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The energy demand in Pakistan is escalating owing to the growing population, rapid urbanization, and industrial growth. Therefore, the development and execution of Energy Efficiency and Conservation (EE&C) policies and initiatives are critical for the Government in order to enhance energy efficiency and to address the country's increasing energy demand. In this study, the Low Emission Analysis Platform (LEAP) tool is used to develop and analyze the effects of load control, energy efficiency, and conservation-based measures. Based on the policy analysis and energy consumption patterns, macro-economic modeling has been undertaken using LEAP for the study period 2020-2050. The two scenarios developed are Business-As-Usual (BAU) and Demand-Side-Management (DSM). The model results forecast 1910.2 TWh electricity demand by 2050 under the BAU scenario, with an average annual growth rate of 5.5%, which is eighteen times greater than energy demand in the base year. The sustainable electricity generation path followed under the DSM scenario ensures a lower demand of 1597.5 TWh and an average annual growth rate of 4.5%. This scenario will reduce energy use by 16% compared to the BAU scenario. Therefore, it is proposed that policy may be envisaged using infrastructural and consumer engagement approaches to encourage DSM development in Pakistan. The proposed LEAP model can be used to undertake the supply policy selection and demand assumption for future power production in Pakistan. [ABSTRACT FROM AUTHOR]

Fossil fuel-based energy systems are mostly used for supplying energy that creates negative impacts on the environment, so in this study, the development of a 100% renewable energy system is evaluated for Pakistan for sustainable climate change. This study modeled three scenarios, namely, ongoing (ONG), energy saving policy (ESP), and green energy policy (GEP) scenarios using low emission analysis platform (LEAP) software for the study period 2022 to 2050 for Pakistan. The results revealed that a 100% renewable energy supply could be achieved through the GEP scenario. Model results show that the share of renewable sources in the total energy mix is 1117.08 TWh and non-renewable sources contribute only 18.12 TWh to meet the energy demand of 966.05 TWh until 2050. Non-renewable production leads to the generation of 8.85 million metric tons of carbon emissions, which is too low compared with the 135.47 million metric tons under the ONG scenario. The USD 1482.46 billion investment cost required for adding renewable energy capacity until 2050 is too high as compared with the USD 46.80 billion under the ONG scenario. Energy demand and production requirements are reduced by 34.18% under the ESP scenario until 2050. This approach can also be applicable to the majority of nations worldwide. [ABSTRACT FROM AUTHOR]