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Smart Data Collection May 10, 2010
PROJECT SUMMARY The mission of the Smart Energy Data Collection project is to begin integrating advanced data collection and trend tracking technologies into the RIT campus because the resulting reduction of energy consumption and financial costs will allow RIT to become a leader in sustainability.
The Smart Data Collection Project is the first data collection based project to come out of the new Novel Smart Building Systems roadmap, specifically focusing on collecting electric and thermal energy usage data. The other first phase projects are; Smart Data Display, Black Box 1st Generation, Smart Room Scheduling and Smart Lighting Systems. Currently, RIT uses several different systems to perform, building control, environmental monitoring, security management, and energy usage record keeping. The current automated systems work with minimal cross-talk to control the RIT campus HVAC systems and record electric consumption. The data needed for energy analysis and control are considerably different from the data needed to control HVAC systems.
The main goals of this roadmap are: To gather relevant energy data from each of these systems into one centralized secure location for usage in trending, analysis, recording and display. Identify “missing” data points and list these. Since the RIT system is intended to monitor and control HVAC it lacks much of the data needed for energy analysis and control. Design a data base into which the relevant energy data are placed. Design analysis algorithms to analyze trends and create energy reports. Review literature to identify current technology in this field. Create building model(s) to use as a benchmark to identify “out of spec” operation.
ADMINISTRATIVE INFORMATION: Project Name: Smart Data Collection Faculty: Project Number: Industry Guide: Project Track: Systems and Controls Project Customer: RIT Facilities Management Services Project Family: Novel Smart Building Systems Project Sponsor: Lenel Systems International Parent Roadmap: Project Budget: Planning Term: 20093 Start Term: 20101 End Term: 20102
PROJECT CONTEXT: This project is intended to introduce the concept of building data system collection and monitoring in real time to MSD students. There is a real need on the RIT campus for a system to collect data that integrates many building control systems together and monitors the energy usage of the buildings. By providing a system to collect and analyze the power consumption data through an open source portal, this project team will be starting down this path. To better reduce energy consumption FMS needs to know how much energy each building is using and track trends in this data over time. This project is only one roadmap in the larger Novel Smart Building Systems Roadmap, focusing primarily on data collection and analysis.
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PROJECT HOUSE OF QUALITY: The House of Quality is a method to relate Engineering Metrics developed by the DPM team to Customer Requirements extracted from stakeholder interviews. Each box is labeled with a ranking system (-,1,3,9) to indicate how strongly the Engineering Metric relates to the Customer Requirement. The following House of Quality is a small part of the much larger House of Quality that was developed for the project family.
CUSTOMER NEEDS ASSESSMENT: The Customer Needs Assessment again looks at the importance of the customer needs developed from stakeholder interviews to identify areas where improvement is most needed. These needs have been selected from the larger Customer Needs Assessment for the project family because of their close association with this project.
Need Number/ Name Stakeholders Importance Description Measure of Effectiveness CN 2- Destler, FMS, Xerox, Meets payback period, life- Smart buildings must meet Financial National Grid, NYSERDA, 9 cycle cost, and installation financial criteria of customers Needs Syracuse COE, Students costs of customer FMS, Xerox, National Grid, New smart building systems are Installation time and costs, CN 3- Systems Students, NYSERDA, 3 easily integrated to lower costs and total # of systems under Integration Syracuse COE maximize flexibility central control CN 7- Smart building technologies should Destler FMS, Xerox, Proper calibration of sensors Performance 3 be able to track and present usage Students, Syracuse COE and measuring devices Tracking data of specific systems Page 2 of 6 Smart Data Collection May 10, 2010
ENGINEERING SPECIFICATIONS: The following engineering specifications have been derived from the customer needs and suggest engineering units to measure the progress of the team, and determine how well customer needs are being met. A small subset of the total Engineering Specifications are shown here, only the ones that directly influence this project.
Engineering Derives from Relative Description Measure of Performance Engineering Marginal Ideal Value Validation Spec. Customer Importance Units Value Method Needs ES2 CN1, CN3, 3 Climate sensors have a specific number The number of protocols Number of CN4 of programming protocols to that need to be protocols successfully integrate into a single programmed. control system. ES4 CN1, CN3, 3 Occupancy sensors have a specific The number of protocols Number of CN4 number of programming protocols to that need to be protocols successfully integrate into a single programmed. control system. ES7 CN1 3 HVAC sensors can adjust temperature Accuracy of adjusted °F of each room and building temperature compared to the commanded temperature ES8 CN1, CN3, 3 HVAC sensors have a specific number The number of protocols Number of CN4 of programming protocols to that need to be protocols successfully integrate into a single programmed. control system. ES38 CN2, CN3 3 Number of discrete signals from sensors Number of discrete signals # that can be transmitted through communications network ES43 CN1, CN5, 3 Number of variables stored in computer Number of variables output # CN8, CN9 program such as sensor data, reference values, control gains etc., which the user can see ES53 CN1, CN5, 3 Length of time control unit stores data Period of trend monitoring weeks CN7 that could reveal particular usage or performance trends
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PROJECT INTERFACES: The Smart Data Collection project is part of the first generation of projects from the Novel Smart Building family. The other first generation projects are; Smart Data Display, Black Box 1st Generation, Smart Room Scheduling and Smart Lighting Systems. The Novel Smart Building family contains six top level engineering metric categories; sensors, user interface, control system, hardware, communication and data collection. Each first generation project is focusing on a few of these metrics, but the 5 projects overall will cover all of the engineering metrics at least once. This project will have to closely interface with the Smart Data Display Project since it will need the data you are collecting and sorting to display around campus. In addition to this current project, the Smart Data Collection project will have to closely interface with the FMS Power Logic system since this is where the data will be collected from. In the future this project will need to interface with the Black Box 1st Generation project to ensure that the data it is transmitting can be easily read and recorded by the collection system. As each phase of the roadmap passes more projects will be integrated together to achieve the final goal of an overall smart building system.
