Company identity
Company number 00598379
Company profile
UK company 00598379, incorporated on 4 February 1958.
Homepage | EQUANS UK & Ireland
Equans supports businesses, communities and the public sector by mobilising its expertise to provide low-carbon energy solutions the UK & Ireland.
Company number 00598379
Updated 07 Jul 2026 09:49
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Company registered at Companies House
3 Apr 2023 to 3 Jul 2023
1 Apr 2023 to 30 Jun 2023
**Net Zero Pioneer Manchester** will develop a detailed local plan to accelerate delivery of the City's net zero targets using an innovative place-based, whole-systems approach to unlocking a range of non-technical systemic barriers to implementation. Manchester City Council, with our partners Bankers Without Boundaries, Equans, Manchester Climate Change ...
1 Apr 2023 to 30 Jun 2023
Addressing global warming and meeting the UK's commitment to be carbon neutral by 2050, will require us to think very differently about how we generate, store, use and preserve energy. As well as increasing the amount of energy produced from renewable sources, this means organising energy systems differently and integrating these, reducing the need for en...
1 Jan 2021 to 31 Dec 2022
The Net Zero NW Cluster Plan will set out the transition to net-zero for industry in the North West of England and North East Wales. It will describe the investments, technologies, infrastructure changes and sequencing required to fulfil the UK's Industrial Clusters Mission. The project focuses on two key objectives: * Establishing a low-carbon industrial...
1 Mar 2020 to 31 Mar 2023
"Within the next 20 years, the former ENGIE Rugeley Power Station will be turned into a 2,300 dwellings mixed-use development. However, studies have shown that the distribution network has little capacity left, with the local distribution network operator already being forced to procure Demand-Side-Response Services. And this is expected to increase with ...
1 Nov 2018 to 31 Oct 2020
To improve the commercial outcomes of external and internal project portfolios via the application of data analytics, statistical and machine learning capabilities in order to prioritise resources effectively.