Comparison of shading design between the northern and southern hemispheres: using the NSGA-II algorithm to reduce building energy consumption and improve occupants' comfort
暂无分享,去创建一个
Dat Tien Doan | Amirhosein Ghaffarianhoseini | A. Ghaffarianhoseini | Abdulbasit Almhafdy | Sarah Nazari | Payam Keshavarz Mirza Mohammadi
[1] A. Biswas,et al. A 2E, energy and environment performance of an optimized vernacular house for passive cooling - Case of North-East India , 2022, Building and Environment.
[2] Alessandro Premier. Solar shadings in contemporary New Zealand architecture: state of the art and future perspectives , 2022, Architectural Science Review.
[3] Amr S. Allam,et al. Investigating the performance of genetic algorithm and particle swarm for optimizing daylighting and energy performance of offices in Alexandria, Egypt , 2022, Smart and Sustainable Built Environment.
[4] Wen-shao Chang,et al. The Use of Horizontal Shading Devices to Alleviate Overheating in Residential Buildings in the Severe Cold Region and Cold Region of China , 2022, Buildings.
[5] E. E. Broday,et al. The role of internet of things (IoT) in the assessment and communication of indoor environmental quality (IEQ) in buildings: a review , 2022, Smart and Sustainable Built Environment.
[6] Amirhosein Ghaffarianhoseini,et al. Advanced control strategy to maximize view and control discomforting glare: a complex adaptive façade , 2022, Architectural Engineering and Design Management.
[7] Atthaillah,et al. Design Optimisation of Fixed and Adaptive Shading Devices on Four Façade Orientations of a High-Rise Office Building in the Tropics , 2021, Buildings.
[8] Xianguo Wu,et al. Optimizing energy efficiency and thermal comfort in building green retrofit , 2021 .
[9] B. Painter,et al. Parametric optimization of daylight, thermal and energy performance of middle school classrooms, case of hot and dry regions , 2021 .
[10] Mina Pouyanmehr,et al. Recommended angle of a modular dynamic façade in hot-arid climate: daylighting and energy simulation , 2021, Smart and Sustainable Built Environment.
[11] Huimin Huo,et al. Analysis and optimization of external venetian blind shading for nearly zero-energy buildings in different climate regions of China , 2021, Solar Energy.
[12] Henry Skates,et al. A dynamic vertical shading optimisation to improve view, visual comfort and operational energy , 2021, Open House International.
[13] Kynthia Chamilothori,et al. Window Size Effects on Subjective Impressions of Daylit Spaces: Indoor Studies at High Latitudes Using Virtual Reality , 2021, LEUKOS.
[14] Hong Xian Li,et al. Analysis of the impact of automatic shading control scenarios on occupant’s comfort and energy load , 2021, Applied Energy.
[15] Mehdi Khakzand,et al. Energy and Daylight Optimization of Shading Devices, Window Size, and Orientation for Educational Spaces in Tehran, Iran , 2021 .
[16] Md. Rakibul Hasan,et al. An investigation on the impact of shading devices on energy consumption of commercial buildings in the contexts of subtropical climate , 2021 .
[17] Ali Eydgahi,et al. A data-driven optimized daylight pattern for responsive facades design , 2021, Intelligent Buildings International.
[18] Wafaa Nadim,et al. Standardization of optimization methodology of daylighting and shading strategy: a case study of an architectural design studio – the German University in Cairo, Egypt , 2021 .
[19] Humaira Kanwal,et al. A Comparative Study on Daylight Performance Assessment of Light Shelves Based on Inclination , 2020, Mehran University Research Journal of Engineering and Technology.
[20] Jing Zhao,et al. Multi-objective optimization design for windows and shading configuration considering energy consumption and thermal comfort: A case study for office building in different climatic regions of China , 2020, Solar Energy.
[21] A. A. S. Bahdad,et al. Optimization of Daylight Performance Based on Controllable Light-shelf Parameters using Genetic Algorithms in the Tropical Climate of Malaysia , 2020, Journal of Daylighting.
