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Simulation and evaluation of Building Information Modeling in a real pilot site

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  • Eguaras-Martínez, María
  • Vidaurre-Arbizu, Marina
  • Martín-Gómez, César

Abstract

The current methods of building energy simulation that designers and engineers (D&E) use in order to find the energy performance of a building do not take into account the real behavior of the people who will use the building. The main aim of this paper is to show how by merely including the real behavior of people in building simulations there may be differences of up to 30%, through the study of a real pilot site simulation with existing software. These data confirm the possibilities of energy and money saving that energy simulation programs bring about when they include schedules of true use of the building (BIM).

Suggested Citation

  • Eguaras-Martínez, María & Vidaurre-Arbizu, Marina & Martín-Gómez, César, 2014. "Simulation and evaluation of Building Information Modeling in a real pilot site," Applied Energy, Elsevier, vol. 114(C), pages 475-484.
    • Handle: RePEc:eee:appene:v:114:y:2014:i:c:p:475-484
    DOI: 10.1016/j.apenergy.2013.09.047
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    1. Kelly Kissock, J. & Eger, Carl, 2008. "Measuring industrial energy savings," Applied Energy, Elsevier, vol. 85(5), pages 347-361, May.
    2. Martin, Paul K. & O'Callaghan, Paul & Probert, Douglas, 1992. "Environmental auditing: Estimating and reducing corporate greenhouse-gas emissions using monitoring and targeting software systems," Applied Energy, Elsevier, vol. 42(4), pages 269-288.
    3. Kravanja, Zdravko & Čuček, Lidija, 2013. "Multi-objective optimisation for generating sustainable solutions considering total effects on the environment," Applied Energy, Elsevier, vol. 101(C), pages 67-80.
    4. Hong, Taehoon & Koo, Choongwan & Kwak, Taehyun, 2013. "Framework for the implementation of a new renewable energy system in an educational facility," Applied Energy, Elsevier, vol. 103(C), pages 539-551.
    5. Chung, William, 2011. "Review of building energy-use performance benchmarking methodologies," Applied Energy, Elsevier, vol. 88(5), pages 1470-1479, May.
    6. Klemeš, Jiří Jaromír & Kravanja, Zdravko & Varbanov, Petar Sabev & Lam, Hon Loong, 2013. "Advanced multimedia engineering education in energy, process integration and optimisation," Applied Energy, Elsevier, vol. 101(C), pages 33-40.
    7. Marinakis, Vangelis & Doukas, Haris & Karakosta, Charikleia & Psarras, John, 2013. "An integrated system for buildings’ energy-efficient automation: Application in the tertiary sector," Applied Energy, Elsevier, vol. 101(C), pages 6-14.
    8. Connolly, D. & Lund, H. & Mathiesen, B.V. & Leahy, M., 2010. "A review of computer tools for analysing the integration of renewable energy into various energy systems," Applied Energy, Elsevier, vol. 87(4), pages 1059-1082, April.
    9. Duić, Neven & Guzović, Zvonimir & Kafarov, Vyatcheslav & Klemeš, Jiří Jaromír & Mathiessen, Brian vad & Yan, Jinyue, 2013. "Sustainable development of energy, water and environment systems," Applied Energy, Elsevier, vol. 101(C), pages 3-5.
    10. Petersen, Steffen & Svendsen, Svend, 2011. "Method for simulating predictive control of building systems operation in the early stages of building design," Applied Energy, Elsevier, vol. 88(12), pages 4597-4606.
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