Decision-making matrix for the selection of mixture in ORC application - CEA - Commissariat à l’énergie atomique et aux énergies alternatives
Communication Dans Un Congrès Année : 2023

Decision-making matrix for the selection of mixture in ORC application

Résumé

ORC is an established and affordable technology to convert efficiently low/medium grade thermal energy to power. The choice of the working fluid is critical to the performance of the ORC. The use of zeotropic mixtures as a cycle working fluid could lead to an efficiency enhancement, thanks to the non-isothermal phase change occurring at both the condenser and the evaporator. Therefore, there has been a growing interest for mixtures, which are often studied by the means of optimization algorithms or thermodynamic calculations that lead to interesting results (Bederna et al., 2021, Lecompte et al., 2014). This work proposes an alternative approach. A selection methodology is used to conduct a preliminary screening to optimize the mixture choice in accordance with the targeted objectives. For this purpose, a large list of criteria is considered to achieve improved safety, maximized performances, ORC using more environmentally friendly fluids and respecting heat exchangers sizing while following specific technical constraints. Among these criteria, the temperature glide should be carefully taken into account: indeed, it is directly linked to the fractionating risk, which must be prevented for the good functioning of the cycle. Performing this study prior to the classical energetic analysis reduces the risk of exploring mixtures of incompatible or irrelevant fluids. This whole analysis yields a decision-making matrix, gathering selection criteria, relevant properties, and cycle performances. By adapting the different threshold of these criteria, this methodology is adaptable to large-scale ORC applications.
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Dates et versions

cea-04380526 , version 1 (08-01-2024)

Identifiants

  • HAL Id : cea-04380526 , version 1

Citer

William Combaluzier, Nicolas Tauveron, Michel Beaughon, Aldo Serafino. Decision-making matrix for the selection of mixture in ORC application. ORC2023 - International Seminar on Organic Rankine Cycle Power Systems 2023, Sep 2023, Seville, Spain. pp.71. ⟨cea-04380526⟩
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