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Parametric analysis and optimization of 660 MW supercritical power plant

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dc.citedby13
dc.contributor.authorChandrakant Nikam K.en_US
dc.contributor.authorJathar L.en_US
dc.contributor.authorShelare S.D.en_US
dc.contributor.authorShahapurkar K.en_US
dc.contributor.authorDambhare S.en_US
dc.contributor.authorSoudagar M.E.M.en_US
dc.contributor.authorMubarak N.M.en_US
dc.contributor.authorAhamad T.en_US
dc.contributor.authorKalam M.A.en_US
dc.contributor.authorid57204728700en_US
dc.contributor.authorid57218476565en_US
dc.contributor.authorid57195928420en_US
dc.contributor.authorid57196344622en_US
dc.contributor.authorid55868792900en_US
dc.contributor.authorid57194384501en_US
dc.contributor.authorid36634677600en_US
dc.contributor.authorid12790015800en_US
dc.contributor.authorid55103352400en_US
dc.date.accessioned2024-10-14T03:17:36Z
dc.date.available2024-10-14T03:17:36Z
dc.date.issued2023
dc.description.abstractThe newly set up power plant has been committed to fulfilling the power supply demand of the world. Therefore, optimizing operating variables within constraints of varying power demand becomes necessary. The research aims to identify and optimize several parameters influencing the performance and efficiency of a 660 MW supercritical power plant at different operating conditions, such as steam temperature, pressure, feedwater flow rate, and fuel consumption. Ultimately, the research aims to contribute to developing sustainable and environmentally friendly power generation technologies. The present study covers the multi-objective optimization of a 660 MW capacity fossil fuel-fired SUPP. The overall plant efficiency, cost of electricity, and exergetic efficiency are taken as objective functions. The Particle Swarm Optimization (PSO) technique and a semi-empirical model of energy, economic, and exergy analysis of fossil fuel-fired SUPP have been employed. The varying power outputs, coal calorific value, amount of coal consumption, inlet temperature, and pressure conditions of turbines set are decision variables taken for the study. The parametric study was carried out with the variation in plant load and mass of coal consumption concerning the variation of the objective function. The lower temperature at the inlet of the low-pressure turbine is preferred for lowing the cost of electricity. The maximum value of plant efficiency of 41.643% and exergy efficiency of 39.834% with a minimum cost of electricity of 3.1456 INR/Unit have been evaluated using multi-objective PSO. The outcome of the present study is that the optimized value of decision variables will reduce the dependency on high-grade coal from an energy, exergy, and economic point of view. The outcome of the present study will explore the scope for future researchers and engineers. � 2023 Elsevier Ltden_US
dc.description.natureFinalen_US
dc.identifier.ArtNo128165
dc.identifier.doi10.1016/j.energy.2023.128165
dc.identifier.scopus2-s2.0-85166755244
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85166755244&doi=10.1016%2fj.energy.2023.128165&partnerID=40&md5=0c5b3f6a0dc46e6093f2312c36815a5d
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/33991
dc.identifier.volume280
dc.publisherElsevier Ltden_US
dc.sourceScopus
dc.sourcetitleEnergy
dc.subjectCost of electricity
dc.subjectExergy efficiency
dc.subjectFossil fuel-fired supercritical plant
dc.subjectParticle swarm optimization
dc.subjectPlant efficiency
dc.subjectCoal
dc.subjectCost benefit analysis
dc.subjectDecision making
dc.subjectEconomic analysis
dc.subjectElectric power systems
dc.subjectFossil fuel power plants
dc.subjectMultiobjective optimization
dc.subjectParticle swarm optimization (PSO)
dc.subjectSteam power plants
dc.subjectCost of electricity
dc.subjectExergy efficiencies
dc.subjectFossil fuel-fired supercritical plant
dc.subjectObjective functions
dc.subjectParticle swarm
dc.subjectParticle swarm optimization
dc.subjectPlant efficiency
dc.subjectSupercritical
dc.subjectSupercritical power plant
dc.subjectSwarm optimization
dc.subjectdemand analysis
dc.subjectenergy efficiency
dc.subjectexergy
dc.subjectfossil fuel
dc.subjectfuel consumption
dc.subjectoptimization
dc.subjectparameterization
dc.subjectperformance assessment
dc.subjectpower plant
dc.subjectExergy
dc.titleParametric analysis and optimization of 660 MW supercritical power planten_US
dc.typeArticleen_US
dspace.entity.typePublication
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