E3S Web Conf.
Volume 53, 20182018 3rd International Conference on Advances in Energy and Environment Research (ICAEER 2018)
|Number of page(s)
|Energy Equipment and Application
|14 September 2018
The Computational Model of the Peak Regulation Capacity of Cogeneration Units and Its Application
State Grid ShanDong Electric Power Research Institute, Jinan 250003, China ;
2 ShanDong Hengli New energy engineering CO.Ltd, Jinan 250101, China
* Corresponding author: a email@example.com
Studying the peak regulation capacity of cogeneration units is of positive significance to improve the power grid dispatching capacity and promote the new energy source. In order to scientifically calculate the peak shaving capacity of a cogeneration unit, the variable condition calculation model is built up based on the theory of equivalent heat drop, and the load constraint model is also established according to the actual situation, on this basis the complete computational model of the peak regulation capacity of cogeneration units is obtained. Based on a 350MW cogeneration unit in Shandong province, the peak regulation capacity calculation is carried out, and the factors affecting the peak regulation capacity of the unit are analyzed. Compared with the experimental results, the calculation model of the peak regulation capacity in this paper shows a high precision, and can be used to predict the peak regulation capacity of the cogeneration units in different working conditions.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/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.