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Sensitivity Analysis and Optimization of Building Operations

Title:

Sensitivity Analysis and Optimization of Building Operations

Gunay, H. Burak, Ouf, Mohamed M., Newsham, Guy and O'Brien, William (2019) Sensitivity Analysis and Optimization of Building Operations. Energy and Buildings . ISSN 03787788 (In Press)

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Official URL: http://dx.doi.org/10.1016/j.enbuild.2019.06.048

Abstract

Operator decisions regarding daily and seasonal scheduling of systems’ availability and setpoints play an important role in building performance. This paper reviews the key operational parameters of 14 office buildings in Ottawa, Canada. The results revealed that over 60% of the air handling units (AHUs) were not turned off outside of normal occupied hours, and most of them did not have an economizer cycle. The indoor temperature setpoints were between 20 and 24°C. Based on these insights, a building performance simulation (BPS)-based sensitivity analysis was conducted to better understand the energy and comfort performance implications of common operator decisions. Eight operational parameters were studied: AHU start and stop times, seasonal switchover to heating and cooling times, heating and cooling season temperature setpoints, and ventilation rate and mode (i.e., constant or occupancy-based). The results revealed that the AHU start and stop times and the ventilation rate are the most critical operational parameters examined in terms of affecting the energy and comfort performance of the buildings investigated. Subsequently, a mixed-integer genetic algorithm was applied to identify the optimal operational parameters among the set of eight operational parameters investigated for four different heating dominated climate zones, nine different occupancy and three different envelope scenarios. The relationships between the variables of these scenarios and the optimal operational parameters were examined.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Building, Civil and Environmental Engineering
Item Type:Article
Refereed:Yes
Authors:Gunay, H. Burak and Ouf, Mohamed M. and Newsham, Guy and O'Brien, William
Journal or Publication:Energy and Buildings
Date:23 June 2019
Funders:
  • Natural Sciences and Engineering Research Council of Canada
  • National Research Council Canada
Digital Object Identifier (DOI):10.1016/j.enbuild.2019.06.048
Keywords:Operation; Sensitivity analysis; Optimization; Building performance simulation
ID Code:985547
Deposited By: Michael Biron
Deposited On:11 Jul 2019 12:52
Last Modified:23 Jun 2021 01:00

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