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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Main Authors: Hoang Nguyen Khac, Kai Zenger, Xiaoguo Storm, Jari Hyvönen
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/13/10/2575
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spelling 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
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