About the company
Startup or self-employed
4058 Basel, Switzerland
Affordable and clean energy
Sustainable cities and communities
Replace expensive infrastructure by the logic of insects and smart technologies regarding local needs
The background of Its founder includes theoretical physics and biology. He worked in the environmental field as well as in risk management. As a consultant, he could gain insight in different areas of service for many years. Decentralized problems cannot be tackled in a centralized way. To find a promising energy source in a distributed environment with scarce supply, a market - owned by its prosumers - can be created that optimizes the overall system. This approach can also be used in the development of cities with an architecture adapted to a local management of energy in combination with fuel. His first attempt to solve distributed fuel problem was in 2007.
Toward a self organizing fuel for traffic
The growth of distributed energy is picking up speed, allowing even direct purchase/sale of power to third parties. However, there was no model yet for the use of distributed energy in traffic. For this purpose, I propose a model, which is shaped by efficiency and local scarcity. It aims to minimize energy, infrastructure (pipelines/costs) and the time required for fuel search. Collaborative and distributed participants cancel out the local limitations of fuel, thus enabling a market driven by the fuel price. In a distributed fuel supply environment with locally limited resources, the non-trivial problem comes up how a vehicle may find a promising (small) fuel station. By Agent-Based Modelling, autonomous fuel prosumers - organized in local markets open for third parties - will link up. Software-agents represent the actors of the Fuel Net, reacting to the current amount of fuel resp. power consumption of the participants. At fuel (including power) demand, a signal to nearby vehicles invokes a communication process (MANET). When the search fails, near stationary vehicles are checked for fuel (“vehicle to vehicle” fuel supply). The agents, based on algorithms from swam intelligence provide for an ongoing exchange of information concerning positions, fuel availability or external parameters (external sensors). Stationary agents (fuel stations) process the incoming data and determine suitable rules for the evolving entire system. Together, the agents form a kind of “organism”, whose self-organization properties will be implemented stepwise. The supply/consumption infrastructure connects with smart grids. Herein, storage media play a crucial role by determining the power/fuel ratio. Autonomous vehicles of the future will meet the requirements of the Fuel Net with ease, much better than today’s smartphones. The ongoing development of artificial leave/bionic leave will lead to the realization of fuel stations of small houses. Car sharing, 3D Printing and a bunch of new technologies will also be favorable for the concept, which could also be useful for the catalysis of hydrogen cars. Other scarce goods could eventually profit from the model, e.g. water, when distributing water in areas of water shortage.
Categories of application
Affordable and clean energy, Sustainable cities and communities
Sector of application
Energy distribution & management, Energy storage, Renewable fuels, Urban and inter-urban mobility, Communities infrastructures, Building and shelters