Fabrizio Ascione
Fabrizio Ascione
Professore Associato di Fisica Tecnica Ambientale, UniversitÓ degli Studi di Napoli Federico II
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Citata da
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Anno
Energy refurbishment of existing buildings through the use of phase change materials: Energy savings and indoor comfort in the cooling season
F Ascione, N Bianco, RF De Masi, F de’Rossi, GP Vanoli
Applied Energy 113, 990-1007, 2014
2422014
Green roofs in European climates. Are effective solutions for the energy savings in air-conditioning?
F Ascione, N Bianco, F de’Rossi, G Turni, GP Vanoli
Applied Energy 104, 845-859, 2013
2262013
Energy retrofit of historical buildings: theoretical and experimental investigations for the modelling of reliable performance scenarios
F Ascione, F De Rossi, GP Vanoli
Energy and buildings 43 (8), 1925-1936, 2011
1852011
Earth-to-air heat exchangers for Italian climates
F Ascione, L Bellia, F Minichiello
Renewable Energy 36 (8), 2177-2188, 2011
1792011
A new methodology for cost-optimal analysis by means of the multi-objective optimization of building energy performance
F Ascione, N Bianco, C De Stasio, GM Mauro, GP Vanoli
Energy and Buildings 88, 78-90, 2015
1462015
Simulation-based model predictive control by the multi-objective optimization of building energy performance and thermal comfort
F Ascione, N Bianco, C De Stasio, GM Mauro, GP Vanoli
Energy and Buildings 111, 131-144, 2016
1332016
Energy retrofit of an educational building in the ancient center of Benevento. Feasibility study of energy savings and respect of the historical value
F Ascione, N Bianco, RF De Masi, F de’Rossi, GP Vanoli
Energy and Buildings 95, 172-183, 2015
1232015
Multi-stage and multi-objective optimization for energy retrofitting a developed hospital reference building: A new approach to assess cost-optimality
F Ascione, N Bianco, C De Stasio, GM Mauro, GP Vanoli
Applied energy 174, 37-68, 2016
1132016
Energy saving strategies in air-conditioning for museums
F Ascione, L Bellia, A Capozzoli, F Minichiello
Applied thermal engineering 29 (4), 676-686, 2009
1112009
Artificial neural networks to predict energy performance and retrofit scenarios for any member of a building category: A novel approach
F Ascione, N Bianco, C De Stasio, GM Mauro, GP Vanoli
Energy 118, 999-1017, 2017
1102017
Optimization of building envelope design for nZEBs in Mediterranean climate: Performance analysis of residential case study
F Ascione, RF De Masi, F de Rossi, S Ruggiero, GP Vanoli
Applied energy 183, 938-957, 2016
1042016
Analysis and diagnosis of the energy performance of buildings and districts: Methodology, validation and development of Urban Energy Maps
F Ascione, RF De Masi, F de Rossi, R Fistola, M Sasso, GP Vanoli
Cities 35, 270-283, 2013
922013
Energy conservation and renewable technologies for buildings to face the impact of the climate change and minimize the use of cooling
F Ascione
Solar Energy 154, 34-100, 2017
852017
Rehabilitation of the building envelope of hospitals: Achievable energy savings and microclimatic control on varying the HVAC systems in Mediterranean climates
F Ascione, N Bianco, RF De Masi, GP Vanoli
Energy and Buildings 60, 125-138, 2013
842013
Design of the building envelope: A novel multi-objective approach for the optimization of energy performance and thermal comfort
F Ascione, N Bianco, RF De Masi, GM Mauro, GP Vanoli
Sustainability 7 (8), 10809-10836, 2015
672015
Energy retrofit of educational buildings: Transient energy simulations, model calibration and multi-objective optimization towards nearly zero-energy performance
F Ascione, N Bianco, RF De Masi, GM Mauro, GP Vanoli
Energy and Buildings 144, 303-319, 2017
662017
Earth-to-air heat exchanger for NZEB in Mediterranean climate
F Ascione, D D'Agostino, C Marino, F Minichiello
Renewable Energy 99, 553-563, 2016
622016
Design the refurbishment of historic buildings with the cost-optimal methodology: The case study of a XV century Italian building
F Ascione, N Cheche, RF De Masi, F Minichiello, GP Vanoli
Energy and Buildings 99, 162-176, 2015
602015
CASA, cost-optimal analysis by multi-objective optimisation and artificial neural networks: A new framework for the robust assessment of cost-optimal energy retrofit, feasibleá…
F Ascione, N Bianco, C De Stasio, GM Mauro, GP Vanoli
Energy and Buildings 146, 200-219, 2017
572017
Different methods for the modelling of thermal bridges into energy simulation programs: Comparisons of accuracy for flat heterogeneous roofs in Italian climates
F Ascione, N Bianco, F de’Rossi, G Turni, GP Vanoli
Applied Energy 97, 405-418, 2012
562012
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
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