Coordination and Coupling of Active and Passive Energy Optimization in Public Institutions: A Case Study of Hunnan District, Shenyang in China

Taking Hunnan District of Shenyang City as an example, this paper investigates 32 government agencies, 17 tertiary first-class hospitals, and 15 colleges and universities in Hunnan region and analyzes the energy consumption characteristics of three types of public institutions. Through the use of De...

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Bibliographic Details
Published in:Mathematical problems in engineering 2020, Vol.2020 (2020), p.1-8
Main Authors: Yu, Shui, Gao, Qixiang, Yang, Jianghui
Format: Article
Language:English
Subjects:
Algorithms
Buildings
Computer simulation
Coupling
Economic forecasting
Energy conservation
Energy consumption
Energy conversion efficiency
Energy management
Energy resources
Genetic algorithms
Government agencies
Higher education
Hospitals
Mathematical problems
Methods
Optimization
Optimization algorithms
Per capita
Planning
Public buildings
Software
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Summary:Taking Hunnan District of Shenyang City as an example, this paper investigates 32 government agencies, 17 tertiary first-class hospitals, and 15 colleges and universities in Hunnan region and analyzes the energy consumption characteristics of three types of public institutions. Through the use of DeST energy consumption software to simulate the energy consumption of three types of public institutions, combined with the load density method to predict the total energy demand of hospitals, universities, and government agencies in Hunnan area and the MARKAL model coupling mechanism, the coupling model of active and passive energy suitable for public institutions is presented. According to the forecast results of energy demand, combined with the energy consumption structure and energy conversion efficiency, the energy supply of each subitem of the public institution was solved and the energy supply of the public institutions in Hunnan District was optimized in accordance with the relevant constraints. Through calculation, it is found that by 2020, the passive energy supply of public institutions in Hunnan District will account for 19.79% and active energy sources such as coal and petroleum will still be the main type of energy used by public institutions. Based on the research on the active and passive energy coupling supply of public institutions in Hunnan District, the active and passive energy coupling model and algorithm of public institutions constructed can provide a reference basis for the active and passive energy coupling utilization of public institutions in China.
ISSN:1024-123X
1563-5147
DOI:10.1155/2020/5301842