Assessment of mono and multi-objective optimization to design a hydrogen supply chain

Abstract

OATAO is an open access repository that collects the work of some Toulouse researchers and makes it freely available over the web where possible. This is an author's version published in : http://oatao.univ-toulouse.fr/9722Official URL : https://dx.Hydrogen supply chain MILP 3 -Constraint Lexicographic optimization M-TOPSIS a b s t r a c t 3 This work considers the potential future use of hydrogen in fuel cell electrical vehicles to face problems such as global warming, air pollution, energy security and competitiveness.The lack of current infrastructure has been identified as one of the main barriers to develop the hydrogen economy. This work is focused on the design of a hydrogen supply chain through mixed integer linear programming used to find the best solutions for a multiobjective optimization problem in which three objectives are involved, i.e., cost, global warming potential and safety risk. This problem is solved by implementing an -constraint method. The solution consists of a Pareto front, corresponding to different design strategies in the associated variable space. Multiple choice decision making is then recommended to find the best solution through an M-TOPSIS analysis. The model is applied to the Great Britain case study previously treated in the dedicated literature. Mono and multicriteria optimizations exhibit some differences concerning the degree of centralization of the network and the selection of the production technology type. (C. Azzaro-Pantel).Please cite this article in press as: De-Leó n Almaraz S, et al., Assessment of mono and multi-objective optimization to design a hydrogen supply chain, International Journal of Hydrogen Energy (2013), http://dx.

Addition of hydrogen refueling for fuel cell bus fleet to existing natural gas stations: A case study in Wuhan, China

“…The total daily cost (TDC) of the entire hydrogen supply chain includes “… the facility capital cost (FCC), the transportation capital cost (TCC), the capital charge factor (CCF, in years), the facility operating cost (FOC, $ per day), and the transportation operating cost (TOC, $ per day).” The network operating period (days per year) related to CCF can be set as α . So the TDC of the entire hydrogen supply chain can be calculated as follows: …”

Deployment of a hydrogen supply chain by multi-objective/multi-period optimisation at regional and national scales

“…Baseline results reveal that the positive impacts on hydrogen application sectors (FCEV, HFC and refuelling stations) are greater than hydrogen generation sectors (biohydrogen, steam reforming and electrolysis). A tri-objective optimisation model was developed by De-León Almaraz et al (Nov. 2013), in this work, the total daily cost, environmental impact and relative safety risk of the HSC are simultaneously minimised and this model was extended to a real case study for the Midi-Pyrénées region in France treating a multi-period problem (De-Leon, 2014).…”

“…It was first inspired from the model of Almansoori and Shah (Almansoori and Shah, June 2006), extended from a mono-objective to a multi-objective optimisation approach in (De-León Almaraz et al, Nov. 2013) where constraints related to environmental impact and safety risk (as carried out in Kim and Moon, Nov. 2008;Kim et al, June 2011) were introduced, and the existence of antagonist criteria resulted in different configurations for the HSC, the model remained as mixed integer linear programming (MILP). More recently in De-Leon (2014), a multi-period optimisation approach was carried out with the objective of minimising the criteria on the entire time horizon t. Another specific feature for this case is the integration of renewable energy constraints e.…”

“…For reasons of brevity, not all the equations are presented here but mass balance, production, transportation and storage constraints can be found in De-León Almaraz et al (Nov. 2013) where different constraints features (i.e. equality or inequality, bounds) are easily appreciated.…”

Design of Experiments for Sensitivity Analysis of a Hydrogen Supply Chain Design Model

“…Other alternatives to deal with the financial metrics are the net present value (Hugo et al 2005), investment cost (Ingason et al 2008;Kamarudin et al 2009), total discounted cost Sabio et al 2010); more sophisticated options to evaluate the economic performance of the HSC can be found in (Guillén et al 2007). The TDC function has also been considered in our previous works (De-León Almaraz et al 2013, 2014 since it has the advantage of accounting all the costs incurred in the supply chain excepting the particular interest of one of the stakeholders involved in the value chain. It has been used as one of the objective functions in a multi-objective optimization framework with environmental impact and safety risk as additional criteria to be optimized in mono-and multi-period models and solved using the ε-constraint method at both regional and national scales so that the operability and usefulness of the different scales at a strategic level can be analyzed.…”