create a website

Controllable cross-building multi-objective optimisation for NZEBs: A framework Utilising parametric generation and intelligent algorithms. (2024). Cui, Yuanlong ; Wang, Yanzheng ; Fang, Tao ; Liu, Ruijie.
In: Applied Energy.
RePEc:eee:appene:v:374:y:2024:i:c:s0306261924013862.

Full description at Econpapers || Download paper

Cited: 0

Citations received by this document

Cites: 64

References cited by this document

Cocites: 33

Documents which have cited the same bibliography

Coauthors: 0

Authors who have wrote about the same topic

Citations

Citations received by this document

    This document has not been cited yet.

References

References cited by this document

  1. Abdou, N. ; El Mghouchi, Y. ; Jraida, K. Prediction and optimisation of heating and cooling loads for low energy buildings in Morocco: an application of hybrid machine learning methods. 2022 J Build Eng. 61 -
    Paper not yet in RePEc: Add citation now

  2. Abokersh, M.H. ; Spiekman, M. ; Vijlbrief, O. ; van Goch, T.A.J. ; Vallès, M. ; Boer, D. A real-time diagnostic tool for evaluating the thermal performance of nearly zero energy buildings. 2021 Appl Energy. 281 -

  3. Ahluwalia, M.S. ; Patel, U. Getting to net zero: An approach for India at CoP-26. 2021 :
    Paper not yet in RePEc: Add citation now
  4. Ali, U. ; Bano, S. ; Shamsi, M.H. ; Sood, D. ; Hoare, C. ; Zuo, W. Urban building energy performance prediction and retrofit analysis using data-driven machine learning approach. 2024 Energ Build. 303 -
    Paper not yet in RePEc: Add citation now
  5. Blank, J. ; Deb, K. Pymoo: multi-objective optimisation in python. 2020 IEEE Access. 8 89497-89509
    Paper not yet in RePEc: Add citation now
  6. Center, China Meteorological Information Chinese building thermal environment analysis of specialized meteorological data collection. 2005 Chinese Architecture Industry Press: Beijing
    Paper not yet in RePEc: Add citation now
  7. Chastas, P. ; Theodosiou, T. ; Bikas, D. Embodied energy in residential buildings-towards the nearly zero energy building: a literature review. 2016 Build Environ. 105 267-282
    Paper not yet in RePEc: Add citation now
  8. Crawley, D.B. ; Lawrie, L.K. ; Winkelmann, F.C. ; Buhl, W.F. ; Huang, Y.J. ; Pedersen, C.O. EnergyPlus: creating a new-generation building energy simulation program. 2001 Energ Build. 33 319-331
    Paper not yet in RePEc: Add citation now
  9. D’Agostino, D. ; Mazzarella, L. What is a nearly zero energy building? Overview, implementation and comparison of definitions. 2019 J Build Eng. 21 200-212
    Paper not yet in RePEc: Add citation now
  10. D’Agostino, D. ; Minelli, F. ; Minichiello, F. New genetic algorithm-based workflow for multi-objective optimisation of net zero energy buildings integrating robustness assessment. 2023 Energ Build. 284 -
    Paper not yet in RePEc: Add citation now
  11. Davis, D. Modelled on software engineering: Flexible parametric models in the practice of architecture. 2013 PhD: Australia
    Paper not yet in RePEc: Add citation now
  12. Deb, K. ; Jain, H. An evolutionary many-objective optimisation algorithm using reference-point-based nondominated sorting approach, part I: solving problems with box constraints. 2014 IEEE Trans Evol Comput. 18 577-601
    Paper not yet in RePEc: Add citation now
  13. Deb, K. ; Pratap, A. ; Agarwal, S. ; Meyarivan, T. A fast and elitist multiobjective genetic algorithm: NSGA-II. 2002 IEEE Trans Evol Comput. 6 182-197
    Paper not yet in RePEc: Add citation now
  14. Deb, K. ; Thiele, L. ; Laumanns, M. ; Zitzler, E. Scalable test problems for evolutionary multiobjective optimisation. 2005 En : Abraham, A. ; Jain, L. ; Goldberg, R. Evolutionary multiobjective optimisation: Theoretical advances and applications. Springer: London
    Paper not yet in RePEc: Add citation now
  15. Deshwal, S. ; Kumar, A. ; Chhabra, D. Exercising hybrid statistical tools GA-RSM, GA-ANN and GA-ANFIS to optimize FDM process parameters for tensile strength improvement. 2020 CIRP J Manuf Sci Technol. -
    Paper not yet in RePEc: Add citation now
  16. Economidou, M. ; Todeschi, V. ; Bertoldi, P. Review of 50 years of EU energy efficiency policies for buildings. 2020 Energ Build. 225 -
    Paper not yet in RePEc: Add citation now
  17. Elbeltagi, E. ; Wefki, H. Predicting energy consumption for residential buildings using ANN through parametric modeling. 2021 Energy Rep. 7 2534-2545
    Paper not yet in RePEc: Add citation now
  18. Fang, X. Transferability investigation of a Sim2Real deep transfer learning framework for cross-building energy prediction. 2023 Energ Build. 287 -
    Paper not yet in RePEc: Add citation now
  19. Fatiha, B. ; Sameh, B. ; Youcef, S. ; Zeineddine, D. ; Nacer, R. Comparison of artificial neural network (ANN) and response surface methodology (RSM) in optimisation of the immobilization conditions for lipase from Candida rugosa on AMBERJET® 4200-cl: preparative. 2011 Biochem Biotechnol. 43 1-11
    Paper not yet in RePEc: Add citation now

