Concepedia

TLDR

Energy Lab 2.0 investigates the interplay of various energy forms across value chains, with a key focus on a smart energies system simulation and control center. The study seeks novel concepts to stabilize volatile renewable energy supply using storage systems and emerging ICT tools and algorithms. The system comprises a power‑hardware‑in‑the‑loop experimental field, an energy grid simulation and analysis laboratory, and a control‑monitoring‑visualization center, all built on big‑data technologies, advanced control methods, and secure software, exemplified by a pipeline that generates power‑flow simulation models from OpenStreetMap data, statistical databases, and geodata. The authors present and discuss a data‑processing pipeline that generates power‑flow simulation models from raw OpenStreetMap data, statistical databases, and geodata.

Abstract

Abstract In Energy Lab 2.0, the interplay of different forms of energy on different value chains is investigated. Novel concepts to stabilize the volatile energy supply of renewables by the use of storage systems and mainly by applying to‐be‐developed tools and algorithms of the information and communication technology sector are sought. Hence, a key element of Energy Lab 2.0 is the smart energies system simulation and control center. This consists of three parts: a power‐hardware‐in‐the‐loop experimental field, an energy grid simulation and analysis laboratory, and a control, monitoring, and visualization center. For these three labs, big data technologies, advanced control methods, and reliable, safe, and secure software structures are of equal importance. As an example, a data processing pipeline to create power flow simulation models from raw Open Street Map data, statistical databases, and geodata is presented and discussed.

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