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2019
Study on performance evaluation of CO2 heat pump system integrated with
Study on performance evaluation of CO2 heat pump system integrated with
thermal energy storage for space heating
thermal energy storage for space heating
Zhihua Wang
Xi'an Jiaotong University, [email protected] Yuxin Zheng
X'ian Aeronautical University Fenghao Wang
Xi'an Jiaotong University Mengjie Song
University of Tokyo Zhenjun Ma
University of Wollongong, [email protected]
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Recommended Citation Recommended Citation
Wang, Zhihua; Zheng, Yuxin; Wang, Fenghao; Song, Mengjie; and Ma, Zhenjun, "Study on performance evaluation of CO2 heat pump system integrated with thermal energy storage for space heating" (2019). Faculty of Engineering and Information Sciences - Papers: Part B. 2560.
https://ro.uow.edu.au/eispapers1/2560
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Study on performance evaluation of CO2 heat pump system integrated with
Study on performance evaluation of CO2 heat pump system integrated with
thermal energy storage for space heating
thermal energy storage for space heating
Abstract Abstract
CO2 heat pumps have drawn a great deal of attention owing to their advantages of high efficiency and environmental friendly for heating water under low ambient temperature. However, the system
performance is not desirable and shows a lower COP for space heating, especially for a radiator as heating terminal, due to the higher inlet water temperature at the gas cooler, which causes a large throttle loss when the refrigerant flow through the throttling device. To tackle this issue, a transcritical CO2 heat pump system integrated with thermal energy storage (TES) systems was developed in this paper. The heating performance of the proposed system was investigated using TRNSYS 17.0 based on a typical single family rural house located in Beijing, China. The results showed that the heating capacity and energy consumption decreased by 21 and 24%, respectively, and the heating seasonal performance factor (HSPF) of the proposed system increased by 4% in comparison with the baseline system (without TES) during the entire heating period. It has been proved that the proposed system showed a better
performance for space heating with a radiator terminal at low ambient temperature. Keywords
Keywords
study, system, heating, integrated, thermal, energy, storage, space, evaluation, performance, co2, heat, pump
Disciplines Disciplines
Engineering | Science and Technology Studies Publication Details
Publication Details
Wang, Z., Zheng, Y., Wang, F., Song, M. & Ma, Z. (2019). Study on performance evaluation of CO2 heat pump system integrated with thermal energy storage for space heating. Energy Procedia, 158 1380-1387.
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Available online at Available online at www.sciencedirect.comwww.sciencedirect.com
ScienceDirect
Energy Procedia 00 (2017) 000–000
www.elsevier.com/locate/procedia
1876-6102 © 2017 The Authors. Published by Elsevier Ltd.
Peer-review under responsibility of the Scientific Committee of The 15th International Symposium on District Heating and Cooling.
The 15th International Symposium on District Heating and Cooling
Assessing the feasibility of using the heat demand-outdoor
temperature function for a long-term district heat demand forecast
I. Andri
ć
a,b,c*, A. Pina
a, P. Ferrão
a, J. Fournier
b., B. Lacarrière
c, O. Le Corre
caIN+ Center for Innovation, Technology and Policy Research - Instituto Superior Técnico, Av. Rovisco Pais 1, 1049-001 Lisbon, Portugal bVeolia Recherche & Innovation, 291 Avenue Dreyfous Daniel, 78520 Limay, France
cDépartement Systèmes Énergétiques et Environnement - IMT Atlantique, 4 rue Alfred Kastler, 44300 Nantes, France
Abstract
District heating networks are commonly addressed in the literature as one of the most effective solutions for decreasing the greenhouse gas emissions from the building sector. These systems require high investments which are returned through the heat sales. Due to the changed climate conditions and building renovation policies, heat demand in the future could decrease, prolonging the investment return period.
The main scope of this paper is to assess the feasibility of using the heat demand – outdoor temperature function for heat demand forecast. The district of Alvalade, located in Lisbon (Portugal), was used as a case study. The district is consisted of 665 buildings that vary in both construction period and typology. Three weather scenarios (low, medium, high) and three district renovation scenarios were developed (shallow, intermediate, deep). To estimate the error, obtained heat demand values were compared with results from a dynamic heat demand model, previously developed and validated by the authors.
The results showed that when only weather change is considered, the margin of error could be acceptable for some applications (the error in annual demand was lower than 20% for all weather scenarios considered). However, after introducing renovation scenarios, the error value increased up to 59.5% (depending on the weather and renovation scenarios combination considered). The value of slope coefficient increased on average within the range of 3.8% up to 8% per decade, that corresponds to the decrease in the number of heating hours of 22-139h during the heating season (depending on the combination of weather and renovation scenarios considered). On the other hand, function intercept increased for 7.8-12.7% per decade (depending on the coupled scenarios). The values suggested could be used to modify the function parameters for the scenarios considered, and improve the accuracy of heat demand estimations.
© 2017 The Authors. Published by Elsevier Ltd.
Peer-review under responsibility of the Scientific Committee of The 15th International Symposium on District Heating and Cooling.
Keywords:Heat demand; Forecast; Climate change
Energy Procedia 158 (2019) 1380–1387
1876-6102 © 2019 The Authors. Published by Elsevier Ltd.
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Peer-review under responsibility of the scientific committee of ICAE2018 – The 10th International Conference on Applied Energy. 10.1016/j.egypro.2019.01.338
10.1016/j.egypro.2019.01.338
© 2019 The Authors. Published by Elsevier Ltd.
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Peer-review under responsibility of the scientific committee of ICAE2018 – The 10th International Conference on Applied Energy.
1876-6102 Available online at www.sciencedirect.com
ScienceDirect
Energy Procedia 00 (2018) 000–000
www.elsevier.com/locate/procedia
1876-6102 Copyright © 2018 Elsevier Ltd. All rights reserved.
Selection and peer-review under responsibility of the scientific committee of the 10th International Conference on Applied Energy (ICAE2018).
10
thInternational Conference on Applied Energy (ICAE2018), 22-25 August 2018, Hong Kong,
China
Study on performance evaluation of CO
2heat pump system
integrated with thermal energy storage for space heating
ZhihuaWang
a, Yuxin Zheng
b, FenghaoWang
a*, Mengjie Song
c, Zhenjun Ma
daSchool of Human Settlements and Civil Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi, 710049, China bSchoolof Energy and Architecture, Xi’an Aeronautical University, Xi’an, 710077, China
cDepartment of Human and Engineered Environmental Studies, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan dSustainable Buildings Research Centre (SBRC), University of Wollongong, Wollongong 2522, NSW, Australia
Abstract
CO2 heat pumps have drawn a great deal of attention owing to their advantages of high efficiency and environmental friendly for heating water under low ambient temperature. However, the system performance is not desirable and shows a lower COP for space heating, especially for a radiator as heating terminal, due to the higher inlet water temperature at the gas cooler, which causes a large throttle loss when the refrigerant flow through the throttling device. To tackle this issue, a transcritical CO2 heat pump system integrated with thermal energy storage (TES) systems was developed in this paper. The heating performance of the proposed system was investigated using TRNSYS 17.0 based on a typical single family rural house located in Beijing, China. The results showed that the heating capacity and energy consumption decreased by 21 and 24%, respectively, and the heating seasonal performance factor (HSPF) of the proposed system increased by 4% in comparison with the baseline system (without TES) during the entire heating period. It has been proved that the proposed system showed a better performance for space heating with a radiator terminal at low ambient temperature.
