Najafi Behzad
Behzad Najafi, born in 1987, is a Tenure-track Assistant Professor (RTDb) at the Energy Department of Politecnico di Milano, Italy. His research activities are mainly focused on the application of physical and physics-inspired machine learning-based modelling of indoor environments and HVAC systems to enable real-time optimization of HVAC operation management strategies. These activities are aimed at achieving energy saving in buildings and district heating networks, facilitating demand flexibility in grid-interactive buildings and enabling their participation in flexibility markets, along with balancing the electric vehicles’ charging as well as self-consumption (from on-site renewable generation) enhancement. In addition, he carries out research activities on smart meter-driven machine learning-based remote auditing of buildings and HVAC load disaggregation. He had also previously conducted several research projects dedicated to optimization of fuel cell-based micro-generation systems and techno-economic feasibility assessment of hybrid stand-alone generation units for small communities. In the context of these activities, he has published 39 journal articles and he has been the main supervisor of 3 PhD theses (2 ongoing) and over 30 M.Sc. thesis projects.
Education
PhD in Energy and Nuclear Science and Technology, Politecnico di Milano, 2016.
Master of Science in Energy Engineering, Politecnico di Milano, 2012.
RESEARCH GROUP
Phone
+39 02 2399 8518
Scientific-Disciplinary Sector
Thermal Engineering and Industrial Energy Systems – IIND-07/A
Behzad Najafi, born in 1987, is a Tenure-track Assistant Professor (RTDb) at the Energy Department of Politecnico di Milano, Italy. His research activities are mainly focused on the application of physical and physics-inspired machine learning-based modelling of indoor environments and HVAC systems to enable real-time optimization of HVAC operation management strategies. These activities are aimed at achieving energy saving in buildings and district heating networks, facilitating demand flexibility in grid-interactive buildings and enabling their participation in flexibility markets, along with balancing the electric vehicles’ charging as well as self-consumption (from on-site renewable generation) enhancement. In addition, he carries out research activities on smart meter-driven machine learning-based remote auditing of buildings and HVAC load disaggregation. He had also previously conducted several research projects dedicated to optimization of fuel cell-based micro-generation systems and techno-economic feasibility assessment of hybrid stand-alone generation units for small communities. In the context of these activities, he has published 39 journal articles and he has been the main supervisor of 3 PhD theses (2 ongoing) and over 30 M.Sc. thesis projects.
Education
PhD in Energy and Nuclear Science and Technology, Politecnico di Milano, 2016.
Master of Science in Energy Engineering, Politecnico di Milano, 2012.
RESEARCH GROUP
Najafi Behzad
Phone
+39 02 2399 8518
Scientific-Disciplinary Sector
Thermal Engineering and Industrial Energy Systems – IIND-07/A
