Skip navigation
  • 中文
  • English

DSpace CRIS

  • DSpace logo
  • Home
  • Research Outputs
  • Researchers
  • Organizations
  • Projects
  • Explore by
    • Research Outputs
    • Researchers
    • Organizations
    • Projects
  • Communities & Collections
  • SDGs
  • Sign in
  • 中文
  • English
  1. National Taiwan Ocean University Research Hub

Carbon Footprint Dynamics and RFID Real-Time Measurement

View Statistics Email Alert RSS Feed

  • Information

Details

Project title
Carbon Footprint Dynamics and RFID Real-Time Measurement
Code/計畫編號
MOST104-2221-E019-016
Translated Name/計畫中文名
動態碳足跡與RFID即時量測可行性之研究
 
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
杜孟儒
 
Department/Unit
Department of Transportation Science
Website
https://www.grb.gov.tw/search/planDetail?id=11582697
Year
2015
 
Start date/計畫起
01-08-2015
Expected Completion/計畫迄
31-07-2016
 
Co-Investigator(s)
Meng-Ru Tu
Bugetid/研究經費
457千元
 
ResearchField/研究領域
交通運輸
 

Description

Abstract
"隨著近年全球暖化的加劇,環保法令的要求日趨嚴格,促使企業轉向低 碳或綠色的生產/服務模式。節能減碳便成為生產/服務作業的重要議題。此 外,許多企業也基於上述原因,要求其供應商開始執行碳揭露專案CDP (Carbon Disclosure Project),揭露生產過程中的碳排放。也因此碳足跡的盤 查與評量變顯得十分重要。然而現行的碳足跡的盤查與評量方式大都使用人 力作業,需投入大量的時間及成本,且獲致的結果精確度不足與缺乏時效 性,難以應用於對時間敏感的企業戰術層級(tactical level)及作業層級 (operational level)作業。 本案研究規劃為二年期計畫,主要區分為兩個部分(1)碳足跡動態特徵 研究(2)碳足跡即時量測系統可行性研究。第一年集中在碳足跡動態特徵研 究,瞭解碳足跡的動態變化特性及其與現有盤查方法靜態特性的差異,並以 探討不同產品及生產屬性與碳足跡動態變化的相關性。第二年集中在碳足跡 即時量測系統可行性研究,延續第一年碳足跡動態特性的研究,主要針對現 有精確度不足、缺乏時效、需投入大量時間及成本等實務問題進行解決方案 之探索。 第一年碳足跡動態特徵研究主要運用統計方法對不同屬性之產品的碳 排放資料進行分析以瞭解其動態變化特性,並對極端變化進行成因探究,最 後以蒙地卡羅法(Monte Carlo Simulation)模擬不同產品及生產情境進行比 較分析。第二年碳足跡即時量測系統研究則是構想運用物聯網RFID 概念執 行碳足跡自動化盤查作業,藉產線RFID 模擬系統模擬生產加工流程碳足跡 的自動化量測與即時記錄探索實際應用碳足跡自動化盤查量測的可行性。本 案預期成果除可彌補過去碳足跡動態問題研究上的不足外,並可提供產業界 節能減碳的決策參考與碳足跡盤查的創新解決方案。""Over the past decades, due to global climate change and environmental regulations, the activities of enterprises gradually transform into low-carbon or green paradigms. Carbon reduction becomes one important issue for a company. In addition, many companies begin demanding their suppliers to perform Carbon Disclosure Project (CDP) to disclose their carbon emission produced during manufacturing. Therefore, carbon accounting and estimation are critical. However, the existing carbon accounting/estimation system requires plenty of time and cost and the resulting report lacks of accuracy and timeliness. Thus, it is difficult to apply the resulting carbon information to regular tactical-level and operational-level activities which are very time-sensitive. This proposal is for a two-year project and contains two parts: (1) the study on the dynamics of carbon footprints and (2) the exploration to a carbon real-time measurement system. The first year (part 1) aims at investigating the characteristics of the carbon footprint dynamics and find the relationship between product and production attributes and the carbon footprint dynamics. The second year (part 2) focus on the practical solution to overcome the problems of the existing carbon accounting/estimation system aforementioned. The first-year research plans to apply statistical techniques to analyze the carbon emission data collected from the various products and to investigate the causes of the extremes. Besides, Monte Carlo Simulation will be used to analyze what-if product/production scenarios. The second-year research will apply the concept of RFID (Radio Frequency Identification) of IoT (Internet of Things) on the automation of carbon accounting and measurement. The feasibility of the RFID application on the automation will be verified using an existing RFID production simulation system for carbon accounting and measurement. The proposed research cannot fill in the insufficiency in the study on the carbon footprint dynamics, but also provides the industry an innovative approach for carbon accounting and estimation."
 
Keyword(s)
碳足跡
碳足跡盤查
無線射頻辨識
物聯網
動態
Carbon footprint
Carbon accounting
RFID
IoT
Dynamics
 
Explore by
  • Communities & Collections
  • Research Outputs
  • Researchers
  • Organizations
  • Projects
Build with DSpace-CRIS - Extension maintained and optimized by Logo 4SCIENCE Feedback