Dataset of "Integrated workflow for optimizing urban energy communities: A case study in Karviná, Czechia"

This study presents a comprehensive, urban-scale workflow designed to facilitate the technical and economic planning of Energy Communities (ECs), with an emphasis on deploying photovoltaic (PV) systems and energy storage solutions within the built environment. The proposed workflow evaluates performance based on various Key Performance Indicators (KPIs) that address the complexity of ECs operations. These include metrics for self-sufficiency, self-consumption, peak grid power capacity, positive energy district (PED) targets, and the impact of electric vehicles (EVs) on the local energy ecosystem. The workflow is built upon three main pillars: (1) 3D Modelling of the Built Environment, which maps the urban landscape and serves as the basis for renewable energy planning; (2) Solar Potential Analysis, to quantify the solar resources available across different building typologies, enabling efficient PV system placement; and (3) Techno-Economic Assessment, which evaluates the operational performance and financial feasibility of the designed EC using selected KPIs. These analyses incorporate dynamic interactions between storage systems, RES, and EVs under various smart energy management strategies, with a focus on maximizing both environmental and economic benefits. In addition, this methodology considers innovative operational strategies, particularly the Vehicle-to-Grid (V2G) services at public charging infrastructures in response to electricity price signals.