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A method for assessing buildings’ energy efficiency by dynamic simulation and experimental activity

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  1. Chaudhary, Gaurav & New, Joshua & Sanyal, Jibonananda & Im, Piljae & O’Neill, Zheng & Garg, Vishal, 2016. "Evaluation of “Autotune” calibration against manual calibration of building energy models," Applied Energy, Elsevier, vol. 182(C), pages 115-134.
  2. Kylili, Angeliki & Fokaides, Paris A. & Christou, Petros & Kalogirou, Soteris A., 2014. "Infrared thermography (IRT) applications for building diagnostics: A review," Applied Energy, Elsevier, vol. 134(C), pages 531-549.
  3. Federica Rosso & Anna Laura Pisello & Franco Cotana & Marco Ferrero, 2014. "Integrated Thermal-Energy Analysis of Innovative Translucent White Marble for Building Envelope Application," Sustainability, MDPI, vol. 6(8), pages 1-24, August.
  4. Pisello, Anna Laura & Petrozzi, Alessandro & Castaldo, Veronica Lucia & Cotana, Franco, 2016. "On an innovative integrated technique for energy refurbishment of historical buildings: Thermal-energy, economic and environmental analysis of a case study," Applied Energy, Elsevier, vol. 162(C), pages 1313-1322.
  5. Stazi, Francesca & Tomassoni, Elisa & Bonfigli, Cecilia & Di Perna, Costanzo, 2014. "Energy, comfort and environmental assessment of different building envelope techniques in a Mediterranean climate with a hot dry summer," Applied Energy, Elsevier, vol. 134(C), pages 176-196.
  6. Rosa Schiano-Phan & Joana C. S. Gonçalves & Juan A. Vallejo, 2022. "Pedagogy Pro-Design and Climate Literacy: Teaching Methods and Research Approaches for Sustainable Architecture," Sustainability, MDPI, vol. 14(11), pages 1-28, June.
  7. Karmellos, M. & Kiprakis, A. & Mavrotas, G., 2015. "A multi-objective approach for optimal prioritization of energy efficiency measures in buildings: Model, software and case studies," Applied Energy, Elsevier, vol. 139(C), pages 131-150.
  8. Delgarm, N. & Sajadi, B. & Kowsary, F. & Delgarm, S., 2016. "Multi-objective optimization of the building energy performance: A simulation-based approach by means of particle swarm optimization (PSO)," Applied Energy, Elsevier, vol. 170(C), pages 293-303.
  9. Yang, Zheng & Becerik-Gerber, Burcin, 2015. "A model calibration framework for simultaneous multi-level building energy simulation," Applied Energy, Elsevier, vol. 149(C), pages 415-431.
  10. Chen, Jiayu & Jain, Rishee K. & Taylor, John E., 2013. "Block Configuration Modeling: A novel simulation model to emulate building occupant peer networks and their impact on building energy consumption," Applied Energy, Elsevier, vol. 105(C), pages 358-368.
  11. Joudi, Ali & Svedung, Harald & Cehlin, Mathias & Rönnelid, Mats, 2013. "Reflective coatings for interior and exterior of buildings and improving thermal performance," Applied Energy, Elsevier, vol. 103(C), pages 562-570.
  12. Ascione, Fabrizio & Bianco, Nicola & de’ Rossi, Filippo & Turni, Gianluca & Vanoli, Giuseppe Peter, 2013. "Green roofs in European climates. Are effective solutions for the energy savings in air-conditioning?," Applied Energy, Elsevier, vol. 104(C), pages 845-859.
  13. Yan, Chengchu & Wang, Shengwei & Xiao, Fu & Gao, Dian-ce, 2015. "A multi-level energy performance diagnosis method for energy information poor buildings," Energy, Elsevier, vol. 83(C), pages 189-203.
  14. O'Grady, Małgorzata & Lechowska, Agnieszka A. & Harte, Annette M., 2017. "Quantification of heat losses through building envelope thermal bridges influenced by wind velocity using the outdoor infrared thermography technique," Applied Energy, Elsevier, vol. 208(C), pages 1038-1052.
  15. Pisello, Anna Laura & Asdrubali, Francesco, 2014. "Human-based energy retrofits in residential buildings: A cost-effective alternative to traditional physical strategies," Applied Energy, Elsevier, vol. 133(C), pages 224-235.
  16. Spoladore, Alessandro & Borelli, Davide & Devia, Francesco & Mora, Flavio & Schenone, Corrado, 2016. "Model for forecasting residential heat demand based on natural gas consumption and energy performance indicators," Applied Energy, Elsevier, vol. 182(C), pages 488-499.
  17. Annamaria Buonomano, 2016. "Code-to-Code Validation and Application of a Dynamic Simulation Tool for the Building Energy Performance Analysis," Energies, MDPI, vol. 9(4), pages 1-29, April.
  18. Vincenzo Ballerini & Bernadetta Lubowicka & Paolo Valdiserri & Dorota Anna Krawczyk & Beata Sadowska & Maciej Kłopotowski & Eugenia Rossi di Schio, 2023. "The Energy Retrofit Impact in Public Buildings: A Numerical Cross-Check Supported by Real Consumption Data," Energies, MDPI, vol. 16(23), pages 1-21, November.
  19. Anna Laura Pisello & Michael Bobker & Franco Cotana, 2012. "A Building Energy Efficiency Optimization Method by Evaluating the Effective Thermal Zones Occupancy," Energies, MDPI, vol. 5(12), pages 1-22, December.
