Thermal Comfort
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Reference Guide
Indoor Air Quality Tools for Schools REFERENCE GUIDE Indoor Air Quality (IAQ) U.S. Environmental Protection Agency Indoor Environments Division, 6609J 1200 Pennsylvania Avenue, NW Washington, DC 20460 (202) 564-9370 www.epa.gov/iaq American Federation of Teachers 555 New Jersey Avenue, NW Washington, DC 20001 (202) 879-4400 www.aft.org Association of School Business Officials 11401 North Shore Drive Reston, VA 22090 (703) 478-0405 www.asbointl.org National Education Association 1201 16th Steet, NW Washington, DC 20036-3290 (202) 833-4000 www.nea.org National Parent Teachers Association 330 North Wabash Avenue, Suite 2100 Chicago, IL 60611-3690 (312) 670-6782 www.pta.org American Lung Association 1740 Broadway New York, NY 10019 (212) 315-8700 www.lungusa.org EPA 402/K-07/008 I January 2009 I www.epa.gov/iaq/schools Introduction � U nderstanding the importance of good basic measurement equipment, hiring indoor air quality (IAQ) in schools is the professional assistance, and codes and backbone of developing an effective IAQ regulations. There are numerous resources program. Poor IAQ can lead to a large available to schools through EPA and other variety of health problems and potentially organizations, many of which are listed in affect comfort, concentration, and staff/ Appendix L. Use the information in this student performance. In recognition of Guide to create the best possible learning tight school budgets, this guidance is environment for students and maintain a designed to present practical and often comfortable, healthy building for school low-cost actions you can take to identify occupants. and address existing or potential air quality Refer to A Framework for School problems. -
ANSI/ASHRAE Standard 55-2010 3 © American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc
© American Society of Heating, Refrigerating and Air-Conditioning Engineers, Inc. (www.ashrae.org). For personal use only. Additional reproduction, distribution, or transmission in either print or digital form is not permitted without ASHRAE’s prior written permission. 2.2 It is intended that all of the criteria in this standard be average person seated at rest. The surface area of an average applied together since comfort in the indoor environment is person is 1.8 m2 (19 ft2). complex and responds to the interaction of all of the factors that are addressed. metabolic rate (M): the rate of transformation of chemical energy into heat and mechanical work by metabolic activities 2.3 This standard specifies thermal environmental condi- within an organism, usually expressed in terms of unit area of tions acceptable for healthy adults at atmospheric pressure the total body surface. In this standard, metabolic rate is equivalent to altitudes up to 3000 m (10,000 ft) in indoor expressed in met units. spaces designed for human occupancy for periods not less than 15 minutes. naturally conditioned spaces, occupant controlled: those spaces where the thermal conditions of the space are regulated 2.4 This standard does not address such nonthermal envi- primarily by the opening and closing of windows by the occu- ronmental factors as air quality, acoustics, and illumination or pants. other physical, chemical, or biological space contaminants that may affect comfort or health. neutrality, thermal: the indoor thermal index value corre- sponding with a mean vote of neutral on the thermal sensation 3. DEFINITIONS scale. adaptive model: a model that relates indoor design tempera- percent dissatisfied (PD): percentage of people predicted to tures or acceptable temperature ranges to outdoor meteorolog- be dissatisfied due to local discomfort. -
A New Paradigm in Thermal Comfort for Occupant-Centric Environmental Control Joyce Kim1∗, Stefano Schiavon1, Gail Brager1
Personal comfort models – a new paradigm in thermal comfort for occupant-centric environmental control Joyce Kim1∗, Stefano Schiavon1, Gail Brager1 1 Center for the Built Environment, University of California, Berkeley, CA, USA ∗ Corresponding author: E-mail address: [email protected] Address: Center for the Built Environment (CBE) University of California, Berkeley 390 Wurster Hall #1839 Berkeley, CA 94720-1839 Abstract A personal comfort model is a new approach to thermal comfort modeling that predicts an individual’s thermal comfort response, instead of the average response of a large population. It leverages the Internet of Things and machine learning to learn individuals’ comfort requirements directly from the data collected in their everyday environment. Its results could be aggregated to predict comfort of a population. To provide guidance on future efforts in this emerging research area, this paper presents a unified framework for personal comfort models. We first define the problem by providing a brief discussion of existing thermal comfort models and their limitations for real-world applications, and then review the current state of research on personal comfort models including a summary of key advances and gaps. We then describe a modeling framework to establish fundamental concepts and methodologies for developing and evaluating personal comfort models, followed by a discussion of how such models can be integrated into indoor environmental controls. Lastly, we discuss the challenges and opportunities for applications of personal comfort models for building design, control, standards, and future research. Keywords: personal thermal comfort, data-driven modeling, machine learning, Internet of Things, occupant-centric environmental control, smart buildings 1. -
