Energy as a Service provider for businesses
Lower energy costs by optimising building assets in response to the energy markets
Lower energy costs by optimising building assets in response to the energy markets
Only 45% of electricity bill is actual energy costs, the rest is made of charges based on when you use the energy and government levies to manage the network
The situation is set-to get worse for instance , the capacity market levy is rising four times this year.
Lower energy costs by upto 30%, reduce CO₂ emissions and operational risk by proactively managing consumption, generation and storage of energy. Acting as an intermediary platform we work with energy suppliers & traders, creating & delivering value for all.
Qbots’ mission is to build and operate a Federated Power Plant (FPP) that aggregates and utilises flexibility in consumer demand along with renewables & battery storage to enable localised trading and balancing, for building smart energy systems of the future.
Qbots AI powers two levels of prediction and control; one at the site level and one at the network level. The AI model on-site enables buildings to respond to notifications from the electricity grid to shift their electricity demand & use battery storage, while maintaining thermal comfort for its tenants and any constraints.
Smarter energy systems could save consumers upto £2 billion/year in 2030
-Carbon trust, 2016
Reduce your bills & earn revenues from energy markets by
Take a look at what we’ve been working on over the past year
Through the smart city programme worked with Bruntwood and University of Manchester, identified 3 buildings : Citylabs 1.0, Bright building and James Chadwick Building , carrying out flexibility modeling and analysis using energy data, BMS data to deliver demand side response & energy saving along with carbon reduction outcomes for stakeholders.
Vehcile-to-Grid project design along with Manchester city council and various stakeholders to enable the large-scale deployment of bidirectional EV charging points and sharing their available battery storage along with smart buildings and renewables to build a 50 MW virtual power plant
4 months project with Exeter City council (ECC) estates, carrying out detailed analysis of the energy data from 5 sites, designed a smart system with battery storage (500 KW/500 kWh) for a site with existing 1.5 MW solar installation. The outcomes were better utilisation of on-site generation, savings on bill and provision of additional income through ancillary services to grid with energy trading.
Through the smart city programme worked with Bruntwood and University of Manchester, identified 3 buildings : Citylabs 1.0, Bright building and James Chadwick Building , carrying out flexibility modeling and analysis using energy data, BMS data to deliver demand side response & energy saving along with carbon reduction outcomes for stakeholders.
Vehcile-to-Grid project design along with Manchester city council and various stakeholders to enable the large-scale deployment of bidirectional EV charging points and sharing their available battery storage along with smart buildings and renewables to build a 50 MW virtual power plant
4 months project with Exeter City council (ECC) estates, carrying out detailed analysis of the energy data from 5 sites, designed a smart system with battery storage (500 KW/500 kWh) for a site with existing 1.5 MW solar installation. The outcomes were better utilisation of on-site generation, savings on bill and provision of additional income through ancillary services to grid with energy trading.
Qbots was founded in 2017 by Dr Li Yao and Vijay Natarajan with a vision to bring Internet of Things(IoT), data analytics , machine learning and automation capabilities to energy management utilising energy storage.
Everyday along side our talented team of passionate individuals we strive to achieve our goal to optimise the performance of energy systems, lower costs on energy bills and maximize return on investment throughout the system’s life.
General: Info@qbots.ai
Marketing: Vijay.N@qbots.ai
Manchester Office:
Innospace, The Shed
Chester Street, Manchester M1 5GD
London Office:
Techspace SHoreditch
25 Luke St, London EC2A 4DS
Mobile: 07736938481
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