Copyright © 2018 Elsevier Ltd. All rights reserved.
Selection and peer-review under responsibility of the scientific committee of the 10th International Conference on Applied Energy (ICAE2018).
Keywords: CO2 heat pump; TRNSYS; Simulation; Space heating; HSPF;
* Corresponding author. Tel:+86-13227006940; Fax:+86-29-83395100.
E-mail address: [email protected]
Available online at www.sciencedirect.com
ScienceDirect
Energy Procedia 00 (2018) 000–000
www.elsevier.com/locate/procedia
1876-6102 Copyright © 2018 Elsevier Ltd. All rights reserved.
Selection and peer-review under responsibility of the scientific committee of the 10th International Conference on Applied Energy (ICAE2018).
10
thInternational Conference on Applied Energy (ICAE2018), 22-25 August 2018, Hong Kong,
China
Study on performance evaluation of CO
2heat pump system
integrated with thermal energy storage for space heating
ZhihuaWang
a, Yuxin Zheng
b, FenghaoWang
a*, Mengjie Song
c, Zhenjun Ma
daSchool of Human Settlements and Civil Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi, 710049, China bSchoolof Energy and Architecture, Xi’an Aeronautical University, Xi’an, 710077, China
cDepartment of Human and Engineered Environmental Studies, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan dSustainable Buildings Research Centre (SBRC), University of Wollongong, Wollongong 2522, NSW, Australia
Abstract
CO2 heat pumps have drawn a great deal of attention owing to their advantages of high efficiency and environmental friendly for heating water under low ambient temperature. However, the system performance is not desirable and shows a lower COP for space heating, especially for a radiator as heating terminal, due to the higher inlet water temperature at the gas cooler, which causes a large throttle loss when the refrigerant flow through the throttling device. To tackle this issue, a transcritical CO2 heat pump system integrated with thermal energy storage (TES) systems was developed in this paper. The heating performance of the proposed system was investigated using TRNSYS 17.0 based on a typical single family rural house located in Beijing, China. The results showed that the heating capacity and energy consumption decreased by 21 and 24%, respectively, and the heating seasonal performance factor (HSPF) of the proposed system increased by 4% in comparison with the baseline system (without TES) during the entire heating period. It has been proved that the proposed system showed a better performance for space heating with a radiator terminal at low ambient temperature.
Copyright © 2018 Elsevier Ltd. All rights reserved.
Selection and peer-review under responsibility of the scientific committee of the 10th International Conference on Applied Energy (ICAE2018).
Keywords: CO2 heat pump; TRNSYS; Simulation; Space heating; HSPF;
* Corresponding author. Tel:+86-13227006940; Fax:+86-29-83395100.
E-mail address: [email protected]
2 Author name / Energy Procedia 00 (2018) 000–000
1. Introduction
In recent years, heat pump has been widely used for space heating because of their advantage of high efficiency, energy-saving and green environmental protection [1][2][3]. Especially in China, in order to track the issues of environmental pollution and energy crisis, the Chinese government has adopted a series of fiscal stimulus packages for promoting the use of the renewable energy technologies. The most significant measure of them is to use ASHP unit replace the coal fired boiler for space heating in northern China. It greatly reduces the consumption of fossil energy resource and greenhouse gas emission [4][5]. However, most heating systems are taken use of radiator as terminal in rural region of northern China, the design of supply/return water temperature are 75/50ºC according the Chinese Standard (Design code for heating ventilation and air conditioning of civil buildings, GB 50736-2012). The outlet water temperature of air source heat pumps (ASHPs) unit using conventional refrigerant as working fluid is only 41 ºC at the nominal design condition (-12 dry-bulb temperature /-14 wet-bulb temperature) (Chinese Standard < Low ambient temperature air source heat pump (water chilling) packages- Part 2: Heat pump (water chilling) packages for household and similar application > GB/T 25127.2-2010), it does not meet the requirement of supply/return water temperature that leading to the indoor air temperature decrease. In order to improve the indoor thermal comfortable, it is usually to take measures of increasing the numbers of radiator. Yang et al. [6] presented an application of an ASHP replaced the coal fired boiler for heating system in rural region of Beijing, China. The results indicated that the area of the radiators was increased from 19.6 m2 to 31.64 m2 when the supply/return water
temperature was decreased from 70/55ºC to 45/45ºC. It illustrated that the cost of investment and the difficult of reconstruction was increased when the coal fired boiler was replaced by the ASHP unit for space heating in rural region.
In order to improve this problem, the ASHP unit using CO2 as working fluid has been attracted much attention
due to its outstanding features with high values of thermal conductivity and heat capacity and so on. It can reduce the irreversible energy loss that leads to a higher performance because of the refrigerant temperature glide at heat rejection in gas cooler contributes to a very good temperature adaptation for heating a finite stream of water[7], resulting in a fairly large temperature lift in water without significant penalization in coefficient of performance (COP). A host of publications in recent years have demonstrated that the refrigeration/heat pump system using CO2
as working fluid is very competitive with conventional equipment for hot water heating, air-conditioning etc. regard to power consumption, compactness and cost when it operated in the transcritical region[8][9]. However, the system performance of CO2 heat pump is not desirable and shows as lower COP when it is used for space heating, especially
in the system with radiator terminal. It is because of the higher inlet water temperature at the gas cooler (i.e. the return water temperature is high) causes a large throttle loss when the refrigerant flowing through the throttle device. To track this issue, a transcritical CO2 heat pump integrated with thermal energy storage (TES) is developed.
Firstly, the schematic diagram of the proposed system is introduced. Secondly, descriptions of a simulation model using TRNSYS 17.0 are reported. This is followed by presenting simulation results and discussions on the system heating performance, and compared with the conventional ASHP system. Lastly, the representative conclusions are summarized.
