Analytical Evaluation of the Energy Losses During the Duty Cycle of a Residential Heat Pump water Heater YONGOUA Nana Joel MASTERS OF PHYSICS (Research) SUPERVISOR: MICHAEL Simon CO-SPERVISOR: TANGWE Loh Stephen FORT HARE INSTITUTE OF TECHNOLOGY FHIT Renewable energy research
OUTLINE Background Problem statement Objectives Research methodology Results and discussion Conclusion 2
BACKGROUND SA Energy Partition Residential electricity consumption 2% 4% 1% 18% 18% 48% Industrial Mining Commercial Agriculture Transport Residential 45% 4% 35% 3% 25% 2% 15% 1% 5% % Water heating Washing machine Small devices Stoves Heaters Fridges Source: Eskom Integrated Demand Management, 213 Heat Pump Rebate Program: 1% electricity reduction in the residential sector Mass roll out of 65,58 residential ASHP water heater units 3
BACKGROUND ASHP water heater: ASHP water are electromechanical devices used to transfer heat from surrounding air to water (VCRC cycle). can save up to 67% of energy consumption compared to geysers for the same heating load ASHP on SA market Integrated type Achieves greater COP Split-type Lower standby losses Single pass More performant because of greater temperature lift Recirculation type 4
PROBLEM STATEMENT Performance of ASHP water depends on two major input variable: Ambient temperature and relative humidity (Time of day/time of Use) Hot water usage pattern 5
OBJECTIVE Monitor the performance of a split-type residential ASHP water heater during summer and winter Coefficient of Performance Thermal performance of heat exchanger Establish the influence of ambient conditions Establish the influence of the hot water draw patterns 6
METHODOLOGY 1.3kW split type ASHP water heater retrofitting a 15l geyser with R417A as the primary fluid Equipment: Power meter 6 temperature sensors Ambient temperature/relative Humidity Flow meter U-3 NRC data logger Figure 1: Installed Data Acquisition System on Heat Exchangers Fluids all flow in one dimension. The tubes geometry was considered long, thin, uniform, horizontal and a uniform temperature distribution along their surfaces 7
METHODOLOGY Table 1: Compressor Specifications Designation Compressor Type Compressor Displacement Refrigerant Type Electric Source Condenser Type Controlled water draws Morning: 6:-9:am Afternoon: 12:-14:pm Evening: 17:-2:pm Specifications Rotary Compressor 8.4 cc/rev 417A 1ɸ 23V Shell-and-tube type Heat Exchanger parameters Evaporator heat gain Condenser rejected heat Heat absorbed by water Repeated sequential draws 15 liters 1 liters 5 liters 8
RESULTS AND DISCUSSION 35 Ambient Temperature/ºC 4 35 3 25 2 Morning (Tav=18.94ºC) Afternoon (Tav=26.54ºC) Evening (Tav=21.85ºC) Ambient Temperature/ºC 3 25 2 15 Morning (Tav=13.51ºC) Afternoon (Tav=22.43ºC) Evening (Tav=15.28ºC) 15 1 1 2 4 6 8 1 12 14 16 18 Number of Observation Figure 2: Summer Ambient Temperature Profiles 2 4 6 8 1 12 Number of Observation Figure 3: Winter Ambient Temperature Profiles Ambient temperature highest in the afternoon for both seasons Summer: Maximum of 4ºC and minimum of 15ºC Winter: Maximum of 3ºC and minimum of 3ºC 9
