Please use this identifier to cite or link to this item: http://umt-ir.umt.edu.my:8080/handle/123456789/14250
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dc.contributor.authorAliashim Albani-
dc.date.accessioned2019-11-27T06:50:45Z-
dc.date.available2019-11-27T06:50:45Z-
dc.date.issued2017-07-
dc.identifier.urihttp://umt-ir.umt.edu.my:8080/xmlui/handle/123456789/14250-
dc.description.abstractThe growing interest in wind energy in Malaysia is driven primarily by the government’s aspiration in achieving the national target on renewable energy generation capacity. Hence, prior to embarking a commercial wind energy project in Malaysia, a detailed study should be conducted on the potential of wind resources and identification of appropriate policy. The designed policy should take into account the quality of the local wind speed and existing renewable energy incentives in Malaysia. This study predominantly aims for identifying the best policy framework model that suits the wind energy condition in Malaysia. Therefore, to accomplish this goal, the research endeavours the evaluation of potential wind resources based on three aspects, namely (i) installation of wind masts, measurement and analysis of primary wind data, (ii) establishing wind-related models that accomodate Malaysia’s scenario, and (iii) derivation of a closed-form equation and determination of the best tariff rates and remuneration models. Initially, the iv dependence of power law indexes on surface temperature and terrain types was studied as they are associated with the form of exponential fits. Next, the wind turbine ranking method was improved by incorporating the crucial factors such as height restriction law, wind park capacity target and wake losses into the recent wind turbine ranking framework method. Finally, the optimal tariff modelling was carried out by deriving the generation-cost-based tariff rate determination model, front-loaded remuneration models, and tariff rate differentiation for implementation in Malaysia. The sensitivity analyses were employed to determine the impact of several factors such as the investment costs, discounting rates, debt and equity share, debt interest rates, and capital allowance.en_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Terengganuen_US
dc.subjectWind power -- Dissertations -- Malaysiaen_US
dc.subjectWind energy conversion systems -- Dissertations -- Malaysiaen_US
dc.subjectRenewable energy sources -- Dissertations -- Malaysiaen_US
dc.subjectTJ 820 .A4 2017en_US
dc.titleOptimal grid-connected tariff of wind energy conversion systems for Malaysiaen_US
dc.typeThesisen_US
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