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Energy Modeling Existing Large University Buildings

Zaidi, Syed Tabish
http://orcid.org/0000-0001-6459-2875
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1561394381779396

Abstract Details

2019, MS, University of Cincinnati, Engineering and Applied Science: Civil Engineering.
Buildings account for almost 75% of total electricity consumption and nearly 40% of CO2 emissions in the US. Improving the energy-efficiency of buildings is one of the most effective and affordable ways to decrease greenhouse gas emissions on a large scale. Thus, Energy Modelling Software (EMS) are required to analyze a building for its energy use. These software are designed to evaluate energy performance of buildings during design phase, and not for buildings that already exist. For existing buildings, any attempt to evaluate energy-efficiency strategies should begin by understanding how it currently consumes energy by constructing its model in the software. The goal of this research is to better understand how Existing University Buildings (EUB)s use energy, to determine what factors impact the energy consumption and how changes in these factors affect its energy consumption. It also evaluates potential use of existing energy modelling software for simulating energy consumption of an existing building and provides recommendation on how to improve simulation results and reduce energy consumption. The methodology included analyzing architectural and HVAC equipment details of an existing building at University of Cincinnati, modeling the building in an EMS (eQUEST), comparing its utility consumption to actual data provided by the university, and performing a sensitivity analysis to determine factors affecting energy consumption. Recommendations on how to improve the energy simulation results and reduce the building’s energy consumption were then developed.
Hazem Elzarka, Ph.D. (Committee Chair)
Anton Harfmann, M.Arch. (Committee Member)
Julian Wang, Ph.D. (Committee Member)
80 p.
Civil Engineering
Energy Modeling; Existing University Buildings; eQUEST; Building energy performance; Building energy consumption

Recommended Citations

Citations

  • Zaidi, S. T. (2019). Energy Modeling Existing Large University Buildings [Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1561394381779396

    APA Style (7th edition)

  • Zaidi, Syed Tabish. Energy Modeling Existing Large University Buildings. 2019. University of Cincinnati, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1561394381779396.

    MLA Style (8th edition)

  • Zaidi, Syed Tabish. "Energy Modeling Existing Large University Buildings." Master's thesis, University of Cincinnati, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1561394381779396

    Chicago Manual of Style (17th edition)

ucin1561394381779396
258
© 2019, all rights reserved.
This open access ETD is published by University of Cincinnati and OhioLINK.