Smart Evaluation Index of Roof SHS Suitability

Juan Zhao, Yifei Bai, Junmei Gao, Tianwei Qiang and Pei Liang
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Juan Zhao: School of Urban Planning and Municipal Engineering, Xi’an Polytechnic University, Xi’an 710048, China
Yifei Bai: School of Urban Planning and Municipal Engineering, Xi’an Polytechnic University, Xi’an 710048, China
Junmei Gao: School of Urban Planning and Municipal Engineering, Xi’an Polytechnic University, Xi’an 710048, China
Tianwei Qiang: School of Urban Planning and Municipal Engineering, Xi’an Polytechnic University, Xi’an 710048, China
Pei Liang: College of Optical and Electronic Technology, China Jiliang University, Hangzhou 310018, China

Energies, 2022, vol. 15, issue 3, 1-14

Abstract: The instability of solar energy and its resource distribution characteristics make it difficult to judge its suitability in practical engineering applications, which hinders its promotion and application. In order to better promote the effective use of solar energy and promote the solar heating system, it is necessary to put forward a simple method of judging the suitability of the solar heating system for engineering application. This study puts forward “F, Q” as the basis for judging the suitability of solar heating systems built on the roof. Two types of public buildings, office buildings and three-star hotels, are taken as the research objects. DeST software is used to change the heating area of the building by superimposing floors to simulate the heat load of the building when the heating area changes. A dynamic simulation coupling model of solar heating system is established in the TRNSYS software to analyze the operating status of the system under all working conditions. The functional relationship between “F, Q” and solar energy guarantee rate is established, and the solar energy contribution rate is divided into three regions of F < 30%, 30% ≤ F ≤ 50%, and F > 50%. The evaluation standard of the building suitability of the solar energy heating system is established according to the scope of “F, Q” in different regions (An office building for, e.g., if the contribution rate of solar heating system is required to be greater than 50%, the “F” of these four areas should be greater than 0.11388, 0.15543, 0.10572, and 0.04511.), and the effectiveness of “F” is verified through actual cases verified by other scholars in the research. The method proposed in this paper is helpful to judge the suitability of solar heating systems in different regions and different types of conventional buildings, so as to better promote solar heating systems.

Keywords: solar heating; building suitability; dynamic simulation; solar contribution rate; fitting regression (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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