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Optimal design of solar-assisted industrial processes considering heat pumping: Case study of a dairy

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  • Wallerand, Anna S.
  • Kermani, Maziar
  • Voillat, Régis
  • Kantor, Ivan
  • Maréchal, François

Abstract

Pinch analysis and Mixed Integer Linear Programming (MILP) have been extensively studied for optimization of industrial processes addressing heat recovery, utility selection and sizing. Analysis of renewable utility integration, such as solar thermal or photovoltaics, introduces several obstacles for established methods: the time-dependency of resources, storage inertia and losses, and intrinsic non-linearities of the system performance are difficult to represent by linearized, time-invariant MILP equations. Moreover, waste heat recovery options such as heat pumping cannot be neglected as a potential competitor to solar heat.

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  • Wallerand, Anna S. & Kermani, Maziar & Voillat, Régis & Kantor, Ivan & Maréchal, François, 2018. "Optimal design of solar-assisted industrial processes considering heat pumping: Case study of a dairy," Renewable Energy, Elsevier, vol. 128(PB), pages 565-585.
    • Handle: RePEc:eee:renene:v:128:y:2018:i:pb:p:565-585
    DOI: 10.1016/j.renene.2017.07.027
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    References listed on IDEAS

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    4. Wang, Kai & Pantaleo, Antonio M. & Herrando, María & Faccia, Michele & Pesmazoglou, Ioannis & Franchetti, Benjamin M. & Markides, Christos N., 2020. "Spectral-splitting hybrid PV-thermal (PVT) systems for combined heat and power provision to dairy farms," Renewable Energy, Elsevier, vol. 159(C), pages 1047-1065.
    5. Schoeneberger, Carrie A. & McMillan, Colin A. & Kurup, Parthiv & Akar, Sertac & Margolis, Robert & Masanet, Eric, 2020. "Solar for industrial process heat: A review of technologies, analysis approaches, and potential applications in the United States," Energy, Elsevier, vol. 206(C).
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