2. System description
Fig. 1 shows the schematic diagram of a transcritical CO2 heat pump system integrated with TES. It mainly
consists of a CO2 heat pump unit, TES (L represents the low melt point PCM; H represents the high melt point PCM)
(10), a radiator (11), a water pump (12) and solenoid valves (8, 9, 13). The system works in two modes: (1) the heat charging mode (Fig. 1a) and (2) heat discharge mode (Fig. 1b), the detailed work process is presented as follows:
(1) Heat charging mode. The solenoid valves (8, 9) are open while the solenoid valve (13) is close. Water is first heated by the CO2 ASHP unit, after the supply water flow is divided into two streams by a 3-way damper: one
stream passes through the main pipe line and the rest is bypassed to the TES (10-H), where the two supply water streams are mixed before enters into the radiator (11) and releases the heat for space heating. The return water (the supply water after pass through radiator is regard as return water) passing through the water pump (12) and then flows through TES (10-L), the waste heat is absorbed by TES (10-L) and resulting in a further reduction in the return water temperature. Finally, the return water enters into the CO2 heat pump unit. The refrigerant temperature
Zhihua Wang et al. / Energy Procedia 158 (2019) 1380–1387 1381
Available online at www.sciencedirect.com
ScienceDirect
Energy Procedia 00 (2018) 000–000
www.elsevier.com/locate/procedia
1876-6102 Copyright © 2018 Elsevier Ltd. All rights reserved.
Selection and peer-review under responsibility of the scientific committee of the 10th International Conference on Applied Energy (ICAE2018).
10
thInternational Conference on Applied Energy (ICAE2018), 22-25 August 2018, Hong Kong,
China
Study on performance evaluation of CO
2heat pump system
integrated with thermal energy storage for space heating
ZhihuaWang
a, Yuxin Zheng
b, FenghaoWang
a*, Mengjie Song
c, Zhenjun Ma
daSchool of Human Settlements and Civil Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi, 710049, China bSchoolof Energy and Architecture, Xi’an Aeronautical University, Xi’an, 710077, China
cDepartment of Human and Engineered Environmental Studies, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan dSustainable Buildings Research Centre (SBRC), University of Wollongong, Wollongong 2522, NSW, Australia
Abstract
CO2 heat pumps have drawn a great deal of attention owing to their advantages of high efficiency and environmental friendly for heating water under low ambient temperature. However, the system performance is not desirable and shows a lower COP for space heating, especially for a radiator as heating terminal, due to the higher inlet water temperature at the gas cooler, which causes a large throttle loss when the refrigerant flow through the throttling device. To tackle this issue, a transcritical CO2 heat pump system integrated with thermal energy storage (TES) systems was developed in this paper. The heating performance of the proposed system was investigated using TRNSYS 17.0 based on a typical single family rural house located in Beijing, China. The results showed that the heating capacity and energy consumption decreased by 21 and 24%, respectively, and the heating seasonal performance factor (HSPF) of the proposed system increased by 4% in comparison with the baseline system (without TES) during the entire heating period. It has been proved that the proposed system showed a better performance for space heating with a radiator terminal at low ambient temperature.
Copyright © 2018 Elsevier Ltd. All rights reserved.
Selection and peer-review under responsibility of the scientific committee of the 10th International Conference on Applied Energy (ICAE2018).
Keywords: CO2 heat pump; TRNSYS; Simulation; Space heating; HSPF;
* Corresponding author. Tel:+86-13227006940; Fax:+86-29-83395100.
E-mail address: [email protected]
Available online at www.sciencedirect.com
ScienceDirect
Energy Procedia 00 (2018) 000–000
www.elsevier.com/locate/procedia
1876-6102 Copyright © 2018 Elsevier Ltd. All rights reserved.
Selection and peer-review under responsibility of the scientific committee of the 10th International Conference on Applied Energy (ICAE2018).
10
thInternational Conference on Applied Energy (ICAE2018), 22-25 August 2018, Hong Kong,
China
Study on performance evaluation of CO
2heat pump system
integrated with thermal energy storage for space heating
ZhihuaWang
a, Yuxin Zheng
b, FenghaoWang
a*, Mengjie Song
c, Zhenjun Ma
daSchool of Human Settlements and Civil Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi, 710049, China bSchoolof Energy and Architecture, Xi’an Aeronautical University, Xi’an, 710077, China
cDepartment of Human and Engineered Environmental Studies, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan dSustainable Buildings Research Centre (SBRC), University of Wollongong, Wollongong 2522, NSW, Australia
Abstract
CO2 heat pumps have drawn a great deal of attention owing to their advantages of high efficiency and environmental friendly for heating water under low ambient temperature. However, the system performance is not desirable and shows a lower COP for space heating, especially for a radiator as heating terminal, due to the higher inlet water temperature at the gas cooler, which causes a large throttle loss when the refrigerant flow through the throttling device. To tackle this issue, a transcritical CO2 heat pump system integrated with thermal energy storage (TES) systems was developed in this paper. The heating performance of the proposed system was investigated using TRNSYS 17.0 based on a typical single family rural house located in Beijing, China. The results showed that the heating capacity and energy consumption decreased by 21 and 24%, respectively, and the heating seasonal performance factor (HSPF) of the proposed system increased by 4% in comparison with the baseline system (without TES) during the entire heating period. It has been proved that the proposed system showed a better performance for space heating with a radiator terminal at low ambient temperature.
Copyright © 2018 Elsevier Ltd. All rights reserved.
Selection and peer-review under responsibility of the scientific committee of the 10th International Conference on Applied Energy (ICAE2018).
Keywords: CO2 heat pump; TRNSYS; Simulation; Space heating; HSPF;
* Corresponding author. Tel:+86-13227006940; Fax:+86-29-83395100.
E-mail address: [email protected]
2 Author name / Energy Procedia 00 (2018) 000–000
1. Introduction
In recent years, heat pump has been widely used for space heating because of their advantage of high efficiency, energy-saving and green environmental protection [1][2][3]. Especially in China, in order to track the issues of environmental pollution and energy crisis, the Chinese government has adopted a series of fiscal stimulus packages for promoting the use of the renewable energy technologies. The most significant measure of them is to use ASHP unit replace the coal fired boiler for space heating in northern China. It greatly reduces the consumption of fossil energy resource and greenhouse gas emission [4][5]. However, most heating systems are taken use of radiator as terminal in rural region of northern China, the design of supply/return water temperature are 75/50ºC according the Chinese Standard (Design code for heating ventilation and air conditioning of civil buildings, GB 50736-2012). The outlet water temperature of air source heat pumps (ASHPs) unit using conventional refrigerant as working fluid is only 41 ºC at the nominal design condition (-12 dry-bulb temperature /-14 wet-bulb temperature) (Chinese Standard < Low ambient temperature air source heat pump (water chilling) packages- Part 2: Heat pump (water chilling) packages for household and similar application > GB/T 25127.2-2010), it does not meet the requirement of supply/return water temperature that leading to the indoor air temperature decrease. In order to improve the indoor thermal comfortable, it is usually to take measures of increasing the numbers of radiator. Yang et al. [6] presented an application of an ASHP replaced the coal fired boiler for heating system in rural region of Beijing, China. The results indicated that the area of the radiators was increased from 19.6 m2 to 31.64 m2 when the supply/return water
temperature was decreased from 70/55ºC to 45/45ºC. It illustrated that the cost of investment and the difficult of reconstruction was increased when the coal fired boiler was replaced by the ASHP unit for space heating in rural region.
