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...
Published in: | Linköping Electronic Conference Proceedings, Proceedings of the 58th Conference on Simulation and Modelling (SIMS 58) Reykjavik, Iceland, September 25th – 27th, 2017 |
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Online Access: | https://doi.org/10.3384/ecp17138241 https://research.chalmers.se/en/publication/506068 |
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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 |
_version_ |
1766370447374417920 |