Linking load demands to power generation pollutant emissions based on locational marginal prices

Caisheng Wang, C. J. Miller, T. H. Carter, S. McElmurry, M. Rogers, S. Miller, I. A. Hutt
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引用次数: 1

Abstract

A model has been developed that links electric power load demands to power generation pollutant emissions using data available to the general public. The relationship between generation costs and generation types is developed first using real-time fuel cost data. The locational marginal price (LMP) at any bus in the system is then used to determine the generating unit type that is “marginal” at any specific point in space and time. Emission factors associated with power generator types are obtained through data from the US Environmental Protection Agency (EPA). Historical energy consumption and emissions data is used to validate the approach. The model can be used to estimate changes in emissions associated with incremental changes in power demand or shifting of power demands in space and time. A pilot study has been carried out using demand loads from the water distribution network of the Detroit Water and Sewerage Department (DWSD). The DWSD is one of the largest water utilities in the US; the electric power dispatch is managed by the Midwest Independent System Operator (MISO). The paper provides examples of potential applications of the model to improve public awareness of sustainability issues associated with personal energy consumption decisions.
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基于区位边际价格的负荷需求与发电污染物排放的关联
已经开发了一个模型,利用公众可获得的数据将电力负荷需求与发电污染物排放联系起来。首先利用实时燃料成本数据建立发电成本与发电类型之间的关系。然后使用系统中任何母线的位置边际价格(LMP)来确定在任何特定空间和时间点上的“边际”发电机组类型。与发电机类型相关的排放因子通过美国环境保护署(EPA)的数据获得。历史能源消耗和排放数据用于验证该方法。该模型可用于估计与电力需求增量变化或电力需求在空间和时间上的转移相关的排放变化。一项试点研究利用底特律供水和污水处理部门(DWSD)的配水网络的需求负荷进行。水务署是美国最大的水务公司之一;电力调度由中西部独立系统运营商(MISO)管理。本文提供了该模型的潜在应用实例,以提高公众对与个人能源消费决策相关的可持续性问题的认识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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