Four smart tariff projects win DESNZ funding

Four projects have won funding from the Department for Energy Security and Net Zero’s Alternative Energy Markets innovation programme.
They are:
Chameleon Alternative Market for Energy Assessment
In this £497k project Chameleon Technology, Evergreen Energy, Green Energy (UK) Ltd, Solo Energy Limited, and Energy Systems Catapult propose to leverage their experience in consumer engagement, home energy optimisation and energy smart appliances. They will design, evaluate and iterate a number of flexibility propositions and test these against potential future energy market scenarios. They will then define a large-scale trial to demonstrate their proposal in both simulated (via the living lab) and real-world environment in customer homes in Phase 2.
Designing alternative energy market options through novel simulations
In this £500k project Energy Systems Catapult and OVO Energy Ltd will work with CEPA, to design domestic flexibility propositions under potential alternative energy markets. They will combine low carbon distributed energy assets and other smart energy innovations in a range of consumer segments building in tariffs, products and services.
Flexibility Assets and Smart Homes (FLASH)
In this £376k project EDF Energy (via its R&D UK Centre and EDF Energy Customers Limited),
LCP Delta and Landis+Gyr Ltd will support households in reducing their peak energy demand through assessing the value that new low carbon technologies, storage product bundles and bespoke tariffs can provide to consumers at a domestic level. Structured consumer focus groups will be held throughout the feasibility study to capture insights and perspectives and to inform future propositions.
Intelligent Smart Energy Engine (ISEE)
This £487k project has eight participants: Solo Energy Limited, Engage Consulting Ltd, Evergreen Energy, MyUtilityGenius Commercial Ltd, Samsung Electronics UK, Hugo Technologies Ltd, Rebel Energy Supply Limited and Shell Energy Retail Limited
It will assess five alternative energy market scenarios and plans to build a tariff proposition engine that uses half hourly data from smart meters, combines this with details on energy smart appliances and optimises a tariff structure using intelligent systems to control the appliances.

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