[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i19p6905-d920608.html
   My bibliography  Save this article

Electric Mobility Emission Reduction Policies: A Multi-Objective Optimization Assessment Approach

Author

Listed:
  • Anastasia Soukhov

    (School of Earth, Environment and Society, McMaster University, Hamilton, ON L8S 4L8, Canada)

  • Ahmed Foda

    (Department of Civil Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada
    Department of Mathematics and Engineering Physics, Mansoura University, Mansoura 35516, Egypt)

  • Moataz Mohamed

    (Department of Civil Engineering, McMaster University, Hamilton, ON L8S 4L8, Canada)

Abstract
The passenger transportation sector is notoriously sticky to decarbonize because it is interlinked with urban form, individual choice, and economic growth. As the urgency to respond to climate change increases and the transport sector disproportionally increases its contributions to global GHG emissions, there is a need for a more meaningful and transparent application of tools to cost GHG emission reduction. This study presents a multi-objective integer optimization (MIO) model to support the costing and GHG reduction estimation of electric mobility road passenger transportation policies. The model considers both cost and GHG emission minimization under resource constraints and background changes in policy interventions within interval ranges for the province of Ontario’s (Canada) in year 2030. All Pareto optimal solutions are included but results that indicate the optimal policy allocation for two discrete targets are discussed in detail; one scenario where $3 billion spending over ten years is the target and another scenario where the target is 40% GHG reduction in year 2030 (relative to 2005 levels). The MIO approach offers an out-of-the-box solution to support the GHG-reducing decision-making process at all levels of government by implementing optimal policy combinations to achieve GHG emission reductions under a target GHG emission reduction target and/or budget.

