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Current and near-term GHG emissions factors from electricity production for New York State and New York City

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journal contribution
posted on 08.11.2017 by Bianca Howard, M. Waite, V. Modi
This paper reports estimates of average GHG emissions factors for New York State and marginal GHG emissions factors for interventions in New York City. A multi-regional unit commitment model was developed to simulate the behavior of the grid. The parameters defining the system operation were gathered from several publicly available data sources including historical hourly electricity production and fuel consumption from over one hundred power plants. Factors were estimated for a baseline year of 2011 and subsequently for the year 2025 considering planned power plant additions and retirements. Future scenarios are also developed considering different wind turbine installation growth rates and policies affecting the cost of generation from coal power plants. The work finds marginal GHG emissions factors for New York City could reduce between 30 and 36% from 540 kg CO2e/MWh in 2011 for all future scenarios considered. Average GHG emissions factors for New York State could reduce 9 to 39% from 215 kg CO2e/MWh depending on the wind growth rate and price burden on coal power plants.

Funding

Partial support for this research was provided by the National Science Foundation (NSF) IGERT Solving Urbanization Challenges by Design (NSF Award Number 0903597) and the NSF SRN Award Integrated Urban Infrastructure Solutions for Environmentally Sustainable, Healthy and Livable Cities (NSF Award Number 1444745).

History

School

  • Architecture, Building and Civil Engineering

Published in

Applied Energy

Volume

187

Pages

255 - 271

Citation

HOWARD, B., WAITE, M. and MODI, V., 2017. Current and near-term GHG emissions factors from electricity production for New York State and New York City. Applied Energy, 187, pp. 255-271.

Publisher

© Elsevier

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Acceptance date

14/11/2016

Publication date

2017

Notes

This paper was accepted for publication in the journal Applied Energy and the definitive published version is available at https://doi.org/10.1016/j.apenergy.2016.11.061.

ISSN

0306-2619

Language

en

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