Energy efficiency design index verification through actual power and speed correlation

Energy Efficiency Design Index Verification  
through Actual Power and Speed Correlation  
Quang Dao Vuong1, Professor Don Chool Lee2, Professor Ronald D. Barro*  
1. Mokpo National Maritime University, quangdao.mtb@gmail.com  
2. Mokpo National Maritime University, ldcvib@mmu.ac.kr  
*. Corresponding Author: Mokpo National Maritime University, rbarro@mmu.ac.kr,  
91Haeyangdaehak-ro, Mokpo-si, Jeonnam, South Korea  
Abstract. The International Maritime Organization (IMO) mandatory requirement for Energy  
Efficiency Design Index (EEDI) has been in place since 01 January 2015 to address emission and global  
warming concerns. This regulation must be satisfied by newly-built ships with 400 gross tonnages and  
above. In addition, the MEPC-approved 2013 guidance, ISO 15016 and ISO 19019 on EEDI serves the  
purpose for calculation and verification of attained EEDI value. As such, verification should be carried-  
out through an acceptable method during sea trial and this demands extensive planning during  
propulsion power system design stage. Power and speed assessment plays the important factor in EEDI  
verification. The shaft power can be determined by telemeter system using strain gage while the ship  
speed can be verified and calibrated by differential ground positioning system (DGPS).  
An actual measurement was carried-out on a newly-built ship during sea trial to assess the correlation  
between speed and power. In this paper, the Energy-efficiency Design Index or Operational Indicator  
Monitoring System (EDiMS) software developed by the Dynamics Laboratory-Mokpo National  
Maritime University (DL-MMU) and Green Marine Equipment RIS Center (GMERC) of Mokpo  
National Maritime University was utilized. Mainly, EDiMS software employs four channels engine  
speed, ship speed, shaft power and fuel consumption - for the verification process. In addition, the  
software can continuously monitor air pollution and is a suitable tool for inventory and ship energy  
management plan. Ships greenhouse gas inventory can likewise be obtained from the base of emission  
result during the engine shop test trial and the actual monitoring of shaft power and ship speed. It is  
suggested that an integrated equipment and compact software be used in EEDI verification. It is also  
perceived that analog signals improve the measurement accuracy compared to digital signal. Other  
results are presented herein.  
Keywords: shaft power, ship speed, exhaust gas emissions, energy efficiency design index (or  
operational indicator) (EEDI, EEOI), ship energy efficiency management plan (SEEMP).  
1. Introduction  
Shipping is the most efficient form of cargo transportation and with its increasing globalization have  
lead to the continued growth of the maritime transport. Along with this development, ships’exhaust  
emissions into the environment have become a big concerning issue. In addition, potential harmful  
influence on human health, cause acid rain and contribute to global warming are seen to be some of the  
negative effects of these emissions. In 2009, the shipping sector was estimated to have emitted around  
3.3% of global COemissions of which the international shipping contributed roughly 2.7% or 870  
million tonnes. If unabated, shipping’s contribution to greenhouse gases (GHG) emissions could reach  
18% by 2050 [1].  
To address this concern, the IMO’s pollution prevention treaty (MARPOL) under Annex VI has adopted  
the mandatory energy-efficiency measures to reduce emissions of GHG from international shipping. In  
July 2011, the ‘Energy Efficiency Design Index’ (EEDI) was adopted setting the minimum energy  
efficiency requirements and must not be exceeded the given threshold by new ships built after 2013. It  
is based on a complex formula, taking the ship’s emissions, capacity and speed into account. The target  
requires most new ships with 400 gross tonnages and above to be 10%-, 20%-, and 30% more efficient  
102  
by the year 2015, 2020 and 2025 respectively. The required EEDI value for newly-built tanker vessels  
with variation capacities is shown in Figure 1.  
×
×
.
=
=
(1)  
×
Figure 1 Required EEDI newly-built tanker vessels with variation capacities  
Power and speed assessment plays the important factor in EEDI verification in accordance with the ISO  
regulations (Equation 1). The engine power can be measured by telemetric system using strain gage.  
