<<

Article Optimizing Multi-Family Massing for Affordability and Envelope Performance: An Investigation of the Trade-Offs Implicit in Low Rise Residential Buildings

Grant Mosey 1,* and Brian Deal 2

1 Department of , University of Illinois at Urbana-Champaign, Urbana and Champaign, IL 61820, USA 2 Department of Landscape Architecture, University of Illinois at Urbana-Champaign, Urbana and Champaign, IL 61820, USA; [email protected] * Correspondence: [email protected]

Abstract: The United States faces twin crises of affordability and environmental degradation. Under these clouds, the nation is experiencing an explosive growth in new multi- family housing. This paper seeks to evaluate how designers might optimize the organization of such projects to minimize cost and maximize environmental performance. A method is developed for evaluating the construction costs and environmental performance of multifamily developments across four variables: building height, number of buildings, building width, and building floor area. Our analysis suggests that buildings with deeper floor plates are preferable for both economic and   environmental reasons. We also suggest that taller buildings have more performative envelopes while shorter buildings are more economical to construct. Finally, we offer a method of finding a Citation: Mosey, G.; Deal, B. compromise between economic and environmental objectives for projects of a given square footage. Optimizing Multi-Family Building Most commonly, this “compromise” takes the form of a moderate number of mid-rise buildings Massing for Affordability and with deep floor plates. This investigation adds nuance to the existing literature on the effects of Envelope Performance: An building shape on building cost and envelope performance. It also provides designers with a method Investigation of the Trade-Offs Implicit in Low Rise Residential of potentially constructing multifamily buildings in a less expensive and more environmentally Buildings. Buildings 2021, 11, 99. conscious way. https://doi.org/10.3390/ buildings11030099 Keywords: ; cost estimating; building massing; building optimization

Academic Editor: Pierfrancesco De Paola 1. Introduction Received: 1 February 2021 In 2019, the United States constructed 352,000 units of multi-family housing, exceeding Accepted: 2 March 2021 the number built ten years ago (274,000) by more than 28% [1]. Given an approximate U.S. Published: 6 March 2021 population of 328.2 million, the rate of building implies one new unit is being constructed for every 932 residents in each passing year. Publisher’s Note: MDPI stays neutral As the number of multifamily buildings change (and land and construction prices with regard to jurisdictional claims in increase), the methods and approaches used to build such buildings are also changing. published maps and institutional affil- Multifamily buildings are getting taller and denser. For example, in 2009, 56% of new iations. apartment units were constructed in buildings of three floors or fewer. By 2019, this number had been reduced to 42% [1]. In 2009, only 43% of new construction multi-family units were built in buildings with greater than 50 total . In 2019, such units had become a majority, with 56% of new units built in fifty-plus unit buildings. Cumulatively, Copyright: © 2021 by the authors. these statistics point towards a general growth in both the number of multifamily buildings Licensee MDPI, Basel, Switzerland. and their size. Despite this growth, housing affordability at the household level continues This article is an open access article to decline in the United States [2]. distributed under the terms and In 2015, fully half of U.S. households were paying more than 30% of their income in conditions of the Creative Commons Attribution (CC BY) license (https:// rent or equivalent ownership cost [3]. Housing expenses have risen faster than incomes creativecommons.org/licenses/by/ in much of the urbanized world due to the tripartite of “accelerated (re)urbanization of 4.0/). capital and people, the provision of cheap credit, and the rise of social inequality” [4]. In

Buildings 2021, 11, 99. https://doi.org/10.3390/buildings11030099 https://www.mdpi.com/journal/buildings Buildings 2021, 11, 99 2 of 26

the aftermath of the 2008 recession, the pinch has been particularly acute, with nominal rents growing at 3.6% per year, far outpacing inflation [5]. According to the Bureau of Labor Statistics, from 1984 to 2021, prices for all urban consumer goods have risen 162%. In the same timeframe, rental costs of primary residences for urban consumers have grown 244% [6]. In some , the problem is even more extreme. For example, in San Francisco, the nominal cost of rent has increased by 367% from 1984 to 2019, growing at a rate of more than double inflation during the same time period [7]. The problem is also evident among homeowners. In 80% of United States housing markets, housing costs have grown at a rate greater than incomes; on average, price appreciation has seen an annualized 6.7% growth rate across the nation, while real wage growth was only 3.5% over a similar time period (2018) in the U.S. [8]. Intuitively, at least some of this increase may be driven by the rising cost of construc- tion in the United States. According to Historical Building Cost Indexes, the year over year growth in building costs from 2018 to 2019 varied from 3.0% to 6.2%, depending on region and construction type [9]. Contrast this with the inflation rate as reported by the Bureau of Labor Statistics over the same time period, 1.5% [10]. Even if one were to assume the least costly type of construction in the least costly region, the cost of construction still grew at double the rate of inflation. Occurring simultaneously with the global housing crisis is the ongoing environmental crisis associated with climate change. For example, Lawrence Livermore National Labs reports that, as of 2020, residential energy use accounts for 11.9 quadrillion British Ther- mal Units (BTUs) of energy consumption, representing 11.87% of total consumption [11]. Perhaps more troubling than the sectors gross consumption is the trendline in residen- tial consumption. The Energy Information Administration reports that residential sector energy use is more than twice as high as it was in 1950. While the early 1970s represent something of an inflection point, total residential energy consumption has continued to grow incrementally in recent years [12]. While per unit energy expenditures have been declining since at least 1980, the total per-unit decline has amounted to less than 20% of expenditures [13]. For multi-family buildings with more than five units, a substantial share of this energy is used in space heating and cooling. In 2015, such buildings used 724 trillion BTUs of energy. One hundred eighty-three trillion BTUs were attributed to space heating while 51 trillion BTUs were attributed to air conditioning. Collectively, providing human thermal comfort accounted for 32% of site energy expenditures in large apartment buildings. The vast majority of the energy utilized in is generated either by the direct combustion of natural gas or via the combustion of fossil fuels in the electricity generation process [11]. The primary channel for heat exchange in residential buildings is via their enve- lope [14]. Thus, reducing energy consumption and the associated adverse environmental impacts in multifamily buildings can be accomplished via improving energy performance. Each of the four variables considered in this (building height, number of buildings, building width, and building floor area) have a direct impact on envelope area, and, thus, performance.

Survey of Existing Literature There has been no shortage of studies that have investigated the relationship between building massing and energy consumption. Perhaps the best known means of quantifying envelope geometric proportions is provided by Depecker et al., who developed “shape factor” via the combination of several envelope measures and found this factor to be associated with building energy use [15]. These findings were corroborated for Nordic climates by Danielski et al., demonstrating the robustness of such measures across different weather conditions [16]. Shape factor, which is primarily a measure of compactness, has remained important in recent studies that attempt to evaluate the energy performance of large samples of buildings [14]. Buildings 2021, 11, 99 3 of 26

Shortly after, Pessenlehner and Mahdavi evaluated the performance of compactness measures using energy simulation, finding that, while measures such as “shape factors” were accurate as approximations, they lacked sufficient nuance to account for a variety of factors that impacted building performance, such as orientation and gain [17]. More recently, more complex measures have been developed to account for a greater share of the factors impacting building energy performance. Granadeiro et al., for example, develop Envelope Related Energy Demand [18]. This measure accounts for not only compactness, but also solar heat gain coefficient and site-specific factors that are not included in the calculation of shape factor. Other research has evaluated the effects of shape on building energy consumption without the use of any specific numeric metric. Drew et al., for example, consider a number of different residential typologies and associated shapes, seeking to quantify lifecycle energy consumption for each type [19]. Their findings indicate that relatively dense, low- rise buildings offer the best energy performance of the shapes investigated. Choi et al. compare “plate type” and “ type” shapes, finding the former to be more efficient than the latter in terms of thermal performance [20]. Still others have focused on the impact of a single design variable, such as plan aspect ratio, as it relates to building energy consumption. Wang et al. investigate the impact of aspect ratio, suggesting that a ratio of east/west facing to north/south facing façade is optimized in the range of 0.702 to 0.986. McKeen and Fung focus specifically on the aspect ratio of multifamily buildings in Canada, finding that energy performance is optimized at aspect ratios of 1:1 to 1:1.5, depending on location within the country [21]. More recently, building-shape-related investigations have focused on how shape might be used to create net-zero buildings and complexes of buildings. Savvides et al. consider the massing variables of residential buildings [22], but they appear primarily interested in the availability of building-integrated solar, rather than the performance of the buildings themselves. Ndiaye investigates a variety of more complex building shapes for their suitability for net zero construction, finding that energy consumption varied by between 10 and 20 percent between the best performing and worst performing massing solutions [23]. It is perhaps worth noting that this study focused on office buildings rather than on multifamily residential buildings. While the impacts of shape on energy performance have been well investigated, the relationship between massing variables and cost is less well understood. Chau et al. inves- tigate the optimal height of residential buildings in [24], but their investigation is more concerned with rent prices demand than actual construction costs. It also does not take place in the context of the United States. Barr investigates optimal building height in the United States, but his investigation is concerned with tall buildings in New York [25] rather than the more common low-to-midrise building stock in the United States. Few studies have been found that consider both thermal performance and building cost simultaneously. Capuleto et al. investigate how units within multifamily housing are grouped, accounting for both energy performance and building cost [26]. However, the cost estimation in this study is driven primarily by the areas of rooftop and exterior and does not explicitly consider how costs might vary with building type over multiple heights. Wang et al. use a multi-objective genetic algorithm to optimize envelope related design variables for energy performance and first costs [27]. Once again, their method of cost estimating is parametric, and their design variables consider both massing variables and other envelope variables (e.g., shading). Within the context of the United States, it does not appear as though the effects of massing variables on building cost and thermal performance have been investigated simultaneously. This paper attempts to conduct just such an endeavor. It also seeks to build on the above presidents by creating a more thorough first cost model that accounts for the variable in building construction costs across multiple heights. Four massing variables are evaluated: height in stories, width in feet, number of buildings, and total complex floor areas. Each possible solution is evaluated in two ways: Buildings 2021, 11, 99 4 of 26

via envelope thermal performance and building construction costs. In Section2, we discuss the forms of multifamily building common to the United States to establish height and width limitations. We also discuss the development of the models used to evaluate cost and envelope thermal performance. Section3 explores the results of our analysis, seeking to determine the relationship between each of the four design variables and each of the two design objectives. Section4 seeks to validate the validity of our approach using quantitative methods and to explore where our findings sit within the body of literature. It is worth noting that the variables considered represent a drastic simplification of the architectural design process. In reality, decisions about building massing will be affected by many variables. What follows is not a substitute for architectural design, but rather represents an attempt to hold some design variables in isolation to create some “rules of thumb” that may be of value to designers early in the schematic design process.

2. Materials and Methods Creating a model to investigate how architectural massing variables affect affordability and envelope performance necessitates some degree of architectural understanding of how low-to-midrise multi-family residential buildings are typically, currently constructed. In the following, we discuss typical construction practices for one to ten story apartment buildings and develop a method for assessing their cost and envelope performance.

