Advances in Energy Research

  • 제5권4호
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  • Pages.321-339
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  • 2017
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  • 2287-6316(pISSN)
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  • 2287-6324(eISSN)
테크노프레스 (Techno-Press)
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BEPAT: A platform for building energy assessment in energy smart homes and design optimization

  • Kamel, Ehsan (Department of Energy Management, New York Institute of Technology) ;
  • Memari, Ali M. (Department of Architectural Engineering and Department of Civil and Environmental Engineering, Penn State University)
  • 투고 : 2018.02.15
  • 심사 : 2018.10.30
  • 발행 : 2017.12.25
⟨ 이전 논문 다음 논문 ⟩

초록

Energy simulation tools can provide information on the amount of heat transfer through building envelope components, which are considered the main sources of heat loss in buildings. Therefore, it is important to improve the quality of outputs from energy simulation tools and also the process of obtaining them. In this paper, a new Building Energy Performance Assessment Tool (BEPAT) is introduced, which provides users with granular data related to heat transfer through every single wall, window, door, roof, and floor in a building and automatically saves all the related data in text files. This information can be used to identify the envelope components for thermal improvement through energy retrofit or during the design phase. The generated data can also be adopted in the design of energy smart homes, building design tools, and energy retrofit tools as a supplementary dataset. BEPAT is developed by modifying EnergyPlus source code as the energy simulation engine using C++, which only requires Input Data File (IDF) and weather file to perform the energy simulation and automatically provide detailed output. To validate the BEPAT results, a computer model is developed in Revit for use in BEPAT. Validating BEPAT's output with EnergyPlus "advanced output" shows a difference of less than 2% and thus establishing the capability of this tool to facilitate the provision of detailed output on the quantity of heat transfer through walls, fenestrations, roofs, and floors.