  20. Ferrara, M. ; Della Santa, F. ; Bilardo, M. ; De Gregorio, A. ; Mastropietro, A. ; Fugacci, U. Design optimisation of renewable energy systems for NZEBs based on deep residual learning. 2021 Renew Energy. 176 590-605

  21. García-Gáfaro, C. ; Escudero-Revilla, C. ; Flores-Abascal, I. ; Hidalgo-Betanzos, J.M. ; Erkoreka-González, A. A photovoltaic forced ventilated façade (PV-FVF) as heat source for a heat pump: assessing its energetical profit in nZEB buildings. 2022 Energ Build. 261 -
    Paper not yet in RePEc: Add citation now
  22. Guo, J. ; Zhou, J. ; Li, M. Based on ANN and many-objective optimisation to improve the performance and economy of village houses in Chinese cold regions. 2023 J Build Perform Simul. 1-11
    Paper not yet in RePEc: Add citation now
  23. Han, Z. ; Li, X. ; Sun, J. ; Wang, M. ; Liu, G. An interactive multi-criteria decision-making method for building performance design. 2023 Energ Build. 282 -
    Paper not yet in RePEc: Add citation now
  24. Huo, H. ; Xu, W. ; Li, A. ; Chu, J. ; Lv, Y. Sensitivity analysis and prediction of shading effect of external venetian blind for nearly zero-energy buildings in China. 2021 J Build Eng. 41 -
    Paper not yet in RePEc: Add citation now
  25. International Energy Agency, Global Alliance for Buildings and Construction, Global status report for buildings and construction. 2019 Paris. 2019 -
    Paper not yet in RePEc: Add citation now

  26. Kerdan, Garcia ; Raslan, R. ; Ruyssevelt, P. ; Morillon, Galvez D. ExRET-opt: an automated exergy/exergoeconomic simulation framework for building energy retrofit analysis and design optimisation. 2017 Appl Energy. 192 33-58

  27. Kerdan, I.G. ; Gálvez, D.M. ANNEXE: an open-source building energy design optimisation framework using artificial neural networks and genetic algorithms. 2022 J Clean Prod. 371 -
    Paper not yet in RePEc: Add citation now

  28. Kheiri, F. A review on optimisation methods applied in energy-efficient building geometry and envelope design. 2018 Renew Sust Energ Rev. 92 897-920

