Maximizing Energy Performance of University Campus Buildings through BIM Software and Multicriteria Optimization Methods

Angeliki Tsantili, Irene Koronaki () and Vasilis Polydoros
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Angeliki Tsantili: School of Electrical and Computer Engineering, National Technical University of Athens, 15780 Athens, Greece
Irene Koronaki: School of Mechanical Engineering, National Technical University of Athens, 15780 Athens, Greece
Vasilis Polydoros: School of Mechanical Engineering, National Technical University of Athens, 15780 Athens, Greece

Energies, 2023, vol. 16, issue 5, 1-20

Abstract: University buildings have high energy requirements due to their size, numerous users, and activities, which considerably contribute to environmental contamination. Implementing energy-saving solutions in these structures has a favorable influence on the economics and the conservation of energy resources. A higher education building’s energy behavior can be simulated using software to identify the optimal strategies that result in energy savings. In this research, Autodesk Revit, Autodesk Insight, and Green Building Studio are among the programs utilized to examine the energy efficiency of the university building in four European cities. Following the development of several energy-saving scenarios for the building, the offered solutions are evaluated based on their annual energy consumption, energy costs, and CO 2 emissions. Finally, multicriteria analysis techniques such as the AHP and PROMETHEE are applied to choose the best scenario for each instance. The study’s findings indicate that the ASHRAE Terminal Package Heat Pump scenario performed well in all of the cities examined, reducing yearly energy usage by 43.75% in Wien and annual energy costs by 47.31% in Mallorca. In comparison, the scenario utilizing a high-efficiency VAV system with a gas boiler and chiller came in last in all situations, resulting in a decrease of 12.67% in Mallorca’s annual energy usage and a reduction of 17.57% in Palermo’s annual energy expenses.

Keywords: energy performance; university buildings; multicriteria analysis; energy-saving scenarios; Autodesk Revit; Autodesk Insight; green building studio (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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