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Energy policy considerations in the design of an alternative-fuel refueling infrastructure to reduce GHG emissions on a transportation network

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  • Ventura, Jose A.
  • Kweon, Sang Jin
  • Hwang, Seong Wook
  • Tormay, Matthew
  • Li, Chenxi

Abstract

This paper presents a bi-criteria binary linear programming model for locating alternative-fuel refueling stations on a directed transportation network with two conflicting objectives of maximizing the total vehicle-miles traveled (VMT) per year covered by the stations and minimizing the capital cost for constructing the refueling infrastructure. The proposed model is validated with an application to the Pennsylvania (PA) Turnpike System regarding the location of liquefied natural gas (LNG) refueling stations on existing service plazas. A regression model is developed to accurately estimate construction costs for LNG refueling stations on the turnpike. To solve the bi-objective model, the second objective (capital cost) is treated as an infrastructure budget constraint and the model is run considering a range of infrastructure budget values. Given that alternative fuels and fuel economy legislation dates back to the Clean Air Act Amendment of 1970, which created initiatives to reduce mobile sources of pollutants, further analysis is performed on the case study to estimate the potential reduction of pollutants on the PA Turnpike as a function of the LNG infrastructure cost.

Suggested Citation

  • Ventura, Jose A. & Kweon, Sang Jin & Hwang, Seong Wook & Tormay, Matthew & Li, Chenxi, 2017. "Energy policy considerations in the design of an alternative-fuel refueling infrastructure to reduce GHG emissions on a transportation network," Energy Policy, Elsevier, vol. 111(C), pages 427-439.
    • Handle: RePEc:eee:enepol:v:111:y:2017:i:c:p:427-439
    DOI: 10.1016/j.enpol.2017.09.035
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    References listed on IDEAS

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    1. Capar, Ismail & Kuby, Michael & Leon, V. Jorge & Tsai, Yu-Jiun, 2013. "An arc cover–path-cover formulation and strategic analysis of alternative-fuel station locations," European Journal of Operational Research, Elsevier, vol. 227(1), pages 142-151.
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    5. Sofia, Daniele & Gioiella, Filomena & Lotrecchiano, Nicoletta & Giuliano, Aristide, 2020. "Cost-benefit analysis to support decarbonization scenario for 2030: A case study in Italy," Energy Policy, Elsevier, vol. 137(C).
    6. Giorgio Besagni & Marco Borgarello, 2020. "The socio-demographic dimensions of the private transportation emissions," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 0(1), pages 13-24.

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