Thermo-economic optimization of small-scale Organic Rankine Cycle: A case study for low-grade industrial waste heat recovery
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Other documents of the author: Peris, Bernardo; Navarro-Esbrí, Joaquín; Mateu-Royo, Carlos; Mota-Babiloni, Adrián; Molés, Francisco; Gutierrez Trashorras, Antonio J.; Amat-Albuixech, Marta
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https://doi.org/10.1016/j.energy.2020.118898 |
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Title
Thermo-economic optimization of small-scale Organic Rankine Cycle: A case study for low-grade industrial waste heat recoveryAuthor (s)
Date
2020-10-01Publisher
ElsevierBibliographic citation
PERIS, Bernardo, et al. Thermo-economic optimization of small-scale Organic Rankine Cycle: A case study for low-grade industrial waste heat recovery. Energy, 2020, vol. 213, p. 118898.Type
info:eu-repo/semantics/articlePublisher version
https://www.sciencedirect.com/science/article/pii/S0360544220320053Version
info:eu-repo/semantics/publishedVersionSubject
Abstract
This work is focused on a case study of a small-scale Organic Rankine Cycle (ORC) adopted for electricity production from low-grade industrial waste heat recovery. This kind of applications raises a great interest due ... [+]
This work is focused on a case study of a small-scale Organic Rankine Cycle (ORC) adopted for electricity production from low-grade industrial waste heat recovery. This kind of applications raises a great interest due to the high amount of low-grade waste heat recoverable within industrial processes, but lacks of in-depth experimental investigations on the topic. The main reason is the difficulty to reach profitable small-scale projects, so more cost-effective solutions are being explored in the literature through thermo-economic optimizations. Nonetheless, the results obtained cannot be discussed with respect to actual operating data. In light of this, this paper proposes to conduct the thermo-economic optimization on the basis of an experimental application. In this manner, a comprehensive model of the facility is developed, calibrated, and validated from actual operating data. The model is used to conduct the thermo-economic optimization, revealing the influence of the organic fluid, cycle architecture, geometric parameters of main components, or control strategy used to obtain the best cost-effective solution. The main results show that, by means of a multivariable optimization using cost-effective ratios as objective function, a cheaper and powerful solution adapted to each specific project may be designed. [-]
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Energy, 2020, v. 213Investigation project
1) Jaume I University for its financial support under the Ph.D grant PREDOC/2013/28 of “Convocatòria d’ajudes predoctorals per a la formació de personal investigador del Pla de promoció de la investigació de la Universitat Jaume I de Castelló (Spain)”; 2) Valencian Government through the postdoctoral contract APOSTD/2020/032;Rights
http://rightsstatements.org/vocab/CNE/1.0/
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info:eu-repo/semantics/restrictedAccess
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