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Development of a multicriteria tool for optimizing the renovation of buildings

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  1. Katerina Sojkova & Martin Volf & Antonin Lupisek & Roman Bolliger & Tomas Vachal, 2019. "Selection of Favourable Concept of Energy Retrofitting Solution for Social Housing in the Czech Republic Based on Economic Parameters, Greenhouse Gases, and Primary Energy Consumption," Sustainability, MDPI, vol. 11(22), pages 1-26, November.
  2. Cristina Baglivo & Delia D’Agostino & Paolo Maria Congedo, 2018. "Design of a Ventilation System Coupled with a Horizontal Air-Ground Heat Exchanger (HAGHE) for a Residential Building in a Warm Climate," Energies, MDPI, vol. 11(8), pages 1-27, August.
  3. D'Agostino, Delia & Parker, Danny, 2018. "A framework for the cost-optimal design of nearly zero energy buildings (NZEBs) in representative climates across Europe," Energy, Elsevier, vol. 149(C), pages 814-829.
  4. Shen, Pengyuan & Braham, William & Yi, Yunkyu & Eaton, Eric, 2019. "Rapid multi-objective optimization with multi-year future weather condition and decision-making support for building retrofit," Energy, Elsevier, vol. 172(C), pages 892-912.
  5. Keirstead, James & Jennings, Mark & Sivakumar, Aruna, 2012. "A review of urban energy system models: Approaches, challenges and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 3847-3866.
  6. 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.
  7. 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.
  8. Geyer, Philipp & Schlüter, Arno, 2014. "Automated metamodel generation for Design Space Exploration and decision-making – A novel method supporting performance-oriented building design and retrofitting," Applied Energy, Elsevier, vol. 119(C), pages 537-556.
  9. Ciardiello, Adriana & Rosso, Federica & Dell'Olmo, Jacopo & Ciancio, Virgilio & Ferrero, Marco & Salata, Ferdinando, 2020. "Multi-objective approach to the optimization of shape and envelope in building energy design," Applied Energy, Elsevier, vol. 280(C).
  10. Alina Galimshina & Maliki Moustapha & Alexander Hollberg & Sébastien Lasvaux & Bruno Sudret & Guillaume Habert, 2024. "Strategies for robust renovation of residential buildings in Switzerland," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
  11. Mehrdad Rabani & Habtamu Bayera Madessa & Natasa Nord, 2021. "Building Retrofitting through Coupling of Building Energy Simulation-Optimization Tool with CFD and Daylight Programs," Energies, MDPI, vol. 14(8), pages 1-23, April.
  12. Ceballos-Fuentealba, Irlanda & Álvarez-Miranda, Eduardo & Torres-Fuchslocher, Carlos & del Campo-Hitschfeld, María Luisa & Díaz-Guerrero, John, 2019. "A simulation and optimisation methodology for choosing energy efficiency measures in non-residential buildings," Applied Energy, Elsevier, vol. 256(C).
  13. Sierra-Pérez, Jorge & Rodríguez-Soria, Beatriz & Boschmonart-Rives, Jesús & Gabarrell, Xavier, 2018. "Integrated life cycle assessment and thermodynamic simulation of a public building’s envelope renovation: Conventional vs. Passivhaus proposal," Applied Energy, Elsevier, vol. 212(C), pages 1510-1521.
  14. Shu-Long Luo & Xing Shi & Feng Yang, 2024. "A Review of Data-Driven Methods in Building Retrofit and Performance Optimization: From the Perspective of Carbon Emission Reductions," Energies, MDPI, vol. 17(18), pages 1-33, September.
  15. Rabani, Mehrdad & Bayera Madessa, Habtamu & Mohseni, Omid & Nord, Natasa, 2020. "Minimizing delivered energy and life cycle cost using Graphical script: An office building retrofitting case," Applied Energy, Elsevier, vol. 268(C).
  16. Evins, Ralph, 2013. "A review of computational optimisation methods applied to sustainable building design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 230-245.
  17. Harish, V.S.K.V. & Kumar, Arun, 2016. "Reduced order modeling and parameter identification of a building energy system model through an optimization routine," Applied Energy, Elsevier, vol. 162(C), pages 1010-1023.
  18. 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.
  19. Yang, Liu & Yan, Haiyan & Lam, Joseph C., 2014. "Thermal comfort and building energy consumption implications – A review," Applied Energy, Elsevier, vol. 115(C), pages 164-173.
  20. Diana Manjarres & Lara Mabe & Xabat Oregi & Itziar Landa-Torres, 2019. "Two-Stage Multi-Objective Meta-Heuristics for Environmental and Cost-Optimal Energy Refurbishment at District Level," Sustainability, MDPI, vol. 11(5), pages 1-24, March.
