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作 者:李双营[1] 刘宏伟[1] 邵亚飞 LI Shuang-ying;LIU Hong-wei;SHAO Ya-fei(School of Civil and Transportation Engineering,Qinghai Minzu University,Qinghai Xining 810007,China)
机构地区:[1]青海民族大学土木与交通工程学院,青海西宁810007
出 处:《计算机仿真》2024年第6期162-166,共5页Computer Simulation
基 金:青海省科技计划项目(基础研究计划)(2023-ZJ-738)。
摘 要:光伏光热一体化系统中涉及多种能源,包括太阳能和热能等。由于不同能源的产生、存储和使用特性不同,加之系统内部的复杂性,使得实现多能源协同调度变得复杂。为了获取满意的建筑热负荷能效分层协同调度结果,提出一种光伏光热一体化建筑热负荷能效分层协同调度方法。研究光伏光热一体化建筑中热负荷的热量传递过程,对热负荷自身和热惯性展开分析,获取热负荷热惯性大小和室内热量需求两者的关系。以最大[火用]效率和最小调度成本为目标,分别建立光伏光热一体化建筑热负荷能效上层和下层协同调度模型。通过量子粒子群算法对模型展开分析计算,确定最优建筑热负荷能效分层协同调度方案。实验分析表明,所提方法的热负荷能效分层协同调度效果好,且节能效益高。The photovoltaic-thermal integration system involves various forms of energy,including solar and heat.Due to unique generation,storage,and usage characteristics,coupled with the complexity of the system,it is not easy to achieve efficient coordination among diverse energy sources.To achieve satisfactory hierarchical collaborative scheduling results for building thermal loads,this article presented a stratified collaborative scheduling method for thermal load energy efficiency in photovoltaic-thermal integrated buildings.Firstly,the heat transfer process of thermal load in photovoltaic-thermal integration buildings was studied.Then,an analysis was conducted on the thermal inertia and thermal load,thus determining the relationship between the magnitude of thermal inertia and the demand of indoor heat.In order to maximize the thermal efficiency and minimize the scheduling costs,a collaborative scheduling model for thermal load energy efficiency at upper and lower layers in photovoltaic-thermal integrated buildings was built.Finally,a particle swarm optimization algorithm was adopted to analyze and calculate the model,thus determining the optimal stratified collaborative scheduling scheme.Experimental analysis indicates that the pro⁃posed method achieves good stratified collaborative scheduling results for thermal load energy efficiency with high en⁃ergy-saving benefits.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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