Construction 4.0, Industry 4.0, and Building Information Modeling (BIM) for sustainable building development within the smart city

Y Chen, D Huang, Z Liu, M Osmani, P Demian - Sustainability, 2022 - mdpi.com
At present, the smart city offers the most desired state of urban development, encompassing,
as it does, the concept of sustainable development. The creation of a smart city is closely …

Study on comprehensive whole life carbon emission reduction potential and economic feasibility impact based on progressive energy-saving targets: A typical …

Y Kang, W Xu, J Wu, H Li, R Liu, S Lu, X Rong… - Journal of Building …, 2022 - Elsevier
To achieve carbon-neutral target in building sector, reaching green building and ultra-low
energy building (ULEB) goals are two progressive energy-saving targets for buildings in …

Deep reinforcement learning for multi-objective optimization in BIM-based green building design

Y Pan, Y Shen, J Qin, L Zhang - Automation in Construction, 2024 - Elsevier
For green building design, this paper proposes a multi-objective optimization (MOO)
framework to properly adjust design parameters using a deep reinforcement learning (DRL) …

[HTML][HTML] BIM-based building performance assessment of green buildings-A case study from China

Y Liu, W Pedrycz, M Deveci, ZS Chen - Applied Energy, 2024 - Elsevier
In China, traditional buildings have begun to exhibit a range of issues, such as elevated
levels of energy consumption and pollution. Consequently, these concerns have led to …

[HTML][HTML] Operational, embodied and whole life cycle assessment credits in green building certification systems: Desktop analysis and natural language processing …

OI Olanrewaju, WI Enegbuma, M Donn - Building and Environment, 2024 - Elsevier
Globally, the issue of climate change is becoming increasingly significant due to the rapid
change in weather conditions, and the construction industry contributes significantly to this …

BIM-driven building greenness evaluation system: An integrated perspective drawn from model data and collective experts' judgments

X Wu, Y Cao, W Liu, Y He, G Xu, ZS Chen, Y Liu… - Journal of Cleaner …, 2023 - Elsevier
Traditional buildings will lead to a series of problems such as high energy consumption,
high pollution, and serious waste of resources and environmental damage. It is of great …

[HTML][HTML] Assessing the environmental impact of building life cycle: A carbon reduction strategy through innovative design, intelligent construction, and secondary …

Q Meng, L Hu, M Li, X Qi - Developments in the Built Environment, 2023 - Elsevier
The sustainable development of low-carbon buildings has aroused widespread concern in
the whole society. This study aims to propose a three-step carbon reduction strategy based …

[PDF][PDF] Deep reinforcement learning for multi-criteria optimization in BIM-supported sustainable building design

R Parekh, C Smith, N Brown - International Journal of Science …, 2024 - researchgate.net
This paper introduces a multi-criteria optimization (MCO) framework tailored for sustainable
building design, leveraging a deep reinforcement learning (DRL) methodology to adjust …

Residential construction with a focus on evaluation of the life cycle of buildings

E Hromada, S Vitasek, J Holcman… - Buildings, 2021 - mdpi.com
The article focuses on highlighting the role of life cycle costing (LCC) in the preparatory and
implementation phase of residential projects. It involves the evaluation of several investment …

[HTML][HTML] Embodied carbon of BIM bridge models according to the application of off-site prefabrication: Precast concrete applied to superstructure and substructure

H Kim, S Roh, J Kim - Developments in the Built Environment, 2024 - Elsevier
Embodied carbon (EC) changes of bridges using PC and RC, were analyzed using BIM and
One-Click LCA. Identically shaped, concrete bridges (RC, PC, superstructure-only PC, and …