Multiple regression models for the prediction of the maximum obtainable thermal efficiency of organic Rankine cycles
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DOI: 10.1016/j.energy.2013.10.026
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Cited by:
- Imran, Muhammad & Usman, Muhammad & Park, Byung-Sik & Yang, Youngmin, 2016. "Comparative assessment of Organic Rankine Cycle integration for low temperature geothermal heat source applications," Energy, Elsevier, vol. 102(C), pages 473-490.
- Zhou, Jian & Zhang, Wei, 2023. "Coal consumption prediction in thermal power units: A feature construction and selection method," Energy, Elsevier, vol. 273(C).
- Ziviani, D. & Gusev, S. & Lecompte, S. & Groll, E.A. & Braun, J.E. & Horton, W.T. & van den Broek, M. & De Paepe, M., 2017. "Optimizing the performance of small-scale organic Rankine cycle that utilizes a single-screw expander," Applied Energy, Elsevier, vol. 189(C), pages 416-432.
- Andreasen, J.G. & Larsen, U. & Knudsen, T. & Pierobon, L. & Haglind, F., 2014. "Selection and optimization of pure and mixed working fluids for low grade heat utilization using organic Rankine cycles," Energy, Elsevier, vol. 73(C), pages 204-213.
- Baldi, Francesco & Gabrielii, Cecilia, 2015. "A feasibility analysis of waste heat recovery systems for marine applications," Energy, Elsevier, vol. 80(C), pages 654-665.
- Mondejar, Maria E. & Ahlgren, Fredrik & Thern, Marcus & Genrup, Magnus, 2017. "Quasi-steady state simulation of an organic Rankine cycle for waste heat recovery in a passenger vessel," Applied Energy, Elsevier, vol. 185(P2), pages 1324-1335.
- Joon-Young Park & Jae-Weon Jeong, 2017. "Operating Energy Savings of a Liquid Desiccant and Evaporative Cooling-Assisted Air-Handling System in Marine Applications," Energies, MDPI, vol. 10(4), pages 1-19, April.
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Keywords
Organic Rankine cycle; Performance prediction; Waste heat recovery; Multiple regression analysis;All these keywords.
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