Energy-water-food nexus planning considering Co-optimized electric vehicle scheduling

This research presents an integrated Mixed Integer Programming (MIP) formulation that enables long term planning of food, energy, and water (FEW) systems while explicitly modeling electric vehicles (EV) as bi-directional, dynamic storage systems. The model simultaneously co-optimizes hourly EV charg...

Popoln opis

Bibliografske podrobnosti

Principais autores:	Arman Koohizadeh Dehkordi, Esmaeil Mahboubi-Moghaddam, Masoumehsadat Seyedyazdi, Mohammad Hassan Khooban
Format:	Artigo
Jezik:	Inglês
Izdano:	Elsevier 2025-12-01
Serija:	Energy Nexus
Teme:	Ood-energy-water nexus Vehicle-to-grid (V2G) Mixed-integer programming (MIP) Multi-objective optimization Agricultural resource planning
Online dostop:	http://www.sciencedirect.com/science/article/pii/S2772427125002281
Oznake:	Označite Brez oznak, prvi označite!