A Comprehensive Thermal Comfort Analysis of the Cooling Effect of The
sustainability Article A Comprehensive Thermal Comfort Analysis of the Cooling Effect of the Stand Fan Using Questionnaires and a Thermal Manikin Sun-Hye Mun y, Younghoon Kwak y, Yeonjung Kim and Jung-Ho Huh * Department of Architectural Engineering, University of Seoul, Seoul 02504, Korea; [email protected] (S.-H.M); [email protected] (Y.K.); [email protected] (Y.K.) * Correspondence: [email protected]; Tel.: +82-2-6490-2757 Contributed equally to this work. y Received: 14 August 2019; Accepted: 12 September 2019; Published: 17 September 2019 Abstract: In this study a quantitative analysis was performed on the effect on thermal comfort of the stand fan, a personal cooling device that creates local air currents. A total of 20 environmental conditions (indoor temperatures: 22, 24, 26, 28, and 30 ◦C; fan modes: off, low (L) mode, medium (M) mode, and high (H) mode) were analyzed using questionnaires on male and female subjects in their 20s and a thermal manikin test. The contents of the questionnaire consisted of items on thermal sensation, thermal comfort, thermal acceptability, and demands on changes to the air velocity. This step was accompanied by the thermal manikin test to analyze the convective heat transfer coefficient and cooling effect quantitatively by replicating the stand fan. Given that this study provides data on the cooling effect of the stand fan in quantitative values, it allows for a comparison of energy use with other cooling systems such as the air conditioner, and may be used as a primary data set for analysis of energy conservation rates. -
Thermal Comfort in a Naturally-Ventilated Educational Building
Thermal Comfort in a Naturally-Ventilated Educational Building David Mwale Ogoli Judson College, Elgin, IL ABSTRACT: A comprehensive study of thermal comfort in a naturally ventilated education building (88,000 ft2) in a Chicago suburb will be conducted with 120 student subjects in 2007. This paper discusses some recent trends in worldwide thermal comfort studies and presents a proposal of research for this building through a series of questionnaire tables. Two research methods used in thermal comfort studies are field studies and laboratory experiments in climate-chambers. The various elements that constitute a “comfortable” thermal environment include physical factors (ambient air temperature, mean radiant temperature, air movement and humidity), personal factors (activity and clothing), classifications (gender, age, education, etc.) and psychological expectations (knowledge, experience, psychological effect of visual warmth by, say, a fireplace). Comparisons are made using data gathered from Nairobi, Kenya. Keywords: Comfort, temperature, humidity and ventilation INTRODUCTION The “comfort zone” is an appropriate design goal for a deterministic mechanical system but analysis of many international field studies by researchers has questioned its relevance to passive solar buildings (Humphreys, 1976; Auliciems, 1978; Forwood, 1995; Baker and Standeven, 1996; Standeven and Baker, 1995; Milne, 1995;). Givoni (1998) revised his already authoritative and notable work on the building bio-climatic chart having recognized this new position. These revisions reflect a paradigm shift in thermal comfort for people relative to their thermal environment. The American Society of Heating, Ventilating and Air-conditioning Engineers (ASHRAE) has been discussing how people adapt to higher indoor temperatures in naturally ventilated buildings (Olesen, 2000). There is mounting evidence (Humphreys, 1996; Karyono, 2000) that confirms that thermal perceptions are affected by factors that are not recognized by current comfort standards. -
Thermal Comfort Metabolic Rate and Clothing Inference
Thermal Comfort Metabolic Rate and Clothing Inference Christos Timplalexis1, Asimina Dimara1, Stelios Krinidis1, and Dimitrios Tzovaras1 Centre for Research and Technology Hellas/ Information Technologies Institute 6th Km Charilaou-Thermis 57001, Thermi-Thessaloniki, Greece fctimplalexis, adimara, krinidis, [email protected] Abstract. This paper examines the implementation of an algorithm for the prediction of metabolic rate (M) and clothing insulation (Icl) values in indoor spaces. Thermal comfort is calculated according to Fanger's steady state model. In Fanger's approach, M and Icl are two parameters that have a strong impact on the calculation of thermal comfort. The es- timation of those parameters is usually done, utilizing tables that match certain activities with metabolic rate values and garments with insula- tion values that aggregate to a person's total clothing. In this work, M and Icl are predicted utilizing indoor temperature (T ), indoor humidity (H) and thermal comfort feedback provided by the building occupants. The training of the predictive model, required generating a set of train- ing data using values in pre-defined boundaries for each variable. The accuracy of the algorithm is showcased by experimental results. The promising capabilities that derive from the successful implementation of the proposed method are discussed in the conclusions. Keywords: thermal comfort · metabolic rate · clothing insulation. 1 Introduction In modern societies people spend almost 90% of their time indoors [6]. Stud- ies have shown that indoor thermal conditions may impact on the occupants' attendance and cognitive performance [10]. Consequently, indoor thermal con- ditions should be regulated so that they do not have any negative effect to the occupants' feeling or execution of activities. -
