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Simulation and Optimization of Biomass Based Hybrid Generation System for Rural Electrification

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Power Electronics and Renewable Energy Systems

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 326))

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Abstract

This paper focuses on the design and optimal sizing of hybrid Biomass-Solar Photovoltaic system for a particular load centre with the goal of minimizing Green House Gas (GHG) emissions. First, resource data has been collected from the existing Biomass project activity at Kadaneri village of T. Kallupati, Tamil Nadu, India. The selected region with 9.66°N Latitude and 77.79°E Longitude has an annual average solar insolation of 4.86 kWh/m2 validated through NASA Surface Meteorology and Solar energy and the biomass fuels available in the region are Juliflora, Bagasse, Coconut shell, Paddy husk etc. estimated to be 265 tons per day on average. Then, based on the resource and load data, a comparative analysis of Grid alone, Biomass alone and PV-Biomass hybrid system using HOMER 2.81 (Hybrid Optimization Model for Electric Renewables) software is done for village panchayats in T. Kallupatti. In particular, the optimization of Biomass feedstock combination for maximum power output is carried out using Neural Network (NN) toolbox of Matlab 2010a. The results prove the effectiveness of the Stand-alone Solar-Biomass hybrid system for the chosen location in terms of cost and emissions.

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Acknowledgments

The authors express their sincere thanks to AMBEML’s Vice president for providing the data of Biomass plant used for this research work and the Management of Thiagarajar College of Engineering, Madurai for supporting the research.

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Correspondence to M. Mahalakshmi .

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Mahalakshmi, M., Latha, S. (2015). Simulation and Optimization of Biomass Based Hybrid Generation System for Rural Electrification. In: Kamalakannan, C., Suresh, L., Dash, S., Panigrahi, B. (eds) Power Electronics and Renewable Energy Systems. Lecture Notes in Electrical Engineering, vol 326. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2119-7_41

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  • DOI: https://doi.org/10.1007/978-81-322-2119-7_41

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2118-0

  • Online ISBN: 978-81-322-2119-7

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