{"title":"Geothermal Sourced Trigeneration Plant for Puga Valley: Techno-Economic Analysis and Multi-Objective Optimization","authors":"Siddharth Ramachandran , Satya Sekhar Bhogilla , Pallippattu Krishnan Vijayan","doi":"10.1016/j.tsep.2025.103487","DOIUrl":null,"url":null,"abstract":"<div><div>The techno-economic feasibility of a binary geothermal trigeneration plant customized for the Puga Valley, India, was examined for the concurrent generation of power and green hydrogen, in addition to district heating. This study considers the unique geotechnical data of the Puga Valley, including geothermal gradients for individual gauged wells and related cost functions. The primary mover of the trigeneration plant is a dual-loop organic Rankine cycle (ORC), with R123 as the primary working fluid and R125 as the secondary working fluid. The bottoming ORC loop was coupled with a proton-exchange membrane electrolyzer, harnessing its net power to produce green hydrogen. Geothermal resources are used to generate thermal energy for district heating, thereby increasing the overall efficiency of the plant. The overall effectiveness and cost of the system are significantly affected by variations in operational and design factors, such as the temperature, fluid flow rate of the geothermal source, and ORC turbine inlet temperature. An artificial neural network-based multi-objective optimization study was conducted to ascertain the optimum values for the aforementioned parameters. The outcome represents an optimal Pareto curve, with the objective functions being the trigeneration plant’s overall cost rate, electricity yield, and exergy efficiency. The proposed trigeneration plant could simultaneously produce 1.1 MW of electricity, 5.7 kg/h of green hydrogen, and 789.2 kW of thermal energy for the district heat network at a supply temperature of 85 °C at the optimal operating point. The corresponding values for the overall energy efficiency, exergy efficiency, and total cost rate were determined as 17.2 %, 38 %, and 56.8 US$/h, respectively.</div></div>","PeriodicalId":23062,"journal":{"name":"Thermal Science and Engineering Progress","volume":"60 ","pages":"Article 103487"},"PeriodicalIF":5.1000,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Thermal Science and Engineering Progress","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S245190492500277X","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
The techno-economic feasibility of a binary geothermal trigeneration plant customized for the Puga Valley, India, was examined for the concurrent generation of power and green hydrogen, in addition to district heating. This study considers the unique geotechnical data of the Puga Valley, including geothermal gradients for individual gauged wells and related cost functions. The primary mover of the trigeneration plant is a dual-loop organic Rankine cycle (ORC), with R123 as the primary working fluid and R125 as the secondary working fluid. The bottoming ORC loop was coupled with a proton-exchange membrane electrolyzer, harnessing its net power to produce green hydrogen. Geothermal resources are used to generate thermal energy for district heating, thereby increasing the overall efficiency of the plant. The overall effectiveness and cost of the system are significantly affected by variations in operational and design factors, such as the temperature, fluid flow rate of the geothermal source, and ORC turbine inlet temperature. An artificial neural network-based multi-objective optimization study was conducted to ascertain the optimum values for the aforementioned parameters. The outcome represents an optimal Pareto curve, with the objective functions being the trigeneration plant’s overall cost rate, electricity yield, and exergy efficiency. The proposed trigeneration plant could simultaneously produce 1.1 MW of electricity, 5.7 kg/h of green hydrogen, and 789.2 kW of thermal energy for the district heat network at a supply temperature of 85 °C at the optimal operating point. The corresponding values for the overall energy efficiency, exergy efficiency, and total cost rate were determined as 17.2 %, 38 %, and 56.8 US$/h, respectively.
期刊介绍:
Thermal Science and Engineering Progress (TSEP) publishes original, high-quality research articles that span activities ranging from fundamental scientific research and discussion of the more controversial thermodynamic theories, to developments in thermal engineering that are in many instances examples of the way scientists and engineers are addressing the challenges facing a growing population – smart cities and global warming – maximising thermodynamic efficiencies and minimising all heat losses. It is intended that these will be of current relevance and interest to industry, academia and other practitioners. It is evident that many specialised journals in thermal and, to some extent, in fluid disciplines tend to focus on topics that can be classified as fundamental in nature, or are ‘applied’ and near-market. Thermal Science and Engineering Progress will bridge the gap between these two areas, allowing authors to make an easy choice, should they or a journal editor feel that their papers are ‘out of scope’ when considering other journals. The range of topics covered by Thermal Science and Engineering Progress addresses the rapid rate of development being made in thermal transfer processes as they affect traditional fields, and important growth in the topical research areas of aerospace, thermal biological and medical systems, electronics and nano-technologies, renewable energy systems, food production (including agriculture), and the need to minimise man-made thermal impacts on climate change. Review articles on appropriate topics for TSEP are encouraged, although until TSEP is fully established, these will be limited in number. Before submitting such articles, please contact one of the Editors, or a member of the Editorial Advisory Board with an outline of your proposal and your expertise in the area of your review.