Abstract
Researchers investigate the performance of a micro-scale combined heat and power (CHP) system in bioenergy application. The focus has been on the micro gas turbine (MGT) technology as a high-efficient and fuel-flexible distributed generation (DG) system. The combination of MGT and bioenergy seems to be a bridge solution into a sustainable energy future. A wide-ranging performance analysis was conducted to assess the technical limitations and opportunities of micro gas turbines operating with biomass-derived gaseous fuels. For realization of the distributed CHP, tools for monitoring and diagnostics that are easy to apply would be needed. For this purpose, the application of artificial neural network (ANN) for monitoring of a MGT was investigated using the extensive data obtained from an existing test rig. The prediction results showed that the ANN model could serve as an accurate baseline model for monitoring applications.
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Somehsaraei, H.N., Assadi, M. (2018). Micro-Scale Combined Heat and Power: Contributor to Sustainable Energy Solution. In: De, S., Bandyopadhyay, S., Assadi, M., Mukherjee, D. (eds) Sustainable Energy Technology and Policies. Green Energy and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-10-8393-8_4
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