• Energy Research
• 2020 close

Production of a prototype internal blade inspection system for use inside Offshore Wind Turbine blades including a cost benefit analysis.

Wind energy is the fastest growing renewable energy source in Europe, accounting for 10.2% of total electricity in 2015, however there is still a need to reduce the overall cost of energy – CoE to increase its competitiveness. The capital costs represents 78% of CoE and can be broken down into several categories, with around 54% attributable to wind turbine, from which the blades represents 30%. CoE can be reduced by maximizing energy production for the site by installing larger turbines. However, as the length of current rotor blades increase, their associated cost and weight increase at a faster rate than the turbine’s power output. Furthermore, as blades get longer they are becoming increasingly more difficult to manufacture and transport setting the limit at 90m. Winfoor (WF) and Marstrom (MC) aim to pursue this market opportunity by bringing to market its innovative and ground-breaking blade technology – Triblade. Triblade is a “3-in-1” modular blade, built as a Composite Material Truss that will allow rotor blades to be longer (up to 50%), stiffer (up to 290%) and lighter (up to 78%), whilst reducing around 65.2% production costs and increasing ease of transport and installation resulting in up to 15.5% CoE reduction. These are game changing improvements that can play an important role in driving the development of next generation of larger turbines and accelerate the transition to greater use of renewables worldwide. TRIBLADE project is expected to significantly enhance WF&MC’s profitability, with expected accumulated revenue of €85M and profits of €40M, 6 years after commercialization. Moreover, the successful achievement of TRIBLADE objectives is expected to assist Europe in achieving objectives to secure a sustainable energy system based on a low-carbon electricity from wind. This project will therefore entail increased competitiveness for the SME value chain and for the EU as a whole.

Tackling climate change, providing energy security and delivering sustainable energy solutions are major challenges faced by civil society. The social, environmental and economic cost of these challenges means that it is vital that there is a research focus on improving the conversion and use of thermal energy. A great deal of research and development is continuing to take place to reduce energy consumption and deliver cost-effective solutions aimed at helping the UK achieve its target of reducing greenhouse gas emissions by 80 per cent by 2050. Improved thermal energy performance impacts on industry through reduced energy costs, reduced emissions, and enhanced energy security. Improving efficiency and reducing emissions is necessary to increase productivity, support growth in the economy and maintain a globally competitive manufacturing sector. In the UK, residential and commercial buildings are responsible for approximately 40% of the UK's total non-transport energy use, with space heating and hot water accounting for almost 80% of residential and 60% of commercial energy use. Thermal energy demand has continued to increase over the past 40 years, even though home thermal energy efficiency has been improving. Improved thermal energy conversion and utilisation results in reduced emissions, reduced costs for industrial and domestic consumers and supports a more stable energy security position. In the UK, thermal energy (heating and cooling) is the largest use of energy in our society and cooling demand set to increase as a result of climate change. The need to address the thermal energy challenge at a multi-disciplinary level is essential and consequently this newly established network will support the technical, social, economic and environmental challenges, and the potential solutions. It is crucial to take account of the current and future economic, social, environmental and legislative barriers and incentives associated with thermal energy. The Thermal Energy Challenge Network will support synergistic approaches which offer opportunities for improved sustainable use of thermal energy which has previously been largely neglected. This approach can result in substantial energy demand reductions but collaboration and networking is essential if this is to be achieved. A combination of technological solutions working in a multi-disciplinary manner with engineers, physical scientists, and social scientists is essential and this will be encouraged and supported by the Thermal Energy Challenge Network.

Understanding and controlling the growth of mesocrystalline for novel photoactive materials. This project aims to design new functional materials by directing the assembly of light harvesting quantum dots and n-type oxide materials to produce novel photoactive materials. Surface spectroscopic techniques will be used to investigate the interaction of bifunctional ligands with oxide and sulphide/selenide materials. Molecules which are found to bind strongly between these two types of materials will then be used as linkers to build up materials composed of regular arrays of nanocrystal materials. It is envisaged that the correct choice of ligands will allow self assembled arrays to be grown with efficient charge transfer between the quantum dot and oxide nanoparticles, producing materials with potential applications in solar energy and photocatalysis. ________________________________

Operation & Maintenance (O&M) costs may account for 30 % of the total cost of energy for offshore wind power. Alarmingly, only after a few years of installation, offshore wind turbines (WT) may need emergency repairs. They also feature an extremely short lifespan hindering investments to green energy, effectively designed to reduce CO2 emissions. We have designed real-time monitoring and diagnostics platform in the context of operation and maintenance scheduling of WT components. Using this architecture, we can quantify the risk of future failure of a given component and trace back the root-cause of the failure. This is business-critical information for Energy Companies and Wind Farm Operators. The platform consists of an autonomous software-hardware solution, implementing an Object Oriented Real-Time Decision Tree learning algorithm for smart monitoring and diagnostics of structural and mechanical WT components. The innovative concept lies in running WT telemetry data through a machine learning based decision tree classification algorithm in real-time for detecting faults, errors, damage patterns, anomalies and abnormal operation. We believe our innovation creates evident value and will raise great interest as decision-support tool for WT manufacturers, Wind Farm Operators, Service Companies and Insurers. In this project, we will carry out pre-commercialisation actions to position ourselves in the market, provide unique selling proposition for future customers as well as raise interest among potential R&D collaborators and pilot customers. We will also establish technology proof of concept for the platform. For the first time, we are applying our design in difficult-to-access energy infrastructure installations and deploying it on a real-world prototype wind turbine. The project will be carried out with technical and commercialisation support from key players within the wind energy industry.

The overall objective of WinWind is to enhance the socially inclusive and environmentally sound market uptake of wind energy by increasing its social acceptance in 'wind energy scarce regions' (WESR). The specific objectives are: screening, analysing, discussing, replicating, testing & disseminating feasible solutions for increasing social acceptance and thereby the uptake of wind energy. The proposal considers from a multidisciplinary perspective the case of WESR in DE, ES, IT, LV, PL and NO. These selected countries represent a variety of realities ranging from large (but with WESR) to very scarce wind energy penetration. WinWind analyses regional and local communities´ specificities, socioeconomic, spatial & environmental characteristics and the reasons for slow market deployment in the selected target regions. Best practices to overcome the identified obstacles are assessed and – where feasible – transferred. The operational tasks are taken up by national/regional desks consisting of the project partners, market actors and stakeholders in each country. The project´s objectives will be reached by: i) analysing the inhibiting and driving factors for acceptance, ii) developing a taxonomy of barriers to identify similarities and differences in development patterns , iii) carrying out stakeholder dialogues in all participating regions, iv) developing acceptance-promoting measures that are transferable to specific local, regional and national contexts, and v) transferring feasible best practice solutions via learning labs. WinWind develops concrete solutions. The activities focus on novel informal/voluntary procedural participation of communities, direct and indirect financial participation & benefit sharing. Finally, policy lessons with validity across Europe are drawn and recommendations proposed. Already 62 stakeholders and market actors provided letters of support showing their commitment in supporting the WindWind activities and in implementing useful results.

Wind power is a key component in the transition towards a society based on renewable energy. However, wind turbine operation and maintenance costs remain high and represent a third of the total costs of energy. Maintenance of critical components can be drastically reduced through early fault detection using advanced sensor signals. However, current analysis methods are highly manual and do not scale well. The EU-funded PAVIMON project is focused on the implementation of advanced artificial intelligence (AI) to analyze data from these sensor streams. The aim is to increase the resource efficiency of signal analysis and improve predictive capabilities. The PAVIMON project will effectuate a feasibility study at technical, transformational and commercial levels.