Eight new technologies could be developed when we solved an age-old overlooked factor in science. They improve current technologies in all conceivable performance characteristics.
Redefine Heat Engines
Why does the thermodynamic energy engine efficiency limit of an aircraft gas turbine start at 60% compared to the 80% of a Stirling engine under the same ideal conditions and the same combustion fuel?
This is not addressed anywhere in contemporary literature, not even in the works of recent Nobel laureates investigating this branch of thermodynamics, such as Onsager and Prigogine.
Tezzit, a company focused on unlocking the full potential of thermodynamics, has spent the last six years discovering and developing a simple hypothesis that addresses the issue explained for airplane engines. During those years, we have gathered multiple layers of multidirectional and multiphysics proof, validated through CFD analysis, and supported by over 20 independent external peer-reviewed research publications.
In addition to the airplane engine case, we have developed test models that clearly explain the inconsistency and, on the other hand, clearly show how relatively easy it is to improve the energy engine efficiency of gas turbines by over 5%. The so-called “gliding temperature” concept is one of the strategies that, as one technology adjustment, involves injecting different fuel types with different combustion temperatures at different stages in the combustor system to gradually increase the temperature of the thermodynamic medium.
Current experimental data shows that fuels with higher combustion temperatures require more primary energy to produce and are more expensive in terms of market price per unit of thermal energy. These data support the scientific findings mentioned above. Using hydrogen as a fuel for a gas turbine seems not to be an optimal solution due to its high combustion temperature.
Tezzit claims that enhanced heat engine thermodynamics can lead to a 5% efficiency gain in current designs of gas turbines, diesel engines and gasoline combustion engines.
Hidden in the most diverse applications, PID controllers are present in every step of our lives. Its hundred year old algorithm controls over 50 billion processes and systems. The messy configuration method causes more than half of the PID controllers to perform poorly.
We found a mathematical-physical inconsistency in the 100 year old PID-control algorithm. Our first technology product is launched: S-control that improves PID-control by 60% in performance, configuration and in stability. The 3 dimensionless coefficients have been substituted by physical properties. The third differentiator term is turned into an effective and stable term.
Heat exchange has fueled human progress for thousands of years. Over the past centuries heat and mass transfer has processed all energy flows in power plants, cars, ships, airplanes, refrigeration, heating, cooling, drying, spraying and in all industrial processes. It is largely responsible for 80% of the global energy supply because heat exchange also plays an important role in all heat engines and heat pumps.
Tezzit’s new thermodynamic knowledge led to new technologies:
Feedforward Heat Exchanger Control – This high performance predictive control for heat exchangers significantly improves process stability (accurate temperature control) and energy efficiency. In addition, it reduces fouling and thermal stress on the heat exchanger and the process equipment of which the heat exchanger is part..
Ideal Flow Pattern Heat Exchanger– The new flow channel design generates the so-called ideal flow pattern which significantly improves the heat transfer. The advanced heat exchanger designs lead to extremely small and highly efficient heat exchangers.
CFD/FEM Heat Power – Quantifying and visualizing energy degradation in any CFD model. Using CFD Heat Power improves the development and engineering of high performance heat exchangers, heat engines and heat pumps. In addition, it can be used to model and optimize fatigue, thermal stress and friction.
Thermodynamic Materials – Materials including metals that can withstand extremely high levels of dynamic stress and/or thermal stress. Material structure and shapes that lead to fatigue-free materials.
The If-then operator is a fundamental component in virtually all digital systems. In order to execute a conditional statement, a computer has to carry out various tasks such as branching, comparison, and eventually executing the conditional task within the statement.
Tezzit has developed a new approach to executing conditional operators by creating a simple arithmetic expression called TezzitSharp. This expression can be executed as an arithmetic calculation instead of relying on the CPU to manage various tasks. TezzitSharp offers two main features: Firstly, it provides a true atomic conditional operator for the branch, which is known as Atomic programming. Secondly, TezzitSharp is faster than traditional conditional operators for arithmetic tasks, especially when the operating system is optimized for GPU, FPU, or FPGA systems.
TezzitSharp has numerous applications in machine learning and artificial intelligence, where it can significantly improve the processing of conditional statements involving arithmetic operations. x
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