Rule-Based Control Studies of LNG–Battery Hybrid Tugboat

The use of hybrid energy systems in ships has increased in recent years due to environmental concerns and rising fuel prices. This paper focuses on the development and study of a hybrid energy system using liquefied natural gas (LNG) and batteries for a tugboat. The hybrid system model is created in MATLAB/Simulink<sup<®</sup< and uses fuel data obtained from an operational diesel-powered tugboat. The LNG–hybrid system is then subjected to testing in four distinct configurations: fixed speed, variable speed, and with and without a battery. The different configurations are compared by computing the daily fuel cost, CO<sub<2</sub< emissions, energy efficiency operation indicator (<inline-formula<<math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"<<semantics<<mrow<<mi<E</mi<<mi<E</mi<<mi<O</mi<<mi<I</mi<</mrow<</semantics<</math<</inline-formula<) and carbon intensity indicator (<inline-formula<<math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"<<semantics<<mrow<<mi<C</mi<<mi<I</mi<<mi<I</mi<</mrow<</semantics<</math<</inline-formula<) ratings in three distinct operation cases. The analysis reveals that the use of an LNG–battery hybrid tugboat results in an average reduction of 67.2% in CO<sub<2</sub< emissions and an average decrease of 64.0% in daily fuel cost compared to a diesel system. An energy management system using rule-based (RB) control is incorporated to compare the daily cost and CO<sub<2</sub< emissions for one of the case studies. The rule-based control that requires the battery to be used and the LNG engine to be switched off at the lowest allowable minimum power based on the specific gas consumption produces the most cost-effective control strategy out of all the different control strategies tested. The result demonstrates that an additional reduction of CO<sub<2</sub< and daily fuel cost for LNG–battery hybrid tugboats by 23.8% and 22.3%, respectively, could be achieved with the implementation of the cost-effective strategy as compared to not having a control strategy. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Sharul Baggio Roslan [verfasserIn] Zhi Yung Tay [verfasserIn] Dimitrios Konovessis [verfasserIn] Joo Hock Ang [verfasserIn] Nirmal Vineeth Menon [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	hybrid marine power system LNG hybrid tugboat energy efficiency operation index carbon intensity indicator system modelling

Übergeordnetes Werk:	In: Journal of Marine Science and Engineering - MDPI AG, 2014, 11(2023), 7, p 1307
Übergeordnetes Werk:	volume:11 ; year:2023 ; number:7, p 1307

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/jmse11071307

Katalog-ID:	DOAJ093880219

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allfields	10.3390/jmse11071307 doi (DE-627)DOAJ093880219 (DE-599)DOAJ45c92249cf2e4388bea11a3b8a9de527 DE-627 ger DE-627 rakwb eng VM1-989 GC1-1581 Sharul Baggio Roslan verfasserin aut Rule-Based Control Studies of LNG–Battery Hybrid Tugboat 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The use of hybrid energy systems in ships has increased in recent years due to environmental concerns and rising fuel prices. This paper focuses on the development and study of a hybrid energy system using liquefied natural gas (LNG) and batteries for a tugboat. The hybrid system model is created in MATLAB/Simulink<sup<®</sup< and uses fuel data obtained from an operational diesel-powered tugboat. The LNG–hybrid system is then subjected to testing in four distinct configurations: fixed speed, variable speed, and with and without a battery. The different configurations are compared by computing the daily fuel cost, CO<sub<2</sub< emissions, energy efficiency operation indicator (<inline-formula<<math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"<<semantics<<mrow<<mi<E</mi<<mi<E</mi<<mi<O</mi<<mi<I</mi<</mrow<</semantics<</math<</inline-formula<) and carbon intensity indicator (<inline-formula<<math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"<<semantics<<mrow<<mi<C</mi<<mi<I</mi<<mi<I</mi<</mrow<</semantics<</math<</inline-formula<) ratings in three distinct operation cases. The analysis reveals that the use of an LNG–battery hybrid tugboat results in an average reduction of 67.2% in CO<sub<2</sub< emissions and an average decrease of 64.0% in daily fuel cost compared to a diesel system. An energy management system using rule-based (RB) control is incorporated to compare the daily cost and CO<sub<2</sub< emissions for one of the case studies. The rule-based control that requires the battery