Special Section on Degradation Prediction and Recycling of Renewable Energy and Energy Storage Systems: Scenarios of 2020–2025Source: Journal of Electrochemical Energy Conversion and Storage:;2021:;volume( 018 ):;issue: 003::page 030301-1DOI: 10.1115/1.4051349Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Given the degrading environment, countries across the globe have strongly emphasized the development and deployment of renewable energy and energy storage systems across various sectors such as residential, commercial, industry, rural households, charging stations, etc. Given with this pace of deployment, there will be unforeseen problems in next decade on how to diagnose, perform online monitoring and regular maintenance, and recycle millions of these renewable energy and energy storage systems whose life span is over (spent systems). Main challenges that exist includes the heterogeneity of the systems (different standards, size, and shape) adding complexity to recycling procedures, laboratory-based models having assumptions for online prediction and monitoring, and non-uniform reusability and recycling procedures. Due to this, the process adopted for recycling and reusability of the spent systems is mainly manual. There is a strong need for designing and developing the automation, artificial intelligence (AI), and robust optimization procedures for making these recycling and reusability procedures smart and efficient.
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| date accessioned | 2022-02-06T05:37:46Z | |
| date available | 2022-02-06T05:37:46Z | |
| date copyright | 6/15/2021 12:00:00 AM | |
| date issued | 2021 | |
| identifier issn | 2381-6872 | |
| identifier other | jeecs_18_3_030301.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4278428 | |
| description abstract | Given the degrading environment, countries across the globe have strongly emphasized the development and deployment of renewable energy and energy storage systems across various sectors such as residential, commercial, industry, rural households, charging stations, etc. Given with this pace of deployment, there will be unforeseen problems in next decade on how to diagnose, perform online monitoring and regular maintenance, and recycle millions of these renewable energy and energy storage systems whose life span is over (spent systems). Main challenges that exist includes the heterogeneity of the systems (different standards, size, and shape) adding complexity to recycling procedures, laboratory-based models having assumptions for online prediction and monitoring, and non-uniform reusability and recycling procedures. Due to this, the process adopted for recycling and reusability of the spent systems is mainly manual. There is a strong need for designing and developing the automation, artificial intelligence (AI), and robust optimization procedures for making these recycling and reusability procedures smart and efficient. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Special Section on Degradation Prediction and Recycling of Renewable Energy and Energy Storage Systems: Scenarios of 2020–2025 | |
| type | Journal Paper | |
| journal volume | 18 | |
| journal issue | 3 | |
| journal title | Journal of Electrochemical Energy Conversion and Storage | |
| identifier doi | 10.1115/1.4051349 | |
| journal fristpage | 030301-1 | |
| journal lastpage | 030301-1 | |
| page | 1 | |
| tree | Journal of Electrochemical Energy Conversion and Storage:;2021:;volume( 018 ):;issue: 003 | |
| contenttype | Fulltext |