Meelan Roopa, Mia Mangaroo-Pillay, Rajenlall Siriram
{"title":"系统文献综述:燃煤电厂运行的投入-转换-产出模型","authors":"Meelan Roopa, Mia Mangaroo-Pillay, Rajenlall Siriram","doi":"10.1002/ese3.70174","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Purpose</h3>\n \n <p>This study identifies and organizes improvement strategies that enable flexible operations in coal-fired power plants through the lens of an input-transformation-output (ITO) model.</p>\n </section>\n \n <section>\n \n <h3> Design/Methodology/Approach</h3>\n \n <p>A rigorous systematic literature review (SLR) process, consisting of ten steps in three stages, was used to extract and synthesize relevant studies from 2016 to 2023. These findings were structured within a customized ITO framework to categorize interventions across operational and strategic levels.</p>\n </section>\n \n <section>\n \n <h3> Findings</h3>\n \n <p>The review synthesized 24 high-quality studies, revealing 13 thematic strategies that enhance flexibility in coal-fired operations. These include, among others, optimizing boiler systems, integrating renewable energy, improving control systems, and upgrading water-steam cycles. The ITO model illustrates how external environmental drivers, operational interventions, and performance metrics interrelate to influence plant flexibility. Notably, strategies such as advanced control algorithms, predictive maintenance, and retrofitting of pressure components were shown to reduce emissions, improve ramp rates, and extend plant life while supporting grid stability.</p>\n </section>\n \n <section>\n \n <h3> Practical Implications</h3>\n \n <p>The study provides a structured model that practitioners can use to guide retrofitting and operational strategies across input, transformation, and output stages of plant functionality. These insights support informed decision-making for improved energy efficiency, sustainability, and cost-effectiveness in legacy coal infrastructure.</p>\n </section>\n \n <section>\n \n <h3> Originality/Value</h3>\n \n <p>Unlike traditional literature reviews, this study presents a multi-dimensional, systems-based analysis that maps improvement strategies to plant operations. The resulting ITO framework serves as a blueprint for achieving operational flexibility, especially relevant to countries like South Africa grappling with energy transitions.</p>\n </section>\n </div>","PeriodicalId":11673,"journal":{"name":"Energy Science & Engineering","volume":"13 9","pages":"4615-4632"},"PeriodicalIF":3.4000,"publicationDate":"2025-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://scijournals.onlinelibrary.wiley.com/doi/epdf/10.1002/ese3.70174","citationCount":"0","resultStr":"{\"title\":\"A Systematic Literature Review: An Input-Transformation-Output Model for Coal-Fired Plant Operations\",\"authors\":\"Meelan Roopa, Mia Mangaroo-Pillay, Rajenlall Siriram\",\"doi\":\"10.1002/ese3.70174\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Purpose</h3>\\n \\n <p>This study identifies and organizes improvement strategies that enable flexible operations in coal-fired power plants through the lens of an input-transformation-output (ITO) model.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Design/Methodology/Approach</h3>\\n \\n <p>A rigorous systematic literature review (SLR) process, consisting of ten steps in three stages, was used to extract and synthesize relevant studies from 2016 to 2023. These findings were structured within a customized ITO framework to categorize interventions across operational and strategic levels.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Findings</h3>\\n \\n <p>The review synthesized 24 high-quality studies, revealing 13 thematic strategies that enhance flexibility in coal-fired operations. These include, among others, optimizing boiler systems, integrating renewable energy, improving control systems, and upgrading water-steam cycles. The ITO model illustrates how external environmental drivers, operational interventions, and performance metrics interrelate to influence plant flexibility. Notably, strategies such as advanced control algorithms, predictive maintenance, and retrofitting of pressure components were shown to reduce emissions, improve ramp rates, and extend plant life while supporting grid stability.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Practical Implications</h3>\\n \\n <p>The study provides a structured model that practitioners can use to guide retrofitting and operational strategies across input, transformation, and output stages of plant functionality. These insights support informed decision-making for improved energy efficiency, sustainability, and cost-effectiveness in legacy coal infrastructure.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Originality/Value</h3>\\n \\n <p>Unlike traditional literature reviews, this study presents a multi-dimensional, systems-based analysis that maps improvement strategies to plant operations. 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A Systematic Literature Review: An Input-Transformation-Output Model for Coal-Fired Plant Operations
Purpose
This study identifies and organizes improvement strategies that enable flexible operations in coal-fired power plants through the lens of an input-transformation-output (ITO) model.
Design/Methodology/Approach
A rigorous systematic literature review (SLR) process, consisting of ten steps in three stages, was used to extract and synthesize relevant studies from 2016 to 2023. These findings were structured within a customized ITO framework to categorize interventions across operational and strategic levels.
Findings
The review synthesized 24 high-quality studies, revealing 13 thematic strategies that enhance flexibility in coal-fired operations. These include, among others, optimizing boiler systems, integrating renewable energy, improving control systems, and upgrading water-steam cycles. The ITO model illustrates how external environmental drivers, operational interventions, and performance metrics interrelate to influence plant flexibility. Notably, strategies such as advanced control algorithms, predictive maintenance, and retrofitting of pressure components were shown to reduce emissions, improve ramp rates, and extend plant life while supporting grid stability.
Practical Implications
The study provides a structured model that practitioners can use to guide retrofitting and operational strategies across input, transformation, and output stages of plant functionality. These insights support informed decision-making for improved energy efficiency, sustainability, and cost-effectiveness in legacy coal infrastructure.
Originality/Value
Unlike traditional literature reviews, this study presents a multi-dimensional, systems-based analysis that maps improvement strategies to plant operations. The resulting ITO framework serves as a blueprint for achieving operational flexibility, especially relevant to countries like South Africa grappling with energy transitions.
期刊介绍:
Energy Science & Engineering is a peer reviewed, open access journal dedicated to fundamental and applied research on energy and supply and use. Published as a co-operative venture of Wiley and SCI (Society of Chemical Industry), the journal offers authors a fast route to publication and the ability to share their research with the widest possible audience of scientists, professionals and other interested people across the globe. Securing an affordable and low carbon energy supply is a critical challenge of the 21st century and the solutions will require collaboration between scientists and engineers worldwide. This new journal aims to facilitate collaboration and spark innovation in energy research and development. Due to the importance of this topic to society and economic development the journal will give priority to quality research papers that are accessible to a broad readership and discuss sustainable, state-of-the art approaches to shaping the future of energy. This multidisciplinary journal will appeal to all researchers and professionals working in any area of energy in academia, industry or government, including scientists, engineers, consultants, policy-makers, government officials, economists and corporate organisations.