In order to improve this problem, the ASHP unit using CO2 as working fluid has been attracted much attention
due to its outstanding features with high values of thermal conductivity and heat capacity and so on. It can reduce the irreversible energy loss that leads to a higher performance because of the refrigerant temperature glide at heat rejection in gas cooler contributes to a very good temperature adaptation for heating a finite stream of water[7], resulting in a fairly large temperature lift in water without significant penalization in coefficient of performance (COP). A host of publications in recent years have demonstrated that the refrigeration/heat pump system using CO2
as working fluid is very competitive with conventional equipment for hot water heating, air-conditioning etc. regard to power consumption, compactness and cost when it operated in the transcritical region[8][9]. However, the system performance of CO2 heat pump is not desirable and shows as lower COP when it is used for space heating, especially
in the system with radiator terminal. It is because of the higher inlet water temperature at the gas cooler (i.e. the return water temperature is high) causes a large throttle loss when the refrigerant flowing through the throttle device. To track this issue, a transcritical CO2 heat pump integrated with thermal energy storage (TES) is developed.
Firstly, the schematic diagram of the proposed system is introduced. Secondly, descriptions of a simulation model using TRNSYS 17.0 are reported. This is followed by presenting simulation results and discussions on the system heating performance, and compared with the conventional ASHP system. Lastly, the representative conclusions are summarized.
2. System description
Fig. 1 shows the schematic diagram of a transcritical CO2 heat pump system integrated with TES. It mainly
consists of a CO2 heat pump unit, TES (L represents the low melt point PCM; H represents the high melt point PCM)
(10), a radiator (11), a water pump (12) and solenoid valves (8, 9, 13). The system works in two modes: (1) the heat charging mode (Fig. 1a) and (2) heat discharge mode (Fig. 1b), the detailed work process is presented as follows:
(1) Heat charging mode. The solenoid valves (8, 9) are open while the solenoid valve (13) is close. Water is first heated by the CO2 ASHP unit, after the supply water flow is divided into two streams by a 3-way damper: one
stream passes through the main pipe line and the rest is bypassed to the TES (10-H), where the two supply water streams are mixed before enters into the radiator (11) and releases the heat for space heating. The return water (the supply water after pass through radiator is regard as return water) passing through the water pump (12) and then flows through TES (10-L), the waste heat is absorbed by TES (10-L) and resulting in a further reduction in the return water temperature. Finally, the return water enters into the CO2 heat pump unit. The refrigerant temperature
1382 Author name / Energy Procedia 00 (2018) 000–000 Zhihua Wang et al. / Energy Procedia 158 (2019) 1380–1387 3
before the throttle valve (5) is decreased due to the decrease in the temperature of the return water, leading to reduce the loss of throttling, resulting in an increase in the performance of the CO2 ASHP unit.
(a) Heat charging mode (b) Heat discharging mode Fig. 1 Schematic diagram of the transcritical CO2 heat pump heating system integrated with TES.
(2) Heat discharging mode. During the night time, the performance of the CO2 ASHP unit decreases because of
the low ambient temperature. In this situation, to improve the system efficiency, the ASHP unit is turned off and the heating system should be switched to the TES heat discharge mode.
During the heat discharging mode, the ASHP unit is turned off, and the solenoid valve (13) is open while the solenoid valves (8, 9) are closed. Firstly, the return water from the radiator (11) enters into the TES (10-L) to absorb the stored heat, and it then flows through the TES (10-H) and the water temperature rises further that can meet the temperature requirement of supply water. Finally, the supply water flows through the radiator (11) and releases heat for space heating.
3. Model and boundary conditions
3.1. Building model
The building concerned in this study was a typical single family rural house located in Beijing, China. The total heated space area was 75 m2. In order to meet the requirement of indoor temperature and thermal comfort, the
indoor temperature was set 18±2°C, the house was used the model of Type 56. The thermal transmittance values of the main building elements are present in Table 1.
Table 1 Thermal transmittance values of main building elements
NO. Building envelope element U-value (W/m2•K) Structure
1 Exterior wall 0.4 Concrete brick 370mm; polystyrcne thermal insulating board50 mm 2 Roof 0.8 Cement +adhesive power polystyrene 100 mm;
3 Ground floor 0.039 Concrete slab100 mm
4 Windows (g=0.5) 2.8 Double lay plastic steel window;
3.2. CO2 heat pump model
For the CO2 heat pump performance modeling Type 941 was a performance map with the data of heating
capacity and power consumption, which were the functions of the ambient temperature and inlet water temperature in the gas cooler, for a range of testing points, i.e. the heat output and COP of the heat pump were calculated in the model through interpolation between these points.
The technical characteristics of the CO2 heat pump unit were provided by the manufacturer. The heating
capacity (Eq. 1) and power consumption (Eq. 2) can be fitted as follows:
2 2 max 5 3 5 2 5 2 5 3 19.02 0.402 0.5 0.00112 0.0088 0.0012 2.3 10 3.06 10 8.59 10 9.56 10 a in a a in in a a in a in in Q T T T T T T T T T T T (1)
4 Author name / Energy Procedia 00 (2018) 000–000
4 2 2 max 6 3 5 2 5 2 5 3 3.35 0.076 0.12 6.14 10 0.00195 0.003 2.29 10 1.57 10 1.9 10 2.62 10 a in a a in in a a in a in in P T T T T T T T T T T T T (2)
where Qmax and Pmax are the maximum CO2 heat pump unit heating capacity and power input respectively, [kW]; Ta
is the ambient temperature, [°C]; and Tin is the inlet water temperature in the gas cooler, [°C].
When ASHP unit is operated in low temperature and relative high humidity condition, frost will occur and accumulate on the outdoor heat exchanger, which decreases the system heating performances [10][11][12]. In order to take into account the effect of frost on the system performance, the CO2 heat pump model was revised based on
the literatures[13][14].
3.3. TES model
TES is a promising technology for sub-cooling that reduce the throttle loss and improve the refrigeration system performance[15][16][17]. In the present study, a cylindrical tank (tube-in-tank arrangement) filled with PCMs as the TES was considered and the mathematical model was formulated using ε- NTUmethod based on Tay’s [18] research. The model was validated using the experimental date which were presented literature [19], and the results showed that the simulated data were identical with the experimental data in trend, and the maximum relative error between the experimental data and simulated data was 7.2%.
3.4. Operation modes and control strategies
Table 2 Main TRNSYS components and parameters setting.
