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Research Article

Analysis on the optimum matching of collector and storage size of solar water heating systems in building space heating applications

Fang Guo1Junyue Zhang2Ming Shan1Xudong Yang1( )
Department of Building Science, School of Architecture, Tsinghua University, Beijing 100084, China
Chifeng Heran Energy-Saving Science and Technology Co., LTD, Xincheng District, Chifeng 024000, Inner Mongolia, China
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Abstract

The overall thermal performance of a solar water heating (SWH) system is significantly affected by the mismatch between the temporal distribution of solar radiation and the heating load. Therefore, a favorable correlation between the collector and storage size should be generated based on the dynamic characteristics of the system. This study focuses on the optimal matching of solar collector area with storage volume for an SWH system (with short-term heat storage capability) for a space heating application. A simplified model of an SWH system based on hourly energy flow is established. System control strategy is integrated into the model in a simple manner without sacrificing computing speed. Based on this model, the combined effect of collector area and storage volume on system thermal performance and economy is analyzed, and a simple procedure for determining the optimal system size is illustrated. A case study showed that for an SWH system utilized for space heating application, the optimized ratio between storage volume and collector area is dependent on the total collector area of the system, and is dominated by the requirement of overheating prevention. The minimum storage volume for a specific collector area that can prevent the storage tank from being overheated can be adopted as the optimum storage volume for that collector area. The optimum ratio between storage volume and collector area increases as the collector area increases. Therefore, a trade-off between heat collection and heat loss has to be made while attempting to increase solar fraction by improving collector area.

References

 
MR Abou-Zeid, MM Hawas (1983). Economic evaluation and optimization of solar systems for space and domestic water heating. Energy Conversion and Management, 23: 251–256.
 
ASHRAE (1988). Active Solar Heating Systems Design Manual. Atlanta, GA, USA: American Society of Heating, Refrigerating and Air-Conditioning Engineers.
 
F Ardente, G Beccali, M Cellura, V Lo Brano (2005). Life cycle assessment of a solar thermal collector. Renewable Energy, 30: 1031–1054.
 
DM Atia, FH Fahmy, NM Ahmed, HT Dorrah (2012). Optimal sizing of a solar water heating system based on a genetic algorithm for an aquaculture system. Mathematical and Computer Modelling, 55: 1436–1449.
 
WE Buckles, SA Klein (1980). Analysis of solar domestic hot water heaters. Solar Energy, 25: 417–424.
 
K Çomaklı, U Çakır, M Kaya, K Bakirci (2012). The relation of collector and storage tank size in solar heating systems. Energy Conversion and Management, 63: 112–117.
 
RG Courtney (1977). A computer study of solar water heating. Building and Environment, 12: 73–80.
 
CA Cruickshank, SJ Harrison (2010). Heat loss characteristics for a typical solar domestic hot water storage. Energy and Buildings, 42: 1703–1710.
 
J Deng, X Yang, R Ma, Y Xu (2016). Study on the thermodynamic characteristic matching property and limit design principle of general flat plate solar air collectors (FPSACs). Building Simulation, 9: 529–540.
 
J Deng, X Yang, Y Xu, M Yang (2017). Entransy analysis on the thermal performance of flat plate solar air collectors. Building Simulation, 10: 193–202.
 
CD Barley, CB Winn (1978). Optimal sizing of solar collectors by the method of relative areas. Solar Energy, 21: 279–289.
 
JA Duffie, WA Beckman (2013). Solar Engineering of Thermal Processes, 4th edn. Hoboken, NJ, USA: John Wiley & Sons.
 
Y Hang, L Du, M Qu, S Peeta (2013). Multi-objective optimization of integrated solar absorption cooling and heating systems for medium-sized office buildings. Renewable Energy, 52: 67–78.
 
MM Hassan, Y Beliveau (2008). Modeling of an integrated solar system. Building and Environment, 43: 804–810.
 
A Hobbi, K Siddiqui (2009). Optimal design of a forced circulation solar water heating system for a residential unit in cold climate using TRNSYS. Solar Energy, 83: 700–714.
 
