Optimize building
energy-usage with AI

Optimize building
energy-usage with AI

500000

Controlled by AI

55

Buildings running

15

Lapse between energy control strategy updates

1%

Myrspoven’s mission

Our mission can be resumed by this simple statistic. Our vision is to globally contribute to the real estate industry’s reduction of the carbon footprint of non-renewable kWh by 1%.

How Myrspoven works

Building BMS

The only necessary infrastructure the building needs to operate Myrspovens system is a BMS system connected to the web and temperature/CO2 sensors representing the indoor climate.

Database

Myrspoven integrates to the buildings existing BMS system. The integration is a two-way integration allowing Myrspovens system to both reads and writes into the BMS in a way harmonizing with the existing logic. The integration also includes a fallback solution putting the system back to default in case of a planned or unplanned shutdown. The cloud database is the heart of Myrspoves system storing and organising all data.

Weather

Myrspoven harvests any open-source data available that might improve the model’s predictive power. Whether data and utility tariffs are always a part of the input

Artificial Intelligence

Cutting edge AI algorithms are applied to the data stored in the database. The result is a virtual building model that can be used to predict future energy use and indoor climate. The models are re-trained every night and are always improving.

Optimization

The optimizer using the AI models to calculate how the building should be operated to achieve the best indoor climate at the lowest possible cost. The client only defines good indoor climate and set the setpoint boundaries that the optimizer is allowed to operate within.

The control strategy is updated every 15 minutes.

How Myrspoven works

1
Building BMS

The only necessary infrastructure the building needs to operate Myrspovens system is a BMS system connected to the web and temperature/CO2 sensors representing the indoor climate.

2
Database

Myrspoven integrates to the buildings existing BMS system. The integration is a two-way integration allowing Myrspovens system to both reads and writes into the BMS in a way harmonizing with the existing logic. The integration also includes a fallback solution putting the system back to default in case of a planned or unplanned shutdown. The cloud database is the heart of Myrspoves system storing and organising all data.

3
Weather

Myrspoven harvests any open-source data available that might improve the model’s predictive power. Whether data and utility tariffs are always a part of the input

4
AI

Cutting edge AI algorithms are applied to the data stored in the database. The result is a virtual building model that can be used to predict future energy use and indoor climate. The models are re-trained every night and are always improving.

5
Optimization

The optimizer using the AI models to calculate how the building should be operated to achieve the best indoor climate at the lowest possible cost. The client only defines good indoor climate and set the setpoint boundaries that the optimizer is allowed to operate within.

6
Update

The control strategy is updated every 15 minutes.

You are in Control

Best indoor climate

The customer is able define the indoor climate. The intelligent AI-based system uses data collected onsite to teach itself how to adjust heat, cooling and ventilation depending on prevailing external conditions (such as weather or wind) and on how the specific buildings are designed, used and configured.

Big Data

Unique Insights

All data collected in real time is saved into a database and uploaded into the building’s digital twin. This data is combined with other datasets generated from different energy providers, weather forecasting system, etc to generate models. About once per hour, new control signals are sent back via the connector to the BMS based on these predictions.

Artificial Intelligence

Energy forecasting

Myrspoven’s solution enables forecasting of both energy costs and climate ahead of time, which enables control adjustments that takes energy tariffs into account. The model is upgraded and optimized every day as it learns from the data collected.

Generic & Scalable Solution

Easy to implement

Myrspoven’s team has developed a scalable system that, with the help of modern AI, enables a continuous and autonomous optimization of complex buildings. The core of the system is based on scalability and flexibility and is independent of the manufacturer in terms of both sensors and control systems.

Energy Savings

Before and after Myrspoven

Before Myrspoven

Energy companies’ tariff systems for electricity, heat and cooling have become more unstable and complex over time. In practice, this means that it has become more difficult to perform energy optimization at the lowest possible cost. 

With Myrspoven

Myrspoven’s solution enables forecasting of both energy costs and climate, which enables control adjustments that takes into account energy tariffs, flow and return penalty fees, price cuts and daily variations.

Before Myrspoven

There is no real control nor optimization on the energy usage. Indoor temperature fluctuates haphazardly without any planning implemented nor informed solutions.

With Myrspoven

Our customizable algorithms ensure indoor temperature is kept into a predefine range while taking into consideration outdoor temperature, building configuration, energy tariffs and other factors.

Indoor Temperature

Before and after Myrspoven

Before Myrspoven

There is no real control nor optimization on the energy usage. Indoor temperature fluctuates haphazardly without any planning implemented nor informed solutions.

With Myrspoven

Our customizable algorithms ensure indoor temperature is kept into a predefine range while taking into consideration outdoor temperature, building configuration, energy tariffs and other factors.

Before Myrspoven

There is no real control nor optimization on the energy usage. Indoor temperature fluctuates haphazardly without any planning implemented nor informed solutions.

With Myrspoven

Our customizable algorithms ensure indoor temperature is kept into a predefine range while taking into consideration outdoor temperature, building configuration, energy tariffs and other factors.

Our Clients and Partners

I find Myrspoven very competent and committed to the projects we have implemented.
Myrspoven's technology is innovative and a natural step forward in the technical development of our properties.

A bit unexpected, we do not only save energy, we have also got an improved indoor climate and learned about faults and weaknesses that we did not previously knew about regarding the heating system.

I believe in this technology! In addition, we are extra excited about taking part of the upcoming ADR-project about load shifting in collaboration with utility companies.

Kristian KarlssonKlövern

Myrspoven: The world’s most efficient flight

Why are we named after the myrspoven bird? When it comes to energy efficiency the myrspoven (limosa lapponica) is one of nature’s greatest innovators!

1
Longest Trip

Every winter, this little bird manages to fly roughly 11,000 kilometers nonstop from Alaska all the way to New Zealand, the longest known non-stop flight in the animal kingdom.

2
Myrspoven bird

The myrspoven manages to finish this large trajectory in less than 10 days, with an energy consumption of 2.2 kWh, displaying one of nature’s most impressive energy efficiency managements known to men.

3
QinetiQ Zephyr 7

The Zephyr 7 is a military grade aircraft. This airbus broke the official energy endurance world record after finishing a complete flight that lasted for a total of 336 hours, 22 minutes and 8 seconds.

4
Boeing 787-9 Dreamliner

The Boeing 787-9 Dreamliner is a commercial jet airliner engineered for energy efficiency, aiming for a 20% fuel burn reduction and being able to carry 200-300 passengers at the time.

Longest Trip

Every winter, this little bird manages to fly roughly 11,000 kilometers nonstop from Alaska all the way to New Zealand, the longest known non-stop flight in the animal kingdom.

Myrspoven bird

The myrspoven manages to finish this large trajectory in less than 10 days, with an energy consumption of 2.2 kWh, displaying one of nature’s most impressive energy efficiency managements known to men.

QinetiQ Zephyr 7

The Zephyr 7 is a military grade aircraft. This airbus broke the official energy endurance world record after finishing a complete flight that lasted for a total of 336 hours, 22 minutes and 8 seconds. Nonetheless, its flight is still -11 500 % less energy efficient than a myrspoven.

Boeing 787-9 Dreamliner

The Boeing 787-9 Dreamliner is a commercial jet airliner engineered for energy efficiency, aiming for a 20% fuel burn reduction and being able to carry 200-300 passengers at the time. Still, its flight is -23 000 % less energy efficient than the flight of a myrspoven.