Objective Measurement of Heat Transport Through Clothing
International Journal of Engineering Research and Development e-ISSN: 2278-067X, p-ISSN: 2278-800X, www.ijerd.com Volume 2, Issue 12 (August 2012), PP. 43-47 Objective Measurement of Heat Transport through Clothing Devanand Uttam Department of Textile Engineering, Punjab Technical University, Giani Zail Singh Campus, Bathinda-151001(Punjab) India Abstract––Heat transport analysis of any solid or porous material is an important issue for textile, mechanical, chemical, production, aeronautical and metallurgical engineers. The maintenance of thermal balance is probably the most important physical comfort attribute of clothing and has occupied the attention of many textile research workers. Transmission of heat through a fabric occurs both by conduction through the fibre and the entrapped air and by radiation. Practical methods of test for thermal conductivity measure the total heat transmitted by both mechanism. An objective measure is one carried out with the aid of instruments that do not depend on the opinion of a human being. In this paper, the various instruments which are utilized for objective measurement of the heat transport properties of clothing; are discussed. Keywords–– Alambeta, Guarded hot plate, Heat transmission, Togmeter I. INTRODUCTION The heat transmission behavior of a fabric critically important for human survival and plays a very important role in maintaining thermo-physiological comfort [1]. Clothing is an important issue for general consumer, active athletes and for those who practice jogging, skiing, golf or other sports just for fitness in their time [2]. Many researches and industries are engaged to develop the functional active fabrics that are most suitable for the comfort point of view. -
Osta Van 0771671
Eindhoven University of Technology MASTER Thermal comfort in hospital wards a comparison between two indoor conditioning systems van Osta, M.P.A. Award date: 2017 Link to publication Disclaimer This document contains a student thesis (bachelor's or master's), as authored by a student at Eindhoven University of Technology. Student theses are made available in the TU/e repository upon obtaining the required degree. The grade received is not published on the document as presented in the repository. The required complexity or quality of research of student theses may vary by program, and the required minimum study period may vary in duration. General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain __________________________________________________ Thermal comfort in hospital wards A comparison between two indoor conditioning systems __________________________________________________ Mike van Osta student nr. 0771671 Building Physics and Services Eindhoven University of Technology Supervisors: prof. dr. H.S.M. (Helianthe) Kort dr. ir. M.G.L.C. (Marcel) Loomans dr. A.K. (Asit) Mishra ir. W. (Wim) Maassen PdEng Date: 26-01-2018 Master Thesis: 7SS37 II Summary Summary Health care facilities need to become more energy efficient in order to reach upcoming nearly zero energy requirements (nZEB). -
Factors Affecting Indoor Air Quality
Factors Affecting Indoor Air Quality The indoor environment in any building the categories that follow. The examples is a result of the interaction between the given for each category are not intended to site, climate, building system (original be a complete list. 2 design and later modifications in the Sources Outside Building structure and mechanical systems), con- struction techniques, contaminant sources Contaminated outdoor air (building materials and furnishings, n pollen, dust, fungal spores moisture, processes and activities within the n industrial pollutants building, and outdoor sources), and n general vehicle exhaust building occupants. Emissions from nearby sources The following four elements are involved n exhaust from vehicles on nearby roads Four elements— in the development of indoor air quality or in parking lots, or garages sources, the HVAC n loading docks problems: system, pollutant n odors from dumpsters Source: there is a source of contamination pathways, and or discomfort indoors, outdoors, or within n re-entrained (drawn back into the occupants—are the mechanical systems of the building. building) exhaust from the building itself or from neighboring buildings involved in the HVAC: the HVAC system is not able to n unsanitary debris near the outdoor air development of IAQ control existing air contaminants and ensure intake thermal comfort (temperature and humidity problems. conditions that are comfortable for most Soil gas occupants). n radon n leakage from underground fuel tanks Pathways: one or more pollutant pathways n contaminants from previous uses of the connect the pollutant source to the occu- site (e.g., landfills) pants and a driving force exists to move n pesticides pollutants along the pathway(s). -
