Abstract
The shifting from the traditional centralized electric sector to a distributed and renewable system presents some challenges. Battery energy storage technologies have proven effective in relieving some aspects of this transition by facilitating load control and providing flexibility to non-dispatchable renewable production. Therefore, this paper investigates how to dimension battery energy storage systems with applied multi-tasking strategies in microgrids. To this end, it proposes a framework to accurately depict how BESS can be financially and technically feasible by deploying multi-tasking strategies that fit the system characteristics of a microgrid while providing arguments for the financial incentive. The framework development is based on the principles of the analytical approach and is conceptualized in a three-part funnel structure. This framework has been tested using the case study of Aeroe microgrid and resulted in a proposed battery energy storage configuration. Based on the findings, the BESS implementation contributes to improve load behavior and to increase internal production utilization. A sensitivity analysis was performed, to investigate the robustness of the configurations. Collectively, the framework has proven to provide feasible results within a wide range of parameters. This framework could help the preliminary investigation phase when analyzing future battery energy storage system investments.
| Originalsprog | Engelsk |
|---|---|
| Artikelnummer | 52 |
| Tidsskrift | Energy Informatics |
| Vol/bind | 5 |
| Udgave nummer | Suppl. 4 |
| Antal sider | 23 |
| ISSN | 2520-8942 |
| DOI | |
| Status | Udgivet - dec. 2022 |
| Begivenhed | Energy Informatics.Academy Conference 2022 - Vejle, Danmark Varighed: 24. aug. 2022 → 25. aug. 2022 https://www.energyinformatics.academy/eia-2022-conference |
Konference
| Konference | Energy Informatics.Academy Conference 2022 |
|---|---|
| Land/Område | Danmark |
| By | Vejle |
| Periode | 24/08/2022 → 25/08/2022 |
| Internetadresse |
Bibliografisk note
Funding Information:This work is supported by the “Cost-effective large-scale IoT solutions for energy efficient medium- and large-sized buildings” project, funded by the Danish Energy Agency under the Energy Technology Development and Demonstration Program, ID number: 64020-2108.
Funding Information:
The authors would like to acknowledge Per Nielsen, General Manager at EMD International A/S, for the support and help with data and software access. Our thanks also extend to the Center for Energy Informatics, University of Southern Denmark for the research facilities provided to conduct this work. This article has been published as part of Energy Informatics Volume 5 Supplement 4, 2022: Proceedings of the Energy Informatics.Academy Conference 2022 (EI.A 2022). The full contents of the supplement are available online at https://energyinformatics.springeropen.com/articles/supplements/volume-5-supplement-4.
Publisher Copyright:
© 2022, The Author(s).