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Companies and R&D institutions increasingly collaborate not only in isolated projects but also in knowledge-based networks. In those networks, participants combine expertise and applied problems to generate both ‘problem-solving knowledge’ and specialized knowledge: during the process of common problem-solving each partner acquires some of the specialized knowledge of the other partners as well as the newly generated problem-solving knowledge. This article examines the basic principles involved and provides a simple mathematical description of the step-by-step accumulation of knowledge through the solving of applied problems in a knowledge-based network. The rate of increase of the total amount of available knowledge in the network is derived and implications for the orientation of R&D institutes and companies are set out.
After hesitating until the mid-2010s, German industry has now embraced the energy transition and moved to a driver. The pioneers of change are the major energy companies, followed large parts of industry which have initiated radical changes. Even the energy-intensive industries steel and chemistry are phasing out fossil fuels.
The energy transition can be mapped on four levels. While industry and the state should act on the national and international level, most of the energy transition is taking place at the regional and municipal levels. Here the small-scale and decentralized nature of the new energy world is reflected, where customized individual solutions are created.