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OVO Energy-backed Kaluza taps up Google Cloud for carbon-negative push

SaaS-based energy tech platform provider sets out how it really is using Google Cloud to greatly help achieve its goal to become carbon-negative by 2030

Caroline Donnelly


Published: 18 Aug 2022 9: 00

OVO Energy-backed technology platform Kaluza has revealed information on how it really is using Google Cloud to underpin its push to become carbon-negative entity by 2030.

Kaluzas software-as-a-service (SaaS) platform was created out of OVO Energy in 2019 and comes under licence to other energy retailers to allow them to provide customers with real-time billing information and smart grid services.

The firm claims its technology platform might help customers cut costs on the energy bills, while also providing them with the insights they have to curb emissions generated by their households electricity usage, heating habits and usage of transportation.

In addition, it has another product in its portfolio, referred to as Kaluza Flex, which uses algorithms to choose when far better charge an incredible number of smart devices so they are employing energy when it’s at its cheapest and greenest.

As detailed in a post authored by Tom Mallett, sustainability manager at Kaluza, the business isn’t just focused on helping its customers achieve their green goals, but in addition has set itself a target to become carbon-negative by 2030.

By 2030, you want to steer clear of the production of 10 million a great deal of CO2 by reaching 100 million energy users and reducing our energy retail clients cost to serve by 50% and thats only the 1 / 2 of it, wrote Mallett.

As were accelerating the power transition for the customers, we also desire to drastically reduce our very own emissions. As the world is rushing towards net zero, were going one step further investing in be carbon-negative by 2030.

To greatly help the business achieve its goal, it is rolling out an in-house carbon footprint-tracking tool that allows it to help keep track of the environmental impact of its cloud usage.

Our teams may use our carbon emissions tool to essentially dig into the granularity of the info, said Mallett. This permits them to comprehend what drives their carbon footprint and how exactly to address it. Which is where things get interesting, because better data results in actual sustainability projects.

Among these may be the firms Green Software Development initiative, which includes culminated in the creation of a handbook that delivers best practice advice and guidance to Kaluzas in-house software developers and engineers on how best to write greener code and apps.

Additionally it is helping the business to minimise environmentally friendly impact of its cloud infrastructure, that is comprised of products from the amount of different providers, including Google.

Our technology stack spans a multicloud estate, in fact it is especially an easy task to get emissions data from Google Cloud Applications, said Mallett.

The reason being Google includes a carbon footprint-tracking tool of its which allows users of its cloud technologies to measure, report and reduce their emissions, and visualise them using various dashboards and charts.

For each process we tell you Google Cloud, we get half-hourly electricity usage information, enabling us to indicate the precise carbon emission of each process we operate on Google Cloud, said Mallett.

These insights have helped us shape Kaluzas own carbon footprint tool, which we use to pull together information from our cloud providers inside our multicloud setup, and create a lot more effective dashboards, which includes been invaluable for the data teams.

With this point, Mallett said the firm is using Googles emissions data for more information concerning the environmental impact of its workloads. By combining these details with carbon-intensity data from the grid, we are able to identify and reschedule workloads to lessen intensity times, and also have a positive effect on Kaluzas emissions, he said.

Fortunately, Google Cloud publishes carbon data for several cloud regions. This consists of the common percentage of carbon-free energy consumed for the reason that particular location on an hourly basis and the grid carbon intensity of the neighborhood electricity grid. By digging in to the data, we are able to identify cloud waste and do something.

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