Optimizing Number and Locations of Alternative-Fuel Stations Using a Multi-Criteria Approach

B. Badri-Koohi, R. Tavakkoli-Moghaddam, M. Asghari

Abstract


The transition to alternative fuels is obligatory due to the finite amount of available fossil fuels and their rising prices. However, the transition cannot be done unless enough infrastructure exists. A very important infrastructure is the fueling station. As establishing alternative-fuel stations is expensive, the problem of finding the optimal number and locations of initial alternative-fuel stations emerges and it is investigated in this paper. A mixed-integer linear programming (MILP) formulation is proposed to minimize the costs using net present value (NPV) technique. The proposed formulation considers the criteria of the two most common models in the literature for such a problem, namely P-median model and flow refueling location model (FRLM). A decision support system is developed for the users to be able to control the parameter values and run different scenarios. For case study purposes, the method is used to find the optimal number and locations of the alternative-fuel stations in the city of Chicago. Some data wrangling techniques are used to overcome the inability of the method to solve very large-scale problems.


Keywords


continuous location problem; multi-criteria decision making; alternative-fuel stations; mixed-integer linear programming; optimization; Chicago transportation network

Full Text:

PDF

References


M. Melendez, A. Milbrandt, “Analysis of the hydrogen infrastructure needed to enable commercial introduction of hydrogen-fueled vehicles”, National Hydrogen Association Annual Conference, Washington, DC, USA, March 29 - April 1, 2005

B. Badri-Koohi, H. Shakouri Ganjavi, S. H. Nourbakhsh, “Using urine as a source of energy: Feasibility analysis”, 6th International Green Energy Conference, Eskisehir, Turkey, June 5-11, 2011

D. Sperling, R. Kitamura, “Refueling and new fuels: an exploratory analysis”, Transportation Research Part A: General, Vol. 20, pp. 15-23, 1986

I. Capar, M. Kuby, V. J. Leon, Y.-J. Tsai, “An arc cover--path-cover formulation and strategic analysis of alternative-fuel station locations”, European Journal of Operational Research, Vol. 227, pp. 142-151, 2013

California Environmental Protection Agency, California Hydrogen Blueprint Plan, 2005

N. Huleatt-James, Hydrogen Infrastructure Survey: 2008, 2008

M. W. Melaina, “Initiating hydrogen infrastructures: preliminary analysis of a sufficient number of initial hydrogen stations in the US”, International Journal of Hydrogen Energy, Vol. 28, No. 7, pp. 743-755, 2003

M. Melaina, J. Bremson, “Refueling availability for alternative fuel vehicle markets: sufficient urban station coverage”, Energy Policy, Vol. 36, No. 8, pp. 3233-3241, 2008

Z. Lin, J. Ogden, Y. Fan, C. W. Chen, “The fuel-travel-back approach to hydrogen station siting”, International Journal of Hydrogen Energy, Vol. 33, No. 12, pp. 3096-3101, 2008

M. Melendez, Transitioning to a Hydrogen Future: Learning from the Alternative Fuels Experience, National Renewable Energy Laboratory, 2006

C. Upchurch, M. Kuby, “Comparing the p-median and flow-refueling models for locating alternative-fuel stations”, Journal of Transport Geography, Vol. 18, No. 6, pp. 750-758, 2010

O. Berman, “Deterministic flow-demand location problems”, Journal of the Operational Research Society, Vol. 48, No. 1, pp. 75-81, 1997

B. Badri-Koohi, R. Tavakkoli-Moghaddam, A. Mohamadi, “A Scheduling Problem with a Competitive Situation in Supply Chains”, 4th International Conference of Iranian Operations Research Society, Rasht, Guilan, Iran, May 18-19, 2011

J. Current, S. Ratick, C. ReVelle, “Dynamic facility location when the total number of facilities is uncertain: A decision analysis approach”, European Journal of Operational Research, Vol. 110, No. 3, pp. 597-609, 1998

A. Mohamadi, R. Tavakkoli-Moghaddam, B. Badri-Koohi, “No-Wait Open Shop Scheduling Problem with Sequence-Dependent Setup Times”, 4th International Conference of Iranian Operations Research Society, Rasht, Guilan, Iran, May 18-19, 2011

M. J. Hodgson, K. E. Rosing, “A network location-allocation model trading off flow capturing andp-median objectives”, Annals of Operations Research, Vol. 40, No. 1, pp. 247-260, 1992

M. S. Daskin, Network and Discrete Location: Models, Algorithms, and Applications, John Wiley & Sons, 2011

M. Asghari, H. Shakouri G., “Carbon Capture, Utilization, and Storage: An Optimization Model”, International Journal of Scientific & Engineering Research, Vol. 5, No. 6, pp. 808-812, 2014

S. Lim, M. Kuby, “Heuristic algorithms for siting alternative-fuel stations using the flow-refueling location model”, European Journal of Operational Research, Vol. 204, No. 1, pp. 51-61, 2010

S. L. Hakimi, “Optimum locations of switching centers and the absolute centers and medians of a graph”, Operations research, Vol. 12, No. 3, pp. 450-459, 1964

C. S. ReVelle, R. W. Swain, “Central facilities location”, Geographical Analysis, Vol. 2, No. 1, pp. 30-42, 1970

M. Nicholas, S. Handy, D. Sperling, “Using geographic information systems to evaluate siting and networks of hydrogen stations”, Transportation Research Record: Journal of the Transportation Research Board, Vol. 1880, No. 1, pp. 126-134, 2004

