This blog, as part of the Rethinking Electricity Markets project, describes a framework methodology and metrics that can be used to estimate the full set of cost and benefits associated with a wide range of low/zero carbon technologies, including generation, storage, interconnection, demand reduction and demand response.
The UK has made great progress in decarbonising electricity over the past decade. Tackling transport and heat will be next, where the potential of digitalisation will be crucial. Policymakers face a raft of challenges. Energy Systems Catapult believes the architecture of the energy system requires a rethink. Strategy and Performance Director Guy Newey explains.
One of the key global investment trends over recent times has been the record growth of sustainable finance. Covid-19 has influenced this market as there is a clear drive to build back greener and fairer to support economic recovery.
The Energy Launchpad International will select up to eight SMEs aiming to export smart energy innovations to receive acceleration support in preparation for a virtual mission to India and Thailand. The India & Thailand Innovator Challenge is supported by the Prosperity Fund at the Department for Business, Energy & Industrial Strategy (BEIS), and in partnership with the Foreign, Commonwealth & Development Office (FCDO) and the Department for International Trade (DIT).
Energy Systems Catapult and five local authorities in Greater Manchester have won funding for a pioneering clean energy project – that will develop 10 renewable schemes across the city – and create a blueprint that can be replicated in other regions across the UK aiming for Net Zero carbon emissions.
The Flexibly-Responsive Energy Delivery project, led by Evergreen Smart Power, is testing a software platform that provides Demand Side Response (DSR) by integrating and managing energy technologies in real time, reacting to grid conditions to increase or reduce their electricity consumption. This report summarises consumer insights on electric vehicle charging and DSR based on five participants from the FRED project.
Local Energy Asset Representation (LEAR) pulls together information on energy generation, storage and distribution assets, social factors like fuel poverty and characteristics like building types and local geography using data analysis and aspects of machine learning. It enables planners and innovators to strategically decide how they might deploy and grow low carbon businesses.
Levelise cofounder, Iván Castro, recalls how his small R&D project transformed into a 13-strong business, and how the Innovator Support Platform helped simplify their message to customers and take a strategic view of the future.