  29. Konhäuser, K. ; Wenninger, S. ; Werner, T. ; Wiethe, C. Leveraging advanced ensemble models to increase building energy performance prediction accuracy in the residential building sector. 2022 Energ Build. 269 -
    Paper not yet in RePEc: Add citation now
  30. Li, C. ; Chen, Y. A multi-factor optimisation method based on thermal comfort for building energy performance with natural ventilation. 2023 Energ Build. 285 -
    Paper not yet in RePEc: Add citation now
  31. Li, E. ; Chen, L. ; Zhang, T. ; Zhu, J. ; Hou, R. A nearly zero energy building design method based on architecture form design for high solar exposure areas in China’s severe cold and cold regions. 2022 J Build Eng. 45 -
    Paper not yet in RePEc: Add citation now
  32. Li, G. ; Wu, Y. ; Liu, J. Performance evaluation of short-term cross-building energy predictions using deep transfer learning strategies. 2022 Energ Build. 275 -
    Paper not yet in RePEc: Add citation now
  33. Li, K. ; Chen, R. ; Fu, G. ; Yao, X. Two-archive evolutionary algorithm for constrained multiobjective optimisation. 2019 IEEE Trans Evol Comput. 23 303-315
    Paper not yet in RePEc: Add citation now
  34. Lin, B. ; Chen, Z. Net zero energy building evaluation, validation and reflection – a successful project application. 2022 Energ Build. 261 -
    Paper not yet in RePEc: Add citation now
  35. Liu, C.-L. ; Tseng, C.-J. ; Huang, T.-H. ; Yang, J.-S. ; Huang, K.-B. A multi-task learning model for building electrical load prediction. 2023 Energ Build. 278 -
    Paper not yet in RePEc: Add citation now
  36. Liu, Y. ; Chen, H.Y. ; Wang, X.J. Research on green renovations of existing public buildings based on a cloud model -TOPSIS method. 2021 J Build Eng. 34 -
    Paper not yet in RePEc: Add citation now
  37. Lu, F. ; Yu, Z. ; Zou, Y. ; Yang, X. Cooling system energy flexibility of a nearly zero-energy office building using building thermal mass: potential evaluation and parametric analysis. 2021 Energ Build. 236 -
    Paper not yet in RePEc: Add citation now
  38. Luo, Z. ; Lu, Y. ; Cang, Y. ; Yang, L. Study on dual-objective optimisation method of life cycle energy consumption and economy of office building based on HypE genetic algorithm. 2022 Energ Build. 256 -
    Paper not yet in RePEc: Add citation now
  39. Mousavi, S.N. ; Villarreal-Marroquín, M.G. ; Hajiaghaei-Keshteli, M. ; Smith, N.R. Data-driven prediction and optimisation toward net-zero and positive-energy buildings: a systematic review. 2023 Build Environ. 242 -
    Paper not yet in RePEc: Add citation now
  40. Pikas, E. ; Thalfeldt, M. ; Kurnitski, J. Cost optimal and nearly zero energy building solutions for office buildings. 2014 Energ Build. 74 30-42
    Paper not yet in RePEc: Add citation now

  41. Pilechiha, P. ; Mahdavinejad, M.J. ; Pour Rahimian, F. ; Carnemolla, P. ; Seyedzadeh, S. Multi-objective optimisation framework for designing office windows: quality of view, daylight and energy efficiency. 2020 Appl Energy. 261 -

  42. Razmi, A. ; Rahbar, M. ; Bemanian, M. PCA-ANN integrated NSGA-III framework for dormitory building design optimisation: energy efficiency, daylight, and thermal comfort. 2022 Appl Energy. 305 -

  43. Reinhart, C.F. ; Walkenhorst, O. Validation of dynamic RADIANCE-based daylight simulations for a test office with external blinds. 2001 Energ Build. 33 683-697
    Paper not yet in RePEc: Add citation now
  44. Reyes-Sierra, M. ; Coello Coello, C.A. Multi-objective particle swarm optimizers: a survey of the state-of-the-art. 2006 Int J Comput Intell Res. 2 287-308
    Paper not yet in RePEc: Add citation now
  45. Roudsari, M. ; Mackey, C. ; Yezioro, A. ; Harriman, C. Chopson P. 2014 Ahuja S: Honeybee
    Paper not yet in RePEc: Add citation now

  46. Seyedzadeh, S. ; Pour Rahimian, F. ; Oliver, S. ; Rodriguez, S. ; Glesk, I. Machine learning modelling for predicting non-domestic buildings energy performance: a model to support deep energy retrofit decision-making. 2020 Appl Energy. 279 -