Name Component type Main parameters Name Component type Main parameters Building Type 56
Room air exchange rate: 0.5h-1;
Controlled temperature: 18±2°C; Controller Type 2b Th: 21°C; Tl: indoor real-time temperature Radiator Type 1231 Design capacity 5 kW; Design surface temperature:
55°C.
The upper dead bands: 5°C; ASHP Type 941 Rated heating capacity: 8 kW;
Rated heating power: 2.3 kW The lower dead bands: 1°C; Pump Type 3d Maximum flow rate 300kg/h;
Maximum power: 0.067kW;
Weather
data Type 15 Input Beijing typical meteorological years data; Flow
diverter Type 11f Control signal:0.4;
The model of the proposed system was established in TRNSYS 17.0, it was showed in Fig. 2. The majority component models used were the standard models which were provide in the TRNSYS library. The TES model, which was a nonstandard component in TRNSYS that was written in FORTRAN, according to the equations proposed by Tay et al. [18], and linked to TRNSYS to enable an integrated simulation of the house and its ASHP heating system as a whole.
The simulation period started from November 15th to March 15th of the next year. An on/off controller (Type 2b)
was employed to model the operation. Due to the fact that the ambient temperature was relative low at night which led to a reduction in the system heating capacity and COP, in order to improve the heating system performance in over heating period, the CO2 heat pump unit was operated for heating from 6:00 to 22:00, and the unit was turned
off from 22:00 to the next day of 6:00 and heated by the TES. Table 2 shows the main TRNSYS components and parameters settings.
Zhihua Wang et al. / Energy Procedia 158 (2019) 1380–1387 1383
Author name / Energy Procedia 00 (2018) 000–000 3
before the throttle valve (5) is decreased due to the decrease in the temperature of the return water, leading to reduce the loss of throttling, resulting in an increase in the performance of the CO2 ASHP unit.
(a) Heat charging mode (b) Heat discharging mode Fig. 1 Schematic diagram of the transcritical CO2 heat pump heating system integrated with TES.
(2) Heat discharging mode. During the night time, the performance of the CO2 ASHP unit decreases because of
the low ambient temperature. In this situation, to improve the system efficiency, the ASHP unit is turned off and the heating system should be switched to the TES heat discharge mode.
During the heat discharging mode, the ASHP unit is turned off, and the solenoid valve (13) is open while the solenoid valves (8, 9) are closed. Firstly, the return water from the radiator (11) enters into the TES (10-L) to absorb the stored heat, and it then flows through the TES (10-H) and the water temperature rises further that can meet the temperature requirement of supply water. Finally, the supply water flows through the radiator (11) and releases heat for space heating.
3. Model and boundary conditions
3.1. Building model
The building concerned in this study was a typical single family rural house located in Beijing, China. The total heated space area was 75 m2. In order to meet the requirement of indoor temperature and thermal comfort, the
indoor temperature was set 18±2°C, the house was used the model of Type 56. The thermal transmittance values of the main building elements are present in Table 1.
Table 1 Thermal transmittance values of main building elements
NO. Building envelope element U-value (W/m2•K) Structure
1 Exterior wall 0.4 Concrete brick 370mm; polystyrcne thermal insulating board50 mm 2 Roof 0.8 Cement +adhesive power polystyrene 100 mm;
3 Ground floor 0.039 Concrete slab100 mm
4 Windows (g=0.5) 2.8 Double lay plastic steel window;
3.2. CO2 heat pump model
For the CO2 heat pump performance modeling Type 941 was a performance map with the data of heating
capacity and power consumption, which were the functions of the ambient temperature and inlet water temperature in the gas cooler, for a range of testing points, i.e. the heat output and COP of the heat pump were calculated in the model through interpolation between these points.
The technical characteristics of the CO2 heat pump unit were provided by the manufacturer. The heating
capacity (Eq. 1) and power consumption (Eq. 2) can be fitted as follows:
2 2 max 5 3 5 2 5 2 5 3 19.02 0.402 0.5 0.00112 0.0088 0.0012 2.3 10 3.06 10 8.59 10 9.56 10 a in a a in in a a in a in in Q T T T T T T T T T T T (1)
4 Author name / Energy Procedia 00 (2018) 000–000
4 2 2 max 6 3 5 2 5 2 5 3 3.35 0.076 0.12 6.14 10 0.00195 0.003 2.29 10 1.57 10 1.9 10 2.62 10 a in a a in in a a in a in in P T T T T T T T T T T T T (2)
where Qmax and Pmax are the maximum CO2 heat pump unit heating capacity and power input respectively, [kW]; Ta
is the ambient temperature, [°C]; and Tin is the inlet water temperature in the gas cooler, [°C].
When ASHP unit is operated in low temperature and relative high humidity condition, frost will occur and accumulate on the outdoor heat exchanger, which decreases the system heating performances [10][11][12]. In order to take into account the effect of frost on the system performance, the CO2 heat pump model was revised based on
the literatures[13][14].
3.3. TES model
TES is a promising technology for sub-cooling that reduce the throttle loss and improve the refrigeration system performance[15][16][17]. In the present study, a cylindrical tank (tube-in-tank arrangement) filled with PCMs as the TES was considered and the mathematical model was formulated using ε- NTUmethod based on Tay’s [18] research. The model was validated using the experimental date which were presented literature [19], and the results showed that the simulated data were identical with the experimental data in trend, and the maximum relative error between the experimental data and simulated data was 7.2%.
3.4. Operation modes and control strategies
Table 2 Main TRNSYS components and parameters setting.
Name Component type Main parameters Name Component type Main parameters Building Type 56
Room air exchange rate: 0.5h-1;
Controlled temperature: 18±2°C; Controller Type 2b Th: 21°C; Tl: indoor real-time temperature Radiator Type 1231 Design capacity 5 kW; Design surface temperature:
55°C.
The upper dead bands: 5°C; ASHP Type 941 Rated heating capacity: 8 kW;
Rated heating power: 2.3 kW The lower dead bands: 1°C; Pump Type 3d Maximum flow rate 300kg/h;
Maximum power: 0.067kW;
Weather
data Type 15 Input Beijing typical meteorological years data; Flow
diverter Type 11f Control signal:0.4;
The model of the proposed system was established in TRNSYS 17.0, it was showed in Fig. 2. The majority component models used were the standard models which were provide in the TRNSYS library. The TES model, which was a nonstandard component in TRNSYS that was written in FORTRAN, according to the equations proposed by Tay et al. [18], and linked to TRNSYS to enable an integrated simulation of the house and its ASHP heating system as a whole.
The simulation period started from November 15th to March 15th of the next year. An on/off controller (Type 2b)
was employed to model the operation. Due to the fact that the ambient temperature was relative low at night which led to a reduction in the system heating capacity and COP, in order to improve the heating system performance in over heating period, the CO2 heat pump unit was operated for heating from 6:00 to 22:00, and the unit was turned
off from 22:00 to the next day of 6:00 and heated by the TES. Table 2 shows the main TRNSYS components and parameters settings.
