Gas Turbine Firming Opportunities in the Australian National Electricity Market (NEM) [Dataset]

The data set is a repository of different data developed as part of the overall project. Broadly speaking, the data steps involve five principal steps: Run wholesale market electricity model and extract key half-hourly data produced from model runs typically over the period 2029-30 to 2050-51. This data is half-hourly, so for a normal year will entail 17520 data points and for a leap year 17568 data points. There are 17 normal years and 5 leap years in the period 2029-30 to 2050-51. From Step (1), we then run Matlab scripts to convert this data from a series of single columns vectors to a ‘(365 x 48)’ or ‘(366 x 48)’ matrix structures, depending upon whether the year in question is a normal or leap year. We then use the data from step (2) to paste into template files that will automatically calculate Gigajoule gas usage that will be used to assess project feasibility for certain types of novel gas turbine technologies – i.e. pure methane, pure hydrogen and mixed blends of both gases. The financial feasibility assessment is also undertaken using template excel files with information provided as to where key data has to be copied into the template files to obtain the desired results, also utilising gas usage data from Step (3) above. The logic of the excel files follow that of cost benefit analysis drawing on Net present Value (NPV) and Internal Rates of Return (IRR) methodologies to assess financial feasibility. The author’s have written a manuscript that we will submit to journals for consideration of publication. These journals generally require that the data that underpins the research results has to be stored as supplemental data for purposes of reproducibility.

本数据集为支撑整体项目开发的多源数据仓储。整体而言，其构建流程包含五大核心步骤：首先，运行批发市场电力模型，提取该模型在2029-30至2050-51时段内运行生成的关键半小时粒度数据。该数据为半小时级粒度，平年包含17520条数据记录，闰年则为17568条；在上述时段内，共计17个平年与5个闰年。其次，运行Matlab脚本，将步骤1得到的数据从单列向量序列转换为「(365×48)」或「(366×48)」的矩阵结构，具体格式取决于对应年份为平年还是闰年。随后，将步骤2生成的矩阵数据导入专用模板文件，该模板可自动计算千兆焦（Gigajoule, GJ）级燃气消耗量，用于评估三类新型燃气轮机技术的项目可行性：纯甲烷、纯氢气以及二者的混合燃料。接下来，依托Excel模板文件开展财务可行性评估，配套文档将明确标注关键数据需填入模板的具体位置以获取预期结果，评估过程将调用上述步骤3得到的燃气消耗量数据。此类Excel模板的逻辑遵循成本效益分析框架，采用净现值（Net Present Value, NPV）与内部收益率（Internal Rate of Return, IRR）方法开展财务可行性测算。本研究团队已完成相关手稿撰写，拟投稿至学术期刊以待发表。此类期刊通常要求支撑研究成果的数据集需作为补充材料进行存储，以保障研究的可复现性。