| Dynamic modelling and optimal sizing of industrial fire-tube boilers for various demand profiles M Tognoli, B Najafi, F Rinaldi Applied Thermal Engineering 132, 341-351, 2018 | 26 | 2018 |
| Dynamic modelling, experimental validation, and thermo-economic analysis of industrial fire-tube boilers with stagnation point reverse flow combustor M Tognoli, B Najafi, R Marchesi, F Rinaldi Applied Thermal Engineering 149, 1394-1407, 2019 | 20 | 2019 |
| Reduced FV modelling based on CFD database and experimental validation for the thermo-fluid dynamic simulation of flue gases in horizontal fire-tubes A Morelli, M Tognoli, A Ghidoni, B Najafi, F Rinaldi International Journal of Heat and Mass Transfer 194, 123033, 2022 | 6 | 2022 |
| Implementation of a multi-setpoint strategy for fire-tube boilers utilized in food and beverage industry: Estimating the fuel saving potential M Tognoli, B Najafi, A Lucchini, LPM Colombo, F Rinaldi Sustainable Energy Technologies and Assessments 53, 102481, 2022 | 5 | 2022 |
| Simplified finite volume-based dynamic modeling, experimental validation, and data-driven simulation of a fire-tube hot-water boiler M Tognoli, S Keyvanmajd, B Najafi, F Rinaldi Sustainable Energy Technologies and Assessments 58, 103321, 2023 | 1 | 2023 |
| Reduced thermal-hydraulic model of flue gases in horizontal fire tubes with helical coil inserts employing a CFD simulated database M Tognoli, A Morelli, B Najafi, F Rinaldi, A Ghidoni Available at SSRN 4210318, 2022 | 1 | 2022 |
| Mathematical modelling of proton migration in Earth mantle V Bobrovskiy, J Galvis, A Kaplin, A Sinitsyn, M Tognoli, P Trucco Mathematical Modelling of Natural Phenomena 17, 14, 2022 | 1 | 2022 |
| A Machine Learning Model for the Prediction of Building Hourly Heating Demand from CityGML Files: Training Workflow and Deployment as an API M Tognoli, G Peronato, JH Kaempf Building Simulation 2023 18, 1177-1183, 2023 | | 2023 |
| Physical/data-driven dynamic modelling of fire-tube boilers and demand prediction aiming at adaptive optimization of the supply set-point condition M Tognoli | | 2022 |
| Machine learning based estimation and measurement anomaly detection of NOx emissions in natural gas fired boilers GB ZANNINI Politecnico di Milano, 2018 | | 2018 |
| Deep learning based occupancy prediction and HVAC behavior modeling for improving energy efficiency of commercial buildings NF MARRUGO CARDENAS Politecnico di Milano, 2018 | | 2018 |
| Dynamic modelling, experimental validation and optimal sizing of industrial fire-tube boilers for various demand profiles M TOGNOLI Politecnico di Milano, 2016 | | 2016 |
| Analisi d'impatto verticale di elicotteri con tecniche numeriche ibride M TOGNOLI Politecnico di Milano, 2009 | | 2009 |
| Optimized Thermal-Hydraulic Modeling of Flue Gases in Horizontal Fire Tubes with Helical Coil Inserts: An Approach Using Cfd-Simulated Data M Tognoli, A Morelli, B Najafi, F Rinaldi, A Ghidoni Available at SSRN 4590286, 0 | | |
Fabio RinaldiAssociate Professor Politecnico di MilanoVerified email at polimi.it