Design of Robust Total Site Heat Recovery Loops via Monte Carlo Simulation
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- Walmsley, Timothy G. & Walmsley, Michael R.W. & Atkins, Martin J. & Neale, James R., 2014. "Integration of industrial solar and gaseous waste heat into heat recovery loops using constant and variable temperature storage," Energy, Elsevier, vol. 75(C), pages 53-67.
- Philipp, Matthias & Schumm, Gregor & Peesel, Ron-Hendrik & Walmsley, Timothy G. & Atkins, Martin J. & Schlosser, Florian & Hesselbach, Jens, 2018. "Optimal energy supply structures for industrial food processing sites in different countries considering energy transitions," Energy, Elsevier, vol. 146(C), pages 112-123.
- Meschede, Henning & Dunkelberg, Heiko & Stöhr, Fabian & Peesel, Ron-Hendrik & Hesselbach, Jens, 2017. "Assessment of probabilistic distributed factors influencing renewable energy supply for hotels using Monte-Carlo methods," Energy, Elsevier, vol. 128(C), pages 86-100.
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- Jiří Jaromír Klemeš & Petar Sabev Varbanov & Paweł Ocłoń & Hon Huin Chin, 2019. "Towards Efficient and Clean Process Integration: Utilisation of Renewable Resources and Energy-Saving Technologies," Energies, MDPI, vol. 12(21), pages 1-32, October.
- Brage Rugstad Knudsen & Hanne Kauko & Trond Andresen, 2019. "An Optimal-Control Scheme for Coordinated Surplus-Heat Exchange in Industry Clusters," Energies, MDPI, vol. 12(10), pages 1-22, May.
- Khairulnadzmi Jamaluddin & Sharifah Rafidah Wan Alwi & Khaidzir Hamzah & Jiří Jaromír Klemeš, 2020. "A Numerical Pinch Analysis Methodology for Optimal Sizing of a Centralized Trigeneration System with Variable Energy Demands," Energies, MDPI, vol. 13(8), pages 1-35, April.
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Keywords
total site heat integration; heat recovery loop (HRL); heat storage; Monte Carlo (MC) simulation; data farming;All these keywords.
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