Rui Yang, Yongbao Liu, Ge Xia, Xing He, Zhimeng Liu
{"title":"Multi-factor performance analysis and optimized control strategy for a single-shaft micro gas turbine","authors":"Rui Yang, Yongbao Liu, Ge Xia, Xing He, Zhimeng Liu","doi":"10.1016/j.tsep.2025.103836","DOIUrl":null,"url":null,"abstract":"<div><div>Performance analysis and control strategy optimization of single-shaft micro gas turbine (MGT) under the influence of multiple factors is conducted in this paper. A nonlinear performance simulation program is developed to comprehensively analyze the operating characteristics of simple cycle and regenerative cycle MGT. By utilizing this simulation program, the study investigates the impact of various factors such as ambient conditions, shaft speed, and different inertia combination schemes on the thermal performance of the MGT. It is empirically demonstrated that the ambient temperature and shaft speed play crucial roles in determining the steady-state performance of the MGT. Among the various inertia links, the thermal inertia of the recuperator has the most pronounced effect on the dynamic characteristics, particularly leading to a significant increase in the recovery time of the combustion chamber inlet temperature. Finally, the MGT efficiency optimization problem under the coupled influence of environmental factors and load power is investigated, and a high-efficiency optimal speed control strategy is proposed based on the back propagation (BP) neural network. The research findings indicate that, compared to traditional constant speed operation, the proposed optimal control strategy enhances the efficiency by 5.02 % under an ambient temperature of 0 °C and a load power of 40 kW. As the ambient temperature decreases, the benefits of the optimal variable speed control strategy become more apparent.</div></div>","PeriodicalId":23062,"journal":{"name":"Thermal Science and Engineering Progress","volume":"64 ","pages":"Article 103836"},"PeriodicalIF":5.4000,"publicationDate":"2025-07-05","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/S2451904925006274","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
Performance analysis and control strategy optimization of single-shaft micro gas turbine (MGT) under the influence of multiple factors is conducted in this paper. A nonlinear performance simulation program is developed to comprehensively analyze the operating characteristics of simple cycle and regenerative cycle MGT. By utilizing this simulation program, the study investigates the impact of various factors such as ambient conditions, shaft speed, and different inertia combination schemes on the thermal performance of the MGT. It is empirically demonstrated that the ambient temperature and shaft speed play crucial roles in determining the steady-state performance of the MGT. Among the various inertia links, the thermal inertia of the recuperator has the most pronounced effect on the dynamic characteristics, particularly leading to a significant increase in the recovery time of the combustion chamber inlet temperature. Finally, the MGT efficiency optimization problem under the coupled influence of environmental factors and load power is investigated, and a high-efficiency optimal speed control strategy is proposed based on the back propagation (BP) neural network. The research findings indicate that, compared to traditional constant speed operation, the proposed optimal control strategy enhances the efficiency by 5.02 % under an ambient temperature of 0 °C and a load power of 40 kW. As the ambient temperature decreases, the benefits of the optimal variable speed control strategy become more apparent.
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.