2.1. Investigating Building Height standard construction practices for residential, multifamily buildings have long involved the use of (light) wood framing techniques. Mimicking traditional single- family residential construction, these techniques are faster and cheaper than traditional commercial building approaches. In fact, in a survey of 352,000 new apartment units from 2019, 71% of the units were identified as “wood framed” [1]. The transition to wood framing approaches has had some industry wide repercussions. In an article entitled “Why America’s New Apartment Buildings All Look the Same”, journalist Justin Fox identifies a proliferation of “stick-built” (light wood framing) mid- rise apartment buildings across the U.S. as the main culprit [28]. Fox notes that this type of framing is much less expensive in terms of both materials and labor costs. It also requires less skilled labor to erect, making it attractive in poorer labor markets. Azoff [29] concurs, noting that the use of light wood framed construction in multifamily building is proliferating because it is more economically feasible than traditional concrete and steel approaches. Wood-framed construction is classified by the 2015 international in three types: • Type III: Exterior walls are of non-combustible material (e.g., fire-retardant-treated wood or masonry) and interior walls are of any material permitted by code (in this case, light wood framing) • Type IV: Exterior walls are of non-combustible material and interior building elements are of solid or laminated wood (i.e., heavy timber construction) • Type V: Exterior walls and building elements are made of any material permitted by code (in this case, light wood framing without fire-retardant-treated wood). Type V construction is familiar as the typical single-family home construction method. These buildings are built with 2 × 4 or 2 × 6 studs and load-bearing walls, wood floor trusses, or wood floor joist and wood framing. There are no requirements for non- combustible materials [30]. According to Chapter 5 of the International Building Code, for fully sprinklered (typically a requirement) buildings of construction Type V with residential , the maximum building height varies from three floors (up to 40 ft) to four floors (up to 70 feet), depending on specific construction details. Generally, this limits the popular Type V light wood frame construction to four floors above grade. Wood-framed of greater Buildings 2021, 11, x FOR PEER REVIEW 5 of 30

According to Chapter 5 of the International Building Code, for fully sprinklered (typ- ically a requirement) buildings of construction Type V with residential occupancy, the maximum building height varies from three (up to 40 ft) to four floors (up to 70 feet), depending on specific construction details. Generally, this limits the popular Type V light wood frame construction to four floors above grade. Wood-framed constructions of greater than four floors must be Type III, having -retardant exterior elements, which allows for a maximum height from four floors (up to 55 feet) to five floors (up to 85 feet) Beginning with the 2012 edition of the International Building Code, it became possi- ble to “stack” light frame buildings (Type III or Type V) atop non-combustible podiums (Type I) [31]. In this way, the height (and number of stories) could be increased. This led to the development of the “five over one” buildings, with five floors of wood framing built above a single of concrete or steel (non-combustible) framing. Starting in 2015, the code was further modified to allow for greater than one podium floor, provided that the wood framing did not exceed 65 feet and the entire project did not exceed 85 feet in height. This made it possible to have five floors of wood framing over multiple floors of Type IA podium. Photos of two “mixed” projects, with light wood framing above non-combustible framing, are shown in Figure 1. Buildings 2021, 11, 99 5 of 26 For the purpose of this paper, it is assumed that the net-to-gross floor area ratios are relatively comparable across buildings of one to ten stories. It is worth noting that this may not be the case. As building height increases, so too does the amount of the floor plate thanthat fouris used floors for must vertical be Typecirculation III, having and fire-retardantincreased . exterior Because wall elements, the comparison which allows is of fordouble-loaded a maximum heightcorridor from buildings, four floors the differenc (up to 55e feet) between to five the floors net-to-gross (up to 85 ratio feet). of a nine- storyBeginning vs. a ten-story with the building 2012 edition is possibly of the quite International small. However, Building Code,the difference it became between possible a tobuilding “stack” that light requires frame buildings staircases (Type and III or Type vs. V) a single-story atop non-combustible building that podiums requires (Type nei- I)ther [31 ].is Inlikely this more way, substantial. the height (andThis numbermay have of the stories) effect couldof making be increased. taller buildings This led more to the“attractive” development than ofmight the “fiveotherwise over one”be expected. buildings, with five floors of wood framing built aboveIt a is single perhaps floor worth of concrete noting that, or steel while (non-combustible) model codes such framing. as the International Starting in 2015, Building the codeCode was are furtherincorporated modified in the to allow construction for greater of thanmany one local podium codes, floor, local providedamendments that theand woodunique framing situations did notwithin exceed certain 65 feet municipalities and the entire do project arise. didFor notexample, exceed in 85 , feet in height. com- Thisbustible made construction it possible to on have a non-combustible five floors of wood plinth framing is not over allowed multiple [32]. floors If applying of Type this IA podium.model to Photos a building of two in “mixed” Chicago, projects, more expensive with light light-gauge wood framing steel above framing non-combustible would be ne- framing,cessitated are for shown much in shorter Figure buildings.1.

FigureFigure 1. 1.A A multifamilymultifamily housinghousing projectproject withwith lightlight woodwood framingframing installedinstalled overover aa non-combustiblenon-combustible podiumpodium inin Sheboygan, WI WI ( (LeftLeft);); 5 5floors floors of of light light wood wood framing framing above above a two-floor a two-floor podium podium in in Champaign, IL (Right). Champaign, IL (Right).

ForAssuming the purpose a typical of this floor-to-floor paper, it is assumedheight of that9–10the feet, net-to-gross one can imagine floor area an eight-story ratios are relativelybuilding with comparable five floors across of light buildings wood of fram oneing to tenatop stories. a three-story It is worth non-combustible noting that this po- maydium. not If belight the wood case. is As the building most economical height increases, construction so too type, does then the amountthe most of economical the floor plateconfiguration that is used would for vertical be wood circulation framing alone and increased for buildings structure. of one Because to five stories the comparison in height. is of double-loaded corridor buildings, the difference between the net-to-gross ratio of a nine-story vs. a ten-story building is possibly quite small. However, the difference between a building that requires staircases and elevators vs. a single-story building that requires neither is likely more substantial. This may have the effect of making taller buildings more “attractive” than might otherwise be expected. It is perhaps worth noting that, while model codes such as the International Build- ing Code are incorporated in the construction of many local codes, local amendments and unique situations within certain municipalities do arise. For example, in Chicago, combustible construction on a non-combustible plinth is not allowed [32]. If applying this model to a building in Chicago, more expensive light-gauge steel framing would be necessitated for much shorter buildings. Assuming a typical floor-to-floor height of 9–10 feet, one can imagine an eight-story building with five floors of light wood framing atop a three-story non-combustible podium. If light wood is the most economical construction type, then the most economical configu- ration would be wood framing alone for buildings of one to five stories in height. Between five and eight stories, five floors of wood framing would be placed atop a podium of one to three stories. For buildings above eight stories in height, all non-combustible construction (with its unlimited height and building area) would be required. Based on the above limitations, we consider heights ranging from one to ten stories using such systems. The specific systems selected and which floors of construction they apply to are discussed in greater detail in Section 2.3, below. Buildings 2021, 11, x FOR PEER REVIEW 6 of 30

Between five and eight stories, five floors of wood framing would be placed atop a po- dium of one to three stories. For buildings above eight stories in height, all non-combus- tible construction (with its unlimited height and building area) would be required. Based on the above limitations, we consider heights ranging from one to ten stories Buildings 2021, 11, 99 using such systems. The specific systems selected and which floors of construction 6they of 26 apply to are discussed in greater detail in Section 2.3, below.

2.2. Investigating Building Width 2.2. Investigating Building Width In the context of high-rise buildings, Clark et al. [33] suggest a depth from the curtain wall toIn the the interior context core of high-rise face of between buildings, 20 Clark and 30 et al.feet. [33 For] suggest a double-loaded a depth from corridor, the curtain this implieswall to a the building interior width core of face between of between 40 and 60 20 feet. and To30 investigate feet. For a double-loadedthe maximum and corridor, min- imumthis implies possible a depths building for width apartment of between units, a 40 plan and investigation60 feet. To investigate was conducted the maximum(Figure 2, below).and minimum Two simple possible two depths for plans apartment were prepared, units, a plan borrowing investigation liberally was from conducted the Fair Housing(Figure2 ,Actbelow). Design Two Manual simple [34] two and bedroom ’s plans Data were [35] prepared, for standard borrowing sizes, liberally from andthe Fairbathroom Housing layouts, Act Design etc. The Manual results [ 34of] the and exerciseArchitect’s suggest Data that,[35] forincluding standard the room width sizes, of thekitchen interstitial and corridor, layouts,a minimum etc. floor The resultsplate width of the of exercise 40 feet and suggest a maximum that, including floor plate the widthwidth of of 70 the feet interstitial is needed. corridor, It is likely a minimum that an architect floor plate skilled width in residential of 40 feet and space a maximum planning couldfloor plateimprove width substantially of 70 feet is on needed. the ergonomics It is likely of that the an proposed architect plans, skilled which in residential are provided space onlyplanning to illustrate could improvethe possibility substantially of accommodating on the ergonomics residential of the units proposed in the given plans, floor which plate are widths.provided only to illustrate the possibility of accommodating residential units in the given floor plate widths.

FigureFigure 2. 2. PossiblePossible Units Units in in 40 40’′ Wide Wide and and 70 70’′ Wide Wide Floor Floor Plates. Plates. To be sure, the use of a double-loaded corridor is not the only method by which a mul- To be sure, the use of a double-loaded corridor is not the only method by which a tifamily residential building can be created. Particularly in low rise buildings, direct entry multifamily residential building can be created. Particularly in low rise buildings, direct to the exterior, intermediate breezeways, enclosed staircases, and row--type configu- entry to the exterior, intermediate breezeways, enclosed staircases, and row-house-type rations may offer better floor area efficiency. To ensure an “apples-to-apples” comparison, configurations may offer better floor area efficiency. To ensure an “apples-to-apples” com- double-loaded corridors are assumed for buildings of all heights. parison, double-loaded corridors are assumed for buildings of all heights. It is worth noting that code per-floor building allowable area is based on a more It is worth noting that code per-floor building allowable area is based on a more com- complicated formula, even when accounting for construction type and the presence of plicated formula, even when accounting for construction type and the presence of fire- fire-sprinklers. The 2015 International Building Code allows for increased areas based on “frontage” or proximity to public open space and/or rights-of-way of certain dimen- sions [30]. As detailed site planning is not considered in this investigation, no upper bound on per-floor area is considered. That being said, multifamily require a max- imum common path of egress of no more than 125 feet. Allowing 125 feet from any unit to one of two egress would imply a maximum floor plate of 500 linear feet (i.e., 4 × 125’). However, this would account only for the required distance to reach the stair, which does not necessarily imply reaching the envelope of the building. Therefore, Buildings 2021, 11, 99 7 of 26

a more conservative maximum floor plate length of 400 feet is used for the purpose of this investigation. At the opposite end of the spectrum, no minimum floor area is provided by the code. Instead, what can be constructed is limited by feasibility. Considering that the minimum floor plate width considered is forty feet, it makes little sense to evaluate any building length under forty feet, as to do so would allow for buildings that were wide enough to accommodate two units, but not long enough to accommodate them. Therefore, the minimum building length that is considered is forty feet. To analyze performance and for the purpose of this paper, possible widths studied will vary between 40 feet and 70 feet in increments of five feet. This is, by necessity, a simplification of actual building layouts. It does not account for vertical circulation and/or mechanical space. It also does not account for non-rectangular building shapes.

2.3. Cost Estimating Cost estimation was conducted using the RS Means Assembly Method [36]. RS Means is an industry-standard cost estimating database that aggregates the real construction costs of many projects around the country to make generalizations about the costs of specific units and assemblies. Because the database is reliant on having real-world project costs, it is generally limited to common assemblies and may be less suitable for estimating more complex or unique building elements. Generally, estimating by assembly is most suitable for new construction projects. More granular unit estimates can produce more specific values but are much more cumbersome to negotiate. Where assembly costs were not available or were not suitable for the proposed method of construction, some unit estimation was utilized. Some Square Foot estimation was also utilized for mechanical, electrical, and trades. Not all systems applied to buildings of all heights. For example, a one-story building would not have an . Therefore, for each assembly, information is provided regarding what height of building it applies to. Only hard costs were considered. Figures include overhead and profit but do not include design, , permitting, general requirements, or general conditions. Because land was not a fixed quantity across all proposed solutions, no land costs were included. The model is also agnostic to the other benefits of preserving open land. For example, it may be wiser to build a taller building with a smaller footprint to preserve open land for recreation space, preservation, carbon sequestration, renewable energy generation, and a host of other possible reasons. These reasons may have their own economic value, which cannot accurately be accounted for using the construction cost method. The proposed model does not have the sophistication to make more nuanced recommendations about land use. Sizing of and footings was based on RS Means axial loading and is based on a structural bay size of 25’-0” by 25’-0’. Live loads were assumed to be 40 pounds per square foot for floors and 20 PSF for roofs, in line with RS Means recommendations. Dead loads included 7.5 PSF for , 25 PSF for partitions, 6 PSF for mechanicals, 100 PSF for concrete floors, and 7 PSF for wood-framed floors. Self-weight of columns was also included on a per-linear-foot basis. Columns were further assumed to be uniformly loaded. In reality, an interior would have a tributary area of 625 square feet (25’ × 25’). “Edge” Columns would have only half of this load, and “Corner” columns would have only one quarter. For simplicity, an average figure of 312.5 SF was used, as designing column layouts was outside the scope of this project. It should be mentioned that considering construction cost is not an exhaustive means of considering building financial performance. A real-estate developer would likely be more interested in return on equity, which would necessitate an understanding of land costs, soft costs, and the entitlement process. A potential renter would likely be more concerned with the total cost of ownership, which may be influenced by construction costs but is also influenced by market conditions, location, utility expenses, and a multitude of other factors not considered here. Buildings 2021, 11, 99 8 of 26

2.3.1. Substructure and Foundations Substructure was composed of concrete slab-on-grade, concrete pad footings, and concrete continuous perimeter strip footings. The size of pad footings varied based on column loads, with a design soil bearing capacity of 6000 pounds per square inch. It was assumed that slabs-on-grade could be ground supported. Excavation to the depth of 48” stem walls was assumed. Substructural systems, their cost, and their use by building height is shown in Table1.

