Investigation on the use of a novel regenerative flow turbine in a micro-scale Organic Rankine Cycle unit

被引:15
作者
Moradi, Ramin [1 ]
Habib, Emanuele [1 ]
Bocci, Enrico [2 ]
Cioccolanti, Luca [3 ]
机构
[1] Sapienza Univ Rome, DIAEE, Rome, Italy
[2] Marconi Univ, Via Paolo Emilio 29, Rome, Italy
[3] Univ Telemat ECampus, CREAT, Via Isimbardi 10, I-22060 Novedrate, CO, Italy
关键词
Regenerative flow turbine; CFD simulation; Small-scale ORC; Micro combined heat and power system; Low-grade waste heat recovery; DRIVE SCROLL EXPANDER; WASTE HEAT-RECOVERY; VOLUMETRIC EXPANDERS; ORC; PUMP; DESIGN; SELECTION; R245FA; SYSTEM; ENERGY;
D O I
10.1016/j.energy.2020.118519
中图分类号
O414.1 [热力学];
学科分类号
摘要
Reliable and low-cost expanders are fundamental for the competitiveness of small-scale Organic Rankine Cycle (ORC) plants using low-temperature heat sources. Regenerative flow turbines (RFTs) can be considered a low-cost and viable alternative expander, yet their performance needs to be fully investigated. Therefore, the use of an RFT in a micro-scale ORC test bench is investigated in this work through a modelling study. Specifically, three-dimensional CFD simulations are carried out to assess the performance of the considered expander with varying operating conditions and a numerical model of a non-regenerative, small-scale ORC system is developed to investigate its potential in waste heat recovery (WHR) applications. Using R245fa as the working fluid, the CFD analysis shows that the expander achieves a maximum total-to-static isentropic efficiency of about 44% in the investigated operating range. The small-scale ORC system has a net output power in the range 100-600 W and a net cycle efficiency of 1-2.3%. Moreover, a comparison with two scroll expanders having different built-in volume ratios shows that the RFT operates with higher isentropic efficiencies in low mass flow rates and pressure ratios thus highlighting its suitability for low-temperature WHR applications, especially when considerable fluctuations of the heat source are expected. (C) 2020 Elsevier Ltd. All rights reserved.
引用
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页数:15
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