posted on 2017-11-08, 14:47authored byBianca 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.
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
2016-11-14
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.