Table 1. Substructural Systems, Costs, and Designated Heights.

VA IIIA IIIA over IA IA System Selected Cost ($) Qty Use 1 2 3 4 5 6 7 8 9 10 A Substructure Concrete Footing, 4.5’ Square, 15” Deep 463.75 Ea Wood Column Footing Concrete Footing, 5.5’ Square, 18” Deep 738.35 Ea Wood Column Footing Concrete Footing, 6.0’ Square, Concrete Column 20” Deep 939.00 Ea Footing Concrete Footing, 7.5’ Square, Concrete Column 25” Deep 1655.00 Ea Footing Concrete Footing, 9.5’ Square, Concrete Column 40” Deep 2982.50 Ea Footing Concrete Footing, 10.5’ Square, Concrete Column 33” Deep 3934.00 Ea Footing Strip Footing, 2.0’ Wide, 12” Continuous Perimeter Deep 45.29 LF Footing Concrete Stem Wall, 4.0’ Deep, Continuous Perimeter Direct Chute 89.09 LF Stem Wall Excavate and Fill, 4.0’ Deep, On-Site Storage 0.35 SF Excavation 4” Slab-On-Grade, Reinforced 6.03 SF Ground Floor

2.3.2. Structure and Shell of two floors and below are assumed to have bearing walls alone. Wood columns are included for wood construction of three stories or greater, as semi-balloon framing is assumed for these heights. Wood joist floors bearing on wood columns or walls are utilized at Type VA and Type IIIA construction, while flat-plate concrete floors bearing on square, cast-in-place columns are utilized at Type IA construction. A wood flat rafter roof is assumed, except at heights of nine and ten stories, where wood framing is not allowed and a flat-plate concrete roof is substituted. Fourty linear feet of interior shear wall is assumed to surround the elevator, while each of two staircases is assumed to be surrounded with 60 linear feet of shear wall. At one to two stories, wood framed shear walls are utilized. At three to five stories, concrete unit masonry shear walls are utilized. For all Type IA construction, cast-in-place concrete shear walls are utilized. Design of structural elements, particularly lateral elements, is outside the scope of this paper. The building shell is composed of light framed walls, which are wood framed at Type III and V construction and framed with cold-formed steel studs at Type I construction. Exterior cladding is fiber-cement siding. Punched openings consist of vinyl-clad wood case- ment , with a -wall-ratio of 24% (implying two (2) windows per 100 SF of exterior wall area). Roofing consists of a single-ply Polyisobutylene (PIB) membrane over tapered rigid insulation. Slab insulation is provided by 2’-0” of polyisocyanurate below grade insulation, as prescribed by ASHRAE 90.1 (q.v. Section 2.4 infra). Each build- ing is said to have two entrance/exit , which are fully glazed aluminum panels in aluminum frames. Structural and Shell systems utilized are shown by cost and building height in Table2. Buildings 2021, 11, 99 9 of 26

Table 2. Structure and Shell Systems, Costs, and Designated Heights.

VA IIIA IIIA over IA IA System Selected Cost ($) Qty. Use 1 2 3 4 5 6 7 8 9 10 B Shell Wood Column, 12” × 12”, 10’ SF Column at Light Unsupported 0.32 Flr Framing Wood Column, 10” × 10”, 10’ SF Column at Light Unsupported 0.26 Flr Framing Wood Column, 8” × 8”, 10’ SF Column at Light Unsupported 0.16 Flr Framing Column at 12” Concrete Column, tied 18.15 VLF Concrete Framing Column at 14” Concrete Column, tied 23.00 VLF Concrete Framing Column at 16” Concrete Column, tied 28.50 VLF Concrete Framing Column at 20” Concrete Column, tied 42.50 VLF Concrete Framing 8” CMU Wall, 75% Filled 3.85 SF Shear/Core Wall 12” Concrete Wall, Plain Finish 8.90 SF Shear/Core Wall Wood Joist Floor, 20’ Bay, 2 × 10 at 16” 18.55 SF Floor at Light Framing Floor at Concrete Flat Plate CIP Floor; 25’ Bay, 8.5” Thick 17.12 SF Framing Roof Above Light Roof, Wood, Flat Rafter, 2 × 12 at 16” 4.70 SF Framing 2 × 6 at 16” Exterior Wall with 8” Exterior Closure at Fiber Cement Siding 16.45 SF Light Framing 3-5/8” Metal Stud Exterior Wall with Exterior Closure at 6” Cedar Siding 14.15 SF Concrete 3’ × 4’ Vinyl Clad Casement Window, Insulated Glass 1073.00 Ea Punched Openings Full Vision Aluminum Exterior Exterior Cooridor with Panic Hardware 5550.00 Ea Doors PIB Single-Ply 100-mil Roofing Membrane, Fully Adhered 4.07 SF Flat Roof Membrane Rigid Insulation, Roof Deck, Flat Roof Tapered for Drainage 1.26 SF Insulation Rigid Insulation, Isocyanurate, Slab Perimeter R15, 3” Thick 2.72 SF Insulation

2.3.3. Interiors As in exterior walls, interior partitions are wood at wood-framed conditions and cold-formed steel at concrete conditions. Wall and cladding in both cases is painted gypsum wall board. At low-rise conditions, interior stairs are wood-box type, while at mid- and high-rise conditions, cast-in-place stairs are utilized. Interior millwork includes particle core wood entry doors in hollow metal frames, hollow core interior doors in pine frames, and hard-wood base and wall cabinets with laminate countertops. Interior flooring is split between vinyl tile and broadloom carpet. specialties include a medicate , towel bar, and toilet tissue dispenser. Interior fittings along with their costs are shown in Table3.

2.3.4. Services Buildings of three stories or fewer are assumed to be walk-ups, in accordance with the Americans with Disabilities Act Technical Assistance Manual, which exempts buildings of three floors or fewer from elevator requirements [37]. Elevators in three and four floor buildings are assumed to be of hydraulic character, while elevators in taller buildings are electric traction, based on the standard elevator types provided for in RS Means Unit Estimating Method [36], with additions for additional floors and linear feet of elevator run. Similarly, it is assumed that manual trash removal is only feasible in a walk-up setting, so a trash chute is specified for all buildings of greater than three stories. Buildings 2021, 11, 99 10 of 26

Table 3. Interior Systems, Costs, and Designated Heights.

VA IIIA IIIA over IA IA System Selected Cost ($) Qty. Use 1 2 3 4 5 6 7 8 9 10 C Interiors 2 × 4 at 16” Wood Partition with 5/8” Partition at Light Gypsum Both Sides 5.29 SF Framing 3-5/8” Metal Studs at 16” with 5/8” Partition at Gypsum Both Sides 5.24 SF Concrete Framing 3’ × 7’ Particle Core Wood Door in Hollow Metal Frame 893.00 Ea Unit Entry Doors 3’ × 7’ Hollow Core Lauan Door in Pine Frame 721.00 Ea Unit Interior Doors Stairs; Wood; Prefabricated Box Type, 14 Risers 2930.00 Flight Low-Rise Stairs Stairs; CIP Concrete; 16 Risers, without nosing 5955.00 Flight High-Rise Stairs Hardwood Base Cabinet, One Drawer, 24” Wide 537.50 Ea Kitchen Casework Hardwood Wall Cabinet, 30” High, 48” Wide 754.50 Ea Kitchen Casework Countertop, Plastic Laminate, Economy 41.00 LF Kitchen Casework 5/8” Ceiling Gypsum, Textured and Painted 5.01 SF Ceiling Finish Painting Plaster and Drywall, Primer and Two Coats, Roller 0.93 SF Interior Painting Floor Covering at Vinyl Tile, 3/32”, Minimum 5.10 SF Kitchen/Living Carpet, 12 oz Nylon Fusion, with add Floor Covering at for Padding 5.03 SF Cooridor/Bed Medicine Cabinet, Sliding Mirroed Residential Bath Doors 234.50 Ea Specialties Residential Bath Towel Bar, 30” 83.50 Ea Specialties Toilet Tissue Dispenser, Single Roll, Residential Bath Surface Mounted 39.10 Ea Specialties

The number of elevators is calculated using the Round-Trip Time/Percentage Han- dling Capacity method explained in Grondzik and Kwok [38]. When calculated for a 2500-pound passenger elevator in a multi-family building, this system suggests a min- imum number of elevators based on the number of units, with taller buildings having a lower number of units before requiring a second elevator. The maximum number of units in a single elevator building ranged from 880 for a four-story building to 597 for a ten-story building. Practically, this means that a second elevator is required only for the largest buildings considered. Mechanical, electrical, and plumbing system costs are based on median per-unit-floor- area construction costs for each system: low-rise (one to three floors), mid-rise (two to seven floors), and high-rise (eight to ten floors) construction. Wet-pipe sprinklers are included for all light framed buildings. Municipal water pressure is assumed to be adequate for low-rise buildings, with a fire-pump included for buildings of greater than three stories. All units are assumed to require three wired smoke detectors, with each building managed by an addressable alarm panel with up to 200 connections. Plumbing, electrical, fire protection, conveying, and mechanical systems are show in Table4.

2.3.5. Equipment Equipment includes standard residential appliances, which are constant across build- ing geometries and based on unit numbers. In-unit laundry is included. Twelve square feet of aluminum interior blinds are included for each window. Equipment is shown in Table5. Buildings 2021, 11, 99 11 of 26

2.3.6. Sitework Site costs are based on the mean site costs per unit floor area for low, mid, and high-rise apartment buildings from RS Means. This accounts for a widely variable set of site conditions while maintaining agnosticism to any specific location. Sitework cost assumptions are given in Table6.

Table 4. Building Services Systems, Costs, and Designated Heights.

System Selected Cost ($) Qty. Use 1 2 3 4 5 6 7 8 9 10 D Services Hydraulic Elevator, 3500 lb Mid-Rise Vertical Capacity, Two Stops 73,745.00 Ea Circulation Hydraulic Elevator, Add for Total Mid-Rise Vertical Run Greater than 12’ 1080.00 VLF Circulation Hydraulic Elevator, Add for each Mid-Rise Vertical stop over two 8650.00 Ea Circulation Electric Traction Elevator, 3500 lb High-Rise Vertical Capacity, Four Stops 162,450.00 Ea Circulation Electric Traction Elevator, Add for High-Rise Vertical Total Run Greater than 40’ 1095.00 VLF Circulation Electric Traction Elevator, Add for High-Rise Vertical each stop over four 11,075.00 Ea Circulation Trash Chute, Spiral Type 3185.00 Floor Waste Conveying Plumbing, Allowance, Apartment Low-Rise Plumbing 1 to 3 Floors 7.30 SF Allowance Plumbing, Allowance, Apartments Mid-Rise Plumbing 4 to 7 Floors 9.10 SF Allowance Plumbing, Allowance, Apartments High-Rise Plumbing 8 to 24 Floors 9.55 SF Allowance HVAC, Allowance, Apartments 1 Low-Rise Mech. to 3 Floors 4.47 SF Allowance HVAC, Allowance, Apartments 4 Mid-Rise Mech. to 7 Floors 7.70 SF Allowance HVAC, Allowance, Apartments 8 High-Rise Mech. to 24 Floors 9.90 SF Allowance Electrical, Allowance, Apartments Low-Rise Electrical 1 to 3 Floors 5.65 SF Allowance Electrical, Allowance, Apartments Mid-Rise Electrical 4 to 7 Floors 8.70 SF Allowance Electrical, Allowance, Apartments High-Rise Electrical 8 to 24 Floors 9.55 SF Allowance Wet Pipe Sprinkler System, Light Ground Floor Fire Hazard, First Floor 3.92 SF Protection Wet Pipe Sprinkler System, Light Upper Floor Fire Hazard, Each Additional Floor 2.97 SF Protection Standard Low-Rise Sprinkler Low-Rise Sprinkler Accessory Package, 3 Floors 5800.00 Ea Fit Out Standard Mid-Rise Sprinkler Mid-Rise Sprinkler Accessory Package, 8 Floors 11,675.00 Ea Fit Out Standard High-Rise Sprinkler High-Rise Sprinkler Accessory Package, 16 Floors 26,500.00 Ea Fit Out Wet Standpipe, 4” Diameter, One Floor 10,375.00 Ea Fire Protection Riser Wet Standpipe, 4” Diameter, Each Additional Floor 2700.00 Ea Fire Protection Riser Fire Pump, 30 HP, 500 Gallons per Mid-to-High Rise Minute 21,150.00 Ea Booster Wired Fire Alarm Ion Detector (Smoke) Detector 251.00 Ea System Alarm Panel, Addressable, Without Voice, Up to 200 Wired Fire Alarm Connections 6300.00 Ea System Buildings 2021, 11, 99 12 of 26

Table 5. Equipment Systems, Costs, and Designated Heights.

