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RESIDENTIAL ENERGY CONSERVATION: A DESCRIPTIVE MODEL OF INDIVIDUAL CHOICE

机译:住宅能源节约:个人选择的描述模型

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摘要

Energy conservation can be thought of as an energy resource, similar to coal, hydropower, and other traditional energy sources. The task facing energy planners is to select the least-cost mix of energy resources, including conservation, that will meet energy demand. Conservation is at a disadvantage in this competition for least-cost supply, due to the difficulty in promoting conservation and in predicting the effects of conservation programs. To support the optimal use of conservation, models of conservation choice are often used to both predict and explain conservation behavior.;Models of conservation choice typically assume that consumers make conservation choices so as to minimize life-cycle costs. Considerable research effort has gone into determining the consumer discount rate used to compare present costs with future savings. Empirical evidence has found discount rates to vary widely, which has cast doubt on the cost-minimization assumption.;In this study, an alternative model of conservation choice is presented. In this model, consumers are not assumed to minimize life-cycle costs, and non-financial factors such as time required for installation are included. Five factors are identified as causal influences on conservation choice, and these factors are measured using an original household survey. The resulting model is shown to correctly predict conservation choice in 74.7% of the households. An innovative discrete choice method (CART) is used to show that perceived savings have little predictive power.
机译:节能可以被视为一种能源,类似于煤炭,水力发电和其他传统能源。能源规划人员面临的任务是选择能够满足能源需求的成本最低的能源组合,包括节约能源。由于在促进保护和预测保护计划的效果方面存在困难,因此在最低成本供应的竞争中,保护处于不利地位。为了支持对保护的最佳利用,通常使用保护选择模型来预测和解释保护行为。;保护选择模型通常假定消费者做出保护选择,以最小化生命周期成本。为了确定用于将当前成本与未来节省额进行比较的消费者折扣率,已经进行了大量的研究工作。经验证据表明贴现率变化很大,这对成本最小化的假设提出了质疑。在本研究中,提出了一种保护选择的替代模型。在此模型中,不假定消费者将生命周期成本降至最低,并且包括了非财务因素,例如安装所需的时间。确定了五个因素作为对保护选择的因果影响,这些因素是使用原始的家庭调查测得的。结果模型表明正确预测了74.7%的家庭的保护选择。创新的离散选择方法(CART)用于显示感知的节省几乎没有预测能力。

著录项

  • 作者

    KOMOR, PAUL STUART.;

  • 作者单位

    Stanford University.;

  • 授予单位 Stanford University.;
  • 学科 Civil engineering.;Energy.
  • 学位 Ph.D.
  • 年度 1987
  • 页码 183 p.
  • 总页数 183
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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