  21. Diakaki, Christina & Grigoroudis, Evangelos & Kolokotsa, Dionyssia, 2013. "Performance study of a multi-objective mathematical programming modelling approach for energy decision-making in buildings," Energy, Elsevier, vol. 59(C), pages 534-542.
  22. Hong, Taehoon & Koo, Choongwan & Lee, Sungug, 2014. "Benchmarks as a tool for free allocation through comparison with similar projects: Focused on multi-family housing complex," Applied Energy, Elsevier, vol. 114(C), pages 663-675.
  23. Aste, Niccolò & Manfren, Massimiliano & Marenzi, Giorgia, 2017. "Building Automation and Control Systems and performance optimization: A framework for analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 313-330.
  24. Xu, Wenjie & Svetozarevic, Bratislav & Di Natale, Loris & Heer, Philipp & Jones, Colin N., 2024. "Data-driven adaptive building thermal controller tuning with constraints: A primal–dual contextual Bayesian optimization approach," Applied Energy, Elsevier, vol. 358(C).
  25. Arumägi, Endrik & Kalamees, Targo, 2014. "Analysis of energy economic renovation for historic wooden apartment buildings in cold climates," Applied Energy, Elsevier, vol. 115(C), pages 540-548.
  26. Kangji Li & Lei Pan & Wenping Xue & Hui Jiang & Hanping Mao, 2017. "Multi-Objective Optimization for Energy Performance Improvement of Residential Buildings: A Comparative Study," Energies, MDPI, vol. 10(2), pages 1-23, February.
  27. Schwartz, Yair & Raslan, Rokia & Mumovic, Dejan, 2016. "Implementing multi objective genetic algorithm for life cycle carbon footprint and life cycle cost minimisation: A building refurbishment case study," Energy, Elsevier, vol. 97(C), pages 58-68.
  28. Cristina Baglivo & Paolo Maria Congedo & Matteo Di Cataldo & Luigi Damiano Coluccia & Delia D’Agostino, 2017. "Envelope Design Optimization by Thermal Modelling of a Building in a Warm Climate," Energies, MDPI, vol. 10(11), pages 1-34, November.
  29. Wu, Bingjie & Cai, Wenjian & Chen, Haoran, 2021. "A model-based multi-objective optimization of energy consumption and thermal comfort for active chilled beam systems," Applied Energy, Elsevier, vol. 287(C).
  30. Prada, A. & Gasparella, A. & Baggio, P., 2018. "On the performance of meta-models in building design optimization," Applied Energy, Elsevier, vol. 225(C), pages 814-826.
  31. Costa, Andrea & Keane, Marcus M. & Torrens, J. Ignacio & Corry, Edward, 2013. "Building operation and energy performance: Monitoring, analysis and optimisation toolkit," Applied Energy, Elsevier, vol. 101(C), pages 310-316.
  32. Grillone, Benedetto & Danov, Stoyan & Sumper, Andreas & Cipriano, Jordi & Mor, Gerard, 2020. "A review of deterministic and data-driven methods to quantify energy efficiency savings and to predict retrofitting scenarios in buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
  33. 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.
  34. Shi, Xing & Tian, Zhichao & Chen, Wenqiang & Si, Binghui & Jin, Xing, 2016. "A review on building energy efficient design optimization rom the perspective of architects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 872-884.
  35. Machairas, Vasileios & Tsangrassoulis, Aris & Axarli, Kleo, 2014. "Algorithms for optimization of building design: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 101-112.
  36. Lin, Yu-Hao & Tsai, Kang-Ting & Lin, Min-Der & Yang, Ming-Der, 2016. "Design optimization of office building envelope configurations for energy conservation," Applied Energy, Elsevier, vol. 171(C), pages 336-346.
  37. Ramos Ruiz, Germán & Fernández Bandera, Carlos, 2017. "Analysis of uncertainty indices used for building envelope calibration," Applied Energy, Elsevier, vol. 185(P1), pages 82-94.
  38. Wu, Raphael & Mavromatidis, Georgios & Orehounig, Kristina & Carmeliet, Jan, 2017. "Multiobjective optimisation of energy systems and building envelope retrofit in a residential community," Applied Energy, Elsevier, vol. 190(C), pages 634-649.
  39. Ferreira, Joaquim & Pinheiro, Manuel Duarte & Brito, Jorge de, 2013. "Refurbishment decision support tools review—Energy and life cycle as key aspects to sustainable refurbishment projects," Energy Policy, Elsevier, vol. 62(C), pages 1453-1460.
  40. 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.
