Optimizing water delivery system storage and its influence on air pollutant emission reduction

Optimizing water delivery system storage and its influence on air pollutant emission reduction
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优化输水系统蓄水及其对大气污染物减排的影响

DOI:
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发表时间:
2013
期刊:
2013 International Green Computing Conference Proceedings
影响因子:
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通讯作者:
Caisheng Wang
Caisheng Wang
中科院分区:
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文献类型:
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作者:
Steven X. Jin;Carrie Loya;Eric Tucker;A. Qaqish;Carol J. Miller;S. McElmurry;Caisheng Wang

文献摘要

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本文提出了一种定量的方法来估计二氧化碳(CO2)的减排量,通过优化供水系统中的储水操作。该方法使用输水系统的水力模型进行抽水能量优化分析与均衡水存储和识别实时发电类型的基础上洛伊托边际价格(LMP)数据在开放的电力市场。实时污染物减排量是根据小时值班发电类型和不同类型发电的污染物排放率进行评估的。一个例子是应用所提出的方法,在密歇根州底特律地区的一个大型输水系统。分析结果显示,每日减少二氧化碳排放量26. 1吨,占二零一二年最高日需量情况下抽水耗电所产生的二氧化碳排放总量约3%。
This paper presents a quantitative approach to estimating the carbon dioxide (CO2) emission reduction by optimizing water storage operations in water delivery systems. This approach uses hydraulic models of water delivery systems to perform pumping energy optimization analyses with equalization water storage and identifies real-time electrical generation types based on Locational Marginal Price (LMP) data available in open electrical markets. The real-time pollutant emission reduction has been evaluated based on hourly on-duty generation types and pollutant emission rates for different types of generation. An example is presented that applied the proposed approach to a large water delivery system in the Metro Detroit area, Michigan. The analysis results showed a daily CO2 emission reduction of 26.1 tonnes, which accounted for approximately 3% of the total CO2 emission produced by the electricity consumption for pumping water under the maximum day demand condition of 2012.