1384 Zhihua Wang et al. / Energy Procedia 158 (2019) 1380–1387
Author name / Energy Procedia 00 (2018) 000–000 5
Turn
Radiation
Shading+Light Weather data
Light Thresholds Lights
Building Temperature Irradiation Type2b Type941 Type1231 Type939 Type3d-2 Flow
(a) The baseline system
Radiation Shading+Light Weather data
Light Thresholds Lights Building
Temperature output Irradiation Controler Equa ASHP Raditor
Flow diverter Flow mixer Flow diverter-2 Time Flow mixier-2 PCM_L PCM_H Water pump Performance output Turn Radiation Shading+Light Weather data
Light Thresholds Lights Building
Temperature output Irradiation Controler Equa ASHP Raditor
Flow diverter Flow mixer Flow diverter-2 Time Flow mixier-2 PCM_L PCM_H Water pump Performance output
(b) The proposed heating system
Fig. 2 TRNSYS model of the baseline and proposed heating system
4. Results and discussion
Fig. 3 shows the comparison of the heating capacity between the proposed system and baseline system at different month during the heating period. It can be seen that the heating capacity of the both system was the highest in January. This can be explained that the heat load of the house was the highest since the ambient temperature was lower than the other month. Also, the heating capacity of the proposed system was lower than that of the baseline system. In January, the heating capacity of the proposed system was 2013 kW that was 22% lower than that of the baseline system which was 2581 kW. This was because the CO2 heat pump unit was operated in day time and it was
turned off at night time. The CO2 heat pump had a high efficiency during day time as the ambient temperature was
higher than night time. Furthermore, the energy for space heating at night was from TES. During the entire heating
6 Author name / Energy Procedia 00 (2018) 000–000
period, the total heating capacity of the proposed system and baseline system were 7021 and 8868 kW respectively. It was 20.8% lower than the baseline system.
953 1673 2013 1659 723 1166 2212 2581 2033 876 7021 8868
Nov. Dec. Jan. Feb. Mar. Total 0 500 1000 1500 2000 2500 3000 H ea tin g C ap ac ity (kW ) Month Proposed System Baseline System 6500 7000 7500 8000 8500 9000 9500 To tal H eat in g C apaci ty (k W )
Fig. 3 Comparison of the heating capacity between the proposed system and baseline system during the heating period
Fig. 4 shows the comparison of the energy consumption between the proposed system and baseline system during the heating period. From the figure, it can be found that the variation trend of energy consumption of the both system showed a similarity with the trend of the heating capacity during the heating capacity. The energy consumption was the highest in January and relative low in November and March in the next year. It can be explained by two reasons, the one was that the ambient temperature in November and March was higher than in January, that leading to a low heat load. The other reason was that the heating time was the half of in January. It can also be seen that the energy consumption of the proposed system was lower than the baseline system. For instance, the energy consumptions of the both system were 887 and 1195 kW in January, and were 2968 and 3892 kW in total during the heating period. They were 26 and 23.7% lower than the baseline system. The reason for this phenomenon was that the ambient temperature in daytime was much higher than night time, leading to a high heating efficiency. Furthermore, the energy for space hearing at night time was from TES, which reduced the time of frosting accumulated on the surface of the heat exchanger.
389 725 887 679 288 505 971 1195 860 361 2968 3892
Nov. Dec. Jan. Feb. Mar. Total 0 200 400 600 800 1000 1200 En er gy Co nsu mp tio n (k W) Month Proposed System Baseline System 2600 2800 3000 3200 3400 3600 3800 4000 Tot al Energy Cons umption (kW) 2.45 2.31 2.27 2.44 2.51 2.37 2.31 2.28 2.16 2.36 2.43 2.28
Nov. Dec. Jan. Feb. Mar. HSPF 0.0 0.5 1.0 1.5 2.0 2.5 3.0 System COP Month Proposed System Baseline System
Fig. 4 Comparison of the energy consumption between the proposed system
and baseline system during the heating period. Fig. 5 Comparison of system COP and HSPF between the proposed system and baseline system during the heating period.
Zhihua Wang et al. / Energy Procedia 158 (2019) 1380–1387 1385
Author name / Energy Procedia 00 (2018) 000–000 5
Turn
Radiation
Shading+Light Weather data
Light Thresholds Lights
Building Temperature Irradiation Type2b Type941 Type1231 Type939 Type3d-2 Flow
(a) The baseline system
Radiation Shading+Light Weather data
Light Thresholds Lights Building
Temperature output Irradiation Controler Equa ASHP Raditor
Flow diverter Flow mixer Flow diverter-2 Time Flow mixier-2 PCM_L PCM_H Water pump Performance output Turn Radiation Shading+Light Weather data
Light Thresholds Lights Building
Temperature output Irradiation Controler Equa ASHP Raditor
Flow diverter Flow mixer Flow diverter-2 Time Flow mixier-2 PCM_L PCM_H Water pump Performance output
(b) The proposed heating system
Fig. 2 TRNSYS model of the baseline and proposed heating system
4. Results and discussion
Fig. 3 shows the comparison of the heating capacity between the proposed system and baseline system at different month during the heating period. It can be seen that the heating capacity of the both system was the highest in January. This can be explained that the heat load of the house was the highest since the ambient temperature was lower than the other month. Also, the heating capacity of the proposed system was lower than that of the baseline system. In January, the heating capacity of the proposed system was 2013 kW that was 22% lower than that of the baseline system which was 2581 kW. This was because the CO2 heat pump unit was operated in day time and it was
turned off at night time. The CO2 heat pump had a high efficiency during day time as the ambient temperature was
higher than night time. Furthermore, the energy for space heating at night was from TES. During the entire heating
6 Author name / Energy Procedia 00 (2018) 000–000
period, the total heating capacity of the proposed system and baseline system were 7021 and 8868 kW respectively. It was 20.8% lower than the baseline system.
953 1673 2013 1659 723 1166 2212 2581 2033 876 7021 8868
Nov. Dec. Jan. Feb. Mar. Total 0 500 1000 1500 2000 2500 3000 H ea tin g C ap ac ity (kW ) Month Proposed System Baseline System 6500 7000 7500 8000 8500 9000 9500 To tal H eat in g C apaci ty (k W )
Fig. 3 Comparison of the heating capacity between the proposed system and baseline system during the heating period
Fig. 4 shows the comparison of the energy consumption between the proposed system and baseline system during the heating period. From the figure, it can be found that the variation trend of energy consumption of the both system showed a similarity with the trend of the heating capacity during the heating capacity. The energy consumption was the highest in January and relative low in November and March in the next year. It can be explained by two reasons, the one was that the ambient temperature in November and March was higher than in January, that leading to a low heat load. The other reason was that the heating time was the half of in January. It can also be seen that the energy consumption of the proposed system was lower than the baseline system. For instance, the energy consumptions of the both system were 887 and 1195 kW in January, and were 2968 and 3892 kW in total during the heating period. They were 26 and 23.7% lower than the baseline system. The reason for this phenomenon was that the ambient temperature in daytime was much higher than night time, leading to a high heating efficiency. Furthermore, the energy for space hearing at night time was from TES, which reduced the time of frosting accumulated on the surface of the heat exchanger.
