Energy demand modeling for low carbon cities in Thailand: A case study of Nakhon Ratchasima province

IF 2.4 Q3 ENERGY & FUELS
A. Tippichai, Kattreeya Teungchai, A. Fukuda
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引用次数: 1

Abstract

Nakhon Ratchasima is one of the northeastern cities which has been promoted as one of the low-carbon cities in Thailand. The study aims to evaluate policies and measures on greenhouse gas (GHG) emissions mitigation to meet the target at the provincial level. The Low Emissions Analysis Platform (LEAP) is used as a modeling tool to simulate energy demand for each economic sector. The 2019 data is set as a base year, using top-down and bottom-up approaches depending on the availability of data for the analysis. The model consists of two scenarios: (1) Business-as-usual (BAU) scenario and Low carbon scenario (LCS). Transport and industry sectors are the most energy-consuming and CO2-emitting sectors in Nakhon Ratchasima Province. In the LCS case, the final energy demand and CO2 emissions in 2050 will be reduced by about 40% compared to the BAU case. In addition, CO2 emissions in Nakhon Ratchasima Province will peak around 2038, this is not the case with BAU. The study could predict future energy demand and propose a way forward to reducing GHG emissions at the provincial level.
泰国低碳城市的能源需求模型:以呵叻府为例
呵叻府是东北部城市之一,已被提升为泰国低碳城市之一。该研究旨在评估减少温室气体排放的政策和措施,以实现省级目标。低排放分析平台(LEAP)被用作模拟每个经济部门能源需求的建模工具。2019年的数据被设定为基准年,根据分析数据的可用性,使用自上而下和自下而上的方法。该模型由两个场景组成:(1)照常营业(BAU)场景和低碳场景(LCS)。运输和工业部门是呵叻府能源消耗和二氧化碳排放最多的部门。在LCS的情况下,与BAU的情况相比,2050年的最终能源需求和二氧化碳排放量将减少约40%。此外,呵叻府的二氧化碳排放量将在2038年左右达到峰值,BAU的情况并非如此。这项研究可以预测未来的能源需求,并为减少省级温室气体排放提出一条前进的道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.50
自引率
16.00%
发文量
83
审稿时长
8 weeks
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