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This study suggested a plan for making low carbon society (LCS) in Pakistan by 2050. Low Emissions Analysis Platform is used for simulation the entire energy system and forecasted the future CO2 emissions in relation to the use of renewable and fossil fuel resources under the two scenarios namely high carbon society (HCS) and LCS. Additionally, marginal abatement cost of future energy system is forecasted for the study period 2022–2050. The results revealed that, 100% de‐carbonization is possible under the LCS scenario. Further, this scenario suggested that 1123.15 TWh units of green energy are generated to meet the total energy demand of 966.05 TWh till 2050. Biomass has greater share of 380.16 TWh followed by wind 370.67 TWh, solar 358.74 TWh, and hydro 13.58 TWh respectively. CO2 emissions are reduced from 151.63 million metric tons in HCS scenario to 8.90 million metric tons in LCS scenario till 2050 but cost is increased from 46.36 billion US dollar in HCS scenario to 546.49 billion US dollar in LCS scenario for the year 2050. The technique can also be applicable to the developing, under‐developed and developed nations around the globe. [ABSTRACT FROM AUTHOR]

The Government of Pakistan has established clean energy transition goals in the national Alternative and Renewable Energy (ARE) Policy. The goal of this policy is to increase the 30% capacity of green energy in total energy mix by 2030. In this regard, the aim of this study is to develop a de-carbonization plan for achieving net zero emissions through the deployment of a green energy system for the period 2021 to 2040 by incorporating the ARE policy targets. The Low Emissions Analysis Platform (LEAP®) software is used for finding the unidirectional causality among gross domestic product, population within the country, energy demand, renewable energy production and CO2 emissions for Pakistan. The results revealed that energy production of 564.16 TWh is enough to meet the energy demand of 480.10 TWh with CO2 emissions of 22.19 million metric tons, having a population of 242.1 million people and GDP growth rate of 5.8%, in the year 2040 in Pakistan. The share of green energy production is 535.07 TWh, which can be utilized fully for meeting energy demand in the country, and almost zero emissions will produce till 2040. CO2 emissions produced by burning natural gas were 20.64 million metric tons in 2020, which then reduced to 3.25 million metric tons in 2040. CO2 emissions produced by burning furnace oil are also reduced from 4.19 million metric tons in 2020 to 2.06 million metric tons in 2040. CO2 emissions produced by burning coal were 24.85 million metric tons in 2020, which then reduced to 16.88 million metric tons in 2040. Energy demand is directly related to the population and GDP of the country, while renewable utilization is inversely proportional to carbon emissions. The declining trend of carbon emissions in Pakistan would help to achieve net zero emissions targets by mid-century. This technique would bring prosperity in the development of a clean, green and sustainable environment. [ABSTRACT FROM AUTHOR]

The power sector of Pakistan is facing many issues such as departmental mismanagement, huge dependence on imported fossil fuels, the greater cost of power generation, lower production of energy along with old monitoring and controlling mechanism equipped with outdated devices. These all issues are responsible for energy crises in the country for the last two decades. The motive of this paper is to implement a smart grid model as per National Institute of Standards and Technology (NIST) interoperability (protocols and standards, release 4.0) in Pakistan's electric network for the efficient management of an integrated energy system. In this regard, discusses the current condition of Pakistan's power sector for smart grid integration. Issues and challenges are presented for smart grid deployment with possible approaches to tackle these problems. Implement smart grid model and its synopsis with the help of available smart technologies and energy resources that are responsible to interconnect the power sector organizations and national power system. The implemented model and its synopsis are evaluated using SWOT (Strength, Weaknesses, Opportunities and Threads) and STEEPLE (Social, Technical, Environmental, Economic, Political, Legal, and Ethical) analysis. In this paper, the authors find the smart grid as the best option and shows that how smart grid technology can be implemented in Pakistan and how this technology can manage the integrated energy system efficiently. • Review on Pakistan's electric network for the deployment of smart grid. • Analysis on issues, challenges and potentials for smart grid deployment. • Assess smart technologies and energy sources for smart grid integration. • Develop smart grid model and its synopsis for integrated energy management system. • Propose an energy solution for Pakistan to achieve sustainable energy goals. [ABSTRACT FROM AUTHOR]

Pakistan has been in severe energy crises since the year 2004. Major reasons behind energy crises are lack of use of modeling tools in power planning and policy development, dependence on imported energy sources and poor governance. In this paper, electricity demand forecasting for Pakistan up to the year 2030 and a proposal for utilizing domestic energy resources, such as, coal, natural gas, and solar resources available in Baluchistan province of Pakistan for the electricity needs of the country are presented. Long-range Energy Alternative Planning (LEAP) software is used to develop energy demand model for Pakistan that forecasts energy demand under two scenarios, i.e., baseline scenario and energy conservation scenario for the period from 2018 to 2030. Electrical power generation capacity of coal, natural gas and solar resources is also calculated considering the capacity factor of each type of energy asset using MATLAB. This work suggests that Pakistan's energy demand forecast is 399 TWh under the baseline scenario and 312 TWh under the energy conservation scenario. The power generation potential of domestic energy assets available in Baluchistan is 500.041 TWh in total, which includes Natural Gas 392.768 TWh, Solar 84.935 TWh and Coal 22.338 TWh. This research would help relevant government departments in Pakistan for power capacity development as per the required energy demand and alleviate energy crises in Pakistan. • Create balance between power demand and supply for economic development. • Forecast energy demand of Pakistan through the application of LEAP software. • Forecast power generation capacity of domestic energy sources and propose integrated energy policy for Pakistan. • Provide sufficient power at competitive price and avoid capacity shortfall. [ABSTRACT FROM AUTHOR]