
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
Long‐term optimal power generation pathways for Pakistan
AbstractPakistan has faced an electricity shortfall for over two decades despite various efforts taken at different levels. Though electricity supply in recent times has crossed the demand, the supply‐side stresses and deciding optimal power generation pathways have always been a challenge for policymakers and researchers. In this study using a LEAP energy model, following the sectoral electricity demand forecast, four supply‐side scenarios have been developed and analyzed for the study period 2017‐2055. In each scenario, referred to as Business as Usual (BAU), Renewable Energy Technologies (RET), Coal Power Penetration (CPP), and High‐Efficiency Low‐Emission (HELE) scenario, electricity generation, installed generation capacity, cost of production, and GHG emissions are estimated and compared for seeking long‐term optimal energy pathways for Pakistan. The study results reveal that for the end year (2055), RET is an environmentally sustainable scenario with an estimated electricity generation of 2421 TWh, which is enough to meet the electricity demand of 2374TWh. The GHG emissions under the RET scenario are estimated to be 857 million metric Tons, which are around 50% less than CPP and 40% less than the BAU scenario. However, the cost of generation is higher than BAU and CPP scenarios. The CPP scenario emerges to be cost‐competitive, however with the highest GHG emissions. This study thus suggests that convergence of RET with the CPP scenario could be an appealing option for Pakistan to meet increasing demand with energy security and environmental sustainability.
- University of Engineering and Technology Lahore Pakistan
- Mehran University of Engineering and Technology Pakistan
- Mehran University of Engineering and Technology Pakistan
- British University in Dubai United Arab Emirates
- University of Engineering and Technology Lahore Pakistan
Technology, Renewable energy, LEAP, Environmental economics, Economics, Science, Greenhouse gas, Quantum mechanics, Environmental science, Engineering, Electricity, Natural resource economics, electricity supply projections, FOS: Electrical engineering, electronic engineering, information engineering, Indoor Air Pollution in Developing Countries, Pakistan, Global Energy Demand, Electrical and Electronic Engineering, Rebound Effect on Energy Efficiency and Consumption, Biology, Electricity generation, Mains electricity, Energy, Energy Modeling, Integration of Renewable Energy Systems in Power Grids, Ecology, Renewable Energy, Sustainability and the Environment, T, Physics, Q, Voltage, electricity demand forecast, Power (physics), Pollution, GHG emissions, Sustainability, FOS: Biological sciences, Electrical engineering, Physical Sciences, Environmental Science
Technology, Renewable energy, LEAP, Environmental economics, Economics, Science, Greenhouse gas, Quantum mechanics, Environmental science, Engineering, Electricity, Natural resource economics, electricity supply projections, FOS: Electrical engineering, electronic engineering, information engineering, Indoor Air Pollution in Developing Countries, Pakistan, Global Energy Demand, Electrical and Electronic Engineering, Rebound Effect on Energy Efficiency and Consumption, Biology, Electricity generation, Mains electricity, Energy, Energy Modeling, Integration of Renewable Energy Systems in Power Grids, Ecology, Renewable Energy, Sustainability and the Environment, T, Physics, Q, Voltage, electricity demand forecast, Power (physics), Pollution, GHG emissions, Sustainability, FOS: Biological sciences, Electrical engineering, Physical Sciences, Environmental Science
