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Optimal waste-to-energy strategy assisted by GIS for sustainable solid waste management

Municipal solid waste (MSW) management has become more complex and costly with the rapid socio-economic development and increased volume of waste. Planning a sustainable regional waste management strategy is a critical step for the decision maker. There is a great potential for MSW to be used for th...

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Main Authors: Tan, S. T., Hashim, Haslenda, Lee, C. T., Lim, J. S., Kanniah, K. D.
Format: Article
Language:English
Published: Institute of Physics Publishing 2014
Subjects:
TP Chemical technology
Online Access:http://eprints.utm.my/id/eprint/54358/1/S.T.Tan2014_Optimalwaste-to-energystrategy.pdf
http://eprints.utm.my/id/eprint/54358/
http://iopscience.iop.org/article/10.1088/1755-1315/18/1/012159/pdf
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spelling my.utm.543582018-08-12T03:49:22Z http://eprints.utm.my/id/eprint/54358/ Optimal waste-to-energy strategy assisted by GIS for sustainable solid waste management Tan, S. T. Hashim, Haslenda Lee, C. T. Lim, J. S. Kanniah, K. D. TP Chemical technology Municipal solid waste (MSW) management has become more complex and costly with the rapid socio-economic development and increased volume of waste. Planning a sustainable regional waste management strategy is a critical step for the decision maker. There is a great potential for MSW to be used for the generation of renewable energy through waste incineration or landfilling with gas capture system. However, due to high processing cost and cost of resource transportation and distribution throughout the waste collection station and power plant, MSW is mostly disposed in the landfill. This paper presents an optimization model incorporated with GIS data inputs for MSW management. The model can design the multi-period waste-to-energy (WTE) strategy to illustrate the economic potential and tradeoffs for MSW management under different scenarios. The model is capable of predicting the optimal generation, capacity, type of WTE conversion technology and location for the operation and construction of new WTE power plants to satisfy the increased energy demand by 2025 in the most profitable way. Iskandar Malaysia region was chosen as the model city for this study Institute of Physics Publishing 2014 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/54358/1/S.T.Tan2014_Optimalwaste-to-energystrategy.pdf Tan, S. T. and Hashim, Haslenda and Lee, C. T. and Lim, J. S. and Kanniah, K. D. (2014) Optimal waste-to-energy strategy assisted by GIS for sustainable solid waste management. 8th International Symposium of The Digital Earth (ISDE8), 18 (1). ISSN 1755-1315 http://iopscience.iop.org/article/10.1088/1755-1315/18/1/012159/pdf DOI: 10.1088/1755-1315/18/1/012159
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TP Chemical technology
spellingShingle TP Chemical technology
Tan, S. T.
Hashim, Haslenda
Lee, C. T.
Lim, J. S.
Kanniah, K. D.
Optimal waste-to-energy strategy assisted by GIS for sustainable solid waste management
description Municipal solid waste (MSW) management has become more complex and costly with the rapid socio-economic development and increased volume of waste. Planning a sustainable regional waste management strategy is a critical step for the decision maker. There is a great potential for MSW to be used for the generation of renewable energy through waste incineration or landfilling with gas capture system. However, due to high processing cost and cost of resource transportation and distribution throughout the waste collection station and power plant, MSW is mostly disposed in the landfill. This paper presents an optimization model incorporated with GIS data inputs for MSW management. The model can design the multi-period waste-to-energy (WTE) strategy to illustrate the economic potential and tradeoffs for MSW management under different scenarios. The model is capable of predicting the optimal generation, capacity, type of WTE conversion technology and location for the operation and construction of new WTE power plants to satisfy the increased energy demand by 2025 in the most profitable way. Iskandar Malaysia region was chosen as the model city for this study
format Article
author Tan, S. T.
Hashim, Haslenda
Lee, C. T.
Lim, J. S.
Kanniah, K. D.
author_facet Tan, S. T.
Hashim, Haslenda
Lee, C. T.
Lim, J. S.
Kanniah, K. D.
author_sort Tan, S. T.
title Optimal waste-to-energy strategy assisted by GIS for sustainable solid waste management
title_short Optimal waste-to-energy strategy assisted by GIS for sustainable solid waste management
title_full Optimal waste-to-energy strategy assisted by GIS for sustainable solid waste management
title_fullStr Optimal waste-to-energy strategy assisted by GIS for sustainable solid waste management
title_full_unstemmed Optimal waste-to-energy strategy assisted by GIS for sustainable solid waste management
title_sort optimal waste-to-energy strategy assisted by gis for sustainable solid waste management
publisher Institute of Physics Publishing
publishDate 2014
url http://eprints.utm.my/id/eprint/54358/1/S.T.Tan2014_Optimalwaste-to-energystrategy.pdf
http://eprints.utm.my/id/eprint/54358/
http://iopscience.iop.org/article/10.1088/1755-1315/18/1/012159/pdf
_version_ 1643653513826271232
score 13.211869

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