to be used and the LNG engine to be switched off at the lowest allowable minimum power based on the specific gas consumption produces the most cost-effective control strategy out of all the different control strategies tested. The result demonstrates that an additional reduction of CO<sub<2</sub< and daily fuel cost for LNG–battery hybrid tugboats by 23.8% and 22.3%, respectively, could be achieved with the implementation of the cost-effective strategy as compared to not having a control strategy. hybrid marine power system LNG hybrid tugboat energy efficiency operation index carbon intensity indicator system modelling Naval architecture. Shipbuilding. Marine engineering Oceanography Zhi Yung Tay verfasserin aut Dimitrios Konovessis verfasserin aut Joo Hock Ang verfasserin aut Nirmal Vineeth Menon verfasserin aut In Journal of Marine Science and Engineering MDPI AG, 2014 11(2023), 7, p 1307 (DE-627)771274181 (DE-600)2738390-8 20771312 nnns volume:11 year:2023 number:7, p 1307 https://doi.org/10.3390/jmse11071307 kostenfrei https://doaj.org/article/45c92249cf2e4388bea11a3b8a9de527 kostenfrei https://www.mdpi.com/2077-1312/11/7/1307 kostenfrei https://doaj.org/toc/2077-1312 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2023 7, p 1307
spelling	10.3390/jmse11071307 doi (DE-627)DOAJ093880219 (DE-599)DOAJ45c92249cf2e4388bea11a3b8a9de527 DE-627 ger DE-627 rakwb eng VM1-989 GC1-1581 Sharul Baggio Roslan verfasserin aut Rule-Based Control Studies of LNG–Battery Hybrid Tugboat 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The use of hybrid energy systems in ships has increased in recent years due to environmental concerns and rising fuel prices. This paper focuses on the development and study of a hybrid energy system using liquefied natural gas (LNG) and batteries for a tugboat. The hybrid system model is created in MATLAB/Simulink<sup<®</sup< and uses fuel data obtained from an operational diesel-powered tugboat. The LNG–hybrid system is then subjected to testing in four distinct configurations: fixed speed, variable speed, and with and without a battery. The different configurations are compared by computing the daily fuel cost, CO<sub<2</sub< emissions, energy efficiency operation indicator (<inline-formula<<math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"<<semantics<<mrow<<mi<E</mi<<mi<E</mi<<mi<O</mi<<mi<I</mi<</mrow<</semantics<</math<</inline-formula<) and carbon intensity indicator (<inline-formula<<math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"<<semantics<<mrow<<mi<C</mi<<mi<I</mi<<mi<I</mi<</mrow<</semantics<</math<</inline-formula<) ratings in three distinct operation cases. The analysis reveals that the use of an LNG–battery hybrid tugboat results in an average reduction of 67.2% in CO<sub<2</sub< emissions and an average decrease of 64.0% in daily fuel cost compared to a diesel system. An energy management system using rule-based (RB) control is incorporated to compare the daily cost and CO<sub<2</sub< emissions for one of the case studies. The rule-based control that requires the battery to be used and the LNG engine to be switched off at the lowest allowable minimum power based on the specific gas consumption produces the most cost-effective control strategy out of all the different control strategies tested. The result demonstrates that an additional reduction of CO<sub<2</sub< and daily fuel cost for LNG–battery hybrid tugboats by 23.8% and 22.3%, respectively, could be achieved with the implementation of the cost-effective strategy as compared to not having a control strategy. hybrid marine power system LNG hybrid tugboat energy efficiency operation index carbon intensity indicator system modelling Naval architecture. Shipbuilding. Marine engineering Oceanography Zhi Yung Tay verfasserin aut Dimitrios Konovessis verfasserin aut Joo Hock Ang verfasserin aut Nirmal Vineeth Menon verfasserin aut In Journal of Marine Science and Engineering MDPI AG, 2014 11(2023), 7, p 1307 (DE-627)771274181 (DE-600)2738390-8 20771312 nnns volume:11 year:2023 number:7, p 1307 https://doi.org/10.3390/jmse11071307 kostenfrei https://doaj.org/article/45c92249cf2e4388bea11a3b8a9de527 kostenfrei https://www.mdpi.com/2077-1312/11/7/1307 kostenfrei https://doaj.org/toc/2077-1312 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2023 7, p 1307
