From Ostads to Architects: Evolution of Iranian Architectural Practices in Residential Buildings DOI
Sadaf Alikhani, Asma Mehan

Published: Jan. 1, 2024

Language: Английский

Building energy consumption prediction using multilayer perceptron neural network-assisted models; comparison of different optimization algorithms DOI
Sadegh Afzal,

Behrooz M. Ziapour,

Afshar Shokri

et al.

Energy, Journal Year: 2023, Volume and Issue: 282, P. 128446 - 128446

Published: July 15, 2023

Language: Английский

Citations

120
Predicting the energy consumption in buildings using the optimized support vector regression model DOI
Wei Cai,

Xiaodong Wen,

Chaoen Li

et al.

Energy, Journal Year: 2023, Volume and Issue: 273, P. 127188 - 127188

Published: March 13, 2023

Language: Английский

Citations

59
Building energy consumption prediction and optimization using different neural network-assisted models; comparison of different networks and optimization algorithms DOI
Sadegh Afzal, Afshar Shokri,

Behrooz M. Ziapour

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2023, Volume and Issue: 127, P. 107356 - 107356

Published: Nov. 9, 2023

Language: Английский

Citations

47
Proposing hybrid prediction approaches with the integration of machine learning models and metaheuristic algorithms to forecast the cooling and heating load of buildings DOI
He Dasi, Ying Zhang,

MD Faisal Bin Ashab

et al.

Energy, Journal Year: 2024, Volume and Issue: 291, P. 130297 - 130297

Published: Jan. 15, 2024

Language: Английский

Citations

30
A Multi-objective Optimization of Window and Light Shelf Design in Office Buildings to Improve Occupants’ Thermal and Visual Comfort DOI Creative Commons
Fatemeh Rezaei, Hamed Sangin, Milad Heiranipour

et al.

Journal of Daylighting, Journal Year: 2024, Volume and Issue: 11(1), P. 55 - 68

Published: April 29, 2024

In office buildings, an efficient design of windows and using light shelves as a passive strategy significantly influence the thermal visual comfort occupants while enhancing productivity health users. This study proposes multi-objective optimization for optimal in buildings to improve occupants' comfort. Initially, parametric model was developed Grasshopper software. Afterward, Honeybee energy daylight plugin employed simulating conditions, finally, conducted with Octopus plugin. can determine best solution compromise decision maximizing this paper, building Tehran has been chosen case study. The variables are window-to-wall ratio (WWR), shading control strategy, viewpoint, transmission glass, shelf length, height. objective functions annual average Predicted Percentage Dissatisfied (PPD) Discomfort Glare Probability (DGP). According results, proposed leads 18.5–70.1% 9.3–57.1% reduction DGP PPD indexes, respectively. findings provide practical useful instruction architects select specifications develop buildings.

Language: Английский

Citations

7
Exergoeconomic and exergoenvironmental analysis and optimization of an integrated double-flash-binary geothermal system and dual-pressure ORC using zeotropic mixtures; multi-objective optimization DOI
Huiling Chen, Yuxuan Liu, Eun‐Young Nam

et al.

Energy, Journal Year: 2023, Volume and Issue: 283, P. 128367 - 128367

Published: July 11, 2023

Language: Английский

Citations

15
The feasibility of integrating three different thermal desalination units and a geothermal cycle combined with a modified Kalina cycle DOI

Jianzi Liu,

Xi Chen, Arivalagan Pugazhendhi

et al.

Desalination, Journal Year: 2023, Volume and Issue: 560, P. 116610 - 116610

Published: April 11, 2023

Language: Английский

Citations

11
Predicting the consumed heating energy at residential buildings using a combination of categorical boosting (CatBoost) and Meta heuristics algorithms DOI
He Dasi, Ying Zhang, Boyuan Yang

et al.

Journal of Building Engineering, Journal Year: 2023, Volume and Issue: 71, P. 106584 - 106584

Published: April 17, 2023

Language: Английский

Citations

9
Subjective and Simulation-Based Analysis of Discomfort Glare Metrics in Office Buildings with Light Shelf Systems DOI Open Access
Amir Faraji, Fatemeh Rezaei, Payam Rahnamayiezekavat

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(15), P. 11885 - 11885

Published: Aug. 2, 2023

Glare is a kind of physiological phenomenon that influences occupants’ visual comfort. Discomfort glare scenes in comparison to other levels have been difficult estimate and need accurate reliable metrics. In contemporary architecture, the glass façade so popular since it can remarkably minimize energy consumption buildings maximize daylight utilization as natural energy. However, necessary consider discomfort due daylighting risks during initial stage design. Since measured metrics should an acceptable correlation with human subject data study, agreement on indices complicated. This paper presents between subjective simulation-based analysis offices light shelf system. The considered this study include Daylight Index (DGI), CIE (CGI), Visual Comfort Probability (VCP), Unified Rating (UGR), (DGP). parallel was conducted by using simulation questionnaire surveys determine which criteria are more useful under different conditions. According findings, DGP yields most results based VCP has lowest accuracy each stage. UGR also highest rate for evaluating perceptible glare, DGI applicable assessing imperceptible CGI be index approximating intolerable glare. significantly reduce complexity problem provide guidance designers select metric climatic

Language: Английский

Citations

9
Building heating energy demand estimated by random forest model in individual and hybrid approaches DOI

Huijiao Nie

Journal of Ambient Intelligence and Humanized Computing, Journal Year: 2025, Volume and Issue: unknown

Published: April 10, 2025

Language: Английский

Citations

0