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Estimation of externality costs of electricity generation from coal: An OH-MARKAL extension dissertation.

机译:煤炭发电的外部成本估算:OH-MARKAL扩展论文。

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摘要

Anthropogenic green house gas (GHG) emissions, such as those emitted by coal-fired power plants, are reported by the Intergovernmental Panel on Climate Change to be very likely influencing the global climate change. Many states of the US have adopted a renewable electricity portfolio standard to facilitate incorporation of renewable energy sources to mitigate GHG impacts. Ohio's advanced electricity portfolio includes clean coal and renewable sources leaving leeway for continued large dependency on coal. The argument for deployment of coal-fired electricity to a large extent is the lower upfront private cost of electricity. However, ongoing coalmining impacts in Ohio and unregulated Carbon dioxide (CO2) suggest that the current price structure of Ohio does not reflect the true cost of electricity. This inability of the prevailing cost structure to fully internalize the externalities misleads the decision makers from providing a level playing field for renewable energy sectors which could reduce water pollution, global warming, and potentially create green jobs.;This dissertation identifies the externalities of coal-based electricity generation and evaluates the externalities inadequately addressed by contemporary regulatory framework. Three major areas addressed by this research are evaluation of coalmining impacts on lake recreation; estimation of reclamation costs and revisiting the taxes on coal mined in Ohio; and the impacts of internalizing the externalities on electricity portfolio of Ohio.;The visitation function model was developed to evaluate two important aspects of coalmining impact. First, the externality associated with coalmining on five of the impacted lakes is estimated as ;Reclamation costs were estimated for existing coalmining problems in Ohio. Estimated reclamation costs is ;A federal fee of ;Based upon these research results on five of the impacted lakes, Potential Pareto Improvement (PPI) could be demonstrated for continued reclamation of the coalmining problems for Seneca Lake and Wills Creek Lake. Our analysis does not include all the impacted lakes and notably excludes revenue from increased house and land values, aesthetic improvement, recreation on streams, and impacts on wild life. Estimation of revenue from all these sectors upon reclamation would help determine the PPI of reclamation.;Including these externality costs in OH-MARKAL model indicates a reduction of average annual share of coal-based electricity generation by 0.3%. More importantly, reduction in CO2 emissions by 15,000 to 574,000 tons/year will be achieved.
机译:政府间气候变化专门委员会报告说,人为温室气体(GHG)排放,例如燃煤发电厂的排放,很可能会影响全球气候变化。美国许多州已经采用了可再生电力投资组合标准,以促进可再生能源的整合,以减轻温室气体的影响。俄亥俄州的先进电力组合包括清洁煤和可再生能源,为继续大量依赖煤炭留有余地。在很大程度上部署燃煤电力的理由是较低的前期私人电力成本。但是,俄亥俄州对煤矿的持续影响以及不受管制的二氧化碳(CO2)表明,俄亥俄州的当前价格结构并未反映出真实的电力成本。现行成本结构无法完全内部化外部性,这误导了决策者无法为可再生能源部门提供公平的竞争环境,从而减少水污染,全球变暖并可能创造绿色就业机会。以发电为基础,并评估当前监管框架未充分解决的外部性。这项研究涉及的三个主要领域是评估采煤对湖泊游憩的影响。估算开垦成本并重新评估俄亥俄州开采的煤炭的税收;探访函数模型用于评估煤矿开采影响的两个重要方面。首先,与五个受影响湖泊的煤矿开采相关的外部性估计为;对俄亥俄州现有煤矿开采问题的填海成本进行了估计。估计的开垦成本为;联邦费用为;根据对五个受影响湖泊的研究结果,可以证明潜在的帕累托改进(PPI)可以继续开垦塞内卡湖和威尔斯溪湖的煤矿问题。我们的分析未包括所有受影响的湖泊,并且特别排除了房屋和土地价值增加,美学改善,溪流休闲以及对野生生物造成的影响。估算回收期间所有这些部门的收入将有助于确定回收的PPI 。;将这些外部性成本包括在OH-MARKAL模型中,表明煤炭发电的年均份额下降了0.3%。更重要的是,每年将减少二氧化碳排放量15,000吨至574,000吨。

著录项

  • 作者

    Khadka Mishra, Shruti.;

  • 作者单位

    The Ohio State University.;

  • 授予单位 The Ohio State University.;
  • 学科 Economics General.;Environmental Sciences.;Engineering Environmental.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 151 p.
  • 总页数 151
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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