A Logistic Modelling Analysis for Wind Energy Potential Assessment and Forecasting its Diffusion in Pakistan
Copyright policy )A Logistic Modelling Analysis for Wind Energy Potential Assessment and Forecasting its Diffusion in Pakistan
There is increased focus to harness renewable energy resources in the 21st century to contain climate change and attain energy security. In this context, wind energy is attaining a significant marketplace to meet the ever-increasing electricity demand. This study, as such, undertakes wind energy assessment and forecasts wind power market penetration in Pakistan considering three different scenarios for the period 2020–2050. The modeling approach of this study is based on the Levenberg–Marquardt algorithm (LMA) optimization method, which is used to estimate the parameters of the logistic model to improve forecasting precision. It is revealed that around 55, 64, and 73% of wind potential could be technically exploited under each of the three scenarios, respectively. The Certified Emission Reductions (CERs) for each scenario are also estimated. The anticipated annual abatement of GHG emissions and CERs earnings at 30% capacity utilization factor is found to be 158 million CERs by the year 2050. These results suggest that wind energy offers great potential to attain energy security, environmental stability, and sustainable development in Pakistan. This study would assist energy professionals, government, and stakeholders to undertake wind energy market assessment and devise appropriate energy management plans.
- Mehran University of Engineering and Technology Pakistan
- Mehran University of Engineering and Technology Pakistan
- Kuwait University Kuwait
- Kuwait University Kuwait
Renewable energy, Electricity Price and Load Forecasting Methods, Environmental economics, Economics, wind energy penetration, Energy security, General Works, Environmental science, technical potential, Engineering, Context (archaeology), A, FOS: Electrical engineering, electronic engineering, information engineering, Pakistan, Business, Wind Power Integration, Electrical and Electronic Engineering, Environmental resource management, Energy Modeling, Integration of Renewable Energy Systems in Power Grids, Electricity Price Forecasting, Geography, Load Forecasting, Levenberg–Marquardt algorithm, Electricity Market Operation and Optimization, Archaeology, Electrical engineering, Physical Sciences, Wind Power Forecasting, Wind power, certified emission reductions
Renewable energy, Electricity Price and Load Forecasting Methods, Environmental economics, Economics, wind energy penetration, Energy security, General Works, Environmental science, technical potential, Engineering, Context (archaeology), A, FOS: Electrical engineering, electronic engineering, information engineering, Pakistan, Business, Wind Power Integration, Electrical and Electronic Engineering, Environmental resource management, Energy Modeling, Integration of Renewable Energy Systems in Power Grids, Electricity Price Forecasting, Geography, Load Forecasting, Levenberg–Marquardt algorithm, Electricity Market Operation and Optimization, Archaeology, Electrical engineering, Physical Sciences, Wind Power Forecasting, Wind power, certified emission reductions
