Performance Analysis and Optimization of Shs Based on Solar Resources Distribution in Typical Cities in China

17 Pages Posted: 16 Feb 2022

See all articles by Juan Zhao

Juan Zhao

affiliation not provided to SSRN

Yifei Bai

affiliation not provided to SSRN

Tianwei Qiang

affiliation not provided to SSRN

Suqian Yan

affiliation not provided to SSRN

Jun Lu

Chongqing University

Pei Liang

China Jiliang University

Abstract

Due to the instability and inhomogeneity of solar energy, development of solar heating system is limited in many areas. Dynamic simulation method is used to systematically study the energy consumption of the same SHS in three different regions in western China. DeST simulation software is used to dynamically simulate and analyze the solar radiation parameters and indoor heat load characteristics of the heating energy consumption of the dormitory building respectively in four regions, the results show that the abundance of solar energy resources in descending order are Lhasa, Dunhuang, Yinchuan and Xi’an; The simulation results show the contribution rate of solar energy in descending order is Lhasa, Dunhuang, Xi'an, Yinchuan; Energy performance of the system is analyzed in the conditions of the Xi'an heating season, and SHS is optimized respectively from two aspects: the terminal water supply temperature and the volume of the heat storage water tank (HSWT). The energy utilization efficiency has improved by 5% after optimization; The analysis of the differences in the contribution rate of solar energy in the four regions shows that the best optimization plan for each region can be determined by adjusting the temperature of the water supply and the volume of the HSWT.

Keywords: solar heating, energy performance, optimization strategy, dynamic simulation, contribution rate of solar energy

Suggested Citation

Zhao, Juan and Bai, Yifei and Qiang, Tianwei and Yan, Suqian and Lu, Jun and Liang, Pei, Performance Analysis and Optimization of Shs Based on Solar Resources Distribution in Typical Cities in China. Available at SSRN: https://ssrn.com/abstract=4011830 or http://dx.doi.org/10.2139/ssrn.4011830

Juan Zhao

affiliation not provided to SSRN ( email )

Yifei Bai

affiliation not provided to SSRN ( email )

Tianwei Qiang

affiliation not provided to SSRN ( email )

Suqian Yan

affiliation not provided to SSRN ( email )

Jun Lu

Chongqing University ( email )

Shazheng Str 174, Shapingba District
Shazheng street, Shapingba district
Chongqing 400044, 400030
China

Pei Liang (Contact Author)

China Jiliang University ( email )

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