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• W2182752961 abstract "In sugar industry, past the sugar was main product and bagasse was considered as west and its disposal was the problem. The present paper highlights the design and development of Embedded Fuzzy Module for energy efficiency improvement of bagasse boiler for a sugar factory intended for cogeneration system. The multipurpose boiler considered parameters are Water flow, Steam flow, Amount of fuel and Air flow. The Fuzzy Logic Inference is to find out the desirable amount of fuel (bagasse) and Air flow for targeted steam flow. In this paper Embedded Fuzzy Logic Module for improving the steam generation performance as well as saving fuel of boiler in the sugar industry. The sugar industry is Indias second largest agro processing industry. Now a day the Sugar Industry expected to be self-sufficient in respect to the energy. In past the sugar was the main product and bagasse was considered as factory waste and its disposal was the problem. With the cost of fuel increasing day by day then need of improving boiler efficiency becomes a subtle task. Presently the bagasse is mainly used to generate electricity as an energy cogeneration. The present paper highlights the design and development of Embedded Fuzzy Module for energy efficiency improvement of bagasse boiler for a sugar factory intended for cogeneration system. The multipurpose boiler employed in the Sugar Factory generates products like Heat, Steam, and Gasses etc. The generated steam by boiler otherwise going waste is used for electricity generation purposes. We propose an Embedded Fuzzy Module that helps the utilization of steam for Electric power generation with the improved efficiency. Amount of air blown in, supply of biofuel, quantity of water and steam outlet form the control parameters of a boiler. These parameters are interdependent of one another. B. Hemalathaet al (1) proposed a dynamic behavior of the drum and water level of the boiler controlled by PID controller. They have developed mathematical model and studied various responses of the system N. Magasiner et al introduced a control parameter of the boiler and their effect using labview (2). Yonghong Huanget al (3) proposed a new advanced genetic adaptive control strategy for drum level regulation. They introduced the self-tuned parameters as a novel genetic adaptive mechanism using MATLAB." @default.
• W2182752961 created "2016-06-24" @default.
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• W2182752961 date "2013-01-01" @default.
• W2182752961 modified "2023-09-27" @default.
• W2182752961 title "Embedded Fuzzy Module for Sugar Industrial Boiler Parameter Control" @default.
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