古巴水域OTEC应用的热效率数据集。

Open research Europe Pub Date : 2025-05-08 eCollection Date: 2024-01-01 DOI:10.12688/openreseurope.16815.3
Alejandro Rodriguez, Melissa Abreu, Dailin Reyes, Melany Abreu, Humberto L Varona, Carlos Noriega, Amilcar Calzada, Moacyr Araujo
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引用次数: 0

摘要

目前,古巴的电力生产依靠石油和天然气。众所周知,这些来源与大量排放到环境中的污染物直接相关。因此,有必要寻求旨在可持续发展的新能源选择,从而保护自然生态系统。由于古巴的地理位置和地理特点,有必要评估它周围海洋的能源可能性,并寻找从海水温度中获得能源的最可行地区。这种可再生能源除了用于发电外,还可用于衍生技术,如海水淡化、冷藏和水产养殖。因此,本文提出了一个数据集,计算了利用海洋热能的卡诺热效率,该数据集基于海岸和被分析深度之间的海洋原位温度之间的开尔文热梯度。利用哥白尼海洋环境监测服务(CMEMS) GLOBAL_MULTIYEAR_PHY_001_030产品27年的每日数据输出,空间分辨率为1/12°。使用Python脚本计算了深度为763,902和1062 m的日热效率,这些深度属于模型输出数据的深度水平,根据传统研究用于开发海洋热能的深度范围。这样,每一级生成27个文件,共81个文件,文本格式以逗号分隔。每个文件都显示了日期、级别、坐标和热效率。该数据集可从科学数据库存储库(https://doi.org/10.57760/sciencedb.10037)获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Thermal Efficiency Dataset for OTEC Applications in Cuban Waters.

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).

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