  47. Son, H. ; Kim, C. Evolutionary many-objective optimisation for retrofit planning in public buildings: a comparative study. 2018 J Clean Prod. 190 403-410
    Paper not yet in RePEc: Add citation now
  48. Talaei, M. ; Sangin, H. Multi-objective optimisation of energy and daylight performance for school envelopes in desert, semi-arid, and mediterranean climates of Iran. 2024 Build Environ. -
    Paper not yet in RePEc: Add citation now
  49. Tang, F. ; Chen, J. ; Li, J. ; Rodriguez, D. Energy saving actions toward NZEBs with multiple-criteria optimisation in current residential buildings. 2020 Energy Rep. 6 3008-3022
    Paper not yet in RePEc: Add citation now
  50. Tartarini, F. ; Schiavon, S. Pythermalcomfort: a Python package for thermal comfort research. 2020 SoftwareX. 12 -
    Paper not yet in RePEc: Add citation now
  51. Thalfeldt, M. ; Pikas, E. ; Kurnitski, J. ; Voll, H. Facade design principles for nearly zero energy buildings in a cold climate. 2013 Energ Build. 67 309-321
    Paper not yet in RePEc: Add citation now

  52. Waibel, C. ; Evins, R. ; Carmeliet, J. Co-simulation and optimisation of building geometry and multi-energy systems: interdependencies in energy supply, energy demand and solar potentials. 2019 Appl Energy. 242 1661-1682

  53. Wang, Y. ; Wei, C. Design optimisation of office building envelope based on quantum genetic algorithm for energy conservation. 2020 J Build Eng. 32 -
    Paper not yet in RePEc: Add citation now
  54. Wetter, M. Generic Optimisation Program User Manual, Version 3.1. 1. Lawrence Berkeley National Laboratory, Berkeley, CA, USA. 2016 :
    Paper not yet in RePEc: Add citation now

  55. Wu, X. ; Li, X. ; Qin, Y. ; Xu, W. ; Liu, Y. Intelligent multiobjective optimisation design for NZEBs in China: four climatic regions. 2023 Appl Energy. 339 -

  56. Xu, Y. ; Zhang, G. ; Yan, C. ; Wang, G. ; Jiang, Y. ; Zhao, K. A two-stage multi-objective optimisation method for envelope and energy generation systems of primary and secondary school teaching buildings in China. 2021 Build Environ. 204 -
    Paper not yet in RePEc: Add citation now
  57. Yan, H. ; Yan, K. ; Ji, G. Optimisation and prediction in the early design stage of office buildings using genetic and XGBoost algorithms. 2022 Build Environ. 218 -
    Paper not yet in RePEc: Add citation now
  58. Yigit, S. A machine-learning-based method for thermal design optimisation of residential buildings in highly urbanized areas of Turkey. 2021 J Build Eng. 38 -
    Paper not yet in RePEc: Add citation now
  59. Zekić-Sušac, M. ; Has, A. ; Knežević, M. Predicting energy cost of public buildings by artificial neural networks, CART, and random forest. 2021 Neurocomputing. 439 223-233
    Paper not yet in RePEc: Add citation now

  60. Zhan, J. ; He, W. ; Huang, J. Comfort, carbon emissions, and cost of building envelope and photovoltaic arrangement optimisation through a two-stage model. 2024 Appl Energy. 356 -

  61. Zhan, J. ; He, W. ; Huang, J. Dual-objective building retrofit optimisation under competing priorities using artificial neural network. 2023 J Build Eng. 70 -
    Paper not yet in RePEc: Add citation now
  62. Zhang, Q. ; Li, H. MOEA/D: a multiobjective evolutionary algorithm based on decomposition. 2007 IEEE Trans Evol Comput. 11 712-731
    Paper not yet in RePEc: Add citation now
  63. Zhang, Y. Parallel EnergyPlus and the development of a parametric analysis tool. 2009 IBPSA BS2009. 27-30
    Paper not yet in RePEc: Add citation now
  64. Zhu, L. ; Wang, B. ; Sun, Y. Multi-objective optimisation for energy consumption, daylighting and thermal comfort performance of rural tourism buildings in North China. 2020 Build Environ. 176 -
    Paper not yet in RePEc: Add citation now

Cocites

Documents in RePEc which have cited the same bibliography

  1. Optimization of Renewable-Based Multi-Energy Systems in Residential Building Design. (2025). Panaras, Giorgos ; Anastasiadis, Georgios ; Kilis, Vasileios ; Ploskas, Nikolaos.
    In: Energies.
    RePEc:gam:jeners:v:18:y:2025:i:6:p:1541-:d:1616388.

