KOREAN SOCIETY FOR FLUID MACHINERY
[ Original Paper ]
The KSFM Journal of Fluid Machinery - Vol. 22, No. 3, pp.35-40
ISSN: 2287-9706 (Print)
Print publication date 01 Jun 2019
Received 15 Jan 2019 Revised 18 Apr 2019 Accepted 18 Apr 2019
DOI: https://doi.org/10.5293/kfma.2019.22.3.035

A Study on The Performance of A Water Heat Pump System

Sanghoon Cha* ; Sungho Ko**,
*K-water Water Industry Platform Center
**School of Mechanical Engr., Chungnam National University
물 히트 펌프 시스템의 성능 연구
차상훈* ; 고성호**,
*K-water 물산업플랫폼센터
**충남대학교 기계공학부

Correspondence to: E-mail : sunghoko@cnu.ac.kr

Abstract

The main purpose of this study is to derive the optimal operating conditions and determine control variables for a water source heat pump system. In this study, a water heat pump system from the K-water S water treatment plant was used as the pilot system. An inverter system was applied to the raw water, brine water, and circulation water pump to conduct an optimal operating condition analysis. In addition, a real-time monitoring and control system was implemented to calculate the system efficiency. The real-time monitoring system stores the flow, temperature, pressure, power, and pump operation data every 10 minutes. A simulation model was developed to analyze the system COP under various operating conditions and the model was calibrated using a pump performance test. The variation of the system efficiency was simulated by varying the flow rate of the pumps with respect to the raw water temperature. The simulation analysis and operation data were compared and the effectiveness of introducing a variable speed water heat pump system was verified. Finally, the control variables related to the systems efficiency were derived.

Keywords:

Heat pump, Optimization, Water Heat Pump System, Heat pump performance curve, Heat exchange rate

키워드:

히트펌프, 최적화, 물 히트펌프 시스템, 히트펌프 성능곡선, 열교환율

1. Introduction

A water source heat pump system with sea water, river water, sewage, wide area water, or ground water is much more simple and efficient than an air source heat pump system. The use of the water source heat pump system that consume less power than air source heat pump system is gradually increasing in the new climate change regime.

The system optimization technologies of an air source heat pump system using the variable speed compressor controls have been studied extensively (2).

However, in case of the water source heat pump systems, many studies have not been conducted because of few installation cases.

Recently, due to the geothermal expansion policy of the government, researches on geothermal systems have been actively under way (3,4).

In general, the efficiency of a heat pump system is determined by the amount of power in compression, condensation, and evaporation process (5,6). In the case of the air heat pump system, researches for improving the system efficiency controlling the variables in proportion to the heat load have been studied extensively (7).

The main purpose of this study is to derive the optimal operating conditions and find the variables for the water source heat pump system.

For this study, we have selected the water heat pump system of K-water S water treatment plant as a pilot system. An inverter system of the raw water, brine water and circulation water pump, and realtime monitoring and control system have been implemented for an optimal operating condition analysis. The realtime monitoring system stores flow rate, temperature, pressure, power, and pump operation data every 10 minutes. A simulation model has been developed to analyze the system COP under various operating condition and the model has been calibrated by a pump performance test. The variation of the system COP was simulated by changing the flow rate of the pumps under the condition of the raw water temperature. We compared the simulation analysis and operation data and have verified the effectiveness of the variable speed system.

Finally, the correlation between heat exchanger temperature differences and system COP has been analyzed. With the correlation results, control variables related to the system COP have been derived.


2. Method

2.1. Pilot System

The pilot system on site is as shown in Fig. 1. The pilot water source heat pump system was built for an office heating and cooling in the S water treatment plant. This system uses raw water from the Han River as a heat source. The system has been in operation since 2010. Raw water pump, brine pump, heat exchanger, heat pump, circulating water pump, heat storage tank, FCU, etc. are the main components of the system. For this study, an inverter system was applied to all pumps. A realtime monitoring and control system was implemented to measure the system efficiency.

Fig. 1

Pilot System

The real-time monitoring system stores the flow rate, temperature, pressure, power, and pump operation data every 10 minutes. A heat pump is a 10 RT capacity water heat pump, a heat exchanger is 40,000 kcal/h, a heat storage tank is 10 ㎥, a raw water and a brine water pump is 0.75 kW, 15 ㎥/h. , 15 ㎥/h. Fig. 2 is the control and monitoring screen of the system.

Fig. 2

Monitoring Screen

The all year round temperature of the water in the pilot system is 3℃ to 25℃ such as in Fig. 3. The water temperature is lower than the atmospheric temperature in summer, and higher than the atmospheric temperature in winter. It can be noticed that water is much more effective than air in a heat exchange.

Fig. 3

Comparison of the air and water annual temperature

2.2. Simulation Model

A simulation model has been developed for analysis under various operating condition. Fig. 4 is a simulation model made by a commercial program (TRNSYS) which is normally used for simulation of heating and cooling system. WP is a raw water pump, BP is a brine pump, CP is a circulating water pump, Type 927 is a heat pump, Type 38 is a heat storage tank, and the other components are the computational elements necessary for simulation.

Fig. 4

Simulation Model

To improve the reliability of the model, the performance test of the pumps has been conducted and the results were used to verify the simulation model. Fig. 5. (1) to (3) are the flow-energy curves of the pumps from the results of field test.

