IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v187y2017icp255-271.html
   My bibliography  Save this article

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

Author

Listed:
  • Howard, B.
  • Waite, M.
  • Modi, V.

Abstract

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 540kg CO2e/MWh in 2011 for all future scenarios considered. Average GHG emissions factors for New York State could reduce 9–39% from 215kg CO2e/MWh depending on the wind growth rate and price burden on coal power plants.

Suggested Citation

  • Howard, B. & Waite, M. & Modi, V., 2017. "Current and near-term GHG emissions factors from electricity production for New York State and New York City," Applied Energy, Elsevier, vol. 187(C), pages 255-271.
  • Handle: RePEc:eee:appene:v:187:y:2017:i:c:p:255-271
    DOI: 10.1016/j.apenergy.2016.11.061
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261916316464
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2016.11.061?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Gebremedhin, Alemayehu, 2012. "Introducing District Heating in a Norwegian town – Potential for reduced Local and Global Emissions," Applied Energy, Elsevier, vol. 95(C), pages 300-304.
    2. Draxl, Caroline & Clifton, Andrew & Hodge, Bri-Mathias & McCaa, Jim, 2015. "The Wind Integration National Dataset (WIND) Toolkit," Applied Energy, Elsevier, vol. 151(C), pages 355-366.
    3. Fthenakis, Vasilis M. & Kim, Hyung Chul, 2007. "Greenhouse-gas emissions from solar electric- and nuclear power: A life-cycle study," Energy Policy, Elsevier, vol. 35(4), pages 2549-2557, April.
    4. Voorspools, Kris R. & D'haeseleer, William D., 2000. "An evaluation method for calculating the emission responsibility of specific electric applications," Energy Policy, Elsevier, vol. 28(13), pages 967-980, November.
    5. Anthony Papavasiliou & Shmuel S. Oren, 2013. "Multiarea Stochastic Unit Commitment for High Wind Penetration in a Transmission Constrained Network," Operations Research, INFORMS, vol. 61(3), pages 578-592, June.
    6. Ichinohe, Masayuki & Endo, Eiichi, 2006. "Analysis of the vehicle mix in the passenger-car sector in Japan for CO2 emissions reduction by a MARKAL model," Applied Energy, Elsevier, vol. 83(10), pages 1047-1061, October.
    7. Kannan, Ramachandran & Strachan, Neil, 2009. "Modelling the UK residential energy sector under long-term decarbonisation scenarios: Comparison between energy systems and sectoral modelling approaches," Applied Energy, Elsevier, vol. 86(4), pages 416-428, April.
    8. Bettle, R. & Pout, C.H. & Hitchin, E.R., 2006. "Interactions between electricity-saving measures and carbon emissions from power generation in England and Wales," Energy Policy, Elsevier, vol. 34(18), pages 3434-3446, December.
    9. Weisser, Daniel, 2007. "A guide to life-cycle greenhouse gas (GHG) emissions from electric supply technologies," Energy, Elsevier, vol. 32(9), pages 1543-1559.
    10. Carrillo, C. & Obando Montaño, A.F. & Cidrás, J. & Díaz-Dorado, E., 2013. "Review of power curve modelling for wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 572-581.
    11. Sioshansi, Ramteen & Fagiani, Riccardo & Marano, Vincenzo, 2010. "Cost and emissions impacts of plug-in hybrid vehicles on the Ohio power system," Energy Policy, Elsevier, vol. 38(11), pages 6703-6712, November.
    12. Gracceva, Francesco & Zeniewski, Peter, 2014. "A systemic approach to assessing energy security in a low-carbon EU energy system," Applied Energy, Elsevier, vol. 123(C), pages 335-348.
    13. Voorspools, Kris R & D'haeseleer, William D, 2000. "The influence of the instantaneous fuel mix for electricity generation on the corresponding emissions," Energy, Elsevier, vol. 25(11), pages 1119-1138.
    14. PAPAVASILIOU, Anthony & OREN, Schmuel S., 2013. "Multiarea stochastic unit commitment for high wind penetration in a transmission constrained network," LIDAM Reprints CORE 2500, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    15. Gilbraith, Nathaniel & Powers, Susan E., 2013. "Residential demand response reduces air pollutant emissions on peak electricity demand days in New York City," Energy Policy, Elsevier, vol. 59(C), pages 459-469.
    16. Hawkes, A.D., 2010. "Estimating marginal CO2 emissions rates for national electricity systems," Energy Policy, Elsevier, vol. 38(10), pages 5977-5987, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhang, Cheng & Yang, Fan & Ke, Xinyou & Liu, Zhifeng & Yuan, Chris, 2019. "Predictive modeling of energy consumption and greenhouse gas emissions from autonomous electric vehicle operations," Applied Energy, Elsevier, vol. 254(C).
    2. Ingrid Munné-Collado & Fabio Maria Aprà & Pol Olivella-Rosell & Roberto Villafáfila-Robles, 2019. "The Potential Role of Flexibility During Peak Hours on Greenhouse Gas Emissions: A Life Cycle Assessment of Five Targeted National Electricity Grid Mixes," Energies, MDPI, vol. 12(23), pages 1-22, November.
