Simulating energy performance of buildings: a study using eQUEST and Energy Star® portfolio manager

References

• Alyami, S., Alqahtany, A., Ashraf, N., Osman, A., Aldossary, N. A., Almutlaqa, A., … Al-Gehlani, W. A. (2022). Impact of location and insulation material on energy performance of residential buildings as per Saudi building code (SBC) 601/602 in Saudi Arabia. Materials, 15(24), 9079. doi:10.3390/ma15249079
   PubMed Web of Science ®Google Scholar
• ASHRAE. (2016). Ashrae standard 62.1-2016: Ventilation for acceptable indoor air quality. Peachtree Corners, GA: Approved American National Standard.
   Google Scholar
• ASHRAE. (2020). Ansi/ASHRAE standard 169-2020: Climatic data for building design standards. Peachtree Corners, GA: Approved Americn National Standard.
   Google Scholar
• Atanasiu, B., Despret, C., Economidou, M., Griffiths, N., Maio, J., Nolte, I., & Rapf, O. (2011). Principles for nearly zero energy buildings. Buildings Performance Institute Europe: BPIE.
   Google Scholar
• Baldi, S., Korkas, C. D., Lv, M., & Kosmatopoulos, E. B. (2018). Automating occupant-building interaction via smart zoning of thermostatic loads: A switched self-tuning approach. Applied Energy, 231, 1246–1258. doi:10.1016/j.apenergy.2018.09.188
   Web of Science ®Google Scholar
• Boston Green Ribbon Commission. (2012). Benchmarking and Disclosure: Lessons from Leading Cities, Boston Green Ribbon Commission. Boston, MA. https://www.abettercity.org/docs/06.2012%20-%20Benchmarking%20report%20-%20Final.pdf(link is external)
   Google Scholar
• Carrier. (2023). Introduction to DOE 2023 Regulatory Requirements. https://www.shareddocs.com/hvac/docs/1010/Public/02/04-811-90044.pdf
   Google Scholar
• El-Darwish, I., & Gomaa, M. (2017). Retrofitting strategy for building envelopes to achieve energy efficiency. Alexandria Engineering Journal, 56(4), 579–589. doi:10.1016/j.aej.2017.05.011
   Web of Science ®Google Scholar
• Evapco. (2022). Thermal Ice Storage: Application & Design Guide.
   Google Scholar
• Federal Energy Management Program. (2013). Continuous commissioning guidebook for federal manager. Oak Ridge, TN: FEMP. http://eber.ed.ornl.gov/CommercialProducts.
   Google Scholar
• Gan, V. J., Lo, I. M., Ma, J., Tse, K., Cheng, J. C., & Chan, C. (2020). Simulation optimisation towards energy efficient green buildings: Current status and future trends. Journal of Cleaner Production, 254, 120012. doi:10.1016/j.jclepro.2020.120012
   Web of Science ®Google Scholar
• Haves, P. (1997). Fault modelling component-based HVAC simulation. In Fifth International IBPSA, Prague, Czech.
   Google Scholar
• Hendron, R. (2006). Building America performance analysis procedures for existing homes. Golden, CO: National Renewable Energy Laboratory. https://www.nrel.gov/docs/fy06osti/38238.pdf
   Google Scholar
• Hong, S.-M., Paterson, G., Burman, E., Steadman, P., & Mumovic, D. (2013). A comparative study of benchmarking approaches for non-domestic buildings: Part 1 – top-down approach. International Journal of Sustainable Built Environment, 2(2), 119–130. doi:10.1016/j.ijsbe.2014.04.001
   Google Scholar
• International Energy Agency. (2013). Technology roadmap: Energy efficient building envelopes, Paris, France. https://www.iea.org/reports/technology-roadmap-energy-efficient-building-envelopes
   Google Scholar
• Jarić, M., Budimir, N., Pejanović, M., & Svetel, I. (2013). A review of energy analysis simulation tools. In 7th international working conference ‘Total Quality Management – Advanced and Intelligent Approaches’, Belgrade, Serbia.
