Data-Driven Smart Buildings

Holiday houses with swimming pool

Demand-side response solution using model predictive control (MPC) and flexibility functions in summer houses with swimming pool.

Project Information

Location

Blåvand, Denmark

Building Typology

Recreational Residential Building

Technology Installed / Proposed

The smart-energy operating-system (SE-OS) is used to develop, implement and test solutions for operating flexible electrical energy systems at all scales and provide ancillary services. Integration of information and communication technology (ICT) is attained to exchange data between transmission system operators (TSO), distribution system operators (DSO), aggregator and the summer houses. On-line services for price and load forecasting is used in combination with model predictive control (MPC).

Data Availability

–

Status

Operational - Results Available

Project Aim

The objective of the project was to demonstrate the potential of exploiting demand-side flexibility of indoor swimming pools by using information and real-time data available as well as electricity market prices, meteorological data and price signals to minimise operational costs. Novel model predictive control algorithms were developed to use price signals from aggregators to evaluate distributed energy resources flexibility and activate impulsion pumps for hot water production in indoor swimming pools in rental houses. The concept is using controllers based on the flexibility function method.

Additional Information

An indoor swimming pool in one of the holiday houses

A smart house controller for data collection

Data measurement and information gathering setup

For more information on the Case Study

Contact Person: Prof. Henrik Madsen

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