Opti-CE is an open source package for simulation, optimization, and design of hybrid power systems for off-grid and on-grid applications. Opti-CE models and simulates clean energy conversion and storage technologies integrated in microgrids or as distributed generation systems in larger grids. The model is written in Matlab® language and uses genetic algorithm to find the best energy conversion, storage, and back-up systems capacities combinations to minimize the life cycle cost and maximize renewable energies reliability. It covers the whole chain of energy systems including mainly 6 areas, i.e., renewable energy, energy conversion technologies, mitigation technologies, intelligent energy systems, energy storage, and sustainability.

Originally, Opti-CE model included solar photovoltaic (PV), wind turbine, diesel generator, and battery bank for off-grid applications, in particular water pumping for irrigation. The model has been continuously developed and new power sources, power-to-heat conversion technologies, and storage systems have been developed and integrated.

Opti-CE is an essential tools for engineering students, researchers, consultants, and decision makers working in the fields of renewable energies, hybrid power systems, distributed energy conversion, and mini/microgrids.


Photo by T L on Unsplash, Photo by Tyler Casey on Unsplash, Photo by Jeremy Zero on Unsplash, Photo by Kumpan Electric on Unsplash, Photo by Fré Sonneveld on Unsplash

The model has been already implemented for research and consultant activities concerning:

  • Optimization of PV and hybrid water pumping systems for irrigation in China;
  • Optimization of PV-wind hybrid power systems for shrimp farm in Thailand;
  • Wind driven heat pump for detached houses in Sweden;
  • Optimization of residential district in Gothenburg;
  • Optimization of PV and wind systems equipped with different storage technologies to increase photovoltaic self-sufficiency in residential building of Sweden;
  • Optimization of hybrid PV-wind-battery system for a farm in Sweden;
  • Optimization of solar home systems in Namibia and Colombia;
  • Optimization of 100% renewable waste water systems in Italy.
  • Simulation of distributed PV systems in China to study the grid parity.

The GIS version of Opti-CE has been used to study the water-food-energy nexus of irrigation during drought conditions  in Nebraska and in Sweden, and for for PV applications in Sweden.


We are working now on the agrivoltaic version of Opti-CE using as experimental facility the first agrivoltaic system in Sweden.

Dr. Pietro Elia Campana presenting OptiCE at the International Conference on Applied Energy in Beijing 2016.

The OptiCE project was sponsored by Applied Energy Journal

One of the demonstration projects for future energy solutions at Mälardalen University used to validate Opti-CE.

Third Prize Award for OptiCE at the 2016 China Innovation and Entrepreneurship Competition for Overseas Talents.