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Whole life cycle energy, economy, and environment collaborative optimization on a building envelope integrated with electricity generator system

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  • Luo, Zhenyu
  • Zhu, Na
  • Zhao, Xudong
  • Chang, Jianpei

Abstract

To generate electricity day and night from solar energy, a building envelope integrated with electricity generator system was proposed. The electricity generator system consisted of photovoltaic (PV) cell, thermoelectric generator (TEG) modules and double-layer phase change material (PCM) plate. To make the process of solar, heat and electricity coupling best in the whole life cycle, a parametric collaborative optimization method was adopted on the PV-PCM-TEG system to find the optimum parameters. The optimization method combined response surface method (RSM) and Non-dominated Sequential Genetic Algorithm and Multi-Objective Particle Swarm Optimization (NSGA II-MOPSO) algorithm. The PV-PCM-TEG system was evaluated comprehensively from energy saving (ES), whole life cycle cost (LCC) and carbon dioxide emission reduction (CR). The performance of the PV-PCM-TEG system integrated on wall and roof was investigated. When the PV-PCM-TEG system with optimization installed on the wall, the ES and CR increased 3.92 % and 4.17 % and the LCC reduced 14.20 % compared with the system without optimization. When the PV-PCM-TEG system with optimization installed on the roof, the ES and CR increased 5.73 % and 5.94 % and the LCC reduced 49.28 % compared with the system without optimization.

Suggested Citation

  • Luo, Zhenyu & Zhu, Na & Zhao, Xudong & Chang, Jianpei, 2025. "Whole life cycle energy, economy, and environment collaborative optimization on a building envelope integrated with electricity generator system," Renewable Energy, Elsevier, vol. 255(C).
    • Handle: RePEc:eee:renene:v:255:y:2025:i:c:s096014812501496x
    DOI: 10.1016/j.renene.2025.123832
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    References listed on IDEAS

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