    Full description at Econpapers || Download paper

  2. Design of flexible energy systems for nearly/net zero energy buildings under uncertainty characteristics: A review. (2024). Ma, Z J ; Sun, Y J ; Lu, M L ; Kokogiannakis, G.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:205:y:2024:i:c:s1364032124005549.

    Full description at Econpapers || Download paper

  3. Controllable cross-building multi-objective optimisation for NZEBs: A framework Utilising parametric generation and intelligent algorithms. (2024). Cui, Yuanlong ; Wang, Yanzheng ; Fang, Tao ; Liu, Ruijie.
    In: Applied Energy.
    RePEc:eee:appene:v:374:y:2024:i:c:s0306261924013862.

    Full description at Econpapers || Download paper

  4. Energy performance of a residential zero energy building energy system – R-CELLS at solar decathlon China 2022. (2024). Mu, Yunfei ; Tong, Yueheng ; Yang, Wei ; Li, Jie ; Zhang, Jiarui.
    In: Applied Energy.
    RePEc:eee:appene:v:371:y:2024:i:c:s0306261924011255.

    Full description at Econpapers || Download paper

  5. Enhancing cost-efficiency in achieving near-zero energy performance through integrated photovoltaic retrofit solutions. (2024). Vilela, O C ; Ochoa, A. A. V., ; Munguba, C. F. L., ; Michima, P. S. A., ; Leite, G. N. P., ; Kraj, A ; Silva, H. C. N., .
    In: Applied Energy.
    RePEc:eee:appene:v:367:y:2024:i:c:s0306261924006901.

    Full description at Econpapers || Download paper

  6. Design of an Algorithm for Modeling Multiple Thermal Zones Using a Lumped-Parameter Model. (2023). Selvas, Romeo ; de Cordoba, Pedro Fernandez ; Iglesias, Miguel E ; Carmenate, Jose Guerra ; Taborda, John ; Montes, Frank Florez.
    In: Energies.
    RePEc:gam:jeners:v:16:y:2023:i:5:p:2247-:d:1080965.

    Full description at Econpapers || Download paper

  7. Design optimization of a solar system integrated double-skin façade for a clustered housing unit. (2023). Kalogirou, S ; Barone, G ; Vassiliades, C ; Savvides, A.
    In: Renewable Energy.
    RePEc:eee:renene:v:215:y:2023:i:c:s0960148123009370.

    Full description at Econpapers || Download paper

  8. Performance analysis of triple glazing water flow window systems during winter season. (2023). Yama, Halil Brahim ; Koca, Ahmet.
    In: Energy.
    RePEc:eee:energy:v:282:y:2023:i:c:s0360544223022028.

    Full description at Econpapers || Download paper

  9. Sustainable energies and machine learning: An organized review of recent applications and challenges. (2023). Asadi, Somayeh ; Ifaei, Pouya ; Nazari-Heris, Morteza ; Yoo, Changkyoo ; Tayerani, Amir Saman.
    In: Energy.
    RePEc:eee:energy:v:266:y:2023:i:c:s0360544222033187.

    Full description at Econpapers || Download paper

  10. Intelligent multiobjective optimization design for NZEBs in China: Four climatic regions. (2023). Qin, Yawei ; Liu, Yang ; Wu, Xianguo ; Xu, Wen.
    In: Applied Energy.
    RePEc:eee:appene:v:339:y:2023:i:c:s0306261923002982.

    Full description at Econpapers || Download paper

  11. An Analysis of the Development of Modular Building Design Elements to Improve Thermal Performance of a Representative High Rise Residential Estate in the Coastline City of Famagusta, Cyprus. (2022). Altan, Hasim ; Ozarisoy, Bertug.
    In: Sustainability.
    RePEc:gam:jsusta:v:14:y:2022:i:7:p:4065-:d:782571.

    Full description at Econpapers || Download paper

  12. Optimal Control of Energy Systems in Net-Zero Energy Buildings Considering Dynamic Costs: A Case Study of Zero Carbon Building in Hong Kong. (2022). Huang, Zhijia ; Lu, Yuehong ; Zhou, Yijie ; Sun, Yanhong ; Zhang, Yang ; Liu, Xuemei ; Lv, Tao ; Wang, Changlong.
    In: Sustainability.
    RePEc:gam:jsusta:v:14:y:2022:i:6:p:3136-:d:766123.