   Google Scholar
• Juaidi, A., Alfaris, F., Montoya, F., & Manzano-Agugliaro, F. (2016). Energy benchmarking for shopping centers in Gulf coast region. Energy Policy, 91, 247–255. doi:10.1016/j.enpol.2016.01.012
   Web of Science ®Google Scholar
• Karki, V., Mostafa, R., Gopalakrishnan, B., & Johnson, D. R. (2022). Determination of effectiveness of energy management system in buildings. Energy Engineering, 120(2), 561–585. doi:10.32604/ee.2023.025218
   Google Scholar
• Korkas, C. D., Baldi, S., & Kosmatopoulos, E. B. (2018). Grid-connected microgrids: Demand management via distributed control and human-in-the-loop optimization. Advances in Renewable Energies and Power Technologies, 2, 315–340. doi:10.1016/b978-0-12-813185-5.00025-5
   Google Scholar
• Korkas, C. D., Baldi, S., Michailidis, I., & Kosmatopoulos, E. B. (2016). Occupancy-based demand response and thermal comfort optimization in microgrids with renewable energy sources and energy storage. Applied Energy, 163, 93–104. doi:10.1016/j.apenergy.2015.10.140
   Web of Science ®Google Scholar
• Lamichhane, S. (2021). An eQUEST based building energy modeling analysis for energy efficiency of buildings. Morgantown: WVU Repository, Graduate Thesis. https://researchrepository.wvu.edu/etd/8266
   Google Scholar
• Maile, T., Fischer, M., & Bazjanac, V. (2007). Building energy performance simulation tools - a life-cycle and interoperable perspective. Stanford, CA: CIFE-Center for Intergrated Facility Engineering.
   Google Scholar
• Mims, N., Schiller, S. R., Stuart, E., Schwartz, L., Kramer, C., & Faesy, R. (2017). Evaluation of U.S. Building energy benchmarking and transparency programs: Attributes, impacts, and best practices. Berkeley: Lawrence Berkeley National Laboratory. doi:10.2172/1393621
   Google Scholar
• Nassif, N., Hall, C., & Freeland, D. (2013). Optimization of Ice Thermal Storage System Design for Design for HVAC systems. In 13th international Conference for Enhanced Building Operations, Montreal, Quebec. https://core.ac.uk/download/pdf/79647365.pdf
   Google Scholar
• North American Insulation Manufacturer Association. (2016). Guide to Insulating Metal Buildings for Compliance to ASHRAE Standard 90.1-2016. Insulation institute. https://insulationinstitute.org/wp-content/uploads/2021/02/ASHRAE-90.1-MB304-v58_Feb2021_2_16.pdf
   Google Scholar
• Rallapalli, H. S. (2010). A comparison of EnergyPlus and eQUEST whole building energy simulation results for a medium sized office building. Arizona State University.
   Google Scholar
• Rawat, M., & Singh, R. (2022). A study on the comparative review of cool roof thermal performance in various regions. Energy and Built Environment, 3(3), 327–347. doi:10.1016/j.enbenv.2021.03.001
   Google Scholar
• Reddy, T. A. (2006). Literature review on calibration of building energy simulation programs: Uses, problems, procedures, uncertainty, and tools. ASHRAE Transactions, 112(Part 1), 226–240.
   Google Scholar
• Ruiz, G. R., & Bandera, C. F. (2017). Validation of calibrated energy models: Common errors. Energies, 10(10), doi:10.3390/en10101587
   Web of Science ®Google Scholar
• Sartori, I., Napolitano, A., & Voss, K. (2012). Net zero energy buildings: A consistent definition framework. Energy and Buildings, 48, 220–232. doi:10.1016/j.enbuild.2012.01.032
   Web of Science ®Google Scholar
• Struck, C., Markov, D., Stankov, P., Ilic, G., Seravimov, M., Bionda, D., & Seerig, A. (2014). Towards compensating HVAC system degradation phenomena with adaptable building elements. In Proceedings of the 13th international conference on sustainable energy technologies, Geneva, Switzerland.
