| مشخصات مقاله | |
| ترجمه عنوان مقاله | کاربرد هوش مصنوعی در یک سیستم نمک دایی مبتنی بر انرژی های تجدیدپذیر: یک بررسی انتقادی |
| عنوان انگلیسی مقاله | Artificial intelligence application in a renewable energy-driven desalination system: A critical review |
| انتشار | مقاله سال 2022 |
| تعداد صفحات مقاله انگلیسی | 14 صفحه |
| هزینه | دانلود مقاله انگلیسی رایگان میباشد. |
| پایگاه داده | نشریه الزویر |
| نوع نگارش مقاله |
مقاله پژوهشی (Research Article) |
| مقاله بیس | این مقاله بیس نمیباشد |
| نمایه (index) | Scopus – DOAJ |
| نوع مقاله | ISI |
| فرمت مقاله انگلیسی | |
| شناسه ISSN | 2666-5468 |
| فرضیه | ندارد |
| مدل مفهومی | ندارد |
| پرسشنامه | ندارد |
| متغیر | ندارد |
| رفرنس | دارد |
| رشته های مرتبط | مهندسی کامپیوتر، مهندسی انرژی |
| گرایش های مرتبط | هوش مصنوعی، انرژی های تجدیدپذیر |
| نوع ارائه مقاله |
ژورنال |
| مجله | انرژی و هوش مصنوعی – Energy and AI |
| دانشگاه | School of Mechanical Engineering, Beijing Institute of Technology, China |
| کلمات کلیدی | هوش مصنوعی، نمک زدایی، انرژی تجدید پذیر، الگوریتم ها |
| کلمات کلیدی انگلیسی | Artificial intelligence – Desalination – Renewable energy – Algorithms |
| شناسه دیجیتال – doi |
https://doi.org/10.1016/j.egyai.2021.100123 |
| کد محصول | E15964 |
| وضعیت ترجمه مقاله | ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید. |
| دانلود رایگان مقاله | دانلود رایگان مقاله انگلیسی |
| سفارش ترجمه این مقاله | سفارش ترجمه این مقاله |
| فهرست مطالب مقاله: |
| Abstract Keywords Nomenclature Introduction Brief description of RE-desalination systems The ways of using AI in RE-desalination systems New trends of seawater desalination with AI technology Conclusions Declaration of Competing Interest Acknowledgments Contributions References |
| بخشی از متن مقاله: |
| ABSTRACT Artificial intelligence, an emerging technology, widely exists in the field of engineering science and technology. Due to its high efficiency and precision, artificial intelligence is increasingly used in the optimal control of water treatment and seawater desalination. Generally, the design of a desalination system includes four processes: site selection, energy prediction, desalination technology selection and systematic parameter optimization. To a large extent, these choices depend on the experience and relevant criteria of researchers and experts. However, facing the scientific and technological progress and growing expectations, it is impossible to solve such complex nonlinear problems by simple experience and mathematical models, but artificial intelligence is good at this. In this paper, we synthetically analyzed and summarized the application of artificial intelligence in the field of seawater desalination with renewable energy. Artificial intelligence application in desalination is mainly divided into four aspects: expert decision-making, optimization, prediction and control by sequence. The features of artificial intelligence employed in the design of desalination systems not only realize the maximum of efficiency and minimum of cost, but release the human resources. After analyzing the four processes of desalination, it is found that artificial neural network and genetic algorithm are more widespread and mature than other algorithms in dealing with multi-objective nonlinear problems. This paper overviewed the application of artificial intelligence technologies in decision-making, optimization, prediction and control throughout the four processes of desalination designs. Finally, the application and future development prospect of artificial intelligence in the field of seawater desalination are summarized. Introduction According to the report “The Global Risks Report 2018” by the World Economic Forum [1], the water crisis has been seen as the fourth global risk in terms of impact on society. Desalination is an intelligent and promising technology to solve the crisis of freshwater resources. Therefore, more and more institutions and programs turn their focus on seawater desalination to obtain freshwater for agricultural irrigation and domestic water, etc. Traditional desalination technologies consume a lot of fossil energy, which can bring about the environmental pollution and energy exhaustion. The high-level energy consumption and greenhouse gas emissions somehow restricted the development of seawater desalination. People tend to find a sustainable way to drive this process, such as solar energy, wind energy, ocean thermal energy and geothermal energy, even including radiative cooling technology [2], which is a passive refrigeration mode without extra energy consumption. |