RESULTS AND DISCUSSION Avergae COP 5 4.5 4 3.5 3 2.5 2 19.96ºC 26.1ºC 2.43ºC 2.12ºC 27.12ºC My text Morning Afternoon Evening 23.57ºC 16.16ºC 26.5ºC 19.77ºC Avergae COP 4 3.5 3 2.5 2 1.5 14.74ºC 22.97ºC 16.21ºC 12.63ºC Morning Afternoon Evening 22.64ºC 16.9ºC 12.52ºC 21.ºC 12.64ºC 1.5 1.5 15L 1L 5L Volume of Water Heated Figure 4: Summer average COP Profile against Volume of Water Heated up 1.5 15L 1L 5L Volume of Water Heated Figure 5: Winter average COP Profile against Volume of Water Heated up Table 2: COP Variation with Volume of Hot Water and Time of Use Volume of Water Heated/ Litres Summer COP Winter Morning Afternoon Evening Morning Afternoon Evening 15 3.63251 3.545 3.28997 2.82784 3.838 2.9442 1 3.24688 3.22278 3.1557 2.49217 2.5384 2.57326 5 3.3589 2.82363 3.41383 3.14491 2.2786 2.78749 1
RESULTS AND DISCUSSION Condenser Rejected Heat Profiles Heat Absorbed by Water Thermal Energy Profile/kWh.8.7.6.5.4.3.2.1 Morning Afternoon Evening Thermal Energy Profile/kWh 1.8.6.4.2 Morning Afternoon Evening 5 1 15 2 Number of Observations 5 1 15 2 Number of Observations Thermal Energy Profile/kWh.9.8.7.6.5.4.3 Evaporator Heat Gain Morning Afternoon Evening Average Heat Loss/kWh.35.3.25.2.15.1 Condenser Heat Losses.2.5.1 5 1 15 2 Number of Observations Morning Afternoon Evening Figure 6: Summer Thermal Energy Profiles 11
RESULTS AND DISCUSSION Thermal Energy Profile/kWh.8.7.6.5.4.3.2.1 Condenser Rejected Heat Morning Afternoon Evening Thermal Energy Profile/kWh.6.5.4.3.2.1 Heat Absobed by Water Morning Afternoon Evening Thermal Energy Profile/kWh 5 1 15 2 Number of Observations.7.6.5.4.3.2.1 Evaporator Heat Gain Morning Afternoon Evening Average Heat Losses/kWh 5 1 15 2 Number of Observations.35.3.25.2.15.1.5 Condenser Heat Losses 5 1 15 2 Number of Observations Morning Afternoon Evening Figure 7: Winter Thermal Energy Profiles 12
RESULTS AND DISCUSSION Table 3: Condenser Average Thermal Performance Parameters Average Thermal Summer Winter Energies Morning Afternoon Evening Morning Afternoon Evening Rejected Heat/kWh.43675.52936.48451.3436.5139.39883 Heat Absorbed by Water/kWh.3397.26899.29619.25389.23844.24721 Heat Loss/kWh.14614.26231.19137.126.26324.15286 13
CONCLUSION Only about 75-79% of heat is effectively harnessed by water during heating up cycle Performance of heat exchanger is best in the morning and lowest in the afternoon High COP are be attained during huge hot water draws For a fixed pattern, higher COP are attained during the morning heating up cycle 14
REFERENCE [1] T. Skinner (212). Eskom: An overview of energy efficiency and demand side management in South Africa. Available: url [2] University of Pretoria, Measurement and verification guideline: Residential heat pump rebate program. Eskom, Pretoria. 211 [3] E. Orhan, S. Savas and I. Yalcin, Operation of compressor and electronic expansion valve via different controllers P.E. Dadios (Ed): InTech, 212, pp. 223-237 [4] K. Vinther, C. L. Hillerup, S. E. Baasch and H. Rasmussen Evaporator superheat control with one temperature sensor using qualitative system knowledge. Amer contrl conf. 212, pp 374-379. [5] R. K. Green, N. Ahmadi, J. Claesson and D. R. Wilson Microprocessor based control system for heat pumps New ways to save energy (Ed). Netherlands. 198, pp 154-163 15
ACKNOWLEDGEMENT We are grateful to acknowledge the financial supports from Eskom and Fort Hare Institute of Technology, University of Fort Hare in this research in a bid to purchase our data acquisition system and the ASHP water heater system. 16
THANK YOU 17