Problem Addressed

Commercial buildings are major contributors to greenhouse gas emissions, accounting for a significant portion of global energy consumption. However, managing and reducing energy consumption in these complex structures is a difficult task that requires real-time data analysis, identifying energy-saving opportunities, and implementing proactive energy management strategies.

Solution Overview

Hank AI is designed to seamlessly integrate with an on-site Building Management System (BMS), enabling effective control and real-time adjustments. To integrate these systems, the Hank Edge Gateway connects to the BMS using industry-standard protocols and VPN access where required. Once connected, Hank AI uses machine learning to monitor and analyse data from various sensors and devices within the building HVAC system. It receives real-time data on temperature, humidity, occupancy, energy usage, and other parameters from the BMS and uses this data to identify patterns, predict trends, and detect anomalies. It continuously learns from the collected data and improves its decision-making capabilities over time.

Hank AI can also act as a virtual building operator, enabling real-time control and adjustments by leveraging the data it receives from the BMS to optimise energy consumption, enhance occupant comfort, and ensure efficient operations. It can respond dynamically to a range of changing variables. For instance, if it detects an increase in energy consumption or a malfunctioning sensor, it can trigger alarms, alert Hank’s virtual engineers, facility managers, on-site M&E contractors, and intervene by activating predefined backup systems or adjusting equipment settings accordingly. Hank also uses its AI and its team of support engineers to serve as a building’s virtual engineer partner.

Overall, Hank AI’s integration with the BMS enables it to control and make real-time adjustments based on data-driven insights, optimising building performance, energy efficiency, and occupant experience. Hank reduces a building’s energy spend on average by 20%. Additional benefits include but are not limited to: reducing temperature related tenant complaints, improving air quality standards, extending the life of HVAC equipment, improving operational capacity of onsite building staff, and increasing NOI by making a building more attractive to tenants.

There is no CAPEX investment needed apart from a once off set up fee that ranges from between £3k and £5k depends on building size. As Hank is an SaaS product, it provides immediate ROI once implemented. They also guarantee that energy savings will always exceed the monthly membership cost. If it does not, Hank will credit the client the difference in cash. The average ROI in the UK for clients using Hank is 285% with a payback of less than 4 months at most.

Case Study

Hank AI was incorporated into a 125,000 square foot property in Birmingham run by Royal London to help increase the value of their assets and decarbonise their portfolio. The HVAC system was initially running on the BMS’ pre-set schedules which meant some of the plant equipment was running outside of its required demand, increasing energy consumption and maintenance time. Hank incorporated a variety of adjustments to the existing HVAC, including scheduling and zone groups to both ensure tenant comfort and reduce energy use. Hank also set up alarms to inform onsite staff of mechanical equipment problems and the software can bypass non-operational equipment if necessary. Since incorporating Hank, Royal London has realised a 21% total energy savings and a 708% ROI with a guaranteed £148,000 in annual savings. They expect an annual reduction of more than 150,000 kWh and 90,000 BTUs which will prevent 500 metric tons of carbon emissions.

Facts and Figures

20 %
285 %
Energy

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