Thermal performance and energy characteristic analysis of multiple renewable energy complementary heat pump system

Solar Energy ◽  
2020 ◽  
Vol 196 ◽  
pp. 287-294 ◽  
Author(s):  
Zhang Dong ◽  
Li Bingyang ◽  
Zhao Qintong ◽  
Li Jinping
Keyword(s):  
Renewable Energy ◽  
Heat Pump ◽  
Thermal Performance ◽  
Energy Characteristic ◽  
Characteristic Analysis ◽  
Pump System ◽  
Heat Pump System

scholarly journals Combined solar heating and air-source heat pump system with energy storage: thermal performance analysis and optimization

2017 ◽  
Vol 205 ◽  
pp. 4090-4097 ◽  
Author(s):  
Zhang Yin ◽  
Long Enshen ◽  
Zhao Xinhui ◽  
Jin Zhenghao ◽  
Liu Qinjian ◽  
...  
Keyword(s):  
Energy Storage ◽  
Performance Analysis ◽  
Heat Pump ◽  
Thermal Performance ◽  
Solar Heating ◽  
Pump System ◽  
Heat Pump System ◽  
Air Source Heat Pump

scholarly journals Development of Optimal Design Method for Ground-Source Heat-Pump System Using Particle Swarm Optimization

Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4850
Author(s):  
Hyeongjin Moon ◽  
Jae-Young Jeon ◽  
Yujin Nam
Keyword(s):  
Renewable Energy ◽  
Heat Pump ◽  
Optimization Design ◽  
Renewable Energy Sources ◽  
Energy System ◽  
Geothermal Heat ◽  
Pump System ◽  
Heat Pump System ◽  
Geothermal Heat Pump ◽  
Building Load

The building sector is an energy-consuming sector, and the development of zero-energy buildings (ZEBs) is necessary to address this. A ZEB’s active components include a system that utilizes renewable energy. There is a heat-pump system using geothermal energy. The system is available regardless of weather conditions and time, and it has attracted attention as a high-performance energy system due to its stability and efficiency. However, initial investment costs are higher than other renewable energy sources. To solve this problem, design optimization for the capacity of geothermal heat-pump systems should be performed. In this study, a capacity optimization design of a geothermal heat-pump system was carried out according to building load pattern, and emphasis was placed on cost aspects. Building load patterns were modeled into hospitals, schools, and apartments, and, as a result of optimization, the total cost over 20 years in all building load patterns was reduced.

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