Studies of control strategies for Building Integrated Solar Energy System

H. A. Wahab, M. Duke, J. Carson, T. Anderson
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引用次数: 15

Abstract

Research and development work on Building Integrated Solar Energy Systems (BISES) has become an area of growing interest, not only in New Zealand (NZ) but worldwide. This interest has led to a significant growth in the use of solar energy to provide heating and electricity generation. This paper presents the theoretical and experimental results of a novel building integrated solar hot water system developed using commercial long run roofing materials. This work shows that it is possible to achieve effective integration that maintains the aesthetics of the building and also provides useful thermal energy. The results of a 6.73m2 glazed domestic hot water systems are presented. The key design parameters of the Building Integrated Thermal (BIT) system were identified and implemented in a TRansient SYstem Simulation (TRNSYS) model. Validation results comparing the simulation in TRNSYS and real experimentation show that experimental and simulation responses are close to each other. The coupling of TRNSYS and Matlab/Simulink shows the possibility to use Matlab/Simulink for developing appropriate control strategies for BIT roofing systems. Preliminary Fuzzy Logic (FL) intelligent controller was implemented in a Fuzzy Integrated System (FIS) toolbox in a Matlab/Simulink model and linked into TRNSYS model. Further work is needed to identify and design advanced predictive control strategies for the Building Integrated Photovoltaic Thermal (BIPVT) solar system and determine how the performance can be optimized.
建筑一体化太阳能系统控制策略研究
建筑集成太阳能系统(BISES)的研究和开发工作已经成为一个越来越受关注的领域,不仅在新西兰(NZ),而且在全世界。这种兴趣导致了利用太阳能供暖和发电的显著增长。本文介绍了一种新型建筑集成太阳能热水系统的理论和实验结果,该系统采用商用长期屋面材料。这项工作表明,实现有效的整合是可能的,既能保持建筑的美学,又能提供有用的热能。介绍了一个6.73m2的玻璃生活热水系统的设计结果。确定了建筑综合热系统的关键设计参数,并在瞬态系统仿真(TRNSYS)模型中实现。通过TRNSYS仿真与实际实验的对比验证结果表明,实验响应与仿真响应较为接近。TRNSYS与Matlab/Simulink的耦合显示了使用Matlab/Simulink为BIT屋面系统开发适当控制策略的可能性。初步模糊逻辑(FL)智能控制器在Matlab/Simulink模型中的模糊集成系统(FIS)工具箱中实现,并链接到TRNSYS模型中。进一步的工作需要确定和设计先进的预测控制策略的建筑集成光伏热(BIPVT)太阳能系统,并确定如何优化性能。
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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