    Full description at Econpapers || Download paper

  13. Multi-objective optimization of hybrid renewable energy systems with urban building energy modeling for a prototypical coastal community. (2022). Ang, Yu Qian ; Hernandez, Matthew ; Haji, Maha N ; Chambi, Gloria Bahl ; Kulkarni, Aparna ; Polly, Allison.
    In: Renewable Energy.
    RePEc:eee:renene:v:201:y:2022:i:p1:p:72-84.

    Full description at Econpapers || Download paper

  14. Building integration of active solar energy systems for façades renovation in the urban fabric: Effects on the thermal comfort in outdoor public spaces in Naples and Thessaloniki. (2022). Vassiliades, C ; Savvides, A ; Buonomano, A.
    In: Renewable Energy.
    RePEc:eee:renene:v:190:y:2022:i:c:p:30-47.

    Full description at Econpapers || Download paper

  15. Energy virtual networks based on electric vehicles for sustainable buildings: System modelling for comparative energy and economic analyses. (2022). Russo, Giuseppe ; Giuzio, Giovanni Francesco ; Barone, Giovanni ; Forzano, Cesare ; Buonomano, Annamaria ; Palombo, Adolfo.
    In: Energy.
    RePEc:eee:energy:v:242:y:2022:i:c:s0360544221031807.

    Full description at Econpapers || Download paper

  16. Long-term predictive energy analysis of a high-performance building in a mediterranean climate under climate change. (2022). Congedo, Paolo Maria ; Murrone, Graziano ; Lezzi, Dalila ; Baglivo, Cristina.
    In: Energy.
    RePEc:eee:energy:v:238:y:2022:i:pa:s0360544221018892.

    Full description at Econpapers || Download paper

  17. Automated computational design method for energy systems in buildings using capacity and operation optimization. (2022). Nagai, Tatsuo ; Ikeda, Shintaro ; Iijima, Fuyumi.
    In: Applied Energy.
    RePEc:eee:appene:v:306:y:2022:i:pa:s0306261921012782.

    Full description at Econpapers || Download paper

  18. Development of a Decisional Procedure Based on Fuzzy Logic for the Energy Retrofitting of Buildings. (2021). Barelli, Linda ; Bidini, Gianni ; Pinchi, Emilia Maria ; Belloni, Elisa ; Buratti, Cinzia.
    In: Sustainability.
    RePEc:gam:jsusta:v:13:y:2021:i:16:p:9318-:d:617597.

    Full description at Econpapers || Download paper

  19. Introductory Review of Energy Efficiency in Buildings Retrofits. (2021). Castro, Rui ; Santos, Maria Catarina ; Fernandes, Joana.
    In: Energies.
    RePEc:gam:jeners:v:14:y:2021:i:23:p:8100-:d:694381.

    Full description at Econpapers || Download paper

  20. Sustainability insights on emerging solar district heating technologies to boost the nearly zero energy building concept. (2021). Gangwar, Sachin ; Abokersh, Mohamed Hany ; Spiekman, Marleen ; Valles, Manel ; Jimenez, Laureano ; Boer, Dieter.
    In: Renewable Energy.
    RePEc:eee:renene:v:180:y:2021:i:c:p:893-913.

    Full description at Econpapers || Download paper

  21. Sustainability and Optimization: From Conceptual Fundamentals to Applications. (2020). Geem, Zong Woo ; Nasir, Mohammad ; Sadollah, Ali.
    In: Sustainability.
    RePEc:gam:jsusta:v:12:y:2020:i:5:p:2027-:d:329294.

    Full description at Econpapers || Download paper

  22. Artificial neural network structure optimisation for accurately prediction of exergy, comfort and life cycle cost performance of a low energy building. (2020). Kerdan, Ivan Garcia ; Galvez, David Morillon.
    In: Applied Energy.
    RePEc:eee:appene:v:280:y:2020:i:c:s0306261920313350.

    Full description at Econpapers || Download paper

  23. Exploring the trade-off in life cycle energy of building retrofit through optimization. (2020). Olofsson, Thomas ; Lidelow, Sofia ; Bhattacharjee, Shimantika ; Mukkavaara, Jani ; Shadram, Farshid.
    In: Applied Energy.
    RePEc:eee:appene:v:269:y:2020:i:c:s030626192030595x.

