Energy Communities as Nucleus for PED

Socially-Driven Energy Communities for Coordinated Flexibility and Collective Investment

1. Project Title

SOC-FLEX-EC
Social Bonding as an Enabler of Coordinated Flexibility and Collective Energy Investment in Energy Communities

2. Background and Motivation

The transition to decentralized renewable energy systems requires new forms of coordination at the local level. While technologies such as smart meters, distributed generation, and storage systems are increasingly available, their full potential remains underutilized due to fragmented decision-making among individual users.

Energy communities offer a promising solution by combining technical infrastructure with social organization. Strong social bonding within these communities can facilitate:

• Trust-based data sharing

• Collective decision-making

• Joint financial commitments

However, the mechanisms through which social cohesion translates into effective flexibility management and investment strategies are not yet fully understood.

3. Objectives

The project aims to investigate and demonstrate how social dynamics within energy communities enable:

1. Mutual information exchange

   • Transparent sharing of consumption, production, and pricing data

2. Coordinated flexibility management

   • Collective demand-side response

   • Optimized use of distributed energy resources

3. Mutual investments via energy contracting

   • Cooperative ownership models

   • Shared risk and benefit allocation

4. Research Questions

• How does social bonding influence willingness to share energy data?

• What governance models best support coordinated flexibility?

• Which contracting mechanisms enable fair and scalable collective investments?

• How can digital platforms support both technical optimization and social trust?

5. Methodology

5.1 Case Studies

• Selection of pilot energy communities across different socio-economic contexts

• Comparative analysis of governance and participation models

5.2 Data Collection

• Smart meter and flexibility data

• Surveys and behavioral studies

• Interviews with community members and stakeholders

5.3 Modeling & Simulation

• Agent-based modeling of community behavior

• Optimization of energy flows under coordinated strategies

5.4 Experimental Pilots

• Implementation of coordination mechanisms (e.g., shared scheduling, dynamic pricing)

• Testing of energy contracting frameworks

6. Innovation

• Integration of social science and energy system engineering

• Novel frameworks for trust-based data exchange

• Scalable models for community-driven flexibility markets

• New approaches to collective energy investment using contracting schemes

7. Expected Outcomes

• Demonstrated increase in flexibility utilization at community level

• Reduced peak demand and improved grid stability

• Replicable models for energy community governance

• Policy recommendations for enabling regulatory frameworks

8. Impact

The project contributes to:

• Accelerating the clean energy transition

• Empowering citizens as active energy participants

• Enhancing energy affordability and resilience

• Supporting EU climate and energy targets

9. Consortium (Indicative)

• Research institutions (energy systems, social sciences)

• Technology providers (smart grid, digital platforms)

• Local energy communities / cooperatives

• Policy and regulatory stakeholders

10. Timeline (36 Months)

• Phase 1: Conceptual framework & case selection

• Phase 2: Data collection & modeling

• Phase 3: Pilot implementation

• Phase 4: Evaluation & policy recommendations

11. Keywords

Energy communities, flexibility, social cohesion, demand response, energy contracting, collective investment, smart grids