615
1 INTRODUCTION
Degradation of air quality and climate change are
perceived as the two biggest environmental concerns
for Europeans, due to the negative effects on human
health, productivity, and property. To reduce
emissions of greenhouse gases and air pollutants
holistic solutions are needed and efforts must be made
at local, regional, national, and global levels [5]. A
distinct combination of geographic, bathymetric,
orographic, climatic characteristics, and significant
anthropogenic pressures makes the Adriatic Sea
highly sensitive to pollution, and efforts to promote
the environmental sustainability of human activities
that affect it have been taken by the Croatian
government [13].
Historically, the focus of the prevention measures
has been on activities that occur at sea, where the
majority of airborne emissions occur, as can be seen in
Figure 1 for greenhouse gases (GHG) emissions [10].
However, efforts to make maritime transport less
polluting must include ports. The port emissions can
significantly contribute to air quality degradation of
urban areas [23]. Ships, as the single largest source of
port-related pollution, may pose an important health
risk in certain port cities. Namely, emissions of SO2
can be larger than those of road traffic, and emissions
of PM and NOx can be comparable with those of road
traffic and lead to negative health effects like asthma,
cardiovascular diseases, lung cancer, premature
mortality, and morbidity [1]. Furthermore, the “green
ports”, an answer to demands of environmentalists,
consumers, and government for more
Estimating Shipping Emissions A Case Study for Cargo
Port of Zadar, Croatia
V
. Knežević, Z. Pavin & J. Čulin
University of Zadar, Zadar, Croatia
ABSTRACT: Reducing air pollutant emissions and energy consumption, as a necessary step to make ports more
sustainable, is one of the crucial tasks and challenges of port management. Some of the port strategies to meet
the term “green port” usually include reducing fuel consumption from vessels and vehicles in ports. This paper
estimates the emission inventory of maritime traffic for the cargo Port of Zadar. For this research, emissions
from cargo ships are estimated in the period from January 01. 2018 until October 01. 2019. The “bottom-up”
methodology has been applied for estimating emissions, which includes detailed data on the ship’s
characteristics (engine power, the load factor, fuel type, the emission factor) and time spent cruising and
hotelling. The emissions from cargo ships have been estimated for three ship’s activities: cruising in the reduced
speed zone, hotelling (time spent at berth), and maneuvering. The emission results (tons/year) refer to the
pollutants such as nitrogen oxides (NOx), sulphur oxides (SOx), particulate matter (PM), volatile organic
compounds (VOC), and carbon dioxide (CO2) which represents greenhouse gases. Estimating emission
inventory is the first step for planning effective port air quality control. Some recommendations for reducing
emissions in port areas are emphasized in this paper.
http://www.transnav.eu
the
International Journal
on Marine Navigation
and Safety of Sea Transportation
Volume 15
Number 3
September 2021
DOI: 10.12716/1001.15.03.16
616
environmentally sustainable movement of goods and
people, need to reduce GHG emissions. Moreover,
many measures for reducing GHG emissions also
reduce emissions of air pollutants and noise [22].
Figure 1. International GHG emissions (in CO2e) by
operational phase in 2018, according to the voyage-based
allocation of emissions [(3)3]
To develop measures to reduce emissions in the
ports it is necessary to estimate emissions from
visiting ships [22]. For that basic step, many data are
required: vessel parameter data, activity data,
operational data, and geographical domain data [8]. A
plethora of studies has been conducted to investigate
various aspects of ship emissions in ports, including
emission inventories for numerous ports [1, 17, 23].
On the national level, it is necessary to develop the
National Ships Emissions Inventory. Emission
inventories for several Croatian ports have been
published so far. Radonja et.al. [18] estimated
quantities of CO2, NOx, SOx and PM emitted at the
port of Rijeka in 2017, while Stazić et al. [21]
published emissions inventory of the port of Split
done for the same pollutants and year. The emission
inventory of marine traffic in the port of Šibenik in
2018, which included CO2, NOx, SOx, PM, and VOCs
has been estimated by Pastorčić et al. [15].
2 AREA OF RESEARCH AND PORT DATA
The emission trends analyzed in this paper are based
on the emission inventory of the cargo Port of Zadar
in two time periods, the first being the period from
January to December 2018 and the second being the
period from January to October 2019. The year 2020
wasn’t analyzed in this paper due to the effect of the
COVID-19 pandemic has had on shipping and was
thus concluded that the 2020 trend wouldn’t be
relevant in comparison with the usual trends. The
Zadar cargo port marine traffic has been generated in
Table 1 according to the data provided by Port of
Zadar Authority and Luka Zadar d.d. [11].
