E3S Web Conf.
Volume 113, 2019SUPEHR19 SUstainable PolyEnergy generation and HaRvesting Volume 1
|Number of page(s)||6|
|Section||Sustainable Power Plants|
|Published online||21 August 2019|
Flexibilization of Gas Turbine Combined Cycle via Heat Pump: development of control logics via Software-in-the-loop application
University of Genoa, 16145, Genoa (Italy)
2 Siemens PLM 69006, Lyon (France)
* Corresponding author: firstname.lastname@example.org
Flexibilization of Gas Turbine Combined Cycle (GTCC) is a key for plant operations in the present as well as in the near future. The increasing of non-dispatchable sources in the energy production environment causes strong fluctuations in energy price and energy production profiles. The opportunity to enhance flexibility of traditional GTCC is consequenlty welcomed. This work focuses on integration of a Heat Pump in a GTCC devoted to cogenerative purpose with the goal to integrate energy production, assist the power plant in normal operations and enriches the transient capability of the whole compound. This approach can be developed to be retro-fitted to existing power plant. In particular, a software-in-the-loop (SiL) application is here presented to test the developed control logics governing such power plant. The power plant model is developed and runs under Siemens AMESIM environemnt, whilst the control system is developed and integrated in Matlab/Simulink environment. The two systems are intefraced and exchange information with the goal to verify reliability of the control logics before going into the real field..
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (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.