Optimize building
energy-usage with AI

Optimize building
energy-usage with AI

+1000

Byggnader igång

15

How often we calculate a new optimization for all buildings

1027

Byggnader igång

15

How often we calculate a new optimization for all buildings

1%

Myrspoven’s vision

 Vår vision är att globalt bidra till fastighetsbranschens minskning av koldioxidavtrycket från icke-förnybara kWh med 1 %

How myCoreAI 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

Artificiell intelligens

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 myCoreAI 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.

Du är i kontroll

Bästa inomhusklimatet

The customer is able define the indoor climate. myCoreAI 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

Unika insikter

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.

Artificiell intelligens

Energi prognoser

myCoreAI 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.

Generiska och skalbara lösningar

Enkelt att implementera

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

Energibesparing

Before and after myCoreAI

Before myCoreAI

Energibolagens tariffer för el, värme och kyla har blivit allt mer ostabila och komplexa med tiden. Detta innebär i praktiken att det har blivit svårare att utföra energioptimering till lägsta möjliga kostnad. 

With myCoreAI

Myrspovens lösning möjliggör en prediktivstyrning av både energikostnader och klimat, vilket möjliggör justeringar av styrningen som tar hänsyn till energitaxor, flödes- och returavgifter, prisknuffar och dagliga variationer.

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.

Inomhustemperatur

Before and after myCoreAI

Before myCoreAI

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

With myCoreAI

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

Jag tycker att Myrspoven är mycket kompetenta och engagerade i de projekt vi har genomfört.
Myrspovens teknik är innovativ och ett naturligt steg framåt i den tekniska utvecklingen av våra fastigheter.

Lite oväntat sparar vi inte bara energi, vi har också fått ett förbättrat inomhusklimat och lärt oss om fel och svagheter som vi tidigare inte kände till när det gäller värmesystemet.

Jag tror på den här tekniken! Dessutom är vi extra glada över att delta i det kommande ADR-projektet om lastförskjutning i samarbete med energibolag.

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.

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