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Techno-economic survey of Organic Rankine Cycle (ORC) systems

Open access
Quoilin, Sylvain, Broek, Martijn Van Den, Declaye, Sébastien, Dewallef, Pierre, Lemort, Vincent·2013·Renewable and Sustainable Energy Reviews

Abstract

New heat conversion technologies need to be developed and improved to take advantage of the necessary increase in the supply of renewable energy. The Organic Rankine Cycle is well suited for these applications, mainly because of its ability to recover low-grade heat and the possibility to be implemented in decentralized lower-capacity power plants. In this paper, an overview of the different ORC applications is presented. A market review is proposed including cost figures for several commercial ORC modules and manufacturers. An in-depth analysis of the technical challenges related to the technology, such as working fluid selection and expansion machine issues is then reported. Technological constraints and optimization methods are extensively described and discussed. Finally, the current trends in research and development for the next generation of Organic Rankine Cycles are presented.

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Metadata

Authors
Quoilin, S., Broek, M. V. D., Declaye, S., Dewallef, P., & Lemort, V.
Venue
Renewable and Sustainable Energy Reviews
Publisher
Elsevier BV
Published
2013-06
Volume
22
Pages
168-186
ISSN
1364-0321 (ISSN-L)
OpenAlex
W2110069242
Cited by
1,490
References
0
FWCI
131.96
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Techno-economic survey of Organic Rankine Cycle (ORC) systems. https://app.cochat.ai/papers/10.1016/j.rser.2013.01.028
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Quoilin, S., Broek, M. V. D., Declaye, S., Dewallef, P., & Lemort, V. (2013). Techno-economic survey of Organic Rankine Cycle (ORC) systems. Renewable and Sustainable Energy Reviews. https://doi.org/10.1016/j.rser.2013.01.028

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.