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A new methodology for predicting the GHG emission reductions due to electricity savings in the residential sector.

机译:一种新的方法来预测由于住宅部门的节电而导致的温室气体排放量减少。

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摘要

In Canada, each province has its own electric utility system, and each system is responsible for meeting the demand of its customer base. Electricity demand in all provinces is highly variable throughout the day, as well as during the year, and the electric utility system operators must ensure that electricity demand is met continuously. In order to achieve a good match between electricity demand and generation, a mix of base load and peaking load power plants are used, which use different fuel sources.;The magnitude of and the fuel used for marginal electricity generation vary from province to province and from hour to hour. To estimate the reduction in GHG emissions, it is necessary to have information on both the magnitude of the marginal electricity generation, and the fuel used to generate the marginal electricity for each province on an hourly time scale. However, this information is regarded confidential by most utilities and is not made public. In addition, due to the continuously changing operational and economic conditions, it is practically impossible to predict with precision the magnitude of the marginal generation and the fuel used on a time scale of hours, or even days.;The objective of this research is to develop a realistic and viable methodology to calculate the amount of GHG emission reductions associated with the reduction in electricity consumption due to implementing solar technologies or energy efficiency measures. Since electricity savings will be within the marginal capacity, a marginal GHG intensity factor (g CO2eq/kWh), which is the amount of GHG emissions produced as result of producing one kWh of electricity on the margin, is estimated for each province based on published estimates of marginal generation magnitude and fuels used for marginal generation.;The results obtained are compared with the estimates obtained from previous studies that utilize average GHG intensity factors and GHG intensity factors for only fossil fuel fired power plants.;When a solar technology or an energy efficiency measure is implemented on a wide scale in the residential sector that results in electricity savings, the electricity savings reflect in the peak (marginal) electricity generation. Thus, the greenhouse gas emission (GHG) reduction due to the reduction in electricity generation corresponds to the fuel used to generate the electricity at the margin.
机译:在加拿大,每个省都有自己的电力系统,每个系统负责满足其客户群的需求。全省以及全年的电力需求变化很大,电力系统运营商必须确保持续满足电力需求。为了在电力需求和发电之间实现良好的匹配,使用了基本负荷电厂和峰值负荷电厂的混合使用,这些电厂使用不同的燃料来源。边际发电的规模和燃料因省而异,从一个小时到另一个小时。要估算温室气体排放量的减少,有必要获得每小时边际发电量以及每个省的边际发电量所用燃料的信息。但是,大多数公用事业将此信息视为机密信息,并且不会公开。另外,由于运营和经济条件的不断变化,实际上不可能在数小时甚至数天的时间尺度上精确预测边际发电量和所用燃料的量。本研究的目的是开发一种现实可行的方法,以计算由于实施太阳能技术或能源效率措施而减少的电力消耗所减少的温室气体排放量。由于节电将在边际容量之内,因此根据发布的数据,估算每个省的边际GHG强度因子(g CO2eq / kWh),即边际发电1 kWh所产生的GHG排放量。边际发电量和边际发电所用燃料的估计值;将获得的结果与以前研究的估计值进行比较,这些研究仅将平均温室气体强度因子和温室气体强度因子用于化石燃料发电厂。节能措施在住宅部门得到了广泛实施,从而实现了节电,节电反映在高峰(边际)发电量中。因此,由于发电量的减少而导致的温室气体排放量(GHG)的减少对应于在边缘处用于发电的燃料。

著录项

  • 作者

    Farhat, Amal Ahmed Mohmed.;

  • 作者单位

    Dalhousie University (Canada).;

  • 授予单位 Dalhousie University (Canada).;
  • 学科 Mechanical engineering.;Environmental engineering.;Energy.
  • 学位 M.A.Sc.
  • 年度 2009
  • 页码 132 p.
  • 总页数 132
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 非洲史;
  • 关键词

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