Multi-objective Building Design Optimization under Operational Uncertainties Using the NSGA II Algorithm
| Autor: | Sukumar Natarajan, E. Rajasekar, Shobhit Chaturvedi |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Computer science
multi-criteria decision making robustness assessment Global South Pareto principle Building and Construction Energy consumption Building design lcsh:TH1-9745 multi-objective building design optimization Setpoint Climate classification Robustness (computer science) Architecture Algorithm Civil and Structural Engineering Efficient energy use lcsh:Building construction |
| Zdroj: | Buildings, Vol 10, Iss 88, p 88 (2020) Buildings; Volume 10; Issue 5; Pages: 88 |
| ISSN: | 2075-5309 |
| Popis: | 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 (Köppen 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. |
| Databáze: | OpenAIRE |
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