allfields_unstemmed	10.3390/jmse11071307 doi (DE-627)DOAJ093880219 (DE-599)DOAJ45c92249cf2e4388bea11a3b8a9de527 DE-627 ger DE-627 rakwb eng VM1-989 GC1-1581 Sharul Baggio Roslan verfasserin aut Rule-Based Control Studies of LNG–Battery Hybrid Tugboat 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The use of hybrid energy systems in ships has increased in recent years due to environmental concerns and rising fuel prices. This paper focuses on the development and study of a hybrid energy system using liquefied natural gas (LNG) and batteries for a tugboat. The hybrid system model is created in MATLAB/Simulink<sup<®</sup< and uses fuel data obtained from an operational diesel-powered tugboat. The LNG–hybrid system is then subjected to testing in four distinct configurations: fixed speed, variable speed, and with and without a battery. The different configurations are compared by computing the daily fuel cost, CO<sub<2</sub< emissions, energy efficiency operation indicator (<inline-formula<<math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"<<semantics<<mrow<<mi<E</mi<<mi<E</mi<<mi<O</mi<<mi<I</mi<</mrow<</semantics<</math<</inline-formula<) and carbon intensity indicator (<inline-formula<<math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"<<semantics<<mrow<<mi<C</mi<<mi<I</mi<<mi<I</mi<</mrow<</semantics<</math<</inline-formula<) ratings in three distinct operation cases. The analysis reveals that the use of an LNG–battery hybrid tugboat results in an average reduction of 67.2% in CO<sub<2</sub< emissions and an average decrease of 64.0% in daily fuel cost compared to a diesel system. An energy management system using rule-based (RB) control is incorporated to compare the daily cost and CO<sub<2</sub< emissions for one of the case studies. The rule-based control that requires the battery to be used and the LNG engine to be switched off at the lowest allowable minimum power based on the specific gas consumption produces the most cost-effective control strategy out of all the different control strategies tested. The result demonstrates that an additional reduction of CO<sub<2</sub< and daily fuel cost for LNG–battery hybrid tugboats by 23.8% and 22.3%, respectively, could be achieved with the implementation of the cost-effective strategy as compared to not having a control strategy. hybrid marine power system LNG hybrid tugboat energy efficiency operation index carbon intensity indicator system modelling Naval architecture. Shipbuilding. Marine engineering Oceanography Zhi Yung Tay verfasserin aut Dimitrios Konovessis verfasserin aut Joo Hock Ang verfasserin aut Nirmal Vineeth Menon verfasserin aut In Journal of Marine Science and Engineering MDPI AG, 2014 11(2023), 7, p 1307 (DE-627)771274181 (DE-600)2738390-8 20771312 nnns volume:11 year:2023 number:7, p 1307 https://doi.org/10.3390/jmse11071307 kostenfrei https://doaj.org/article/45c92249cf2e4388bea11a3b8a9de527 kostenfrei https://www.mdpi.com/2077-1312/11/7/1307 kostenfrei https://doaj.org/toc/2077-1312 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2023 7, p 1307
allfieldsGer	10.3390/jmse11071307 doi (DE-627)DOAJ093880219 (DE-599)DOAJ45c92249cf2e4388bea11a3b8a9de527 DE-627 ger DE-627 rakwb eng VM1-989 GC1-1581 Sharul Baggio Roslan verfasserin aut Rule-Based Control Studies of LNG–Battery Hybrid Tugboat 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The use of hybrid energy systems in ships has increased in recent years due to environmental concerns and rising fuel prices. This paper focuses on the development and study of a hybrid energy system using liquefied natural gas (LNG) and batteries for a tugboat. The hybrid system model is created in MATLAB/Simulink<sup<®</sup< and uses fuel data obtained from an operational diesel-powered tugboat. The LNG–hybrid system is then subjected to testing in four distinct configurations: fixed speed, variable speed, and with and without a battery. The different configurations are compared by computing the daily fuel cost, CO<sub<2</sub< emissions, energy efficiency operation indicator (<inline-formula<<math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"<<semantics<<mrow<<mi<E</mi<<mi<E</mi<<mi<O</mi<<mi<I</mi<</mrow<</semantics<</math<</inline-formula<) and carbon intensity indicator (<inline-formula<<math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"<<semantics<<mrow<<mi<C</mi<<mi<I</mi<<mi<I</mi<</mrow<</semantics<</math<</inline-formula<) ratings in three distinct operation cases. The analysis reveals that the use of an LNG–battery hybrid tugboat results in an average reduction of 67.2% in CO<sub<2</sub< emissions and an average decrease of 64.0% in daily fuel cost compared to a diesel system. An energy management system using rule-based (RB) control is incorporated to compare the daily cost and CO<sub<2</sub< emissions for one of the case studies. The