The ship speed is obtained by differential ground positioning system (DGPS). An actual measurement  
was carried-out on a newly-built ship during sea trial to assess the correlation between speed and power.  
During sea trial, the output power, sailed route and ship speed were measured simultaneously. All signals  
were recorded and analyzed by EVAMOS (Engine / Rotor Vibration Analysis Monitoring System)  
software with EDiMS developed by the DL-MMU and the GMERC of Mokpo National Maritime  
University [2]. The software can continuously monitor air emission and is a suitable tool for inventory  
and ship energy management plan. Ships GHG inventory can likewise be obtained from the base of  
emission result during the engine shop test trial and the actual monitoring of shaft power and ship speed.  
It is suggested that an integrated equipment and compact software be used in EEDI verification. It is  
also perceived that analog signals improve the measurement accuracy compared to digital signal.  
2. Engine power and ship speed measurement with EDiMS software  
2.1 Power measurement  
For power measurement, the MANNER telemetric system was  
used. One full bridge strain gage (Wheatstone bridge) was installed  
to measure the shear stress on the intermediate shaft when the  
engine is running. The basic diagram of the Wheatstone bridge is  
shown in Figure 2. It includes 4 gages having variable resistors  
changing proportionally with the changing of the surface length of  
the shaft. When stress exists, it results in shaft deformation and  
changes the gage resistance and consequently change the ratio  
between the output and input voltage (Vout/Vin) applied on the strain  
gage. This ratio varies as a linear function of the stress on shaft. As  
such, the torque generated on shaft by the diesel engine can be  
measured after calibration. Together with the shaft speed measured  
by tachometer, the shaft power can be obtained by the following  
equations:  
Figure 2 Wheatstone bridge  
103  
=
=
(2)  
(3)  
with:  
= 2  
=
(4)  
Where: P is power (W); T is torque  
(N); ω is angular velocity (rad/s); n is  
shaft speed (r/min); G is modulus of  
elasticity (N/m2); Zp is section  
modulus (m3); d is shaft diameter  
(m).  
Figure 3 Telemetric system and strain gage installation  
The engine power also can be measured via angular velocity signal. Two systems are recommended to  
be installed to ensure continuous engine power measurement in the event one of them failed. The  
principal method for measuring angular velocity is using equidistant pulses over a single shaft  
revolution. Rotating motion sensors such as gap sensor, magnetic switch sensor, or an encoder can be  
used to get the signal of pulses train which has frequency proportional to the angular velocity of rotating  
body. The frequency can be measured and then converted to voltage by an F-V converter. From achieved  
angular velocity, the angular acceleration can be calculated where torque and engine power is obtained.  
The telemetric system and strain gage installation is shown in Figure 3 while the system used for  
measuring engine power and ship speed is illustrated by schematic diagram in Figure 4.  
Figure 4 Schematic diagram for power and speed measurement  
2.2 Ship speed measurement  
In order to measure the ship speed, the speed  
system including one DGPS antenna and the  
ship speed meter (CVC-100GD) was installed.  
In this system, the antenna acquires the DGPS  
signal in purpose to determine the ship’s  
location (by longitude and latitude) in real time.  
By the location signal, the ship speed and the  
sailed route can be obtained.  
Figure 5 Sailing route guidelines for speed trial  
Figure 5 shows the sailing route guidelines for speed trials and should be carried out using double runs,  
i.e. each run followed by a return run in the exact opposite direction performed with the same engine  
settings. The number of such double runs shall not be less than three and should be performed in head  
104  
and following winds preferably. Each run shall be preceded by an approach run, which shall be of  
sufficient length to attain steady running conditions [4].  
2.3 EEDI monitoring by EDiMS  
Full formula for EEDI calculation:  
Main engines Emission  
Auxiliary engines Emission Shaft generator / Motors Emission  
Efficiency Technologies  
EEDI   
Transport work  
(5)  
neff  
neff  
n
nME  
n
nPTI  
  
AE  
   
  
f j  
P
ME(i).CFME(i).SCFME(i) P .CFAE .SCFAE  
f j .  
