Feasibility assessment of wind energy resources in Malaysia based on NWP models

Nor, Khalil Md; Shaaban, Mohamed; Rahman, Hasimah Abdul

doi:10.1016/j.renene.2013.07.001

Cited by 58 publications

(23 citation statements)

References 13 publications

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“…The estimated CAPEX is confirmed with the reported data of CAPEX in Asia [20], and the neighboring countries. The estimated CAPEX is also in line with the estimation by [27] after summing the turbine-generator price, freight cost, balance of plant and installation costs and annual overhead costs except maintenance cost. The annual operational and maintenance cost for OPEX is estimated as 2% per year.…”

Section: The Investment Costmentioning

confidence: 70%

The Optimal Generation Cost-Based Tariff Rates for Onshore Wind Energy in Malaysia

et al. 2017

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Abstract:The government of Malaysia has recently decided to explore the feasibility of wind energy to generate electricity in the country. Their ambition is to achieve a measureable target in the percentage contribution of electricity generated by renewable energy technology in the national electricity generation mix. As part of this initiative, a study of wind energy policy has been conducted by identifying the optimal feed-in tariff (FiT) rates to support the development of wind energy in the country. The aim of this paper is to calculate the optimal level of tariff that is suitable with local wind conditions. A closed-form equation for optimal feed-in tariff rate of wind energy with consideration of the availability of capital allowance has been developed. The focus is on small-and utility-scale wind turbine installations. As a result, by considering the availability of capital allowance, the optimal FiT rates for small-scale wind turbines in Malaysia are between 0.9245-1.1313 RM/kWh, while utility-scale rates are between 0.7396 and 0.9050 RM/kWh. The level of FiT is changed with the changing value of economic parameters. Kudat, in northern Borneo, has been identified as a prime site for wind energy development in the country; however, more work needs to be conducted, including the development of a regional wind map and measurement of wind data at more new potential sites.

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Section: The Investment Costmentioning

confidence: 70%

The Optimal Generation Cost-Based Tariff Rates for Onshore Wind Energy in Malaysia

et al. 2017

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“…Other than that, many prior studies have estimated the potential of wind energy only based on the average wind speed [17]. Nonetheless, some researchers indicated that wind energy potential is indeed based on the CF of wind turbine, as carried out by [18], whereby the energy produced by 21 kW wind turbine was simulated at the northern part of Kudat in Sabah.…”

Section: Introductionmentioning

confidence: 99%

Wind Energy Potential and Power Law Indexes Assessment for Selected Near-Coastal Sites in Malaysia

Albani

Ibrahim

2017

Energies

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This paper investigated the wind energy potential by analysing a certain amount of gathered 10-min measured data at four stations located at coastal sites in Malaysia, i.e., Kudat, Mersing, Kijal, and Langkawi. The wind data are collected from a total of four new wind measurement masts with sensors mounted at various heights on the tower. The measured data have enabled the establishment of wind resource maps and the power law indexes (PLIs) analysis. In addition, the dependence of PLI upon surface temperature and terrain types is studied, as they are associated to the form of exponential fits. Moreover, the accuracy of exponential fits is assessed by comparing the results with the 1/7 law via the capacity factor (CF) discrepancies. In order to do so, the wind turbine with a hub-height similar to the maximum height of the measured data at each site is selected to simulate energy production. Accordingly, the discrepancy of CF based on the extrapolated data by employing 1/7 laws and exponential fits, in spite of being computed using measured data, is determined as well. Furthermore, the large discrepancy of the wind data and the CF, which has been determined with the application of 1/7, is compared to the exponential fits. This is because; discrepancy in estimation of vertical wind speed could lead to inaccurate CF computation. Meanwhile, from the energy potential analysis based on the computed CF, only Kudat and Mersing display a promising potential to develop a medium capacity of wind turbine power, while the other sites may be suitable for wind turbines at a small scale.

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“…Though various studies have discovered that the general public in Malaysia is in favour of renewable technologies (Ahmad, et al 2015;Ahmad and Tahar, 2014c;Alam et al, 2014;Lim and Lam, 2014), there is a lack of understanding on the public attitudes and motivation to use renewable technologies, particularly solar PV technology (Solangi et al, 2015;Muhammad-Sukki et al, 2011). There are numerous studies available from developed counties evaluating the prospects of solar PV technology from the public's perspective (Musall and Kuik, 2011;Park and Oh, 2014;Schelly, 2014), but for developing countries, such as Malaysia, these studies are limited in number and are more focused on technical and policy considerations (Chua and Oh, 2012;Lau et al, 2009;Maulud and Saidi, 2012;Mekhilef et al, 2012;Murni et al, 2013;Nor et al, 2014). Moreover, research findings from developed countries cannot be applied to developing countries owing to their specific social, economic and political setup (Dewan and Kraemer, 2000).…”

Section: Introductionmentioning

confidence: 99%

Public acceptance of residential solar photovoltaic technology in Malaysia

Ahmad

Tahar

Cheng

et al. 2017

PRR

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Purpose Gaining independence from fossil fuels and combating climate change are the main factors to increase the generation of electricity from renewable fuels. Amongst the renewable technologies, solar photovoltaic (PV) is believed to have the largest potential. However, the number of people adopting solar PV technologies is still relatively low. Therefore, the purpose of this paper is to examine the household consumers’ acceptance of solar PV technology being installed on their premises. Design/methodology/approach To examine the solar PV technology acceptance, this study uses technology acceptance model (TAM) as a reference framework. A survey was conducted to gather data and to validate the research model. Out of 780 questionnaires distributed across Malaysia, 663 were returned and validated. Findings The analysis revealed that perceived ease of use, perceived usefulness and attitude to use significantly influenced behavioural intention to use solar PV technology. Research limitations/implications This study contributes by extending the understanding of public inclination towards the adoption of solar PV technology. Also, this study contributes in identifying the areas which need to be examined further. However, collecting data from urban peninsular Malaysian respondents only limits the generalization of the results. Practical implications On the policy front, this study reveals that governmental support is needed to trigger PV acceptance. Originality/value This paper uses TAM to analyse the uptake of solar PV technology in Malaysian context.

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Feasibility assessment of wind energy resources in Malaysia based on NWP models

Cited by 58 publications

References 13 publications

The Optimal Generation Cost-Based Tariff Rates for Onshore Wind Energy in Malaysia

The Optimal Generation Cost-Based Tariff Rates for Onshore Wind Energy in Malaysia

Wind Energy Potential and Power Law Indexes Assessment for Selected Near-Coastal Sites in Malaysia

Public acceptance of residential solar photovoltaic technology in Malaysia

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