Application of Artificial Intelligence for the Optimization of Hydropower Energy Generation

Q2 Engineering
Krishna Kumar, R. Saini
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引用次数: 4

Abstract

Hydropower is one of the most promising sources of renewable energy. However, a substantial initial investment requires for the construction of large civil structures. Feasibility study, detailed project report preparation, construction planning, and timely execution of work are the important activities of a hydropower plant. Energy generation in hydropower plants are mainly depends on discharge and head. Therefore, an accurate estimation of discharge and head is important to decide the plant capacity. Erosion, cavitation, and operation & maintenance are the key challenges in hydropower energy generation. Artificial Intelligence (AI) has become popular, which can be utilized for site selection, parameters assessment, and operation & maintenance optimization. In this paper, a literature review on applications of AI in hydropower has been presented, and an attempt has also been made to identify the future potential areas of hydropower plants.
人工智能在水电发电优化中的应用
水电是最有前途的可再生能源之一。但是,建造大型土木结构需要大量的初期投资。可行性研究、详细项目报告的编制、建设规划和及时实施工作是水电站的重要活动。水电站的发电主要取决于流量和水头。因此,准确估计流量和水头对确定电厂容量具有重要意义。侵蚀、气蚀和运行维护是水电发电面临的主要挑战。人工智能(AI)已经开始普及,可以用于选址,参数评估和运维优化。本文对人工智能在水电中的应用进行了文献综述,并试图确定水电站未来的潜在领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.00
自引率
0.00%
发文量
15
审稿时长
10 weeks
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