Multi-objective optimization prediction model for building parameters of photovoltaic windows based on NSGA II-BP

IF 6.4 2区工程技术 Q1 THERMODYNAMICS

Case Studies in Thermal Engineering Pub Date : 2024-12-01 DOI:10.1016/j.csite.2024.105500

Jiran Zhang , Lingling Zhang , Panpan Ren , Wengang Hao , Ao Xu

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引用次数: 0

Abstract

This article simulates the indoor useful daylight illuminance (UDI), energy consumption, and power generation of photovoltaic (PV) window buildings using EnergyPlus simulation software. Extensive data on these simulation parameters are obtained using parametric simulation software and combined with actual meteorological data. The factors significantly influencing PV window building performance are determined based on ANOVA. A model is developed to predict energy consumption, power generation, and UDI of PV window buildings using a back propagation neural network. For better lighting quality, lower energy consumption, and greater power generation, NSGA-II is introduced to optimize the windows' performance with multi-objective parameters. Moreover, the resulting energy saving rate, annual average power generation growth rate, and UDI growth rate are compared with the initial values to evaluate the effectiveness of the optimal solution. The results demonstrate that the energy saving rate of the building is 18.23 %, and the growth rates of the useful daylight illuminance and power generation reach 41.6 % and 5.12 %, respectively, compared to the initial values.

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基于 NSGA II-BP 的光伏窗建筑参数多目标优化预测模型

本文利用 EnergyPlus 仿真软件模拟了光伏（PV）窗口建筑的室内有用日光照度（UDI）、能耗和发电量。这些模拟参数的大量数据是利用参数模拟软件并结合实际气象数据获得的。根据方差分析确定了对光伏窗建筑性能有重大影响的因素。利用反向传播神经网络建立了一个模型，用于预测光伏窗建筑的能耗、发电量和 UDI。为了获得更好的照明质量、更低的能耗和更高的发电量，引入了 NSGA-II 来优化光伏窗的多目标参数性能。此外，还将得出的节能率、年平均发电量增长率和 UDI 增长率与初始值进行比较，以评估最优解的有效性。结果表明，与初始值相比，建筑节能率为 18.23%，有用日光照度和发电量增长率分别达到 41.6% 和 5.12%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Case Studies in Thermal Engineering Chemical Engineering-Fluid Flow and Transfer Processes

CiteScore

8.60

自引率

11.80%

发文量

812

审稿时长

76 days

期刊介绍： Case Studies in Thermal Engineering provides a forum for the rapid publication of short, structured Case Studies in Thermal Engineering and related Short Communications. It provides an essential compendium of case studies for researchers and practitioners in the field of thermal engineering and others who are interested in aspects of thermal engineering cases that could affect other engineering processes. The journal not only publishes new and novel case studies, but also provides a forum for the publication of high quality descriptions of classic thermal engineering problems. The scope of the journal includes case studies of thermal engineering problems in components, devices and systems using existing experimental and numerical techniques in the areas of mechanical, aerospace, chemical, medical, thermal management for electronics, heat exchangers, regeneration, solar thermal energy, thermal storage, building energy conservation, and power generation. Case studies of thermal problems in other areas will also be considered.