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Quasi-Input-Output model to improve the estimation of emission factors for purchased electricity from interconnected grids

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A Quasi-Input-Output model to improve the estimation of emission factors for purchased electricity from interconnected grids

作者:Qu, S(Qu, Shen);Wang, HX(Wang, Hongxia);Liang, S(Liang, Sai);Shapiro, AM(Shapiro, Avi M.);Suh, SW(Suh, Sanwong);Sheldon, S(Sheldon, Seth);Zik, O(Zik, Ory);Fang, H(Fang, Hong);Xu, M(Xu, Ming)

APPLIED ENERGY

卷:200

页:249-259

DOI:10.1016/j.apenergy.2017.05.046

出版年:AUG 15 2017

摘要

Estimatingtheembodied emissions inelectricityhas beenachallenge duetotheinterconnectednessofelectricalgrids. Previous studies useavarietyofmethods that are often inaccurate or difficulttoimplement, lackingastandardized tool. We proposeamethod adaptedfromtheeconomic input-output theory, which we term as "Quasi-Input-Output(QIO)"model,toevaluate embodied emissions inpurchasedelectricity.Themethod takes into accountthedifference betweenthenaturesoftrade inelectricityand in goods and services, abletocapturetheeffectsofboth direct and higher-orderelectricitytransfers inthenetwork. We usetheEurasian Continent grid network asacase, identifying regions where inter-gridelectricitytransfers, both direct and high-order, have sizable impacts on estimatedemissionfactorsofpurchasedelectricity. Overall, while ignoringelectricitytrade can result in errors in embodied emissionsestimation, directly adjustingforelectricitytrade (neglecting higher-order trade) tendstogenerate inaccuracies intheopposite direction. Ourmodelcan be potentially applied asastandard toolfortheaccountingofembodied emissions inpurchasedelectricityin inter-gridelectricitytrade systems. It also providesafoundationforfurther applicationsofinput-output theory intheanalysisofdemand-side driversforenvironmental impactsofinterconnectedgrids. (C) 2017 Elsevier Ltd. All rights reserved.

作者信息

通讯作者地址:Xu, M (通讯作者)

电子邮件地址:mingxu@umich.edu

出版商

ELSEVIER SCI LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND

类别 / 分类

研究方向:Energy & Fuels; Engineering

Web of Science 类别:Energy & Fuels; Engineering, Chemical

文献信息

文献类型:Article

语种:English

入藏号:WOS:000403418200021

ISSN:0306-2619

eISSN:1872-9118

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