Reliable facades for sustainable environment

Deepali Kamthania
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Abstract

ANN model for systems using active solar technique including photovoltaic panel and solar collectors has been designed. A simulation program using ANN has been designed for hybrid photovoltaic thermal facade to predict various thermal and electrical performance parameters. The multilayer ANN model has been developed using back propagation algorithm. Testing and training the ANN model have been performed using data of five cities of India having different climatic conditions. The results are compared with the analytical values and are in fair agreement with ANN values. For sustainability of environment carbon credit earned by system has also been taken into consideration.
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可靠的外墙,可持续发展的环境
设计了包括光伏板和太阳能集热器在内的主动太阳能系统的人工神经网络模型。设计了基于人工神经网络的混合光伏热立面仿真程序,对混合光伏热立面的各种热电性能参数进行预测。采用反向传播算法建立了多层神经网络模型。使用具有不同气候条件的印度五个城市的数据对人工神经网络模型进行了测试和训练。结果与分析值进行了比较,与人工神经网络值基本一致。为了环境的可持续性,还考虑了系统所获得的碳信用。
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