Feedback-Rich Model for Assessing Feed-In Tariff Policy

The depletion of fossil fuels, environmental concerns, and security of supply risk has put an emphasis on renewable sources of electricity generation. However, the high cost of technology has compelled countries to develop support policies. Feed-in tariff (FIT), which has been successful in many cou...

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Main Authors: Salman, Ahmad, Razman, Mat Tahar
Format: Article
Language:English
Published: Taylor & Francis 2014
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/8218/1/Feedback-Rich_Model_for_Assessing_Feed-In_Tariff_Policy.pdf
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author Salman, Ahmad
Razman, Mat Tahar
author_facet Salman, Ahmad
Razman, Mat Tahar
author_sort Salman, Ahmad
collection UMP
description The depletion of fossil fuels, environmental concerns, and security of supply risk has put an emphasis on renewable sources of electricity generation. However, the high cost of technology has compelled countries to develop support policies. Feed-in tariff (FIT), which has been successful in many countries, is one such policy. In this study, a qualitative model is presented. This model takes a holistic perspective in developing renewable power infrastructure. To do this, this model takes into account social, environmental, learning effect, and the FIT policy in scaling up the renewable energy capacity. The shortcomings of the FIT policy are highlighted along with improvements in policy structure. Developed from policy makers’ perspective, this model also incorporates investors’ perception of renewable market, in a Malaysian context. Modified structure suggests making the reduction in the FIT price a variable. An additional source of income—by introducing carbon tax on fossil fuel-based generation—is suggested. Furthermore, the government’s policy target has to be made variable subject to support funds availability. The developed model’s aim is to determine whether or not the goal of transforming electricity supply chain using FIT is achievable. This model also aims to show that the qualitative model would serve as a tool for future dialogue and policy improvements.
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spelling UMPir82182015-03-03T09:40:15Z http://umpir.ump.edu.my/id/eprint/8218/ Feedback-Rich Model for Assessing Feed-In Tariff Policy Salman, Ahmad Razman, Mat Tahar T Technology (General) The depletion of fossil fuels, environmental concerns, and security of supply risk has put an emphasis on renewable sources of electricity generation. However, the high cost of technology has compelled countries to develop support policies. Feed-in tariff (FIT), which has been successful in many countries, is one such policy. In this study, a qualitative model is presented. This model takes a holistic perspective in developing renewable power infrastructure. To do this, this model takes into account social, environmental, learning effect, and the FIT policy in scaling up the renewable energy capacity. The shortcomings of the FIT policy are highlighted along with improvements in policy structure. Developed from policy makers’ perspective, this model also incorporates investors’ perception of renewable market, in a Malaysian context. Modified structure suggests making the reduction in the FIT price a variable. An additional source of income—by introducing carbon tax on fossil fuel-based generation—is suggested. Furthermore, the government’s policy target has to be made variable subject to support funds availability. The developed model’s aim is to determine whether or not the goal of transforming electricity supply chain using FIT is achievable. This model also aims to show that the qualitative model would serve as a tool for future dialogue and policy improvements. Taylor & Francis 2014 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/8218/1/Feedback-Rich_Model_for_Assessing_Feed-In_Tariff_Policy.pdf Salman, Ahmad and Razman, Mat Tahar (2014) Feedback-Rich Model for Assessing Feed-In Tariff Policy. Energy Technology & Policy: An Open Access Journal, 1 (1). pp. 45-51. (Published) http://dx.doi.org/10.1080/23317000.2014.969457 DOI: 10.1080/23317000.2014.969457
spellingShingle T Technology (General)
Salman, Ahmad
Razman, Mat Tahar
Feedback-Rich Model for Assessing Feed-In Tariff Policy
title Feedback-Rich Model for Assessing Feed-In Tariff Policy
title_full Feedback-Rich Model for Assessing Feed-In Tariff Policy
title_fullStr Feedback-Rich Model for Assessing Feed-In Tariff Policy
title_full_unstemmed Feedback-Rich Model for Assessing Feed-In Tariff Policy
title_short Feedback-Rich Model for Assessing Feed-In Tariff Policy
title_sort feedback rich model for assessing feed in tariff policy
topic T Technology (General)
url http://umpir.ump.edu.my/id/eprint/8218/1/Feedback-Rich_Model_for_Assessing_Feed-In_Tariff_Policy.pdf
work_keys_str_mv AT salmanahmad feedbackrichmodelforassessingfeedintariffpolicy
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