Development of an ontology-based generic optimisation tool for the design of hybrid energy systems

Abstract

The reliability and cost of energy systems and diversity of weather are the two main concerns for Hybrid Energy Systems (HES) optimisation in the face of energy scarcity. Many techniques for sizing and optimisation of such systems have been developed. However, these techniques are developed independently of each other and require end-users to know a priori the techniques to use as well as data inputs of each. There is no sharing of data between the various techniques although they can use the same data. The novelty of this study is to develop an ontology-based system that offers the end-user an optimal design solution without having to know in advance the optimisation techniques. To that effect, we present an ontology-based generic tool that includes most used energy sources for optimising HES. The proposed tool has been applied and tested on an isolated wind-photovoltaic hybrid power system with battery storage.