Multi-objective genetic optimization of embodied and operational energy and carbon impacts of buildings in current and future scenarios DOI
Maryam Abbasi Kamazani, Manish Dixit,

Sejal Sanjay Shanbhag

et al.

Energy and Buildings, Journal Year: 2025, Volume and Issue: unknown, P. 115748 - 115748

Published: April 1, 2025

Language: Английский

Sustainable development by carbon emission reduction and its quantification: an overview of current methods and best practices DOI
Neha Singh, R. L. Sharma, Kundan Yadav

et al.

Asian Journal of Civil Engineering, Journal Year: 2023, Volume and Issue: 24(8), P. 3797 - 3822

Published: June 1, 2023

Language: Английский

Citations

12
Optimal design of building integrated energy systems by combining two-phase optimization and a data-driven model DOI

Kaichen Qu,

Hong Zhang, Xin Zhou

et al.

Energy and Buildings, Journal Year: 2023, Volume and Issue: 295, P. 113304 - 113304

Published: June 27, 2023

Language: Английский

Citations

12
Improving building resilience in the face of future climate uncertainty: A comprehensive framework for enhancing building life cycle performance DOI
Ruijun Chen, Holly Samuelson, Yukai Zou

et al.

Energy and Buildings, Journal Year: 2023, Volume and Issue: 302, P. 113761 - 113761

Published: Nov. 19, 2023

Language: Английский

Citations

12
Genetic algorithm-based multi-objective optimisation for energy-efficient building retrofitting: A systematic review DOI Creative Commons
Konstantinos Alexakis,

Vasilis Benekis,

Panagiotis Kokkinakos

et al.

Energy and Buildings, Journal Year: 2024, Volume and Issue: unknown, P. 115216 - 115216

Published: Dec. 1, 2024

Language: Английский

Citations

4
Analysis of the LCA-Emergy and Carbon Emissions Sustainability Assessment of a Building System with Coupled Energy Storage Modules DOI Creative Commons
Junxue Zhang,

Zhihong Pan,

Yingnan Li

et al.

Buildings, Journal Year: 2025, Volume and Issue: 15(2), P. 151 - 151

Published: Jan. 7, 2025

This paper uses a perspective of life cycle ecological emergy and carbon footprint to quantitatively verify the sustainable status building systems; it also employs neural network model predict analyze their long-term effects. The research results show that stages material production operation play major role in emissions entire system, changes an inverse trend. As system operates, greater loss consumption, environmental load rate (ELR) will gradually increase, sustainability parameter (ESI) decrease. integration energy storage modules significantly improves system. When calculated over five time periods (5 years, 10 20 30 50 years), overall emission reduction rates after adding module are 39.4%, 33.6%, 39.2%, 42.5%, 38.8% respectively, demonstrating has significant positive effect on study reveals efficiency impact throughout its cycle, providing scientific basis for optimizing design.

Language: Английский

Citations

0
A study on carbon emission flow tracking for new type power systems DOI Creative Commons

Jiang Hu,

Ke Qin, Rui Ma

et al.

International Journal of Electrical Power & Energy Systems, Journal Year: 2025, Volume and Issue: 165, P. 110455 - 110455

Published: Jan. 15, 2025

Language: Английский

Citations

0
Multi-performance coupled optimization drives low-carbon retrofitting of site museums DOI
Shanshan Yao,

Shugang Yu,

Hu Cao

et al.

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112689 - 112689

Published: Feb. 1, 2025

Language: Английский

Citations

0
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
Large disparities in spatiotemporal distributions of building carbon emissions across China DOI

Jinpei Ou,

Jin Xie,

Xiaoping Liu

et al.

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112778 - 112778

Published: Feb. 1, 2025

Language: Английский

Citations

0
Carbon emission assessment and interpretability improvement empowered by machine learning: A case study in four cities, China DOI
Zhan Jin, Wenjing He, Eugenia Gasparri

et al.

Energy and Buildings, Journal Year: 2025, Volume and Issue: unknown, P. 115530 - 115530

Published: Feb. 1, 2025

Language: Английский

Citations

0