PPTI (i)   
feff (i).P  
C
FAE .SCF  
feff (i).Peff (i).CFME .SCFME  
AEff (i)   
AE   
j1  
i1  
j1  
i1  
i1  
i1  
fi.Capacity.Vref . fw  
Engine Power (P) at 75% load  
Specific Fuel Consumption (SFC)  
Peff  
main engine power reduction due to  
individual technologies for mechanical  
energy efficiency  
auxiliary engine power reduction due  
to individual technologies for electrical  
energy efficiency  
SFCME  
SFCAE  
SFCAE  
Main engine (composite)  
Auxiliary engine  
Auxiliary engine (adjusted for shaft  
generators)  
*
PAEff  
SFCME(i) Main engine (individual)  
PPTI  
PAE  
power take in  
combined installed power of auxiliary  
engines  
Correction and Adjustment Factors (F)  
feff  
Availability factor of individual energy  
efficiency technologies (=1.0 if readily  
available)  
PME  
main engine power  
CO2 Emissions (C)  
fj  
f
Correction factor for ship specific design  
elements  
Coefficient indicating the decrease in  
ship speeddue to weather and  
environmental condition  
CMFE  
CFAE  
CFME  
Main engine composite fuel factor  
Auxiliary engine fuel factor  
Main engine individual fuel factors  
Ship Design Parameters  
fi  
Capacity adjustment factor for any  
technical /regulatory limitation on  
capacity (=1.0 if none)  
Vref  
Ship speed  
Capacity Deadweight Tonnage (DWT)  
EDiMS software is included in  
EVAMOS program developed by DL-  
MMU. Figure 6 shows the design  
concept display unit of EDiMS. For  
monitoring EEDI on the simple  
propulsion system, EDiMS software  
simply requires signals from engine  
speed, ship speed and shaft power. The  
fuel consumption and NOx, SOx, PM  
emission value measured from shop test  
can be used by the curve fitting method  
of the Equation 6. Likewise, the fuel  
consumption of prime mover can be  
applied alternatively by converting  
voltage signal of fuel flowmeter. SOx  
emission is calculated from sulphur  
content and fuel consumption quantity.  
Figure 6 EDiMS system and display unit configuration  
105  
=
+
+
+
(6)  
Where c0, c1, c2, c3 are coefficients for each of fuel consumption, NOx, SOx, PM emission - y; x is the  
part load ratio for maximum continuous rating.  
Figure 7 EDiMS monitor display configuration  
Figure 8 EDiMS raw signal and emission values display  
106  
Figure 7 shows the setup configuration of EDiMS  
software. In the case of absence of ship speed signal  
form DGPS, ship speed can be estimated by using the  
shaft speed and propeller pitch data with assuming  
there is no slip. The full equation of EEDI (Equation5)  
used for EDiMS includes several adjustment and  
tailoring factors to suit specific classes of vessels and  
alternate configurations and operating conditions, but  
in the case of simple propulsion system without driven  
generator installed on shaft and ignoring the negligible  
factors, the fundamental formula can be simplified to  
Equation 7:  
(
) (  
+ 푃 ×퐶  
) (7)  
퐸  
×퐶  
×푆퐶  
×푆퐶  
퐹퐴퐸  
퐹푀퐸  
퐸  
퐸  
퐸퐸퐷퐼 =  
퐶푎푝푎푐푖푡푦 ×푉  
푟푒푓  
For ships with main engine power of 10,000 kW or  
above:  
퐸  
= 0.025×푀퐶푀퐸 + 250 (8)  
Figure 9 CO2 emission rate based on  
fuel type emission values display [1]  
For ships with main engine power below 10,000 kW:  
= 0.05×푀퐶푀퐸 (9)  
퐸  
with MCRME is main engine power at MCR (kW).  
2.4 EEDI monitoring by EDiMS on actual ship test  
The EVAMOS program including EDiMS software was used for EEDI monitoring on a new built ship.  
