{"title":"Simulation-based planning of earthmoving equipment for reducing greenhouse gas (GHG) emissions","authors":"","doi":"10.1016/j.autcon.2024.105841","DOIUrl":null,"url":null,"abstract":"<div><div>Large-scale earthmoving operations, common in mining excavation, contribute significantly to Greenhouse Gas (GHG) emissions. This paper introduces a simulation-based system aimed at quantifying these emissions and identifying practical and achievable steps for reducing them. The system we developed considers site-specific factors, including equipment specifications, topography, route, and weather conditions. Notably, it enables ‘what-if’ scenario analyses, allowing us to evaluate the impact of different parameters on emissions. The system’s unique feature is the optimal allocation of resources through an intelligent decision-making system, which reduced GHG emissions by approximately 7.6% in the case study. Turning off equipment during idle periods further decreases emissions by up to 11.3%. These findings highlight the potential of operational adjustments in mitigating the environmental impact of earthmoving projects.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":null,"pages":null},"PeriodicalIF":9.6000,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Automation in Construction","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0926580524005776","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Large-scale earthmoving operations, common in mining excavation, contribute significantly to Greenhouse Gas (GHG) emissions. This paper introduces a simulation-based system aimed at quantifying these emissions and identifying practical and achievable steps for reducing them. The system we developed considers site-specific factors, including equipment specifications, topography, route, and weather conditions. Notably, it enables ‘what-if’ scenario analyses, allowing us to evaluate the impact of different parameters on emissions. The system’s unique feature is the optimal allocation of resources through an intelligent decision-making system, which reduced GHG emissions by approximately 7.6% in the case study. Turning off equipment during idle periods further decreases emissions by up to 11.3%. These findings highlight the potential of operational adjustments in mitigating the environmental impact of earthmoving projects.
期刊介绍:
Automation in Construction is an international journal that focuses on publishing original research papers related to the use of Information Technologies in various aspects of the construction industry. The journal covers topics such as design, engineering, construction technologies, and the maintenance and management of constructed facilities.
The scope of Automation in Construction is extensive and covers all stages of the construction life cycle. This includes initial planning and design, construction of the facility, operation and maintenance, as well as the eventual dismantling and recycling of buildings and engineering structures.