Review of the Coupled System of Solar and Air Source Heat Pump
Abstract
1. Introduction
2. Solar–Air Source Heat Pump Coupled System Structure
2.1. Solar Collector
2.2. Air Source Heat Pump
2.3. S–ASHP System
3. DX–S-ASHP System
4. IDX–S-ASHP System
4.1. Series IDX–S-ASHP System
4.2. Parallel DX–S-ASHP System
4.3. Hybrid IDX–S-ASHP System
5. The Application Case of S–ASHP System
6. Conclusions and Foresight
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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References | Type | Refrigerant | Optimize the Technical Route | Result |
---|---|---|---|---|
[45] | Experimental test | R407c | A solar finned tube evaporator is proposed. | In relation to the same type of conventional ASHP, it has better heating performance. |
[46] | Simulation | R410a | A multifunctional evaporator with thermosyphon is proposed. | In relation to the ASHP system, the energy-saving rate can reach 20–48%. |
[47] | Experimental test | – | The SC and heat pump evaporator are combined. | In relation to the ASHP, the heating capacity is increased by about 70%. |
[48] | Experimental test | R410a | A dual-source plate evaporator. | Significantly improve the system performance |
[49,50] | Simulation | – | A new type of triangular solar air collector-assisted air source heat pump is proposed. | The COP value under the best working mode is increased by 64.4%. |
[51] | Experimental test | R134a | Apply the concentrator to the system. | The heating capacity has gone up by 5.9% and the total efficiency has been elevated by 9.5%. |
References | Type | Refrigerant | Optimize the Technical Route | Result |
---|---|---|---|---|
[52] | Simulation | R134a | In different environments, through the theoretical analysis of the components. | The COP of the system is 3.23 under the condition of zero solar radiation. |
[53] | Simulation | – | Different concentration ratios, water temperature, ambient temperature, and solar irradiance were set for factor analysis. | The total efficiency increases with the increase in ambient temperature. |
[54] | Simulation | R134a | The effect of system design parameters on performance is investigated. | It provides ideas for the optimal design of each component of the system. |
[55] | Simulation | R134a | The variation in heating performance with ambient temperature and solar irradiance was studied. | The highest heating performance coefficient of the system is 7 in summer and the lowest is 3.23 in winter. |
[56] | Simulation | R–134a | Mathematical modeling and analysis of the system. | The greater the solar irradiance and the higher the ambient temperature, the shorter the heating time of the system. |
[57] | Simulation | – | The effects of ambient temperature, solar irradiation, and evaporation area on evaporation were analyzed. | The average COP of the system is 2.71 under 100 W/m2 solar irradiation and 10 °C ambient temperature. |
[58] | Experimental test | R134a | The effects of solar irradiance and circulating water temperature on the performance of the proposed system are analyzed. | Increasing the solar irradiance and reducing the circulating water temperature are beneficial to improve the system’s performance. |
References | Type | Refrigerant | Optimize the Technical Route | Result |
---|---|---|---|---|
[59] | Simulation | R134a | The mass flow ratio of the refrigeration medium. | The critical ratio of switching between solar air mode and solar mode is about 0.75. |
[60] | Simulation | R22 | Optimize the flow ratio of refrigerant in SC and evaporator. | When the ratio is 0.6–0.7, the cooling effect is the best. |
[61] | Simulation | – | Regulate the distribution of refrigerant on the evaporation side. | The performance of the system in space heating mode and water heating mode is optimized. |
[62] | Simulation | R290, R22, R410A | The system performance coefficient, heat collection efficiency, and heating power of R290, R22, and R410 A are compared and analyzed. | The COP value of the R290 system is higher than the other two. |
[63] | Simulation | R134a, R290, R410A, R717 | The performance of the system under four different working fluids R134 a, R290, R410 A, and R717 was compared. | As a cooling medium, R717 has higher system energy efficiency than other working fluids. |
References | Type | Refrigerant | Optimize the Technical Route | Result |
---|---|---|---|---|
[83] | Simulation | R404A, R32, R1234yf, R290, R600a, R245fa R152a | R404A, R32, R1234yf, R290, R600a, R245fa and R152a were optimized. | The optimal fluid is R32, and the energy utilization efficiency can reach 60.85%. |
[84] | Simulation | R407C | The refrigerant receiver ensures smooth switching between different operating modes. | It has the advantages of energy–saving operation mode and good applicability to different weather conditions. |
[85] | Experimental test | R22 | An integrated solar–air source heat pump evaporator with solar and air heat sources is designed. | The COP of the system increases by 15%. |
[86] | Experimental test | R22 | A double heat combined gas-liquid heat exchanger was designed. | Improve the efficiency of energy utilization. |
