Performance prediction and multi-objective optimization of a CH4-fueled SOFC power/cooling system using ANN–GA: thermodynamic, economic, and environmental evaluation
Amir Abdolhosseinnejad, Sajad Rezazadeh, H. Rostamnejad Takleh, Milad Razbin
Topics & Concepts
Process engineeringExergyCost of electricity by sourceExergy efficiencyEnvironmental sciencePayback periodAutomotive engineeringComputer scienceArtificial neural networkSolid oxide fuel cellThermal efficiencyEfficient energy useRefrigerationWater coolingGenetic algorithmElectricity generationWaste heat recovery unitPerformance predictionElectricityElectric power systemHybrid systemThermalPower (physics)Evolutionary algorithmEnergy conservationThroughputThermal energyElectrical efficiencyPerformance indicatorCogenerationMulti-objective optimizationLife-cycle assessmentExhaust gasSystems designCooling capacityAbsorption refrigeratorDistributed generationOrganic Rankine cycleWorking fluidGas compressorRefrigeration and Air Conditioning TechnologiesThermodynamic and Exergetic Analyses of Power and Cooling SystemsAdvancements in Solid Oxide Fuel Cells