News Article | September 30, 2016
Hamburg and Schleswig-Holstein have achieved Germany’s renewable target for 2025. They already obtain 40% of their energy from renewables on an annual basis. A technological breakthrough, the digitization of industry, will be required to go further. This region of 4.5 million people expects to obtain 70% of its energy from renewables by 2025 and 100% by 2035. Schleswig-Holstein and Hamburg will be modelling the fourth industrial revolution. According to the booklet NEW 4.0, Northern German Energy Transition: NEW 4.0« is a unique project initiative in Hamburg and Schleswig-Holstein combining the forces of business, science and politics.”NEW” stands for the Norddeutsche Energie- Wende (Northern German Energy Transition) and »4.0« refers to the brink of the fourth industrial revolution: the digitisation of industry resulting from the smart networking of systems, an increasingly important component in the energy transition. As a large-scale transnational project, the aim of NEW 4.0 is to achieve a sustainable energy supply and thereby ensure the future viability of the region. More than 50 partners from the region are combining all necessary competencies and solution potentials to accelerate the energy transition in Northern Germany. This is very good news for a world concerned about climate change. Unlike North America, which is a long way from reaching the 1990 emissions benchmark set by the Kyoto Accord, Germany’s emissions are already 20% below 1990 levels. NEW 4.0 is expected to reduce the region’s CO2 emissions by another 50 to 70%. Hamburg Marketing GmbH points to already existing examples of this energy transition on a small scale: “In the automated Container Terminal Altenwerder (CTA) in Hamburg, battery-powered heavy goods vehicles transport containers between ships and storage yards. An intelligent software control system ensures that the removable batteries of these self-propelled vehicles are charged whenever there are high supplies of wind power available from the north German electricity grid. This guarantees efficient and eco-friendly operations of the container terminal. At the same time, this lighthouse project helps relieve the grid systems, which are strained by fluctuating power input from renewable energy sources. “Only a few kilometres away from the bustling CTA there is further proof of the energy transition’s progress: the Energy Bunker Wilhelmsburg, a former WW2 flak bunker, has been transformed into a green energy power plant. As part of the Renewable Wilhelmsburg climate protection scheme, the bunker supplies a local heating network with over 3,000 residential units with renewable thermal energy, while at the same time feeding green electricity for around 1,000 households into the power grid. In the future, the Energy Bunker will also be used to convert excess wind electricity into heat.” According to Dr Werner Beba, head of the Competence Centre for Renewable Energies and Energy Efficiency (CC4E) at the HAW Hamburg, NEW 4.0 will build upon these existing projects. “As part of the overall venture we will be coordinating a total of 101 individual projects. The partners of our Innovation Alliance will be developing projects aimed at improving flexibility, load transfer and storage. For example, with power-to-heat plants we are able to convert electricity into heat and feed it into Hamburg’s district heating grid. Battery storage facilities are already existent on a smaller scale on the wind farms. Now we are planning to connect larger areas to electrical energy storage systems. The novelty of our venture lies in merging all these components via communication and network technologies and operating it under the roof of one overall system, which is yet unprecedented.” About 60 regional and trans-regional partners have formed an “innovation alliance” to make NEW 4.0 possible. “With Trimet, Aurubis and ArcelorMittal we have Hamburg’s three largest energy- consuming enterprises on board of the project. Together, they consume about 25 percent of Hamburg’s electricity demands, which amounts to 12 billion kilowatt hours annually. As “load management flexibility partners,” industrial companies will play an important role in the project. By analysing the relevant production processes, we may be able to use surplus electricity whenever it is accrued in the grid. Optimised load management holds considerable potential for the successful implementation of the energy transition. Such synchronisation of production and consumption is one of the core tasks on the way to innovating the energy system,” explained Dr Baba. The partnership includes grid operators like TenneT, HanseWerk, Stromnetz Hamburg, and Schleswig-Holstein Netz. There are also “energy suppliers such as Hamburg Energie and Vattenfall, several public utilities such as Stadtwerke Norderstedt, Glückstadt and Flensburg, and technological companies such as Siemens and HanseWerk Natur.” Scientific input is coming from Fraunhofer, ISIT (Institute for Silicon Technology)Itzehoe, CC4E of the HAW Hamburg, the Hamburg University of Technology (TUHH), the University of Hamburg, the Helmut-Schmidt University, the universities of applied sciences FH Lübeck, FH Kiel and FH Flensburg, and the Hamburg Institute of International Economics. This alliance will invest around €90 million over the next four years. The Federal Ministry for Economic Affairs and Energy will put in another EUR 44 million. Photo credits: Container terminal / wind turbines at Hamburg by Christian Spahrbier courtesy www.mediaserver.hamburg.de; Windkraft Region Grabau/ wind energy – Photo: www.mediaserver.hamburg.de / imagefoto.de; Container ship on the Elbe Photo: www.mediaserver.hamburg.de / Andreas Vallbracht; Container terminal with wind turbine – Photo: www.mediaserver.hamburg.de / Ottmar Heinze Buy a cool T-shirt or mug in the CleanTechnica store! Keep up to date with all the hottest cleantech news by subscribing to our (free) cleantech daily newsletter or weekly newsletter, or keep an eye on sector-specific news by getting our (also free) solar energy newsletter, electric vehicle newsletter, or wind energy newsletter.
Schomann L.,Hamburg University of Technology |
Matz G.,Hamburg University of Technology |
Robken N.,Hamburg University of Technology |
Krause S.,University of Kassel
SAE International Journal of Fuels and Lubricants | Year: 2010
Amount and size distribution of wear particles in engine lubricating oil are indicators of the current machine condition. A change in size distribution, especially a rise in the amount of larger particles, often indicates a starting wear of some machine parts. Monitoring wear particles contained in lubricating oil during normal machine operation can help to identify the need for maintenance and more important to prevent sudden failure of the machine. An optical method is used to image a thin layer of oil to count and classify contained particles. Therefore, a continuous flow of undiluted oil from the oil circuit of the machine is pumped through the measurement instrument. Inside the instrument, the oil flow is directed through a thin transparent flow cell. Images are taken using a bright LED flashlight source, a magnification lens, and a digital camera. Algorithms have been developed to process and analyze the images. They are capable of compensating for variations in background brightness, of differentiating solid particles from non-solid particles (such as e.g. air bubbles), of classifying particles and air bubbles by size and shape. Additionally the class growth rate is monitored and classified by a prediction software unit, which is able to identify critical situations. The image analysis algorithms were trained with different oil samples from engines with varying damages. A differentiation between the causes of damage on the basis of the calculated particle properties was shown. Furthermore the system was successfully tested in various applications at engine test stands. It was capable of indicating an upcoming crankshaft bearing damage during a short test run. Using gas bubble count and size distribution, a value for the dispersed gas concentration could be calculated, which shows a good correlation with dynamic engine behavior. © 2010 SAE International.