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Published VersionCC BY-NC-ND V3.0, Open Access
Conference paper
Carbon Dioxide Reduction Potential in Singapore's Power Generation Sector
Energy Procedia, Vol.61, pp.527-532
International Conference on Applied Energy (ICAE), 6th (Taipei, Taiwan, 30-May-2014–02-Jun-2014)
Elsevier BV
2014
Abstract
The steady rise in energy demand is expected to continue in Singapore due to the country's economic and population growth. According to projections, electricity generation will increase by some 30% from 2010 to 2025. Despite the rise in demand, Singapore authorities have announced a commitment to reduce carbon emissions by 7-11% below 2020 business-as-usual levels, with a half of reductions coming from the power generation sector.
In this study, we examine the average carbon dioxide (CO2) emissions or grid factor of power generation in Singapore, and aim to assess the carbon emissions reduction potential arising from different fuel and generation technology mixes. Adding alternative feedstocks and/or displacing existing generation technologies can have a wide range of consequences on the theoretical grid factor. We show that emissions savings can vary substantially depending on the type of fuel sources that are either added to the mix, or used to displace existing generation feedstocks. The results highlighted in this study provide a Singapore-specific example for targeting medium to longer-term emission savings from the power generation sector.
Details
- Title
- Carbon Dioxide Reduction Potential in Singapore's Power Generation Sector
- Authors
- Anton Finenko (Corresponding Author) - National University of SingaporeLynette Cheah - Singapore University of Technology and Design
- Publication details
- Energy Procedia, Vol.61, pp.527-532
- Conference details
- International Conference on Applied Energy (ICAE), 6th (Taipei, Taiwan, 30-May-2014–02-Jun-2014)
- Publisher
- Elsevier BV
- Date published
- 2014
- DOI
- 10.1016/j.egypro.2014.11.1163
- ISSN
- 1876-6102
- Copyright note
- © 2014 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license.
- Organisation Unit
- School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 991029278602621
- Output Type
- Conference paper
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