Habitat Energy is to optimise three energy storage sites owned by the Gresham House Energy Storage Fund.
Through its Power IQ platform, Habitat will use an algorithmic and machine learning approach to “maximise” the value of 74MW of Gresham’s storage assets across wholesale markets. It will also manage the degradation of the assets to extend their lives.
The sites set to be optimised are a 49MW project located at the Red Scar Business Park outside Preston, a 20MW project in Wiltshire and a 5MW project in Wolverhampton.
Habitat’s proprietary software allows for real-time trading, forecasting and asset modelling to enable participation in wholesale, balancing and ancillary service markets.
Andrew Luers, CEO of Habitat Energy, said the company is “delighted” to be working with Gresham to accelerate the deployment of “much needed” flexible power assets.
“Our aim is to provide unique insight for a unique asset class and add value in the short- and long-term for our clients. We share Gresham’s enthusiasm and sense of purpose for the opportunities available in the next few years,” Luers continued.
Habitat landed a contract to manage a 40MW battery in August 2019 for Arlington Energy.
Gresham House has penned similar agreements with Flexitricity, KiWi Power and EDF Energy prior to today’s announcement, and has recently made several acquisitions of grid-scale storage projects.
Ben Guest, managing director of new energy at Gresham House Asset Management and manager of Gresham House Energy Storage Fund, said that Habitat’s trading acumen and algorithmic trading approach gave the fund “real confidence” that it can help the Gresham achieve its target revenues.
Several asset optimisation deals have been made recently. Earlier this month, Ørsted announced it has appointed REMAP as its marketing agent for its UK flexible generation and revenue optimisation services, allowing it to provide project development support to third party developers and asset owners.
Last year, Open Energi announced its partnership with Zenobe Energy for the automated trading and optimisation of the latter's grid scale Hill Farm battery.