(701a) A Multi-Objective Decision-Making Framework for Renewable Energy Transportation
AIChE Annual Meeting
2024
2024 AIChE Annual Meeting
Sustainable Engineering Forum
Fuel and Energy Decarbonization I
Thursday, October 31, 2024 - 12:30pm to 12:50pm
In this research, we present a framework for modeling and optimizing decisions for the selection of an optimal hydrogen-based energy carrier for transporting renewable energy considering different locations, transportation mediums and often conflicting objectives. The important features of the potential energy carriers of the future are determined and weighted employing a survey addressed to energy executives. The resulting decision-making problem is modelled as a multi-objective optimization problem through Mixed-Integer Linear Programming (MILP), while the weights of different objectives are determined with respect to Analytical Hierarchy Process (AHP) [4]. A case study of transporting renewable energy from different locations with low levelized cost of electricity to a highly industrialized region with insufficient resources is considered to determine the suitable energy carrier and transport mechanism with respect to conflicting objectives.
References
[1] Veziroglu, T N, and Barbir, F. Hydrogen: Its comparison with fossil fuels and its potential as a universal fuel. United States:1993.
[2] International Energy Agency, The Future of Hydrogen, 2019
[3] The National Hydrogen Strategy, BMWi, 2020
[4] Saaty, TL., The analytic hierarchy process (AHP), The Journal of the Operational Research Society 41(11)