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참고문헌

  1. Alam, M., Zou, P.X.W., Sanjayan, J., Stewart, R., Sahin, O., Bertone, E. and Wilson, J. (2016), "Guidelines for building energy efficiency retrofitting", Proceedings of the IPWEA 2016 Sustainability in Public Works Conference, Melbourne, Australia, August
  2. AlFaris, F., Juaidi, A. and Manzano-Agugliaro, F. (2016), "Energy retrofit strategies for housing sector in the arid climate", Energy Build., 131, 158-171. https://doi.org/10.1016/j.enbuild.2016.09.016
  3. Aman, S., Simmhan, Y. and Prasanna, V. (2013), "Energy management systems: State of the art and emerging trends", IEEE Commun. Mag., 51(1), 114-119. https://doi.org/10.1109/MCOM.2013.6400447
  4. Ataei, A. and Dehghani, M.J. (2016), "Toward residential building energy conservation through the Trombe wall and ammonia ground source heat pump retrofit options, applying eQuest model", Adv. Energy Res., 4(2), 107-120. https://doi.org/10.12989/eri.2016.4.2.107
  5. Bazjanac, V. (2008), "IFC BIM-based methodology for semi-automated building energy performance simulation", Proceedings of the 25th International Conference on Information Technology in Construction, Santiago, Chile, July.
  6. Bianco, M. and Wiehagen, J. (2016). Using Retrofit Nail Base Panels to Expand the Market for Wall Upgrades, No. NREL/SR-5500-65183; DOE/GO-102016-4787, National Renewable Energy Lab.(NREL), U.S. Department of Energy's Building America Program, Denver, Colorado, U.S.A.
  7. Carlini, M., Allegrini, E., Zilli, D. and Castellucci, S. (2014), "Simulating heat transfers through the building envelope: A useful tool in the economical assessment", Energy Proc., 45, 395-404. https://doi.org/10.1016/j.egypro.2014.01.043
  8. Chang, R., Hayter, S., Hotchkiss, E., Pless, S., Sielcken, J. and Smith-Larney, C. (2014), Aspinall Courthouse: GSA's Historic Preservation and Net-Zero Renovation Case Study, No. DOE/GO-102014-4462. National Renewable Energy Lab (NREL), Golden, Colorado, U.S.A.
  9. Crawley, D.B., Hand, J.W., Kummert, M. and Griffith, B.T. (2008), "Contrasting the capabilities of building energy performance simulation programs", Build. Environ., 43(4), 661-673. https://doi.org/10.1016/j.buildenv.2006.10.027
  10. Denis, D. (2014), "Bottom-up modelling of energy demand and technical energy savings potential in the Irish residential sector", Ph.D. Thesis, National University of Ireland, Cork, Ireland.
  11. Dimitriou, V., Firth, S., Hassan, T. and Fouchal, F. (2016), "BIM enabled building energy modelling:development and verification of a GBXML to IDF conversion method", Proceedings of the 3rd IBPSAEngland Conference BSO 2016, Newcastle, U.K., September.
  12. EnergyPlus. (2017), U.S. Department of Energy's (DOE) Building Technologies Office (BTO), .
  13. GitHub. (2017), NREL/EnergyPlus, .
  14. Granadeiro, V., Correia, J.R., Leal, V.M. and Duarte, J.P. (2013), "Envelope-related energy demand: A design indicator of energy performance for residential buildings in early design stages", Energy Build., 61, 215-223. https://doi.org/10.1016/j.enbuild.2013.02.018
  15. Granadeiro, V., Duarte, J.P., Correia, J.R. and Leal, V.M. (2013), "Building envelope shape design in early stages of the design process: Integrating architectural design systems and energy simulation", Autom. Construct., 32, 196-209. https://doi.org/10.1016/j.autcon.2012.12.003
  16. Guzman Garcia, E. and Zhu, Z. (2015), "Interoperability from building design to building energy modeling", J. Build. Eng., 1, 33-41. https://doi.org/10.1016/j.jobe.2015.03.001
  17. Hakkinen, T., Ala-Juusela, M. and Shemeikka, J. (2016), "Usability of energy performance assessment tools for different usepurposes with the focus on refurbishment projects", Energy Build., 127, 217-228. https://doi.org/10.1016/j.enbuild.2016.05.062
  18. Helal, S., Mann, W., El-Zabadani, H., King, J., Kaddoura, Y. and Jansen, E. (2005), "The gator tech smart house: A programmable pervasive space", IEEE Comput. Soc., 38(3), 50-60. https://doi.org/10.1109/MC.2005.107
  19. Jahn, M., Jentsch, M., Prause, C., Pramudianto, F., Al-Akkad, A. and Reiners, R. (2010), "The energy aware smart home", Proceedings of the 5th International Conference on Future Information Technology, Busan, South Korea, May.
  20. Kamel, E. and Memari, A. (2018), "Automated building energy modeling and assessment tool (ABEMAT)", Energy, 147, 15-24. https://doi.org/10.1016/j.energy.2018.01.023
  21. Kim, J.J. (2014), "Energy self-sufficiency of office buildings in four Asian cities", Adv. Energy Res., 2(1), 11-20. https://doi.org/10.12989/eri.2014.2.1.011
  22. Kim, W., Lee, S. and Hwang, J. (2011), "Real-time energy monitoring and controlling system based on ZigBee sensor networks", Procedia Comput. Sci., 5, 794-797. https://doi.org/10.1016/j.procs.2011.07.108
