How is possible to increase efficiency into industrial facility? Do new energy generation systems (hardware) are necessary? Do machine learning and artificial intelligence could improve performance?
During my Ph.D. I analysed both efficiency energy conversion system based on SOFC/RSOC to produce energy both to improce polygeneration system using data analytics and machine learning. Clustering is proposed to define polygeneration system and to perform short-therm forecasting combined with kNN.
How data on energy consumption could be used to improve efficiency on generation with polygeneration system?
In this paper presented at SDEWES Conference 2019 an innovative method based on clustering analysis is proposed to perform data analytics and define poligeneration system. Dataset of a case study show that energy saving could be achieved.
We recently proposed to increase efficiency of an industrial energy system with the adoption of a RSOC (Reversible Solid Oxide Cell). The aim is to produce both heat and electricity, increase the match between energy production and consumption meanwhile hydrogen is produced.
An existing paper mill located in Italy was analysed with the aim of revamping a part of the energy generation system with the adoption of RSOC/SOFC to dismiss one of the old steam turbine.
Thermodynamic analysis shows that primary energy saving is achieve even if hydrogen is produced.
Link: https://doi.org/10.1016/j.ijhydene.2018.08.145 (Not open access)
In this study an innovative cogeneration system based on Solid Oxide Fuel Cell and Air Source Heat Pump is presented for a household application with the main goal of high efficiency on energy conversion. Exhausted gases from the fuel cell are firstly used to heat the hot water for domestic uses and space heating. Successively, they are mixed with inlet air at the heat pump evaporator in order to increase the performance. This innovative system configuration decreases also possibility of freezing the evaporator, which is the main problem for air source heat pump in Nordic climates. Simulations are performed to check parameters and strategies to maximise energy conversion efficiency of the micro-cogeneration system. Thermodynamics analysis was carried out to prove energy advantage of such a solution with respect to a traditional one.
In this study an innovative micro-cogeneration system for household application is presented: it covers heating, domestic hot water and electricity demands for a residential user. Solid oxide fuel cells, heat pump and Stirling engine are utilised as a system to achieve high energy conversion efficiency. A transition from traditional petrol cars to electric mobility is also considered and simulated here. Different types of fuel are considered to demonstrate the high versatility of the simulated cogeneration system by changing the pre-reformer of the fuel cell. Thermodynamic analysis is performed to prove high efficiency with the different fuels.
You can download the paper here (Open Acces journal): http://dx.doi.org/10.13044/j.sdewes.d5.0162