Energy and economic dataset of the worldwide optimal photovoltaic-wind hybrid renewable energy systems

Domenico Mazzeo; Cristina Baglivo; Nicoletta Matera; Pierangelo De Luca; Paolo Maria Congedo; Giuseppe Oliveti

doi:10.1016/j.dib.2020.106476

Energy and economic dataset of the worldwide optimal photovoltaic-wind hybrid renewable energy systems

Data Brief. 2020 Nov 1:33:106476. doi: 10.1016/j.dib.2020.106476. eCollection 2020 Dec.

Authors

Domenico Mazzeo¹, Cristina Baglivo², Nicoletta Matera¹, Pierangelo De Luca¹, Paolo Maria Congedo², Giuseppe Oliveti¹

Affiliations

¹ Department of Mechanical, Energy and Management Engineering (DIMEG), University of Calabria, P. Bucci Cube 46/C, It, 87036 Arcavacata of Rende, CS, Italy.
² Department of Engineering for Innovation, University of Salento, Via per Arnesano, It, 73100 Lecce, Italy.

Abstract

The data describe supplementary materials supporting the research article entitled "Worldwide geographical mapping and optimization of stand-alone and grid-connected hybrid renewable system techno-economic performance across Köppen-Geiger climates" (Mazzeo et al., 2020). Hybrid renewable energy systems are increasingly adopted worldwide as technically and economically effective solutions to achieve energy decarbonization and greenhouse gas reduction targets. This data article includes the results of worldwide techno-economic optimization of stand-alone and grid-connected photovoltaic-wind hybrid renewable energy systems designed to meet the electrical energy needs of an office district. The technical simulations have been performed in TRNSYS 17 (Transient Energy System) environment. A total of 48 different locations around the world have been chosen across Köppen-Geiger climates with different latitudes and homogeneously distributed over the whole globe, considering very different climates. The analyses have been conducted for 343 different system power configurations, considering both stand-alone and grid-connected systems. A total of 16464 dynamic simulations were performed, summarized in yearly energy output from each component and in energy and economic indicators.

Keywords: Cost-optimal; Grid-connected; Hybrid renewable systems; Optimization; PV-wind hybrid system; Stand-alone; TRNSYS; Worldwide mapping.