VA IIIA IIIA over IA IA System Selected Cost ($) Qty Use 1 2 3 4 5 6 7 8 9 10 E Equipment and Furnishings Furnishings, Blinds, Interior, Venetian Window Aluminum, 2” Stock 6.63 SF Treatements Cooking Range, 30”, Freestanding, Residential Minimum 611.00 Ea Appliances Residential Hood For Range, Two Speed, Ventilated 394.00 Ea Appliances Residential Microwave Oven, Minimum 291.00 Ea Appliances Residential Refrigerator, 18-20 CF, Minimum 982.00 Ea Appliances Dishwasher, Built-In, Two Cycles, Residential Minimum 715.00 Ea Appliances Residential Garbage Disposal, Sink-Type, Minimum 272.00 Ea Appliances Residential Washing , Automatic, Minimum 872.00 Ea Appliances Dryer, Electric, Front Loading, Energy Star Residential Qualified 900.00 Ea Appliances

Table 6. Sitework Systems, Costs, and Designated Heights.

VA IIIA IIIA over IA IA System Selected Cost Qty. Use 1 2 3 4 5 6 7 8 9 10 G Building Sitework Sitework, Allowance, Low-Rise Sitework Apartment 1 to 3 Stories 8.55 SF Allowance Sitework, Allowance, Mid-Rise Sitework Apartment 4 to 7 Stories 7.85 SF Allowance Sitework, Allowance, High-Rise Sitework Apartment 8 to 24 Stories 6.45 SF Allowance

2.4. Envelope Evaluation In order to preserver applicability across locations, site plans, and mechanical con- figurations, environmental evaluation will be based on envelope configuration at one single locational (for consistent and uniform weather inputs). While this discounts several important uses of residential energy (e.g., , plug load), these latter uses are largely static across building massing. Envelope thermal qualities, however, are variable based on height, width, length, and number of buildings. Envelope will be evaluated by using the method outlined in the ASHRAE Standard 90.1 Prescriptive Compliance Path [39]. This method prescribes maximum U-factors for exterior walls, windows, doors, and roof elements. These U-factors can be multiplied by an assembly’s area to calculate a weighted UA value, heretofore referred to as a “Thermal Loss Factor.” Ground contact slabs are also accounted for, albeit by an F-Factor and a slab perimeter rather than a U-factor and assembly area. Therefore, the thermal loss value of a given solution is to be defined as follows: E = N (URAR + UWAW + UNAN + UDAD + PF) (1) where: • E is the calculated Thermal Loss Factor; • N is the total number of identical buildings proposed; • UR, UW, UN, and UD are the assembly U-Values for Roofs, Walls, Windows, and Doors, respectively; Buildings 2021, 11, 99 13 of 26

• AR, AW, AN, and AD are the per-building areas of Roofs, Walls, Windows, and Doors, respectively; • P is the per building perimeter of the ground-contact slab; • F is the slab F-factor, as described in ASHRAE 90.1. Required U-Values vary by ASHRAE Climate Zone. For the purpose of this investiga- tion, Climate Zone 5 was selected for its national centrality. Required U and F values for Climate Zone 5 A are provided in Table7, below:

Table 7. ASHRAE 90.1 Required Assembly U and F Values for Climate Zone 5.

U/F Values Roof U = 0.027 Wall U = 0.051 Window U = 0.350 Door U = 0.500 Slab F = 0.860

Areas are calculated based on a 10’-0” floor-to-floor height. While a 3’-0” parapet is included in calculating the cost of the wall, it is not included in the wall area in the calcu- lation of Thermal Loss Factor, as it is entirely outside of the weather envelope of a given building. In all cases, slab insulation is assumed to consist of 24” of rigid polyisocyanurate with an R-Value of 15, meeting the required minimum for F-Value. For context, consider that the units for thermal loss value (E) will be in BTU per hour per foot-squared degree Fahrenheit. If one assumes an average difference between indoor and outdoor temperature of 20 degrees, then one increment in thermal loss value can be thought of as 438 BTUs per year per square foot of envelope area. 438 BTUs per year represents the amount of energy in 0.0438 therms of natural gas or 2.567 kilowatt hours of electricity. Of course, the actual amount of natural gas or electricity consumed at the site would also have to account for losses in equipment efficiency and site-to-source factor. Thermal loss value represents a simplification of the dynamics of building heat loss/gain. While ASHRAE standards are written to account for an envelope’s resistance to conductance, this is not the only way in which heat can be lost or gained through a building. A given portion of envelope will also be profoundly affected via its exposure to sun, particularly as it relates to fenestration. Because this model does not include site plan- ning or orientation, only conductive heat loss is considered. In reality, any more complete accounting of energy performance will necessitate an understanding of orientation and surroundings to which this model is agnostic. According to Sachs et al. [40], vertical transportation accounts for between one third and one half of one quadrillion BTUs of primary energy use in the United States each year, equivalent to about 2–5% of the energy required for buildings covered by ASHRAE 90.1. The share of this energy used by relatively low-rise residential buildings is unclear. However, as this investigation has focused on the effects of massing on envelope thermal performance, elevator energy is not considered.

3. Results The model constructed has four straightforward variables: total complex floor area, number of buildings, building height, and building width. Given these four values, a fifth value, building length, can be calculated. For example, if one assumes a 50,000 square foot floor area, a single building, ten floors in height, and a fifty-foot width, one inevitably arrives at a building length of 100 feet. This structure allows for the isolation of each variable to measure its effect on building cost and thermal loss value. First, we can hold the complex total floor area constant and measure the effects of height, width, and number of buildings. We can also assume a static number of buildings, width, and building footprint Buildings 2021, 11, 99 14 of 26

(i.e., first floor area) and measure the effects of changing height with a fungible gross floor area. Finally, we can consider five total floor areas and endeavor to find the optimal width, number of buildings, and height for each scenario.

3.1. Building Width To find the optimal building width for both energy and cost purposes, we elected to hold the model square footage constant at 100,000 square feet and the count of buildings constant at five. Arithmetically, this offers essentially the same results as considering a single building of 20,000 gross square feet. The per unit floor area costs for buildings of varying floor counts by width in shown in Figure3. The thermal loss values for these configurations are shown in Figure4. Please note that, in both figures, some floor plates are “non-viable” in that they result in building lengths of greater than 400 feet or less than 40 feet, as discussed above. In these cases (e.g., for an eight-floor building of 70 foot width), nodes on the graphs are shown with an “open” circle rather than a “shaded” circle. For heights in which no width is viable (i.e., at nine floors, no buildings of the width considered result in suitable lengths), lines are omitted entirely. Generally, wider floor plates are shown to be more economical. This is especially true for single-story buildings. This is consistent with cost fluctuating with perimeter area. With the floor area constant, it is least costly to build as few walls as possible to enclose the proposed volume. Only at a higher number of floors, where building widths start to become so small that they increase perimeter length, does building narrower buildings become less costly. In terms of thermal performance, the worst performing viable solution is a single- story building of 50-foot width. Such a solution maximizes the perimeter area and has no additional floors to share the thermal impact of the roof and slab. As the building becomes wider and the surface-to-volume ratio decreases, a single-story building becomes more thermally efficient. This is likely because the opaque roof and slabs are more thermally resistant than the walls, which have openings for doors and windows and are therefore less thermally efficient. It is also worth noting that, for most widths, a three-story building has the lowest thermal loss value, with greater numbers for both taller and shorter buildings. The most thermally efficient solutions are buildings with wide floor plates and medium heights. Buildings 2021, 11These, x FOR PEER balance REVIEW the desire to share the roof and slab between as many stories as possible17 of 30

while simultaneously limiting the height of the inefficient walls and their windows.

Cost Study of Building Width for 5 Building, 100,000 SF Complex

$170

$160

$150

$140

$130

Price per Square Foot $120

$110 35 40 45 50 55 60 65 70 75 Typical Building Width

One Floor Two Floors Three Floors Four Floors

Five Floors Six Floors Seven Floors Eight Floors

Figure 3. CostFigure Study 3. Costof Building Study Widths of Building with a WidthsConstant withTotal aProject Constant Volume Total and Project Number Volume of Buildings and Numberand Variable of Floor Heights. Buildings and Variable Floor Heights. Generally, wider floor plates are shown to be more economical. This is especially true for single-story buildings. This is consistent with cost fluctuating with perimeter area. With the floor area constant, it is least costly to build as few walls as possible to enclose the proposed volume. Only at a higher number of floors, where building widths start to become so small that they increase perimeter length, does building narrower buildings become less costly. In terms of thermal performance, the worst performing viable solution is a single- story building of 50-foot width. Such a solution maximizes the perimeter area and has no additional floors to share the thermal impact of the roof and slab. As the building becomes wider and the surface-to-volume ratio decreases, a single-story building becomes more thermally efficient. This is likely because the opaque roof and slabs are more thermally resistant than the walls, which have openings for doors and windows and are therefore less thermally efficient. It is also worth noting that, for most widths, a three-story building has the lowest thermal loss value, with greater numbers for both taller and shorter buildings. The most thermally efficient solutions are buildings with wide floor plates and medium heights. These balance the desire to share the roof and slab between as many stories as possible while simultaneously limiting the height of the inefficient walls and their windows. Considering the effects of width alone, it appears that, for the vast majority of viable length and height combinations, a wider floor plate is more thermally efficient. Buildings 2021, 11, 99 15 of 26 Buildings 2021, 11, x FOR PEER REVIEW 18 of 30

Envelope Study of Building Width for 5 Building, 100,000 SF Complex

15,000

14,000

13,000

12,000

Buildings 2021, 11, x FOR PEER11,000 REVIEW 18 of 30

10,000 Thermal Loss Value 9,000 8,000Envelope Study of Building Width for 5 Building, 100,000 SF Complex 35 40 45 50 55 60 65 70 75 15,000 Typical Building Width 14,000

13,000 One Floor Two Floors Three Floors Four Floors

12,000 Five Floors Six Floors Seven Floors Eight Floors

11,000 Figure 4. ThermalFigure 4.LossThermal Value Study Loss Valueof Building Study Widths of Building with a Constant Widths Total with Project a Constant Volume Total and Project Number Volume of Buildings and and Variable Floor10,000 Heights.

