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

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.

Data from a dynamic simulation in a free-floating and continuous regime of a solar greenhouse modelled in TRNSYS 17 considering simultaneously different thermal phenomena.

This dataset supports the research article "Complete greenhouse dynamic simulation tool to assess the crop thermal well-being and energy needs" [1]. In the agricultural sector, the use of energy can be very intensive [2] and the simulation of solar greenhouses is a very complex work [3]. This dataset provides the results of thermal modeling and dynamic simulation of a solar greenhouse considering simultaneously several thermal phenomena.

Technical data of a grid-connected photovoltaic/wind hybrid system with and without storage battery for residential buildings located in a warm area.

Electric production data of a grid-connected hybrid system are presented. The system consists of a photovoltaic generator, a wind micro-generator in the presence (HPWBS) or absence (HPWS) of an electric storage system. In such a system, the power generated by RES (renewable energy sources) is sent directly to balance the load.