How to effectively utilize low and medium temperature energy is one of the solutions to alleviate the energy shortage and environmental pollution problems. In the past twenty years, because of its feasibility and reliability, organic Rankine cycle has received widespread attentions and researches. In this paper, it reviews the selections of working fluids and expanders for organic Rankine cycle, including an analysis of the influence of working fluids' category and their thermodynamic and physical properties on the organic Rankine cycle's performance, a summary of pure and mixed working fluids' screening researches for organic Rankine cycle, a comparison of pure and mixture working fluids' applications and a discussion of all types of expansion machines' operating characteristics, which would be beneficial to select the optimal working fluid and suitable expansion machine for an effective organic Rankine cycle system.

A review of working fluid and expander selections for organic Rankine cycle

A recent review of waste heat recovery by Organic Rankine Cycle

Alternative ORC bottoming cycles FOR combined cycle power plants

Binary ORC (Organic Rankine Cycles) power plants for the exploitation of medium–low temperature geothermal sources – Part B: Techno-economic optimization

Bottoming micro-Rankine cycles for micro-gas turbines

Efficiency Prediction for Axial-Flow Turbines Operating with Nonconventional Fluids

The selection of the number of stages of a turbine is a compromise between the two often conflicting requirements of increasing the efficiency and decreasing the machine complexity and cost. A sound prediction of the turbine efficiency variation with the number of stages is therefore useful. In the paper, a computer code capable of optimizing the more significant design variables of a multistage axial-flow turbine is described. The selection of the optimizing design variables, the assumptions made for the constraints within which the solution is searched and the optimization procedure are discussed. Losses are predicted by the Craig and Cox correlation. A computer program is used to design and predict the performance of a number of representative turbines. Similarity parameters are introduced to generalize the obtained results after a discussion of their physical significance for multistage turbine handling compressible flow. The influence on the overall turbine efficiency of the number of stages is derived as a function of expansion ratio, specific speed and turbine dimensions.Copyright © 1982 by ASME

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On the Influence of the Number of Stages on the Efficiency of Axial-Flow Turbines

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Efficiency Prediction for Axial-Flow Turbines Operating with Nonconventional Fluids

On the Influence of the Number of Stages on the Efficiency of Axial-Flow Turbines