  23. Kosny, J. and Kossecka, E. (2002), "Multi-dimensional heat transfer through complex building envelope assemblies in hourly energy simulation programs", Energy Build., 34(5), 445-454. https://doi.org/10.1016/S0378-7788(01)00122-0
  24. LaMonica, M. (2013), Nest Thermostat Slays Peak Power, .
  25. Le, Q., Nguyen, H. and Barnett, T. (2012), "Smart homes for older people: Positive aging in a digital world", Future Internet, 4(2), 607-617. https://doi.org/10.3390/fi4020607
  26. Lin, Y.H., Tsai, K.T., Lin, M.D. and Yang, M.D. (2016), "Design optimization of office building envelope configurations for energy conservation", Appl. Energy, 171, 336-346. https://doi.org/10.1016/j.apenergy.2016.03.018
  27. Lobacco, G., Carlucci, S. and Lofstrom, E. (2016), "A review of systems and technologies for smart homes and smart grids", Energies, 9(5), 1-33.
  28. Maile, T., Fischer, M. and Bazjanac, V. (2007), Building Energy Performance Simulation Tools-A Life-Cycle and Interoperable Perspective, Center for Integrated Facility Engineering (CIFE), Stanford University, Stanford, California, U.S.A.
  29. New Building Institutes (2012), Beardmore Building Case Study, .
  30. NREL (2011a), Advanced Energy Retrofit Guide, Practical Ways to Improve Energy Performance, Office Buildings, Pacific Northwest National Laboratory for U.S. Department of Energy, U.S.A.
  31. NREL (2011b), Advanced Energy, Practical Ways to Improve Energy Performance, Retail Buildings, Pacific Northwest National Laboratory for U.S. Department of Energy, U.S.A.
  32. NREL (2013a), Advanced Energy Retrofit Guide, Practical Ways to Improve Energy Performance, Healthcare Facilities. National Renewable Energy Laboratory for U.S. Department of Energy, U.S.A.
  33. NREL (2013b). Advanced Energy Retrofit Guide, Practical Ways to Improve Energy Performance, K-12 Schools, National Renewable Energy Laboratory for U.S. Deparment of Energy, U.S.A.
  34. O'Donnell, J., See, R., Rose, C., Maile, T., Bazjanac, V. and Haves, P. (2011), "Simmodel: A domain data model for whole building energy simulation", Proceedings of the 12th Conference of International Building Performance Simulation Association, Sydney, Australia, November.
  35. Omole, O., Akpobasah, D. and Atayero, A. (2016), "Development of a smart, low-cost and IoT-enabled system for energy management", Proceedings of the 3rd International Conference on African Development Issues, Ota, Nigeria, May.
  36. Pacheco-Torres, R., Lopez-Alonso, M., Martinez, G. and Ordonez, J. (2015), "Efficient design of residential buildings geometry to optimize photovoltaic energy generation and energy demand in a warm Mediterranean climate", Energy Efficiency, 8(1), 65-84. https://doi.org/10.1007/s12053-014-9275-5
  37. Pertosa, M., Laura Pisello, A., Lucia Castaldo, V. and Cotana, F. (2014), "Environmental sustainability concept applied to historic buildings: The experience of LEED international protocol in the stable of Sant'Apollinare fortress in Perugia", Proceedings of the 14th CIRIAF National Congress-Energy, Environment and Sustainable Development, Perugia, Italy, April.
  38. Pinheiro, S., Donnell, J., Wimmer, R., Bazjanac, V., Muhic, S., Maile, T., Frisch, J. and van Treek, C. (2016), "Model view definition for advanced building energy performance simulation", Proceedings of the CESBP/BauSIM 2016 Conference, Dresden, Germany, September.
  39. Rocky Mountain Institute (2012), Empire State Building Retrofit Surpasses Energy Savings Expectations, .
  40. Salem, R., Bahadori-Jahromi, A., Mylona, A., Godfrey, P. and Cook, D. (2018), "Retrofit of a UK residential property to achieve nearly zero energy building standard", Adv. Environ. Res., 7(1), 13-28. https://doi.org/10.12989/AER.2018.7.1.013
  41. Sanguinetti, P., Paasiala, P. and Eastman, C. (2014), Automated Energy Performance Visualization for BIM, in Building Information Modeling: BIM in Current and Future Practice, John Wiley & Sons, Hoboken, New Jersey, U.S.A.
  42. Santos, L., Schleicher, S. and Caldas, L. (2017), "Automation of CAD models to BEM models for performance based goal-oriented design methods", Build. Environ., 112, 144-158. https://doi.org/10.1016/j.buildenv.2016.10.015
  43. Tian, Z., Chen, W., Tang, P., Wang, J. and Shi, X. (2015), "Building energy optimization tools and their applicability in architectural conceptual design stage", Energy Procedia, 78, 2572-2577. https://doi.org/10.1016/j.egypro.2015.11.288
  44. Tu, K.J. and Vernatha, D. (2016), "Application of building information modeling in energy management of individual departments occupying university facilities", Int. J. Civ. Environ. Struct. Construct. Architect. Eng., 10(2), 225-231.