389 725 887 679 288 505 971 1195 860 361 2968 3892
Nov. Dec. Jan. Feb. Mar. Total 0 200 400 600 800 1000 1200 En er gy Co nsu mp tio n (k W) Month Proposed System Baseline System 2600 2800 3000 3200 3400 3600 3800 4000 Tot al Energy Cons umption (kW) 2.45 2.31 2.27 2.44 2.51 2.37 2.31 2.28 2.16 2.36 2.43 2.28
Nov. Dec. Jan. Feb. Mar. HSPF 0.0 0.5 1.0 1.5 2.0 2.5 3.0 System COP Month Proposed System Baseline System
Fig. 4 Comparison of the energy consumption between the proposed system
and baseline system during the heating period. Fig. 5 Comparison of system COP and HSPF between the proposed system and baseline system during the heating period.
1386 Author name / Energy Procedia 00 (2018) 000–000 Zhihua Wang et al. / Energy Procedia 158 (2019) 1380–1387 7
for the heating performance of ASHP unit. The system COP is defined as a ratio of the heating capacity of the system to energy consumption including power consumption of compressor, water pump and blower in every month. For the entire heating period, the higher the HSPF rating of a unit, the more energy efficiency it is. The HSPF, defined as a ratio of heating over the heating season to power consumption used, is expressed as in Eq. (3).
total 0 total 0 d = d Q HSPF P
(3)where, Qtotal is the total heating capacity, [kWh]; Ptotal is the total energy consumption including heat pump
(compressor + control + blower) and water pump, [kWh].
Fig. 5 gives the system COP of the proposed system and baseline system during the heating period. It can be seen in this figure, the system COP and HSPF of the proposed system were higher than that of the baseline system. For instance, the system COPs of the both system were 2.27 and 2.16 respectively, and the HSPFs were 2.37 and 2.28. They were 5.1 and 3.9% higher than the baseline system. It can be explained by the fact that the proposed system provided a higher hearing capacity than the baseline system. On the other hand, the proposed system was operated in day time that reduced the frost accumulated on the outdoor heat exchanger, resulted in a reduction in power energy for defrosting. The results showed that the proposed system provided an important in performance as compared to the baseline system in cold region.
5. Conclusions
In this paper, a CO2 heat pump system integrated with TES was developed, the system performance for space
heating in a rural single family house, located in Beijing, China, was investigated using TRNSYS 17.0 software. The results showed that the heating capacity and energy consumption of the proposed system were 8868 and 2968 kWh, respectively, during the entire heating period, which were decreased by 21 and 24%, respectively, in comparison with the baseline system. The HSPF of the proposed system was 2.37 during the entire heating period, which was increased by 4% compared with the baseline system.
Acknowledgements
The work was supported by National Natural Science Foundation of China (No. 51606139) and China Postdoctoral Science Foundation (No. 2016M590950 and No. 2017T100753), Shaanxi Province Postdoctoral Science Foundation (No. 2017BSHTDZZ17) and Xi’an Municipal Science and Technology Projects (No. 2017078CG/RC041(XAJD001) and No. 201805032YD10CG16(6)).
References
[1] H. Willem, Y. Lin, A. Lekov. Review of energy efficiency and system performance of residential heat pump water heaters, Energ. Buildings. 143 (2017)191-201.
[2] L. Zhang, Y.Q. Jiang, J.K. Dong. Advances in vapor compression air source heat pump system in cold regions: A review, Renew. Sust. Energ. Rev. 81(2018) 353-365.
[3] M. Song, S. Deng, C. Dang, et al. Review on improvement for air source heat pump units during frosting and defrosting, Appl. Energy, 211 (2018) 1150-1170.
[4] Z.H. Wang, F.H. Wang, Z.J. Ma, et al. Field test and numerical investigation on the heat transfer characteristics and optimal design of the heat exchangers of a deep borehole ground source heat pump system, Energy Convers. Manag. 153 (2017) 603–615.
[5] M.J. Song, K. Wang, S.C. Liu. Techno-economic analysis on frosting and defrosting operations of an air source heat pump unit applied in a typical cold city. Energ. Buildings, 162(2018)65-76.
[6] X. Yang, D.Y. Li, S. Zhang, et al. Application of the low temperature air-source heat pump and radiator heating system in rural areas of Beijing, Building energy efficiency, 43(2015) 100-104(In Chinese).
[7] S.B. Riffat, C.F. Alfonso, A.C. Oliveira, et al. Natural refrigerant refrigeration and air-conditioning systems, Appl. Therm. Eng. 17 (1996) 33–41.
[8] G. Lorentzen, J. Pettersen. A new efficient and ambientally benign system for car air conditioning, Int. J. Refrigeration, 16 (1993) 4–12. [9] G. Lorentzen, The use of natural refrigerant: a complete solution to the CFC/HCFC predicament, Int. J. Refrigeration, 18 (1994) 190–197.
8 Author name / Energy Procedia 00 (2018) 000–000
[10] Z.H. Wang, Y.X. Zheng, F.H. Wang, et al. Experimental analysis on a novel frost-free air source heat pump water heater system, Appl. Therm. Eng. 70 (2014)808–816.
[11] M.J. Song, C.B. Dang, Review on the measurement and calculation of frost characteristics, Int. J. Heat Mass Tran. 124 (2018) 586–614 [12] Z.H. Wang, F.H Wang, Z.J. Ma, et al. Experimental performance analysis and evaluation of a novel frost-free air source heat pump system,
Energ. Buildings 175(2018)69-77.
[13] T. Afjei, M. Wetter, Compressor heat pump including frost and cycle losses, Version 1.1: model description and implementing into TRNSYS. June 23, 1997, Zentralschweizerisches Technikum Luzern, Available from: http://www.transsolar.com/software/download/en /tstype 401 en.pdf (accessed 22.01.11), (Online).
[14] L. Cabrol, P. Rowley, Towards low carbon homes - A simulation analysis of building-integrated air-source heat pump systems, Energy Build.48 (2012) 127-136
[15] Z.H. Wang, F.H. Wang, X.K. Wang, et al., Dynamic character investigation and optimization of a novel air-source heat pump system, Appl. Therm. Eng. 111(2017)122–133.
[16] M.J. Song, F.X. Niu, N. Mao, et al. Review on building energy performance improvement using phase change materials, Energ. Buildings 158(2018)776-793.