Fig. 5

(a) Raw water pump Q-P, (b) Brine water pump Q-P, (c) Circulation water pump Q-P

Fig. 6 is a comparison of pilot data and simulation results under the same conditions. As shown in Fig. 6 there is no significant difference between operational and simulation data. Therefore, the simulation model can be considered to be reliable.

Fig. 6

Comparison of operation and simulation results

2.3. Simulation condition

Table 1. is the input condition for the simulation model. The heating and cooling capacity and power of the heat pump have been referred to manufacturer's data.

Simulation conditions


3. Results and Discussion

3.1. Simulation results of cooling condition

Fig. 7 is the results of simulation under cooling condition with the raw water temperature of 22°C changing the flow rate of raw water and brine water pump. The system COP was discovered to be the highest at the raw water pump flow rate of 6~8 ㎥/h.

Fig. 7

Flow rate and system COP curves of (a) Raw water pump (b) Brine water pump

In addition, the relationship between the heat exchange rate and system COP also has been analyzed. It can now be confirmed that the systems efficiency drops sharply below 2°C of raw water temperature.

Fig. 8 shows the relationship between the system COP and heat exchange of raw water. This analysis results show that the optimal control can be achieved by controlling the flow rate of raw water and brine water pump. System COP can be optimized by controlling the variable speed of pumps. In other words, it means that the temperature difference of the heat exchanger can be a good control variable for optimal operation.

Fig. 8

Raw water heat exchange and system COP curve

3.2. Simulation results of heating condition

Fig. 9 is the results from simulated analysis under the heating condition based on the raw water temperature of 4°C changing the flow rate of raw water and brine water pump. The system COP was discovered to be the highest at the raw water pump flow rate of 8~9 ㎥/h and the brine pump flow rate of 9~10 ㎥/h.

Fig. 9

Flow rate and system COP curves of (a) Raw water pump, (b) Brine water pump

In addition, the relationship between heat exchange rate and the system COP was analyzed. It can be confirmed that the system COP drops sharply below 4°C.

Fig. 10 shows the relationship between the system COP and heat exchange of raw water. This analysis data shows that the optimal control can be achieved by controlling the flow rate of raw water and brine water pump. The system COP can be optimized by controlling the variable speed pump. In other words, it means that the raw water temperature difference of a heat exchanger can be a good control variable for optimal operation.

Fig. 10

Raw water heat exchange and system COP curve

3.3. Comparison of operation and simulation results

Fig. 11 shows the comparison between the operational data and simulation results under a cooling condition. Fig. 12 shows the comparison of operational data and simulation results under heating conditions. The result of this analysis reveals that the optimal operation using a variable speed pump can be approximately 20% more efficient than the current operating results.

Fig. 11

Raw water temperature and system COP of cooling

Fig. 12

Raw water temperature and system COP of heating

As shown in Fig. 12, it can be seen that the difference between optimal efficiency and operation efficiency sharply increases when the raw water temperature goes down in winter. From the results, the system COP can be improved by maximizing the amount of heat exchange by operating the raw water and brine water pump at a lower flow rate in winter. In other words, it is necessary to adapt the variable speed pump control system in order to improve the system COP, and it can also be seen that the system COP can be improved considerably by controlling the temperature difference of the heat exchanger as the control variable.


4. Conclusions

In this study, the effects of raw water pump, brine water pump flow rate and raw water, brine water heat exchange on system COP were investigated for a pilot system. Based on the simulation and pilot system results, the following results were obtained.

  • (1) There is a particular raw water and brine water pump flow rate that maximizes system COP for both cooling and heating conditions.
  • (2) There is a particular raw water and brine water heat exchange rate that maximizes system COP.
  • (3) If the amount of heat exchange rate between the raw water and the brine water is reduced to a certain amount or less. The system COP sharply decreases.
  • (4) The system COP varies by approximately 20% depending on the raw water pump and brine water pump flow rate at the same raw water temperature.

Acknowledgments

This work was supported by research fund of Chungnam National University

References

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Fig. 1

Fig. 1
Pilot System

Fig. 2

Fig. 2
Monitoring Screen

Fig. 3

Fig. 3
Comparison of the air and water annual temperature

Fig. 4

Fig. 4
Simulation Model

Fig. 5

Fig. 5
(a) Raw water pump Q-P, (b) Brine water pump Q-P, (c) Circulation water pump Q-P

Fig. 6

Fig. 6
Comparison of operation and simulation results

Fig. 7

Fig. 7
Flow rate and system COP curves of (a) Raw water pump (b) Brine water pump

Fig. 8

Fig. 8
Raw water heat exchange and system COP curve

Fig. 9

Fig. 9
Flow rate and system COP curves of (a) Raw water pump, (b) Brine water pump

Fig. 10

Fig. 10
Raw water heat exchange and system COP curve

Fig. 11

Fig. 11
Raw water temperature and system COP of cooling

Fig. 12

Fig. 12
Raw water temperature and system COP of heating

Table 1

Simulation conditions

Contents Values
Internal setting temperature of cooling condition 18 ℃
Internal setting temperature of heating condition 27 ℃
Heat storage tank temperature of cooling condition 12~17 ℃
Heat storage tank temperature of heating condition 38~43 ℃
Heat storage tank volume 10 m3
Heat pump cooling capacity 128 MJ/h
Heat pump heating capacity 132 MJ/h