References | Type | Refrigerant | Optimize the Technical Route | Result |
---|---|---|---|---|
[89] | Simulation | – | System short-term load forecasting based on LSTM neural network. | Reduce the use of ASHP, thereby reducing energy consumption purposes |
[90] | Simulation | – | The heating capacity of ASHP is predicted to realize the control of heat pump. | Shorten the running time of the heat pump. |
[91] | Simulation | R22 | The KNN algorithm is used to realize the hourly prediction of hot water load. | The energy consumption of the system is reduced by 7.55–20.36% compared with the original control scheme. |
[92] | Simulation | – | The Hooke–Jeeves algorithm is used to optimize the key parameters of the system. | The annual energy consumption is reduced by about 3.9%. |
[93] | Simulation | – | The Hooke–Jeeves algorithm is used to optimize the key parameters of the system. | After optimization, the unit heating cost is saved by about 20.6%. |
[94] | Simulation | R410A | A method for calculating the economic optimal f and collector area of the system is proposed. | Maximize solar energy potential and reduce system cost. |
[95] | Simulation | – | Combined with the iterative optimization of GenOpt program, the optimal installation angle and size are obtained. | The coefficient of thermal performance of the system is 4.6. |
[96] | Simulation | R410a | Optimization of system performance and key parameters. | The optimal values of SC area, collector angle, and tank volume are 225 m2, 45°, and 30 m3, respectively. |
[97] | Simulation | – | The effects of ambient temperature, effective collector area, and cumulative heat capacity of the collector on system performance are studied. | The dynamic change in ambient temperature and instantaneous solar irradiance is the main reason for the error in heat balance. |
References | Type | Refrigerant | Optimize the Technical Route | Result |
---|---|---|---|---|
[98] | Simulation | – | The collaborative optimization model is used to design the solar central heating system. | Effectively avoid the solar energy guarantee rate of the design system is small. |
[99] | Simulation | – | The interaction between hot water supply performance and space heating performance is analyzed. | The hot water flow rate has a significant effect on the instantaneous heat generation of the hybrid heating system. |
[100] | Simulation | – | A SFA system was set up. | The system can reduce energy consumption by 55.38%. |
[101] | Experimental test | – | The air source evaporator obtains heat from the outdoor air in the atmosphere by means of the air source side loop of a heat pump equipped with a solar–air source device. | Significantly improve the system COP and reduce energy consumption. |
[102] | Experimental test | R134a | The water source evaporator is added to the existing solar-assisted ASHP drying system. | The system energy consumption is reduced by 17.15%. |
[103] | Simulation | – | The operation characteristics and energy saving of the system with different optimization strategies are analyzed. | Reducing the start–stop temperature of the auxiliary heat source ASHP can effectively reduce the power consumption of the system. |
References | Type | Refrigerant | Optimize the Technical Route | Result |
---|---|---|---|---|
[107] | Experimental test | – | The influence of system design parameters on the energy consumption of the system is studied. | The system can reduce emissions by 22%. |
[108] | Simulation | R134a | A dual source (air source and water source evaporator) dual compressor parallel process coupled heat pump is proposed. | Compared with the traditional ASHP, the whole heating period can save energy by 8.72%. |
[109] | Experimental test | – | A solar vacuum tube water heater–ASHP system was established. | The maximum COP of the system is 3.6, the average COP is about 2.9, and the primary energy-saving rate is 66.4%. |
[110] | Simulation | – | A compound parabolic concentrator–capillary SC is proposed. | The collector efficiency of the collector is high, which reduces the size of the collector and significantly reduces the cost. |
[111] | Experimental test | R22 | The unique combination of large flat plate SC and double source heat pump is adopted. | The percentage of solar energy in the whole heating season amounts to 31.8%, and the energy efficiency ratio of the system is 3.08. |
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Meng, X.; Zhou, X.; Li, Z. Review of the Coupled System of Solar and Air Source Heat Pump. Energies 2024, 17, 6045. https://doi.org/10.3390/en17236045
Meng X, Zhou X, Li Z. Review of the Coupled System of Solar and Air Source Heat Pump. Energies. 2024; 17(23):6045. https://doi.org/10.3390/en17236045
Chicago/Turabian StyleMeng, Xin, Xin Zhou, and Zhenyu Li. 2024. "Review of the Coupled System of Solar and Air Source Heat Pump" Energies 17, no. 23: 6045. https://doi.org/10.3390/en17236045
APA StyleMeng, X., Zhou, X., & Li, Z. (2024). Review of the Coupled System of Solar and Air Source Heat Pump. Energies, 17(23), 6045. https://doi.org/10.3390/en17236045