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New Aspects to Greenhouse Gas Mitigation Policies for Low Carbon Cities

Author

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  • George Dalianis

    (School of Science and Engineering, Hellenic Open University, Riga Feraiou 167, 26222 Patra, Greece)

  • Evanthia Nanaki

    (Centre for Research and Technology Hellas, Institute for Research & Technology of Thessaly, Technology Park of Thessaly, 1st Industrial Area, 38500 Volos, Greece)

  • George Xydis

    (School of Science and Engineering, Hellenic Open University, Riga Feraiou 167, 26222 Patra, Greece
    Lab of Soft Energy Applications & Environmental Protection, Piraeus University of Applied Sciences, P.O. Box 41046, 12201 Athens, Greece)

  • Efthimios Zervas

    (School of Science and Technology, Hellenic Open University, Parodos Aristotelous 18, 26335 Patra, Greece)

Abstract

Methane (CH 4 ) is an important greenhouse gas emitted by vehicles. This study provides estimates of emissions of this important and often not well characterized greenhouse gas (GHG) emission related to transportation energy use. It aims to assist urban community planners and policymakers to prioritize and choose implementation strategies for low carbon cities. The paper focuses on emissions of CH 4 from vehicles. Unlike emissions of CO 2 , which are relatively easy to estimate, emissions of CH 4 are a function of many complex aspects of combustion dynamics and depend on the type of emission control systems used. In this context, they cannot be derived easily and instead must be determined through the use of published emission factors for each combination of fuel, end-use technology, combustion conditions, and emission control systems. Emissions of CH 4 play a significant role with regards to the relative CO 2 –equivalent GHG emissions of the use of alternative transportation fuels, in comparison with the use of conventional fuels. By analyzing a database based on literature review this study analyzes all the factors affecting the creation of CH 4 emissions from different vehicle types. Statistical analysis indicated “r” values ranging from 0.10 to 0.85 for all vehicles.

Suggested Citation

  • George Dalianis & Evanthia Nanaki & George Xydis & Efthimios Zervas, 2016. "New Aspects to Greenhouse Gas Mitigation Policies for Low Carbon Cities," Energies, MDPI, vol. 9(3), pages 1-16, February.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:3:p:128-:d:64430
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    References listed on IDEAS

    as
    1. Nanaki, E.A. & Koroneos, C.J. & Xydis, G.A. & Rovas, D., 2014. "Comparative environmental assessment of Athens urban buses—Diesel, CNG and biofuel powered," Transport Policy, Elsevier, vol. 35(C), pages 311-318.
    2. Albino, Vito & Ardito, Lorenzo & Dangelico, Rosa Maria & Messeni Petruzzelli, Antonio, 2014. "Understanding the development trends of low-carbon energy technologies: A patent analysis," Applied Energy, Elsevier, vol. 135(C), pages 836-854.
    3. Takeshita, Takayuki, 2012. "Assessing the co-benefits of CO2 mitigation on air pollutants emissions from road vehicles," Applied Energy, Elsevier, vol. 97(C), pages 225-237.
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    Cited by:

    1. Panagiotis Michalitsakos & Lucian Mihet-Popa & George Xydis, 2017. "A Hybrid RES Distributed Generation System for Autonomous Islands: A DER-CAM and Storage-Based Economic and Optimal Dispatch Analysis," Sustainability, MDPI, vol. 9(11), pages 1-16, November.
    2. Torgrim Log & Wegar Bjerkeli Pedersen, 2019. "A Common Risk Classification Concept for Safety Related Gas Leaks and Fugitive Emissions?," Energies, MDPI, vol. 12(21), pages 1-17, October.
    3. Wen Wang & Heng Wang & Huamin Li & Dongyin Li & Huaibin Li & Zhenhua Li, 2018. "Experimental Enrichment of Low-Concentration Ventilation Air Methane in Free Diffusion Conditions," Energies, MDPI, vol. 11(2), pages 1-11, February.
    4. Bo Lan & You-Rong Li & Xu-Sheng Zhao & Jian-Dong Kang, 2018. "Industrial-Scale Experimental Study on the Thermal Oxidation of Ventilation Air Methane and the Heat Recovery in a Multibed Thermal Flow-Reversal Reactor," Energies, MDPI, vol. 11(6), pages 1-13, June.
    5. Orhan Altuğ Karabiber & George Xydis, 2019. "Electricity Price Forecasting in the Danish Day-Ahead Market Using the TBATS, ANN and ARIMA Methods," Energies, MDPI, vol. 12(5), pages 1-29, March.

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