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- Title
Multi-Objective Optimization of Building Energy Saving Based on the Randomness of Energy-Related Occupant Behavior.
- Authors
Zhang, Zhouchen; Yao, Jian; Zheng, Rongyue
- Abstract
Given the escalating global energy demand driven by building energy consumption, this study is dedicated to meticulously investigating efficient energy-saving strategies in buildings, with a keen focus on the impact of occupant behavior's randomness on energy efficiency and multi-objective optimization. The methodology encompassed a thorough analysis of various energy consumption factors, including building envelope and architectural form. We employed Latin Hypercube Sampling for in-depth sampling studies across each factor's reasonable range. Utilizing Sobol sensitivity analysis, we pinpointed variables of high sensitivity and embarked on multi-objective optimization targeting two primary indicators: energy consumption and thermal comfort. Leveraging the NSGA-II algorithm, we adeptly identified optimal solutions, culminating in the proposition of building energy-saving strategies anchored on the Pareto frontier. Through stochastic modeling simulations of occupant behavior in window opening and air conditioning usage, a comparison was made with models that do not consider occupant behavior. It was found that incorporating occupant behavior into energy-saving designs can reduce energy consumption by up to 20.20%, while ensuring thermal comfort. This approach can achieve improved energy efficiency and indoor comfort.
- Subjects
ENERGY consumption; ENERGY consumption of buildings; ENERGY conservation in buildings; LATIN hypercube sampling; THERMAL comfort; BUILDING envelopes; AIR conditioning
- Publication
Sustainability (2071-1050), 2024, Vol 16, Issue 5, p1935
- ISSN
2071-1050
- Publication type
Article
- DOI
10.3390/su16051935