Skip navigation
Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/120
Title: Multi-objective building design optimization under operational uncertainties using the NSGA II algorithm
Authors: Chaturvedi S.
Rajasekar, Elangovan
Natarajan S.
Published in: Buildings
Abstract: Operational uncertainties play a critical role in determining potential pathways to reduce the building energy footprint in the Global South. This paper presents the application of a non-dominated sorting genetic (NSGA II) algorithm for multi-objective building design optimization under operational uncertainties. A residential building situated in a mid-latitude steppe and desert region (Koppen climate classification: BSh) in the Global South has been selected for our investigation. The annual building energy consumption and the total number of cooling setpoint unmet hours (h) were assessed over 13,122 different energy efficiency measures. Six Pareto optimal solutions were identified by the NSGA II algorithm. Robustness of Pareto solutions was evaluated by comparing their performance sensitivity over 162 uncertain operational scenarios. The final selection for the most optimal energy efficiency measure was achieved by formulating a robust multi-criteria decision function by incorporating performance, user preference, and reliability criteria. Results from this robust approach were compared with those obtained using a deterministic approach. The most optimal energy efficiency measure resulted in 9.24% lower annual energy consumption and a 45% lower number of cooling setpoint unmet h as compared to the base case. © 2020 by the authors.
Citation: Buildings(2020), 10(5): -
URI: https://doi.org/10.3390/BUILDINGS10050088
http://repository.iitr.ac.in/handle/123456789/120
Issue Date: 2020
Publisher: MDPI AG
Keywords: Multi-criteria decision making
Multi-objective building design optimization
Robustness assessment
ISSN: 20755309
Author Scopus IDs: 57217545883
36998794100
21743141100
Author Affiliations: Chaturvedi, S., Department of Architecture and Planning, Indian Institute of Technology Roorkee, Uttarakhand, 247667, India
Rajasekar, E., Department of Architecture and Planning, Indian Institute of Technology Roorkee, Uttarakhand, 247667, India
Natarajan, S., Department of Architecture and Civil Engineering, University of Bath, Bath, BA2 7BA, United Kingdom
Funding Details: Funding: This research was funded by Department of Science and Technology, Government of India Grant number[DST/TMD/UKBEE/2017/17] and Engineering and Physics Research Council, United Kingdom Grant number[EP/R008612/1].
Corresponding Author: Chaturvedi, S.; Department of Architecture and Planning, Indian Institute of Technology RoorkeeIndia; email: schaturvedi@ar.iitr.ac.in
Appears in Collections:Journal Publications [AR]

Files in This Item:
There are no files associated with this item.
Show full item record


Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.