Current energy policies are still based heavily on natural resources. Meanwhile, the trend is increasingly toward alternative resources, such as wind power.
It's only a matter of time before natural resources, such as petroleum, are depleted. Petroleum, a fossil-based energy source deposited across millions of years, is used to produce fuel or electricity. Taking stock of the fact that 260 billion barrels (one barrel = 159 liters) of oil were extracted over the last 11 years, it's evident that the world's petroleum resources will be depleted one day. New developments in solar or wind power are aimed at providing alternative energy sources that will enable us to maintain our current standard of living. Petroleum is also required by the chemical industry to manufacture special plastics.
When discussing the subject of petroleum and alternative energy, one must bear the advantages and disadvantages in mind. Our resources are running short . Because we cannot count on petroleum for the future, there will come a time when everyone will rely on the efficiency of wind power and other alternative energy sources . Unlike petroleum, wind power can be managed to ensure that it constantly renews itself. Wind power meanwhile makes it possible to have enough resources to supply entire cities. Petroleum has the additional disadvantage of harming the environment through CO2 emissions. This has resulted in increasing demand for resources such as wind power. Wind power can be classified into different categories. A class 4 wind turbine can meanwhile provide resources in a much more efficient manner than petroleum resources for instance. In addition, unlike petroleum, resources such as wind power offer a decentralized energy supply. This means that in contrast to petroleum, the utilization of wind power does not require a large power plant. Instead, it makes "transporting" the energy easier and faster. Decentralized wind power entails a massive infrastructure change. Resources such as wind power certainly bring disadvantages when it comes to the environment, although they pale in comparison to the disasters that can result from petroleum. The utilization of our resources determines how we continue to maintain our standard of living. This makes it important to continue public discourse on the issues of wind power and petroleum.
It's only a matter of time before there is no petroleum left. For this reason, from a resource standpoint we should already be moving toward heavy reliance on wind power instead of petroleum. After all, from a pure scientific point of view, new petroleum resources won't be available for millions of years. Unlike petroleum, wind power is a resource that will never run dry. In Germany alone, wind power is serving as a popular alternative resource to petroleum. The demand for wind power will increase in line with the consumption of petroleum. For this reason, it is imperative that we gradually move away from petroleum and make more use of wind power or other alternative energy resources. The environmental pollution caused by petroleum is reason enough for an environmentally-conscious society to use solar or wind power. In contrast to petroleum, wind power is significantly better for the environment and offers a unique resource balance.
This topic covers issues related to energy generation, conversion, transportation and consumption and how the industry is addressing the challenge of energy efficiency in general.
innovations-report provides in-depth and informative reports and articles on subjects ranging from wind energy, fuel cell technology, solar energy, geothermal energy, petroleum, gas, nuclear engineering, alternative energy and energy efficiency to fusion, hydrogen and superconductor technologies.
High-temperature (Tc) superconductivity typically develops from antiferromagnetic insulators, and superconductivity and ferromagnetism are always mutually exclusive.
Recently, Xianhui Chen's group at University of Science and Technology of China observed an electric-field controlled reversible transition from superconductor...28.05.2019 | Read more
Our energy system is changing: The permanent availability of energy in the right place at the right time is becoming more demanding. At the same time, digitalization offers us new tools for better controlling energy flows. A new joint energy research platform of ETH Zurich, the Paul Scherrer Institute (PSI) and Empa – ReMaP – aims at contributing to a better understanding of interconnected future energy systems.
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Researchers at Tokyo Institute of Technology have found a simple, yet highly versatile, way to generate "chaotic signals" with various features. The technique consists of interconnecting three "ring oscillators," effectively making them compete against each other, while controlling their respective strengths and their linkages. The resulting device is rather small and efficient, thus suitable for emerging applications such as realizing wireless networks of sensors.
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Machine learning (ML), a form of artificial intelligence that recognizes faces, understands language and navigates self-driving cars, can help bring to Earth the clean fusion energy that lights the sun and stars. Researchers at the U.S. Department of Energy's (DOE) Princeton Plasma Physics Laboratory (PPPL) are using ML to create a model for rapid control of plasma -- the state of matter composed of free electrons and atomic nuclei, or ions -- that fuels fusion reactions.