rule-based control that requires the battery to be used and the LNG engine to be switched off at the lowest allowable minimum power based on the specific gas consumption produces the most cost-effective control strategy out of all the different control strategies tested. The result demonstrates that an additional reduction of CO<sub<2</sub< and daily fuel cost for LNG–battery hybrid tugboats by 23.8% and 22.3%, respectively, could be achieved with the implementation of the cost-effective strategy as compared to not having a control strategy. hybrid marine power system LNG hybrid tugboat energy efficiency operation index carbon intensity indicator system modelling Naval architecture. Shipbuilding. Marine engineering Oceanography Zhi Yung Tay verfasserin aut Dimitrios Konovessis verfasserin aut Joo Hock Ang verfasserin aut Nirmal Vineeth Menon verfasserin aut In Journal of Marine Science and Engineering MDPI AG, 2014 11(2023), 7, p 1307 (DE-627)771274181 (DE-600)2738390-8 20771312 nnns volume:11 year:2023 number:7, p 1307 https://doi.org/10.3390/jmse11071307 kostenfrei https://doaj.org/article/45c92249cf2e4388bea11a3b8a9de527 kostenfrei https://www.mdpi.com/2077-1312/11/7/1307 kostenfrei https://doaj.org/toc/2077-1312 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2023 7, p 1307
allfieldsSound	10.3390/jmse11071307 doi (DE-627)DOAJ093880219 (DE-599)DOAJ45c92249cf2e4388bea11a3b8a9de527 DE-627 ger DE-627 rakwb eng VM1-989 GC1-1581 Sharul Baggio Roslan verfasserin aut Rule-Based Control Studies of LNG–Battery Hybrid Tugboat 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The use of hybrid energy systems in ships has increased in recent years due to environmental concerns and rising fuel prices. This paper focuses on the development and study of a hybrid energy system using liquefied natural gas (LNG) and batteries for a tugboat. The hybrid system model is created in MATLAB/Simulink<sup<®</sup< and uses fuel data obtained from an operational diesel-powered tugboat. The LNG–hybrid system is then subjected to testing in four distinct configurations: fixed speed, variable speed, and with and without a battery. The different configurations are compared by computing the daily fuel cost, CO<sub<2</sub< emissions, energy efficiency operation indicator (<inline-formula<<math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"<<semantics<<mrow<<mi<E</mi<<mi<E</mi<<mi<O</mi<<mi<I</mi<</mrow<</semantics<</math<</inline-formula<) and carbon intensity indicator (<inline-formula<<math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"<<semantics<<mrow<<mi<C</mi<<mi<I</mi<<mi<I</mi<</mrow<</semantics<</math<</inline-formula<) ratings in three distinct operation cases. The analysis reveals that the use of an LNG–battery hybrid tugboat results in an average reduction of 67.2% in CO<sub<2</sub< emissions and an average decrease of 64.0% in daily fuel cost compared to a diesel system. An energy management system using rule-based (RB) control is incorporated to compare the daily cost and CO<sub<2</sub< emissions for one of the case studies. The rule-based control that requires the battery to be used and the LNG engine to be switched off at the lowest allowable minimum power based on the specific gas consumption produces the most cost-effective control strategy out of all the different control strategies tested. The result demonstrates that an additional reduction of CO<sub<2</sub< and daily fuel cost for LNG–battery hybrid tugboats by 23.8% and 22.3%, respectively, could be achieved with the implementation of the cost-effective strategy as compared to not having a control strategy. hybrid marine power system LNG hybrid tugboat energy efficiency operation index carbon intensity indicator system modelling Naval architecture. Shipbuilding. Marine engineering Oceanography Zhi Yung Tay verfasserin aut Dimitrios Konovessis verfasserin aut Joo Hock Ang verfasserin aut Nirmal Vineeth Menon verfasserin aut In Journal of Marine Science and Engineering MDPI AG, 2014 11(2023), 7, p 1307 (DE-627)771274181 (DE-600)2738390-8 20771312 nnns volume:11 year:2023 number:7, p 1307 https://doi.org/10.3390/jmse11071307 kostenfrei https://doaj.org/article/45c92249cf2e4388bea11a3b8a9de527 kostenfrei https://www.mdpi.com/2077-1312/11/7/1307 kostenfrei https://doaj.org/toc/2077-1312 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2023 7, p 1307
language	English
source	In Journal of Marine Science and Engineering 11(2023), 7, p 1307 volume:11 year:2023 number:7, p 1307
sourceStr	In Journal of Marine Science and Engineering 11(2023), 7, p 1307 volume:11 year:2023 number:7, p 1307
