Building Energy Management System

Hampton Square

Project Details

Client: Hampton Square

Task: Student Accommodation and Energy Centre

The Background

Hampton Square offers high standard student living in Southampton. Only a 10-minute walk from the University of Southampton, it also has great links to Solent University and the city centre.

The development consists of six student accommodation residential blocks served from a central Energy Centre.

The Cura Energy Approach

Hampton Square comprises of a central Energy Centre which provides hot water and services to all six accommodation blocks.

The Energy Centre generates its hot water via a central Combined Heat and Power Unit and gas fired Boilers which we control to maximise on energy efficiency to cope with the individual demands of each of the six student accommodation blocks.

Each of the six apartment blocks draw their resources from the Energy Centre so it is crucial the systems are linked together to minimise on energy usage.

As a result, we designed and installed a BeMS for Hampton Square consisting of seven main control panels located in the main Energy Centre and within the six apartment blocks. We linked the 7no control panels together via a dedicated BACNET/IP network running between the buildings.

We selected Siemens Desigo PX controllers to provide the monitoring and control for over 200+ BMS data points due to its ease of integration and simple remote user interface. In addition, we integrated the metering and CHP data into the Siemens Desigo PX BMS via MODBUS.

Access to the BeMS is provided via a user-friendly touchscreen display panel located on the Energy Centre Control Panel or the site can be accessed remotely via any internet enabled device.

The Result

The buildings whilst being independent entities are linked by their shared requirement for the central energy resource.

The Siemens PX BeMS installed allows us to monitor the unique energy profiles for the individual blocks to understand how they are operating and what adjustments can be made as the occupancy levels change. In addition, future energy saving measures or initiatives can be considered and implemented using the data.