INBUILT
Integrated Energy Modeling of Buildings and their Clustering
Creating mechanisms to use decentral energy flexibility for active network management.
INBUILT focuses on below:
- INBUILT aims to develop a fully integrated dynamic bottom-up high-resolution model that can embody key features towards the simulation of Grid Interactive Buildings (GIBs). This model builds on the concept of modularity consisting of multiple components, each of which is composed of additional modules, and allowing for more flexibility in terms of possible system configurations and computational efficiency towards a wide range of scenarios to study different aspects of end-use. It will also incorporate future technological breakthroughs and multiple energy carriers in a detailed manner, such as the inclusion of heat pumps or Electric Vehicles and Demand Response actions, in view of energy transitions envisioning the full electrification of the heating and transport sectors.
- Also, the key idea is to develop dynamic clustering based on machine learning techniques to formulate dynamic virtual nodes of GIBs to give momentum and increase further the building-grid integration. Mechanisms on how to aggregate the flexibility of the dynamic clusters shall be investigated. It is important that the modelled flexibility of the cluster can be treated appropriately when matched with the operator needs or the market mechanisms. Of course, by providing flexibility, GIBs participating in the clusters shall be rewarded appropriately and to that end effective disaggregation techniques shall be investigated for efficient rewarding.