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An IoT-Based Life Cycle Assessment Platform of Wind Turbines.

Authors :
An, Jinjing
Zou, Zhuo
Chen, Guoping
Sun, Yaojie
Liu, Ran
Zheng, Lirong
Pozo, Francesc
Source :
Sensors (14248220). 2/15/2021, Vol. 21 Issue 4, p1233-1233. 1p.
Publication Year :
2021

Abstract

Life cycle assessment (LCA) is conducive to the change in the wind power industry management model and is beneficial to the green design of products. Nowadays, none of the LCA systems are for wind turbines and the concept of Internet of Things (IoT) in LCA is quite a new idea. In this paper, a four-layer LCA platform of wind turbines based on IoT architecture is designed and discussed. In the data transmission layer, intelligent sensing of wind turbines can be achieved and their status and location can be monitored. In the data transmission layer, the LCA platform can be effectively integrated with enterprise information systems through the object name service (ONS) and directory service (DS). In the platform layer, a model based on IMPACT 2002+ is developed, and four management modules are designed. In the application layer, different from other systems, energy payback time (EPBT) is selected as an important evaluation index for wind turbines. Compared with the existing LCA systems, the proposed system is specifically for wind turbines and can collect data in real-time, leading to improved accuracy and response time. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14248220
Volume :
21
Issue :
4
Database :
Academic Search Index
Journal :
Sensors (14248220)
Publication Type :
Academic Journal
Accession number :
149022382
Full Text :
https://doi.org/10.3390/s21041233