Life Cycle Assessment in the Early Design Phase of Buildings: Strategies, Tools, and Future Directions DOI Creative Commons
Deepak Kumar, Kranti Kumar Maurya, Shailendra K. Mandal

et al.

Buildings, Journal Year: 2025, Volume and Issue: 15(10), P. 1612 - 1612

Published: May 10, 2025

The construction industry plays a significant role in global warming, accounting for 42% of primary energy use and 39% greenhouse gas (GHG) emissions worldwide. Life Cycle Assessment (LCA) has emerged as key methodology evaluating environmental impacts throughout building’s life cycle, yet its integration the early design phase remains limited. This review aims to examine strategies tools incorporating LCA enhance sustainability building construction. objectives this study are: (1) identify main challenges integrating into workflows, (2) analyze compare suitable early-stage assessments, (3) explore emerging trends technological advancements. A systematic literature was employed using Scopus database existing literature, identifying current practices, challenges, advancements implementation. total 56 studies were identified review. results highlight growing adoption Building Information Modeling (BIM), Artificial Intelligence (AI), parametric modeling streamlining integration. Despite these advancements, barriers such data scarcity, lack standardization, interoperability issues persist. Key findings suggest that simplified computational can improve accessibility real-time decision-making during design. concludes enhancing availability, refining methodologies, fostering collaboration between architects, engineers, policymakers are crucial mainstreaming sustainable provides actionable insights bridge gap goals decisions framework, ultimately supporting more environmentally responsible industry.

Language: Английский

Analyzing the impact of design factors on external walls in lightweight modular construction based on life-cycle analysis: energy, economic, and environmental trade-offs DOI

Yan Hu,

Zhengtao Ai, Guoqiang Zhang

et al.

Journal of Building Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 112090 - 112090

Published: Feb. 1, 2025

Language: Английский

Citations

2
A novel prescriptive approach for buildings’ insulation design considering embodied carbon DOI Creative Commons
Rocco di Filippo, Gianluca Maracchini, Rossano Albatici

et al.

Renewable and Sustainable Energy Reviews, Journal Year: 2025, Volume and Issue: 212, P. 115369 - 115369

Published: Jan. 22, 2025

Language: Английский

Citations

1
Machine learning-enhanced multi-objective optimization of integrated shading systems: Enhancing daylight availability, glare protection, and energy savings DOI

Wei Zhang,

Zhichao Ma, Han Qiu

et al.

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 113124 - 113124

Published: May 1, 2025

Language: Английский

Citations

0
Life Cycle Assessment in the Early Design Phase of Buildings: Strategies, Tools, and Future Directions DOI Creative Commons
Deepak Kumar, Kranti Kumar Maurya, Shailendra K. Mandal

et al.

Buildings, Journal Year: 2025, Volume and Issue: 15(10), P. 1612 - 1612

Published: May 10, 2025

The construction industry plays a significant role in global warming, accounting for 42% of primary energy use and 39% greenhouse gas (GHG) emissions worldwide. Life Cycle Assessment (LCA) has emerged as key methodology evaluating environmental impacts throughout building’s life cycle, yet its integration the early design phase remains limited. This review aims to examine strategies tools incorporating LCA enhance sustainability building construction. objectives this study are: (1) identify main challenges integrating into workflows, (2) analyze compare suitable early-stage assessments, (3) explore emerging trends technological advancements. A systematic literature was employed using Scopus database existing literature, identifying current practices, challenges, advancements implementation. total 56 studies were identified review. results highlight growing adoption Building Information Modeling (BIM), Artificial Intelligence (AI), parametric modeling streamlining integration. Despite these advancements, barriers such data scarcity, lack standardization, interoperability issues persist. Key findings suggest that simplified computational can improve accessibility real-time decision-making during design. concludes enhancing availability, refining methodologies, fostering collaboration between architects, engineers, policymakers are crucial mainstreaming sustainable provides actionable insights bridge gap goals decisions framework, ultimately supporting more environmentally responsible industry.

Language: Английский

Citations

0