NumberThermal Loss Value of Buildings and Variable Floor Heights. 9,000 3.2. Number of Buildings Considering8,000 the effects of width alone, it appears that, for the vast majority of viable To consider the effect of the number of buildings, total floor area is once again held length and height35 combinations, 40 45 a wider 50 floor 55 plate is 60 more thermally 65 70 efficient. 75 constant at 100,000 square feet. In this scenario, height is also held constant at three floors, Typical Building Width and only the number of buildings is allowed to vary. The segmented costs of each complex 3.2. Number of Buildings of buildings is shown in Figure 5. The segmented contributors to thermal loss value are One Floor Two Floors Three Floors Four Floors To considershow the in effect Figure of 6. theOne number building ofconfiguration buildings, did total not floor result area in a issolution once againof viable held dimen- constant at 100,000sionsFive and Floors square was dropped feet.Six InFloors from this the scenario, analysis.Seven Floors height isEight also Floors held constant at three floors, and only the number of buildings is allowed to vary. The segmented costs of each Figure 4. Thermalcomplex Loss of Value buildings Study of is Building shown Widths in Figure with5 a. Constant The segmented Total Project contributors Volume and Number to thermal of Buildings loss and Variable Floor Heights.Cost Study on Number of Buildings for Three Floor, 100,000 SF value are show in Figure6. One buildingComplex configuration did not result in a solution of viable dimensions and3.2. was Number dropped of Buildings from the analysis. The10 findings here are unambiguous. The greater the number of buildings, the greater To consider the effect of the number of buildings, total floor area is once again held 9 the cost of construction.constant at The100,000 cost square of interiors, feet. In services,this scenario, equipment, height is also and held sitework constant are at largely three floors, 8 static across buildingand only counts the number (due of to buildings the nature is allowed of this to analysis), vary. The thesegmented cost of costs the shell of each and, complex 7 to a lesser extent,of buildings the substructure is shown in increase Figure 5. withThe segm the numberented contributors of buildings. to thermal This loss would value are 6 conform to ourshow intuitive in Figure expectations 6. One building that, for configuration a given square did not footage, result in it isa solution more economical of viable dimen- 5 to building a singlesions and building was dropped than multiple from the buildings. analysis. 4 Number of Buildings 3 2 Cost Study on Number of Buildings for Three Floor, 100,000 SF Complex $- $2,000,000 $4,000,000 $6,000,000 $8,000,000 $10,000,000 $12,000,000 $14,000,000 Project Costs 10 9 Substructure Shell Interiors Services Equipment Sitework 8

7 Figure 5. Study of Cost by Number of Buildings with Height and Width Constant. 6 5 The findings here are unambiguous. The greater the number of buildings, the greater 4

Number of Buildings the cost of construction. The cost of interiors, services, equipment, and sitework are largely 3 static across building counts (due to the nature of this analysis), the cost of the shell and, 2

$- $2,000,000 $4,000,000 $6,000,000 $8,000,000 $10,000,000 $12,000,000 $14,000,000 Project Costs

Substructure Shell Interiors Services Equipment Sitework

Figure 5.FigureStudy 5. of Study Cost of by Cost Number by Number of Buildings of Buildi withngs with Height Height and and Width Width Constant. Constant.

The findings here are unambiguous. The greater the number of buildings, the greater the cost of construction. The cost of interiors, services, equipment, and sitework are largely static across building counts (due to the nature of this analysis), the cost of the shell and, Buildings 2021, 11, x FOR PEER REVIEW 19 of 30

Buildings 2021, 11, 99 to a lesser extent, the substructure increase with the number of buildings. This would con-16 of 26 form to our intuitive expectations that, for a given square footage, it is more economical to building a single building than multiple buildings.

Envelope Study on Number of Buildings for Three Floor, 100,000 SF Complex

9

7

5

3

Number of Buildings Number 1

0 2000 4000 6000 8000 10000 12000 Thermal Loss Value

Window Door Wall Roof Slab

Figure 6. StudyFigure of Thermal 6. Study Loss ofvalue Thermal by Number Loss valueof Buildings by Number with Height of Buildings and Width with Constant. Height and Width Constant.

TheThe effect is is even even more more dramatic dramatic when when considering considering envelope. envelope. Because Because the number the number of of windowswindows is proportional to to the the area area of ofthe the wa walls,lls, increasing increasing the total the totalperimeter perimeter length length by by adding more buildings increases heat transfer for both the windows and walls. Logically, adding more buildings increases heat transfer for both the windows and walls. Logically, a a greater perimeter length with more buildings will increase envelope energy. greater perimeter length with more buildings will increase envelope energy. 3.3. Building Height 3.3. Building Height There are two ways to isolate the effect of building height. The first holds the total projectThere square are footage, two ways number to isolate of buildings, the effect and of building building width height. constant The to first measure holds the the total projecteffect of square height. footage, The second number allows of the buildings, total square and footage building to widthvary, instead constant holding to measure the the effectarea of of the height. building The footprint second allows (or per-floor the total area) square constant. footage Figure to vary, 7 shows instead the holdingcost of the the area ofstatic the buildingtotal square footprint footage (orscenario, per-floor while area) Figure constant. 8 shows Figure the envelope7 shows for the this cost scenario. of the static totalFigure square 9 shows footage the cost scenario, of a static while footprint Figure scenario8 shows (with the various envelope footprints), for this scenario.while FigureFigure 9 shows10 shows the the cost thermal of a static loss footprint value of scenariothis scenario. (with Dimensionally various footprints), non-viable while solutionsFigure 10areshows Buildings 2021, 11, x FOR PEER REVIEW 20 of 30 theshown thermal with lossopen value circles. of this scenario. Dimensionally non-viable solutions are shown with open circles.

Cost Study on Optimal Building Height for Given Floor Area

$150.00 $145.00 $140.00 $135.00 $130.00 $125.00 $120.00

Price per Square Foot $115.00 $110.00 $105.00 01234567891011 Number of Floors

50,000 SF 100,000 SF 150,000 SF 200,000 SF 250,000 SF

FigureFigure 7. 7. PerPer Unit Unit Floor Floor Area Area Costs Costs of of Buildings Buildings of of Variou Variouss Heights Heights with with a aStatic Static Total Total SquareSquare Footage. Footage .

When the footprint of the entire building is held constant, costs make a slightly U- shaped curve for viable solutions. Generally, building a shorter building is more econom- ical. This stands to reason, given that taller buildings require additional structure and ver- tical circulation equipment. Note that it is difficult to find a square footage in which all building heights are dimensionally viable. This problem is mitigated in the “static foot- print” model below.

Envelope Study on Optimal Building Height for Given Floor Area 0.1000

0.0900

0.0800

0.0700

0.0600

0.0500 Thermal Loss Value per Square Foot

0.0400 01234567891011 Number of Floors 50,000 SF 100,000 SF 150,000 SF 200,000 SF 250,000 SF

Figure 8. Per Unit Floor Area Thermal Loss Value of Buildings of Various Heights with a Static Total Square Footage.

The case with thermal loss value shows a more U-shaped distribution, with greater envelope performance in buildings of moderate height. As total square footage increases, taller and taller buildings become more and more optimal. This suggests that, to minimize envelope heat transfer, taller buildings are optimal for large square footages while mid- size buildings are optimal for smaller square footages. Viability across floors is limited for Buildings 2021, 11, x FOR PEER REVIEW 20 of 30

Cost Study on Optimal Building Height for Given Floor Area

$150.00 $145.00 $140.00 $135.00 $130.00 $125.00 $120.00

Price per Square Foot $115.00 $110.00 $105.00 01234567891011 Number of Floors

50,000 SF 100,000 SF 150,000 SF 200,000 SF 250,000 SF

Figure 7. Per Unit Floor Area Costs of Buildings of Various Heights with a Static Total Square Footage.

When the footprint of the entire building is held constant, costs make a slightly U- shaped curve for viable solutions. Generally, building a shorter building is more econom- ical. This stands to reason, given that taller buildings require additional structure and ver- Buildings 2021, 11, 99 tical circulation equipment. Note that it is difficult to find a square footage17 of 26 in which all building heights are dimensionally viable. This problem is mitigated in the “static foot- print” model below.

Envelope Study on Optimal Building Height for Given Floor Area 0.1000

0.0900

0.0800

0.0700

0.0600

0.0500 Thermal Loss Value per Square Foot

0.0400 01234567891011 Buildings 2021, 11, x FOR PEER REVIEW Number of Floors 21 of 30 50,000 SF 100,000 SF 150,000 SF 200,000 SF 250,000 SF

Figure 8. Per Unit Floor Area Thermal Loss Value of Buildings of Various Heights with a Static Total Square Footage. Figureeach square 8. Per Unitfootage. Floor This Area can Thermal be managed Loss Value by holding of Buildings the size of Various of each Heights floor plate with constant, a Static Total Squarerather Footage.than the size of the entire building, as shown below. The case with thermal loss value shows a more U-shaped distribution, with greater envelope performance in buildings of moderate height. As total square footage increases, Costtaller Per and Floor taller Area buildings by Height become given more Seven and Possible more optimal. Footprints This suggests that, to minimize envelope heat transfer, taller buildings are optimal for large square footages while mid- $150.00 size buildings are optimal for smaller square footages. Viability across floors is limited for $145.00

$140.00 5,000 SF

$135.00 7,500 SF

$130.00 10,000 SF

$125.00 12,500 SF 15,000 SF

Price Per Square Foot $120.00 17,500 SF $115.00 20,000 SF $110.00 01234567891011 Number of Floors

FigureFigure 9.9. CostCost perper Unit Floor Area Area given given a aStatic Static Footprint Footprint and and Variable Variable Total Total Building Building Area. Area.

WhenCost per the floor footprint area by ofheight the reflects entire buildingcosts when is operating held constant, with a constant costs make floor a plate. slightly U-shapedThat is, where curve a forone-story viable building solutions. is 5000 Generally, SF, a two-story building building a shorter is building10,000 SF is(5000 more SF eco- nomical.per floor), This and stands so on. In to this reason, scenario, given the that effects taller of buildings height can require be seen additional more clearly structure because and verticalall solutions circulation are viable. equipment. This method Note thatdemonstrates it is difficult a clear to find U-shaped a square curve footage for each in which pro- all buildingposed footprint. heights areThis dimensionally suggests that viable.neither This one-story problem buildings is mitigated nor buildings in the “static taller footprint” than modelthree-stories below. are generally economical. As with the previous example, the difficulty with tallerThe buildings case with continues thermal to lossbe the value additional shows cost a more of structure U-shaped and distribution, conveying. However, with greater in this example, we can see clearly the problem with single-floor buildings that have only envelope performance in buildings of moderate height. As total square footage increases, one floor to share the cost of the roof and . taller and taller buildings become more and more optimal. This suggests that, to minimize envelope heat transfer, taller buildings are optimal for large square footages while mid-size Thermalbuildings Loss are Value optimal Per Floor for smaller Area by square Height footages.given Seven Viability Possibl acrosse floors is limited for each square footage. This can beFootprints managed by holding the size of each floor plate constant, rather

0.16 than the size of the entire building, as shown below.

0.14 5000 SF 0.12 7500 SF

0.1 10000 SF 12500 SF 0.08 15000 SF

0.06 17500 SF

Thermal Loss Value Per Square Foot 0.04 20000 SF 01234567891011 Number of Floors

Figure 10. Thermal Loss Value per Unit Floor Area given a Static Footprint and Variable Total Building Area. Buildings 2021, 11, x FOR PEER REVIEW 21 of 30

each square footage. This can be managed by holding the size of each floor plate constant, rather than the size of the entire building, as shown below.

Cost Per Floor Area by Height given Seven Possible Footprints

$150.00

$145.00

$140.00 5,000 SF

$135.00 7,500 SF

$130.00 10,000 SF

$125.00 12,500 SF 15,000 SF

Price Per Square Foot $120.00 17,500 SF $115.00 20,000 SF $110.00 01234567891011 Number of Floors

Figure 9. Cost per Unit Floor Area given a Static Footprint and Variable Total Building Area.

Cost per floor area by height reflects costs when operating with a constant floor plate. That is, where a one-story building is 5000 SF, a two-story building is 10,000 SF (5000 SF per floor), and so on. In this scenario, the effects of height can be seen more clearly because all solutions are viable. This method demonstrates a clear U-shaped curve for each pro- posed footprint. This suggests that neither one-story buildings nor buildings taller than three-stories are generally economical. As with the previous example, the difficulty with Buildings 2021, 11, 99 taller buildings continues to be the additional cost of structure and conveying.18 of 26 However, in this example, we can see clearly the problem with single-floor buildings that have only one floor to share the cost of the roof and foundation.

