Dynamic Modeling and Simulation of an Offshore Combined Heat and Power (CHP) Plant

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 stea...

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Published in:Linköping Electronic Conference Proceedings, Proceedings of the 58th Conference on Simulation and Modelling (SIMS 58) Reykjavik, Iceland, September 25th – 27th, 2017
Main Authors: Rua Pazos, Jairo, Mocholí Montañés, Rubén, Riboldi, Luca, Nord, Lars Olof
Language:unknown
Published: 2017
Subjects:
Online Access:https://doi.org/10.3384/ecp17138241
https://research.chalmers.se/en/publication/506068
id ftchalmersuniv:oai:research.chalmers.se:506068
record_format openpolar
spelling ftchalmersuniv:oai:research.chalmers.se:506068 2023-05-15T15:39:00+02:00 Dynamic Modeling and Simulation of an Offshore Combined Heat and Power (CHP) Plant Rua Pazos, Jairo Mocholí Montañés, Rubén Riboldi, Luca Nord, Lars Olof 2017 text https://doi.org/10.3384/ecp17138241 https://research.chalmers.se/en/publication/506068 unknown http://dx.doi.org/10.3384/ecp17138241 https://research.chalmers.se/en/publication/506068 Mechanical Engineering Energy Engineering Electrical Engineering Electronic Engineering Information Engineering Control Engineering waste heat recovery genetic algorithm offshore flexible operation dynamic process simulation Modelica steam Rankine cycle multi-objective optimization 2017 ftchalmersuniv https://doi.org/10.3384/ecp17138241 2022-12-11T07:09:44Z 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. Other/Unknown Material Barents Sea Johan Castberg Chalmers University of Technology: Chalmers research Barents Sea Norway Linköping Electronic Conference Proceedings, Proceedings of the 58th Conference on Simulation and Modelling (SIMS 58) Reykjavik, Iceland, September 25th – 27th, 2017 138 241 250
institution Open Polar
collection Chalmers University of Technology: Chalmers research
op_collection_id ftchalmersuniv
language unknown
topic Mechanical Engineering
Energy Engineering
Electrical Engineering
Electronic Engineering
Information Engineering
Control Engineering
waste heat recovery
genetic algorithm
offshore flexible operation
dynamic process simulation
Modelica
steam Rankine cycle
multi-objective optimization
spellingShingle Mechanical Engineering
Energy Engineering
Electrical Engineering
Electronic Engineering
Information Engineering
Control Engineering
waste heat recovery
genetic algorithm
offshore flexible operation
dynamic process simulation
Modelica
steam Rankine cycle
multi-objective optimization
Rua Pazos, Jairo
Mocholí Montañés, Rubén
Riboldi, Luca
Nord, Lars Olof
Dynamic Modeling and Simulation of an Offshore Combined Heat and Power (CHP) Plant
topic_facet Mechanical Engineering
Energy Engineering
Electrical Engineering
Electronic Engineering
Information Engineering
Control Engineering
waste heat recovery
genetic algorithm
offshore flexible operation
dynamic process simulation
Modelica
steam Rankine cycle
multi-objective optimization
description 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.
author Rua Pazos, Jairo
Mocholí Montañés, Rubén
Riboldi, Luca
Nord, Lars Olof
author_facet Rua Pazos, Jairo
Mocholí Montañés, Rubén
Riboldi, Luca
Nord, Lars Olof
author_sort Rua Pazos, Jairo
title Dynamic Modeling and Simulation of an Offshore Combined Heat and Power (CHP) Plant
title_short Dynamic Modeling and Simulation of an Offshore Combined Heat and Power (CHP) Plant
title_full Dynamic Modeling and Simulation of an Offshore Combined Heat and Power (CHP) Plant
title_fullStr Dynamic Modeling and Simulation of an Offshore Combined Heat and Power (CHP) Plant
title_full_unstemmed Dynamic Modeling and Simulation of an Offshore Combined Heat and Power (CHP) Plant
title_sort dynamic modeling and simulation of an offshore combined heat and power (chp) plant
publishDate 2017
url https://doi.org/10.3384/ecp17138241
https://research.chalmers.se/en/publication/506068
geographic Barents Sea
Norway
geographic_facet Barents Sea
Norway
genre Barents Sea
Johan Castberg
genre_facet Barents Sea
Johan Castberg
op_relation http://dx.doi.org/10.3384/ecp17138241
https://research.chalmers.se/en/publication/506068
op_doi https://doi.org/10.3384/ecp17138241
container_title Linköping Electronic Conference Proceedings, Proceedings of the 58th Conference on Simulation and Modelling (SIMS 58) Reykjavik, Iceland, September 25th – 27th, 2017
container_volume 138
container_start_page 241
op_container_end_page 250
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