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Information on didactic, research and institutional assignments on this page are certified by the University; more information, prepared by the lecturer, are available on the personal web page and in the curriculum vitae indicated on this webpage.
Information
LecturerRinaldi Fabio
QualificationFull professor full time
Belonging DepartmentDipartimento di Energia
Scientific-Disciplinary SectorIIND-07/A - Thermal Engineering And Industrial Energy Systems
Curriculum VitaeDownload CV (366.8Kb - 26/09/2024)
OrcIDhttps://orcid.org/0000-0003-0783-5425

Contacts
Office hours
DepartmentFloorOfficeDayTimetableTelephoneFaxNotes
Energia - Via Lambruschini, 4 - Campus Bovisa.11.37MondayFrom 09:00
To 16:00
0223992342---Su appuntamento
E-mailfabio.rinaldi@polimi.it
Personal website---

Data source: RE.PUBLIC@POLIMI - Research Publications at Politecnico di Milano

List of publications and reserach products for the year 2025
No product yet registered in the year 2025


List of publications and reserach products for the year 2024 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Contributions on scientific books
Electricity demand flexibility estimation in warehouses using machine learning (Show >>)
Conference proceedings
A Roadmap for Improving Warehouse Environmental Sustainability: The Case of a Conditioned Logistics Facility for Medical Devices (Show >>)
Sustainable and Energy-Efficient Industrial Systems: Modelling the Environmental Impact of Logistics Facilities (Show >>)
Journal Articles
Just-in-Time Morning Ramp-Up Implementation in Warehouses Enabled by Machine Learning-Based Predictive Modelling: Estimation of Achievable Energy Saving through Simulation (Show >>)


List of publications and reserach products for the year 2023 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Conference proceedings
Assessing the impact of smart lighting systems and on-site renewable generation in a distribution warehouse: a simulation-based approach (Show >>)
Modulating the HVAC demand of a wharehouse to provide load flexibility for charging electric trucks (Show >>)
Journal Articles
Assessing the impact of employing machine learning-based baseline load prediction pipelines with sliding-window training scheme on offered flexibility estimation for different building categories (Show >>)
Handling complete short-term data logging failure in smart buildings: Machine learning based forecasting pipelines with sliding-window training scheme (Show >>)
Machine learning-based estimation of buildings' characteristics employing electrical and chilled water consumption data: Pipeline optimization (Show >>)
Machine-Learning-Based Prediction of HVAC-Driven Load Flexibility in Warehouses (Show >>)
Simplified finite volume-based dynamic modeling, experimental validation, and data-driven simulation of a fire-tube hot-water boiler (Show >>)


List of publications and reserach products for the year 2022 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Journal Articles
Implementation of a multi-setpoint strategy for fire-tube boilers utilized in food and beverage industry: Estimating the fuel saving potential (Show >>)
Reduced FV modelling based on CFD database and experimental validation for the thermo-fluid dynamic simulation of flue gases in horizontal fire-tubes (Show >>)


List of publications and reserach products for the year 2021 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Journal Articles
A 0D-3D approach for numerical analysis of waste to energy plants: A case study (Show >>)
Building characterization through smart meter data analytics: Determination of the most influential temporal and importance-in-prediction based features (Show >>)
Economic Feasibility Analysis and Optimization of Hybrid Renewable Energy Systems for Rural Electrification in Peru (Show >>)
Machine learning based models for pressure drop estimation of two-phase adiabatic air-water flow in micro-finned tubes: Determination of the most promising dimensionless feature set (Show >>)
Machine learning based pressure drop estimation of evaporating R134a flow in micro-fin tubes: Investigation of the optimal dimensionless feature set (Show >>)
manifesti v. 3.9.3 / 3.9.3
Area Servizi ICT
27/04/2025