Thermal Loss Value Per Floor Area by Height given Seven Possible Footprints

0.16

0.14 5000 SF 0.12 7500 SF

0.1 10000 SF 12500 SF 0.08 15000 SF

0.06 17500 SF

Thermal Loss Value Per Square Foot 0.04 20000 SF 01234567891011 Number of Floors

FigureFigure 10. Thermal 10. Thermal Loss Value Loss per Value Unit per Floor Unit Area Floor given Area a Static given Footprint a Static and Footprint Variable andTotal Variable Building Total Area. Building Area.

Cost per floor area by height reflects costs when operating with a constant floor plate. That is, where a one-story building is 5000 SF, a two-story building is 10,000 SF (5000 SF per floor), and so on. In this scenario, the effects of height can be seen more clearly because all solutions are viable. This method demonstrates a clear U-shaped curve for each proposed footprint. This suggests that neither one-story buildings nor buildings taller than three- stories are generally economical. As with the previous example, the difficulty with taller buildings continues to be the additional cost of structure and conveying. However, in this example, we can see clearly the problem with single-floor buildings that have only one floor to share the cost of the roof and foundation. With a static footprint, optimal solutions for envelope emerge as height increases for all floor plate sizes. While holding the total complex floor area constant produces mid-rise solutions, holding the individual floor areas constant produces high-rise solutions. This is likely because, as building get taller, their exterior envelope to floor area ratios decline. This makes taller buildings more thermally efficient, but also makes this effect subject to the law of diminishing returns. That is to say, the efficiency increase realized from moving from a one to a two-story building is intrinsically less than the increase realized from moving from a nine to a ten-story building.

3.4. Combined Effects Massing as part of schematic design can be a both highly and loosely constrained variable. For example, a small site constrained on all four sides may allow for only an adjustment in height. However, in many other scenarios, height, number of buildings, and width may be unconstrained. A multi-building complex of similar use buildings, for example. In the following exercise, we explore the lowest cost and thermal loss value solutions for four possible total project square footages: 62,500, 125,000, 250,000, and 500,000. We do this to address the question: What is the optimal massing configuration (for each total square footage)? A summary of our findings is shown in Figure 11. Information for thermal loss value is shown in Figure 12. Solutions are evaluated based on their total cost or thermal loss value. In Figure 10, “greener” solutions represent a lower total cost. In Figure 12, “greener” solutions represent a lower thermal loss value. Therefore, in both tables, green solutions are preferable to red solutions. When evaluating costs (Figure 11) the “greenest” and therefore most preferable (i.e., least costly) solutions are found when building a greater number of shorter buildings. For Buildings 2021, 11, 99 19 of 26

example, for a theoretical complex with a total gross floor area of 250,000 square feet, the Buildings 2021, 11, x FOR PEER REVIEW 23 of 30 least expensive solution is for there to be three (3) three-story buildings. This appears to show an economic trade-off associated with height. While taller build- ings are more expensive because they require additional structure and vertical circulation, anyvery given short square buildings footage are also (Figur expensivee 13). From because Figure they don’t13, we “share” see our the least cost expensive of the foundation config- urationand substructure consists of between three buildings multiple floors.of three Intuitively, stories each. it then The stands solution to reason with the that most the model ther- mallyseeks toefficiency find a balance envelope, between however, being consists uneconomically of one building short and with uneconomically nine stories. tall.

Project Costs

Number of Floors per Building 12345678910 1 $ 7,131,118 $ 7,680,027 $ 7,742,782 $ 8,021,408 $ 8,097,490 $ 8,289,912 $ 8,373,633 $ 8,459,104 2 $ 7,241,117 $ 7,411,627 $ 8,064,002 $ 8,204,608 $ 8,592,747 $ 8,727,376 $ 9,013,754 $ 9,234,836 $ 9,403,299 3 $ 7,388,832 $ 7,436,584 $ 7,692,136 $ 8,447,976 $ 8,666,434 $ 9,164,449 $ 9,379,655 4 $ 7,517,738 $ 7,632,052 $ 7,972,645 $ 8,831,950 $ 9,128,260 5 $ 7,646,644 $ 7,827,519 $ 8,253,155 $ 9,215,925 62,500 SF 62,500 6 $ 7,775,550 $ 8,022,987 $ 8,533,664 7 $ 7,904,456 $ 8,218,454 $ 8,814,173 Number of Buildings of Number 8 $ 8,033,361 $ 8,413,922 9 $ 8,162,267 $ 8,609,389 10 $ 8,291,173 $ 8,804,857

Number of Floors per Building 12345678910 1 $ 15,157,311 $ 15,663,105 $ 15,709,561 $ 16,014,051 $ 16,053,468 $ 16,157,617 2 $ 14,290,297 $ 15,585,278 $ 15,745,798 $ 16,420,476 $ 16,567,512 $ 16,987,589 $ 17,187,246 $ 17,396,412 3 $ 14,314,827 $ 14,570,806 $ 16,078,409 $ 16,334,286 $ 17,177,846 $ 17,426,383 $ 17,961,981 $ 18,313,374 $ 18,643,707 4 $ 14,510,295 $ 14,851,315 $ 16,571,540 $ 16,922,773 $ 17,934,854 $ 18,284,334 $ 18,936,374 $ 19,454,802 $ 19,874,002 5 $ 14,676,820 $ 14,705,762 $ 15,131,824 $ 17,064,671 $ 17,511,261 $ 18,692,406 $ 19,142,285 $ 19,908,201 $ 20,573,281

125,000 SF 125,000 6 $ 14,805,725 $ 14,901,229 $ 15,412,333 $ 17,557,802 $ 18,099,748 $ 19,449,958 $ 20,000,235 7 $ 14,934,631 $ 15,096,697 $ 15,692,843 $ 18,050,932 $ 18,688,236 $ 20,206,785 Number of Buildings of Number 8 $ 15,063,537 $ 15,292,164 $ 15,973,352 $ 18,544,063 $ 19,276,723 9 $ 15,192,443 $ 15,487,632 $ 16,253,861 $ 19,037,194 $ 19,865,211 10 $ 15,321,349 $ 15,683,099 $ 16,534,370 $ 19,530,325

Number of Floors per Building 12345678910 1 $ 30,949,025 $ 31,055,289 2 $ 30,293,471 $ 31,305,060 $ 31,396,317 $ 32,006,953 $ 32,082,803 $ 32,294,084 3 $ 28,299,621 $ 30,656,276 $ 30,881,959 $ 32,062,431 $ 32,254,728 $ 32,982,200 $ 33,212,756 $ 33,537,129 4 $ 28,580,130 $ 31,149,407 $ 31,470,446 $ 32,819,801 $ 33,112,219 $ 33,954,028 $ 34,350,360 $ 34,771,674 5 $ 28,434,187 $ 28,860,639 $ 31,642,537 $ 32,058,934 $ 33,576,809 $ 33,969,710 $ 34,927,565 $ 35,472,663 $ 36,010,469

250,000 SF 250,000 6 $ 28,629,654 $ 29,141,148 $ 32,135,668 $ 32,647,421 $ 34,334,543 $ 34,829,961 $ 35,902,813 $ 36,602,616 $ 37,266,264 7 $ 28,825,122 $ 29,421,657 $ 32,628,799 $ 33,235,909 $ 35,092,095 $ 35,687,452 $ 36,878,915 $ 37,736,394 $ 38,505,059 NumberBuildingsof 8 $ 29,020,589 $ 29,702,166 $ 33,121,930 $ 33,824,396 $ 35,848,558 $ 36,545,862 $ 37,851,598 $ 38,885,472 $ 39,726,854 9 $ 29,224,734 $ 29,216,057 $ 29,982,676 $ 33,615,061 $ 34,412,884 $ 36,605,566 $ 37,402,433 $ 38,828,555 $ 39,992,476 $ 40,969,899 10 $ 29,353,639 $ 29,411,524 $ 30,263,185 $ 34,108,192 $ 35,001,371 $ 37,363,662 $ 38,261,764 $ 39,795,253 $ 41,122,429

Number of Floors per Building 12345678910 1 2 $ 61,904,893 $ 62,117,422 3 $ 61,858,710 $ 61,939,460 $ 63,048,108 $ 63,042,496 $ 63,364,717 4 $ 60,593,853 $ 62,616,080 $ 62,797,871 $ 64,020,791 $ 64,172,449 $ 64,595,012 5 $ 60,826,332 $ 61,182,340 $ 63,373,632 $ 63,654,902 $ 64,994,328 $ 65,302,403 $ 65,833,807

500,000 SF 500,000 6 $ 56,627,302 $ 61,319,462 $ 61,770,828 $ 64,130,822 $ 64,514,693 $ 65,971,286 $ 66,432,356 $ 67,081,101 7 $ 56,907,811 $ 61,812,593 $ 62,359,315 $ 64,888,555 $ 65,371,264 $ 66,943,968 $ 67,569,959 $ 68,315,646 Number of Buildings of Number 8 $ 57,188,320 $ 62,305,724 $ 62,947,803 $ 65,645,563 $ 66,229,674 $ 67,914,941 $ 68,707,562 $ 69,550,191 9 $ 56,700,967 $ 57,468,830 $ 62,798,855 $ 63,536,290 $ 66,402,389 $ 67,088,545 $ 68,894,463 $ 69,822,216 $ 70,797,486 10 $ 56,896,434 $ 57,749,339 $ 63,291,986 $ 64,124,778 $ 67,159,578 $ 67,944,656 $ 69,862,016 $ 70,952,169 $ 72,027,781

Number of Floors Per Building 12345678910 1 2 3 4 $ 123,243,486 $ 123,624,494 5 $ 122,313,324 $ 124,348,169 $ 124,116,164 $ 124,568,689

1,000,000 SF 1,000,000 6 $ 122,828,969 $ 122,897,965 $ 125,022,756 $ 125,082,572 $ 125,647,724 7 $ 123,442,516 $ 123,595,949 $ 125,824,329 $ 125,846,703 $ 126,495,038 Number of Buildings of Number 8 $ 120,265,852 $ 123,889,411 $ 124,294,852 $ 126,617,351 $ 126,797,329 $ 127,519,113 9 $ 120,265,130 $ 120,741,751 $ 124,482,126 $ 124,784,863 $ 127,194,284 $ 127,736,480 $ 128,568,688 10 $ 120,661,233 $ 121,217,651 $ 125,074,115 $ 125,460,454 $ 127,963,106 $ 128,403,055 $ 129,289,663

Figure 11. CostCost by by Number of Buildings and Building Height. Between these two solutions is a third, ‘pareto’ optimal solution: two buildings of five floors. While this solution is not optimal for either variable, it is non-dominated in that improvement on one axis cannot be achieved without harming the other. The solu- tion, therefore, represents a fair compromise. Buildings 2021, 11, x FOR PEER REVIEW 24 of 30

The general rule that a larger number of shorter buildings is more economical while a smaller number of taller buildings is more thermally efficient holds true across the square footages considered. For any given square footage, there exists a compromise be- tween prioritizing cost and prioritizing a thermally efficient envelope. Generally, these compromise solutions exist between the high number of buildings dictated by cost and Buildings 2021, 11, 99 the low number of buildings dictated by thermal performance. Similarly, they suggest20 of 26a mediation of the short building heights that are most economically viable and the tall building heights that are most thermally efficient.

