Results 121 to 130 of about 55,846 (347)

Integrated seismic and energy retrofitting of existing buildings: A state-of-the-art review

Journal of Building Engineering, 2022
Convenors D. Bournas, T. Triantafillou, D. Pohoryles, A. Marini, P. Morandi, F. Barbagallo, E. R. Baek, D. Oliveira, R. Monteiro, C. D. Vecchio, L. Koutas, F. D. Porto   +11 more
semanticscholar   +1 more source

The Role of Digital Twin Technology in Enhancing Energy Efficiency in Buildings: A Systematic Literature Review

Energy Science &Engineering, EarlyView.
Digital Twin (DT) technology enhances building energy efficiency by enabling continuous monitoring, predictive maintenance, and operational optimization within Building Energy Management Systems. Through real‐time data integration and simulation, DTs provide dynamic feedback loops that optimize performance, reduce operational costs, and improve ...
Suqi Wang, Congxiang Tian, Chao Zhou, Yihan Wu, Divine Senanu Ametefe, Dah John, Marvellous Agbeko Ametefe   +6 more
wiley   +1 more source

STUDY ON ANALYTICAL MODEL FOR STRUCTURAL PERFORMANCE EVALUATION OF R/C SOFT-FIRST STORY FRAME RETROFITTED WITH UFC PANELS

, 2022
Kazuho MISUMI, Tomohisa Mukai, Hidekazu Watanabe, Hideyuki Kinugasa   +3 more
openalex   +2 more sources

Estimation of the GCV of Coal Using Real‐Time Plant Data

Energy Science &Engineering, EarlyView.
ABSTRACT Online or real‐time strategies of estimating the gross calorific value (GCV) of coal are still not fully explored in academic literature, even though both conventional and sophisticated offline methods for estimating the GCV are well described.
Lethukuthula Nokwazi Vilakazi, Daniel Madyira   +1 more
wiley   +1 more source

Enhancing Energy Efficiency and Reducing Emissions in the Textile Industry of Bangladesh: A Pathway to Sustainability

Energy Science &Engineering, EarlyView.
The study shows how major energy consumption in different sectors of Bangladesh's textile industry, driven by conventional electric motors, can be reduced by adopting Variable Speed Drives (VSD) and High‐Efficiency Motors (HEM). VSDs lower energy use through speed reductions of 20%, 40%, and 60%, while HEMs improve efficiency under motor loads of 50 ...
Mohammad Ahsan Habib, M. Hasanuzzaman, Mohammed Moinul Islam, Muhammad Robiul Alam Robi, Hayat Mahamud Sabbir   +4 more
wiley   +1 more source

Reduction of PM10 Emission from A Retrofitted Multicyclone [PDF]

, 2019
M Dewika, M. Rashid, M.P. Khairuninisa, J. Nor Ruwaida, Y Y Sara   +4 more
openalex   +1 more source

Hydrogen Fuel Cell Technologies for Decarbonization: Opportunities, Challenges, and Strategic Pathways—A Comprehensive Review

Energy Science &Engineering, EarlyView.
ABSTRACT Hydrogen (H2) fuel cells are increasingly recognized as a cornerstone technology in the global transition toward clean energy due to their high efficiency and zero‐emission characteristics. This review synthesizes recent progress, challenges, and strategic pathways for the deployment of H2 fuel cells across the transportation, power generation,
Yash Sachin Gupta, Aarav Sachin Gupta, Rajkumar Sivanraju, K. R. Padmavathi, Ashok Kumar R., Prajith Prabakar   +5 more
wiley   +1 more source

Performance Monitoring of Photovoltaic Modules Using Machine‐Learning‐Based Solutions: A Survey of Current Trends

Energy Science &Engineering, EarlyView.
The graphical abstract presents the concept of applying machine‐learning algorithms to assess the performance of photovoltaic modules. Data from solar panels are fed to surrogates of intelligent models, to assess the following performance metrics: identifying faults, quantifying energy production and trend degradation over time. The combination of data
Nangamso Nathaniel Nyangiwe, Abraham Dimitri Kapim Kenfack, Nicolas Thantsha, Mandla Msimanga   +3 more
wiley   +1 more source

ASSESSMENT AND RETROFITTING OF A RC BUILDING THROUGH A MULTI-HAZARD APPROACH: SEISMIC RESISTANCE AND ROBUSTNESS [PDF]

, 2021
Martina Scalvenzi, Fabio Freddi, Fulvio Parisi   +2 more
openalex   +1 more source

Integrating Remote Sensing and Machine Learning for Enhanced Surface Urban Heat Island Analysis and Its Impact on Building Energy Demand

Energy Science &Engineering, EarlyView.
Satellite (MODIS) mapping links Urban Heat Island (UHI) intensity to city‐scale energy demand—higher daytime cooling demand and altered nighttime heating demand—supporting targeted mitigation and planning. ABSTRACT This study examines the surface urban heat island (SUHI) effect on building energy consumption in Tehran from 1998 to 2024, utilizing MODIS
Rasool Maroofiazar, Ali Maboudi Reveshti
wiley   +1 more source