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A study on the impact of nuclear power plant construction relative to decommissioning Fossil Fuel Power Plant in order to reduce carbon dioxide emissions using a modified Nordhaus Vensim DICE model

机译:使用改良的Nordhaus Vensim DICE模型对核电厂建设与化石燃料电厂退役以减少二氧化碳排放量的影响进行的研究

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摘要

The current levels of CO2 emissions and high levels accumulating in the atmosphere have climate scientists concerned. The Dynamic Integrated Climate Economy Model or "DICE" for short is a highly developed model that has been used to simulate climate change and evaluate factors addressing global warming. The model was developed by Yale's Nordhaus along with collaborators and the compilation of numerous scientific publications. The purpose of this study is to recreate DICE using Vensim and modify it to evaluate the use of nuclear power plants (NPPs) as a means to counter global temperature increases in the atmosphere and oceans and the associated cost of damages. The amount of greenhouse gas emissions from a NPP are about 6% per Megawatt as that from a Fossil Fuel Power Plant (FFPP). Based on this, a model was developed to simulate construction of NPPs with subsequent decommissioning of FFPPs with an equivalent power output. The results produced through multiple simulation runs utilizing variable NPP construction rates show that some minor benefit is achievable if all of the more than 10,000 FFPPs currently in operation in the U.S. are replaced with NPPs. The results show that a reduction in CO 2 emissions of 2.48% will occur if all of the FFPPs are decommissioned. At a minimum rate of 50 NPPs constructed per year, the largest reduction in CO2 in the atmosphere, 1.94% or 44.5 billion tons of carbon, is possible. This results in a reduction in global warming of 0.068°C or 1.31%. The results also show that this reduction in global warming will be equivalent to a reduction of 8.2% or $148 B in anticipated annual spending as a result of climate change damages. Further results indicate that using NPPs to address climate change will provide a small benefit; ultimately, it will not be enough to reduce CO2 emissions or atmospheric CO 2 to control global warming. The amount of CO2 in the atmosphere is predicted to be 1055 parts per million (ppm) even in the best case scenario, which is well above the current limit of 350 ppm proposed by Hansen et. al.
机译:当前的二氧化碳排放水平和大气中高水平的积累使气候学家感到关注。动态综合气候经济模型或简称“ DICE”是一种高度发展的模型,已用于模拟气候变化和评估解决全球变暖的因素。该模型是由耶鲁大学的Nordhaus与合作者共同开发的,并汇编了许多科学出版物。这项研究的目的是使用Vensim重新创建DICE,并对其进行修改以评估核电站(NPP)的使用,以此作为应对大气层和海洋中全球温度升高及其相关损失成本的手段。与化石燃料发电厂(FFPP)相比,核电厂的温室气体排放量约为每兆瓦6%。在此基础上,开发了一个模型来模拟NPP的构造,并随后以相等的功率输出停用FFPP。通过使用可变NPP建造率进行的多次模拟运行得出的结果表明,如果将目前在美国运行的10,000多个FFPP全部替换为NPP,则可以获得一些小收益。结果表明,如果所有FFPP退役,CO 2排放量将减少2.48%。以每年最少建造50个NPP的速度,大气中二氧化碳的最大减少量(1.94%或445亿吨的碳)是可能的。这导致全球变暖减少了0.068°C或1.31%。结果还表明,由于气候变化破坏,这种全球变暖的减少将相当于预期年度支出减少8.2%或$ 148B。进一步的结果表明,使用核电厂解决气候变化将带来很小的好处;最终,减少二氧化碳排放量或减少大气中的CO 2来控制全球变暖还远远不够。即使在最理想的情况下,预计大气中的二氧化碳含量也将达到百万分之1055(ppm),这远高于Hansen等人提出的当前极限350 ppm。等

著录项

  • 作者

    Colpetzer, Jason Lee.;

  • 作者单位

    University of Idaho.;

  • 授予单位 University of Idaho.;
  • 学科 Nuclear engineering.;Climate change.
  • 学位 M.S.
  • 年度 2014
  • 页码 142 p.
  • 总页数 142
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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