abstract in this study, we applied recently developed panel unit root and cointegration techniques to examine the long-run real income per capita and price elasticities for demand of electricity in selected middle east and north african (mena) countries using an annual data series from 1990 to 2011.our main finding from the panel analysis is that the demand for electricity is highly price elast...

This study presents a novel energy system modelling approach for the analysis and comparison of global transition pathways decarbonisation electricity sector. The results International Energy Agency (IEA), Teske/DLR scenarios are each reproduced. Additionally, five new trajectories, called LUT, presented. research examines feasibility scenario across nine major regions in 5-year intervals, from...

With the rapid depletion of fossil fuel reserves, it is feared that the world will soon run out of its energy resources. This is a matter of concern for developing countries whose economy heavily leans on its use of energy. Under the circumstances it is highly desirable that renewable energy resources should be utilized with maximum conversion efficiency to cope with the ever increasing energy ...

because of electricity subsidies, electricity price in iran is much lower than its real value, and the growth of electricity demand is much more than its rational rate, which in turn implies ever increasing investment in the electricity section by the government. therefore, the recent government policies are based on elimination of electricity subsidies, followed by commissioning complete elect...

In this paper, we explore how effectively renewable generation can be used to meet a country’s electricity demands. We consider range of different mixes and capacities, as well the use energy storage. First, introduce new open-source model that uses hourly wind speed solar irradiance data estimate output generator at specific location. Then, construct case study Great Britain (GB) system an exa...

This report proposed a genetic algorithm (GA) based stochastic optimization method for gridconnected residential renewable energy (solar/wind) system layout design and module selection. With the customer input of housing location, electricity demand, default system input of location-specified historical weather data, PV/inverter/turbine module database, forecast model for electricity retail/who...

Pakistan is an energy deficient country with depleting reserves and increasing demand. Due to excessive population growth, the domestic commercial sectors are experiencing rising To meet requisite demand, renewables favored rather than conventional counterparts. In this study, we model hybrid power systems using solar, wind biomass resources for electrifying remote areas. The four locations cho...

With the increasing application of distributed energy resources and information technologies in the electricity infrastructure, innovative possibilities for incorporating the demand side more actively in power system operation are enabled. At the residential level energy costs could be reduced with intelligent price-based control concepts (demand response). A promising, controllable, residentia...