Nextracker’s Aron Dobos and Neelesh Umachandran explore the risk posed by tracker terrain loss to asset performance and revenue, as well as the potential remedies to the problem for large-scale solar development.
Octopus Investments Australia has deployed Fluence’s AI-powered trading platform to optimise the output of its 333MW Darlington Point Solar Farm in New South Wales (NSW).
Unreliable methods of calculating irradiation in Africa could slash energy savings for commercial and industrial (C&I) solar buyers and reduce investment returns for developers and investors, new research has suggested.
Amidst a need to scale up solar this decade, PV Tech Premium speaks to Vassilis Papaeconomou, managing director at renewables service provider Alectris, to learn how the solar industry can scale up efficiently, what asset owners and operators need to be aware of when buzzwords such as ‘digitalisation’ and ‘artificial intelligence’ are mentioned, and what the industry might learn from more mature technologies such as wind.
A round-up of the latest news from the US solar market, featuring Vision Solar’s commitment to hire “hundreds” of sales staff as part of a two-state expansion, Recurrent Energy’s sale of two major assets in Texas and news of 8minute Solar Energy strengthening its legal team.
Boris Farnung and Keith Punzalan of VDE and David Moser of EURAC’s Institute for Renewable Energy take a look at the positive impact comprehensive quality assurance measures can have on the early stage of a project’s lifespan, exploring yield assessments, LCOE projections and the critical need for high quality components.
As solar continues to proliferate and spread into new markets, the technology is finding itself operating in tougher climates than ever before. PV Tech talks to research institute QEERI to learn more about the heightened risk of soiling in the desert, the growing prominence of abrasion and some surprising results from temperature coefficient testing.
The US solar industry could face significant losses this summer unless steps are taken to mitigate wildfire risk over the coming months, renewables underwriter GCube has warned.
Machine learning techniques have been used in a study to boost the accuracy of renewables forecasts by up to 45%, helping improve grid operations in Australia.
