The engineering, economic and environmental electricity simulation tool (E4ST): description and an illustration of its capability and use as a planning/policy analysis tool

Biao Mao, Daniel Shawhan, Ray Zimmerman, Jubo Yan, Yujia Zhu, William Schulze, Richard Schuler, Daniel Tylavsky

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

A new planning tool for analyzing power systems in detail, including the long-run technical, economic and environmental consequences of policy or investment interventions, is now available for download by the public, without charge, at E4ST.com. The Engineering, Economic and Environmental Electricity Simulation Tool and its components are described here, and its accuracy is assessed through predictions of actual LMPs in the Eastern Interconnection. The usefulness of the tool is illustrated by an evaluation of the commercial feasibility of a proposed electric transmission line connecting Hydro Quebec to New York City, the Champlain-Hudson Power Express.

Original languageEnglish (US)
Title of host publicationProceedings of the 49th Annual Hawaii International Conference on System Sciences, HICSS 2016
PublisherIEEE Computer Society
Pages2317-2325
Number of pages9
Volume2016-March
ISBN (Electronic)9780769556703
DOIs
StatePublished - Mar 7 2016
Event49th Annual Hawaii International Conference on System Sciences, HICSS 2016 - Koloa, United States
Duration: Jan 5 2016Jan 8 2016

Other

Other49th Annual Hawaii International Conference on System Sciences, HICSS 2016
CountryUnited States
CityKoloa
Period1/5/161/8/16

ASJC Scopus subject areas

  • Engineering(all)

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    Mao, B., Shawhan, D., Zimmerman, R., Yan, J., Zhu, Y., Schulze, W., Schuler, R., & Tylavsky, D. (2016). The engineering, economic and environmental electricity simulation tool (E4ST): description and an illustration of its capability and use as a planning/policy analysis tool. In Proceedings of the 49th Annual Hawaii International Conference on System Sciences, HICSS 2016 (Vol. 2016-March, pp. 2317-2325). [7427473] IEEE Computer Society. https://doi.org/10.1109/HICSS.2016.290