Kapacity.io is using AI to drive energy and emissions savings for real estate
| Y Combinator-backed Kapacity.io is on a mission to accelerate the decarbonization of buildings by using AI-generated efficiency savings to encourage electrification of commercial real estate — wooing buildings away from reliance on fossil fuels to power their heating and cooling needs.|
It does this by providing incentives to building owners/occupiers to shift to clean energy usage through a machine learning-powered software automation layer.
The startup’s cloud software integrates with buildings’ HVAC systems and electricity meters — drawing on local energy consumption data to calculate and deploy real-time adjustments to heating/cooling systems which not only yield energy and (CO2) emissions savings but generate actual revenue for building owners/tenants — paying them to reduce consumption such as at times of peak energy demand on the grid.
“We are controlling electricity consumption in buildings, focusing on heating and cooling devices — using AI machine learning to optimize and find the best ways to consume electricity,” explains CEO and co-founder Jaakko Rauhala, a former consultant in energy technology. “The actual method is known as ‘demand response’. Basically that is a way for electricity consumers to get paid for adjusting their energy consumption, based on a utility company’s demand.
“For example if there is a lot of wind power production and suddenly the wind drops or the weather changes and the utility company is running power grids they need to balance that reduction — and the way to do that is either you can fire up natural gas turbines or you can reduce power consumption… Our product estimates how much can we reduce electricity consumption at any given minute. We are [targeting] heating and cooling devices because they consume a lot of electricity.”
“The way we see this is this is a way we can help our customers electrify their building stocks faster because it makes their investments more lucrative and in addition we can then help them use more renewable electricity because we can shift the use from fossil fuels to other areas. And in that we hope to help push for a more greener power grid,” he adds.
Kapcity’s approach is applicable in deregulated energy markets where third parties are able to play a role offering energy saving services and fluctuations in energy demand are managed by an auction process involving the trading of surplus energy — typically overseen by a transmission system operator — to ensure energy producers have the right power balance to meet customer needs.
Demand for energy can fluctuate regardless of the type of energy production feeding the grid but renewable energy sources tend to increase the volatility of energy markets as production can be less predictable versus legacy energy generation (like nuclear or burning fossil fuels) — wind power, for example, depends on when and how strongly the wind is blowing (which both varies and isn’t perfectly predictable). So as economies around the world dial up efforts to tackle climate change and hit critical carbon emissions reduction targets there’s growing pressure to shift away from fossil fuel-based power generation toward cleaner, renewable alternatives. And the real estate sector specifically remains a major generator of CO2, so is squarely in the frame for “greening”.
Simultaneously, decarbonization and the green shift looks likely to drive demand for smart solutions to help energy grids manage increasing complexity and volatility in the energy supply mix.
“Basically more wind power — and solar, to some extent — correlates with demand for balancing power grids and this is why there is a lot of talk usually about electricity storage when it comes to renewables,” says Rauhala. “Demand response, in the way that we do it, is an alternative for electricity storage units. Basically we’re saying that we already have a lot of electricity consuming devices — and we will have more and more with electrification. We need to adjust their consumption before we invest billions of dollars into other systems.”
“We will need a lot of electricity storage units — but we try to push the overall system efficiency to the maximum by utilising what we already have in the grid,” he adds.
There are of course limits to how much “adjustment” (read: switching off) can be done to a heating or cooling system by even the cleverest AI without building occupants becoming uncomfortable.
But Kapacity’s premise is that small adjustments — say turning off the boilers/coolers for five, 15 or 30 minutes — can go essentially unnoticed by building occupants if done right, allowing the startup to tout a range of efficiency services for its customers; such as a peak-shaving offering, which automatically reduces energy usage to avoid peaks in consumption and generate significant energy cost savings.
“Our goal — which is a very ambitious goal — is that the customers and occupants in the buildings wouldn’t notice the adjustments. And that they would fall into the normal range of temperature fluctuations in a building,” says Rauhala.
Kapacity’s algorithms are designed to understand how to make dynamic adjustments to buildings’ heating/cooling without compromising “thermal comfort”, as Rauhala puts it — noting that co-founder (and COO) Sonja Salo, has both a PhD in demand response and researched thermal comfort during a stint as a visiting researcher at UC Berkley — making the area a specialist focus for the engineer-led founding team.
At the same time, the carrots it’s dangling at the commercial real estate to sign up for a little algorithmic HVAC tweaking look substantial: Kapacity says its system has been able to achieve a 25% reduction in electricity costs and a 10% reduction in CO2-emissions in early pilots. Although early tests have been limited to its home market for now.
Its other co-founder, Rami El Geneidy, researched smart algorithms for demand response involving heat pumps for his PhD dissertation — and heat pumps are another key focus for the team’s tech, per Rauhala.
Heat pumps are a low-carbon technology that’s fairly commonly used in the Nordics for heating buildings, but whose use is starting to spread as countries around the world look for greener alternatives to heat buildings.
In the U.K., for example, the government announced a plan last year to install hundreds of thousands of heat pumps per year by 2028 as it seeks to move the country away from widespread use of gas boilers to heat homes. And Rauhala names the U.K. as one of the startup’s early target markets — along with the European Union and the U.S., where they also envisage plenty of demand for their services.
While the initial focus is the commercial real estate sector, he says they are also interested in
“We have been focusing on larger buildings — multifamily buildings, larger office buildings, certain types of industrial or commercial buildings so we don’t do single-family detached homes at the moment,” he goes on, adding: “We have been looking at that and it’s an interesting avenue but our current pilots are in larger buildings.”
The Finnish startup was only founded last year — taking in a pre-seed round of funding from
prior to getting backing from YC — where it will be presenting at the accelerator’s demo day next week. (But Rauhala won’t comment on any additional fund raising plans at this stage.)
He says it’s spun up five pilot projects over the last seven months i
Aug 23th, 2021