[17] D. Qi, L. Pu, F.T Sun, et al. Numerical investigation on thermal performance of ground heat exchangers using phase change material as grout for Ground Source Heat Pump System, Appl. Therm. Eng. 106(2016)1023–1032.
[18] N.H.S. Tay, M. Belusko, F. Bruno, An effectiveness-NTU technique for characterising tube-in-tank phase change thermal energy storage systems, Appl. Energy, 91 (2012) 309-319.
[19] X.G. Li, W. Li, Y.L. Guo. Experimental study on the heat storage and heat release by paraffin phase change outside tube, Journal of Engineering Thermophysics,V30 (2009) 1223-1225(In Chinese).
Zhihua Wang et al. / Energy Procedia 158 (2019) 1380–1387 1387
Author name / Energy Procedia 00 (2018) 000–000 7
for the heating performance of ASHP unit. The system COP is defined as a ratio of the heating capacity of the system to energy consumption including power consumption of compressor, water pump and blower in every month. For the entire heating period, the higher the HSPF rating of a unit, the more energy efficiency it is. The HSPF, defined as a ratio of heating over the heating season to power consumption used, is expressed as in Eq. (3).
total 0 total 0 d = d Q HSPF P
(3)where, Qtotal is the total heating capacity, [kWh]; Ptotal is the total energy consumption including heat pump
(compressor + control + blower) and water pump, [kWh].
Fig. 5 gives the system COP of the proposed system and baseline system during the heating period. It can be seen in this figure, the system COP and HSPF of the proposed system were higher than that of the baseline system. For instance, the system COPs of the both system were 2.27 and 2.16 respectively, and the HSPFs were 2.37 and 2.28. They were 5.1 and 3.9% higher than the baseline system. It can be explained by the fact that the proposed system provided a higher hearing capacity than the baseline system. On the other hand, the proposed system was operated in day time that reduced the frost accumulated on the outdoor heat exchanger, resulted in a reduction in power energy for defrosting. The results showed that the proposed system provided an important in performance as compared to the baseline system in cold region.
5. Conclusions
In this paper, a CO2 heat pump system integrated with TES was developed, the system performance for space
heating in a rural single family house, located in Beijing, China, was investigated using TRNSYS 17.0 software. The results showed that the heating capacity and energy consumption of the proposed system were 8868 and 2968 kWh, respectively, during the entire heating period, which were decreased by 21 and 24%, respectively, in comparison with the baseline system. The HSPF of the proposed system was 2.37 during the entire heating period, which was increased by 4% compared with the baseline system.
Acknowledgements
The work was supported by National Natural Science Foundation of China (No. 51606139) and China Postdoctoral Science Foundation (No. 2016M590950 and No. 2017T100753), Shaanxi Province Postdoctoral Science Foundation (No. 2017BSHTDZZ17) and Xi’an Municipal Science and Technology Projects (No. 2017078CG/RC041(XAJD001) and No. 201805032YD10CG16(6)).
References
[1] H. Willem, Y. Lin, A. Lekov. Review of energy efficiency and system performance of residential heat pump water heaters, Energ. Buildings. 143 (2017)191-201.
[2] L. Zhang, Y.Q. Jiang, J.K. Dong. Advances in vapor compression air source heat pump system in cold regions: A review, Renew. Sust. Energ. Rev. 81(2018) 353-365.
[3] M. Song, S. Deng, C. Dang, et al. Review on improvement for air source heat pump units during frosting and defrosting, Appl. Energy, 211 (2018) 1150-1170.
[4] Z.H. Wang, F.H. Wang, Z.J. Ma, et al. Field test and numerical investigation on the heat transfer characteristics and optimal design of the heat exchangers of a deep borehole ground source heat pump system, Energy Convers. Manag. 153 (2017) 603–615.
[5] M.J. Song, K. Wang, S.C. Liu. Techno-economic analysis on frosting and defrosting operations of an air source heat pump unit applied in a typical cold city. Energ. Buildings, 162(2018)65-76.
[6] X. Yang, D.Y. Li, S. Zhang, et al. Application of the low temperature air-source heat pump and radiator heating system in rural areas of Beijing, Building energy efficiency, 43(2015) 100-104(In Chinese).
[7] S.B. Riffat, C.F. Alfonso, A.C. Oliveira, et al. Natural refrigerant refrigeration and air-conditioning systems, Appl. Therm. Eng. 17 (1996) 33–41.
[8] G. Lorentzen, J. Pettersen. A new efficient and ambientally benign system for car air conditioning, Int. J. Refrigeration, 16 (1993) 4–12. [9] G. Lorentzen, The use of natural refrigerant: a complete solution to the CFC/HCFC predicament, Int. J. Refrigeration, 18 (1994) 190–197.
8 Author name / Energy Procedia 00 (2018) 000–000
[10] Z.H. Wang, Y.X. Zheng, F.H. Wang, et al. Experimental analysis on a novel frost-free air source heat pump water heater system, Appl. Therm. Eng. 70 (2014)808–816.
[11] M.J. Song, C.B. Dang, Review on the measurement and calculation of frost characteristics, Int. J. Heat Mass Tran. 124 (2018) 586–614 [12] Z.H. Wang, F.H Wang, Z.J. Ma, et al. Experimental performance analysis and evaluation of a novel frost-free air source heat pump system,
Energ. Buildings 175(2018)69-77.
[13] T. Afjei, M. Wetter, Compressor heat pump including frost and cycle losses, Version 1.1: model description and implementing into TRNSYS. June 23, 1997, Zentralschweizerisches Technikum Luzern, Available from: http://www.transsolar.com/software/download/en /tstype 401 en.pdf (accessed 22.01.11), (Online).
[14] L. Cabrol, P. Rowley, Towards low carbon homes - A simulation analysis of building-integrated air-source heat pump systems, Energy Build.48 (2012) 127-136
[15] Z.H. Wang, F.H. Wang, X.K. Wang, et al., Dynamic character investigation and optimization of a novel air-source heat pump system, Appl. Therm. Eng. 111(2017)122–133.
[16] M.J. Song, F.X. Niu, N. Mao, et al. Review on building energy performance improvement using phase change materials, Energ. Buildings 158(2018)776-793.
[17] D. Qi, L. Pu, F.T Sun, et al. Numerical investigation on thermal performance of ground heat exchangers using phase change material as grout for Ground Source Heat Pump System, Appl. Therm. Eng. 106(2016)1023–1032.
[18] N.H.S. Tay, M. Belusko, F. Bruno, An effectiveness-NTU technique for characterising tube-in-tank phase change thermal energy storage systems, Appl. Energy, 91 (2012) 309-319.
[19] X.G. Li, W. Li, Y.L. Guo. Experimental study on the heat storage and heat release by paraffin phase change outside tube, Journal of Engineering Thermophysics,V30 (2009) 1223-1225(In Chinese).