Thermodynamic Analysis of Human Heat and Mass Transfer and Their Impact on Thermal Comfort
International Journal of Heat and Mass Transfer 48 (2005) 731–739 www.elsevier.com/locate/ijhmt Thermodynamic analysis of human heat and mass transfer and their impact on thermal comfort Matjaz Prek * Faculty of Mechanical Engineering, University of Ljubljana, Askerceva 6, SI-1000 Ljubljana, Slovenia Received 26 April 2004 Available online 6 November 2004 Abstract In this paper a thermodynamic analysis of human heat and mass transfer based on the 2nd law of thermodynamics in presented. For modelling purposes the two-node human thermal model was used. This model was improved in order to establish the exergy consumption within the human body as a consequence of heat and mass transfer and/or conver- sion. It is shown that the human bodyÕs exergy consumption in relation to selected human parameters exhibit a minimal value at certain combinations of environmental parameters. The expected thermal sensation, determined by the PMV* value, shows that there is a correlation between exergy consumption and thermal sensation. Thus, our analysis repre- sents an improvement in human thermal modelling and gives even more information about the environmental impact on expected human thermal sensation. Ó 2004 Elsevier Ltd. All rights reserved. Keywords: Exergy; Human body; Heat transfer; Mass transfer; Thermal comfort 1. Introduction more than 30 years. These models range from simple one-dimensional, steady-state simulations to complex, Human body acts as a heat engine and thermody- transient finite element models [1–5]. The main similarity namically could be considered as an open system. The of most models is the application of energy balance to a energy and mass for the human bodyÕs vital processes simulated human body (based on the 1st law of thermo- are taken from external sources (food, liquids) and then dynamics) and the use of energy exchange mechanisms. -
Comfort, Indoor Air Quality, and Energy Consumption in Low Energy Homes
Comfort, Indoor Air Quality, and Energy Consumption in Low Energy Homes P. Engelmann, K. Roth, and V. Tiefenbeck Fraunhofer Center for Sustainable Energy Systems January 2013 NOTICE This report was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor any agency thereof, nor any of their employees, subcontractors, or affiliated partners makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights.Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States government or any agency thereof.The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States government or any agency thereof. Available electronically at http://www.osti.gov/bridge Available for a processing fee to U.S. Department of Energy and its contractors, in paper, from: U.S. Department of Energy Office of Scientific and Technical Information P.O. Box 62 Oak Ridge, TN 37831-0062 phone: 865.576.8401 fax: 865.576.5728 email:mailto:[email protected] Available for sale to the public, in paper, from: U.S. Department of Commerce National Technical Information Service 5285 Port Royal Road Springfield, VA 22161 phone: 800.553.6847 fax: 703.605.6900 email: [email protected] online ordering: http://www.ntis.gov/ordering.htm Printed on paper containing at least 50% wastepaper, including 20% postconsumer waste Comfort, Indoor Air Quality, and Energy Consumption in Low Energy Homes Prepared for: The National Renewable Energy Laboratory On behalf of the U.S. -
Energy Efficiency and Thermal Comfort
BALANCING ENERGY EFFICIENCY AND THERMAL COMFORT The need for energy efficient building designs has increasingly gained acceptance by the public. The A/E industry has been developing methods to create more efficient buildings for decades, with more innovative designs and equipment available today with the aid of powerful computerized analysis and design tools. In the pursuit of efficiency, the designer needs to always consider the needs of the occupants first, because buildings are built to serve people. There are many forces promoting energy efficient designs, with code mandated building energy performance routinely driving this trend. The availability of green building codes for state or local agency adoption, such as International Green Construction Code (IGCC) and ASHRAE/USGBC/IESNA Standard 189.1, has made green building design the norm and not the exception now in 2017. The willingness of sustainability leaders to exceed minimum code performance, including LEED certified and Net Zero Energy building owners, will continue to pave the path for the A/E/C industry to newer practices. This article explores some modern HVAC system design considerations and their potential impact on building efficiency and occupant comfort. HOW IS EFFICIENCY IMPROVING? One simple path to achieve better efficiency is to utilize more efficient traditional HVAC equipment, whether they are rooftop packaged units or water cooled chilled water plants. The use of non-standard systems has also become more prevalent today. Not long ago, the use of systems such as radiant cooling, under floor HVAC and displacement ventilation systems, and even passive ventilation systems were generally considered exotic. While some are still novel today, they are past experimental and regarded to be effective and efficient IF designed properly for the right application.