A non-structural fuzzy decision method developed for organic Rankine cycles used in liquid-dominated geothermal fields of medium/high temperature

Zhang, N., Wang, Q., Yu, Z. and Yu, G. (2021) A non-structural fuzzy decision method developed for organic Rankine cycles used in liquid-dominated geothermal fields of medium/high temperature. Energy Conversion and Management, 231, 113861. (doi: 10.1016/j.enconman.2021.113861)

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Abstract

A reliable decision-making method is of great importance for the designing of a practical and efficient organic Rankine cycle (ORC) system employed to exploit geothermal energy. This paper develops a three-level non-structural fuzzy decision algorithm for the comprehensive evaluation of a geo-fluid driven trans-critical ORC (TORC) system on the basis of a progressive system performance hierarchy, involving environmental characteristics, safety, thermodynamic and techno-economic performance. Two representative geothermal reservoirs with medium (GR-I) and high (GR-II) temperature are investigated to realize and validate the proposed method. Four mathematical models and six working fluids with thirteen indexes are developed to fulfill the performance evaluation and decision-making courses. Parametric analysis results of the decision criteria are conducted including specific net out power (), thermal efficiency (), exergy efficiency (), heat transfer area per net output power (APR) and electricity production cost (EPC), and the different performance of TORC for GR-I and GR-II are fully revealed. As for the GR-I, the result of the three-level fuzzy decision ranking order is R142b, R134a, R290, R1270, R227ea and R143a. In regard to the GR-II, it’s R142b, R1270, R134a, R290, R227ea and R143a. Both show that R142b performs best. In the GR-I and GR-II, R142b obtains the maximal of 110.94 kW/(kg·s−1) and 198.14 kW/(kg·s−1), the maximal of 14.05% and 14.43%, the maximal of 51.42% and 42.90%, the minimal APR of 0.262(m2/kW) and 0.185(m2/kW), the minimal EPC of 0.030($/(kW·h)) and 0.022($/(kW·h)). Summarily, this three-level fuzzy decision evaluation method can provide important guidance and decisive solution by concisely display the pros and cons for each ORC scheme of geothermal resource utilization.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Yu, Dr Guopeng and Yu, Professor Zhibin
Creator Roles:
Yu, Z.Funding acquisition, Validation, Writing – review and editing, Project administration
Yu, G.Methodology, Investigation, Writing – review and editing, Supervision, Project administration
Authors: Zhang, N., Wang, Q., Yu, Z., and Yu, G.
College/School:College of Science and Engineering > School of Engineering > Systems Power and Energy
Journal Name:Energy Conversion and Management
Publisher:Elsevier
ISSN:0196-8904
ISSN (Online):1879-2227
Published Online:28 January 2021
Copyright Holders:Copyright © 2021 Elsevier Ltd.
First Published:First published in Energy Conversion and Management 231:113861
Publisher Policy:Reproduced in accordance with the publisher copyright policy

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
300663Geothermally Sourced Power and Freshwater Generation for Eastern AfricaZhibin YuEngineering and Physical Sciences Research Council (EPSRC)EP/P028829/1ENG - Systems Power & Energy