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Research being presented at the International Conference on Robotics and Automation 2019 in Montreal on May 21
The first experimental robot drone that flies like a typical quadcopter, drives on tough terrain and squeezes into tight spaces using the same motors, has been...20.05.2019 | Read more
Scientists have demonstrated a new bio-inspired material for an eco-friendly and cost-effective approach to recovering uranium from seawater.
A research team from the Department of Energy's Oak Ridge and Lawrence Berkeley National Laboratories, the University of California, Berkeley, and the...17.05.2019 | Read more
Numerical simulations have massively accelerated product development over the past few decades. A variety of scenarios can be tested in a short time and the number of necessary prototypes has been steadily reduced. Nevertheless, physical tests will not lose significance. Numerical models must be validated and approval testing must be carried out. In the project “Digitization in Testing Technology”, scientists from the Fraunhofer Institute for Structural Durability and System Reliability LBF have developed tunable test rig components and a mechanical hardware-in-the-loop approach.
The Results will present at the Automotive Testing Expo in Stuttgart, May 21-23, 2019 in hall 8, booth 8052.
What is the optimal combination of real and virtual world? The research team from Darmstadt developed tunable components and a mechanical hardware-in-the-loop...16.05.2019 | Read more
UTokyo engineers develop a way to create high-capacity long-life batteries
Engineers at the University of Tokyo continually pioneer new ways to improve battery technology. Professor Atsuo Yamada and his team recently developed a...16.05.2019 | Read more
Perovskite based solar cells have made tremendous progress over the last decade achieving outstanding lab-scale efficiencies of 24.2% early 2019 in single-junction architecture and to an astonishing 28% in Tandem (perovskite associated with crystalline silicon), turning it into the fastest-advancing solar technology to date. Perovskite technology will help further reducing costs and resource demands of solar electricity production, hence providing new capacity to tackle climate change and will offer the opportunity for the creation of jobs in Europe in the fast growing PV industry.
In the context where decarbonizing the energy-mix is becoming a priority challenge for European countries among others, European universities, research...16.05.2019 | Read more
Solar cells made of perovskite hold much promise for the future of solar energy. The material is cheap, easy to produce and almost as efficient as silicon, the material traditionally used in solar cells. However, perovskite degrades quickly, severely limiting its efficiency and stability over time.
Researchers from Eindhoven University of Technology, energy research institute DIFFER, Peking University and University of Twente have discovered that adding a...14.05.2019 | Read more
Augsburg chemists and physicists report how they have succeeded in the extremely difficult separation of hydrogen and deuterium in a gas mixture.
Thanks to the Surface Acoustic Wave (SAW) technology developed here and already widely used, the University of Augsburg is internationally recognized as the...
Adjusting the thermal conductivity of materials is one of the challenges nanoscience is currently facing. Together with colleagues from the Netherlands and Spain, researchers from the University of Basel have shown that the atomic vibrations that determine heat generation in nanowires can be controlled through the arrangement of atoms alone. The scientists will publish the results shortly in the journal Nano Letters.
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Scientists have visualised the electronic structure in a microelectronic device for the first time, opening up opportunities for finely-tuned high performance electronic devices.
Physicists from the University of Warwick and the University of Washington have developed a technique to measure the energy and momentum of electrons in...
Scientists at the University Würzburg and University Hospital of Würzburg found that megakaryocytes act as “bouncers” and thus modulate bone marrow niche properties and cell migration dynamics. The study was published in July in the Journal “Haematologica”.
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For some phenomena in quantum many-body physics several competing theories exist. But which of them describes a quantum phenomenon best? A team of researchers from the Technical University of Munich (TUM) and Harvard University in the United States has now successfully deployed artificial neural networks for image analysis of quantum systems.
Is that a dog or a cat? Such a classification is a prime example of machine learning: artificial neural networks can be trained to analyze images by looking...
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