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通过能效措施进行需求侧管理,以实现巴基斯坦可持续能源的未来。

Demand side management through energy efficiency measures for the sustainable energy future of Pakistan.

作者信息

Chughtai Arshad, Uqaili Mohammad Aslam, Mirjat Nayyar Hussain, Sheikh Faheem Ullah, Gulzar Muhammad Majid, Habib Salman, AboRas Kareem M, Fendzi Mbasso Wulfran

机构信息

Department of Electrical Engineering, Mehran University of Engineering and Technology, Jamshoro, Pakistan.

Department of Control & Instrumentation Engineering, King Fahd University of Petroleum & Minerals, Dhahran, 31261, Saudi Arabia.

出版信息

Heliyon. 2024 Jul 21;10(15):e34798. doi: 10.1016/j.heliyon.2024.e34798. eCollection 2024 Aug 15.

DOI:10.1016/j.heliyon.2024.e34798
PMID:39145030
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11320203/
Abstract

Pakistan is facing energy crises due to localized shortages, market manipulation, infrastructure disruption, rising demand, governance issues, climate and geopolitical events. In this situation Demand Side Management (DSM) is a promising solution to overcome the problem of energy crises. DSM strategy helps to manage consumer demand through energy conservation rather than to addition of new power capacity. In this study, Low Emissions Analysis Platform (LEAP) develops an energy model for Pakistan for the period 2022-2050. Three scenarios has been to constructed namely Baseline (BAS), Green Energy Policy (GEP), and Energy Efficiency (ENE) to predict the future energy demand, production, carbon emissions and the investment cost which covers capital, operational and maintenance costs. The model results suggest that DSM targets should be achieved through the implementation of ENE scenario. Predicted energy production and consumption under the ENE scenario are substantially less than those under the BAS scenario. The country can meet its 635.83,000 GWh energy demand with its 747.15,000 GWh energy production. Non-renewable sources produce 171.27,000 GWh, whilst renewable sources produce 575.88,000 GWh. According to this scenario, by 2050, CO emissions will be produced around 93.16 million metric tons, requiring an investment cost of $46.80 billion for building new power capacity. The study provides a roadmap with a suggestive optimal balance between energy saving with DSM approach and utilizing renewable energy production to meet energy demand for different sectors of the economy.

摘要

由于局部短缺、市场操纵、基础设施中断、需求上升、治理问题、气候和地缘政治事件,巴基斯坦正面临能源危机。在这种情况下,需求侧管理(DSM)是克服能源危机问题的一个有前景的解决方案。DSM战略有助于通过节能来管理消费者需求,而不是增加新的发电能力。在本研究中,低排放分析平台(LEAP)为巴基斯坦开发了一个2022年至2050年期间的能源模型。构建了三种情景,即基准情景(BAS)、绿色能源政策情景(GEP)和能源效率情景(ENE),以预测未来的能源需求、生产、碳排放和投资成本,其中投资成本涵盖资本、运营和维护成本。模型结果表明,应通过实施ENE情景来实现DSM目标。ENE情景下预测的能源生产和消费大幅低于BAS情景下的预测值。该国可以用其74715000吉瓦时的能源生产满足其63583000吉瓦时的能源需求。不可再生能源生产17127000吉瓦时,而可再生能源生产57588000吉瓦时。根据该情景,到2050年,将产生约9316万吨的二氧化碳排放,建设新的发电能力需要468亿美元的投资成本。该研究提供了一个路线图,表明在采用DSM方法节能与利用可再生能源生产来满足经济不同部门的能源需求之间实现了最佳平衡。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe46/11320203/25f9c8168eea/gr14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe46/11320203/3da7d4782621/gr1.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe46/11320203/5cc8fbd1980f/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe46/11320203/c164c60515f9/gr12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe46/11320203/ce1a6f1a2a6e/gr13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe46/11320203/25f9c8168eea/gr14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe46/11320203/3da7d4782621/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe46/11320203/2a8dd4686391/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe46/11320203/7f1224633698/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe46/11320203/6b4aa124e11c/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe46/11320203/5942ec4ffe03/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe46/11320203/db40443fd5e6/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe46/11320203/e571f5416533/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe46/11320203/2bce98245dee/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe46/11320203/a6b3f1eb6540/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe46/11320203/fea36154d1aa/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe46/11320203/5cc8fbd1980f/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe46/11320203/c164c60515f9/gr12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe46/11320203/ce1a6f1a2a6e/gr13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe46/11320203/25f9c8168eea/gr14.jpg

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