International Journal of

The number of electric cars has been growing rapidly, with further increases anticipated in the near future. Each country has a different share of electric vehicles (EVs) in their fleet–those with higher consumer spending, larger populations or better incentives stand out. Electric vehicles are an emerging and developing market. Most EV owners are characterized as innovators and early adopters, many are young or middle-aged with strong financial backgrounds. Many EV owners have a garage and charge their vehicle’s batteries at home during the night. Stakeholders agree that there is a need for improved public EV charging infrastructure with more services to facilitate the expansion of their use. Many studies have considered the optimal allocation of EV charging locations based on traffic data, infrastructure and financial reasons. Another important aspect is the emerging business potential of e-mobility solutions. Our article overviews the most common e-mobility business practices in Europe in general with emphasis on those in Hungary. Furthermore, it iden-tifies different models and clusters to identify possible joint services that can make electric mobility more attractive for business development. ABSTRACT Successful implementation of climate resilient pathways for sustainable development requires an understanding of energy, linkages with greenhouse gas (GHG) mitigation and adaptation considerations, technical innovations and be-havioral change. This article provides a knowledge exchange about the energy and GHG spectrums of the built environment from academic, scientific and practitioner perspectives. The goal of this article is to present useful solutions concerning green engineering design policies to reverse increasing fossil fuel energy use and GHG emissions in the built environment. The article also discusses practical tips and limitations of certain renewable energy technologies. It provides capacity-building tools for policy makers, communities, individuals, practitioners, architects and designers concerning the development of sustainable and climate resilient cities. ABSTRACT An investigation was conducted on the qualities of select wind-related variables to consider utilizing energy from wind to generate electrical power. The purpose of our study was to use predictive models to forecast wind speeds at specific locations in Kuwait. A four variable dataset was analyzed using variables gathered from three locations in Kuwait, namely Abdaly, Kuwait International Airport (KIA) and Al-Wafar. Before calculating the anticipated likelihood for the production of electricity in the subsequent phase, the available data’s dynamics were analyzed. Averaged over one year, wind speeds for these areas ranged between 3 m/s to 6 m/s. The Weibull distribution was used to obtain the power density of wind at a 70 m height above ground level (AGL) which varied from 70 W/m 2 to 179 W/m 2 . For the wind data at heights of 2 m to 70 m, the power law pertaining to extraction at standard height was used. An observation was made that at a 70 m height AGL, the power density of the winds ranged from 161 W/m 2 to 294 W/m 2 with a mean of 81% the peak power density. It was also observed that the wind strength together with electricity demand were highest throughout the sunny season. Wind power density for a prior month was developed using an artificial neural network plus a hybrid forecast design on a genetic algorithm. Reasonably high prediction accuracy was demonstrated by the prediction model’s results. scholarly atomization and sprays, rheology, slow-release coatings, nanotechnology, plasma discharges, fluidized beds, erosion-corrosion of flow-lines and electromagnetics. silvers and one and engineering the year best paper research productivity ABSTRACT The increasing levels of environmental pollution from vehicles that consume fossil fuels have shifted the focus of the transportation sector to electric vehicles. Zero emission claims by many electric vehicle manufacturers have increased the popularity of electric vehicles (EVs) among industrial and academic researchers. Those claims of reduced emissions by EV manufacturers are not necessarily true in countries that rely primarily on fossil fuel-fired power plants to generate electricity. The use of EVs in countries that depend on fossil fuels to generate electricity shifts emissions from the operation stage to energy generation stage. In this article, a comparative study has been conducted on the energy mix of one developing country (India), which relies on fossil fuels for energy generation and a developed country (France), which relies mostly on renewable energy (RE) sources. Equivalent carbon dioxide (CO 2 ) emissions from EVs for both cases have been calculated and are compared with emissions from vehicles that use fossil fuels. The results of our study show that the introduction of EVs in present energy mix scenario in India actually increases total CO 2 emissions. The energy mix requirements needed prior to introducing EVs are proposed to ensure a 50% reduction of overall emissions. The estimates were developed by conducting reverse calculations ABSTRACT In this study, the causal effects of natural gas consumption and total trade on gross domestic product (GDP) are explored for the case of Canada, cover-ing the period from 1965 to 2017. Our research objective was to test whether or not natural gas (NG) consumption predicts total trade and economic growth in Canada by examining the causal relationships among NG consumption, total trade and economic growth. The causality tests reveal that there is evidence of a causality running from NG consumption and total trade to GDP, implying that changes in Canada’s NG consumption and total trade lead to significant changes in GDP. It is important to mention that both time and frequency domain causality tests provide consistent outcomes at different levels of significance and frequency. Additionally, to capture the cointegration equation among the time series variables, the Hatemi-J cointegration test is employed. The cointegration technique allows two possible endogenous regime shifts in the cointegration relationship, revealing that cointegration exists among the time series variables with endogenous structural breaks. Our results indicate the existence of an equilibrium relationship, implying that both natural gas consumption and total trade are key drivers of economic output in the Canadian economy. We conclude that energy and environmental policies that are aimed at encouraging the use of both renewable and nonrenewable energy sources should be pursued in Canada and elsewhere.