Project engineers used the open-source software Scilab for modeling the engineering problem and calculating the efficiency of the solar energy system, whereas Excel served as a cost calculator. In Optimus, they flexibly integrated Scilab and Excel into a single, automated optimization workflow.

New powerful multiobjective optimizers enabled the engineers to automatically change input parameters and search the design space for the available optimal designs. As a concluding step, Optimus automatically conducted a robust design assessment and again optimized the design to factor in typical weather patterns.

During this webinar, we demonstrate:

• how you can connect Scilab and Excel with Optimus to drive an automated simulation process
• how to utilize multiobjective particle swarm optimization to obtain an accurate Pareto front of optimized solar system configurations
• how to conduct robust design assessment and factor in typical weather patterns
• how to easily share the results with other engineering teams, to facilitate interaction and speed up development work.