Table 1 lists the ship and main engine specifications. The measurement was carried out during the speed  
test of sea trial in order to settle the relation between ship’s speed and engine load as well as the EEDI  
calculation. The comparison of measured fuel consumption during sea trial and the builder shop test is  
given in Table 2.  
Table 1 Specification of experiment ship and main engine  
Type  
Tanker  
Type  
6G70ME-C9.2  
16,590 kW  
Capacity  
Ship length  
Breadth  
Draft  
158,863 tonnes  
247.17 m  
48.00 m  
17.15 m  
2016  
Power at MCR  
Max. continuous speed 77.1 r/min  
Main  
engine  
Ship  
Cylinder bore  
Stroke  
700 mm  
3,256 mm  
6
Year  
No. of cylinder  
Table 2 Fuel consumption of 6G70ME-C9.2 engine at sea trial and builder shop test  
Load  
M/E r/min  
Round  
25%  
48.6  
-
50%  
61.2  
-
70%  
71.9  
75%  
73.6  
100%  
80.5  
R-1  
R-2  
R-1  
R-2  
R-3  
R-4  
R-1  
R-2  
Mean value at  
sea trial (g/kW-hr)  
164.98 164.79 168.2 166.25 167.75 166.84 171.66 171.83  
-
-
164.89  
163.46  
167.31  
165.86  
171.75  
170.18  
Shop test result  
(g/kW-hr)  
175.66 165.34  
107  
Based on the fuel consumption of builder shop test, the coefficients for fuel consumption were obtained  
to be: c0 = 208.86; c1 = -1.896, c2 = 0.0253, c3 = -0.0001. By using these coefficients, EDiMS software  
can estimate the engine fuel consumption for each power load ratio at any certain engine speed. The fuel  
used for engine is heavy fuel oil (HFO), the CO2 emission rate CFME = CFAE = 3.144 ton CO2/ton fuel  
(Figure 9); SFCAE= 190 g/kW-hr; PAE = 664.75 kW. In addition, with the signals of shaft power from  
strain gage and ship speed from DGPS sensor, the EEDI was calculated and monitored online. Under  
the IMO guidance for speed - power measurement, the measuring time for each round is at least 10  
minutes at constant condition. All data were saved on computer and can be analysed again in laboratory.  
Figure 10 Sailed route and ship speed measured by DGPS sensor at 75% load Round 1  
Figure 11 Sailed route and ship speed measured by DGPS sensor at 75% load Round 2  
Figure 12 Shaft power measured by strain gage at 75 % load Round 1  
108  
Table 4 Measuring results and EEDI calculation  
70% 75%  
Load  
100%  
R-1 R-2  
11,314 11,076 12,058 11,866 11,862 11,970 15,673 15,648  
Round  
R-1  
R-2  
R-1  
R-2  
R-3  
R-4  
Engine power (kW)  
Fuel consumption (g/kW-hr) 164.98 164.79 168.2 166.25 167.75 166.84 171.66 171.83  
Ship speed (knots)  
EEDI (g CO2/t nm)  
EEDIaverage  
13.52 14.53 15.37 13.80 15.60 14.72 15.36 17.79  
2.89  
2.63  
2.75  
2.98  
2.66  
2.83  
3.59  
3.10  
2.76  
2.80  
3.35  
The data measured during this sea trial using the EDiMS software confirms the correlation between  
engine fuel consumption, shaft power, ship speed and CO2 emission. Based on these factors, EDDI value  
was calculated and shown in Table 4. Officially, the correction speed should be used for calculation with  
the concern of the wind, sea wave and the other sea conditions and is a complex calculation. The ship  
speed used in this study (non official test) is actual speed without correction. The measurement results  
indicated that the EEDI value of subject vessel increases at higher load. The required EEDI is the limit  
for the attained EEDI of a ship and depends on its type and size and its calculation involves use of  
reference lines and reduction factors. Reference line represents the reference EEDI as a function of  
ship size. Reduction factor represents the percentage points for EEDI reduction relative to the reference  
line, as mandated by regulation for future years. This factor is used to tighten the EEDI regulations in  
phases over time by increasing its value. The reduction factor at different phase implementation is shown  
in Table 5.  
