It is winter in the northern hemisphere and summer in the southern hemisphere. It’s time heat or cool rooms, respectively, with all the energy costs that this entails. In fact, in the case of cooling, it is calculated that this corresponds to 15% of total world energy consumption. This represents a significant economic cost at a time when energy is becoming more expensive every day. But, in addition, it very significantly contributes to global warming and subsequent changing of the climate. Therefore, many scientists are focused on finding ways cool buildings without wasting energy. Curious products such as the whitest paint in the world have been developed for this. But they also developed window coverings with amazing insulating ability.
The latter is part of a study recently published in ACS Energy Letters Scientists from Kyung Hee University in South Korea. In this study, they describe how they used physics of materials, artificial intelligence and quantum computing find the ideal material for window insulation.
This combines all the characteristics that an ideal insulator should have. So much so that they figure out what it can save 31% energy more than the coatings currently used on the market.
What should be the ideal window insulation?
Perfect for keeping your home cool in hot weather prevent the passage of radiation solar panels that could heat it up. ultraviolet and near infrared radiation These are the two materials that usually go through glass, no matter how much insulation is used in windows.
It is known that there are materials that can effectively block this radiation. But they also block visible light and that’s what we don’t want when we talk about windows. Therefore, an ideal insulating coating should block this radiation while allowing visible light to pass through. In addition, it is convenient that you can radiate heat from the surface of the window at a wavelength that travels through the atmosphere into outer space.
Given these conditions, the authors of this study took a number of generally accepted materials, among which were silicon dioxide, silicon nitride, aluminum oxide or titanium dioxide. All of them were placed on a glass base topped with polydimethylsiloxane film. They knew that the key must be in this combination, but they needed to know the order and thickness of each layer. So they turned to artificial intelligence and quantum computing.
Artificial intelligence to save energy in summer
Thanks to the model machine learning artificial intelligence and quantum computing that store data using subatomic particlescould be tested all possible combinations in just a fraction of a second.
The result was an insulating coating known as transparent radioactive coolerswhich is far superior to those currently on the market. This, as explained by the authors in the statement, would be very useful both for covering house windows in places that are too hot and dry for cars and trucks. Very high temperatures can be reached in these vehicles, which also requires the use of air conditioning. Thanks to this insulator, additional savings can be achieved in this regard.
So far, the results of the models have been very positive. Now we’ll have to see if it’s easy and profitable. produce on a large scale this is the cover. If yes, then this could be a good way to save money in the summer and, of course, a new weapon against climate change.
Source: Hiper Textual
