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. 2021 Feb 9;21(4):1233.
doi: 10.3390/s21041233.

An IoT-Based Life Cycle Assessment Platform of Wind Turbines

Affiliations

An IoT-Based Life Cycle Assessment Platform of Wind Turbines

Jinjing An et al. Sensors (Basel). .

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.

Keywords: Internet of Things (IoT); life cycle assessment (LCA); wind turbine.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
The framework of life cycle assessment (LCA) with four steps.
Figure 2
Figure 2
The boundary of the LCA system for the wind turbine.
Figure 3
Figure 3
The architecture of IoT-based LCA platform of wind turbines.
Figure 4
Figure 4
Integration solution with enterprise information systems (EIS).
Figure 5
Figure 5
Decomposition of a wind turbine.
Figure 6
Figure 6
An LCA model for wind turbines based on IMPACT 2002+.
Figure 7
Figure 7
The data processing of the proposed platform.

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