Demand Side Management for the Energy-Efficient Future of Pakistan Using a Low Emission Analysis Platform
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 effici...
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MDPI AG
2023-09-01
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author | Mazhar Ali Bhaagat Nayyar Hussain Mirjat Shoaib Ahmed Khatri Asadullah Mahar Muhammad Amir Raza |
author_facet | Mazhar Ali Bhaagat Nayyar Hussain Mirjat Shoaib Ahmed Khatri Asadullah Mahar Muhammad Amir Raza |
author_sort | Mazhar Ali Bhaagat |
collection | DOAJ |
description | 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. |
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format | Article |
id | doaj.art-2d157fc4cc3f44048dc94ce88416ffbd |
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issn | 2673-4591 |
language | English |
last_indexed | 2024-03-08T20:47:33Z |
publishDate | 2023-09-01 |
publisher | MDPI AG |
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series | Engineering Proceedings |
spelling | doaj.art-2d157fc4cc3f44048dc94ce88416ffbd2023-12-22T14:07:07ZengMDPI AGEngineering Proceedings2673-45912023-09-014612810.3390/engproc2023046028Demand Side Management for the Energy-Efficient Future of Pakistan Using a Low Emission Analysis PlatformMazhar Ali Bhaagat0Nayyar Hussain Mirjat1Shoaib Ahmed Khatri2Asadullah Mahar3Muhammad Amir Raza4Department of Electrical Engineering, Mehran University of Engineering & Technology, Jamshoro 76062, PakistanDepartment of Electrical Engineering, Mehran University of Engineering & Technology, Jamshoro 76062, PakistanDepartment of Electrical Engineering, Mehran University of Engineering & Technology, Jamshoro 76062, PakistanDepartment of Electrical Engineering, Mehran University of Engineering & Technology, Jamshoro 76062, PakistanDepartment of Electrical Engineering, NED University of Engineering & Technology Karachi, Karachi 75220, PakistanThe 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.https://www.mdpi.com/2673-4591/46/1/28sustainable energy developmentdemand-side managementforecastingenergy planning & policy recommendationLEAP |
spellingShingle | Mazhar Ali Bhaagat Nayyar Hussain Mirjat Shoaib Ahmed Khatri Asadullah Mahar Muhammad Amir Raza Demand Side Management for the Energy-Efficient Future of Pakistan Using a Low Emission Analysis Platform Engineering Proceedings sustainable energy development demand-side management forecasting energy planning & policy recommendation LEAP |
title | Demand Side Management for the Energy-Efficient Future of Pakistan Using a Low Emission Analysis Platform |
title_full | Demand Side Management for the Energy-Efficient Future of Pakistan Using a Low Emission Analysis Platform |
title_fullStr | Demand Side Management for the Energy-Efficient Future of Pakistan Using a Low Emission Analysis Platform |
title_full_unstemmed | Demand Side Management for the Energy-Efficient Future of Pakistan Using a Low Emission Analysis Platform |
title_short | Demand Side Management for the Energy-Efficient Future of Pakistan Using a Low Emission Analysis Platform |
title_sort | demand side management for the energy efficient future of pakistan using a low emission analysis platform |
topic | sustainable energy development demand-side management forecasting energy planning & policy recommendation LEAP |
url | https://www.mdpi.com/2673-4591/46/1/28 |
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