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	hybrid marine power system LNG hybrid tugboat energy efficiency operation index carbon intensity indicator system modelling Naval architecture. Shipbuilding. Marine engineering Oceanography
isfreeaccess_bool	true
container_title	Journal of Marine Science and Engineering
authorswithroles_txt_mv	Sharul Baggio Roslan @@aut@@ Zhi Yung Tay @@aut@@ Dimitrios Konovessis @@aut@@ Joo Hock Ang @@aut@@ Nirmal Vineeth Menon @@aut@@
publishDateDaySort_date	2023-01-01T00:00:00Z
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issn	20771312
topic_title	VM1-989 GC1-1581 Rule-Based Control Studies of LNG–Battery Hybrid Tugboat hybrid marine power system LNG hybrid tugboat energy efficiency operation index carbon intensity indicator system modelling
topic	misc VM1-989 misc GC1-1581 misc hybrid marine power system misc LNG misc hybrid tugboat misc energy efficiency operation index misc carbon intensity indicator misc system modelling misc Naval architecture. Shipbuilding. Marine engineering misc Oceanography
topic_unstemmed	misc VM1-989 misc GC1-1581 misc hybrid marine power system misc LNG misc hybrid tugboat misc energy efficiency operation index misc carbon intensity indicator misc system modelling misc Naval architecture. Shipbuilding. Marine engineering misc Oceanography
topic_browse	misc VM1-989 misc GC1-1581 misc hybrid marine power system misc LNG misc hybrid tugboat misc energy efficiency operation index misc carbon intensity indicator misc system modelling misc Naval architecture. Shipbuilding. Marine engineering misc Oceanography
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title	Rule-Based Control Studies of LNG–Battery Hybrid Tugboat
ctrlnum	(DE-627)DOAJ093880219 (DE-599)DOAJ45c92249cf2e4388bea11a3b8a9de527
title_full	Rule-Based Control Studies of LNG–Battery Hybrid Tugboat
author_sort	Sharul Baggio Roslan
journal	Journal of Marine Science and Engineering
journalStr	Journal of Marine Science and Engineering
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lang_code	eng
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author_browse	Sharul Baggio Roslan Zhi Yung Tay Dimitrios Konovessis Joo Hock Ang Nirmal Vineeth Menon
container_volume	11
class	VM1-989 GC1-1581
format_se	Elektronische Aufsätze
author-letter	Sharul Baggio Roslan
doi_str_mv	10.3390/jmse11071307
author2-role	verfasserin
title_sort	rule-based control studies of lng–battery hybrid tugboat
callnumber	VM1-989
title_auth	Rule-Based Control Studies of LNG–Battery Hybrid Tugboat
abstract	The use of hybrid energy systems in ships has increased in recent years due to environmental concerns and rising fuel prices. This paper focuses on the development and study of a hybrid energy system using liquefied natural gas (LNG) and batteries for a tugboat. The hybrid system model is created in MATLAB/Simulink<sup<®</sup< and uses fuel data obtained from an operational diesel-powered tugboat. The LNG–hybrid system is then subjected to testing in four distinct configurations: fixed speed, variable speed, and with and without a battery. The different configurations are compared by computing the daily fuel cost, CO<sub<2</sub< emissions, energy efficiency operation indicator (<inline-formula<<math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"<<semantics<<mrow<<mi<E</mi<<mi<E</mi<<mi<O</mi<<mi<I</mi<</mrow<</semantics<</math<</inline-formula<) and carbon intensity indicator (<inline-formula<<math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"<<semantics<<mrow<<mi<C</mi<<mi<I</mi<<mi<I</mi<</mrow<</semantics<</math<</inline-formula<) ratings in three distinct operation cases. The analysis reveals that the use of an LNG–battery hybrid tugboat results in an average reduction of 67.2% in CO<sub<2</sub< emissions and an average decrease of 64.0% in daily fuel cost compared to a diesel system. An energy management system using rule-based (RB) control is incorporated to compare the daily cost and CO<sub<2</sub< emissions for one of the case studies. The rule-based control that requires the battery to be used and the LNG engine to be switched off at the lowest allowable minimum power based on the specific gas consumption produces the most cost-effective control strategy out of all the different control strategies tested. The result demonstrates that an additional reduction of CO<sub<2</sub< and daily fuel cost for LNG–battery hybrid tugboats by 23.8% and 22.3%, respectively, could be achieved with the implementation of the cost-effective strategy as compared to not having a control strategy.