   Google Scholar
• TRANE. (2023). DOE Efficiency Standards: What You Need to Know. https://www.trane.com/residential/en/resources/blog/doe-efficiency-standards-need-know/
   Google Scholar
• U.S. Department of Energy. (2010). Guide to EnergyEfficient Windows. www.energysaver.gov Retrieved from https://www.energy.gov/sites/prod/files/guide_to_energy_efficient_windows.pdf
   Google Scholar
• U.S. Department of Energy. (2015). Quadrennial Technology Review: An Assessment of Energy Technology and Research Opportunity.
   Google Scholar
• U.S Energy Information Administration. (2018). 2018 Commercial buildings energy consumption survey. Washington, DC: U.S. Department of Energy. https://www.eia.gov/consumption/commercial/data/2018/pdf/CBECS%202018%20CE%20Release%202%20Flipbook.pdf
   Google Scholar
• U.S. Energy Information Administration. (2019). Commercial Buildings Energy Consumption Survey: Energy End-Use Consumption Tables. https://www.eia.gov/consumption/commercial/data/2017/index.php?view = consumption_end-use
   Google Scholar
• U.S. Energy Information Administration (EIA). (2022, November 10). West Virginia Electricity Profile 2021 - U.S. Energy Information Administration (EIA). Retrieved May 7, 2023, from https://www.eia.gov/electricity/state/westvirginia/
   Google Scholar
• U.S. Environmental Protection Agency. (2022a). Two Decades of ENERGY STAR®: A Retrospective Study of EPA’s ENERGY STAR Office Buildings Score and Certification. https://www.energystar.gov/buildings/tools-and-resources/two_decades_energy_star_retrospective_study_epas_energy_star_office_buildings
   Google Scholar
• U.S. Environmental Protection Agency (EPA). (2022b). Report on the social cost of greenhouse gases: Estimates incorporating recent scientific advances. Washington, DC: National Center for Environmental Economics: Office of Policy.
   Google Scholar
• Wan, S., Ding, G., Runeson, G., & Liu, Y. (2022). Sustainable buildings’ energy-efficient retrofitting: A study of large office buildings in Beijing. Sustainability, 14(2), 1021–1045. doi:10.3390/su14021021
   Web of Science ®Google Scholar
• Wang, L., Greenberg, S., Fiegel, J., Rubalcava, A., Earni, S., Pang, X., … Hernandez-Maldonado, J. (2013). Monitoring-based HVAC commissioning of an existing office building for energy efficiency. Applied Energy, 102, 1382–1390. doi:10.1016/j.apenergy.2012.09.005
   Web of Science ®Google Scholar
• Wang, Z., & Srinivasan, R. S. (2017). A review of artificial intelligence based building energy use prediction: Contrasting the capabilities of single and ensemble prediction models. Renewable and Sustainable Energy Reviews, 75, 796–808. doi:10.1016/j.rser.2016.10.079
   Web of Science ®Google Scholar
• Waste Reduction Partners. (2010, April). Setback Temperature Control. Retrieved April 6, 2021, from https://wastereductionpartners.org/component/phocadownload/category/18?Itemid = 173
   Google Scholar
• Xing, J., Ren, P., & Ling, J. (2015). Analysis of energy efficiency retrofit scheme for hotel buildings using eQuest software: A case study from Tianjin, China. Energy and Buildings, 87, 14–24. doi:10.1016/j.enbuild.2014.10.045
   Web of Science ®Google Scholar
• Yik, F., & Lun, Y. F. (2010). Energy saving by utilizing natural ventilation in public housing in Hong Kong. Indoor and Built Environment, 19(1), 73-87. doi:10.1177/1420326X09358021
   Web of Science ®Google Scholar