M. Nicholas, J. Ogden, “Detailed analysis of urban station siting for California hydrogen highway network”, Transportation Research Record: Journal of the Transportation Research Board, Vol. 1983, pp. 121-128, 2006

D. L. Greene, P. N. Leiby, B. James, J. Perez, M. Melendez, A. Milbrandt, S. Unnash, D. Rutherford, M. Hooks, Analysis of the Transition to Hydrogen Fuel Cell Vehicles and the Potential Hydrogen Energy Infrastructure Requirements, March 2008, Oak Ridge National Lab, Oak Ridge, USA, 2008

R. Kitamura, D. Sperling, “Refueling behavior of automobile drivers”, Transportation Research Part A: General, Vol. 21, No. 3, pp. 235-245, 1987

M. F. Goodchild, V. T. Noronha, “Location-allocation and impulsive shopping: the case of gasoline retailing”, in: Spatial Analysis and Location-Allocation Models, pp. 121-136, Van Nostrand Reinhold, 1987

R. Bapna, L. S. Thakur, S. K. Nair, “Infrastructure development for conversion to environmentally friendly fuel”, European Journal of Operational Research, Vol. 142, No. 3, pp. 480-496, 2002

M. J. Hodgson, “A flow-capturing location-allocation model”, Geographical Analysis, Vol. 22, No. 3, pp. 270-279, 1990

O. Berman, R. C. Larson, N. Fouska, “Optimal location of discretionary service facilities”, Transportation Science, Vol. 26, No. 3, pp. 201-211, 1992

M. Kuby, S. Lim, “The flow-refueling location problem for alternative-fuel vehicles”, Socio-Economic Planning Sciences, Vol. 39, No. 2, pp. 125-145, 2005

M. Kuby, L. Lines, R. Schultz, Z. Xie, J. G. Kim, S. Lim, “Optimization of hydrogen stations in Florida using the flow-refueling location model”, International Journal of Hydrogen Energy, Vol. 34, No. 15, pp. 6045-6064, 2009

M. J. Kuby, S. Lim, K. Wang, “A model for optimal location of hydrogen refueling stations: a case study of Arizona”, National Hydrogen Association's 15th Annual US Hydrogen Conference, Los Angeles, USA, April 26-30, 2004

C. Upchurch, M. Kuby, S. Lim, “A model for location of capacitated alternative-fuel stations”, Geographical Analysis, Vol. 41, No. 1, pp. 85-106, 2009

M. Kuby, S. Lim, “Location of alternative-fuel stations using the flow-refueling location model and dispersion of candidate sites on arcs”, Networks and Spatial Economics, Vol. 7, No. 2, pp. 129-152, 2007

Y.-W. Wang, C. C. Lin, “Locating road-vehicle refueling stations”, Transportation Research Part E: Logistics and Transportation Review, Vol. 45, No. 5, pp. 821-829, 2009

B. Badri-Koohi, R. Tavakkoli-Moghaddam, “Determining optimal number and locations of alternative-fuel stations with a multi-criteria approach”, 8th International Industrial Engineering Conference, Tehran, Iran, July 2, 2012

T. H. Tran, G. Nagy, T. B. T. Nguyen, N. A. Wassan, “An efficient heuristic algorithm for the alternative-fuel station location problem”, European Journal of Operational Research, Vol. 269, No. 1, pp. 159-170, 2018

T. H. Tran, T. B. T. Nguyen, “Alternative-fuel station network design under impact of station failures”, in: Annals of Operations Research, pp. 1-36, Springer, 2018

B. Scheiper, M. Schiffer, G. Walther, “The flow refueling location problem with load flow control”, Omega, Vol. 83, pp. 50-69, 2018

R. M. Post, P. Buijs, M. A. J. Broek, J. A. L. Alvarez, N. B. Szirbik, I. F. A. Vis, “A solution approach for deriving alternative fuel station infrastructure requirements”, Flexible Services and Manufacturing Journal, Vol. 30, No. 3, pp. 592-607, 2018

S. A. MirHassani, R. Ebrazi, “A flexible reformulation of the refueling station location problem”, Transportation Science, Vol. 47, No. 4, pp. 617-628, 2012

M. Miralinaghi, Y. Lou, B. B. Keskin, A. Zarrinmehr, R. Shabanpour, “Refueling station location problem with traffic deviation considering route choice and demand uncertainty”, International Journal of Hydrogen Energy, Vol. 42, No. 5, pp. 3335-3351, 2017

J. Ko, T. H. T. Gim, R. Guensler, “Locating refuelling stations for alternative fuel vehicles: a review on models and applications”, Transport Reviews, Vol. 37, No. 5, pp. 551-570, 2017

J. G. Kim, M. Kuby, “The deviation-flow refueling location model for optimizing a network of refueling stations”, International Journal of Hydrogen Energy, Vol. 37, No. 6, pp. 5406-5420, 2012

Chicago Data Portal, Boundaries-Census Blocks–2010, available at: https://data.cityofchicago.org/Facilities-Geographic-Boundaries/Boundaries-Census-Blocks-2010/mfzt-js4n

Data.gov, Average Daily Traffic Counts, available at: https://catalog.data.gov/dataset/average-daily-traffic-counts-3968f




eISSN: 1792-8036     pISSN: 2241-4487