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古巴海域海洋温差能转换应用的热效率数据集。

Thermal Efficiency Dataset for OTEC Applications in Cuban Waters.

作者信息

Rodriguez Alejandro, Abreu Melissa, Reyes Dailin, Abreu Melany, Varona Humberto L, Noriega Carlos, Calzada Amilcar, Araujo Moacyr

机构信息

Marine Meteorology Center (CMM), National Institute of Meteorology (INSMET)., Havana, Havana, 11700, Cuba.

Laboratory of Physical, Coastal and Estuarine Oceanography (LOFEC)., Federal University of Pernambuco, Pernambuco, Recife-PE, Brazil.

出版信息

Open Res Eur. 2025 May 8;4:15. doi: 10.12688/openreseurope.16815.3. eCollection 2024.

Abstract

Currently, the generation of electrical energy in Cuba is supported by oil and natural gas. These sources, as it is known, are directly linked to large emissions of pollutants that are released into the environment. Therefore, it is necessary to search for new energy options aimed at sustainable development, allowing the preservation of natural ecosystems. Owing to the location and geographical characteristics of Cuba, it is necessary to assess the energy possibilities of the seas that surround it and to search for the most feasible areas to obtain energy from the sea temperature. This renewable energy source, in addition to being used to generate electricity, can also be used in derived technologies, such as desalination, refrigeration, and aquaculture. Hence, a dataset is presented with the calculation of the Carnot thermal efficiency for the exploitation of thermal energy from the sea, which is based on the Kelvin thermal gradient between the sea in situ temperatures between the shore and the level of depth being analyzed. Outputs of 27 years of daily data from the Copernicus Marine Environmental Monitoring Service (CMEMS) GLOBAL_MULTIYEAR_PHY_001_030 product with a spatial resolution of 1/12° were used. The calculation was made using a Python script of the daily thermal efficiency at depths of 763, 902, and 1062 m, these depths belong to the depth levels of the model output data used according to the depth ranges that are traditionally studied for the exploitation of sea thermal energy. In this way, 27 files of each level were generated for a total of 81 files in text format separated by commas. Each file is presented with the date, level, coordinates, and thermal efficiency. The dataset is available from the Science Data Bank repository ( https://doi.org/10.57760/sciencedb.10037).

摘要

目前,古巴的电能生产依赖石油和天然气。众所周知,这些能源与大量排放到环境中的污染物直接相关。因此,有必要寻找旨在实现可持续发展的新能源选项,以保护自然生态系统。鉴于古巴的地理位置和地理特征,有必要评估其周边海域的能源潜力,并寻找从海水温度获取能源的最可行区域。这种可再生能源除了用于发电外,还可用于诸如海水淡化、制冷和水产养殖等衍生技术。因此,本文给出了一个数据集,该数据集基于海岸与所分析深度之间的现场海水温度的开尔文热梯度,计算了从海洋中开采热能的卡诺热效率。使用了哥白尼海洋环境监测服务(CMEMS)GLOBAL_MULTIYEAR_PHY_001_030产品的27年每日数据输出,空间分辨率为1/12°。计算是使用Python脚本进行的,计算了763米、902米和1062米深度处的每日热效率,这些深度属于根据传统上研究海洋热能开采的深度范围所使用的模型输出数据的深度级别。通过这种方式,每个级别生成了27个文件,总共81个文本格式的文件,文件之间用逗号分隔。每个文件都包含日期、级别、坐标和热效率。该数据集可从科学数据库存储库获取(https://doi.org/10.57760/sciencedb.10037)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d87f/12236297/4a41db975cf3/openreseurope-4-21975-g0000.jpg

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