Abstract
Through this research work the efficiency of power generation system special thermal power plant which associated with many more nonlinear devices has been broadly examine and possible solution is given. Waste heat can be reuse at highly required heating process is a concept of efficiency improvement in this proposed work. Some of most sensitive point like draying of fuel, preheating air for combustion monitoring, rising of feed water temperature is focus as primary observation towards this approach.
Concern theory related to it minimised an extra 3% wt. on moisture of fuel and rise up to inlet air of 35 ℃. these simple techniques altogether improve overall efficiency by 1% and as an outcome saving of 50 Ton of fuel on and average during a year. An intelligent system has been designed that support completely and monitor properly for heat recovery mostly through this work. This provides a result after due analysis of traditional PID with proposed FUZZYPID and justify its utility over for nonlinear complex and nonlinear process. This too possible for all range of operating condition for most expected efficiencies.
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Panda, S., Mishra, R., Das, B., kar, S.k., Rath, P. (2021). Soft Computing Approach on Minimisation of Indirect Losses in Power Generation for Efficiency Enhancing. In: Abraham, A., Panda, M., Pradhan, S., Garcia-Hernandez, L., Ma, K. (eds) Innovations in Bio-Inspired Computing and Applications. IBICA 2019. Advances in Intelligent Systems and Computing, vol 1180. Springer, Cham. https://doi.org/10.1007/978-3-030-49339-4_37
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DOI: https://doi.org/10.1007/978-3-030-49339-4_37
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