The territorial structure
The dataset contains households and public facilities distributed across nine localities, kept in full in the interactive map.
An integrated view of the households, public buildings, and the digital layer that can coordinate production, consumption, storage, and flexibility at community level.
The case study in numbers
Households form the base of the community, while public facilities can serve as reference points for consumption, local production, flexibility, and operational visibility.
Interactive map
Choose a marker to see its potential role in the community.
Context
The territorial data is explicitly separated from the proposed energy architecture, so the case study stays rigorous and easy to extend through a feasibility study.
The dataset contains households and public facilities distributed across nine localities, kept in full in the interactive map.
Photovoltaics, storage, heat pumps, and flexible control are represented as a proposed scenario. Sizing is established later through the feasibility study.
They can combine local consumption with photovoltaic production, storage, and flexible loads, depending on the technical solution defined for each site.
Schools, cultural centres, public lighting, and the other buildings can provide distinct consumption profiles and visible implementation points.
The platform centralizes measurement, forecasting, analysis, and decision-making without being represented as a physical source of energy.
Physical flows remain in the electricity grid; coordination and allocation are handled separately, through measurement and digital logic.
How the system works
A participant, household or public building, can combine local solar production, battery storage, electrical and thermal consumption, and a smart meter linked to the platform. Electricity, heat, and data stay separate, so each is sized and monitored on its own.
Energy flows physically through the public grid; there is no dedicated cable between buildings. The platform sets self-consumption priority, decides when storage charges or discharges, and how flexible loads respond.
Meters, gateways, production, storage, and flexible loads feed the platform continuously. The data becomes a live model of the community: 24-hour forecasts, anomaly detection, optimization, a virtual energy manager, and reporting, all available to the administrator.
The community runs on a continuous cycle: measure, forecast, plan, optimize, command, monitor, verify, recalibrate. High local production favours self-consumption and charging; a consumption peak triggers controlled discharge; a deficit prioritizes essential loads and planned import.
The nine localities, 76 locations in total, connect to a shared layer of measurement, intelligence, and coordination. Physical assets and the grid at the base, metering in the middle, the Renergia platform on top, managing information and decisions rather than energy itself.
From concept to implementation
This case study describes the structure and logic of the system. Technical capacities and economic results are validated separately, through measurements, scenarios, and a feasibility study.
Consumption profiles, installation condition, existing assets, and grid-connection conditions.
Scenarios for production, storage, thermal consumption, and flexibility, with no assumed values.
Power ratings, capacities, protections, communications, and the community's operating architecture.
Integration, commissioning, monitoring, verification of results, and recalibration.
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