Road transport represents one of the greatest areas of challenge for energy efficiency. A growing percentage of petrol usage is due to consumption in the transportation sector. However, in other sectors, petrol has been recently partially or totally substituted by other fuels. The need for worldwide action to achieve energy efficiency in the transportation sector has been recognized by the agencies of the United Nations and other international governmental and non‐governmental organizations. Transportation is one of the key factors for the growth and development of Malaysian economy. Currently, more than 80% of primary energy consumption based on fossil fuels and demand stays high and is supposed continually grow in the future. Even if technology developments eventually able to reduce specific consumption, world energy demand is likely to increase in line with its population. This sector also accounts for a substantial amount of air pollution in cities and contributes significantly to greenhouse gas emissions. This paper aims to analyze factors influencing the pattern and emission level of energy consumption in the transportation sector of Malaysia and extrapolates the total energy demand and vehicular emissions.

A solar chimney power plant system is theoretically designed for future erection in Jordan. Analytical analysis of the system is simulated by mathematical software. The actual values of solar irradiation in Jordan are used in the simulation to predict the power output of the solar chimney power plant. The output results of the maximum (inlet) values of velocity, pressure, and mass flow rate of air versus the chimney height variation are obtained. Furthermore, the electrical power output and the efficiency of chimney versus chimney height variation were determined. For a solar collector diameter of 40 m and a chimney diameter of 3.5 m, the maximum power output (85 kW) was obtained for a chimney height of 210 m.

This paper provides a comprehensive review of the current state of research on Brain Computer Interfaces (BCIs) and their potential applications. The objective of this study was to gather information from various sources, including journal articles, conference papers, and books, to analyze the advancements and limitations of BCIs. A systematic literature review was conducted using databases such as PubMed, IEEE Xplore, and Google Scholar, with specific keywords related to BCIs and their applications. The selected studies were thoroughly analyzed to identify common themes, methodologies, and key findings. The main contributions of this review include an overview of different types of BCIs, their applications in fields such as medicine, entertainment, and education, and the challenges and limitations faced by BCI technology. The findings highlight the potential of BCIs in restoring motor function, improving the quality of life for individuals with various conditions, and enhancing human-technology interaction. Furthermore, the review identifies future research directions, including signal processing improvements, exploring hybrid and multimodal approaches, conducting long-term real-world studies, addressing ethical considerations, and prioritizing user-centred design. This comprehensive analysis of existing literature provides valuable insights for researchers and practitioners in the field of BCIs and sets the stage for future advancements in this rapidly evolving domain.

This paper represents the possibility of using the TEC-Thermo Electric Coolers in cooling applications. Such application with small area away connected is possible with the use solar energy as power source. Factors affecting the performance of TE will discussed also. The effect of Heat Sink Extender (HSE) for TEC assembling will be considered. TEC performance is tested for different modules. The assembling for best performance of TEC and the supply requirements using PV as a power source is presented for potential commercialization.

The paper intends to select the most economical and reliable expansion alternative of a composite power system to meet the expected future load growth. In order to reduce time computational quantity, a heuristic algorithm is adopted for composite power system reliability evaluation is proposed. The proposed algorithm is based on Monte-Carlo simulation method. The reliability indices are estimated for system base case and for the case of adding peaking generation units. The least cost reserve margin for the addition of five 20MW generating units sequentially is determined. Using the proposed algorithm an increment comparison approach used to illustrate the effect of the added units on the interruption and on the annual net gain costs. A flow chart introduced to explain the basic methodology to have an adequate assessment of a power system using Monte Carlo Simulation. The IEEE RTS (24-bus, 38-line) and The Jordanian Electrical Power System (46-bus and 92-line) were examined to illustrate how to make decisions in power system planning and expansions.