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Analysis of district cooling system with chilled water thermal storage in hot summer and cold winter area of China

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  • Building Systems and Components
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Abstract

A typical district cooling system (DCS) with a chilled water storage system is analyzed in hot summer and cold winter area in China. An analysis method concerning operation modes is proposed based on measured data, which is obtained by long term monitoring and on-site measurements of cooling season. The DCS operates at partial load for a large proportion of the cooling time; in particular, the partial-load rate (PLR) can be less than 25% for more than 50% of the total cooling season. In the night, PLR reaches 5% of the peak load. Thus, it is critical to achieve efficient operation under partial-load conditions of the DCS. Installation of chilled water thermal storage presents a solution to improve the working condition of the DCS and chillers. From the beginning to the end of the cooling season, the DCS operation can be summarized by typical operation modes according to cooling demand and chiller operation. For each mode, the base-load chiller operated at a high-load rate, with an average value of 0.88, and the coefficient of performance (COP) remained in a small range, between 4.2 and 5.2. The average energy efficiency ratio (EER) of the DCS for the cooling season was 3.65 and 3.81 for Years A and B, respectively. With respect to the economics, chillers used 90.2% of off-peak electricity, at only half the price of peak electricity.

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Abbreviations

c p :

equivalent specific heat of water at constant pressure (J/(kg·K))

COP:

coefficient of performance (—)

EER:

energy efficiency ratio (—)

P :

power input (kW)

PLR:

partial-load rate (%)

Q :

heat flow (kW)

Q d :

daily cooling demand (MWh)

Q h :

hourly cooling demand (MWh)

T :

temperature (°C)

UR:

unbalance rate (%)

G :

volume flow rate of water (m3/h)

ρ :

density of water (kg/m3)

φ :

load rate of chiller (—)

con:

condenser

eva:

evaporator

wp:

water pump

References

  • Building Energy Conservation Research Center of Tsinghua University (2009). 2009 Annual Report on China Building Energy Efficiency. Beijing: China Architecture and Building Press. (in Chinese)

    Google Scholar 

  • Abou-Ziyan HZ, Alajmi AF (2014). Effect of load-sharing operation strategy on the aggregate performance of existed multiple-chiller systems. Applied Energy, 135: 329–338.

    Article  Google Scholar 

  • Baetens R, Coninck RD, Jorissen F, Picard D, Helsen L, Saelens D (2015). OpenIDEAS—An open framework for integrated district energy simulations. In: Proceeding of the 14th International IBPSA Building Simulation Conference, Hyderabad, India, pp. 347–354.

  • Bergero FM, Casella F, Kofman E, Fernández J (2018). On the efficiency of quantization-based integration methods for building simulation. Building Simulation, 11: 405–418.

    Article  Google Scholar 

  • Brum M, Erickson P, Jenkins B, Kornbluth K (2015). A comparative study of district and individual energy systems providing electrical-based heating, cooling, and domestic hot water to a low-energy use residential community. Energy and Buildings, 92: 306–312.

    Article  Google Scholar 

  • Chan ALS, Hanby VI, Chow TT (2007). Optimization of distribution piping network in district cooling system using genetic algorithm with local search. Energy Conversion and Management, 48: 2622–2629.

    Article  Google Scholar 

  • Chow TT, Au WH, Yau R, Cheng V, Chan A, Fong KF (2004a). Applying district-cooling technology in Hong Kong. Applied Energy, 79: 275–289.

    Article  Google Scholar 

  • Chow TT, Chan ALS, Song CL (2004b). Building-mix optimization in district cooling system implementation. Applied Energy, 77: 1–13.

    Article  Google Scholar 

  • Chua KJ, Chou SK, Yang WM, Yan J (2013). Achieving better energy-efficient air conditioning — A review of technologies and strategies. Applied Energy, 104: 87–104.

    Article  Google Scholar 

  • Deng J, Wang RZ, Han GY (2011). A review of thermally activated cooling technologies for combined cooling, heating and power systems. Progress in Energy and Combustion Science, 37: 172–203.

    Article  Google Scholar 

  • Dincer I (2002). On thermal energy storage systems and applications in buildings. Energy and Buildings, 34: 377–388.

    Article  Google Scholar 

  • Dincer I, Rosen MA (1999). Energy, environment and sustainable development. Applied Energy, 64: 427–440.

    Article  Google Scholar 

  • Du JS, Fu L, Jiang Y (2003). Application of cool storage tank in district cooling system. Journal of HV & AC, 33(2): 97–99. (in Chinese)

    Google Scholar 

  • Duanmu L, Wang ZJ, Zhai ZJ, Li XL (2013). A simplified method to predict hourly building cooling load for urban energy planning. Energy and Buildings, 58: 281–291.

    Article  Google Scholar 

  • Fu JP, Wu SS (2011). The energy planning of Guangzhou University Town. Building Energy & Environment, 30(4): 42–44. (in Chinese)

    Google Scholar 

  • Gang WJ, Wang SW, Gao DC, Xiao F (2015). Performance assessment of district cooling systems for a new development district at planning stage. Applied Energy, 140: 33–43.

    Article  Google Scholar 

  • Gang WJ, Wang SW, Xiao F, Gao DC (2016). District cooling systems: Technology integration, system optimization, challenges and opportunities for applications. Renewable and Sustainable Energy Reviews, 53: 253–264.

    Article  Google Scholar 

  • Guo CM, Chu SL, You YW (2018). The theoretical study and field measurement of energy efficiency on district cooling system. Journal of Tianjin Chengjian University, 24(1): 62–67. (in Chinese)

    Google Scholar 

  • Hani A, Koiv TA (2012). The preliminary research of sea water district heating and cooling for Tallinn coastal area. Smart Grid and Renewable Energy, 3: 246–252.

