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首页> 外文期刊>Journal of Cleaner Production >Forecasting of Turkey's greenhouse gas emissions using linear and nonlinear rolling metabolic grey model based on optimization
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Forecasting of Turkey's greenhouse gas emissions using linear and nonlinear rolling metabolic grey model based on optimization

机译:基于优化的线性和非线性滚动代谢灰色模型预测土耳其的温室气体排放

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摘要

This study aims to contribute to the development of energy policies for Turkey's greenhouse gas (GHG) emissions in the future. For this purpose, linear and nonlinear metabolic grey models are combined with the optimization technique to obtain more accurate forecasting results. Optimization technique provides estimation of the parameters in metabolic grey model (MGM(1,1)) and nonlinear metabolic grey model (NMGM(1,1)). In this study, MGM(1,1), NMGM(1,1), optimized metabolic grey model OMGM(1,1), and optimized nonlinear metabolic grey model (ONMGM(1,1)) are applied for prediction of Turkey's GHG emissions including the Land Use, Land Use Change and Forestry (LULUCF), excluding LULUCF and from the energy sector. The ONMGM(1,1) gives more accurate results than the others from 1995 to 2016. The MAPE values of the ONMGM(1,1) are 4.80%, 4.14% and 5.19% for Turkey's GHG emissions with LULUCF, without LULUCF and from the energy sector, respectively. On the other hand, results of the ONMGM(1,1) show that the annual growth rates are forecasted as 0.56%, 0.66% and 0.49% for Turkey's GHG emissions with LULUCF, without LULUCF and from the energy sector, respectively, from 2017 to 2025. Furthermore, Turkey's highest GHG emissions with LULUCF, without LULUCF and from the energy sector are estimated by MGM(1,1) as 606.9 Mt of CO2 equivalent, 726.4 Mt of CO2 equivalent and 585.2 Mt of CO2 equivalent in 2025, respectively. According to Turkey's Intended Nationally Determined Contribution (INDC), target of its GHG emissions including LULUCF is estimated as 934 Mt of CO2 equivalent in a Business-As-Usual scenario and 790 Mt of CO2 equivalent in a Mitigation scenario for the year 2025. Therefore, this study presents lower values of Turkey's GHG emissions with LULUCF than the values of Turkey's INDC for the year 2025. Additionally, results of this study present that energy sector has the largest share of Turkey's GHG emissions from 2017 to 2025. Therefore, Turkish Government should develop policies to use energy more efficiently and to increase the capacity of renewable energy sources in electricity generation. Especially, Turkey's ambition to increase the share of renewable energy in total is very assertive. This can be seen from the Turkey's 11th Development Plan. According to the Plan, the share of total renewable energy and natural gas in total electricity generation is going to be increased from 32.5% in 2018 to 38.8% in 2023 and to be decreased from 29.85% in 2018 to 20.7% in 2023, respectively. (C) 2019 Elsevier Ltd. All rights reserved.
机译:这项研究旨在为将来制定土耳其温室气体(GHG)排放的能源政策做出贡献。为此,将线性和非线性代谢灰色模型与优化技术结合起来,以获得更准确的预测结果。优化技术提供了对代谢灰度模型(MGM(1,1))和非线性代谢灰度模型(NMGM(1,1))中参数的估计。在这项研究中,将MGM(1,1),NMGM(1,1),优化的代谢灰色模型OMGM(1,1)和优化的非线性代谢灰色模型(ONMGM(1,1))用于预测土耳其的温室气体包括土地利用,土地利用变化和林业(LULUCF)在内的排放,不包括LULUCF和能源部门。从1995年到2016年,ONMGM(1,1)的结果比其他方法更准确。使用LULUCF,不使用LULUCF的土耳其的温室气体排放量,ONMGM(1,1)的MAPE值分别为4.80%,4.14%和5.19%。能源部门。另一方面,ONMGM(1,1)的结果表明,从2017年开始,不包括LULUCF和来自能源部门的土耳其的LULUCF的年增长率预计分别为0.56%,0.66%和0.49%到2025年。此外,米高梅(1,1)估计,到2025年,土耳其在没有LULUCF的情况下和在能源部门的最高温室气体排放量分别为606.9 Mt CO2当量,726.4 Mt CO2当量和585.2 Mt CO2当量。 。根据土耳其的国家自主贡献计划(INDC),在2025年的常规情景下,包括LULUCF在内的其温室气体排放目标估计为934 Mt CO2当量,在缓解情景下,其目标为790 Mt CO2当量。因此,该研究显示,LULUCF的土耳其温室气体排放值低于2025年土耳其的INDC值。此外,这项研究的结果表明,从2017年到2025年,能源部门在土耳其的温室气体排放中所占份额最大。因此,土耳其政府应制定政策,以更有效地利用能源并提高可再生能源在发电中的能力。特别是,土耳其雄心勃勃地提高了可再生能源在全部能源中的比重。这可以从土耳其的第十一个发展计划中看出。根据该计划,可再生能源和天然气在总发电量中的份额将从2018年的32.5%增加到2023年的38.8%,并将从2018年的29.85%减少到2023年的20.7%。 (C)2019 Elsevier Ltd.保留所有权利。

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