    Full description at Econpapers || Download paper

  24. Retrofit of villas on Mediterranean coastlines: Pareto optimization with a view to energy-efficiency and cost-effectiveness. (2019). Bianco, Nicola ; Mauro, Gerardo Maria ; Ascione, Fabrizio ; Napolitano, Davide Ferdinando.
    In: Applied Energy.
    RePEc:eee:appene:v:254:y:2019:i:c:s0306261919313923.

    Full description at Econpapers || Download paper

  25. A new comprehensive framework for the multi-objective optimization of building energy design: Harlequin. (2019). Bianco, Nicola ; Vanoli, Giuseppe Peter ; Mauro, Gerardo Maria ; Ascione, Fabrizio.
    In: Applied Energy.
    RePEc:eee:appene:v:241:y:2019:i:c:p:331-361.

    Full description at Econpapers || Download paper

  26. Energy Benchmarking in Educational Buildings through Cluster Analysis of Energy Retrofitting. (2018). Marrone, Paola ; Gori, Paola ; Evangelisti, Luca ; Calcagnini, Laura ; Grazieschi, Gianluca ; Asdrubali, Francesco.
    In: Energies.
    RePEc:gam:jeners:v:11:y:2018:i:3:p:649-:d:136272.

    Full description at Econpapers || Download paper

  27. A novel trigeneration system using geothermal heat source and liquefied natural gas cold energy recovery: Energy, exergy and exergoeconomic analysis. (2018). Parikhani, Towhid ; Rostamzadeh, Hadi ; Ghaebi, Hadi.
    In: Renewable Energy.
    RePEc:eee:renene:v:119:y:2018:i:c:p:513-527.

    Full description at Econpapers || Download paper

  28. Optimizing the insulation thickness of walls and roofs of existing buildings based on primary energy consumption, global cost and pollutant emissions. (2018). Fang, Zhou ; Zhao, Yunfeng ; Jie, Pengfei ; Wang, Hongbo ; Zhang, Fenghe.
    In: Energy.
    RePEc:eee:energy:v:159:y:2018:i:c:p:1132-1147.

    Full description at Econpapers || Download paper

  29. Hidden factors and handling strategies on virtual in-situ sensor calibration in building energy systems: Prior information and cancellation effect. (2018). Yu, Yuebin ; Yoon, Sung Min.
    In: Applied Energy.
    RePEc:eee:appene:v:212:y:2018:i:c:p:1069-1082.

    Full description at Econpapers || Download paper

  30. Optimisation analysis of PCM-enhanced opaque building envelope components for the energy retrofitting of office buildings in Mediterranean climates. (2018). Cascone, Ylenia ; Perino, Marco ; Capozzoli, Alfonso.
    In: Applied Energy.
    RePEc:eee:appene:v:211:y:2018:i:c:p:929-953.

    Full description at Econpapers || Download paper

  31. Multi-Objective Optimization of Building Energy Design to Reconcile Collective and Private Perspectives: CO 2 -eq vs. Discounted Payback Time. (2017). Hamdy, Mohamed ; Mauro, Gerardo Maria.
    In: Energies.
    RePEc:gam:jeners:v:10:y:2017:i:7:p:1016-:d:105054.

    Full description at Econpapers || Download paper

  32. A comparison of an energy/economic-based against an exergoeconomic-based multi-objective optimisation for low carbon building energy design. (2017). Raslan, Rokia ; Ruyssevelt, Paul ; Kerdan, Ivan Garcia ; Galvez, David Morillon.
    In: Energy.
    RePEc:eee:energy:v:128:y:2017:i:c:p:244-263.

    Full description at Econpapers || Download paper

  33. The role of an exergy-based building stock model for exploration of future decarbonisation scenarios and policy making. (2017). Raslan, Rokia ; Ruyssevelt, Paul ; Kerdan, Ivan Garcia ; Galvez, David Morillon.
    In: Energy Policy.
    RePEc:eee:enepol:v:105:y:2017:i:c:p:467-483.

    Full description at Econpapers || Download paper

Coauthors

Authors registered in RePEc who have wrote about the same topic

Report date: 2025-10-04 22:53:14 || Missing content? Let us know

CitEc is a RePEc service, providing citation data for Economics since 2001. Last updated August, 3 2024. Contact: Jose Manuel Barrueco.