Energy neutral by 2050: AI is helping to balance supply and demand

Thema:
Artifical intelligence

The whole of the built-up environment energy neutral by 2050. No more natural gas for residential or non-residential buildings. That is the destination we are aiming for, but it will be an enormous challenge. To achieve the targets set down in the Dutch Climate Agreement, we people could certainly use some assistance from artificial intelligence (AI).

Around 90 percent of homes in the Netherlands are connected to the natural gas network. However, this will change dramatically over the next three decades, which means we will have to find other ways to heat our homes. This will be a huge operation that will have a marked impact on built-up areas.

A lot of energy and not much demand (or vice versa)

At the same time, we are facing a different challenge, namely that our electricity grids are having to cope with ever-greater peak loads. This is because a lot of renewable energy is generated at certain times, mostly from the sun and the wind. In those circumstances, there is then a greater level of supply than demand. Conversely, there are times that we need more power precisely when little renewable energy is being generated.

Preventing peak loads, thanks to AI

We therefore need to head towards a situation in which we have more control over energy flows. That is why TNO is developing models for buildings which, with the help of AI, have greater control over users’ behaviour.

Firstly, the models help predict a building’s energy consumption and how much renewable energy it generates. But much more importantly, merging the models means that supply and demand can be balanced out at the level of an individual district. In this way, we can deploy artificial intelligence to help solve the problems of peak loads.

More accurate predictions at district level

All being well, the TNO models will soon be capable of predicting demand for energy in the next 8 to 24 hours at district level. They will of course have to be more accurate than the tools that are currently used.

Organisations responsible for managing electricity supplies at district level will then be better placed to anticipate any predicted fluctuations in supply and demand. And because they will know at an earlier stage how much energy they have to buy in, they will also be able to save on their procurement budgets. The models can also be used to predict other aspects, such as the state of maintenance and indoor environments, so that maintenance and management activities can be organised on a planned, rather than ad hoc, basis.

Putting theory into practice

A good example is the Syn.ikia project in Uden. Here, the housing corporation and contractor are going to build an apartment complex. The complex will produce energy.

As well as TNO, many other parties are also involved, including the Area housing corporation and the contractor, Hendriks Coppelmans. Working in partnership with heat pump manufacturer Itho, heat pumps will be read remotely for the purpose of monitoring the supply of and demand for energy at district level, in order to subsequently achieve a balance.

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Rob de Wijk on the rise of AI in geopolitical context

Informatietype:
Insight
27 September 2022

Anne Fleur van Veenstra, director of science at TNO’s SA&P unit, interviews Rob de Wijk, emeritus professor of international relations in Leiden and founder of The Hague Centre for Strategic Studies. Rob is also a much sought-after expert who appears on radio and television programmes. What does the rise of AI mean geopolitically and in armed conflicts?

Bram Schot on the impact of AI on mobility

Informatietype:
Insight
27 September 2022

Marieke Martens, science director at TNO and professor of automated vehicles at the Eindhoven University of Technology, talks to Bram Schot. Schot was the CEO of Audi until 2020, having previously held management positions at various car makers, including Mercedes and Volkswagen. Their conversation concerns the influence of AI on mobility. How will AI impact the production process? And what does a future with autonomous vehicles look like?

Eppo Bruins on AI in different government domains

Informatietype:
Insight
27 September 2022

Michiel van der Meulen, chief geologist for the Geological Survey of the Netherlands (GDN), speaks with Eppo Bruins. Bruins was educated as a nuclear physicist and has spent many years working in the world of science, innovation, and technology. Between 2015 and 2021, he was a Dutch member of parliament for the Christian Union. He was recently appointed chairman of the Advisory council for science, technology and innovation (AWTI). What will AI mean for the various government domains in the coming years?

Bas Haring on AI, science and philosophy

Informatietype:
Insight
27 September 2022

Michiel van der Meulen, chief geologist for the Geological Survey of the Netherlands (GDN), speaks with Bas Haring. Haring originally studied artificial intelligence, which at the time still fell under the umbrella of philosophy, which is why people started calling him a philosopher. He himself feels more like a ‘folk philosopher’: Haring tries to make science and philosophy accessible to a wider audience. In 2001, he published a children’s book about evolution, Cheese and the Theory of Evolution. What better springboard for a geologist and a philosopher to talk about AI?

Arnon Grunberg on AI, creativity and morality

Informatietype:
Insight
27 September 2022

Peter Werkhoven, chief scientific officer at TNO, talks to Arnon Grunberg from his base in New York. Grunberg made his breakthrough in 1994 with his novel, Blue Mondays. He has since become one of the Netherlands’ best-known authors. The two talked about AI over dinner some years ago. Today, they finally get the chance to continue their conversation. What is Grunberg’s view on creativity? Can it be taught to machines? And how do humans morally relate to machines?