Abstract
Improving the control strategy of an heating, ventilation, and air-conditioning (HVAC) system can result in substantial energy saving. In this paper, we formulate the whole HVAC system to a bi-level optimization problem to minimize the energy consumption of the HVAC system and maximize the satisfaction of indoor human comfort. The hierarchical evolutionary algorithm with preliminary feasibility conditions and crude energy index is proposed to find the good-quality control strategy of the HVAC system. Numerical results demonstrate the efficiency and effectiveness of the proposed method and show the performance of the obtained control strategy.
| Original language | English |
|---|---|
| Pages (from-to) | 3237-3249 |
| Number of pages | 13 |
| Journal | Cluster Computing |
| Volume | 20 |
| Issue number | 4 |
| DOIs | |
| State | Published - 1 Dec 2017 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Bi-level optimization
- Energy saving
- HVAC system
- Hierarchical evolutionary algorithm
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