ENIAN, a leading UK software developer for the renewable energy sector, has this week been awarded a £500,000 Smart Grant by Innovate UK to develop a new cost predicting algorithm set to accelerate the uptake of renewable energy across the country. The company will collaborate with the University of Edinburgh School of Engineering and The Data Lab over 19 months to develop and test the cost-of-interconnection prediction algorithm (CIPA), with the aim to digitise, automate and enhance the way that project planners estimate the cost of connecting a new power plant to the nearest available grid.
Currently grid connection costs are some of the most difficult to predict but make up a significant share of the total costs for generating new power. However grid owners and operators must adapt to a more flexible energy mix to accommodate more renewable energy sources, so they need to be able to provide rapid, data-driven estimates to project managers to give them confidence in their decision-making, improve cost efficiency and strengthen the resilience of the energy system from a planning point of view. For further information see the IDTechEx report on Distributed Generation: Off-Grid Zero-Emission kW-MW 2020-2040.
Phillip Bruner, CEO of ENIAN, says, "The highly variable but also significant costs of interconnection are some of the most critical to understand from an early stage. We've done a lot of research on what causes commercial solar and wind power plants to fail. It's often the case that developers get caught off guard by grid constraints or runaway costs. Thanks to Innovate UK, with machine learning and open access data, we can unlock a new cost-saving capability for the UK energy sector that will help accelerate the path to net zero."
Daniel Friedrich from the University of Edinburgh School of Engineering commented: "We're excited to continue the successful collaboration with ENIAN in this cutting-edge Innovate UK funded project which can make a real difference for the drive to net zero. This transition requires a massive increase in distributed renewable generation which needs to be fed into the grid and transported to the demand centres. We will use our expertise in network power flow models, geographic information-based systems and data-driven algorithms to streamline this process and to help unlock the full potential of the renewable energy sector in the UK."
Gillian Docherty, CEO at The Data Lab commented: "Never before has it been more pertinent for data-informed solutions to be brought to the energy market. With the ever-increasing need for energy supply as global populations rise, it is incredibly important that we scale our supplies in a clean and clever way, leveraging cutting edge data science to guide our approach."
The project will start in early December and will run until May 2022.
Innovate UK awards Smart Grants to the best commercially viable innovative or disruptive ideas.
For further information please contact Energy Public Relations: Mike Newby: Mike@energypr.co.uk Louise Findlay-Wilson: Louise@energypr.co.uk
ENIAN is a software spin-out of the University of Edinburgh School of Geosciences and the Department of Electrical & Electronic Engineering at Imperial College London. As former renewable energy professionals in investment and development they specialise in creating innovative data-driven software solutions to accelerate the path to net zero. They target the upfront 'soft' costs of renewable energy project management, improving competitiveness and profitability with digital technology. See www.enian.co .
About the University of Edinburgh School of Engineering
The University of Edinburgh (UoE) has a continuing track record of the highest levels of academic and research excellence and is consistently placed in the world's top 20 universities. The UoE is ranked 4th in the UK for research power in both main league tables, based on the most recent UK-based research assessment, REF2014. The School of Engineering (SoE) joint submission to REF2014 with Heriot Watt University was assessed as the "highest Research Power" to any Engineering sub-panel, with GPA of 3.30. The Institute for Energy Systems (IES) within the SoE has been at the forefront of power system and renewable energy research for more than 40 years and enjoys a worldwide reputation in collaborative research. The IES co-hosts the EPSRC centre of national importance, CESI (EP/P001173/1), a £24M investment from the public and private sectors (EPSRC contribution is £5M).
About The Data Lab
The Data Lab is Scotland's innovation centre for data and AI. Through hubs in Edinburgh, Glasgow, Aberdeen and Inverness, we foster innovation through collaboration, build skills and grow talent, and champion Scotland's data science community. We help Scotland maximise value from data and lead the world to a data-powered future.
Source: Energy PR