Suggested Citation

  • Anastasia Soukhov & Ahmed Foda & Moataz Mohamed, 2022. "Electric Mobility Emission Reduction Policies: A Multi-Objective Optimization Assessment Approach," Energies, MDPI, vol. 15(19), pages 1-21, September.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:19:p:6905-:d:920608
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/19/6905/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/19/6905/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Katarzyna Turoń, 2021. "Social barriers and transportation social exclusion issues in creating sustainable car-sharing systems," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 9(1), pages 10-22, September.
    2. Martinsen, Dag & Krey, Volker, 2008. "Compromises in energy policy--Using fuzzy optimization in an energy systems model," Energy Policy, Elsevier, vol. 36(8), pages 2973-2984, August.
    3. Alexandre Milovanoff & I. Daniel Posen & Heather L. MacLean, 2020. "Electrification of light-duty vehicle fleet alone will not meet mitigation targets," Nature Climate Change, Nature, vol. 10(12), pages 1102-1107, December.
    4. Li, Y.P. & Huang, G.H. & Chen, X., 2011. "An interval-valued minimax-regret analysis approach for the identification of optimal greenhouse-gas abatement strategies under uncertainty," Energy Policy, Elsevier, vol. 39(7), pages 4313-4324, July.
    5. Hyndman, Rob J. & Khandakar, Yeasmin, 2008. "Automatic Time Series Forecasting: The forecast Package for R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i03).
    6. Mustapa, Siti Indati & Bekhet, Hussain Ali, 2016. "Analysis of CO2 emissions reduction in the Malaysian transportation sector: An optimisation approach," Energy Policy, Elsevier, vol. 89(C), pages 171-183.
    7. Grossman, G.M & Krueger, A.B., 1991. "Environmental Impacts of a North American Free Trade Agreement," Papers 158, Princeton, Woodrow Wilson School - Public and International Affairs.
    8. Rahman, Mohammad Mafizur & Vu, Xuan-Binh, 2020. "The nexus between renewable energy, economic growth, trade, urbanisation and environmental quality: A comparative study for Australia and Canada," Renewable Energy, Elsevier, vol. 155(C), pages 617-627.
    9. Kang, Jidong & Ng, Tsan Sheng & Su, Bin & Milovanoff, Alexandre, 2021. "Electrifying light-duty passenger transport for CO2 emissions reduction: A stochastic-robust input–output linear programming model," Energy Economics, Elsevier, vol. 104(C).
    10. Nasreen, Samia & Mbarek, Mounir Ben & Atiq-ur-Rehman, Muhammad, 2020. "Long-run causal relationship between economic growth, transport energy consumption and environmental quality in Asian countries: Evidence from heterogeneous panel methods," Energy, Elsevier, vol. 192(C).
    11. Cole, Rachel & Burke, Matthew & Leslie, Eva & Donald, Maria & Owen, Neville, 2010. "Perceptions of representatives of public, private, and community sector institutions of the barriers and enablers for physically active transport," Transport Policy, Elsevier, vol. 17(6), pages 496-504, November.
    12. Karan, Ebrahim & Asadi, Somayeh & Ntaimo, Lewis, 2016. "A stochastic optimization approach to reduce greenhouse gas emissions from buildings and transportation," Energy, Elsevier, vol. 106(C), pages 367-377.
    13. 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.
    14. Rommelfanger, Heinrich, 1996. "Fuzzy linear programming and applications," European Journal of Operational Research, Elsevier, vol. 92(3), pages 512-527, August.
    15. Cheng, Han & Mao, Chao & Madanat, Samer & Horvath, Arpad, 2018. "Minimizing the total costs of urban transit systems can reduce greenhouse gas emissions: The case of San Francisco," Transport Policy, Elsevier, vol. 66(C), pages 40-48.
    16. Zhu, Qianru & Leibowicz, Benjamin D. & Busby, Joshua W. & Shidore, Sarang & Adelman, David E. & Olmstead, Sheila M., 2022. "Enhancing policy realism in energy system optimization models: Politically feasible decarbonization pathways for the United States," Energy Policy, Elsevier, vol. 161(C).
    17. Sokołowski, Jakub & Bouzarovski, Stefan, 2022. "Decarbonisation of the Polish residential sector between the 1990s and 2021: A case study of policy failures," Energy Policy, Elsevier, vol. 163(C).
    18. Alves, Maria Joao & Climaco, Joao, 2007. "A review of interactive methods for multiobjective integer and mixed-integer programming," European Journal of Operational Research, Elsevier, vol. 180(1), pages 99-115, July.
    19. Jaccard, Mark & Loulou, Richard & Kanudia, Amit & Nyboer, John & Bailie, Alison & Labriet, Maryse, 2003. "Methodological contrasts in costing greenhouse gas abatement policies: Optimization and simulation modeling of micro-economic effects in Canada," European Journal of Operational Research, Elsevier, vol. 145(1), pages 148-164, February.
    20. Neil Quarles & Kara M. Kockelman & Moataz Mohamed, 2020. "Costs and Benefits of Electrifying and Automating Bus Transit Fleets," Sustainability, MDPI, vol. 12(10), pages 1-15, May.
    21. Chen, J.P. & Huang, G. & Baetz, B.W. & Lin, Q.G. & Dong, C. & Cai, Y.P., 2018. "Integrated inexact energy systems planning under climate change: A case study of Yukon Territory, Canada," Applied Energy, Elsevier, vol. 229(C), pages 493-504.
    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. Foda, Ahmed & Abdelaty, Hatem & Mohamed, Moataz & El-Saadany, Ehab, 2023. "A generic cost-utility-emission optimization for electric bus transit infrastructure planning and charging scheduling," Energy, Elsevier, vol. 277(C).

