Optimization based planing of dezentralized energy systems and forward looking supervisory control
Development of optimization-based energy planning tools
Mixed-integer linear or linearized optimization methods are combined with load flow analyses to determine the optimal distribution of decentralized technologies (e.g. PV, battery storage, heat pumps, CHP, electric mobility etc.) in the distribution network, energy community or industry.
Design of energy systems
OptEnGrid, an advanced design and optimization software for decentralized energy systems developed by BEST, allows comprehensive technology-neutral analyses to be carried out for any site. The results can be used to derive measures for the test systems analysed. These include concepts for the energy system, the control system and an assessment of the economic and ecological potential.
Integrated supervisory control and energy data monitoring
Predictive control systems based on the IEEE 2030.7 standard are being developed and deployed. Different algorithms are developed for load and production forecasting based on AI. In this context, the research area also focuses on electricity market topics and optimal action strategies for energy providers and market participants. Furthermore, a framework has be established to efficient measure, integrate and visualize energy data.
Testing and optimization of microgrid controllers in our own Microgrid Lab
The algorithms and control units developed can be tested and optimized in our in-house laboratory. The Microgrid Research Lab in Wieselburg combines scientific know-how with implementation and application expertise in product development for new services.
- G2 Micro grid
- H1 Demand Side Management
- H2 Demand forecast
- K2 Artificial Intelligence
Company: BEST Bioenergy and Sustainable Technologies GmbH
Type of Organisation: Research
Brief description of my Organisation
BEST - Bioenergy and Sustainable Technologies GmbH is a K1 Competence Centre in the Austrian COMET programme. BEST closes the gap between academic research and industrial technology development by undertaking industry-driven applied research and development in the fields of bioenergy, the sustainable bio-based economy, and future-proof energy systems. BEST is working on the scientific and technological basis for processes which use biomass and waste to produce heat, electricity, gaseous and liquid energy carriers and sources, and basic materials for the chemical industry. The company also carries out research on the joint use of bioenergy and other renewable energy supply technologies as a means of providing efficient, sustainable and economic solutions for the energy system of the future.
The research area Smart- and Microgrids was established in 2017 and focuses on the design and control of distributed energy resources (DER) projects and Microgrids. The research group explores theoretical, physical and scientific relationships involved in the planning and control of decentralized energy systems and engages in their experimental development. The methods applied include mixed-integer linear programming (MILP) or linearized MILP and model predictive control (MPC) methods. These methods are essential for solving the complex challenge of taking a comprehensive approach (design and operation) to multi-energy systems (electricity, heating and cooling for buildings, municipal and industrial applications).