Photovoltaic energy sharing: Implementation and tests on a real collective self-consumption system
Camblong H., Curea O., Ugartemendia J.J., Boussaada Z., Lizarralde I., Etxegarai G

TL;DR
This study analyzes different photovoltaic energy sharing methods in a real-world collective self-consumption system, demonstrating that dynamic and customized sharing improve self-consumption rates and savings.
Contribution
It provides an empirical comparison of static, dynamic, and customized dynamic PV energy sharing in a real case, highlighting their impact on efficiency and savings.
Findings
Dynamic sharing increases self-consumption rate.
Customized dynamic sharing enhances savings.
Energy sharing effectiveness varies with solar radiation levels.
Abstract
This research study analyses different types of photovoltaic (PV) energy sharing in a collective self-consumption (CSC) real-case in the Izarbel technological park in France. The analysis is carried out above all from the point of view of the self-consumption rate (SCR) and the savings. After explaining the emergence of the self-consumption concept for the integration of renewable energies, the study case is described. The PV energy is produced in ESTIA1 building and consumed in ESTIA1, 2 and 4 buildings. The main IoT components used to implement the CSC are smart meters and the Tecsol TICs; devices based on the LoRa protocol to retrieve production and consumption data. Then, the characteristics of PV energy sharing in France are explained, in particular the three possible types of energy sharing/allocation (static, dynamic by default and customised dynamic) and the structure of the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSmart Grid Energy Management · Integrated Energy Systems Optimization · Building Energy and Comfort Optimization
