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Did you know that...?

Europe and the UK has an aged building stock

35% of which >50% years
75% of which is inefficient
only 1% are being renovated each year

Buildings are the single largest energy consumer in Europe responsible for 36% of greenhouse gasses.

The Challenge

  • Renovation of aging and inefficient UK buildings is slow
  • Improvement of efficiency will see engineering activities that further increase demand on earth resources and associated CO2 production
  • We look to reduce both the cost and quantities of raw materials used in the installation and maintenance of systems which control energy within buildings
  • Identifying the untapped energy saving potential which can be leveraged through improvements to building automation

Our roadmap is to grow a nervous system within a building to improve building energy efficiency.

Introducing, Project NERVE

Self-Powering IoT Devices. Functioning with extra sensory capacity drives efficient calculated responses.

Core Capabilities

  • Unlocks hidden energy saving potential within a building.
  • Wireless ‘self-powering’ devices which can be applied to both new and existing buildings, no batteries or cables required.
  • Can work as standalone system, or via opensource systems integration with Building Management Systems (BMS) or other existing control systems.
  • Our systems only take what is needed through harvesting and conversion of available ‘energy forms’ within buildings to power the solutions.

Reduce installation costs by 70% due to our solutions being both wireless and batteryless.

Self -powering wireless systems negate further contribution to CO2 emissions produced over the life-cycle of building renovation works and reduce demands on resources and raw materials.

Can reduce the 75% inefficiency figure of buildings by over 45%.

Buildings are responsible for approximately 40% of EU energy consumption. Renovation of existing buildings can lead to significant energy savings and could reduce the EU’s total energy consumption by 5-6% and lowerCO2 emissions by 5%.

Typical decrease of primary energy consumption:

Reap the Rewards

The value of the energy savings which would be attained are approximately 9 times the cost of the investments required and hence are highly cost-effective.

Source: Wade (2019).
* these figures are based on non-residential applications

Improving from Class D to Class C: by ~ 30%.
Improving from Class C to Class B: by ~ 23%.
Improving from Class B to Class A: by ~ 29%.

The Internet Of Things,
drives the internet of energy.

When our solutions are interconnected with building services,
the analogy of the nervous system comes to fruition.

The gateway & its implementation

  • IoT multi-sensors detect temperature, occupation and ventilation requirements of a room or area within a building
  • Data is analysed and sent to a selected destination to communicate the ‘measured demands’ and requirements of a room or area
  • Connected equipment responds to the ‘measured demands’ to ensure that the ‘calculated response’ is more energy efficient

Let's talk...

2021-03-12 10.49.00_clipped_rev_2

Anthony Duffy


2021-03-12 10.50.16_clipped_rev_2

Malcolm Hamer


2021-03-16 19.10.39_clipped_rev_2

Kate Duffy


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