Open Access
Issue |
Sust. Build.
Volume 7, 2024
|
|
---|---|---|
Article Number | 3 | |
Number of page(s) | 7 | |
Section | Advanced Daylight Systems and Lighting Performance | |
DOI | https://doi.org/10.1051/sbuild/2024003 | |
Published online | 19 June 2024 |
- F. Salata, I. Golasi, M. di Salvatore, A.L. Vollaro, Energy and reliability optimization of a system that combines daylighting and artificial sources. A case study carried out in academic buildings, Appl. Energ. 169, 250–266 (2016) [Google Scholar]
- A. Hammad, A. Akbarnezhad, H. Grzybowska, P. Wu, X. Wang, Mathematical optimisation of location and design of windows by considering energy performance, lighting and privacy of buildings, Smart Sustain. Built 8, 117–137 (2019) [CrossRef] [Google Scholar]
- Q. Gao, Y. Yang, Q. Wang, An integrated simulation method for PVSS parametric design using multi-objective optimization, Front. Architect. Res. 11, 509–526 (2022) [CrossRef] [Google Scholar]
- B.J. Futrell, E.C. Ozelkan, D. Brentrup, Optimizing complex building design for annual daylighting performance and evaluation of optimization algorithms, Energ. Buildings 92, 234–245 (2015) [CrossRef] [Google Scholar]
- I.G. Dino, G. Ucoluk, Multiobjective design optimization of building space layout, energy, and daylighting performance, J. Comput. Civil Eng. 31, 4017025.1–4017025.18 (2017) [Google Scholar]
- Y. Lu, T. Wolf, J. Kang, Optimization of facade design based on the impact of interior obstructions to daylighting, Archit. Simul. 009, 1–14 (2016) [Google Scholar]
- J. Zhang, L. Ji, S. Cunha, Optimization and prediction of energy consumption, daylighting, and thermal comfort of buildings in tropical areas, Adv. Civ. Eng. 2022, 1.1–1.14 (2022) [Google Scholar]
- J. Wang, J. Guo, Multiobjective optimization of the intergenerational residential space with the goal of daylighting and thermal comfort, J. Green Build. 18, 225–244 (2023) [CrossRef] [Google Scholar]
- J. Fang, Y. Zhao, Z. Tian, P. Lin, Analysis of dynamic louver control with prism redirecting fenestrations for office daylighting optimization, Energ. Buildings 262, 1–21 (2022) [Google Scholar]
- M. Talaei, M. Mahdavinejad, R. Azari, A. Prieto, H. Sangin, Multi-objective optimization of building-integrated microalgae photobioreactors for energy and daylighting performance, J. Build. Eng. 42, 102832 (2021) [CrossRef] [Google Scholar]
- Y. Dong, C. Sun, Y. Han, Q. Liu, Intelligent optimization: a novel framework to automatize multi-objective optimization of building daylighting and energy performances, J. Build. Eng. 43, 102804 (2021) [CrossRef] [Google Scholar]
- Y. Fang, S. Cho, Design optimization of building geometry and fenestration for daylighting and energy performance, Sol. Energy 191, 7–18 (2019) [CrossRef] [Google Scholar]
- L. Zhu, B. Wang, Y. Sun, Multi-objective optimization for energy consumption, daylighting and thermal comfort performance of rural tourism buildings in north China, Build. Environ. 176, 106841 (2020) [CrossRef] [Google Scholar]
- H. Aria, H. Akbari, Optimisation of night-time ventilation parameters to reduce building”s energy consumption by integrating DOE2 and MATLAB, Int. J. Sol. Energy 34, 516–527 (2015) [Google Scholar]
- C. Mihail-Bogdan, I. Constantin, N. Horia, The influence of genetic algorithm parameters over the efficiency of the energy consumption estimation in a low-energy building &z.star;, Energy Proc. 85, 99–108 (2016) [CrossRef] [Google Scholar]
- X. Wang, W. Cai, J. Lu, Y. Sun, L. Zhao, Model-based optimization strategy of chiller driven liquid desiccant dehumidifier with genetic algorithm, Energy 82, 939–948 (2015) [CrossRef] [Google Scholar]
- M. Kaliappan, S. Augustine, B. Paramasivan, Enhancing energy efficiency and load balancing in mobile ad hoc network using dynamic genetic algorithms, J. Netw. Comput. Appl. 73, 35–43 (2016) [CrossRef] [Google Scholar]
- Q. Deng, X. Gao, H. Zhou, W. Hu, System modeling and optimization of microgrid using genetic algorithm, Energy Energy Conserv. 1, 540–544 (2015) [Google Scholar]
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