Abstract
The technical and economic benefits of local energy communities (LECs) are not always clear, which hinders the widespread adoption of LEC projects. Design support tools that can evaluate the potential performance of LECs could help to overcome this challenge. Therefore this study proposes a simulation-based design optimization approach that enables LEC designers to analyze the impact of different design decisions on the LEC performance. The proposed approach uses computational models for the electricity grid, photovoltaic systems, battery energy storage systems, and buildings to represent the LEC. The approach is demonstrated using a Dutch case study of several office buildings. The impact of different design variations is investigated on several performance indicators releveant to the LEC, among others the self-sufficiency of the LEC, the self-consumption, and the one-percent peak.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of Building Simulation 2023 |
| Subtitle of host publication | 18th Conference of IBPSA |
| Publisher | International Building Performance Simulation Association (IBPSA) |
| Pages | 2136-2143 |
| Number of pages | 8 |
| Volume | 18 |
| DOIs | |
| Publication status | Published - 2023 |
| Event | Building Simulation Conference 2023 - Shanghai, China Duration: 4 Sept 2023 → 6 Sept 2023 https://bs2023.org/ |
Conference
| Conference | Building Simulation Conference 2023 |
|---|---|
| Abbreviated title | BS2023 |
| Country/Territory | China |
| City | Shanghai |
| Period | 4/09/23 → 6/09/23 |
| Internet address |
Funding
The work leading to this paper is part of the TROEF project funded by RVO under grant no. MOOI32025 (website: https://www.troefenergy.nl/). The authors would like to thank BAM Energy Systems for supporting this research and providing the data.
| Funders | Funder number |
|---|---|
| BAM Energy Systems | |
| Rijksdienst voor Ondernemend Nederland | MOOI32025 |
