A Decision Support System for the Planning of Hybrid Renewable Energy Technologies

Abstract

Abstract Implementation of renewable energy resources (RES) with the use of knowledge-based approach requires systems which enable to combine data from different databases in order to multidimensional character of analysed factors. Therefore, this study provides the decision support system for the planning of hybrid renewable energy technologies designed for regional authorities. The system in this research integrates two RES: solar and wind. Moreover, it combines energy potential data with administrative division and data on land cover. Presented functionality shows the ability of single-element filtering as well as multi-element filtering which gives the opportunity visual data discovery. The novel decision support system designed in this research can constitute an effective instrument, which can help regional decision-makers to locate single-source as well as hybrid RES installations to meet the requirements of renewable energy production. The systems were designed for the case of Lubuskie Voivodeship (Poland). However, besides the fact of customized system for one region, the use of universal databases allows to prepare similar tool for any other region in European Union.