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

Authors: Djamel Saba; Fatima Zohra Laallam; Hocine Belmili; Fonbeyin Henry Abanda; Ahmed Bouraiou

Addresses: Dépt. d'Informatique et Technologies de l'Information, Fac. des Nouvelles Technologies de l'Information et de la Communication, University of Ouargla, Ouargla 30 000, Algeria; Unité de Recherche en Energies Renouvelables en Milieu Saharien, URER-MS, Centre de Développement des Energies Renouvelables, CDER, 01000 Adrar, Algeria ' Faculté des nouvelles technologies de l'information et de la communication, Laboratoire de l'INtelligence Artificielle et les Technologies de l'Information, Université Kasdi Merbah Ouargla, Ouargla 30 000, Algeria ' Unité de Développement des Equipements Solaires, UDES/Centre de Développement des Energies Renouvelables, CDER, Bou Ismail 42415, W. Tipaza, Algeria ' Oxford Institute for Sustainable Development, School of the Built Environment, Faculty of Technology, Design and Environment, Oxford Brookes University, Oxford, OX3 0BP, UK ' Unité de Recherche en Energies Renouvelables en Milieu Saharien, URER-MS, Centre de Développement des Energies Renouvelables, CDER, 01000 Adrar, Algeria

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.

Keywords: energy scarcity; hybrid energy system; optimisation techniques; ontology; intelligent generic tool; photovoltaic system; rule-based system; semantic web; wind energy system; storage system.

DOI: 10.1504/IJCAT.2017.084773

International Journal of Computer Applications in Technology, 2017 Vol.55 No.3, pp.232 - 243

Received: 01 Apr 2016
Accepted: 17 Jul 2016
Published online: 26 Jun 2017 *

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