Tenant-based PV business model for the deployment and integration of residential PV

The result is a business model to facilitate the installation, commissioning and operation of a PV plant for a high degree of solar fraction when refurbishing apartment buildings.

The development of BIPV in multi-storey houses will contribute to achieve local environmental targets (e.g. decrease of energy demand from the grid and CO2 emissions, increase of RES share). From a social point of view, the tenant-based PV model makes it possible to involve tenants/flat owners who do not own the roof/façade of the building, and to lower the energy bills of purchased electricity. By increasing the energy consumption from RES, new financing potentials for the energy transition and new jobs for the ESCOs will be created.

Two projects based on this model have been implemented in Innsbruck, and a third one is underway. There will be a further deployment of a packaged service by the utility:

  1. Electric self-sufficiency for common areas (light, laundry, etc.)
  2. Increasing electric self-sufficiency of the building including households recently permitted by the national regulation.
  3. Evaluation of the results in order to better understand whether the model makes sense from an economic point of view for IKB.
  4. Establishing long-term relationship between the municipal utility, social housing companies and customers in Innsbruck, but also in the region.
  5. Getting experiences with the new PV sharing model for tenants in multi‐apartment buildings. Static or dynamic tenant electricity models are available that maximize the solar fraction of the electricity consumption generated by the Building Integrated Photovoltaic System.
  6. The IKB-Smart-District includes several buildings. In the centre is the Showroom where most of the energy units are located. On nearly all roofs PV plants are installed.
  7. Getting experiences about surplus power to heat installations by transferring the electrical energy to storages to ensure utilization at peak load time periods.

The model will be further replicated after the project completion.

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