Methodology | REDAP

Energy Demand Analysis: Unlocking Value in a Digital Era

To meet today's energy demand, systems need to be more connected, flexible and responsive. This means that the rollout of advanced generation, storage and supply technologies must, first of all, start with understanding the energy demand landscape.

REDAP provides data insights on the profile, distribution and patterns of consumption across the building and transport sectors.

The standardised process for monitoring, reporting and analysing energy demand across distinct regions can be aligned with existing decision-making processes and can help stakeholders involved in the complex, costly decarbonisation process.

REDAP Data Insights

REDAP delivers the following data insights to decision-makers in a number of spatial & non-spatial digital formats.

Building Stock

Floor area, building type (residential, nonresidential), useful energy (SH, HW), final energy by fuel (gas, oil, electricity), final electricity, CO2-emission (absolute of per m2)

Charger Placement

Spatial visualisation, installed capacity, average km the user has to drive to the next station

Load Curves

Hourly electricity consumption by season and week day (Working days, Weekend): peak load, average, hourly values.

Mobility

Km driven by car, energy carriers by fuel type (diesel, gasoline, electricity)

Delivering actionable insights. Our Process

We follow a clear process for integrating data, procedures and know-how, and for building a high-quality monitoring and reporting system.

1. Collate a range of actionable datasets.

This includes authoritative data made available under the Energy performance of buildings directive, statistical data and cellular 'mobility' data samples.

2. Integrate with decision-making processes.

The data insights will help inform the energy plan and policy-making work of end-users, along with local engagement with suppliers and energy communities.

3. Develop front & back-end frameworks.

REDAP is built using standards-compliant systems for managing and visualising complex spatial and non-spatial data, making it customisable to users needs.

4. Test & Maintain the data-driven system.

We work with energy planning experts 'Need-Owners' from across distinct EU regions in order to ensure that the insights are both relevant and comparable.

5. Deliver relevant, focused insights.

Users can generate reports on energy demand 'themes' to include in policy, plans, community charters and Covenant of Mayors.

This project has received funding in the framework of the joint programming initiative ERA-Net Smart Energy Systems’ focus initiative Integrated, Regional Energy Systems, with support from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 775970.