What lies ahead? The future performance of Global South residential buildings amid climate change: A systematic literature review DOI
Alexandre Santana Cruz, Vítor Freitas Mendes, Júlia Castro Mendes

et al.

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 111486 - 111486

Published: Dec. 1, 2024

Language: Английский

Exploratory literature review and scientometric analysis of artificial intelligence applied to geopolymeric materials DOI
Aldo Ribeiro de Carvalho, Romário Parreira Pita, Thaís Mayra de Oliveira

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2025, Volume and Issue: 145, P. 110210 - 110210

Published: Feb. 20, 2025

Language: Английский

Citations

1
Design and optimization of a mechanical metamaterial featuring dual tunability in auxeticity and bandgap modulation DOI
Jiayi Hu, Zhi Gong, Yuanlong Li

et al.

Composite Structures, Journal Year: 2025, Volume and Issue: unknown, P. 119050 - 119050

Published: March 1, 2025

Language: Английский

Citations

1
AI-Driven Design Optimization for Sustainable Buildings: A Systematic Review DOI Creative Commons

Piragash Manmatharasan,

Girma Bitsuamlak, Katarina Grolinger

et al.

Energy and Buildings, Journal Year: 2025, Volume and Issue: unknown, P. 115440 - 115440

Published: Feb. 1, 2025

Language: Английский

Citations

0
Machine learning model for predicting long-term energy consumption in buildings DOI Creative Commons
Aseel Hussien, Aref Maksoud,

Aisha Al-Dahhan

et al.

Discover Internet of Things, Journal Year: 2025, Volume and Issue: 5(1)

Published: March 3, 2025

Language: Английский

Citations

0
Automatic Information Gain-guided Convergence for refining building design parameters: Enhancing effectiveness and interpretability in Simulation-based Optimization DOI
Fan Xue, Qianyun Zhou

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112788 - 112788

Published: March 1, 2025

Language: Английский

Citations

0
Design optimization of climate-responsive rural residences in solar rich areas considering sustainability and occupant comfort DOI

C.-J. Luo,

Feng Chi,

Huizhi Zhong

et al.

Energy and Buildings, Journal Year: 2025, Volume and Issue: 336, P. 115546 - 115546

Published: March 5, 2025

Language: Английский

Citations

0
Machine Learning‐Driven Multi‐Objective Optimization of Microchannel Reactors for CO₂ Conversion DOI Creative Commons
Sandeep Kumar,

Parmod Kumar,

Kuljeet Singh

et al.

Advanced Sustainable Systems, Journal Year: 2025, Volume and Issue: unknown

Published: April 17, 2025

Abstract Recently, the power‐to‐gas (PtG) concept, specifically thermocatalytic CO₂ conversion via Sabatier process, emerges as a promising route for mitigating greenhouse gas emissions. The process transforms and H₂ into methane water under low‐temperature methanation conditions. This study suggests new way to improve performance of microchannel reactor by combining computational fluid dynamics (CFD), response surface methodology (RSM), machine learning (ML), multi‐objective optimization. Key design variables include inlet velocity, temperature, channel length ratios. RSM approach is generating datasets simulation; while, data augmentation assists ML model training. Six models—linear, ensemble, tree, Gaussian, support vector (SVM), neural networks are evaluated regression accuracy against RSM‐based correlation. Gaussian found superior integrated with optimization algorithm. A decision‐making score (DMS) levels normalizes indicators. It finds best designs rates ≈78.6% CH₄ selectivity close 99.9%. These results demonstrate an advanced significantly reducing demand (24 h 1.471 ms) CFD simulations; maintaining accuracy, thereby enabling cost‐effective, efficient solutions across various engineering applications in real‐world PtG applications.

Language: Английский

Citations

0
What lies ahead? The future performance of Global South residential buildings amid climate change: A systematic literature review DOI
Alexandre Santana Cruz, Vítor Freitas Mendes, Júlia Castro Mendes

et al.

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 111486 - 111486

Published: Dec. 1, 2024

Language: Английский

Citations

1