Emission control based energy efficiency measures in ship operations

Perera, Lokukaluge P.; Mo, Brage

doi:10.1016/j.apor.2016.08.006

Cited by 76 publications

(26 citation statements)

References 25 publications

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“…As a consequence, the use of the ship at low speeds in urbanised areas or those protected by the environmental regulations, causes high emissions of harmful substances ( Figure 10) [37][38][39] and the propulsion system works with an energy efficiency below 22%.…”

Section: Resultsmentioning

confidence: 99%

“…At such a low ship speed, the use of diesel for propulsion is extremely inefficient in energy. As a consequence, the use of the ship at low speeds in urbanised areas or those protected by the environmental regulations, causes high emissions of harmful substances ( Figure 10) [37][38][39] and the propulsion system works with an energy efficiency below 22%. In comparison, the efficiency of a hybrid propulsion system in the electric work mode is approximately 85%, which is up to four times greater.…”

Section: Resultsmentioning

confidence: 99%

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Experimental Research on the Energy Efficiency of a Parallel Hybrid Drive for an Inland Ship

et al. 2019

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The growing requirements for limiting the negative impact of all modes of transport on the natural environment mean that clean technologies are becoming more and more important. The global trend of e-mobility also applies to sea and inland water transport. This article presents the results of experimental tests carried out on a life-size, parallel diesel-electric hybrid propulsion system. The efficiency of the propulsion system was analysed for two modes of operation (electric and diesel) and for different engine speeds and loads. Analysis of the impact of using a hybrid propulsion system on fuel consumption was carried out on a case study vessel and for six actual journeys. The use of hybrid propulsion in "zero emission" mode enables up to four times higher energy efficiency when compared to a conventional drive, while reducing CO 2 emissions and air pollution to zero, as well as a hundred-fold reduction in noise emissions. High flexibility in the operation of such a drive enables the use of intelligent power control technology (smart propulsion). This article shows that the use of hybrid propulsion reduces the negative impact on the environment to a minimum and allows for a significant reduction in the vessel's operating costs.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Experimental Research on the Energy Efficiency of a Parallel Hybrid Drive for an Inland Ship

et al. 2019

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“…The ECA regulations require the operator to switch to expensive low-sulfur fuels, and thus have great side effects on many aspects of shipping operations; namely, speed and route [22][23][24].…”

Section: The Eca Regulations and Their Impactsmentioning

confidence: 99%

Bi-Objective Optimization of Vessel Speed and Route for Sustainable Coastal Shipping under the Regulations of Emission Control Areas

et al. 2019

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To comply with the regulations of emission control areas (ECAs), most operators have to switch to low-sulfur fuels inside the ECAs. Besides, a low-carbon objective is essential for long-term environmental protection; thus, is regarded as important as making profit. Therefore, the operators start making speed and route decisions under the two objectives of minimizing carbon emissions and maximizing profit. Drawing on existing methods, this paper formulates the profit and carbon emissions in sustainable coastal shipping, investigates the speed and route principles, and determines the best tradeoff between profit and carbon emissions. It is found that vessel speed should be set between emissions-optimum speed and profit-optimum speed, and the route must be selected in light of the speed decision. Next, the optimal choices of speed and route were examined under different scenarios and vessel types. The results show that the operation measures and objectives depend greatly on fuel price, vessel load, and vessel parameters. The operator should speed up the vessel if he/she wants to make more profit or if the scenario is favorable for profit making; e.g., low fuel price and high vessel load (LFHL). Large vessels should pursue more profit under LFHL conditions, without having to sail further outside the ECA. But this rule does not apply to small vessels. In addition, the operator should slow down the vessel inside the ECA and sail further, outside the ECA, with the growth in the price spread between marine gas oil (MGO) and heavy fuel oil (HFO), especially at a low HFO price. The research findings help operators to design operational measures that best suit the limit on sulfur content in fuel and the situation of the shipping market.

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“…11 Unfortunately, in real cases, those methods overlook the influence of other factors that may, in fact, affect ship's performance, and thus, they may lead to poor predictions even if some corrections have been proposed to improve their accuracy. 12,13 In this regard, at the other end of the industry, modern ships are, in fact, able to continuously acquire massive amounts of operational data, which have brought management board to call for new methodologies to turn data into value. Multiple linear regression has been historically used to budget 14 and, more recently, to monitor ship fuel consumption 15,16 based on multiple factors that may affect the ship's efficiency in real cases.…”

Section: Introductionmentioning

confidence: 99%

Predicting ships' CO₂ emissions using feature‐oriented methods

Reis

Rendall

Palumbo

et al. 2019

Appl Stoch Models Bus & Ind

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Shipping companies are forced by the current EU regulation to set up a system for monitoring, reporting, and verification of harmful emissions from their fleet. In this regulatory background, data collected from onboard sensors can be utilized to assess the ship's operating conditions and quantify its CO2 emission levels. The standard approach for analyzing such data sets is based on summarizing the measurements obtained during a given voyage by the average value. However, this compression step may lead to significant information loss since most variables present a dynamic profile that is not well approximated by the average value only. Therefore, in this work, we test two feature‐oriented methods that are able to extract additional features, namely, profile‐driven features (PdF) and statistical pattern analysis (SPA). A real data set from a Ro‐Pax ship is then considered to test the selected methods. The data set is segregated according to the voyage distance into short, medium, and long routes. Both PdF and SPA are compared with the standard approach, and the results demonstrate the benefits of employing more systematic and informative feature‐oriented methods. For the short route, no method is able to predict CO2 emissions in a satisfactory way, whereas for the medium and long routes, regression models built using features obtained from both PdF and SPA improve their prediction performance. In particular, for the long route, the standard approach failed to provide reasonably good predictions.

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Emission control based energy efficiency measures in ship operations

Cited by 76 publications

References 25 publications

Experimental Research on the Energy Efficiency of a Parallel Hybrid Drive for an Inland Ship

Experimental Research on the Energy Efficiency of a Parallel Hybrid Drive for an Inland Ship

Bi-Objective Optimization of Vessel Speed and Route for Sustainable Coastal Shipping under the Regulations of Emission Control Areas

Predicting ships' CO₂ emissions using feature‐oriented methods

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Emission control based energy efficiency measures in ship operations

Cited by 76 publications

References 25 publications

Experimental Research on the Energy Efficiency of a Parallel Hybrid Drive for an Inland Ship

Experimental Research on the Energy Efficiency of a Parallel Hybrid Drive for an Inland Ship

Bi-Objective Optimization of Vessel Speed and Route for Sustainable Coastal Shipping under the Regulations of Emission Control Areas

Predicting ships' CO2 emissions using feature‐oriented methods

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Product

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Predicting ships' CO₂ emissions using feature‐oriented methods