    3. Mine Isik & P. Ozge Kaplan, 2020. "Understanding Technology, Fuel, Market and Policy Drivers for New York State’s Power Sector Transformation," Sustainability, MDPI, vol. 13(1), pages 1-23, December.
    4. Wolfram, Paul & Wiedmann, Thomas, 2017. "Electrifying Australian transport: Hybrid life cycle analysis of a transition to electric light-duty vehicles and renewable electricity," Applied Energy, Elsevier, vol. 206(C), pages 531-540.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kikuchi, Yasunori & Kimura, Seiichiro & Okamoto, Yoshitaka & Koyama, Michihisa, 2014. "A scenario analysis of future energy systems based on an energy flow model represented as functionals of technology options," Applied Energy, Elsevier, vol. 132(C), pages 586-601.
    2. Hawkes, A.D., 2014. "Long-run marginal CO2 emissions factors in national electricity systems," Applied Energy, Elsevier, vol. 125(C), pages 197-205.
    3. Psomopoulos, C.S. & Skoula, I. & Karras, C. & Chatzimpiros, A. & Chionidis, M., 2010. "Electricity savings and CO2 emissions reduction in buildings sector: How important the network losses are in the calculation?," Energy, Elsevier, vol. 35(1), pages 485-490.
    4. Filippo Beltrami & Fulvio Fontini & Monica Giulietti & Luigi Grossi, 2022. "The Zonal and Seasonal CO2 Marginal Emissions Factors for the Italian Power Market," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 83(2), pages 381-411, October.
    5. Pimm, Andrew J. & Palczewski, Jan & Barbour, Edward R. & Cockerill, Tim T., 2021. "Using electricity storage to reduce greenhouse gas emissions," Applied Energy, Elsevier, vol. 282(PA).
    6. Waite, Michael & Modi, Vijay, 2016. "Modeling wind power curtailment with increased capacity in a regional electricity grid supplying a dense urban demand," Applied Energy, Elsevier, vol. 183(C), pages 299-317.
    7. Baumgärtner, Nils & Delorme, Roman & Hennen, Maike & Bardow, André, 2019. "Design of low-carbon utility systems: Exploiting time-dependent grid emissions for climate-friendly demand-side management," Applied Energy, Elsevier, vol. 247(C), pages 755-765.
    8. Hawkes, A.D., 2010. "Estimating marginal CO2 emissions rates for national electricity systems," Energy Policy, Elsevier, vol. 38(10), pages 5977-5987, October.
    9. Rüdisüli, Martin & Romano, Elliot & Eggimann, Sven & Patel, Martin K., 2022. "Decarbonization strategies for Switzerland considering embedded greenhouse gas emissions in electricity imports," Energy Policy, Elsevier, vol. 162(C).
    10. Faezeh Akhavizadegan & Lizhi Wang & James McCalley, 2020. "Scenario Selection for Iterative Stochastic Transmission Expansion Planning," Energies, MDPI, vol. 13(5), pages 1-18, March.
    11. Yong Zeng & Yanpeng Cai & Guohe Huang & Jing Dai, 2011. "A Review on Optimization Modeling of Energy Systems Planning and GHG Emission Mitigation under Uncertainty," Energies, MDPI, vol. 4(10), pages 1-33, October.
    12. Noori, Ehsan & Khazaei, Ehsan & Tavaro, Mehdi & Bardideh, Farhad, 2019. "Economically Operation of Power Utilities Base on MILP Approach," MPRA Paper 95910, University Library of Munich, Germany.
    13. Capuder, Tomislav & Mancarella, Pierluigi, 2014. "Techno-economic and environmental modelling and optimization of flexible distributed multi-generation options," Energy, Elsevier, vol. 71(C), pages 516-533.
    14. Sovacool, Benjamin K., 2008. "Valuing the greenhouse gas emissions from nuclear power: A critical survey," Energy Policy, Elsevier, vol. 36(8), pages 2940-2953, August.
    15. Hain, Martin & Kargus, Tobias & Schermeyer, Hans & Uhrig-Homburg, Marliese & Fichtner, Wolf, 2022. "An electricity price modeling framework for renewable-dominant markets," Working Paper Series in Production and Energy 66, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
    16. Munoz, Francisco D. & Pumarino, Bruno J. & Salas, Ignacio A., 2017. "Aiming low and achieving it: A long-term analysis of a renewable policy in Chile," Energy Economics, Elsevier, vol. 65(C), pages 304-314.
    17. Le Cadre, Hélène & Mezghani, Ilyès & Papavasiliou, Anthony, 2019. "A game-theoretic analysis of transmission-distribution system operator coordination," European Journal of Operational Research, Elsevier, vol. 274(1), pages 317-339.
    18. De Vos, K. & Stevens, N. & Devolder, O. & Papavasiliou, A. & Hebb, B. & Matthys-Donnadieu, J., 2019. "Dynamic dimensioning approach for operating reserves: Proof of concept in Belgium," Energy Policy, Elsevier, vol. 124(C), pages 272-285.
    19. Trine K. Boomsma, 2019. "Comments on: A comparative study of time aggregation techniques in relation to power capacity-expansion modeling," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 27(3), pages 406-409, October.
    20. Majid Al-Gwaiz & Xiuli Chao & Owen Q. Wu, 2017. "Understanding How Generation Flexibility and Renewable Energy Affect Power Market Competition," Manufacturing & Service Operations Management, INFORMS, vol. 19(1), pages 114-131, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:187:y:2017:i:c:p:255-271. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.