S Kalogirou (2009). Thermal performance, economic and environmental life cycle analysis of thermosiphon solar water heaters. Solar Energy, 83: 39–48.
 
SA Klein, WA Beckman (1979). A general design method for closed- loop solar energy systems. Solar Energy, 22: 269–282.
 
S Klein, W Beckman, J Duffie (1976). A design procedure for solar heating systems. Solar Energy, 18: 113–127.
 
GN Kulkarni, SB Kedare, S Bandyopadhyay (2006). The concept of design space for sizing solar hot water systems. In: Proceedings of International Congress on Renewable Energy, Hyderabad, India, pp. 302–305.
 
GN Kulkarni, SB Kedare, S Bandyopadhyay (2007). Determination of design space and optimization of solar water heating systems. Solar Energy, 81: 958–968.
 
T Mezni, MA Zainine, MA Dakhlaoui, A Zghal (2017). Presentation and experimental validation of a solar DHW installation sizing control tool. International Journal of Hydrogen Energy, 42: 28958–28972.
 
O Ozgener, A Hepbasli (2007). A parametrical study on the energetic and exergetic assessment of a solar-assisted vertical ground-source heat pump system used for heating a greenhouse. Building and Environment, 42: 11–24.
 
G Pei, G Li, X Zhou, J Ji, Y Su (2012). Experimental study and exergetic analysis of a CPC-type solar water heater system using higher-temperature circulation in winter. Solar Energy, 86: 1280–1286.
 
Decreto Real (2009). Código técnico de la edificación. Madrid, Spain: Boletín Oficial del Estado.
 
MC Rodriguez-Hidalgo, PA Rodriguez-Aumente, A Lecuona, M Legrand, R Ventas (2012). Domestic hot water consumption vs. solar thermal energy storage: The optimum size of the storage tank. Applied Energy, 97: 897–906.
 
S Sillman (1981). The Trade-Off Between Collector Area, Storage Volume, and Building Conservation in Annual Storage Solar Heating Systems. Golden, CO, USA: Solar Energy Research Institute.
 
D Wang, Y Liu (2010). Study on heat storage tank of solar heating system. In: Proceedings of International Conference on Digital Manufacturing and Automation (ICDMA), Changsha, China, pp. 493–497.
 
J Xia, K Zhu, Y Jiang (2016). Method for integrating low-grade industrial waste heat into district heating network. Building Simulation, 9: 153–163.
 
C Yan, S Wang, Z Ma, W Shi (2015). A simplified method for optimal design of solar water heating systems based on life-cycle energy analysis. Renewable Energy, 74: 271–278.
 
C Yan, W Shi, X Li, Y Zhao (2016). Optimal design and application of a compound cold storage system combining seasonal ice storage and chilled water storage. Applied Energy, 171: 1–11.
 
D Yan, J Xia, W Tang, F Song, X Zhang, Y Jiang (2008). DeST—An integrated building simulation toolkit Part I: Fundamentals. Building Simulation, 1: 95–110.
 
MA Zainine, MA Dakhlaoui, T Mezni, A Guizani (2016). Energetic and economic impact of using bioclimatic design technics and of solar water preheating system integration on tertiary building. International Journal of Renewable Energy Research, 6: 787–794.
 
MA Zainine, T Mezni, MA Dakhlaoui, A Guizani (2017). Energetic performance and economic analysis of a solar water heating system for different flow rates values: A case study. Solar Energy, 147: 164–180.
 
DL Zhao, Y Li, YJ Dai, RZ Wang (2011). Optimal study of a solar air heating system with pebble bed energy storage. Energy Conversion and Management, 52: 2392–2400.
Building Simulation
Pages 549-560
Cite this article:
Guo F, Zhang J, Shan M, et al. Analysis on the optimum matching of collector and storage size of solar water heating systems in building space heating applications. Building Simulation, 2018, 11(3): 549-560. https://doi.org/10.1007/s12273-018-0429-9

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Received: 19 July 2017
Revised: 13 December 2017
Accepted: 22 December 2017
Published: 17 January 2018
© Tsinghua University Press and Springer-Verlag GmbH Germany,part of Springer Nature 2018
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