• Energy Research
• 2025-2025close

WHO WE ARE? BERIDI is a spin-out company of Berenguer Ingenieros, founded in 2018, as the division of the group specialized in the offshore wind energy sector. Our group is a leading seashore engineering firm, which has worked in more than 1,200 projects in Spain and LATAM, including + 40 multimillion projects. THE PROBLEM: EU must install 230-450 GW new offshore capacity before 2050 to fulfil the Green Deal Goals. but current space available in shallow imposes a limit of 112 GW. Only new floating platforms can help EU fulfil its objectives, but the installation of floating turbines is still technically challenging, very expensive and highly time-consuming, especially for the largest turbines (>15 MW). THE SOLUTION: We have patented a new floating technology that enables the safest and most efficient (time, costs and performance) installation of turbines in deep waters. ARCHIME3 is, to the best of our knowledge, the only technology today that will enable the installation of the largest turbines (15-20 MW) in deep waters in an efficient and safe manner. MARKET OPPORTUNITY: The market opportunity at a global level for now to 2030, reaches more than €20 Billion. Just by achieving a market penetration of 10%, our market opportunity can reach €2 Billion from now until 2030. Our financial projections for 2026, when we expect to have installed our first wind farm (400 MW), would mean €44M of cumulated turnover, €20M of cumulated EBIDTA and close to €240M of company value, meaning a x13 ROI for the investment (2.4 M Grant + 4.8 M equity) requested to the EIC for this project.

A central focus of leading investigations, the bulk photovoltaic effect is a nonlinear absorption process that converts light into electrical current intrinsically. The last few years have brought groundbreaking discoveries to the field, including an unprecedented enhancement of the photoresponse driven by a combination of topology and third-order electric-field effects, as well as the first material realization of solar-cell efficiency exceeding the upper-limit of current devices. The nonlinear mechanism is thus in an excellent position to revolutionize the field of solar-cell technologies by opening a fundamentally new route towards highly efficient third-generation photovoltaics. Reaching this landmark requires both a fundamental understanding and a systematic search of materials. In this scenario, first-principles calculations based on density functional theory must play a central role in coming years due to their innate ability to deliver microscopic and material-specific predictions. A first-principles description of nonlinear responses, however, is very complex and contemporary methods need to go far beyond the state-of-the-art for modelling central effects such as third-order contributions. PhotoNow aims at filling this critical gap by developing a first-principles method that correctly incorporates these effects, giving unprecedented access to crucial properties like the energy conversion efficiency. Our methodology will rest upon a Wannier-function technique adaptable to any material, crystallizing in a free software interdisciplinary tool aimed for physicists, chemists and engineers. This major development will allow us to achieve our central goal, namely discovering and characterizing outstanding materials for nonlinear photovoltaics. PhotoNow will carry out a systematic analysis of a wide variety of materials including Weyl semimetals, ferroelectrics and distorted semiconductors, delivering key microscopic understanding and guiding future discoveries.

Wind energy currently produces 18% of the UK's power but, in a drive towards a de-carbonised economy by 2050, this proportion must increase substantially over the next decade. The UK government has committed to increase offshore wind power capacity by 1-2 GW per year until 2030, reflecting the fact that the country contains some of the best locations for offshore wind in Europe. As the UK becomes more reliant upon wind energy, it is of increasing importance to improve both the efficiency and reliability of wind farms. Since wind turbines which lie in the wakes of upstream machines produce less power and experience higher fatigue loading than those upstream, there is scope to achieve this goal by improving our ability to predict the wakes generated by wind turbines and thereby design an optimally laid out wind farm given knowledge of the prevailing wind conditions. Our ability to optimise wind farms is currently hampered by an over-reliance on out-of-date empiricism. This proposal seeks to rectify this by developing physics-based modelling tools to better describe individual wind-turbine wakes as well as the interactions between interacting wakes within a wind farm. Offshore wind farms are particularly amenable to optimisation due to the stability of the prevailing wind conditions in comparison to onshore sites. Optimal spacing of wind turbines revolves around several factors. These are the desire to produce as much power as possible from a given site whilst at the same time minimising maintenance costs in response to fatigue damage caused by turbines sitting in the highly unsteady, turbulent wake of an upstream machine. This requires confident prediction of the spreading of wind turbine wakes plus a methodology to estimate the fatigue lifetime of wind turbine components in response to their predicted inflow conditions. In addition, there is the problem of predicting the global blockage in which the wind farm as a whole has the effect of diverting the wind over/around the wind farm meaning that the true inflow wind speed to the farm is not the same as the prevailing wind. Specifically, we will: 1. Perform innovative experiments in order to better understand the flow physics underpinning the spreading of turbulent wakes. This will involve exploring the interactions in the near wake between the coherence introduced at multiple length scales simultaneously by, for example, the tower, nacelle and blade-tip vortices. In addition we will explore the physics behind the spreading of the produced wake due to the phenomenon of entrainment, which is the process by which mass/energy is transferred from the background into the wake. In particular we will focus on the effect of atmospheric, and wake, turbulence on entrainment. 2. Take this new physical understanding and translate it into a physics-based model for the spreading of an individual wind-turbine wake. 3. Devise a methodology to make accurate predictions for the fatigue lifetime of vulnerable wind-turbine components (e.g. the gear box/trailing edge bond etc.) in response to the fluctuating inflow caused by atmospheric/wake turbulence. 4. Produce a model to correct for the global blockage that an entire wind farm represents to the oncoming wind. 5. Finally, develop a low-cost, physics-based wind farm optimisation tool and disseminate it to the UK's wind-energy sector. The model will take as inputs the details of the turbines to be erected, the atmospheric conditions at the specified site and the agreed strike price/MWh to be paid for the generated power. The output will be the optimal number and layout of wind turbines for an efficient offshore wind farm. We have attracted three partners from across the wind-energy sector who will play a vital role in ensuring that the output of this research is disseminated to the key stakeholders in the UK in a form that can be implemented by the industry straight away.