Table 5 Reduction factor (%) for the EEDI relative to the EEDI reference line [5]  
Phase 0  
from Jan  
2013  
Phase 1  
from Jan  
2015  
Phase 2  
from Jan  
2020  
Phase 3  
from Jan  
2025  
Capacity  
(DWT)  
Ship type  
>15,000  
3000-15,000  
>20,000  
0
10  
0-10*  
10  
20  
0-20*  
15  
30  
0-30*  
30  
Tanker  
n/a  
0
General cargo  
ship  
4,000-20,000  
n/a  
0-10*  
0-15*  
0-30*  
* Reduction factor to be linearly interpolated between the two values dependent upon vessel  
capacity. The lower value of the reduction factor is to be applied to the small ship size.  
n/a means that no required EEDI applies.  
The reference line values can be calculated as (see Figure 1):  
= ×  
(10)  
(11)  
= (1 −  
/100)×  
For tanker: a = 1218.80, c = 0.488 [5]. Attained EEDI must always be less than or equal to required  
EEDI.  
109  
The subject vessel was built in 2016 and thereby must adhere to Phase 1 of the EEDI reduction factor  
equivalent to 10%. The shaft power ratio required by the IMO regulation is at 75% load only, however  
at all the other load conditions, the EEDI value (Table 4) is lower than the required limit (about 3.53 g  
CO2/t nm). As such, the subject vessel satisfies the IMO regulation for Energy Efficiency Design Index.  
In addition, monitoring the SOx, NOx, PM emission are available in EDiMS software. All of these signals  
can be measured, analysed and displayed online. File management of all data can be saved on hard drive  
of PC storage or either be transmitted to onshore shipping company office through internet connection.  
3. Conclusion  
Owing to rapid development in the shipping industry and maritime transportation, air pollution  
emissions from ocean-going ships are continuously increasing. Exhaust gases from ships contain CO2  
and many other harmful pollutants. The increased volume of air pollutant results in serious negative  
effects to environment, to human health and contributes to global warming. In order to control CO2  
emission from shipping, the Energy Efficiency Design Index requirement was adopted by IMO for  
newly-built ships. The EEDI expresses the amount of CO2 emission on transport ability, assesses the  
energy consumption of a ship under normal seagoing conditions. The passage of EEDI regulation came  
with one important compromise that could affect the magnitude of benefits in developing more efficient  
ships to serve the demand.  
The Energy-efficiency Design Index or Operational Indicator Monitoring System (EDiMS) was  
developed by DL-MMU in order to analyse and monitor EEDI on the base of results during the engine  
shop test trial and the actual monitoring of shaft power and ship speed. It is recommended for EEDI  
verification to use a compact software capable of measuring the shaft power and ship speed  
simultaneously. This software is a suitable tool for inventory and ship energy management plan. Not  
only EEDI, EDiMS can estimate and help to control air pollution source in exhaust gases such as SOx,  
NOx and PM. All of the energy-efficiency indexes can be displayed online continuously and transmitted  
to other server via internet connection. The software capability should be continually improved  
according to the expectations and participations from the ship owners and shipping companies with  
accurate advices from specialists.  
References  
[1] IMO, Second IMO GHG Study 2009, International Maritime Organization, London, UK, 2009  
[2] Donchool Lee, Kisee Joo, Takkun Nam, Eunseok Kim, Sanghwan Kim, Development of Integrated  
Vibration Analysis and Monitoring System for Marine Diesel Engines and Ship Machineries,  
©CIMAC Congress, Bergen, Norway, 2010.  
[3] MAN Diesel & Turbo, EEDI - Energy Efficiency Design Index, Copyright ©MAN Diesel & Turbo,  
D2366498EN-N2, printed in Germany GGKM-04152.  
[4] IMO, Ships and Marine Technology Guidelines for the Assessment of Speed and Power  
Performance by Analysis of Speed Trial Data, International Maritime Organization, 2002.  
[5] IMO, M2 Ship Energy Efficiency Regulations and Related Guidelines, International Maritime  
Organization, 2016.  
110  
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