    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. 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.
    2. Bhowmik, Chiranjib & Bhowmik, Sumit & Ray, Amitava & Pandey, Krishna Murari, 2017. "Optimal green energy planning for sustainable development: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 796-813.
    3. Shahbaz, Muhammad & Haouas, Ilham & Hoang, Thi Hong Van, 2019. "Economic growth and environmental degradation in Vietnam: Is the environmental Kuznets curve a complete picture?," Emerging Markets Review, Elsevier, vol. 38(C), pages 197-218.
    4. Irfan Khan & Fujun Hou, 2021. "The Impact of Socio-economic and Environmental Sustainability on CO2 Emissions: A Novel Framework for Thirty IEA Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(3), pages 1045-1076, June.
    5. Hussain, Moon Moon & Pal, Shreya & Villanthenkodath, Muhammed Ashiq, 2023. "Towards sustainable development: The impact of transport infrastructure expenditure on the ecological footprint in India," Innovation and Green Development, Elsevier, vol. 2(2).
    6. Lopion, Peter & Markewitz, Peter & Robinius, Martin & Stolten, Detlef, 2018. "A review of current challenges and trends in energy systems modeling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 156-166.
    7. José Carlos Araújo Amarante & Cássio da Nóbrega Besarria & Helson Gomes de Souza & Otoniel Rodrigues dos Anjos Junior, 2021. "The relationship between economic growth, renewable and nonrenewable energy use and CO2 emissions: empirical evidences for Brazil," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 11(3), pages 411-431, June.
    8. Lee, Juyong & Cho, Youngsang, 2022. "National-scale electricity peak load forecasting: Traditional, machine learning, or hybrid model?," Energy, Elsevier, vol. 239(PD).
    9. Samir Saidi, 2021. "Freight transport and energy consumption: What impact on carbon dioxide emissions and environmental quality in MENA countries?," Economic Change and Restructuring, Springer, vol. 54(4), pages 1119-1145, November.
    10. Li, Wenqing & Qiao, Yuanbo & Li, Xiao & Wang, Yutao, 2022. "Energy consumption, pollution haven hypothesis, and Environmental Kuznets Curve: Examining the environment–economy link in belt and road initiative countries," Energy, Elsevier, vol. 239(PE).
    11. Shafique, Muhammad & Azam, Anam & Rafiq, Muhammad & Luo, Xiaowei, 2021. "Investigating the nexus among transport, economic growth and environmental degradation: Evidence from panel ARDL approach," Transport Policy, Elsevier, vol. 109(C), pages 61-71.
    12. Orlando Barraza & Miquel Estrada, 2021. "Battery Electric Bus Network: Efficient Design and Cost Comparison of Different Powertrains," Sustainability, MDPI, vol. 13(9), pages 1-28, April.
    13. Tapia, John Frederick D., 2021. "Optimal synthesis of multi-product energy systems under neutrosophic environment," Energy, Elsevier, vol. 229(C).
    14. Alvarado, Rafael & Deng, Qiushi & Tillaguango, Brayan & Méndez, Priscila & Bravo, Diana & Chamba, José & Alvarado-Lopez, María & Ahmad, Munir, 2021. "Do economic development and human capital decrease non-renewable energy consumption? Evidence for OECD countries," Energy, Elsevier, vol. 215(PB).
    15. Emodi, Nnaemeka Vincent & Chaiechi, Taha & Alam Beg, A.B.M. Rabiul, 2019. "Are emission reduction policies effective under climate change conditions? A backcasting and exploratory scenario approach using the LEAP-OSeMOSYS Model," Applied Energy, Elsevier, vol. 236(C), pages 1183-1217.
    16. Muhammad Shafique & Anam Azam & Muhammad Rafiq & Xiaowei Luo, 2020. "Evaluating the Relationship between Freight Transport, Economic Prosperity, Urbanization, and CO 2 Emissions: Evidence from Hong Kong, Singapore, and South Korea," Sustainability, MDPI, vol. 12(24), pages 1-14, December.
    17. Tripathy, Prajukta & Jena, Pabitra Kumar & Mishra, Bikash Ranjan, 2024. "Systematic literature review and bibliometric analysis of energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 200(C).
    18. Nasreen, Samia & Anwar, Sofia & Ozturk, Ilhan, 2017. "Financial stability, energy consumption and environmental quality: Evidence from South Asian economies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 1105-1122.
    19. Gkillas, Konstantinos & Gupta, Rangan & Pierdzioch, Christian, 2020. "Forecasting realized oil-price volatility: The role of financial stress and asymmetric loss," Journal of International Money and Finance, Elsevier, vol. 104(C).
    20. Song, Tao & Zheng, Tingguo & Tong, Lianjun, 2008. "An empirical test of the environmental Kuznets curve in China: A panel cointegration approach," China Economic Review, Elsevier, vol. 19(3), pages 381-392, September.

    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:gam:jeners:v:15:y:2022:i:19:p:6905-:d:920608. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.