Operational Profile Based Optimization Method for Maritime Diesel Engines
This paper presents an approach to a new engine calibration method that takes the engine’s operational profile into account. This method has two main steps: modeling and optimization. The Design of Experiments method is first conducted to model the engine’s responses such as Brake Specific Fuel Cons...
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Online Access: | https://www.mdpi.com/1996-1073/13/10/2575 |
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doaj-03abd1728ca9457cbecc83f3fdb880d32020-11-25T03:32:05ZengMDPI AGEnergies1996-10732020-05-01132575257510.3390/en13102575Operational Profile Based Optimization Method for Maritime Diesel EnginesHoang Nguyen Khac0Kai Zenger1Xiaoguo Storm2Jari Hyvönen3Department of Electrical Engineering and Automation,School of Electrical Engineering, Aalto University, 02600 Espo, , FinlandDepartment of Electrical Engineering and Automation,School of Electrical Engineering, Aalto University, 02600 Espo, , FinlandSchool of Technology and Innovation, University of Vaasa, 65200 Vaasa , FinlandEngine Research and Technology Development, Wärtsila Marine Solutions, 65200 Vaasa , FinlandThis paper presents an approach to a new engine calibration method that takes the engine’s operational profile into account. This method has two main steps: modeling and optimization. The Design of Experiments method is first conducted to model the engine’s responses such as Brake Specific Fuel Consumption (BSFC) and Nitrogen Oxide (<inline-formula> <math display="inline"> <semantics> <mrow> <mi>N</mi> <msub> <mi>O</mi> <mi>x</mi> </msub> </mrow> </semantics> </math> </inline-formula>) emissions as the functions of fuel injection timing, common rail pressure and charged air pressure. These response surface models are then used to minimize the fuel consumption during a year, according to a typical load profile of a ferry, and to fulfill the <inline-formula> <math display="inline"> <semantics> <mrow> <mi>N</mi> <msub> <mi>O</mi> <mi>x</mi> </msub> </mrow> </semantics> </math> </inline-formula> limits set by International Maritime Organization (IMO) regulations, Tier II, test cycle E2. The Sequential Quadratic Programming algorithm is used to solve this minimization problem. The results showed that the fuel consumption can be effectively reduced with the flexibility to trade it off with the <inline-formula> <math display="inline"> <semantics> <mrow> <mi>N</mi> <msub> <mi>O</mi> <mi>x</mi> </msub> </mrow> </semantics> </math> </inline-formula> emissions while still fulfilling the IMO regulations. In general, this method can decrease the manual calibration effort and improve the engine’s performance with a tailored setting for individual operational profiles.https://www.mdpi.com/1996-1073/13/10/2575diesel enginesoperational profileoptimizationfuel efficiency |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Hoang Nguyen Khac Kai Zenger Xiaoguo Storm Jari Hyvönen |
spellingShingle |
Hoang Nguyen Khac Kai Zenger Xiaoguo Storm Jari Hyvönen Operational Profile Based Optimization Method for Maritime Diesel Engines Energies diesel engines operational profile optimization fuel efficiency |
author_facet |
Hoang Nguyen Khac Kai Zenger Xiaoguo Storm Jari Hyvönen |
author_sort |
Hoang Nguyen Khac |
title |
Operational Profile Based Optimization Method for Maritime Diesel Engines |
title_short |
Operational Profile Based Optimization Method for Maritime Diesel Engines |
title_full |
Operational Profile Based Optimization Method for Maritime Diesel Engines |
title_fullStr |
Operational Profile Based Optimization Method for Maritime Diesel Engines |
title_full_unstemmed |
Operational Profile Based Optimization Method for Maritime Diesel Engines |
title_sort |
operational profile based optimization method for maritime diesel engines |
publisher |
MDPI AG |
series |
Energies |
issn |
1996-1073 |
publishDate |
2020-05-01 |
description |
This paper presents an approach to a new engine calibration method that takes the engine’s operational profile into account. This method has two main steps: modeling and optimization. The Design of Experiments method is first conducted to model the engine’s responses such as Brake Specific Fuel Consumption (BSFC) and Nitrogen Oxide (<inline-formula> <math display="inline"> <semantics> <mrow> <mi>N</mi> <msub> <mi>O</mi> <mi>x</mi> </msub> </mrow> </semantics> </math> </inline-formula>) emissions as the functions of fuel injection timing, common rail pressure and charged air pressure. These response surface models are then used to minimize the fuel consumption during a year, according to a typical load profile of a ferry, and to fulfill the <inline-formula> <math display="inline"> <semantics> <mrow> <mi>N</mi> <msub> <mi>O</mi> <mi>x</mi> </msub> </mrow> </semantics> </math> </inline-formula> limits set by International Maritime Organization (IMO) regulations, Tier II, test cycle E2. The Sequential Quadratic Programming algorithm is used to solve this minimization problem. The results showed that the fuel consumption can be effectively reduced with the flexibility to trade it off with the <inline-formula> <math display="inline"> <semantics> <mrow> <mi>N</mi> <msub> <mi>O</mi> <mi>x</mi> </msub> </mrow> </semantics> </math> </inline-formula> emissions while still fulfilling the IMO regulations. In general, this method can decrease the manual calibration effort and improve the engine’s performance with a tailored setting for individual operational profiles. |
topic |
diesel engines operational profile optimization fuel efficiency |
url |
https://www.mdpi.com/1996-1073/13/10/2575 |
work_keys_str_mv |
AT hoangnguyenkhac operationalprofilebasedoptimizationmethodformaritimedieselengines AT kaizenger operationalprofilebasedoptimizationmethodformaritimedieselengines AT xiaoguostorm operationalprofilebasedoptimizationmethodformaritimedieselengines AT jarihyvonen operationalprofilebasedoptimizationmethodformaritimedieselengines |
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1724569810511069184 |