Efficient creation of building performance simulators using automatic code generation |
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| Affiliation: | 1. State Key Laboratory of Ocean Engineering, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China;2. Shanghai Key Laboratory for Digital Maintenance of Buildings and Infrastructure, Shanghai, 200240, China;1. Department of Architecture and Design, Maroun Semaan Faculty of Engineering and Architecture (MSFEA), American University of Beirut, Beirut, Lebanon;2. Department of Mechanical Engineering, Maroun Semaan Faculty of Engineering and Architecture (MSFEA), American University of Beirut, Beirut, Lebanon;1. Emerging Markets Research Centre (EMaRC), School of Management, Swansea University, Bay Campus, Fabian Bay, Swansea SA1 8EN, Wales, UK;2. Department of Management, Symbiosis Institute of Business Management, Pune & Symbiosis International (Deemed University), Pune, Maharashtra, India;3. Emerging Markets Research Centre (EMaRC), School of Management, Swansea University, Bay Campus, UK;4. School of Artificial Intelligence, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, India;5. Department of Management Studies, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, India;6. Department of Management Information Systems, Faculty of Economics and Administration, King Abdulaziz University, Jeddah, Saudi Arabia;7. Information Systems, International Management Institute New Delhi, Qutab Institutional Area, New Delhi, India;8. School of Business, University of Wollongong, Wollongong, Australia;9. Department of Management, University of Bergamo, Italy;10. Director of Faith for Earth, United Nations Environment Programme, USA;11. Montpellier Business School (MBS), Montpellier, France;12. Professor (Research Affiliate), Systems and Information, The University of Sydney Business School, Honorary Professor, Systems and Information, Sydney Institute for Infectious Diseases, Australia;13. University of Liechtenstein, Vaduz, Liechtenstein;14. Department of Digitalization, Copenhagen Business School, Denmark;15. Department of Information Systems, City University of Hong Kong, Hong Kong;p. Indian Institute of Management Bangalore, India;q. Liverpool Business School, Liverpool John Moores University, UK;r. Head of Information Management, the Centre for Digital Built Britain, University of Cambridge, UK;s. College of Business, California State University Monterey Bay, USA;t. Department of Information Technology & Decision Sciences, Old Dominion University, Norfolk, USA;u. College of Commerce & Graduate School of Business Administration, Nihon University, Tokyo, Japan;v. University of Turku, Turku School of Economics, Turku, Finland;w. Director, Indian Institute of Management Nagpur, India;x. School for the Future of Innovation in Society & School of Computing and Augmented Intelligence, Arizona State University, Tempe, USA;y. BI Norwegian Business School, 0442 Oslo, Norway;z. Royal Holloway University of London, UK and NTNU, Norway;11. Faculty of Management and Business, Tampere University, Finland;12. MIS Department, Faculty of Business Administration, Universite Laval, Canada;13. Symbiosis Institute of Business Management, Pune, India;14. Symbiosis International (Deemed University), Pune, India;15. College of Business and Economics, Qatar University, Doha, Qatar;16. Nantes University, LEMNA, and SKEMA Business School, France;17. McIntire School of Commerce, University of Virginia, USA;18. Nelson Mandela University, Port Elizabeth, South Africa;19. University of South-Eastern Norway and Kristiania University College Norway, Norway;110. Data Scientist (Cognitive computing and Advanced Analytics), IBM India Pvt. Ltd, India;111. Full Professor (Analytics and Operations Department) @ NUS Business School, Singapore;112. Director, National Institute of Industrial Engineering (NITIE), Mumbai, India;113. Department of Industrial and Systems Engineering, Indian Institute of Technology Kharagpur, India;114. Department of Organization, Copenhagen Business School, Denmark;115. Global Center for Digital Business Transformation, IMD Business School, Lausanne, Switzerland;1. Department of Natural Resource Management, Debre-Berhan University, Ethiopia;2. Center for Environmental Science, Addis Ababa University, Ethiopia;1. Department of Mechanical and Mechatronics Engineering, The University of Auckland, Auckland, New Zealand;2. Institute of Automation and Information Systems, Technical University of Munich, Munich, Germany;3. Department of Production Engineering, KTH Royal Institute of Technology, Stockholm, Sweden |
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| Abstract: | Building performance simulation environments are very complex software systems and the result of many person years of development and testing. The instantiation of a specific building requires additional work, depending on the quality of the user interface. We will show that with today’s software engineering environments, the development time can be drastically reduced. Simulators for specific applications can be created in a few weeks and discarded after use. A prerequisite for our development method is the partitioning of the building and its installed systems into simple components that compute and interact at run-time autonomously, as in the real world. In contrast, classical building performance simulators are typically based on global systems of differential equations that model the physical reality and are numerically solved at run-time. Our approach is based on object-oriented modeling. All effects are modeled dynamically and are executed in real-time. New physical effects can be easily integrated. As calculations are triggered by value changes, very short real-time responses are achieved if necessary. Also, fast and accurate responses to external events can be guaranteed. These features are necessary for real-time tests of building automation systems. We will present data showing that our approach results in realistic simulations and show limits of real-time computations. |
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