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Heat-load modelling for large systems

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  • Heller, A. J.

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  • Heller, A. J., 2002. "Heat-load modelling for large systems," Applied Energy, Elsevier, vol. 72(1), pages 371-387, May.
    • Handle: RePEc:eee:appene:v:72:y:2002:i:1:p:371-387
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    Cited by:

    1. Watson, S.D. & Lomas, K.J. & Buswell, R.A., 2019. "Decarbonising domestic heating: What is the peak GB demand?," Energy Policy, Elsevier, vol. 126(C), pages 533-544.
    2. Freire, Roberto Zanetti & Mazuroski, Walter & Abadie, Marc Olivier & Mendes, Nathan, 2011. "Capacitive effect on the heat transfer through building glazing systems," Applied Energy, Elsevier, vol. 88(12), pages 4310-4319.
    3. Tschopp, Daniel & Tian, Zhiyong & Berberich, Magdalena & Fan, Jianhua & Perers, Bengt & Furbo, Simon, 2020. "Large-scale solar thermal systems in leading countries: A review and comparative study of Denmark, China, Germany and Austria," Applied Energy, Elsevier, vol. 270(C).
    4. Pini Prato, Alessandro & Strobino, Fabrizio & Broccardo, Marco & Parodi Giusino, Luigi, 2012. "Integrated management of cogeneration plants and district heating networks," Applied Energy, Elsevier, vol. 97(C), pages 590-600.
    5. Zhuang, Chaoqun & Choudhary, Ruchi & Mavrogianni, Anna, 2023. "Uncertainty-based optimal energy retrofit methodology for building heat electrification with enhanced energy flexibility and climate adaptability," Applied Energy, Elsevier, vol. 341(C).
    6. Lumbreras, Mikel & Garay-Martinez, Roberto & Arregi, Beñat & Martin-Escudero, Koldobika & Diarce, Gonzalo & Raud, Margus & Hagu, Indrek, 2022. "Data driven model for heat load prediction in buildings connected to District Heating by using smart heat meters," Energy, Elsevier, vol. 239(PD).
    7. Manfren, Massimiliano & Caputo, Paola & Costa, Gaia, 2011. "Paradigm shift in urban energy systems through distributed generation: Methods and models," Applied Energy, Elsevier, vol. 88(4), pages 1032-1048, April.
    8. Difs, Kristina & Danestig, Maria & Trygg, Louise, 2009. "Increased use of district heating in industrial processes - Impacts on heat load duration," Applied Energy, Elsevier, vol. 86(11), pages 2327-2334, November.
    9. D'Amico, A. & Ciulla, G. & Panno, D. & Ferrari, S., 2019. "Building energy demand assessment through heating degree days: The importance of a climatic dataset," Applied Energy, Elsevier, vol. 242(C), pages 1285-1306.
    10. Jae-Ki Byun & Young-Don Choi & Jong-Keun Shin & Myung-Ho Park & Dong-Kurl Kwak, 2012. "Study on the Development of an Optimal Heat Supply Control Algorithm for Group Energy Apartment Buildings According to the Variation of Outdoor Air Temperature," Energies, MDPI, vol. 5(5), pages 1-19, May.
    11. Renaldi, R. & Kiprakis, A. & Friedrich, D., 2017. "An optimisation framework for thermal energy storage integration in a residential heat pump heating system," Applied Energy, Elsevier, vol. 186(P3), pages 520-529.
    12. Braas, Hagen & Jordan, Ulrike & Best, Isabelle & Orozaliev, Janybek & Vajen, Klaus, 2020. "District heating load profiles for domestic hot water preparation with realistic simultaneity using DHWcalc and TRNSYS," Energy, Elsevier, vol. 201(C).
    13. Popescu, Daniela & Ungureanu, Florina & Hernández-Guerrero, Abel, 2009. "Simulation models for the analysis of space heat consumption of buildings," Energy, Elsevier, vol. 34(10), pages 1447-1453.
    14. Nigitz, Thomas & Gölles, Markus, 2019. "A generally applicable, simple and adaptive forecasting method for the short-term heat load of consumers," Applied Energy, Elsevier, vol. 241(C), pages 73-81.
    15. Lundström, Lukas & Wallin, Fredrik, 2016. "Heat demand profiles of energy conservation measures in buildings and their impact on a district heating system," Applied Energy, Elsevier, vol. 161(C), pages 290-299.

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