智慧船舶自動壓艙水系統的研究

慈復明 ； 吳本宥 ； 林冠勳 ； 黃啟倫 ； 陳胤銘

《船舶科技》 53期 (2020/12) Pp. 1-9

摘要

本論文針對船舶的壓艙水設計提出一種可全自動化與無人化的操作的模式，可降低船上的工作人員的負荷同時維持最佳的航行姿態，達成船舶節能減碳的目的。實驗利用Arduino的控制理論以及製作模型船後崁入硬體電路板與軟體的控制程式，對於每個壓艙水櫃可依照載重需求，自由調整每個水櫃；以控制船舶航行最佳化的吃水深度以及船艉差，維持最適當地航行姿態。利用能源效率營運指數 （Energy Efficiency Operational Index, EEOI）分析最差與最佳吃水的二氧化碳排出濃度。EEOI與俯仰差、吃水、SOG、貨物承載重量和油耗的變化有明顯的關係。本文藉由文獻得知大型貨櫃船的吃水在11.5米到12米間為最佳深度。結合智慧型船舶吃水設計與利用EEOI的能源效率營運指數，智慧船舶的自動型壓艙水系統設計，改善船舶的節能與效率。

關鍵字

Arduino控制 ； 壓艙水自動化 ； 能源效率營運指數

並列摘要

This paper proposes a fully automated and unmanned operation mode for the ballast water design of ships engaged with huge ship tanker, which can reduce the load of the crew on the ship while maintaining the best sailing profile, achieving the goal of energy saving and carbon dioxide reduction for green energy ships. The experiment utilizes the control theory of Arduino and the control program of the hardware on circuit board and the software by source code. For each ballast tank, the tank can adjust freely according to the load demand. As a result, the task adjusts the optimal navigation of the ship draft and trim-by-stern to maintain the best sailing profile. Energy Efficiency Operational Index (EEOI) analyzes the carbon dioxide emission based on trim and draft. In addition, EEOI has an obvious relationship with changes in pitch difference, draft, ship over ground, cargo weight and fuel consumption. The optimum depth is between 11.5 meters and 12 meters for the draft of the simulated 8K container ship by reference. In the end, EEOI can improve the energy saving and efficiency of ships to reduce carbon dioxide emissions based on the ballast water automation for smart ships.

並列關鍵字

Arduino control ； ballast water automation ； energy efficiency operational index