Fabrizio Ascione spends much of his time researching Thermal comfort, Civil engineering, Multi-objective optimization, HVAC and Reliability engineering. His Civil engineering study frequently draws connections between related disciplines such as Architectural engineering. His work carried out in the field of Architectural engineering brings together such families of science as Envelope, Primary energy and Zero-energy building.
His research investigates the connection between Multi-objective optimization and topics such as Genetic algorithm that intersect with problems in Time horizon, Operating cost and Control engineering. His HVAC research incorporates themes from Ventilation, Environmental engineering and Energy recovery. His studies deal with areas such as Pareto principle, Retrofitting and Simulation as well as Reliability engineering.
The scientist’s investigation covers issues in Civil engineering, Architectural engineering, Building envelope, HVAC and Thermal comfort. His work on Occupancy as part of general Civil engineering study is frequently linked to Overheating, bridging the gap between disciplines. His Architectural engineering research is multidisciplinary, incorporating elements of Energy performance and Zero-energy building.
His research in Building envelope intersects with topics in Envelope, Structural engineering, Dynamic simulation and Thermal transmittance. Fabrizio Ascione has included themes like Ventilation and Computational fluid dynamics in his HVAC study. Fabrizio Ascione combines subjects such as Multi-objective optimization, Simulation, Operations research and Passive cooling with his study of Thermal comfort.
Fabrizio Ascione mainly investigates Building energy simulation, Zero-energy building, HVAC, Energy modeling and Sustainability. Building energy simulation and Thermal comfort are commonly linked in his work. His Zero-energy building study incorporates themes from Energy transition, Ventilation, Heat exchanger and Energy policy.
Fabrizio Ascione has researched HVAC in several fields, including Photovoltaics and Computational fluid dynamics. His Energy modeling study combines topics from a wide range of disciplines, such as Energy performance, Operations research, Retrofitting and Geographic information system. His studies in Reliability engineering integrate themes in fields like Multi-objective optimization, Heat recovery ventilation and Air conditioning.
His scientific interests lie mostly in HVAC, Architectural engineering, Photovoltaics, Baseline and Reliability engineering. His HVAC research incorporates elements of Ceiling, Indoor air quality and Occupancy. His Architectural engineering research includes themes of Quality, Computational fluid dynamics, Energy modeling, Thermostat and Setpoint.
His Photovoltaics study combines topics in areas such as Multi-objective optimization, Heat recovery ventilation and Air conditioning.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Energy refurbishment of existing buildings through the use of phase change materials: Energy savings and indoor comfort in the cooling season
Fabrizio Ascione;Nicola Bianco;Rosa Francesca De Masi;Filippo de’ Rossi.
Applied Energy (2014)
Green roofs in European climates. Are effective solutions for the energy savings in air-conditioning?
Fabrizio Ascione;Nicola Bianco;Filippo de’ Rossi;Gianluca Turni.
Applied Energy (2013)
Energy retrofit of historical buildings: theoretical and experimental investigations for the modelling of reliable performance scenarios
Fabrizio Ascione;Filippo de Rossi;Giuseppe Peter Vanoli.
Energy and Buildings (2011)
Earth-to-air heat exchangers for Italian climates
Fabrizio Ascione;Laura Bellia;Francesco Minichiello.
Renewable Energy (2011)
Simulation-based model predictive control by the multi-objective optimization of building energy performance and thermal comfort
Fabrizio Ascione;Nicola Bianco;Claudio De Stasio;Gerardo Maria Mauro.
Energy and Buildings (2016)
A new methodology for cost-optimal analysis by means of the multi-objective optimization of building energy performance
Fabrizio Ascione;Nicola Bianco;Claudio De Stasio;Gerardo Maria Mauro.
Energy and Buildings (2015)
Artificial neural networks to predict energy performance and retrofit scenarios for any member of a building category: A novel approach
Fabrizio Ascione;Nicola Bianco;Claudio De Stasio;Gerardo Maria Mauro.
Energy (2017)
Optimization of building envelope design for nZEBs in Mediterranean climate: Performance analysis of residential case study
Fabrizio Ascione;Rosa Francesca De Masi;Filippo de Rossi;Silvia Ruggiero.
Applied Energy (2016)
Energy retrofit of an educational building in the ancient center of Benevento. Feasibility study of energy savings and respect of the historical value
Fabrizio Ascione;Nicola Bianco;Rosa Francesca De Masi;Filippo de’Rossi.
Energy and Buildings (2015)
Multi-stage and multi-objective optimization for energy retrofitting a developed hospital reference building: A new approach to assess cost-optimality
Fabrizio Ascione;Nicola Bianco;Claudio De Stasio;Gerardo Maria Mauro.
Applied Energy (2016)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:
University of Molise
University of Naples Federico II
University of New South Wales
University of Naples Federico II
University of Perugia
Duke University
University of Illinois at Urbana-Champaign
Princeton University
National Institutes of Health
Federal University of Rio de Janeiro
Imperial College London
Commonwealth Scientific and Industrial Research Organisation
Yale University
Nanyang Technological University
Radboud University Nijmegen
Duke University
University of Hong Kong
University of New South Wales
Massey University
Johns Hopkins University
Australian National University