Wangchuk, Jigme, Banihashemi, Saeed, Abbasianjahromi, Hamidreza and Antwi-Afari, Maxwell Fordjour (2024). Building Information Modelling in Hydropower Infrastructures:Design, Engineering and Management Perspectives. Infrastructures, 9 (7),
Abstract
Building Information Modelling (BIM) has emerged as a transformative force in the construction industry, gaining traction within the hydropower sector. This study critically examines the adoption and application of BIM throughout the entire lifecycle of hydropower projects, addressing a notable gap in existing research, to encompass a holistic approach to the management and resilience of these critical infrastructures. The objective is to delineate the comprehensive range of BIM applications, use cases, and adoption, integrating technologies including Digital Twin, UAV, GIS, and simulation tools, across components of hydropower projects. Employing a systematic search paired with a critical review of the selected literature, this study meticulously evaluates significant contributions in this domain. Through thematic analysis, the multifaceted utility of BIM in hydropower structures, including an in-depth evaluation of its current adoption within the industry, is presented. This encompasses an analysis of both benefits and challenges inherent in BIM implementation for hydropower infrastructures. This study is a significant contribution to understanding how BIM can be leveraged to enhance the resilience of hydropower infrastructures. It provides a comprehensive view of BIM’s applications, challenges, and future potential, guiding stakeholders in adopting strategies that ensure these structures withstand, adapt, and recover from disruptions while maintaining sustainable and efficient operations.
Publication DOI: | https://doi.org/10.3390/infrastructures9070098 |
---|---|
Divisions: | College of Engineering & Physical Sciences > Smart and Sustainable Manufacturing College of Engineering & Physical Sciences > School of Infrastructure and Sustainable Engineering > Civil Engineering College of Engineering & Physical Sciences > School of Infrastructure and Sustainable Engineering > Engineering Systems and Supply Chain Management |
Funding Information: | This research received no external funding. |
Additional Information: | © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
Uncontrolled Keywords: | BIM,dam,digital transformation,hydropower projects,infrastructure,power plant,powerhouse,Geotechnical Engineering and Engineering Geology,Building and Construction,General Materials Science,Computer Science Applications,Civil and Structural Engineering |
Publication ISSN: | 2412-3811 |
Data Access Statement: | Data are not created in this study. |
Last Modified: | 09 Dec 2024 09:14 |
Date Deposited: | 04 Jul 2024 16:12 |
Full Text Link: |
https://www.mdp ... 412-3811/9/7/98 |
Related URLs: |
http://www.scop ... tnerID=8YFLogxK
(Scopus URL) |
PURE Output Type: | Review article |
Published Date: | 2024-06-25 |
Accepted Date: | 2024-06-06 |
Authors: |
Wangchuk, Jigme
Banihashemi, Saeed Abbasianjahromi, Hamidreza Antwi-Afari, Maxwell Fordjour ( 0000-0002-6812-7839) |