M.S. Hossain

Development of solar energy and present policies in Malaysia

Solar energy is regarded a clean renewable energy source, with great potential for environment-friendly electricity generation. Properly harvested, it can optimally benefit. Malaysia has a particularly abundant source of renewable energies; for solar, as evidenced by a 4.21kWh/m2 to 5.56kWh/m2 average daily radiation with a high of 6.8kWh/m2 (purportedly in August and November). Present installed capacity totaling 20,493MW, is estimated to reach 23,099MW maximum-demand capacity in 2020, by when 190MWp of cumulative solar energy would have been installed. Incentives should be offered to boost solar energys economic feasibility. This paper examines the Malaysian governments various policies on, and implementation of, solar energy technology. It suggests methods and policies for provision of safe, cost-effective, quality energy, and discusses environmental sustainability and diversification of solar energy resource.

Solar energy policy: Malaysia vs developed countries

Countries all over the world is enquiring and taking efforts to implement the environment friendly renewable energy to mitigate the negative impacts of fossil fuels on the environment and their fast depletion. To reduce the reliance on fossil fuels and environmental degradation, many countries have focused and formulated solar energy related policies to increase its share into energy mix. In this paper a review of the solar energy policies, implemented in the developed countries and Malaysia, are discussed as well as the discussion of successful existing solar energy policies in the developed countries. According to the 2010 BP Statistical Energy Survey, the world cumulative installed solar energy capacity was 22928.9 MW in 2009, a change of 46.9 % compared to 2008. After the review of literature, FiT, RPS and Incentives are found to be the most beneficial energy policies implemented by the developed countries. These policies create the paths to promote the development and implementation of renewable energy technologies. Also, the current policies related to solar energy in Malaysia are investigated and compared with developed countries.

Global solar energy use and social viability in Malaysia

Along with the enhancement of technology and alarming of global warming, various types of technologies are advanced worldwide nowadays to harness the energy from the sun such as solar thermal energy, ocean thermal energy conversion, solar ponds, solar tower and photovoltaic systems to utilize the energy in the majority of domestic applications and industrial sector to a certain extent. Subsequently, gradual increase usage of solar energy requires creating awareness among public to protect the environment in term of green campaign which is one of the hot topics among the Malaysians where there are many organizations organizing green campaign such as Environmental Protection Society Malaysia (EPSM), Malaysia Environment NGOs (MENGO) and Treat Every Environment Special Sdn. Bhd. (TRESS). Therefore, this study examines solar energy production and consumption worldwide by looking at various existing solar technologies to have the understanding of each technology. This article also intends to catch up specifically the social viability of solar energy production and use, with the availability of the resources for the full scale development.

Application of the hybrid ANFIS models for long term wind power density prediction with extrapolation capability

In this paper, the suitability and performance of ANFIS (adaptive neuro-fuzzy inference system), ANFIS-PSO (particle swarm optimization), ANFIS-GA (genetic algorithm) and ANFIS-DE (differential evolution) has been investigated for the prediction of monthly and weekly wind power density (WPD) of four different locations named Mersing, Kuala Terengganu, Pulau Langkawi and Bayan Lepas all in Malaysia. For this aim, standalone ANFIS, ANFIS-PSO, ANFIS-GA and ANFIS-DE prediction algorithm are developed in MATLAB platform. The performance of the proposed hybrid ANFIS models is determined by computing different statistical parameters such as mean absolute bias error (MABE), mean absolute percentage error (MAPE), root mean square error (RMSE) and coefficient of determination (R2). The results obtained from ANFIS-PSO and ANFIS-GA enjoy higher performance and accuracy than other models, and they can be suggested for practical application to predict monthly and weekly mean wind power density. Besides, the capability of the proposed hybrid ANFIS models is examined to predict the wind data for the locations where measured wind data are not available, and the results are compared with the measured wind data from nearby stations.

The Hybrid Solar Power/Wind System for Energy Production, Observation, Application, and Simulation

Abstract This study illustrates a crossbreed arrangement of the sun-oriented and wind innovation that uses the sun-powered photovoltaic cells and the wind turbine frameworks, which can be most advantageously understood through momentous researches. The sunlight-based photovoltaic, wind turbine, and the related advancements are being updated step by step. These innovations will be controlled by distinctive strategies and will be fully described in this chapter. The use of both the renewable sources of energy will also be adequately mentioned. The use of a crossbreed controller for renewable energy system will likewise be discussed in this chapter. This perception will be in contrast with the diverse variations of crossover frameworks which can help to decide on a better innovation later on. As a consequence, this section can bring about an experience of a flow pattern of examination around the globe.