Optimization approach for greenhouse gas to green energy for a low carbon region of Iskandar Malaysia

Landfill gas (LFG) like any other greenhouse gases (GHG) is a threat to the environment; hence its mitigation through effective utilization is necessary. The objective of this study is to estimate the amount of LFG captured using IPCC methodology and then develop optimization model for the LFG utili...

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Main Authors: Ahmed, Saeed Isa, Johari, Anwar, Hashim, Haslenda, Mat, Ramli, Lim, Jeng Shiun, Jusoh, Mazura, Alkali, Habib, Hafshar, Siti Shamsi
Format: Article
Language:English
Published: Penerbit UTM Press 2015
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Online Access:http://eprints.utm.my/id/eprint/56194/1/AnwarJohari2015_OptimizationApproachforGreenhouseGas.pdf
http://eprints.utm.my/id/eprint/56194/
http://dx.doi.org/10.11113/jt.v75.5157
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spelling my.utm.561942017-11-01T04:16:55Z http://eprints.utm.my/id/eprint/56194/ Optimization approach for greenhouse gas to green energy for a low carbon region of Iskandar Malaysia Ahmed, Saeed Isa Johari, Anwar Hashim, Haslenda Mat, Ramli Lim, Jeng Shiun Jusoh, Mazura Alkali, Habib Hafshar, Siti Shamsi TP Chemical technology Landfill gas (LFG) like any other greenhouse gases (GHG) is a threat to the environment; hence its mitigation through effective utilization is necessary. The objective of this study is to estimate the amount of LFG captured using IPCC methodology and then develop optimization model for the LFG utilization for green energy production for Iskandar Malaysia. Of the three MSW Scenarios considered, the most appropriate was Scenario MIX, giving projection of MSW to landfill ranging from 600,000 tons in 2010 to 711,000 tons in 2035 for Iskandar Malaysia. From this, a mean annual LFG capture of 21,672 tons was estimated. The Mixed Integer Programing model considered Scenario ST as the more appropriate of the two LFG Scenarios, favoring combined heat and power generation with steam turbines over other options. The optimal result yielded a mean annual electricity and steam generation of 20,588 MWh (2.3 MW) and 150 million MJ respectively. The mean electricity generation represents 0.16% and 0.02% of the maximum electricity demand for Iskandar Malaysia and Peninsular Malaysia respectively. Additionally, GHG emission reduction of 12,000 tons CO2 equivalent was achieved. The findings revealed the potentials in LFG capture from the case study in terms of green energy and GHG emission reduction for sustainable development. Penerbit UTM Press 2015-01 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/56194/1/AnwarJohari2015_OptimizationApproachforGreenhouseGas.pdf Ahmed, Saeed Isa and Johari, Anwar and Hashim, Haslenda and Mat, Ramli and Lim, Jeng Shiun and Jusoh, Mazura and Alkali, Habib and Hafshar, Siti Shamsi (2015) Optimization approach for greenhouse gas to green energy for a low carbon region of Iskandar Malaysia. Jurnal Teknologi, 75 (6). pp. 7-16. ISSN 2180-3722 http://dx.doi.org/10.11113/jt.v75.5157 DOI:10.11113/jt.v75.5157
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
Ahmed, Saeed Isa
Johari, Anwar
Hashim, Haslenda
Mat, Ramli
Lim, Jeng Shiun
Jusoh, Mazura
Alkali, Habib
Hafshar, Siti Shamsi
Optimization approach for greenhouse gas to green energy for a low carbon region of Iskandar Malaysia
description Landfill gas (LFG) like any other greenhouse gases (GHG) is a threat to the environment; hence its mitigation through effective utilization is necessary. The objective of this study is to estimate the amount of LFG captured using IPCC methodology and then develop optimization model for the LFG utilization for green energy production for Iskandar Malaysia. Of the three MSW Scenarios considered, the most appropriate was Scenario MIX, giving projection of MSW to landfill ranging from 600,000 tons in 2010 to 711,000 tons in 2035 for Iskandar Malaysia. From this, a mean annual LFG capture of 21,672 tons was estimated. The Mixed Integer Programing model considered Scenario ST as the more appropriate of the two LFG Scenarios, favoring combined heat and power generation with steam turbines over other options. The optimal result yielded a mean annual electricity and steam generation of 20,588 MWh (2.3 MW) and 150 million MJ respectively. The mean electricity generation represents 0.16% and 0.02% of the maximum electricity demand for Iskandar Malaysia and Peninsular Malaysia respectively. Additionally, GHG emission reduction of 12,000 tons CO2 equivalent was achieved. The findings revealed the potentials in LFG capture from the case study in terms of green energy and GHG emission reduction for sustainable development.
format Article
author Ahmed, Saeed Isa
Johari, Anwar
Hashim, Haslenda
Mat, Ramli
Lim, Jeng Shiun
Jusoh, Mazura
Alkali, Habib
Hafshar, Siti Shamsi
author_facet Ahmed, Saeed Isa
Johari, Anwar
Hashim, Haslenda
Mat, Ramli
Lim, Jeng Shiun
Jusoh, Mazura
Alkali, Habib
Hafshar, Siti Shamsi
author_sort Ahmed, Saeed Isa
title Optimization approach for greenhouse gas to green energy for a low carbon region of Iskandar Malaysia
title_short Optimization approach for greenhouse gas to green energy for a low carbon region of Iskandar Malaysia
title_full Optimization approach for greenhouse gas to green energy for a low carbon region of Iskandar Malaysia
title_fullStr Optimization approach for greenhouse gas to green energy for a low carbon region of Iskandar Malaysia
title_full_unstemmed Optimization approach for greenhouse gas to green energy for a low carbon region of Iskandar Malaysia
title_sort optimization approach for greenhouse gas to green energy for a low carbon region of iskandar malaysia
publisher Penerbit UTM Press
publishDate 2015
url http://eprints.utm.my/id/eprint/56194/1/AnwarJohari2015_OptimizationApproachforGreenhouseGas.pdf
http://eprints.utm.my/id/eprint/56194/
http://dx.doi.org/10.11113/jt.v75.5157
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score 13.18916