Data collection framework for enhanced carbon intensity indicator (CII) in the oil tankers

IF 1.6 4区 工程技术 Q3 ENGINEERING, CHEMICAL
Abdullah Sardar, Mohan Anantharaman, T. M. Rabiul Islam, Vikram Garaniya
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引用次数: 0

Abstract

The International Maritime Organization (IMO) aims to reduce greenhouse gas (GHG) emissions by 40% by 2030 compared with 2008. The carbon intensity indicator (CII) calculates the annual reduction factor required to continuously improve a ship's operational carbon intensity at a specific rating level. Verification and documentation of the achieved annual operational CII against the prescribed target are necessary to establish the operational carbon intensity rating. This study focuses on the intricate process of data collection for CII within the oil shipping industry, targeting engineering departments and shipboard management teams. Against the backdrop of the industry's substantial carbon dioxide emissions, the IMO has mandated the calculation of CII values for ships exceeding 5000 gross tons to promote sustainability and reduce environmental impact. We have collected emission data of 20 oil tankers over a period of 2 years using our ship maintenance and operating system (SMOS) and analyzed the data to compare the CII ratings. Our results indicate that a staggering ~63% of the vessels had the lowest CII rating of category E. It is therefore crucial to properly collect, organize, and evaluate data for CII calculation and take necessary measures to improve rating. This paper provides a deeper insight into the evolving CII calculation methodology, emphasizing the incorporation of correction factors and exclusions, and delineates the essential data collection practices needed to facilitate accurate CII calculations.

Abstract Image

加强油轮碳强度指标(CII)的数据收集框架
国际海事组织 (IMO) 的目标是,到 2030 年,温室气体 (GHG) 排放量比 2008 年减少 40%。碳强度指标(CII)计算在特定等级水平上持续改善船舶运营碳强度所需的年减排系数。要确定运营碳强度等级,就必须对照规定的目标,对实现的年度运营碳强度指标进行验证和记录。本研究以工程部门和船舶管理团队为对象,重点关注石油航运业内 CII 数据收集的复杂过程。在该行业二氧化碳排放量巨大的背景下,国际海事组织规定,超过 5000 总吨的船舶必须计算 CII 值,以促进可持续发展并减少对环境的影响。我们利用船舶维护和运营系统(SMOS)收集了 20 艘油轮两年来的排放数据,并对数据进行了分析,以比较 CII 评级。我们的结果表明,约有 63% 的船舶的 CII 评级最低,仅为 E 级。因此,正确收集、组织和评估数据以计算 CII 并采取必要措施提高评级至关重要。本文深入探讨了不断发展的 CII 计算方法,强调了修正系数和排除项的纳入,并阐述了准确计算 CII 所需的基本数据收集方法。
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来源期刊
Canadian Journal of Chemical Engineering
Canadian Journal of Chemical Engineering 工程技术-工程:化工
CiteScore
3.60
自引率
14.30%
发文量
448
审稿时长
3.2 months
期刊介绍: The Canadian Journal of Chemical Engineering (CJChE) publishes original research articles, new theoretical interpretation or experimental findings and critical reviews in the science or industrial practice of chemical and biochemical processes. Preference is given to papers having a clearly indicated scope and applicability in any of the following areas: Fluid mechanics, heat and mass transfer, multiphase flows, separations processes, thermodynamics, process systems engineering, reactors and reaction kinetics, catalysis, interfacial phenomena, electrochemical phenomena, bioengineering, minerals processing and natural products and environmental and energy engineering. Papers that merely describe or present a conventional or routine analysis of existing processes will not be considered.
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