Energy analysis and modelling

The overall objective of the study is to provide reliable information on key factors affecting the economics of electricity generation using a range of technologies for Singapore. To address these issues, an energy model of Singapore from 2000 to 2030 is developed using the MARKAL framework Th...

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Main Author: Yeo, Wei Ling.
Other Authors: Shaligram Pokharel
Format: Final Year Project
Language:English
Published: 2009
Subjects:
Online Access:http://hdl.handle.net/10356/16711
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-167112023-03-04T18:21:00Z Energy analysis and modelling Yeo, Wei Ling. Shaligram Pokharel School of Mechanical and Aerospace Engineering DRNTU::Engineering::Mechanical engineering::Energy conservation The overall objective of the study is to provide reliable information on key factors affecting the economics of electricity generation using a range of technologies for Singapore. To address these issues, an energy model of Singapore from 2000 to 2030 is developed using the MARKAL framework The model is an optimization tool designed to find the least cost strategies. For power generation technologies, it takes into account the financial risks as well as their economic performance. Based on the analysis of the results, there are three significant findings in the scenarios. Namely, renewable energy is highly favourable due to its low emission of CO2 throughout it life cycle. Secondly if given a choice, it will favour a few technologies over the others unless boundaries are placed. Lastly, if there is a change in demand, it will only affect the electricity output and not the technologies used. In conclusion, although the model does not fully reflect the entire Singapore energy situation, it is able to evaluate the potential technologies for electricity generating sector. It is to be noted that the preferred technologies depend on circumstances of each project and technology. Bachelor of Engineering (Mechanical Engineering) 2009-05-28T02:38:38Z 2009-05-28T02:38:38Z 2009 2009 Final Year Project (FYP) http://hdl.handle.net/10356/16711 en Nanyang Technological University 82 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Mechanical engineering::Energy conservation
spellingShingle DRNTU::Engineering::Mechanical engineering::Energy conservation
Yeo, Wei Ling.
Energy analysis and modelling
description The overall objective of the study is to provide reliable information on key factors affecting the economics of electricity generation using a range of technologies for Singapore. To address these issues, an energy model of Singapore from 2000 to 2030 is developed using the MARKAL framework The model is an optimization tool designed to find the least cost strategies. For power generation technologies, it takes into account the financial risks as well as their economic performance. Based on the analysis of the results, there are three significant findings in the scenarios. Namely, renewable energy is highly favourable due to its low emission of CO2 throughout it life cycle. Secondly if given a choice, it will favour a few technologies over the others unless boundaries are placed. Lastly, if there is a change in demand, it will only affect the electricity output and not the technologies used. In conclusion, although the model does not fully reflect the entire Singapore energy situation, it is able to evaluate the potential technologies for electricity generating sector. It is to be noted that the preferred technologies depend on circumstances of each project and technology.
author2 Shaligram Pokharel
author_facet Shaligram Pokharel
Yeo, Wei Ling.
format Final Year Project
author Yeo, Wei Ling.
author_sort Yeo, Wei Ling.
title Energy analysis and modelling
title_short Energy analysis and modelling
title_full Energy analysis and modelling
title_fullStr Energy analysis and modelling
title_full_unstemmed Energy analysis and modelling
title_sort energy analysis and modelling
publishDate 2009
url http://hdl.handle.net/10356/16711
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