Thermal Loss Value

Number of Floors per Building 12345678910 1 3,924 3,827 3,838 3,902 3,997 4,111 4,238 4,375 2 4,774 4,581 4,656 4,838 5,075 5,341 5,628 5,927 6,235 3 6,355 5,259 5,238 5,485 5,839 6,247 6,686 4 6,668 5,744 5,895 6,313 6,840 5 6,982 6,229 6,552 7,142 62,500 SF 62,500 6 7,295 6,715 7,208 7 7,608 7,200 7,865 Number of Buildings of Number 8 7,921 7,685 9 8,235 8,170 10 8,548 8,655

Number of Floors per Building 12345678910 1 6,674 6,631 6,650 6,706 6,789 6,889 2 7,847 7,654 7,675 7,804 7,994 8,223 8,477 8,749 3 9,063 8,504 8,482 8,676 8,976 9,339 9,739 10,165 10,609 4 9,548 9,161 9,311 9,676 10,149 10,683 11,255 11,853 12,469 5 12,397 10,033 9,818 10,140 10,677 11,322 12,027 12,772 13,541

125,000 SF 125,000 6 12,710 10,518 10,475 10,969 11,678 12,494 13,372 7 13,024 11,003 11,132 11,798 12,679 13,667 Number of Buildings of Number 8 13,337 11,489 11,789 12,627 13,679 9 13,650 11,974 12,446 13,456 14,680 10 13,963 12,459 13,103 14,284

Number of Floors per Building 12345678910 1 11,889 11,918 2 13,349 13,263 13,299 13,413 13,577 13,778 3 15,037 14,478 14,349 14,435 14,644 14,929 15,266 15,638 4 15,694 15,307 15,350 15,608 15,988 16,445 16,954 17,498 5 17,641 16,351 16,136 16,351 16,780 17,333 17,962 18,642 19,358

250,000 SF 250,000 6 18,126 17,008 16,965 17,351 17,953 18,677 19,478 20,330 21,218 7 18,611 17,665 17,794 18,352 19,125 20,022 20,994 22,018 23,078 Number of Buildings of Number 8 19,096 18,322 18,623 19,353 20,298 21,366 22,511 23,707 24,938 9 24,481 19,581 18,979 19,451 20,354 21,471 22,710 24,027 25,395 26,798 10 24,794 20,066 19,636 20,280 21,354 22,643 24,055 25,543 27,083

Number of Floors per Building 12345678910 1 2 23,779 23,836 3 25,353 25,254 25,309 25,467 25,696 4 26,697 26,525 26,599 26,826 27,155 27,556 5 28,128 27,698 27,698 27,943 28,342 28,843 29,416

500,000 SF 500,000 6 30,074 28,957 28,699 28,870 29,288 29,858 30,531 31,276 7 30,731 29,786 29,699 30,043 30,632 31,375 32,219 33,136 Number of Buildings of Number 8 31,388 30,614 30,700 31,215 31,976 32,891 33,908 34,996 9 34,796 32,045 31,443 31,701 32,388 33,321 34,407 35,596 36,856 10 35,281 32,702 32,272 32,701 33,561 34,665 35,923 37,284 38,716

Number of Floors pre Building 123 4 5 6 7 8 9 10 1 2 3 4 47,557 47,672 5 49,164 49,102 49,245 49,532

1,000,000 SF 1,000,000 6 50,705 50,508 50,619 50,934 51,392 7 51,878 51,853 52,135 52,622 53,252 Number of Buildings of Number 8 53,394 53,050 53,197 53,651 54,310 55,112 9 55,427 54,395 54,223 54,542 55,168 55,998 56,972 10 56,256 55,396 55,395 55,886 56,684 57,686 58,832

FigureFigure 12. 12. ThermalThermal Loss Loss Value Value by Number of Buildings and Building Height.

While optimal costs were achieved with a high number of short buildings, optimal envelope thermal efficiency is achieved with a low number of taller structures. For example, for 250,000 square feet of complex floor area, the optimal envelope configuration is a one (1), nine-floor building. This contrasts with the three (3) three-story buildings that were optimal from a cost perspective. Once again, the conclusion of the model confirms the importance of compactness when considering envelope thermal efficiency. The model prefers small numbers of large buildings because these solutions result in the lowest surface-to-volume ratios, meaning Buildings 2021, 11, 99 21 of 26

they have the smallest amount of envelope on a per-unit basis. Decreasing the height of the buildings would increase the number of buildings, thus increasing envelope area per unit. The first group of solutions represents a theoretical 62,500 square foot complex. Such a complex might be constructed of a single three-story building or of multiple one-story buildings. The row of the table represents the number of buildings while the column represents the total height of each building. Of course, and designers are not permitted to consider only cost or only envelope performance. They must instead try simultaneously to balance these competing objectives within the project. If we plot all possible combinations by cost (on an X-Axis) and thermal loss value (on a Y-axis), we can compare solutions to find a compromise for any given square footage (Figure 13). From Figure 13, we see our least expensive configuration Buildings 2021, 11, x FOR PEER REVIEW 25 of 30 consists of three buildings of three stories each. The solution with the most thermally efficiency envelope, however, consists of one building with nine stories.

FigureFigure 13. 13. SolutionsSolutions for for 250,000 250,000 square square foot foot Comple Complexx by Cost and Thermal Loss Value. Between these two solutions is a third, ‘pareto’ optimal solution: two buildings of five 4. Discussion floors. While this solution is not optimal for either variable, it is non-dominated in that improvementWhen considering on one axis how cannot the four be achievedvariables withoutof width, harming number the of other.buildings, The building solution, floortherefore, height, represents and total a square fair compromise. footage affect cost and thermal loss value, we have observed the following:The general rule that a larger number of shorter buildings is more economical while •a smallerFor a given number height of taller and area, buildings a wider is morebuilding thermally corresponding efficient to holds a deeper true floor across plate the squarecan footages produce considered.less costly solutions For any and given a more square thermally footage, efficient there exists envelope. a compromise If given a betweenchoice prioritizing between selecting cost and a prioritizing building fifty a thermally feet wide efficient and a . seventy Generally, feet wide, these compromisedesigners solutions would do exist well between to opt for the the high latter; number of buildings dictated by cost and •the lowFor numbera given total of buildings complex dictatedarea, height, by thermaland width, performance. fewer large Similarly,buildings theyare both suggest less a mediationcostly and of more the short efficient building than heightsa greater that number are most of smaller economically buildings; viable and the tall •building For a heights given total that floor are most area thermally and width, efficient. shorter buildings are generally more econom- ical while mid-rise buildings have better environmental performance; 4. Discussion • For a given single-floor footprint area and with, two- and three-story buildings are generallyWhen considering the most economical how the four while variables taller buildings of width, have number the be ofst buildings, performing building enve- floorlopes; height, and total square footage affect cost and thermal loss value, we have observed •the following:When considering both cost and envelope holistically for a given square total project square footage, building multiple short building is the most economical while build- ing fewer taller buildings has the best envelope performance. A compromise can be found in building a medium number of mid-height buildings.

4.1. Regression Analysis For the analysis explained in Section 3 and the “bottom lines” listed above, certain expectations were necessitated. For example, to investigate optimal width, a given height and area had to be selected for variable control. It is possible that selection of different values for height and area could have unforeseen effects on building width. Therefore, to test the internal validity of this method, a series of regression analyses were conducted using the sum of least squares method. A series of 500 dimensionally viable solutions was populated using random values for total floor area (between 50,000 and 1,000,000 square feet), building height (between 1 and 10 stories), number of buildings (between 1 and 10 buildings), and width (between 50 and 70 feet). The performance of Buildings 2021, 11, 99 22 of 26

• For a given height and area, a wider building corresponding to a deeper floor plate can produce less costly solutions and a more thermally efficient envelope. If given a choice between selecting a building fifty feet wide and a building seventy feet wide, designers would do well to opt for the latter; • For a given total complex area, height, and width, fewer large buildings are both less costly and more efficient than a greater number of smaller buildings; • For a given total floor area and width, shorter buildings are generally more economical while mid-rise buildings have better environmental performance; • For a given single-floor footprint area and with, two- and three-story buildings are gen- erally the most economical while taller buildings have the best performing envelopes; • When considering both cost and envelope holistically for a given square total project square footage, building multiple short building is the most economical while building fewer taller buildings has the best envelope performance. A compromise can be found in building a medium number of mid-height buildings.

4.1. Regression Analysis For the analysis explained in Section3 and the “bottom lines” listed above, certain expectations were necessitated. For example, to investigate optimal width, a given height and area had to be selected for variable control. It is possible that selection of different values for height and area could have unforeseen effects on building width. Therefore, to test the internal validity of this method, a series of regression analyses were conducted using the sum of least squares method. A series of 500 dimensionally viable solutions was populated using random values for total floor area (between 50,000 and 1,000,000 square feet), building height (between 1 and 10 stories), number of buildings (between 1 and 10 buildings), and width (between 50 and 70 feet). The performance of these solutions was then evaluated on the basis of per-square-foot cost and per-square-foot envelope loss factor. For the first analysis, height, width, number of buildings, and total floor represented the dependent variables, while cost per square foot represented the independent variable. The resultant coefficients are found in Table8. All variables were statistically significant at a p = 0.05 threshold. The combined R-squared value of 0.738 suggested that approximately 74% of the variation in cost could be explained by these four independent variables. Regression coefficients are shown in Table8.

Table 8. Regression Coeffients for Cost Analysis.

Intendent Variable Coefficient Total Complex Area −2.407 × 10−5 Number of Buildings 1.684 Building Height in Stories 2.706 Width of Building −0.179

Because the units of measurement are not consistent across all variables (i.e., story height is measured by floor count, width is measured by linear feet), the magnitude of the coefficients are not directly comparable. What is significant is the sign (e.g., positive or negative) association of the variables. According to this analysis, building a greater amount of total square footage will result in lower per-unit-floor-area costs. Building a greater number of buildings, conversely, is associated with higher costs. Taller buildings are also found to be generally more expen- sive than shorter buildings. Wider buildings are suggested to be more economical than narrower buildings. These results are consistent with the observations in Section3 of this report, with one possible exception. The findings in Section 3.3 suggest that while shorter buildings are more economical than taller buildings generally, two- and three-story buildings can be Buildings 2021, 11, 99 23 of 26

more economical than their single-story counterparts for a given footprint (q.v. Table9 infra). This nuance is lost in linear regression.

Table 9. Regression Coefficients for Envelope Analysis.

Intendent Variable Coefficient Total Complex Area −2.407 × 10−5 Number of Buildings 1.684 Building Height in Stories 2.706 Width of Building −0.179

For the second analysis, height, width, number of buildings, and total floor represented the dependent variables, while envelope efficient per square foot floor area represented the independent variable. The resultant coefficients are found in Table9. Once again, all variables with statistically significant at a p = 0.05 threshold. An R-squared value of 0.759 suggested that approximately 76% of the variation in envelope performance could be explained by the four dependent variables. Once again, the magnitudes of the coefficients cannot be compared with one another or with the coefficients in the previous regression analysis due to the dissimilarity of their units. However, the magnitude of the coefficients suggests that, as total complex area rises, so too does envelope thermal performance. However, as the number of buildings rises, thermal performance worsens. Adding additional stories also appears to worsen environmental performance, while wider buildings are found to have better performance than narrower buildings. Once again, our findings are generally consistent with those enumerated in Section3 , with the possible exception of height. For a given total complex area, we found in Section 3.3 that environmental performance and height have a U-shaped relationship, with the shortest and tallest buildings having less desirable envelopes (q.v. Table8). We also found that taller buildings can have better envelopes as total complex square footages rises (q.v. Table9 ). Again, the nuance of this relationship is obfuscated by linear regression.

4.2. Relation to Existing Literature Generally, our research supports the ideas of compactness of form as the optimum way to improve envelope performance, with the model opting to generally build fewer build- ings and minimize overall envelope area. This is in line with our pre-study expectations, informed by Depecker [15], Pessenlehner [17], and Granadeiro [41]. In terms of floorplate width, Clark et al. suggested a distance from the interior wall of the core or corridor to the exterior wall of 20 to 30 feet within the context of high-rise residential buildings [33]. Within this low-to-midrise context, our analysis suggests that the upper end of that range is more appropriate from a cost and thermal performance standpoint. Because our model generally selected the widest floor plate available, it is possible that even deeper floorplates could be viable, if they can be planned in such a way to provide adequate light and space. Previous literature on building aspect ratio suggested an optimum aspect ratio of between 1.01 and 1.42 [27] or between 1 and 1.5 [21], depending on the study. Because our width was limited to a maximum of 70 feet, our model produced outcomes that had much higher aspect ratios than those previous studies. Generally, we found it preferable to have one 200-foot-long building over two 100-foot-long buildings. We expect that, if we allowed both width and length to vary more broadly, our results would be more in line with previous studies. In terms of optimum height, we found that taller buildings were viable from an energy perspective for projects with large total gross floor areas, but shorter buildings were more economically appropriate. This appears consistent with the findings of Drew et al., who also end up finding the optimal residential form somewhere in the middle of the density spectrum [19]. Buildings 2021, 11, 99 24 of 26

Considering both energy and cost, Capeluto et al. found that there existed a trade-off between the two factors of initial building cost and initial energy consumption [26]. Our findings would seem to confirm that this is also true within the context of the United States for some building variables (e.g., height). We find it to be less true for other building variables (e.g., building width), for which the aims of first cost and envelope performance were more closely aligned.

