考虑到国家一级燃料消耗预测模型对温室气体排放的限制

O. Maliarenko, N. Ivanenko
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摘要

几十年来,乌克兰国家科学院综合能源研究所一直在开发能源需求预测模型。目前已知的有一种改进的规范方法,该方法考虑到了节能的技术和结构潜力;一种新的复杂的能源资源需求预测方法,该方法由 Kulyk M.M.开发,并通过考虑转换燃料进行了改进;生命周期模型,该模型在过去十年中在研究所的各个领域(核能、煤炭工业、石油和天然气工业)得到了广泛的改进;为煤炭需求预测开发的平衡方法。在能源研究所的参与下,这些模型被用于制定乌克兰能源战略。实际问题是在这些模型中考虑到环境限制,乌克兰是《巴黎协定》的签署国。为履行环保承诺,乌克兰更新了 2021 年对《巴黎协定》的国家确定贡献(NDC2),将 2030 年的温室气体预测排放量限制为 1990 年温室气体排放量的 35%。假设同样的限制也适用于燃料消耗。文章的目的是在考虑到 2030 年温室气体排放限制的情况下,建立一个预测燃料需求的数学模型,从而根据燃料消费的温室气体排放预测总量,选择符合公认限制的燃料需求预测方案。本文讨论煤炭和石油产品的消费。文章计算了在结构和/或技术发生变化的情况下煤炭和石油产品的预计消耗量。文章还对乌克兰各经济部门减少温室气体排放的技术措施进行了评估。关键词:燃料、预测、国内生产总值、温室气体、排放限制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Taking into account limitations on greenhouse gas emissions in the fuel consumption forecasting model at the national level
Energy demand forecasting models have been developed at the General Energy Institute of National Academy of Sciences of Ukraine for decades. An improved normative method is known, which takes into account, the technological and structural potential of energy saving; a new complex method of forecasting the demand for energy resources, which was developed by Kulyk M.M. and improved by taking into account the fuel for conversion; life cycle models that have been extensively improved at the Institute over the past decade for various areas (nuclear energy, coal industry, oil and gas industry); the balance method developed for coal demand forecasting. These models were used in the development of Energy Strategies in Ukraine with the participation of the General Energy Institute. The actual problem is taking into account environmental restrictions in these models, which Ukraine undertook as a signatory of the Paris Agreement. Ukraine`s updated 2021 National Determined Contribution to the Paris Agreement of (NDC2), which was developed to implement environmental commitments, limits the forecast levels of greenhouse gas emissions in 2030 up to 35 % of greenhouse gas emissions in 1990. It is assumed that the same limitation can be applied to fuel consumption. The purpose of the article is to develop a mathematical model for forecasting fuel demand by taking into account the limit of greenhouse gas emissions in 2030, which allows to choose such forecast scenarios of fuel demand that, according to the total forecast volumes of greenhouse gas emissions from its consumption, meet the accepted restrictions. The article discusses the consumption of coal and oil products. Estimated volumes of coal and petroleum products consumption in case of structural and/or technological changes are calculated. An assessment of technological measures to reduce greenhouse gas emissions in various sectors of the Ukrainian economy is presented. Keywords: fuel, forecast, GDP, greenhouse gases, emissions limitation.
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