  41. Koo, Choongwan & Hong, Taehoon & Kim, Jimin & Kim, Hyunjoong, 2015. "An integrated multi-objective optimization model for establishing the low-carbon scenario 2020 to achieve the national carbon emissions reduction target for residential buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 410-425.
  42. Duc Binh Tran & Van Tan Tran & Xuan Anh Pham & Van Tuan Nguyen, 2023. "A General Framework for Sustainability Assessment of Buildings: A Life-Cycle Thinking Approach," Sustainability, MDPI, vol. 15(14), pages 1-21, July.
  43. Chi, Fang'ai & Xu, Ying, 2022. "Building performance optimization for university dormitory through integration of digital gene map into multi-objective genetic algorithm," Applied Energy, Elsevier, vol. 307(C).
  44. Ziortza Egiluz & Jesús Cuadrado & Andoni Kortazar & Ignacio Marcos, 2021. "Multi-Criteria Decision-Making Method for Sustainable Energy-Saving Retrofit Façade Solutions," Sustainability, MDPI, vol. 13(23), pages 1-25, November.
  45. Ramos Ruiz, Germán & Fernández Bandera, Carlos & Gómez-Acebo Temes, Tomás & Sánchez-Ostiz Gutierrez, Ana, 2016. "Genetic algorithm for building envelope calibration," Applied Energy, Elsevier, vol. 168(C), pages 691-705.
  46. Aste, Niccolò & Adhikari, R.S. & Manfren, Massimiliano, 2013. "Cost optimal analysis of heat pump technology adoption in residential reference buildings," Renewable Energy, Elsevier, vol. 60(C), pages 615-624.
  47. Francesca Nocca & Mariarosaria Angrisano, 2022. "The Multidimensional Evaluation of Cultural Heritage Regeneration Projects: A Proposal for Integrating Level(s) Tool—The Case Study of Villa Vannucchi in San Giorgio a Cremano (Italy)," Land, MDPI, vol. 11(9), pages 1-27, September.
  48. Fabrizio Cumo & Elisa Pennacchia & Claudia Zylka, 2023. "Energy-Efficient Solutions: A Multi-Criteria Decision Aid Tool to Achieve the Targets of the European EPDB Directive," Energies, MDPI, vol. 16(17), pages 1-18, August.
  49. Nguyen, Anh-Tuan & Reiter, Sigrid & Rigo, Philippe, 2014. "A review on simulation-based optimization methods applied to building performance analysis," Applied Energy, Elsevier, vol. 113(C), pages 1043-1058.
  50. Ferrara, Maria & Rolfo, Andrea & Prunotto, Federico & Fabrizio, Enrico, 2019. "EDeSSOpt – Energy Demand and Supply Simultaneous Optimization for cost-optimized design: Application to a multi-family building," Applied Energy, Elsevier, vol. 236(C), pages 1231-1248.
  51. Schütz, Thomas & Schiffer, Lutz & Harb, Hassan & Fuchs, Marcus & Müller, Dirk, 2017. "Optimal design of energy conversion units and envelopes for residential building retrofits using a comprehensive MILP model," Applied Energy, Elsevier, vol. 185(P1), pages 1-15.
  52. Østergård, Torben & Jensen, Rasmus L. & Maagaard, Steffen E., 2016. "Building simulations supporting decision making in early design – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 61(C), pages 187-201.
  53. Salata, Ferdinando & Ciancio, Virgilio & Dell'Olmo, Jacopo & Golasi, Iacopo & Palusci, Olga & Coppi, Massimo, 2020. "Effects of local conditions on the multi-variable and multi-objective energy optimization of residential buildings using genetic algorithms," Applied Energy, Elsevier, vol. 260(C).
  54. Kayakutlu, Gulgun & Daim, Tugrul & Kunt, Meltem & Altay, Ayca & Suharto, Yulianto, 2017. "Scenarios for regional waste management," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 1323-1335.
  55. Meng, Xiangxin & Liu, Yan & Wang, Shangyu & Chen, Feiyu & Cao, Qimeng & Yang, Liu, 2022. "A fast solar architecture design method towards zero heating energy: A SHF-SLR-based model and its parameters," Energy, Elsevier, vol. 258(C).
  56. Gencel, Osman & Danish, Aamar & Yilmaz, Mukremin & Erdogmus, Ertugrul & Sutcu, Mucahit & Sadak, Ferhat & Ozbakkaloglu, Togay, 2024. "Performance evaluation of phosphor-based luminescent bricks using different coating methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
  57. Benjamin Kubwimana & Hamidreza Najafi, 2023. "A Novel Approach for Optimizing Building Energy Models Using Machine Learning Algorithms," Energies, MDPI, vol. 16(3), pages 1-16, January.
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