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High-resolution spatial distribution of greenhouse gas emissions in the residential sector

Author

Listed:
  • Olha Danylo

    (International Institute for Applied Systems Analysis
    Lviv Polytechnic National University)

  • Rostyslav Bun

    (Lviv Polytechnic National University
    WSB University)

  • Linda See

    (International Institute for Applied Systems Analysis)

  • Nadiia Charkovska

    (International Institute for Applied Systems Analysis)

Abstract

The development of high-resolution greenhouse gas (GHG) inventories is an important step towards emission reduction in different sectors. However, most of the spatially explicit approaches that have been developed to date produce outputs at a coarse resolution or do not disaggregate the data by sector. In this study, we present a methodology for assessing GHG emissions from the residential sector by settlements at a fine spatial resolution. In many countries, statistical data about fossil fuel consumption is only available at the regional or country levels. For this reason, we assess energy demand for cooking and water and space heating for each settlement, which we use as a proxy to disaggregate regional fossil fuel consumption data. As energy demand for space heating depends heavily on climatic conditions, we use the heating degree day method to account for this phenomenon. We also take the availability of energy sources and differences in consumption patterns between urban and rural areas into account. Based on the disaggregated data, we assess GHG emissions at the settlement level using country and regional specific coefficients for Poland and Ukraine, two neighboring countries with different energy usage patterns. In addition, we estimate uncertainties in the results using a Monte Carlo method, which takes uncertainties in the statistical data, calorific values, and emission factors into account. We use detailed data on natural gas consumption in Poland and biomass consumption for several regions in Ukraine to validate our approach. We also compare our results to data from the EDGAR (Emissions Database for Global Atmospheric Research), which shows high agreement in places but also demonstrates the advantage of a higher resolution GHG inventory. Overall, the results show that the approach developed here is universal and can be applied to other countries using their statistical information.

Suggested Citation

  • Olha Danylo & Rostyslav Bun & Linda See & Nadiia Charkovska, 2019. "High-resolution spatial distribution of greenhouse gas emissions in the residential sector," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 24(6), pages 941-967, August.
    • Handle: RePEc:spr:masfgc:v:24:y:2019:i:6:d:10.1007_s11027-019-9846-z
    DOI: 10.1007/s11027-019-9846-z
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    References listed on IDEAS

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    1. Nejat, Payam & Jomehzadeh, Fatemeh & Taheri, Mohammad Mahdi & Gohari, Mohammad & Abd. Majid, Muhd Zaimi, 2015. "A global review of energy consumption, CO2 emissions and policy in the residential sector (with an overview of the top ten CO2 emitting countries)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 843-862.
    2. Lee, Sungwon & Lee, Bumsoo, 2014. "The influence of urban form on GHG emissions in the U.S. household sector," Energy Policy, Elsevier, vol. 68(C), pages 534-549.
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    Cited by:

    1. Arkadiusz Piwowar, 2020. "Agricultural Biogas—An Important Element in the Circular and Low-Carbon Development in Poland," Energies, MDPI, vol. 13(7), pages 1-12, April.
    2. Tomohiro Oda & Rostyslav Bun & Vitaliy Kinakh & Petro Topylko & Mariia Halushchak & Gregg Marland & Thomas Lauvaux & Matthias Jonas & Shamil Maksyutov & Zbigniew Nahorski & Myroslava Lesiv & Olha Dany, 2019. "Errors and uncertainties in a gridded carbon dioxide emissions inventory," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 24(6), pages 1007-1050, August.
    3. Matthias Jonas & Rostyslav Bun & Zbigniew Nahorski & Gregg Marland & Mykola Gusti & Olha Danylo, 2019. "Quantifying greenhouse gas emissions," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 24(6), pages 839-852, August.

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