chungachewe/Optimise-Energy-

Python model for optimizing energy costs of a center pivot irrigation system in Zambia. Compares Grid-only vs Solar vs Solar+Battery using rule-based logic and time-of-use pricing. Built with dummy data to reflect Zambia’s shift to cost-reflective tariffs. This Python-based model compares energy costs for powering a center pivot irrigation system under three scenarios: Grid-only Grid + Solar Grid + Solar + Battery It uses rule-based logic to simulate hourly operations, factoring in time-of-use pricing, solar generation, and battery dispatch. The project is built with dummy data but designed for adaptation to real-world use cases—particularly as Zambia transitions to cost-reflective and time-of-use tariffs.