Affiliation:
1. Fraunhofer Institute for Environmental, Safety and Energy Technology UMSICHT, 46047 Oberhausen, Germany
2. Institute of Technical Thermodynamics, RWTH Aachen University, 52062 Aachen, Germany
Abstract
As a part of the transition in higher-level energy systems, distributed cross-sectoral energy systems (DCESs) play a crucial role in providing flexibility in covering residual load (RL). However, there is currently no method available to quantify the potential flexibility of DCESs in covering RL. This study aimed to address this gap by comparing the RL demand of a higher-level energy system with the electricity flow between a DCES and the electricity grid. This can allow for the quantification of the flexibility of DCES operation. Our approach was to categorize existing methods for flexibility quantification and then propose a new method to assess the flexibility of DCESs in covering RL. For this, we introduced a new quantification indicator called the Flexibility Deployment Index (FDI), which integrates two factors: the RL of the higher-level energy system and the electricity purchase and feed-in of a DCES. By normalizing both factors, we could compare the flexibility to cover RL with respect to different DCES concepts and scenarios. To validate the developed quantification method, we applied it to a case study of a hospital’s DCES in Germany. Using an MILP optimization model, we analyzed the variation in FDI for different technology concepts and scenarios, including fixed electricity tariffs, dynamic electricity tariffs, and CO2-emission-optimized operation. The results of our calculations and the application of the FDI indicate that high-capacity combined heat and power units combined with thermal storage units provide higher flexibility. Additionally, the results highlight higher flexibility provision during the winter period compared to the summer period. However, further application and research are needed to confirm the robustness and validity of the FDI assessment. Nonetheless, the case study demonstrates the potential of the new quantification method.
Subject
Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction
Reference51 articles.
1. Schill, W. (2013). Residual Load, Renewable Surplus Generation and Storage Requirements in Germany, Deutsches Institut für Wirtschaftsforschung.
2. The future need for flexibility and the impact of fluctuating renewable power generation;Brunner;Renew. Energy,2020
3. Next Kraftwerke GmbH (2023, February 01). Was Ist Die Residuallast?. Available online: https://www.next-kraftwerke.de/wissen/residuallast.
4. (2023, February 01). SMARD Strommarktdaten. Available online: https://www.smard.de/home.
5. Stappel, M., Gerlach, A., Scholz, A., and Pape, C. (2015). The European Power System in 2030: Flexibility Challenges and Integration Benefits. An Analysis with a Focus on the Pentalateral Energy Forum Region, Fraunhofer IWES. Analysis on behalf of Agora Energiewende; Technical Report No. 067/02-a-2015/En.