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Influence of the domestic hot-water daily draw-off profile on the performance of a hot-water store

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  • Spur, Roman
  • Fiala, Dusan
  • Nevrala, Dusan
  • Probert, Doug

Abstract

An enhanced TRNSYS simulation model, NEM, of the behaviour of a domestic hot-water (DHW) store, with an immersed heat-exchanger (HX), has been developed and validated. This model simulates the dynamic heat-depletion and recovery processes in the immersed HX and predicts the transient temperature-patterns for various DHW draw-off versus time profiles. Realistic daily profiles (RDPs), based on field studies, were developed to provide representative draw-off patterns for the testing of thermal stores and simulation studies. The effects of these RDPs and five other existing profiles on the store's performance are analysed using the enhanced model. The simulation results indicate the importance of the HX's recovery, as well as the number, type and time of occurrence of the draw-offs in the profile, on the thermal store's performance. It is concluded that RDP profiles should be used in the performance testing of thermal stores to obtain results that reflect conditions experienced in the field.

Suggested Citation

  • Spur, Roman & Fiala, Dusan & Nevrala, Dusan & Probert, Doug, 2006. "Influence of the domestic hot-water daily draw-off profile on the performance of a hot-water store," Applied Energy, Elsevier, vol. 83(7), pages 749-773, July.
    • Handle: RePEc:eee:appene:v:83:y:2006:i:7:p:749-773
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    1. -, 1998. "Políticas contra la pobreza en Honduras," Sede de la CEPAL en Santiago (Estudios e Investigaciones) 31056, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
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    1. Guo, J.J. & Wu, J.Y. & Wang, R.Z. & Li, S., 2011. "Experimental research and operation optimization of an air-source heat pump water heater," Applied Energy, Elsevier, vol. 88(11), pages 4128-4138.
    2. Meireles, I. & Sousa, V. & Bleys, B. & Poncelet, B., 2022. "Domestic hot water consumption pattern: Relation with total water consumption and air temperature," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).
    3. Bertrand, Alexandre & Aggoune, Riad & Maréchal, François, 2017. "In-building waste water heat recovery: An urban-scale method for the characterisation of water streams and the assessment of energy savings and costs," Applied Energy, Elsevier, vol. 192(C), pages 110-125.
    4. Kazmi, H. & D’Oca, S. & Delmastro, C. & Lodeweyckx, S. & Corgnati, S.P., 2016. "Generalizable occupant-driven optimization model for domestic hot water production in NZEB," Applied Energy, Elsevier, vol. 175(C), pages 1-15.
    5. Kumar, Naveen & Chavda, Tilak & Mistry, H.N., 2010. "A truncated pyramid non-tracking type multipurpose domestic solar cooker/hot water system," Applied Energy, Elsevier, vol. 87(2), pages 471-477, February.
    6. Yildiz, Baran & Bilbao, Jose I. & Roberts, Mike & Heslop, Simon & Dore, Jonathon & Bruce, Anna & MacGill, Iain & Egan, Renate J. & Sproul, Alistair B., 2021. "Analysis of electricity consumption and thermal storage of domestic electric water heating systems to utilize excess PV generation," Energy, Elsevier, vol. 235(C).
    7. Poppi, Stefano & Bales, Chris & Haller, Michel Y. & Heinz, Andreas, 2016. "Influence of boundary conditions and component size on electricity demand in solar thermal and heat pump combisystems," Applied Energy, Elsevier, vol. 162(C), pages 1062-1073.
    8. Zhou, Xin & Tian, Shuai & An, Jingjing & Yan, Da & Zhang, Lun & Yang, Junyan, 2022. "Modeling occupant behavior’s influence on the energy efficiency of solar domestic hot water systems," Applied Energy, Elsevier, vol. 309(C).
    9. Fuentes, E. & Arce, L. & Salom, J., 2018. "A review of domestic hot water consumption profiles for application in systems and buildings energy performance analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1530-1547.
    10. Omu, Akomeno & Hsieh, Shanshan & Orehounig, Kristina, 2016. "Mixed integer linear programming for the design of solar thermal energy systems with short-term storage," Applied Energy, Elsevier, vol. 180(C), pages 313-326.
    11. Han, Y.M. & Wang, R.Z. & Dai, Y.J., 2009. "Thermal stratification within the water tank," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(5), pages 1014-1026, June.
    12. Bagdanavicius, Audrius & Jenkins, Nick, 2013. "Power requirements of ground source heat pumps in a residential area," Applied Energy, Elsevier, vol. 102(C), pages 591-600.
    13. Tian, Shuai & Lu, Yuxin & Zhou, Xin & Zhang, Lun & An, Jingjing & Yan, Da & Shi, Xing & Jin, Xing, 2023. "A new perspective of solar hot water system operation optimization: Supply and demand matching," Renewable Energy, Elsevier, vol. 207(C), pages 89-104.
    14. Widén, Joakim & Wäckelgård, Ewa, 2010. "A high-resolution stochastic model of domestic activity patterns and electricity demand," Applied Energy, Elsevier, vol. 87(6), pages 1880-1892, June.
    15. Guo, Xiaofeng & Goumba, Alain Pascal, 2018. "Air source heat pump for domestic hot water supply: Performance comparison between individual and building scale installations," Energy, Elsevier, vol. 164(C), pages 794-802.
    16. Bertrand, Alexandre & Mastrucci, Alessio & Schüler, Nils & Aggoune, Riad & Maréchal, François, 2017. "Characterisation of domestic hot water end-uses for integrated urban thermal energy assessment and optimisation," Applied Energy, Elsevier, vol. 186(P2), pages 152-166.
    17. Yildiz, Baran & Roberts, Mike & Bilbao, Jose I. & Heslop, Simon & Bruce, Anna & Dore, Jonathon & MacGill, Iain & Egan, Renate J. & Sproul, Alistair B., 2021. "Assessment of control tools for utilizing excess distributed photovoltaic generation in domestic electric water heating systems," Applied Energy, Elsevier, vol. 300(C).

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