Methodology for Monitoring, Controlling, and Evaluating Carbon Emissions in a Green Port

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基本資料

Project title

Code/計畫編號

MOST105-2221-E019-058

Translated Name/計畫中文名

綠色港口船舶碳排放監控與模擬評估方法之研究

Project Coordinator/計畫主持人

Wu-Hsun Chung

Funding Organization/主管機關

National Science and Technology Council

Co-Investigator(s)/共同執行人

高聖龍

Department/Unit

Department of Transportation Science

Website

https://www.grb.gov.tw/search/planDetail?id=11889197

Year

2016

Start date/計畫起

01-08-2016

Expected Completion/計畫迄

31-07-2017

Co-Investigator(s)

Sheng-Long Kao

Bugetid/研究經費

449千元

ResearchField/研究領域

工業工程

"近年全球暖化加劇，各國環保法令要求日趨嚴格，促使企業轉向低碳作業模式。海運作為全球供應鏈的主要運輸方式，港口在其中扮演重要節點的角色，大量船舶及貨物在此集散裝卸，亦產生可觀的碳排放及環境污染。在綠色港口趨勢下，港口作業碳排放量的監測、管制及減量顯得日益重要。本案結合船舶自動辨識系統(AIS) 、船舶碳排放估算模型與地理資訊系統(GIS)三大工具，用以分別建構「港口船舶碳排放異常追蹤與管控模式」與「港口情境碳排放分布情況系統模擬方法」，分別應用於港口平時作業時船舶碳排放的即時監控及異常情況的及時處置與綠色港口相關措施之船舶節能減排方案決策評估。「碳排放異常追蹤與管控模式」將利用AIS 接收的數據及船舶資料，輸入船舶碳排放估算模型，估算出個別船舶不同狀態下的碳排放量。而後用GIS 將碳排放資訊計算處理，以圖示化呈現港口碳排放量分布情況，並以此方式繪製長期的港口碳排放分布進行分時比對分析。藉此訂定碳排放異常追蹤與管控標準。「情境碳排放分布系統模擬方法」將考量不確定性的情況，運用GIS 繪製不同情境下港口碳排放量分布情況，找出最佳港口船舶節能減排最佳方案。過去碳排放管控由政策目標落實至各部門作業執行時，缺乏有效的管控方法。預期本研究將可彌補此問題學術研究上的不足，提供一套有效可行之港口碳排放管控方法，並在實務上提供港口管理部門節能減碳作業管理上的決策參考""Due to global climate change and environmental regulations, in recent decades, the activities of business gradually transform into low-carbon or green paradigms. Maritime transportation is a major transportation mode, carrying the majority of international freight. A port, a hub of ships and freight, plays a key role in maritime transportation network; meanwhile, it produces a great quantity of carbon emissions. Therefore, the measuring, monitoring, and reducing carbon emissions in a port become an important issue. This study combines Automatic Identification Systems (AIS), the Ship Emissions Assessment Model (SEAM), and Geographic Information System (GIS), to construct “Ship Carbon Emissions Track and Control Mode” (SCETCM) and “Carbon Emissions Distribution in What-If Scenarios Simulation Method” (CEDWSSM), being applied on real-time monitoring, tracking, and controlling ship carbon emissions from operation-level activities in a port and on the evaluation and selection of decarbonization options for a green port, respectively. In the SCETCM, AIS data are collected, decoded, and then inputted into the SEAM to estimate carbon emissions from individual ships. The GIS is used to summarize, visualize, and map the emissions. Using this technique, a series of long-term historical emissions data can be mapped and compared to find a standard for abnormal emissions. Besides, considering uncertain factors, the CEDWSSM maps the emissions in what-if scenarios to find the best option among the scenarios. Nowadays, although decarbonization are encouraged, it is difficult to be performed due to the lack of operation-level approaches. This study will fill the research gap and provide an effective approach for ship emissions track and control as well as for decision making for decarbonization options."

Keyword(s)

碳排放
綠色港口
船舶自動辨識系統(AIS)
地理資訊系統(GIS)
Carbon emissions
Green port
Automatic Identification System (AIS)
Geographic Information System (GIS)

DSpace CRIS

Methodology for Monitoring, Controlling, and Evaluating Carbon Emissions in a Green Port

基本資料

Description