Photovoltaic energy sharing: Implementation and tests on a real collective self-consumption system.

Heliyon · 2023 · Unclear · Insufficient evidence

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UnclearInsufficient evidencePaper 2413

In a real collective self-consumption case (Izarbel technological park, France), the study compares static, dynamic by default, and customised dynamic PV energy sharing across four scenarios. Dynamic allocations increased the self-consumption rate, and custom…

Study snapshot

PublicationHeliyon · 2023
Study typeengineering
Reported directionUnclear
Evidence ratingInsufficient

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 electricity bill. Finally, the three types of sharing are compared in four scenarios (without and with a data centre, for low and high solar radiation). The results show that the dynamic allocations lead to increases of the SCR and that the customised dynamic sharing increases savings.

Machine Enhanced Logic

AI evidence extraction

Structured fields below were generated from the paper’s abstract and metadata to make the evidence easier to inspect. Automated extraction may be incomplete or incorrect; verify important details against the original paper.

Study typeengineering
Effect directionunclear
PopulationNot supplied
Sample sizeNot supplied
ExposureNot supplied
Evidence strengthInsufficientConfidence: 66% · Peer reviewed: yes

Main findings

In a real collective self-consumption case (Izarbel technological park, France), the study compares static, dynamic by default, and customised dynamic PV energy sharing across four scenarios. Dynamic allocations increased the self-consumption rate, and customised dynamic sharing increased savings.

Outcomes measured

  • self-consumption rate (SCR)
  • savings
  • photovoltaic (PV) energy sharing/allocation performance
View raw extracted JSON
{
  "study_type": "engineering",
  "exposure": {
    "band": null,
    "source": "smart meter / IoT (LoRa protocol)",
    "frequency_mhz": null,
    "sar_wkg": null,
    "duration": null
  },
  "population": null,
  "sample_size": null,
  "outcomes": [
    "self-consumption rate (SCR)",
    "savings",
    "photovoltaic (PV) energy sharing/allocation performance"
  ],
  "main_findings": "In a real collective self-consumption case (Izarbel technological park, France), the study compares static, dynamic by default, and customised dynamic PV energy sharing across four scenarios. Dynamic allocations increased the self-consumption rate, and customised dynamic sharing increased savings.",
  "effect_direction": "unclear",
  "limitations": [],
  "evidence_strength": "insufficient",
  "confidence": 0.66,
  "peer_reviewed_likely": "yes",
  "keywords": [
    "photovoltaic",
    "collective self-consumption",
    "energy sharing",
    "self-consumption rate",
    "savings",
    "smart meters",
    "IoT",
    "LoRa",
    "France"
  ],
  "suggested_hubs": [
    {
      "slug": "smart-meters",
      "weight": 0.55,
      "reason": "Implementation uses smart meters as key IoT components in the collective self-consumption system."
    }
  ]
}
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AI-extracted fields are generated from the abstract and metadata and may be incomplete or incorrect. This material is for informational purposes and is not medical advice.

Identifiers and source

DOI: 10.1016/j.heliyon.2023.e22252
PubMed: 38107310

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