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Making indoor environments healthier with AI and self-powered sensors

Introduction

Incorporating AI and self-powered sensors, such as 'Ben', has the potential to revolutionize indoor environments, while also adhering to Swedish standards for establishing healthier and more sustainable work and learning spaces.

This article delves into how these technologies are elevating indoor air quality, comfort, and energy efficiency in indoor settings.

Addressing Rising Temperatures in Indoor Environments

Climate change in Europe has led to a rise in indoor temperatures, posing significant health risks for elderly individuals and impairing cognitive function and learning performance for students.

The heatwave of 2018 in Sweden, for example, was associated with an 11% increase in mortality among older people. These facts highlight the importance of implementing measures to mitigate the effects of climate change and protect vulnerable populations in indoor settings.

Sustainable Sensor Technology: 'Ben'

Ben is a sustainable sensor technology demonstrator developed through a collaboration between the Swedish companies Epishine, Ynvisible Production, and Ligna Energy. It is made using eco-friendly materials and production methods like printed electronics and organic, bio-based materials.

This self-powered device measures CO2 levels, temperature, and humidity, and uses energy harnessed from indoor solar cells and supercapacitors. It could potentially play a significant role in maintaining optimal indoor air quality.

Swedish Standards for Indoor Air Quality

Sweden has set a benchmark for indoor environments with its SWEDVAC standards, established in 2007. These guidelines specify maximum acceptable CO2 levels in two air quality classes, AQ1 and AQ2, at 800ppm and 1000ppm respectively. Beyond CO2 levels, the standards also address thermal climate, indoor air quality, sound, and light – all essential elements for a conducive learning environment.

AI for Indoor Air Quality, Comfort, and Energy Efficiency

AI-driven solutions are at the forefront of optimizing indoor environments:

BrainBox AI: This technology combines deep learning with cloud-based computing for HVAC systems, reducing energy costs by 25-35% within three months. It's a step forward in the green building movement and is particularly relevant for educational institutions looking to improve sustainability. More about BrainBox AI can be found here.

Optimizing charges and adding value to rented properties can help commercial real estate (CRE) resist recession. Smart control of heating, ventilation, and air conditioning (HVAC) is potentially a good tool for this purpose. More info here.

Conclusion

Combining AI technologies like BrainBox AI with sustainable sensors such as 'Ben' is not just transforming indoor management; its implementation could align with Swedish standards for healthier, more sustainable indoor environments.