Jairo Rúa
Department of Energy and Process Engineering, NTNU - Norwegian University of Science and Technology, Trondheim, Norway
Lars O. Nord
Department of Energy and Process Engineering, NTNU - Norwegian University of Science and Technology, Trondheim, Norway
Rubén M. Montañés
Department of Energy and Process Engineering, NTNU - Norwegian University of Science and Technology, Trondheim, Norway
Luca Riboldi
Department of Energy and Process Engineering, NTNU - Norwegian University of Science and Technology, Trondheim, Norway
Ladda ner artikelhttp://dx.doi.org/10.3384/ecp17138241Ingår i: Proceedings of the 58th Conference on Simulation and Modelling (SIMS 58) Reykjavik, Iceland, September 25th – 27th, 2017
Linköping Electronic Conference Proceedings 138:33, s. 241-250
Publicerad: 2017-09-27
ISBN: 978-91-7685-417-4
ISSN: 1650-3686 (tryckt), 1650-3740 (online)
The design and analyis of a flexible combined heat and
power (CHP) system where the exhaust of two gas turbines
is utilized as the heat source for a steam Rankine
cycle is proposed in this paper. The case of study is the
Johan Castberg off-shore facility, located in the Barents
Sea, Norway. The steady-state design of the CHP system
is developed with a specialized software based on the
peak demand conditions of the platform, which account
for 58 MW of electric and shaft power, and 52 MW of
heat. A multi-objective optimization approach is followed
in order to attain optimal designs where high efficiency
is achieved while keeping reasonable weight to power ratios.
Once the power cycle design is selected, the detailed
dynamic modeling of the different components integrating
the cycle is presented and implemented in Modelica
language. Steady-state design and off-design validation
of the thermal power plant model is carried out, and preliminary
results are presented to show the ability of the
dynamic model to provide reasonable information of the
steam bottoming cycle transient operation.
dynamic process simulation, steam Rankine
cycle, waste heat recovery, multi-objective optimization,
offshore flexible operation, Modelica, genetic algorithm.
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