(341c) Resilience Approach at the Water-Energy-Food Nexus Optimization

This work presents a multi-objective optimization model for the design of a proper use of the water-energy-food nexus that incorporates a resilient approach. The resilience is a new concept that has had relevance recently. In optimization systems, it has been used to improve the performance of processes and to analyze possible failures that may occur and affect the performance of the process. In this way, the process can be underestimated to face possible failures or natural disasters that may arise [1]. The addressed problem consists in determining a resilient system for the optimal use and distribution for water, energy and food in a macroscopic level, where the agricultural, domestic, energy, industrial, and livestock sectors are considered. The objectives for the mathematical model are the minimization of the total annual cost and the minimization of the emissions generated by the system. For the resilient approach, a methodology proposed for energy systems is implemented [2]. To demonstrate the applicability of the mathematical model, a case study from the northwest part of Mexico is proposed. Specifically, the Hydrological Region 10 was considered, which covers approximately 85% of the state of Sinaloa. The model was coded and solved in the software GAMS [3] using data from a case study of the most important agriculture area in Mexico, and it includes 24,413 equations, 29,815 continuous variables, and 1,331 binary variables. The results show that it is possible to considerer resilience in this type of work to prevent possible failures in the system and in this way the functional services of the same is not affected.

References

[1] Ravadanegh, SN, Karimi, M, Tabatabaei, NM. (2019). Modeling and analysis of resilience for distribution networks. In Power Systems Resilience (pp. 3-43). Springer, Cham.

[2] Moslehi, S, Reddy, TA. (2018). Sustainability of integrated energy systems: A performance-based resilience assessment methodology. Applied Energy, 228, 487-498.

[3] Brooke A; Kendrick D; Meeraus A; Raman R. (2020). GAMS, A user’s guide. GAMS Development Corporation, Washington DC, USA.