4.3. Limitations and Future Research These results suggest that it is possible to find a balance between economics and energy when considering residential multi-family buildings. There are some limitations to this work. First, only rectangular buildings were consid- ered. There are an infinite number of possible floor plate shapes, from circles to ellipses and entirely irregular shapes. Likewise, buildings need not be simple repeating floor plates. Shapes in section/elevation can take on much more complicated, even wedding-cake-like shapes. More research is necessary to understand how more complex forms are affected by the underlying variables in this exercise. Architectural design is also limited by a seemingly infinite number of interrelated demands on the designer. The sheer volume of these dependencies makes them excep- tionally difficult to quantify. What is presented here is not intended to be an exhaustive guide to design, but rather to suggest some general rules or best practices for a specific building type. For example, this study is predicated on the assumption that 1000 square feet in a 70’ wide floor plate will make for the same number of units as it would in a 40’ floor plate. Even putting aside the circulation efficiency issues discussed above, this may not necessarily be the case. An ergonomic one-bedroom solution may require only 750 square feet at a given depth while requiring 1000 square feet at another depth. More research is needed to understand how internal configuration of units can be more completely considered within the proposed formwork. Similarly, this exercise is intentionally devoid of a specific site and location. Real projects, conversely, are limited by their sites. More research is necessary to learn how such an optimization method would be modified by a constrained site. Likewise, it is likely that variable weather conditions and construction types associated with a specific region will have effects on solution outputs. A more complex model is needed to take into account specific locational effects for any single project. The results provided may not be generalizable to wider contexts, as typical con- struction assemblies and building costs would be expected to vary with country. While the International Building Code utilized is, by its nature, international, more research is necessary to investigate to what extent these findings are generalizable to a wider context. Even within the United States, costs can be averaged, but thermal performance will vary substantially by region. While the ASHRAE Climate Zone 5A values were used for the calculation of thermal loss factor, using the values for a different climate zone may produce different outcomes. More research is necessary to add climatic nuance to the evaluation of thermal performance. Finally, per square footage cost and thermal loss value are rough measuring sticks for economic and environmental viability. Economics are affected by more than cost, being modified by factors including sale/rent price, construction time-frame, and others. Simi- larly, building energy performance and climate impact should include such other factors as hourly energy consumption, transportation energy associated with certain densities, and water consumption (to name only a few). These limitations notwithstanding, the proposed method provides general guidance to designers seeking to configure multi-family housing developments. It is most useful in suggesting some “rules of thumb” for designers to use when evaluating potential massing solutions early in the schematic design process. It also lays a foundation for future, more nuanced research on building massing for specific sites and climates. What is Buildings 2021, 11, 99 25 of 26

more, the proposed method suggests balance between first cost and envelope performance, suggesting that, while a trade-off may exist between these two factors, the least expensive solution is not always the correct one. The method viably selects solutions that are best configured to treat the twin problems of housing affordability and climate change. This is important polemically because it encourages designers to think in terms of designing not only for the developers’ bottom line, but for buildings that quantitatively encourage economic, social, and environmental simultaneously.

Author Contributions: Conceptualization, G.M.; methodology, G.M. and B.D.; investigation, G.M. and B.D.; writing—original draft preparation, G.M.; writing—review and editing, G.M. and B.D. All authors have read and agreed to the published version of the manuscript. Funding: This research received no external funding. Institutional Review Board Statement: Not applicable. Informed Consent Statement: Not applicable. Data Availability Statement: The data presented in this study are available on request from the corresponding author. Conflicts of Interest: The authors declare no conflict of interest.

References 1. U.S. Census Bureau. Characteristics of New Housing. Available online: https://www.census.gov/construction/chars/ (accessed on 14 January 2021). 2. U.S. Census Bureau. Quick Facts: New York County (Manhattan Borough), New York; San Francisco County, California. Available online: https://www.census.gov/quickfacts/fact/table/newyorkcountymanhattanboroughnewyork,sanfranciscocountycalifornia/ EDU685219 (accessed on 14 January 2021). 3. Gabriel, S.; Painter, G. Why affordability matters. Reg. Sci. Urban Econ. 2020, 80, 103378. [CrossRef] 4. Wetzstein, S. The global urban housing affordability crisis. Urban Stud. 2017, 54, 3159–3177. [CrossRef] 5. Rohe, W.M. Tackling the Housing Affordability Crisis. Hous. Policy Debate 2017, 27, 490–494. [CrossRef] 6. U.S. Bureau of Labor Statistics. Consumer Price Index for All Urban Consumers: Renta of Primary Residences in US Cities. retrieved from FRED, Federal Reserve Bank of St. Louis. February 2021. Available online: https://fred.stlouisfed.org/series/ CUUR0000SEHA (accessed on 21 February 2021). 7. Federal Reserve of St. Louis. Is the Rent too High? Federal Reserve Bank of St. Louis: St. Louis, MO, USA, April 2019. Avail- able online: https://fredblog.stlouisfed.org/2019/04/the-climbing-cost-of-renting/?utm_source=series_page&utm_medium= related_content&utm_term=related_resources&utm_campaign=fredblog (accessed on 22 February 2021). 8. Lloyd, A. Home Prices are Rising Faster Than Wages in 80% of U.S. Markets; Housing Wire: Irving, TX, USA, 2019. 9. Core Logic. Marshall & Swift Valuation Service; Marshall & Swift/Boeckh: Los Angeles, CA, USA, 2020. 10. U.S. Bureau of Labor Statistics. Consumer Price Index Inflation Calculator. 2021. Available online: https://www.bls.gov/data/ inflation_calculator.htm (accessed on 22 February 2021). 11. LLNL. Estimated U.S. Energy Consumption in 2016: 97.3 Quads; Lawrence Livermore National Labs: Livermore, CA, USA, 2017. 12. EIA. More Than Half of Energy Use in Homes is for Heating and Air Conditioning; U.S. Energy Information Administration: Washington, DC, USA, 2020. Available online: https://www.eia.gov/energyexplained/use-of-energy/homes.php (accessed on 14 January 2021). 13. EIA. Residential Energy Consumption Survey Data Show Decreased Energy Consumption per Household; U.S. Energy Information Administration: Washington, DC, USA, 2012. Available online: https://www.eia.gov/todayinenergy/detail.php?id=6570 (accessed on 14 January 2021). 14. Qi, F.; Wang, Y. A new calculation method for shape coefficient of residential building using Google Earth. Energy Build. 2014, 76, 72–80. [CrossRef] 15. Depecker, P.; Menezo, C.; Virgone, J.; Lepers, S. Design of buildings shape and energetic consumption. Build. Environ. 2001, 36, 627–635. [CrossRef] 16. Danielski, I.; Froling, M.; Joelsson, A. The impact of shape factor on final energy demand in residential buildings in Nordic climates. In Proceedings of the World Renewable Energy Forum, WREF 2012, Including World Renewable Energy Congress XII and Colorado Renewable Energy Society (CRES) Annual Conference, Denver, CO, USA, 13–17 May 2012; pp. 4260–4264. 17. Pessenlehner, W.; Mahdavi, A. Building morphology, transparence, and energy performance. In Proceedings of the Eighth International IBPSA Conference, Eindhoven, The Netherlands, 11–14 August 2003; pp. 1025–1030. 18. Granadeiro, V.; Correia, J.R.; Leal, V.M.S.; Duarte, J.P. Envelope-related energy demand: A design indicator of energy performance for residential buildings in early design stages. Energy Build. 2013, 61, 215–223. [CrossRef] Buildings 2021, 11, 99 26 of 26

19. Drew, C.; Fernandez-Nova, K.; Fanning, K. The Environmental Impact of Tall vs. Small: A Comparative Study. Int. J. High. Rise Build. 2015, 4, 109–116. 20. Choi, Y.; Cho, S.H.; Kim, J.T. Energy consumption characteristics of high-rise apartment buildings according to building shape and mixed-use development. Energy Build. 2012, 46, 123–131. [CrossRef] 21. McKeen, P.; Fung, A. The Effect of Building Aspect Ratio on Energy Efficiency: A Case Study for Multi-Unit Residential Buildings in Canada. Buildings 2014, 4, 336–354. [CrossRef] 22. Savvides, A.; Vassiliades, C.; Michael, A.; Kalogirou, S. Siting and building-massing considerations for the urban integration of active solar energy systems. Renew. Energy 2019, 135, 963–974. [CrossRef] 23. Ndiaye, D. The impact of building massing on net-zero achievability for office buildings. Build. Simul. 2018, 11, 435–438. [CrossRef] 24. Chau, K.-W.; Wong, S.K.; Yau, Y.; Yeung, A.K.C. Determining Optimal Building Height. Urban Stud. 2007, 44, 591–607. [CrossRef] 25. Barr, J. The Economics of Skyscarper Construction in Manhattan: Past, Present, and Future. Int. J. High. Rise Build. 2016, 5, 137–144. [CrossRef] 26. Capeluto, I.G.; Yezioro, A.; Gat, D.; Shaviv, E. Energy, Economics, and Architecture. In Proceedings of the Eighting International IBPSA Conference, Eindhoven, The Netherlands, 11–14 August 2003. 27. Wang, W.; Zmeureanu, R.; Rivard, H. Applying multi-objective genetic algorithms in design optimization. Build. Environ. 2005, 40, 1512–1525. [CrossRef] 28. Fox, J. Why America’s New Apartment Buildings All Look the Same; Bloomberg Businessweek: New York, NY, USA, 2019. 29. Azoff, R. Multifamily Developers Turn to Wood-Frame Construction to Cut Costs; Multifamily Executive: Washington, DC, USA, 2009. 30. International Code Council. IBC: International Building Code 2015. Available online: https://codes.iccsafe.org/content/IBC201 (accessed on 21 February 2021). 31. Malone, T. 5-over-2 Podium Design. Structure Magazine. 2017. Available online: https://www.structuremag.org/?page_id=2714 (accessed on 21 February 2021). 32. International Code Council. Chicago Construction Codes Title 14B. 2019, volume Title 14B. Available online: https://codelibrary. amlegal.com/codes/chicago/latest/chicago_il/0-0-0-2579168 (accessed on 21 February 2021). 33. Clark, N.; Price, B.; British Council for Offices; Council on Tall Buildings and Urban Habitat (Eds.) Tall Buildings: A Strategic Design Guide, 2nd ed.; RIBA Publishing: Newcastle upon Tyne, UK, 2016. 34. U.S. Department of Housing and Urban Development. Fair Housing Act. Design Manual; Barrier Free Environments, Inc.: Raleigh, NC, USA, 1998. 35. Neufert, E.; Jones, V. Neufert Architects’ Data: Second (International) English Edition; BSP Professional Books: Oxford, UK, 1994. 36. The Gordian Group, Inc. RSMeans Data from Gordian; The Gordian Group, Inc.: Rockland, MA, USA, 2020. 37. United States Department of Justice. The Americans with Disabilities Act: Title II Technical Assistance Manual. Available online: https://www.ada.gov/taman2.html (accessed on 19 February 2021). 38. Grondzik, W.T.; Kwok, A.G. Mechanical and Electrical Equipment for Buildings, 12th ed.; Wiley: Hoboken, NJ, USA, 2015. 39. ASHRAE. ANSI/ASHRAE/IES Standard 90.1-2010 Energy Standards for Buildings Except Low-Rise Residential Buildings; American Society of Heating, Refrigerating, and Air Conditioning , Inc.: Atlanta, GA, USA, 2010. 40. Sachs, H.; Misuriello, H.; Kwatra, S. Advancing Eleavtor Efficiency; Report A1501; American Council for an Energy-Efficient Economy: Washington, DC, USA, 2015. 41. Granadeiro, V.; Duarte, J.P.; Correia, J.R.; Leal, V.M.S. Building envelope shape design in early stages of the design process: Integrating architectural design systems and energy simulation. Autom. Constr. 2013, 32, 196–209. [CrossRef]