Ionic liquids (ILs) have been proposed as a more benign replacement to toxic and volatile organic solvents in enzymatic biodiesel production, used to minimize methanol inhibition effect and enhance the stability of immobilized enzyme. Despite their several advantages, ILs are expensive, which...

Energy demand profiling of varied stocks within the Faculty of Engineering is investigated, comprising of audit activities like the performance optimization of air-conditioners and other energy appliances. Using a newly-developed renewable energy (RE) calculator, standard energy performance...

Recently, Korea has upgraded the luminance standard of classrooms and started to introduce the air-conditioning system in order to enhance pleasantness of the learning environment. In addition, as use of auxiliary equipment, such as TV, VTR and computer, is increasing and due to school meals,...

We use a panel data set of 193 countries over 1990-2017 period, by employ the Seemingly unrelated regression (SUR), three stage least squares regression (3SLS), dynamic model two-step generalized method of moments and two-step system generalized method of moments approach to investigate the...

The aim of this paper is to examine various socio-economic, dwelling-related and appliance-related factors which influence electricity consumption in Montenegro. Data was collected via questionnaires completed by 964 households in the second quarter of 2019 in Montenegro. Structural Equation...

The increase demand for electricity and the non-renewable nature of fossil energy makes the move towards renewable energies required. However, the common problem of renewable sources, which is the intermittence, is overcome by the hybridization of complementary sources. Thus, whenever the load...

Steel is the inevitable material for the infrastructure and has the strategic importance for the growth of the country. Iron and steel making industry is one of the most energy-intensive industries, with 5% of the worlds total energy consumption. Therefore, it is required to develop suitable and...

Building energy data analysis is a major branch of smart city development research. The usual back propagation neural network model for building energy prediction has problems of unclear physical significance, poor data generalization and low fitting accuracy. Therefore, a composite prediction...

The study aims to examine the survey of earlier literature that deals with economic growth, energy consumption and carbon emission, both single country studies as well as multi-county studies that covers the period till 2019. The main focus of this survey is on the coverage of countries,...

Energy Transition towards a low-carbon emission energy system has been a long-term strategy for Germany and China. Both countries are expected to take the lead on the global effort to achieve clean energy and greenhouse gas emissions reduction. Although Germany and China have different...