abstractGer	The use of hybrid energy systems in ships has increased in recent years due to environmental concerns and rising fuel prices. This paper focuses on the development and study of a hybrid energy system using liquefied natural gas (LNG) and batteries for a tugboat. The hybrid system model is created in MATLAB/Simulink<sup<®</sup< and uses fuel data obtained from an operational diesel-powered tugboat. The LNG–hybrid system is then subjected to testing in four distinct configurations: fixed speed, variable speed, and with and without a battery. The different configurations are compared by computing the daily fuel cost, CO<sub<2</sub< emissions, energy efficiency operation indicator (<inline-formula<<math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"<<semantics<<mrow<<mi<E</mi<<mi<E</mi<<mi<O</mi<<mi<I</mi<</mrow<</semantics<</math<</inline-formula<) and carbon intensity indicator (<inline-formula<<math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"<<semantics<<mrow<<mi<C</mi<<mi<I</mi<<mi<I</mi<</mrow<</semantics<</math<</inline-formula<) ratings in three distinct operation cases. The analysis reveals that the use of an LNG–battery hybrid tugboat results in an average reduction of 67.2% in CO<sub<2</sub< emissions and an average decrease of 64.0% in daily fuel cost compared to a diesel system. An energy management system using rule-based (RB) control is incorporated to compare the daily cost and CO<sub<2</sub< emissions for one of the case studies. The rule-based control that requires the battery to be used and the LNG engine to be switched off at the lowest allowable minimum power based on the specific gas consumption produces the most cost-effective control strategy out of all the different control strategies tested. The result demonstrates that an additional reduction of CO<sub<2</sub< and daily fuel cost for LNG–battery hybrid tugboats by 23.8% and 22.3%, respectively, could be achieved with the implementation of the cost-effective strategy as compared to not having a control strategy.
abstract_unstemmed	The use of hybrid energy systems in ships has increased in recent years due to environmental concerns and rising fuel prices. This paper focuses on the development and study of a hybrid energy system using liquefied natural gas (LNG) and batteries for a tugboat. The hybrid system model is created in MATLAB/Simulink<sup<®</sup< and uses fuel data obtained from an operational diesel-powered tugboat. The LNG–hybrid system is then subjected to testing in four distinct configurations: fixed speed, variable speed, and with and without a battery. The different configurations are compared by computing the daily fuel cost, CO<sub<2</sub< emissions, energy efficiency operation indicator (<inline-formula<<math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"<<semantics<<mrow<<mi<E</mi<<mi<E</mi<<mi<O</mi<<mi<I</mi<</mrow<</semantics<</math<</inline-formula<) and carbon intensity indicator (<inline-formula<<math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"<<semantics<<mrow<<mi<C</mi<<mi<I</mi<<mi<I</mi<</mrow<</semantics<</math<</inline-formula<) ratings in three distinct operation cases. The analysis reveals that the use of an LNG–battery hybrid tugboat results in an average reduction of 67.2% in CO<sub<2</sub< emissions and an average decrease of 64.0% in daily fuel cost compared to a diesel system. An energy management system using rule-based (RB) control is incorporated to compare the daily cost and CO<sub<2</sub< emissions for one of the case studies. The rule-based control that requires the battery to be used and the LNG engine to be switched off at the lowest allowable minimum power based on the specific gas consumption produces the most cost-effective control strategy out of all the different control strategies tested. The result demonstrates that an additional reduction of CO<sub<2</sub< and daily fuel cost for LNG–battery hybrid tugboats by 23.8% and 22.3%, respectively, could be achieved with the implementation of the cost-effective strategy as compared to not having a control strategy.
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container_issue	7, p 1307
title_short	Rule-Based Control Studies of LNG–Battery Hybrid Tugboat
url	https://doi.org/10.3390/jmse11071307 https://doaj.org/article/45c92249cf2e4388bea11a3b8a9de527 https://www.mdpi.com/2077-1312/11/7/1307 https://doaj.org/toc/2077-1312
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author2	Zhi Yung Tay Dimitrios Konovessis Joo Hock Ang Nirmal Vineeth Menon
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up_date	2024-07-03T19:56:15.032Z
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