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Investigating the Relationship between Energy Consumption, CO2 Emissions, and the Factors Affecting Them in the United States Building Sector : A Macro and Micro View

机译:在美国建筑业中研究能耗,CO2排放量及其影响因素之间的关系:宏观和微观观点

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摘要

The United States building sector was the most significant carbon emission contributor (over 40%). The United States government is trying to decrease carbon emissions by enacting policies, but emissions increased by approximately 7 percent in the U.S. between 1990 and 2013. To reduce emissions, investigating the factors affecting carbon emissions should be a priority. Therefore, in this dissertation, this research examine the relationship between carbon emissions and the factors affecting them from macro and micro perspectives. From a macroscopic perspective, the relationship between carbon dioxide, energy resource consumption, energy prices, GDP (gross domestic product), waste generation, and recycling waste generation in the building and waste sectors has been verified. From a microscopic perspective, the impact of non-permanent electric appliances and stationary and non-stationary occupancy has been investigated. To verify the relationships, various kinds of statistical and data mining techniques were applied, such as the Granger causality test, linear and logarithmic correlation, and regression method. The results show that natural gas and electricity prices are higher than others, as coal impacts their consumption, and electricity and coal consumption were found to cause significant carbon emissions. Also, waste generation and recycling significantly increase and decrease emissions from the waste sector, respectively. Moreover, non-permanent appliances such as desktop computers and monitors consume a lot of electricity, and significant energy saving potential has been shown. Lastly, a linear relationship exists between buildings' electricity use and total occupancy, but no significant relationship exists between occupancy and thermal loads, such as cooling and heating loads. These findings will potentially provide policymakers with a better understanding of and insights into carbon emission manipulation in the building sector.
机译:美国建筑部门是最重要的碳排放贡献者(超过40%)。美国政府正试图通过制定政策来减少碳排放量,但在1990年至2013年期间,美国的排放量增加了约7%。要减少排放量,应优先研究影响碳排放量的因素。因此,本论文从宏观和微观的角度研究了碳排放与影响碳排放的因素之间的关系。从宏观的角度,已经验证了二氧化碳,能源资源消耗,能源价格,GDP(国内生产总值),废物产生以及建筑和废物部门中回收废物产生之间的关系。从微观的角度,研究了非永久性电器以及固定和非固定占用的影响。为了验证这种关系,应用了各种统计和数据挖掘技术,例如Granger因果检验,线性和对数相关性以及回归方法。结果表明,天然气和电价高于其他价格,因为煤炭会影响其消费,而电和煤的消费会导致大量的碳排放。此外,废物的产生和回收分别显着增加和减少了废物部门的排放。此外,台式计算机和显示器等非永久性设备消耗大量电力,并且已经显示出巨大的节能潜力。最后,建筑物的用电量和总占用量之间存在线性关系,但占用量和热负荷(例如冷热负荷)之间不存在显着关系。这些发现可能会为决策者提供对建筑部门碳排放操纵的更好的理解和见解。

著录项

  • 作者

    Lee, Seungtaek.;

  • 作者单位

    Arizona State University.;

  • 授予单位 Arizona State University.;
  • 学科 Civil engineering.;Sustainability.
  • 学位 Ph.D.
  • 年度 2018
  • 页码 127 p.
  • 总页数 127
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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