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Energy systems modeling to support policy making

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datasource.kapsarc.org2014-02-06 更新2025-03-22 收录
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Summary for policymakersIn October 2013, KAPSARC convened a workshop in Washington, DC attended by some 30 international energy economic modeling and policy experts. Discussions addressed the need to match evolving policy imperatives with new and improved modeling approaches.The main needs of energy system models over the past three decades trace a journey from an era in which concerns about security and sufficiency of supply were the dominant themes (1970s and 1980s), through a swing towards liberalizing markets, particularly North American natural gas and electric power (1980s and 1990s), to a growing concern about climate change and greenhouse gas emissions (2000s). In addition, there are now numerous countries with quickly developing economies under central economic controls. Perhaps the future will require models that optimize the energy economies of such countries, developing under a centralized state capitalism model and administered prices.As policy imperatives evolved over time, so did the various models and their types, changing their techniques and evolving their data sources. As a result, there is now a plethora of different models that cater to the evolving needs of policy makers, including optimization, equilibrium, and macroeconometric models.Successful models to support policy interventions distinguish between: - the policy objectives or needs for the degree of intervention necessary, -the measures and targets used to influence the decision making environment in the sector or economy, and - the actions which address the policy objectives and meet the targets. As valuable as these models are in describing various scenarios, policy makers can, nonetheless, benefit from remembering that model outputs are not forecasts so much as descriptions of what would happen if the representation of reality they describe were to play out. Models are always simplifications of reality and there will always be exogenous factors that lead to a difference between “forecasts” and the actual outturn

政策制定者摘要 2013年10月,卡塔尔能源、石油和矿产研究所(KAPSARC)在华盛顿特区举办了一次研讨会,约30位国际能源经济模型和政策专家参加了此次会议。研讨内容涉及如何将不断演变的政策需求与新的和改进的建模方法相匹配。过去三十年中能源系统模型的主要需求描绘了一条从关注供应安全性和充足性的时代(20世纪70年代和80年代),过渡到市场化改革时代,尤其是北美天然气和电力市场(20世纪80年代和90年代),再到对气候变化和温室气体排放日益关注的历程(21世纪初)。此外,现在有许多国家在经济上正迅速发展,且受到中央经济控制。或许未来将需要能够优化这类国家能源经济的模型,这些国家在中央国家资本主义模式下发展,并实行行政定价。随着政策需求随时间演变,各种模型及其类型也随之发展,改变其技术并演进其数据来源。因此,现在存在着大量不同类型的模型,以满足政策制定者的不断变化的需求,包括优化、均衡和宏观经济计量模型。成功的模型在支持政策干预方面区分了以下方面: - 政策目标或对干预程度的需要, - 用于影响该部门或经济决策环境中的措施和目标,以及 - 针对政策目标并满足目标的行动。 尽管这些模型在描述各种情景方面非常有价值,但政策制定者仍应记住,模型输出并非预测,更多的是描述如果他们所描述的现实得以实现,将会发生什么。模型始终是对现实的简化,并且总会有外生因素导致‘预测’与实际结果之间的差异。
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