An optimal electricity allocation model for the effective utilisation of energy sources in India with focus on biofuels

Purpose – Renewable energy sources are likely to play a major role in meeting the future energy requirement of a developing country like India. Among the various renewable energy sources, the bio‐energy plays a key role for the power generation. In this paper, an attempt is made to develop a fuzzy...

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Main Authors: S, Jebaraj, S, Iniyan, L, Suganthi, R, Goic
Format: Citation Index Journal
Published: 2008
Online Access:http://eprints.utp.edu.my/11681/
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spelling my.utp.eprints.116812015-09-08T03:52:27Z An optimal electricity allocation model for the effective utilisation of energy sources in India with focus on biofuels S, Jebaraj S, Iniyan L, Suganthi R, Goic Purpose – Renewable energy sources are likely to play a major role in meeting the future energy requirement of a developing country like India. Among the various renewable energy sources, the bio‐energy plays a key role for the power generation. In this paper, an attempt is made to develop a fuzzy based linear programming optimal electricity allocation model (OEAM) that minimizes the cost and determines the optimum allocation of different energy sources for the centralized and decentralized power generation in India with special emphasis to bio‐energy. Design/methodology/approach – The OEAM model optimizes and selects the appropriate energy options for the power generation on the factors such as cost, potential, demand, efficiency, emission and carbon tax. The objective function of the model is minimizing the cost of power generation. The other factors are used as constraints in the model. The fuzzy linear programming optimization approach is used in the model. Findings – The extents of energy sources distribution for the power generation in the year 2020 would be 15,800 GWh (4 per cent) from the coal based plants, 85,400 GWh (20 per cent) from the nuclear plants, 191,100 GWh (44 per cent) from the hydro plants, 22,400 GWh (5 per cent) from the wind mills, 45,520 GWh (11 per cent) from the biomass gasifier plants, 14,112 GWh (3 per cent) from the biogas plants, 8,400 GWh (2 per cent) from the solid waste, 33,600 GWh (8 per cent) from the cogeneration plants and 11,970 GWh (3 per cent) from the mini hydel plants, respectively. Originality/value – The OEAM has been developed for the electricity demand allocation for the year 2020. An extensive literature survey revealed that carbon tax and emission constraints were never used in the previous models and they are considered in the present model. 2008 Citation Index Journal PeerReviewed S, Jebaraj and S, Iniyan and L, Suganthi and R, Goic (2008) An optimal electricity allocation model for the effective utilisation of energy sources in India with focus on biofuels. [Citation Index Journal] http://eprints.utp.edu.my/11681/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description Purpose – Renewable energy sources are likely to play a major role in meeting the future energy requirement of a developing country like India. Among the various renewable energy sources, the bio‐energy plays a key role for the power generation. In this paper, an attempt is made to develop a fuzzy based linear programming optimal electricity allocation model (OEAM) that minimizes the cost and determines the optimum allocation of different energy sources for the centralized and decentralized power generation in India with special emphasis to bio‐energy. Design/methodology/approach – The OEAM model optimizes and selects the appropriate energy options for the power generation on the factors such as cost, potential, demand, efficiency, emission and carbon tax. The objective function of the model is minimizing the cost of power generation. The other factors are used as constraints in the model. The fuzzy linear programming optimization approach is used in the model. Findings – The extents of energy sources distribution for the power generation in the year 2020 would be 15,800 GWh (4 per cent) from the coal based plants, 85,400 GWh (20 per cent) from the nuclear plants, 191,100 GWh (44 per cent) from the hydro plants, 22,400 GWh (5 per cent) from the wind mills, 45,520 GWh (11 per cent) from the biomass gasifier plants, 14,112 GWh (3 per cent) from the biogas plants, 8,400 GWh (2 per cent) from the solid waste, 33,600 GWh (8 per cent) from the cogeneration plants and 11,970 GWh (3 per cent) from the mini hydel plants, respectively. Originality/value – The OEAM has been developed for the electricity demand allocation for the year 2020. An extensive literature survey revealed that carbon tax and emission constraints were never used in the previous models and they are considered in the present model.
format Citation Index Journal
author S, Jebaraj
S, Iniyan
L, Suganthi
R, Goic
spellingShingle S, Jebaraj
S, Iniyan
L, Suganthi
R, Goic
An optimal electricity allocation model for the effective utilisation of energy sources in India with focus on biofuels
author_facet S, Jebaraj
S, Iniyan
L, Suganthi
R, Goic
author_sort S, Jebaraj
title An optimal electricity allocation model for the effective utilisation of energy sources in India with focus on biofuels
title_short An optimal electricity allocation model for the effective utilisation of energy sources in India with focus on biofuels
title_full An optimal electricity allocation model for the effective utilisation of energy sources in India with focus on biofuels
title_fullStr An optimal electricity allocation model for the effective utilisation of energy sources in India with focus on biofuels
title_full_unstemmed An optimal electricity allocation model for the effective utilisation of energy sources in India with focus on biofuels
title_sort optimal electricity allocation model for the effective utilisation of energy sources in india with focus on biofuels
publishDate 2008
url http://eprints.utp.edu.my/11681/
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score 13.211869