Methodology for evaluating the replicability of European energy solutions in global contexts
Notice bibliographique
Résumé
Platone (Platone Consortium, 2020) was a four-year Horizon 2020 funded European project that aimed at defining new approaches to increase the observability of renewable energy resources and loads to exploit their flexibility. It developed advanced management open-source platforms to unlock grid flexibility and to realize an open and non-discriminatory market, linking users, aggregators, and operators. These platforms were tested in three pilot projects in Italy (Platone Consortium, 2021), Greece (Platone Consortium, 2023) and Germany (Platone Consortium, 2021) and allow to integrate solutions like: Local Energy Communities, Virtual Power Plants (VPPs) supporting Distribution System Operators (DSOs), FlexibilityBased Reinforcement Planning, and Flexibility Provision by Distributed Resources. The results of pilot projects were complemented by an analysis of the Scalability and Replicability Analysis (SRA) potential of the most promising solutions tested in the demos in the European context (Platone consortium, 2023). The present paper expands the Platone project's insights into a comprehensive methodology for evaluating the replicability potential of solutions developed in the 3 pilot projects in Extra European contexts, notably Canada. By integrating quantitative insights with empirical evidence from pilot projects across Italy, Greece, and Germany, the proposed approach highlights the critical interplay between technical innovation, regulatory adaptability, and stakeholder engagement. The analysis was performed with a qualitative approach. First, a literature review of the similar approaches developed by other European projects that allows to identify the technical, regulatory, and stakeholder acceptance issues that impact on the SRA potential of the Platone solutions. These elements were used to elaborate an ad hoc questionnaire that was distributed among the list of stakeholders of Canadian experts identified by the Northern Alberta Institute of Technology. The survey highlights key insights and recommendations for deploying innovative energy solutions in Canada, such as VPPs and Flexibility-based Reinforcement Planning. Challenges include technical hurdles, like the deployment of Advanced Metering Infrastructure, and regulatory barriers across Canadian regions affecting distributed energy resources (DER) participation and energy trading. To overcome these obstacles, strategies such as comprehensive cost-benefit analysis, strengthened data privacy, standardized practices, regulatory alignment, increased stakeholder awareness, and supportive government policies are essential. Addressing these challenges can pave the way for successful integration of these solutions into Canada's energy framework, contributing to a sustainable and resilient energy system.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».