Comprehensive Review of Wind Energy in Malaysia: Past, Present, and Future Research Trends

Noman, Fuad; Alkawsi, Gamal; Abbas, Dallatu; Alkahtani, Ammar Ahmed; Tiong, Sieh Kiong; Ekanayake, Janaka

doi:10.1109/access.2020.3006134

Cited by 19 publications

(7 citation statements)

References 93 publications

(113 reference statements)

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“…To assess the performance of wind farms, it is essential to learn wind behavior, its speed and the location. Therefore, GIS tools are utilized to assess wind eligibility of a particular location, to design a wind energy system and to extract the historical wind data from geographical sites [173].…”

Section: Discussionmentioning

confidence: 99%

Energy Consumption and Spatial Assessment of Renewable Energy Penetration and Building Energy Efficiency in Malaysia: A Review

et al. 2021

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The development of sustainable energy systems is very important to addressing the economic, environmental, and social pressures of the energy sector. Globally, buildings consume up to 40% of the world’s total energy. By 2030, it is expected to increase to 50%. Therefore, the world is facing a great challenge to overcome these problems related to global energy production. Malaysia is one of the top consumers of primary energy in Asia. In 2018, primary energy consumption for Malaysia was 3.79 quadrillion btu at an average annual rate of 4.58%. In this paper, we have carried out a detailed literature review on several previous studies of energy consumption in the world, especially in Malaysia, and how geographical information system (GIS) methods have been used for the spatial assessment of energy efficiency. Indeed, strategies of energy efficiency are essential in energy policy that could be created using various approaches used for energy savings in buildings. The findings of this review reveal that, for estimating energy consumption, exploring renewable energy sources, and investigating solar radiation, several geographic information system techniques such as multiple criteria decision analysis (MCDA), machine learning (ML), and deep learning (DL) are mainly utilized. The result indicates that the fuzzy DS method can more reliably determine the optimal PV farm locations. The 3D models are also regarded as an effective tool for estimating solar radiation, since this method generates a 3D model exportable to software tools. In addition, GIS and 3D can contribute to several purposes, such as sunlight access to buildings in urban areas, city growth prediction models and analysis of the habitability of public places.

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Section: Discussionmentioning

confidence: 99%

Energy Consumption and Spatial Assessment of Renewable Energy Penetration and Building Energy Efficiency in Malaysia: A Review

et al. 2021

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“…Wind energy is one of the new energy sources with the lowest economic cost and the most advanced technical support [1]. Although the goal of carbon neutrality is advanced by the rapidly growing scale of wind power grid connection, its randomness, volatility, and intermittent nature inevitably pose a threat to a power grid's steady supply of power [2]. To avoid the negative effect of wind power grid connection, a reasonable plan for scheduling the output and consumption of wind power must be formulated.…”

Section: Introductionmentioning

confidence: 99%

Short‐term prediction of wind power based on temporal convolutional network and the informer model

Wang,

Chang,

Liu

et al. 2023

IET Generation Trans & Dist

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In this study, a new short‐term wind power prediction model based on a temporal convolutional network (TCN) and the Informer model is proposed to solve the problem of low prediction accuracy caused by large wind speed fluctuations in short‐term prediction. First, an input feature selection method based on the maximum information coefficient is proposed after considering the problem of information interference caused by excessively large input features. A dynamic time planning method is used to select the optimal input step of historical power. Then, the combined forecasting model composed of TCN and the Informer is constructed in accordance with the numerical weather forecast and historical power data. Lastly, the pinball loss function is used to expand the prediction model into a quantile regression model, measure the effect of volatility, quantify the volatility range of prediction, and finally, obtain a deterministic prediction result. The actual measured data of wind farms in the Bohai Sea area are selected for analysis and calculation. The results show that the prediction model proposed in this study achieves better accuracy in deterministic prediction and interval prediction than the traditional model.

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“…The goal is to reduce the greenhouse gas emission intensity of the gross domestic product, resulting in a 45% reduction by 2030 compared to 2005 levels [9]. To achieve this, there is a concerted effort to increase the share of renewable energy sources, with the goal of reaching 20% of the total energy sources capacity by 2025 [10]. This ongoing shift from traditional fossil fuels to renewable energy sources marks a highly promising development against climate change in Malaysia.…”

Section: Introductionmentioning

confidence: 99%

Potential of Offshore Wind Energy in Malaysia: An Investigation into Wind and Bathymetry Conditions and Site Selection

Li,

Carroll,

Ahmad

et al. 2023

Energies

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The government has set an ambitious target of renewable energy development in Malaysia. As a promising renewable energy source, wind energy plays an important role in the Malaysia renewable energy roadmap. Compared to onshore wind energy, offshore wind resources with better quality can be provided in the areas away from the coast, which has greater potential to contribute to electricity generation. Wind and bathymetry conditions are two important factors that determine the feasibility and economics of offshore wind turbines. In this paper, an investigation is conducted on wind and bathymetry conditions around Malaysia. The data source mainly originates from the Global Wind Atlas. The conditions of the coastal areas in different states and federal territories of both Peninsular Malaysia and East Malaysia are analysed, with a specific focus on wind speed, wind energy density, and bathymetry conditions in high-wind-speed regions. The data and survey are verified and compared with the past published literature. This paper aims to investigate the wind and bathymetry conditions around Malaysia, assess the potential of offshore wind energy, discuss the feasibility of offshore wind turbines, and provide references for offshore wind development in Malaysia.

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Comprehensive Review of Wind Energy in Malaysia: Past, Present, and Future Research Trends

Cited by 19 publications

References 93 publications

Energy Consumption and Spatial Assessment of Renewable Energy Penetration and Building Energy Efficiency in Malaysia: A Review

Energy Consumption and Spatial Assessment of Renewable Energy Penetration and Building Energy Efficiency in Malaysia: A Review

Short‐term prediction of wind power based on temporal convolutional network and the informer model

Potential of Offshore Wind Energy in Malaysia: An Investigation into Wind and Bathymetry Conditions and Site Selection

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