    Article  Google Scholar 

  • Heier J, Bales C, Martin V (2015). Combining thermal energy storage with buildings—A review. Renewable and Sustainable Energy Reviews, 42: 1305–1325.

    Article  Google Scholar 

  • Hui RN, Xu Q, Li DY, Xu WF (2007). The existing condition and development of the district cooling system in China. Building Energy Efficiency, 35(3): 47–50. (in Chinese)

    Google Scholar 

  • Jiang XQ, Long WD, Li M (2010). Hourly cooling load analysis and prediction in a district cooling system. Journal of Central South University, 41(1): 357–363. (in Chinese)

    Google Scholar 

  • Li XL, Duanmu L, Shu HW (2010). Optimal design of district heating and cooling pipe network of seawater-source heat pump. Energy and Buildings, 42: 100–104.

    Article  Google Scholar 

  • Ma HQ, Long WD (2008). Energy efficiency of district cooling systems. Journal of HV & AC, 38(11): 59–64. (in Chinese)

    Google Scholar 

  • Ma HQ, Long WD (2009). Present status and prospects of district cooling system. Journal of HV & AC, 39(10): 52–59. (in Chinese)

    Google Scholar 

  • Nagota T, Shimoda Y, Mizuno M (2008). Verification of the energy-saving effect of the district heating and cooling system—Simulation of an electric-driven heat pump system. Energy and Buildings, 40: 732–741.

    Article  Google Scholar 

  • Okitsu J, Khamis MFi, Zakaria N, Naono K, Haruna AA (2015). Toward an architecture for integrated gas district cooling with data center control to reduce CO2 emission. Sustainable Computing: Informatics and Systems, 6: 39–47.

    Google Scholar 

  • Peng YH, Lian ZW, Fu HM (2011). Discussion on the energy efficiency of district cooling system based on load characteristics. Journal of Donghua University, 37(1): 109–114. (in Chinese)

    Google Scholar 

  • Powell KM, Cole WJ, Ekarika UF, Edgar TF (2013). Optimal chiller loading in a district cooling system with thermal energy storage. Energy, 50: 445–453.

    Article  Google Scholar 

  • Rosen A, Le N, Dincer I (2004). Exergetic analysis of cogeneration-based district energy systems. Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, 218: 369–375.

    Google Scholar 

  • Sameti M, Haghighat F (2017). Optimization approaches in district heating and cooling thermal network. Energy and Buildings, 140: 121–130.

    Article  Google Scholar 

  • Seeley RS (1996). District cooling gets hot. Mechanical Engineering, 118(7): 82–84.

    Google Scholar 

  • Sehar F, Rahman S, Pipattanasomporn M (2012). Impacts of ice storage on electrical energy consumptions in office buildings. Energy and Buildings, 51: 255–262.

    Article  Google Scholar 

  • Seo BM, Lee KH (2016). Detailed analysis on part load ratio characteristics and cooling energy saving of chiller staging in an office building. Energy and Buildings, 119: 309–322.

    Article  Google Scholar 

  • Shimoda Y, Nagota T, Isayama N, Mizuno M (2008). Verification of energy efficiency of district heating and cooling system by simulation considering design and operation parameters. Building and Environment, 43: 569–577.

    Article  Google Scholar 

  • Wu XQ, Chen ZQ (2017). Performance analysis of a district cooling system based on operation data. Procedia Engineering, 205: 3117–3122.

    Article  Google Scholar 

  • Xiao HQ (2009). Study on optimal analysis of district cooling system of high-rise residential area in Nanjing. Master Thesis, Nanjing University of Science and Technology, China. (in Chinese)

    Google Scholar 

  • Yau YH, Rismanchi B (2012). A review on cool thermal storage technologies and operating strategies. Renewable and Sustainable Energy Reviews, 16: 787–797.

    Article  Google Scholar 

  • Yin P (2013). Research of combined cooling heating and power systems (4): District cooling and heating. Journal of HV & AC, 43(7): 10–17. (in Chinese)

    Google Scholar 

  • Yu FW, Chan KT (2007). Optimum load sharing strategy for multiple-chiller systems serving air-conditioned buildings. Building and Environment, 42: 1581–1593.

    Article  Google Scholar 

  • Zhu YX, Wang G, Jiang Y (2008). Energy consumption analysis of district cooling systems. Journal of HV & AC, 38(1): 36–40. (in Chinese)

    Google Scholar 

Download references

Acknowledgements

This study was supported by the China National Key R&D Program (No. 2016YFC0700100).

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Authors and Affiliations

  1. School of Energy and Environment, Southeast University, Nanjing, 210096, China

    Lun Zhang, Jun Jing & Xiaosong Zhang

  2. Department of Building Science, School of Architecture, Tsinghua University, Beijing, 100084, China

    Mengfan Duan, Mingyang Qian & Da Yan

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  1. Lun Zhang
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  2. Jun Jing
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  3. Mengfan Duan
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  4. Mingyang Qian
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  5. Da Yan
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  6. Xiaosong Zhang
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Correspondence to Lun Zhang.

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Zhang, L., Jing, J., Duan, M. et al. Analysis of district cooling system with chilled water thermal storage in hot summer and cold winter area of China. Build. Simul. 13, 349–361 (2020). https://doi.org/10.1007/s12273-019-0581-x

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  • DOI: https://doi.org/10.1007/s12273-019-0581-x

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