Nord Energi Net chooses Asset Life to optimize investments and make N-1 calculations. It’s with great pleasure that Utiligize can announce, that Nord Energi Net A/S has chosen Asset Life to optimize investments, estimate future loading and adapt N-1 calculations as part of operating the electric distribution grid in the Northern part of Jutland.
Utiligize is delighted to introduce Dinel A/S as a new customer of Asset Life. Dinel, who operates an electric distribution grid in the Eastern part of Jutland, will be using the Forecast & Investment module to estimate existing and future loading in their low, medium and high voltage grids.
Electrification of society will be expensive if utilities don’t make smart investment and maintenance decisions. Utiligize provides a forward-looking software tool that forecasts investment and flexibility needs based on scenarios for the growth of DERs in the coming decades.
In 2021 Ofgem (Office of Gas and Electricity Markets, the regulator in Great Britain) released the new updated CNAIM 2.1 version. In short CNAIM is an asset failure risk assessment model following the ISO 55000 standard based on the United Kingdom’s electricity distribution.
Veksel A/S who operates the electrical grid of Langeland, has purchased Utiligize’s Asset Life platform, in particular the Forecast & Investment tool to optimize investments to efficiently expand the grid.
We are very happy to expand our team and are welcoming Daryna Shybaieva, Kenneth Røsland Rosenørn, Sergey Klyapovskiy, Kristian Thy and Jens Knudsen to Utiligize. Daryna or ‘Dasha’ comes with unique experience from Ukraine where she led a team of GIS professionals, IT development- and IT infrastructure teams and is our infrastructure engineer.
There is great potential in increasing the efficiency of district heating consumption-, distribution- and production by managing district heating users’ consumption more intelligently. Optimized control of district heating units can improve energy efficiency in households and provide better cooling of the return temperature in the district heating system, thus reducing heat loss.
Eviny Ventures – a subsidiary of the Norwegian energy company Eviny – plus the privately owned Danish venture fond, 2L Holding, buys equity in Utiligize of close to 2M€, securing an ownership of approximately 11% each.
As electric utilities plan for a tsunami of electric vehicles and heat pumps, and a fresh boom of onshore wind and solar farms, it is interesting to look at the grid’s basic features: value and age.
Electric utilities are under enormous pressure to modernise their business practices and support electricifcation of transport, heating and industrial processes. At Utiligize, we optimize daily operations through data-driven decision making and present it to users through an intuitive dashboard and mobile app that provides task management, time registration, document management and a form-building tool.
Danish version here (Dansk version her). TREFOR El-net has chosen Utiligize’s software, Asset Life, to provide a complete overview of their current network loading and forecast of future loading considering different green transition scenarios.
At Utiligize, we’ve spent the last couple of years fine-tuning our asset management software to minimise costs for utilities. Losses are a key driver of costs, whether you operate a gas, water, heating or power network.
The Danish Energy Agency today published our report on how distributed energy resources (DERs) like electric vehicles (EVs), heat pumps and solar panels will impact the distribution grid in Denmark.
The green transition will require significant investment in utility infrastructure. Many countries have restrictive income caps or fixed tariffs that do not allow for investment to support the electrification of transport, heating and agricultural processes.
This white paper discusses a data-driven approach to investments, maintenance and containing risk, using forwarding looking asset management for utilities. Download a copy here.
We are extremely proud of Jules Truong, who finished his Master Thesis under Utiligize’s and Professor Pierre Pinson’s supervision. He applied machine learning to forecast production and consumption on Evonet’s (now merged into N1) network – from high to low voltage.