  20. Francesco Asdrubali & Cinzia Buratti & Franco Cotana & Giorgio Baldinelli & Michele Goretti & Elisa Moretti & Catia Baldassarri & Elisa Belloni & Francesco Bianchi & Antonella Rotili & Marco Vergoni &, 2013. "Evaluation of Green Buildings’ Overall Performance through in Situ Monitoring and Simulations," Energies, MDPI, vol. 6(12), pages 1-23, December.
  21. Gourlis, Georgios & Kovacic, Iva, 2016. "A study on building performance analysis for energy retrofit of existing industrial facilities," Applied Energy, Elsevier, vol. 184(C), pages 1389-1399.
  22. Balvís, Eduardo & Sampedro, Óscar & Zaragoza, Sonia & Paredes, Angel & Michinel, Humberto, 2016. "A simple model for automatic analysis and diagnosis of environmental thermal comfort in energy efficient buildings," Applied Energy, Elsevier, vol. 177(C), pages 60-70.
  23. Wang, Endong, 2015. "Benchmarking whole-building energy performance with multi-criteria technique for order preference by similarity to ideal solution using a selective objective-weighting approach," Applied Energy, Elsevier, vol. 146(C), pages 92-103.
  24. Aldossary, Naief A. & Rezgui, Yacine & Kwan, Alan, 2014. "Domestic energy consumption patterns in a hot and humid climate: A multiple-case study analysis," Applied Energy, Elsevier, vol. 114(C), pages 353-365.
  25. Mavromatidis, Lazaros Elias & Bykalyuk, Anna & Lequay, Hervé, 2013. "Development of polynomial regression models for composite dynamic envelopes’ thermal performance forecasting," Applied Energy, Elsevier, vol. 104(C), pages 379-391.
  26. Ascione, Fabrizio & Bianco, Nicola & De Stasio, Claudio & Mauro, Gerardo Maria & Vanoli, Giuseppe Peter, 2016. "Multi-stage and multi-objective optimization for energy retrofitting a developed hospital reference building: A new approach to assess cost-optimality," Applied Energy, Elsevier, vol. 174(C), pages 37-68.
  27. Rossi, Federico & Pisello, Anna Laura & Nicolini, Andrea & Filipponi, Mirko & Palombo, Massimo, 2014. "Analysis of retro-reflective surfaces for urban heat island mitigation: A new analytical model," Applied Energy, Elsevier, vol. 114(C), pages 621-631.
  28. Li, Wenliang & Zhou, Yuyu & Cetin, Kristen & Eom, Jiyong & Wang, Yu & Chen, Gang & Zhang, Xuesong, 2017. "Modeling urban building energy use: A review of modeling approaches and procedures," Energy, Elsevier, vol. 141(C), pages 2445-2457.
  29. Ye, Hong & Long, Linshuang & Zhang, Haitao & Zou, Ruqiang, 2014. "The performance evaluation of shape-stabilized phase change materials in building applications using energy saving index," Applied Energy, Elsevier, vol. 113(C), pages 1118-1126.
  30. Naveros, I. & Ghiaus, C., 2015. "Order selection of thermal models by frequency analysis of measurements for building energy efficiency estimation," Applied Energy, Elsevier, vol. 139(C), pages 230-244.
  31. Lü, Xiaoshu & Lu, Tao & Kibert, Charles J. & Viljanen, Martti, 2014. "A novel dynamic modeling approach for predicting building energy performance," Applied Energy, Elsevier, vol. 114(C), pages 91-103.
  32. Manfren, Massimiliano & Aste, Niccolò & Moshksar, Reza, 2013. "Calibration and uncertainty analysis for computer models – A meta-model based approach for integrated building energy simulation," Applied Energy, Elsevier, vol. 103(C), pages 627-641.
  33. Anna Laura Pisello & Federico Rossi & Franco Cotana, 2014. "Summer and Winter Effect of Innovative Cool Roof Tiles on the Dynamic Thermal Behavior of Buildings," Energies, MDPI, vol. 7(4), pages 1-19, April.
  34. Yang, Tao & Pan, Yiqun & Mao, Jiachen & Wang, Yonglong & Huang, Zhizhong, 2016. "An automated optimization method for calibrating building energy simulation models with measured data: Orientation and a case study," Applied Energy, Elsevier, vol. 179(C), pages 1220-1231.
  35. Long, Linshuang & Ye, Hong & Gao, Yanfeng & Zou, Ruqiang, 2014. "Performance demonstration and evaluation of the synergetic application of vanadium dioxide glazing and phase change material in passive buildings," Applied Energy, Elsevier, vol. 136(C), pages 89-97.
  36. Aldossary, Naief A. & Rezgui, Yacine & Kwan, Alan, 2015. "Consensus-based low carbon domestic design framework for sustainable homes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 417-432.
  37. Tae-Keun Oh & Donghwan Lee & Minsoo Park & Gichun Cha & Seunghee Park, 2018. "Three-Dimensional Visualization Solution to Building-Energy Diagnosis for Energy Feedback," Energies, MDPI, vol. 11(7), pages 1-18, July.
  38. Buonomano, Annamaria & Palombo, Adolfo, 2014. "Building energy performance analysis by an in-house developed dynamic simulation code: An investigation for different case studies," Applied Energy, Elsevier, vol. 113(C), pages 788-807.
  39. Anna Laura Pisello & Franco Cotana & Andrea Nicolini & Lucia Brinchi, 2013. "Development of Clay Tile Coatings for Steep-Sloped Cool Roofs," Energies, MDPI, vol. 6(8), pages 1-17, July.
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