Many years of intensive research and development culminated in a new type of engine, which combines the benefits of the alpha and the gamma type by simultaneously avoiding their disadvantages. The alphagamma®technology lays the foundation for a very simple and cost-effective design that focuses on low maintenance and longevity while maintaining high efficiency. If we look at the work distribution of pistons in familiar engine types, it is possible to draw the following comparison:
alphagamma® technology reduces the work of the expansion piston by approximately half compared to the alpha type and by around 30% in comparison to the beta and gamma type. Both pistons perform positive work. Consequently, piston forces, piston friction, and the bearing load of the piston rod bearings and crankshaft main bearings are reduced. The new technology therefore provides the qualification of placing highest life expectancies on the roller bearings despite lubrication-free operation and achieving particularly high efficiencies due to minimal frictional forces. Our test stand results clearly confirm the high expectations.
Along with the construction of the new alphagamma® Stirling engine, we developed a gas burner that is precisely matched to the requirements of high-temperature heat transfer and is particularly suitable for use with low-emission and special gases of biogenic origin. Both, the long-term stability of the engines as well as the exhaust gases of the burner equipment, are continuously monitored on the company’s own test benches and in test operations at future customers.
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Currently there are machines with 660ccm displacement and a mechanical shaft power of 8kW in two different designs in use:
Frauscher alphagamma® Stirling Type G600a
Frauscher alphagamma® Stirling G600i
Frauscher Stirling engines, based on the alphagamma® process, form the basis for further research and development work. Here, we focus on the power generation from solid biomass as well as on the development of more powerful engines. Improving the power-to-weight ratio is another task that challenges us.