E3S Web Conf.
Volume 185, 20202020 International Conference on Energy, Environment and Bioengineering (ICEEB 2020)
|Number of page(s)||6|
|Section||Energy Engineering and Power System|
|Published online||01 September 2020|
Research on Construction Risk Evaluation of EPC Project of Transmission and Distribution Engineering Based on Design Enterprise
1 Zhangjiakou Power Supply Company, State Grid Jibei Electric Power Company Limited, Zhangjiakou, Hebei, 075001, China
2 School of Economics and Management, North China Electric Power University, Beijing, 102206, China
* Corresponding author’s e-mail: email@example.com
The EPC general contracting model of power transmission and transformation projects consisting of design, procurement and construction has gradually been favored by the owners in recent years. Among the EPC general contractors, design institutes often occupy a leading position by virtue of their design advantages, but they are inferior in construction management, and there are many construction risk factors. In this paper, the potential risks in the construction phase are stripped out, combined with the characteristics of power transmission and transformation projects, the risk identification system is established, based on the gray whitening weight function, the fuzzy comprehensive evaluation method is used to evaluate the construction risk of the EPC project of the power transmission and transformation project led by the design enterprise.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.