Computer simulation of indoor environment of solar photovoltaic ventilation window and its combination with buildings

Issue title: Fuzzy Logic based Decision Making

Guest editors: Erik Maehle, Norbert Stoll and Chao-Hsien Chu

Article type: Research Article

Authors: Chen, Gang

Affiliations: Wuhan Institute of Shipbuilding Technology, Wuhan, Hubei 430000, China | E-mail: [email protected]

Correspondence: [*] Corresponding author: Wuhan Institute of Shipbuilding Technology, Wuhan, Hubei 430000, China. E-mail: [email protected].

Abstract: The purpose of this paper was to investigate the operation condition of a solar photovoltaic ventilation glass window and to perform simulation study on an indoor environment of a building. The method adopted was to perform temperature analysis of a photovoltaic battery through data simulation of the solar photovoltaic ventilation glass window. Results indicated that under the condition that the transmittance of the photovoltaic battery became higher and higher, the absorbing capacity of the photovoltaic battery for solar radiation was gradually reduced, and indoor heat and outlet flow rate were also correspondingly reduced. When a wind speed was overlarge, the human body will experience discomfort, and the heat generated by systems and the heat dissipated by equipment both affected the indoor environment. A conclusion can be drawn that by combining the solar photovoltaic ventilation glass window with the buildings, the indoor warm environment can be effectively utilized.

Keywords: Deep learning, fault diagnosis, induction motor

DOI: 10.3233/JCM-191032

Journal: Journal of Computational Methods in Sciences and Engineering, vol. 19, no. S1, pp. 227-234, 2019