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ENABLING CHINA’S LOW-CARBON ENERGY TRANSFORMATION THROUGH EXPANDING ITS TRANSMISSION GRID

机译:通过扩大输电网络来实现中国的低碳能源转型

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OverviewWith a total population of 1.36 billion (World Bank 2017), China faces the dual challenge of fighting climatechange while maintaining its growing economy. Accounting for 29.5% of the world’s total CO_2 emissions(European Commission 2017), China’s energy roadmap will have a significant impact on the global low-carbonenergy transformation throughout the coming decades. In their submitted Intended Nationally DeterminedContribution (NDRC 2015), the country aims to achieve the peaking of CO_2 emissions around 2030 or earlier whileincreasing the total share of renewable energy fuels in primary energy consumption to 20%. Given its track recordof overachieving set climate goals (see NEA and NDRC 2016), this research’s model results confirm China’sabilitity to fulfill its ambitions towards a sustainable energy economy throughout 2050.MethodsWith the aim to project China’s energy system, the linear cost-optimizing model GENeSYS-MOD (Löffler et al.2017) is applied to power, heat, as well as transportation sectors. Being a sector-coupling model, a wholistic energypath based on regional (geographic, demographic, and economic) assumptions until 2050 is calculated at aresolution of five-year steps. For this purpose, technological parameters, such as operational lifetimes, timeslicesefficiency and availability factors are integrated. To allow a deeper understanding of regional disparities, primarilycaused by varying renewable fuel potentials, power and heat consumption, China is segmented into eight subregions.The 100% RES scenario of this research restricts the total CO_2 budget with the aim of an energy systempowered by solely renewable technologies. In comparison, the database for the Business As Usual (BAU) scenariois provided by the New Policies scenario of the IEA (2016) and lays out a more conservative path. Furthermore,GENeSYS-MOD has been expanded by endogenous grid simulation. In addition to model specific analyses, thisresearch provides a profound foundation on the political framework and existing policies by integrating informationfrom China’s 13th Five Year Plan (CCCP 2015; NEA and NDRC 2016).ResultsThroughout the nation’s energy transformation, solar power will dominate the energy mix with a share of 70% (seeFigure 1 and Table 1) by 2050, followed by wind generation (17%) and hydropower (12%). China’s current heavyreliance on fossil energy carriers in the process (high) heat sector, primarily based on coal and gas will slowly fadeout in favor of biomass (around 50%) and power to heat (around 40%). As for district (low) heat, mainly heatpumps and a 10% share of biomass are projected for 2050. Concerning the transportation sectors, both passengerand freight slowly shift towards renewable technologies, including hydrogen and electric-based means of transit.ConclusionsThe model results proof that a transition towards a low-carbon energy system in the power, heat, and transportationsector until 2050 is both technically feasible and economically archievable. Due to existing potentials and largescaleapplicability, solar power will establish as the key power technology by 2050. While the northwestern regionsare high in hydroelectric and solar power, the east coast is struggeling to supply the needs of the high populatedmegacities. Given the imbalance of high renewable potentials in the west and heavy energy demand in coastalregions in the east, the model confirms the necessity to expand China’s existing backbone grid from west to east. Byincreasing the capacity of the West-to-East transmission line, China can become independent of fossil fuels.
机译:概述 中国总人口13.6亿(世界银行,2017年),面临应对气候变化的双重挑战 在保持经济增长的同时进行变革。占世界CO_2总排放量的29.5% (European Commission 2017),中国的能源路线图将对全球低碳产生重大影响 未来数十年的能源转型。在他们提交的国家意图中 贡献(国家发改委,2015),该国的目标是在2030年左右或更早的时候实现CO_2排放峰值。 将可再生能源燃料在一次能源消耗中的总份额提高到20%。鉴于其往绩 超出设定的气候目标(请参阅NEA和NDRC 2016),该研究的模型结果证实了中国的 2050年实现可持续能源经济雄心的能力。 方法 为了规划中国的能源系统,采用了线性成本优化模型GENeSYS-MOD(Löffler等人, 2017)适用于电力,热力和运输领域。作为部门耦合模型,全面的能源 基于区域(地理,人口和经济)假设的路径,直至2050年均以 解决五年步骤。为此,需要使用技术参数,例如使用寿命,时间片 效率和可用性因素已集成。为了更深入地了解区域差异,主要是 由于可再生燃料潜力,电力和热量消耗的变化,中国被划分为八个子区域。 这项研究的100%RES方案限制了以能源系统为目标的总CO_2预算 完全由可再生技术提供动力。相比之下,照常营业(BAU)方案的数据库 由IEA(2016)的新政策情景提供,并提出了一条更为保守的道路。此外, GENeSYS-MOD已通过内生网格仿真进行了扩展。除了特定于模型的分析之外,这还可以 通过整合信息,研究为政治框架和现有政策提供了深刻的基础 摘自中国的“十三五”规划(CCCP 2015; NEA和NDRC 2016)。 结果 在整个国家的能源转型中,太阳能将以70%的份额主导能源结构(请参阅 图1和表1)到2050年,其次是风力发电(17%)和水力发电(12%)。中国目前的沉重 在过程中(主要是热能)对化石能源载体的依赖(主要基于煤炭和天然气)将逐渐消失 淘汰生物质(约占50%)和热能(约占40%)。至于地区(低热),主要是热 预计到2050年,泵和生物质的份额将达到10%。 货运逐渐转向可再生技术,包括氢和基于电力的运输方式。 结论 该模型的结果证明,在电力,热力和运输方面向低碳能源系统的过渡 到2050年,该行业在技术上和经济上都是可行的。由于现有的潜力和规模 到2050年,太阳能将成为重要的电力技术。而西北地区 水电和太阳能资源丰富,东海岸正在努力满足人口稠密的需求 大城市。鉴于西部地区高可再生潜力与沿海地区能源需求巨大之间的不平衡 该模型证实了有必要将中国现有的主干网格从西扩展到东。经过 随着西气东输能力的增强,中国可以摆脱化石燃料的依赖。

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