[22] Roberto Lamberts,et al. Application and characterization of metamodels based on artificial neural networks for building performance simulation: A systematic review , 2020 .
[23] K. Aliakbari,et al. Sensitivity analysis and multi-objective optimization of energy consumption and thermal comfort by using interior light shelves in residential buildings , 2020 .
[24] Qi Jie Kwong. Light level, visual comfort and lighting energy savings potential in a green-certified high-rise building , 2020 .
[25] Yi Wu,et al. Glass Curtain Wall Technology and Sustainability in Commercial Buildings in Auckland, New Zealand , 2020 .
[26] Mohammadjavad Mahdavinejad,et al. Multi-objective optimisation framework for designing office windows: quality of view, daylight and energy efficiency , 2020, Applied Energy.
[27] Changhai Peng,et al. Integration of sun-tracking shading panels into window system towards maximum energy saving and non-glare daylighting , 2020 .
[28] Ehsan Naderi,et al. Multi-objective simulation-based optimization of controlled blind specifications to reduce energy consumption, and thermal and visual discomfort: Case studies in Iran , 2020, Building and Environment.
[29] Alessandro Premier,et al. Solar shading devices integrating smart materials: an overview of projects, prototypes and products for advanced façade design , 2019, Architectural Science Review.
[30] A. Mylona,et al. Impact of Low-E Window Films on Energy Consumption and CO2 Emissions of an Existing UK Hotel Building , 2019, Sustainability.
[31] John Mardaljevic,et al. Climate-Based Daylight Modelling for compliance verification: Benchmarking multiple state-of-the-art methods , 2019, Building and Environment.
[32] Hongxing Yang,et al. Approaching low-energy high-rise building by integrating passive architectural design with photovoltaic application , 2019, Journal of Cleaner Production.
[33] Richard E. Brown,et al. A review of advances for thermal and visual comfort controls in personal environmental control (PEC) systems , 2018, Intelligent Buildings International.
[34] Tilmann E. Kuhn,et al. A daylight optimized simulation-based shading controller for venetian blinds , 2017 .
[35] Jong-Hyun Kim,et al. Impacts of building envelope design factors upon energy loads and their optimization in US standard climate zones using experimental design , 2017 .
[36] Yuehong Su,et al. Controlling venetian blinds based on parametric design; via implementing Grasshopper’s plugins: A case study of an office building in Cairo , 2017 .
[37] Gyeong Yun,et al. Appropriate activation threshold of the external blind for visual comfort and lighting energy saving in different climate conditions , 2017 .
[38] Ramkishore Singh,et al. Uncertainty and sensitivity analyses of energy and visual performances of office building with external venetian blind shading in hot-dry climate , 2016 .
[39] Robert H. Crawford,et al. Directionally selective shading control in maritime sub-tropical and temperate climates: Life cycle energy implications for office buildings , 2016 .
[40] Li Li,et al. Performance evaluation of building integrated solar thermal shading system: Building energy consumption and daylight provision , 2016 .
[41] Umberto Berardi,et al. Analysis of the Impacts of Light Shelves on the Useful Daylight Illuminance in Office Buildings in Toronto , 2015 .
[42] Alberto Costa,et al. Advantages of surrogate models for architectural design optimization , 2015, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.
[43] Per Heiselberg,et al. Occupant satisfaction with two blind control strategies: Slats closed and slats in cut-off position , 2015 .
[44] Suzanne Wilkinson,et al. Management practice to achieve energy-efficient performance of green buildings in New Zealand , 2014 .
[45] Z. Erfan,et al. Effect of Fixed Louver Shading Devices on Thermal Efficiency , 2021, Iranian Journal of Energy and Environment.
[46] A. Mäkinen,et al. Architectural window design and energy efficiency: Impacts on heating, cooling and lighting needs in Finnish climates , 2020 .