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Climate and energy scenarios for Ireland to 2050 using the Irish TIMES energy systems model

机译:使用爱尔兰TIMES能源系统模型的爱尔兰到2050年的气候和能源情景

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摘要

Due to growing concerns regarding the anthropogenic interference with the climate system, countries across the world are being challenged to develop effective strategies to mitigate climate change by reducing or preventing greenhouse gas (GHG) emissions. The European Union (EU) is committed to contribute to this challenge by setting a number of climate and energy targets for the years 2020, 2030 and 2050 and then agreeing effort sharing amongst Member States. This thesis focus on one Member State, Ireland, which faces specific challenges and is not on track to meet the targets agreed to date. Before this work commenced, there were no projections of energy demand or supply for Ireland beyond 2020. This thesis uses techno-economic energy modelling instruments to address this knowledge gap. It builds and compares robust, comprehensive policy scenarios, providing a means of assessing the implications of different future energy and emissions pathways for the Irish economy, Ireland’s energy mix and the environment. A central focus of this thesis is to explore the dynamics of the energy system moving towards a low carbon economy. This thesis develops an energy systems model (the Irish TIMES model) to assess the implications of a range of energy and climate policy targets and target years. The thesis also compares the results generated from the least cost scenarios with official projections and target pathways and provides useful metrics and indications to identify key drivers and to support both policy makers and stakeholder in identifying cost optimal strategies. The thesis also extends the functionality of energy system modelling by developing and applying new methodologies to provide additional insights with a focus on particular issues that emerge from the scenario analysis carried out. Firstly, the thesis develops a methodology for soft-linking an energy systems model (Irish TIMES) with a power systems model (PLEXOS) to improve the interpretation of the electricity sector results in the energy system model. The soft-linking enables higher temporal resolution and improved characterisation of power plants and power system operation Secondly, the thesis develops a methodology for the integration of agriculture and energy systems modelling to enable coherent economy wide climate mitigation scenario analysis. This provides a very useful starting point for considering the trade-offs between the energy system and agriculture in the context of a low carbon economy and for enabling analysis of land-use competition. Three specific time scale perspectives are examined in this thesis (2020, 2030, 2050), aligning with key policy target time horizons. The results indicate that Ireland’s short term mandatory emissions reduction target will not be achieved without a significant reassessment of renewable energy policy and that the current dominant policy focus on wind-generated electricity is misplaced. In the medium to long term, the results suggest that energy efficiency is the first cost effective measure to deliver emissions reduction; biomass and biofuels are likely to be the most significant fuel source for Ireland in the context of a low carbon future prompting the need for a detailed assessment of possible implications for sustainability and competition with the agri-food sectors; significant changes are required in infrastructure to deliver deep emissions reductions (to enable the electrification of heat and transport, to accommodate carbon capture and storage facilities (CCS) and for biofuels); competition between energy and agriculture for land-use will become a key issue. The purpose of this thesis is to increase the evidence-based underpinning energy and climate policy decisions in Ireland. The methodology is replicable in other Member States.
机译:由于越来越多的人为干扰气候系统的担忧,世界各地的国家都面临着制定有效战略以减少或防止温室气体(GHG)排放来缓解气候变化的挑战。欧洲联盟(EU)致力于通过为2020年,2030年和2050年设定许多气候和能源目标,然后商定成员国之间的共同努力来应对这一挑战。本文着眼于一个面临特殊挑战且无法实现迄今商定目标的爱尔兰。在这项工作开始之前,没有关于2020年以后爱尔兰能源需求或供应的预测。本文使用技术经济能源建模工具来解决这一知识缺口。它建立并比较了强大而全面的政策方案,提供了评估未来不同能源和排放途径对爱尔兰经济,爱尔兰能源结构和环境的影响的方法。本文的重点是探讨能源系统向低碳经济发展的动力。本文开发了一个能源系统模型(爱尔兰TIMES模型)来评估一系列能源和气候政策目标以及目标年份的含义。本文还将成本最低的情景所产生的结果与官方的预测和目标路径进行了比较,并提供了有用的指标和指示来识别关键驱动因素,并支持决策者和利益相关者共同确定成本最优策略。本文还通过开发和应用新的方法论来扩展能源系统建模的功能,以提供更多的见解,重点关注从进行的方案分析中出现的特定问题。首先,论文提出了一种将能源系统模型(爱尔兰时间)与电力系统模型(PLEXOS)进行软链接的方法,以改善对能源系统模型中电力部门结果的解释。软链接可实现更高的时间分辨率并改善电厂和电力系统运行的特性。其次,本文开发了一种将农业和能源系统模型集成在一起的方法,从而能够进行连贯的经济范围内的气候减缓情景分析。这为在低碳经济背景下考虑能源系统与农业之间的权衡以及分析土地利用竞争提供了非常有用的起点。本文针对三个关键的时间尺度视角(2020年,2030年,2050年),与关键的政策目标时间范围相吻合。结果表明,如果不对可再生能源政策进行重大的重新评估,爱尔兰的短期强制性减排目标将无法实现,而且当前针对风力发电的主要政策定位不当。从中长期来看,结果表明,提高能效是减少排放的第一种具有成本效益的措施。在未来低碳的背景下,生物质和生物燃料可能是爱尔兰最重要的燃料来源,这促使需要对可持续性和与农业食品部门竞争的可能影响进行详细评估;需要对基础设施进行重大改变,以实现大幅度的减排(使供热和运输电气化,容纳碳捕集与封存设施(CCS)以及用于生物燃料);能源和农业之间在土地利用方面的竞争将成为关键问题。本文的目的是增加爱尔兰基于证据的能源和气候政策决策。该方法可在其他会员国复制。

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    Chiodi Alessandro;

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  • 年度 2014
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