Data accompanying Chapter 5 of the thesis: Enabling ship changeability; a lifecycle approach to the maritime energy transition

This collection contains datasets created as part of the doctoral thesis "Enabling ship changeability; a lifecycle approach to the maritime energy transition by Jesper Jan Zwaginga, M. Sc in Delft University of Technology, 2020-2025.<br>It is being made public both as supplementary data for the thesis and for other researchers to use in their own work.<br>The data is part of the project READINESS, project number TWM.BL.019.002, of the research programme“Topsector Water &amp; Maritime: the Blue route,” which is partly financed by the Dutch Research Council (NWO).<br>The data included in the zip repository has the form of PY, .XLSX and .TXT. A detailed description follows next.<br><strong>Python files</strong>1. <strong>GED_system_architecture_functions.py: </strong>graph edit distance (GED) functions that are used by the code.py version to enable qualitative graph comparison.2. <strong>GED_system_architecture_code.py: </strong>GED code to visualize graph comparison<strong>3. Graph_based_library: </strong>contains code with which the network algorithm creates connections between systems. The python file also includes a small system library example, to enable recreation of graphs as described in chapter 5 of the dissertation.<strong>Input and output data</strong><strong>1. System_attributes.xlsx: </strong>Includes all system and connection data necessary to build graphs described in dissertation chapter 5.<strong>2. Sweeped_graph_de_wbal</strong>: txt file output from the graph_based_library code that can be used to recreate diesel generator (including operational systems such as ballast-tanks) figures from dissertation chapter 5, can be visualized using GED_system_architecture_code.py<strong>3. Sweeped_graph_meoh_wbal</strong>: txt file output from the graph_based_library code that can be used to recreate methanol dual fuel generator (including operational systems such as ballast-tanks) figures from dissertation chapter 5, can be visualized using GED_system_architecture_code.py<strong>4. Sweeped_graph_meoh_ratio</strong>: txt file output from the graph_based_library code that can be used to recreate methanol dual fuel generator figures (including alternative methanol-diesel mix ratio) from dissertation chapter 5, can be visualized using GED_system_architecture_code.py

本数据集合集源自杰斯珀·扬·兹万加（Jesper Jan Zwaginga，代尔夫特理工大学理学硕士）于该校开展的博士研究，相关论文题为《Enabling ship changeability; a lifecycle approach to the maritime energy transition》（实现船舶可变性：海事能源转型的全生命周期方法），研究周期为2020至2025年。
本数据集既作为该博士论文的补充数据对外公开，也可供其他研究人员用于自身科研工作。
该数据隶属于项目READINESS（项目编号：TWM.BL.019.002），所属研究计划为“水上与海事顶级产业：蓝色航道”（Topsector Water & Maritime: the Blue route），该计划由荷兰研究委员会（Nederlandse Organisatie voor Wetenschappelijk Onderzoek, NWO）提供部分资助。
压缩包内的数据格式包含PY（即.py）、.XLSX（即.xlsx）与.TXT（即.txt）文件，下文将对其进行详细说明。

**Python脚本文件**
1. **GED_system_architecture_functions.py**：供code.py脚本版本调用的图编辑距离（Graph Edit Distance, GED）函数，用于实现定性图对比。
2. **GED_system_architecture_code.py**：用于可视化图对比结果的GED代码。
3. **Graph_based_library**：包含用于通过网络算法构建系统间连接的代码，该Python文件还附带了小型系统库示例，可复现论文第五章所述的图表。

**输入输出数据**
1. **System_attributes.xlsx**：包含构建论文第五章所述图表所需的全部系统与连接数据。
2. **Sweeped_graph_de_wbal**：基于Graph_based_library代码生成的TXT格式输出文件，可用于复现论文第五章所述的柴油发电机（含压载水舱等运行系统）图表，可通过GED_system_architecture_code.py进行可视化。
3. **Sweeped_graph_meoh_wbal**：基于Graph_based_library代码生成的TXT格式输出文件，可用于复现论文第五章所述的甲醇双燃料发电机（含压载水舱等运行系统）图表，可通过GED_system_architecture_code.py进行可视化。
4. **Sweeped_graph_meoh_ratio**：基于Graph_based_library代码生成的TXT格式输出文件，可用于复现论文第五章所述的甲醇双燃料发电机图表（含甲醇-柴油混合比例参数），可通过GED_system_architecture_code.py进行可视化。