STAFFING REQUIREMENTS: Position Title Position Description The Smart Data Collection project is looking for a computer engineer with a desire to work with engineers from the mechanical, electrical and software disciplines. Your role in the project will be to work closely with the software engineer to develop the interfaces necessary to securely access the Power Logic system and extract energy Computer Engineer usage data to an open storage location. Positions to be Due to the systems integration aspect of this project, this position should be filled by Filled: 1 an individual interested in this field. An individual comfortable working with programming and potentially networking is recommended as well. Relevant Coursework: Applied Programming, Data and Computer Communications, Software Engineering, Intro to Digital Systems The Smart Data Collection project is looking for a mechanical engineer with a desire to work with engineers from the computer, electrical and software disciplines. Your role in the project will be to work closely with the electrical engineer to determine the Mechanical necessary data from the Power Logic system necessary to do energy analysis. Also, Engineer Positions design thermal and energy analysis algorithms required to meet the project goals. to be Filled: 2 Additionally because of the energy savings aspect of this project an individual in the Energy and the Environment Option is recommended. Relevant Coursework: Thermodynamics, HVAC, Electrical Engineering, Energy and the Environment Option courses The Smart Data Collection project is looking for an electrical engineer with a desire to work with engineers from the computer, mechanical and software disciplines. Your role in the project will be to work closely with the mechanical engineer to develop the methods to sort the data from the Power Logic system and determine how to accurately Electrical Engineer and appropriately track trends in the data. Positions to be Due to the communication complexities of this project, this position should be filled Filled: 1 with an individual well versed in electronic communication and preferably in the Computer Engineering Option. Additionally the individual should have a rudimentary understanding of power systems and be interested in energy savings. Relevant Coursework: Communication Systems, Engineering Statistics, Computer Engineering Option courses Software Engineer The Smart Data Collection project is looking for a software engineer with a desire to Positions to be work with engineers from the computer, mechanical and electrical disciplines. Your
Page 4 of 6 Smart Data Collection May 10, 2010 role in the project will be to work closely with the computer engineer to develop the software necessary to securely access the Power Logic system and extract energy usage data to an open storage location. This project will require an open source software package to move information from Filled: 1 Power Logic to a more accessible location. This major requirement will require an individual interested in programming and communication across different systems. Additionally a general interest in energy conservation is recommended. Relevant Coursework: Software Engineering, Introduction to Computer Science Theory, Distributed Software Systems, Real-Time and Embedded Systems
PROJECT CONSTRAINTS: The team will be expected to carry out the vast majority of their interactions with the Team Guide. The sponsor and primary customer (Lenel) will be available for a series of meetings during the course of the project, and will meet with a group of teams during the beginning of MSD1 to lay out common goals, objectives, and philosophies for the sequence of projects. ANSI/ASHRAE Standard 135-2008, BACnet - A Data Communication Protocol for Building Automation and Control Networks This team will be required to keep track of all expenses incurred with their project. This team will be required to follow departmental purchasing procedures. MSD teams will have a total of 22 weeks to perform all research, design, manufacturing, and evaluation. Each team in this roadmap should work with careful consideration of the societal impact of their project, as improved public awareness of smart buildings is a primary goal. Each team in this roadmap is expected to demonstrate the value and outcome of their project at the annual Imagine RIT festival in the spring. This family of projects should promote and enhance multi-disciplinary and peer to peer education at RIT. Every member of every team is expected to comply with Institute Policies, including the Policy on Academic Honesty, and the Policy on Academic Accommodations. Each team in this roadmap shall define and adhere to team values and norms. All work to be completed by students in this track is expected to be released to the public domain. Students, Faculty, Staff, and other participants in the project will be expected to release rights to their designs, documents, drawings, etc., to the public domain, so that others may freely build upon the results and findings without constraint. Students, Faculty, and Staff associated with the project are encouraged to publish findings, data, and results openly. Students, Faculty, and Staff associated with the project are expected to respect the intellectual property of others, including copyright and patent rights. Information furnished by a team sponsor or other outside company, which would not otherwise be made public, must be treated as proprietary except with permission from that company.
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REQUIRED FACULTY / ENVIRONMENT / EQUIPMENT:
Resource Available Category Source Description (mark with X)
Faculty ME/EE/CE/SE Faculty able to answer programming and communication questions. X
MSD students will need an area to maintain supplies as well as test Environment RIT X developed software.
Equipment RIT/ITS Server space and computing resources to store and process data X
FMS – Rich Rich Stein will assist students in accessing the electricity monitoring Other X Stein usage data for collection, processing and eventual display
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