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A substantial level of significance has been placed on renewable energy systems, especially photovoltaic (PV) systems, given the urgent global apprehensions regarding climate change and the need to cut carbon emissions. One of the main concerns in the field of PV is the ability to track power effectively over a range of factors. In the context of solar power extraction, this research paper performs a thorough comparative examination of ten controllers, including both conventional maximum power point tracking (MPPT) controllers and artificial intelligence (AI) controllers. Various factors, such as voltage, current, power, weather dependence, cost, complexity, response time, periodic tuning, stability, partial shading, and accuracy, are all intended to be evaluated by the study. It is aimed to provide insight into how well each controller performs in various circumstances by carefully examining these broad parameters. The main goal is to identify and recommend the best controller based on their performance. It is notified that, conventional techniques like INC, P&O, INC-PSO, P&O-PSO, achieved accuracies of 94.3, 97.6, 98.4, 99.6 respectively while AI based techniques Fuzzy-PSO, ANN, ANFIS, ANN-PSO, PSO, and FLC achieved accuracies of 98.6, 98, 98.6, 98.8, 98.2, 98 respectively. The results of this study add significantly to our knowledge of the applicability and effectiveness of both AI and traditional MPPT controllers, which will help the solar industry make well-informed choices when implementing solar energy systems. [ABSTRACT FROM AUTHOR]

The potential of solid waste as an energy source is clear, owing to its wide availability and renewable properties, which provide a critical answer for energy security. This can be especially effective in reducing the environmental impact of fossil fuels. Countries that rely heavily on coal should examine alternatives such as electricity from solid waste to provide a constant energy supply while also contributing to atmospheric restoration. In this regards, Low Emissions Analysis Platform (LEAP) is used for simulation the entire energy system in Pakistan and forecasted its capital cost and future CO2 emissions in relation to the use of renewable and fossil fuel resources under the different growth rates of solid waste projects like 20%, 30% and 40% for the study period 2023–2053. The results revealed that, 1402.97 TWh units of energy are generated to meet the total energy demand of 1193.93 TWh until 2053. The share of solid waste based electricity in total energy mix is increasing from a mere 0.81% in 2023 to around 9.44% by 2053 under the 20% growth rate, which then increase to 39.67% by 2053 under the 30% growth rate and further increases to 78.33% by 2053 under the 40% growth rate. It is suggested that 40% growth rate for solid waste based electricity projects is suitable for Pakistan until 2053 because under this condition, renewable sources contributes 95.2% and fossil fuels contributed 4.47% in the total energy mix of Pakistan. Hence, CO2 emissions are reduced from 148.26 million metric tons to 35.46 million metric tons until 2053 but capital cost is increased from 13.23 b$ in 2023 to 363.11 b$ by 2053. [ABSTRACT FROM AUTHOR]

Due to the recent climate change, organizations all over the globe are developing plans for reducing carbon emissions by developing clean energy technologies and energy efficient devices. However, the path for transition to green energy system is still unclear and in general, the representation of green energy supply for transition pathways is limited. Therefore, this study outlines a plan for getting Swedish energy sector completely carbon neutral by 2050. The approach can also be applicable to the majority of nations worldwide. Computer based simulations are performed on Energy PLAN software for making clean, green and sustainable energy system that can balance every component of entire energy system during the study period 2022 to 2050. This study takes into account the sustainable use of renewable sources for all economic sectors as well as the interchange of energy with nearby nations under the two scenarios. Additionally, the energy system works in tandem with other industries to create a fully carbon-free environment. The results revealed that, 50% de-carbonization is possible till 2035 and 100% de-carbonization is possible till 2050. This enables a discussion of how ambitious 10-year goals might serve as a first step toward the mid-century elimination of fossil fuels from the energy sector. [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]

Authors used Long-range Energy Alternatives Planning (LEAP) model in this paper to develop and analyze future energy demand, production and CO2 emissions in Pakistan from 2020 to 2040. The model is developed based on Governmental Progressive Scenario (GPS), which forecasts sector wise (agriculture, commercial, domestic, industrial and others) energy demand of the country, and analyzes future energy supply pattern based on the domestic energy sources like RLNG, hydro, coal, natural gas, nuclear, furnace oil and renewable (wind, solar, biomass). The results of this study show that the growth rates of future energy supply and demand are 18% and 11% respectively. CO2 emissions based on future energy production are also forecasted from 2020 to 2040 which is showing declining trend due to the use of cleaner technologies in the future. The total cost of energy projects is also forecasted based on net present value at a discount rate of 4%, 8% and 12%. It is found that energy projects cost will be 50% less at discount rate of 8%. The results of this study are useful in making long term energy and environmental planning and policy formulation in Pakistan. [ABSTRACT FROM AUTHOR]

Pakistan's energy sector has been in crises since 2005. Major reasons behind crises include huge dependence on imported fossil assets and lack of integrated energy planning. These crises have challenged energy sector and require special attention to solve them through proper planning using energy modeling tools. In this research, Long-range Energy Alternatives Planning System (LEAP) is used for modeling Pakistan's energy sector for period 2020 to 2070. Energy demand, production and CO 2 emissions are forecasted under the Progressive (PROG) and Renewable Energy Sources, Technologies and Efficiency Measures (RESTEM) scenarios by considering techno-economic parameters. Results of this study suggest that transition towards defossilized energy system is possible through RESTEM scenario. Model results shows that energy demand for 2020 is 112 TWh and for 2070 is 2684 TWh. On supply side, energy production for 2020 is 114 TWh and for 2070 it is 2696 TWh. Share of renewable sources in total energy mix is increased from 38.5% in 2021 to 59.1% in 2070 and share of non-renewable sources is reduced from 53.1% in 2021 to 40.9% in 2070. CO 2 emissions are also reduced from 153,083.7 million tons to 56,152 million tons under RESTEM scenario. [ABSTRACT FROM AUTHOR]

Due to the recent climate change, organizations all over the globe are developing plans for reducing carbon emissions by developing clean energy technologies and energy efficient devices. In this regard, the developments have not been done over the past two decades on green energy in Pakistan and in general, the representation of renewable sources especially biomass feedstock supply such as agriculture residue, forest residue, municipal waste and animal waste for green energy transition pathways is limited. Using the Low Emissions Analysis Platform (LEAP®) software, path for green energy transition is analyzed in Pakistan by incorporating the biomass feedstock under the ongoing and sustainable energy scenarios from 2022 to 2050. Results showed that the bioelectricity production will increase from 18.73 TWh (in the ongoing scenario) to the 265.20 TWh (in the biomass based sustainable energy scenario) till 2050. Furthermore, the development of biomass plants would help in reducing the CO 2 emissions from 138.47 million metric tonnes in the current scenario to 8.71 million metric tonnes in the sustainable energy scenario by 2050. This study will provide the fundamental data and aid the policy makers and other stakeholders to shift toward developing renewable and sustainable energy systems in Pakistan. • Role of biomass in energy mix is significant for Pakistan. • Pakistan is producing 560.19 million tons of biomass resource annually. • Bioelectricity production will increase from 18.73 to 265.20 TWh using biomass till 2050. • LEAP® model is developed for sustainable climate change. • Bioelectricity will reduce CO 2 emissions from 138.47 to 8.71 million metric tonnes. [ABSTRACT FROM AUTHOR]