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The influences of urban forms on residential energy consumption: A demand-side forecasting method for energy scenarios.

机译:城市形态对住宅能耗的影响:能源情景的需求侧预测方法。

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摘要

Current trends in energy demand impose increasing stress on the socio-ecological state of developed countries like the U.S. A major challenge lies in how to efficiently manage energy resources in a sustainable way to protect the environment. Various forecasting approaches have been developed to predict energy demand trends. These approaches have not investigated the influence of urban form on household energy consumption. This research combines one of the forecasting methods with sustainable development practices to predict possible energy demand based on different spatial housing forms (compact and dense, mixed uses, and low density).;The research has five objectives; the first is to develop a spatial Planning Support System (PSS) to forecast residential energy consumption. The PSS is integrated with an existing urban simulation model called the Charlotte Land Use and Economic Simulator (CLUES). The second objective is to develop a statistical operational model of household energy consumption that accounts for socio-economic, geometric, spatial, and macroeconomic condition determinants. Inserted in the PSS, this model serves to forecast consumption under a series of scenarios that account for various policies in urban development, environmental protection, and green technology applications at fine (household) through coarse (traffic analysis zone) resolutions, over short- and long-terms.;The third and fourth objectives assess the contribution of the geometries factors and the condition and socio-economic variables, respectively, to various alternatives of residential energy consumption. The fifth objective is to assess the consequences of different scenarios on social equity and energy share per household across population groups.;The research is conducted in Mecklenburg County over the 2008-2037 horizon. It determines the suitable system architecture of the developed PSS, and finds the drivers that have significant impacts on residential energy consumption. In addition, the study examines the magnitude of different sustainable policies on household energy consumption and population groups. The expected outcome is an enhanced understanding of the energy implications of various policy and planning strategies at the local, regional, and national scales, in the context of various possible future contexts.
机译:当前能源需求的趋势对美国等发达国家的社会生态状况施加了越来越大的压力。主要的挑战在于如何以可持续的方式有效地管理能源,以保护环境。已经开发了各种预测方法来预测能量需求趋势。这些方法尚未研究城市形式对家庭能源消耗的影响。这项研究将一种预测方法与可持续发展实践相结合,根据不同的空间住房形式(紧凑而密集,混合使用和低密度)来预测可能的能源需求。首先是开发空间规划支持系统(PSS)来预测住宅能耗。 PSS与称为“夏洛特土地利用和经济模拟器(CLUES)”的现有城市模拟模型集成在一起。第二个目标是建立一个家庭能源消耗的统计操作模型,该模型应考虑社会经济,几何,空间和宏观经济状况的决定因素。插入PSS中后,该模型可以预测一系列情景下的消费情况,这些情景应考虑到城市发展,环境保护和绿色技术应用中的各种政策,这些条件可以通过短期(交通分析区域)的高分辨率,短期和精细的条件(家庭)使用。第三和第四目标分别评估了几何因素以及条件和社会经济变量对住宅能源消耗的各种替代方案的贡献。第五个目标是评估不同情景对不同人群在每个家庭的社会公平和能源份额的影响。该研究在2008年至2037年的梅克伦堡县进行。它确定了已开发的PSS的合适系统架构,并找到了对住宅能耗产生重大影响的驱动程序。此外,该研究考察了有关家庭能源消耗和人口群体的不同可持续政策的规模。预期的结果是在未来各种可能的情况下,加深对地方,区域和国家范围内各种政策和规划策略的能源影响的理解。

著录项

  • 作者

    Ali, Amr Mohamed Mohamed.;

  • 作者单位

    The University of North Carolina at Charlotte.;

  • 授予单位 The University of North Carolina at Charlotte.;
  • 学科 Geography.;Energy.;Urban and Regional Planning.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 164 p.
  • 总页数 164
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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