Table 1. Marine cargo traffic in the cargo Port of Zadar for
2018 and 2019 year
_______________________________________________
Period January 01- January 01-
December 31. 2018 October 01. 2019
_______________________________________________
Type of vessel Number Number Number Number
of vessels of arrivals of vessels of arrivals
_______________________________________________
General cargo 5 5 13 14
Bulk carrier 5 39 6 30
Tankers 19 20 9 23
Reefer 0 0 4 5
_______________________________________________
Figure 2. Cargo Port of Zadar: 1 terminal for liquid cargo,
2 oil platform supply terminal, 3 terminal for bulk
carriers, 4 terminal for general cargo, 5 and 6 terminal
for general cargo and cement
The liquid cargo terminal is comprised of a 60 m
coastline (mooring up to 190 m in length), draft of 10.3
m to 12 m and the potentiality to moor ships up to
40,000 DWT. The terminal also consists of tanks for
petroleum products with the capacity of 60,000 m
3
,
tanks for chemicals with the capacity of 15,000 m
3
, 16
pipelines, and a floating protective barrier with a
length of 300 m. The oil platform supply terminal is
comprised of a 180 m coastline, a draft of 4.8 m to 7.1
m, closed warehouses and workshops, an open
storage area of 20,000 m
2
and a 9 m long ramp.
The bulk freight loading/unloading terminal is
comprised of a 140 m coastline, a 12 m draft with the
potentiality to moor ships up to 80,000 DWT. The
capacity of the terminal is 500,000 tons annually with
an unloading capacity of 500 tons/hour. The terminal's
construction provides a possibility to simultaneously
load wagons on two railway tracks. The terminal also
houses a grain silo with the capacity of 38,000 m3 and
closed storage with the capacity of 30,000 m3. The first
general cargo loading/unloading terminal is
comprised of a 135 m coastline, a draft of 7 m to 11.4
m, and the potentiality to moor ships up to 10.000
DWT.
The second general cargo loading/unloading
terminal is comprised of a 150 m coastline, a draft of
8.7 m to 10.2 m with the potentiality to moor ships up
to 20,000 DWT. The terminal uses a 24 m long RO-RO
ramp, an open storage area of 150,000 m2 and a closed
warehouse with an area of 34.000 m2. The terminal
also uses an industrial railway track with the capacity
of servicing 140 wagons per day. The cement
loading/unloading terminal has an annual capacity of
80,000 tons with the potentiality of unloading ships
from both general cargo piers, weighing max. up to 50
tons and distribution to trucks.
The distance a ship travels from the start of the
pilotage until its end at the port is defined as the
“Reduce speed zone”. The pilotage starts at the island
of Grujica and finishes at the Zadar port breakwater,
comprising a pilotage route of 35.245 Nm (64.588 km)
(Figure 3). The estimated maximum safe speed for
cargo ships in a reduced speed zone is 9 knots [24].
617
Figure 3. Reduce speed zone pilotage of ships (Grujica-
Zadar)
3 METHODOLOGY
The applied method for estimating emissions from
maritime traffic in this paper is the so-called “bottom-
up” method. To estimate the quantity of each
pollutant emitted this method uses comprehensive
data such as the type and power of the main and
auxiliary engine, used fuel, engine load factor,
emission factor, and ship’s voyage data. The
guidelines for emission inventories [3, 6, 10, 24] are
mostly estimating emissions of NOx, SOx, PM, VOC,
HC pollutants, and CO2 as a greenhouse gas.
However, the latest edition of the IMO study [10]
emphasized the increase of methane (CH4) emissions
and black carbon emission, which is not a greenhouse
gas but a component of soot, emitted by the
incomplete combustion in engines and it is also
harmful to the atmosphere.
There are few different approaches for developing
a port emission inventory and they can sometimes
vary in terms of the research area, time, and available
resources. The usual difference is between the highly
detailed inventories which are typical for the
geographically larger ports with numerous ship calls
and the mid-tier approach which is often used for
smaller ports. In the detailed port inventories, the
emissions from the land-based activities are also
included. However, this approach is mainly used for
container terminals or ports with cargo handling
equipment, locomotives, and heavy-duty vehicles
[16].
This methodology estimates the total emissions
from the ship’s voyage by summing the emissions
from all the ship’s activities. One particular trip is
divided into three activities: cruising at sea,
maneuvering, and hotelling (at berth). For a single trip
emission can be calculated as:
T CMH
EEE E=++
The emissions from a ship in navigation are
expressed with the following equation [6]:
( ) ( )
C ME AE
D
E ME LF EF AE LF EF
v

= ⋅+

For each ship calling in a port or during
maneuvering, the emissions for at berth and
maneuvering activities has been calculated as follows
[6]:
where:
E emission (T-trip, C-cruising, M-manoeuvring, H-
hotelling) [g]
D distance travelled (km)
v average ship’s speed (km/h)
ME installed main engine power (kW)
LFME main engine load factor (%)
AE installed auxiliary engine power (kW)
LFAE auxiliary engine load factor (%)
EF emission factor, depending on the fuel type and
ship’s speed (g/kWh)
t hotelling and manoeuvring time (h)
3.1 Time activities
For more accurate estimation it is necessary to
determine the average time of each ship’s activity.
Each activity is associated with a different engine load
that has a unique emission factor. The cruising time
(in hours) refers to the slow steaming of the ship in a
reduced speed zone. Time is calculated in equation (2)
as the ratio of the trip’s length (km) and average speed
of cargo ships in a reduced speed zone, which is
estimated to 9 knots (16.67 km/h) [24].
The maneuvering activity is related to the area
between the breakwater and the dock. According to
the data obtained from the Port of Zadar authority,
the maneuvering time for bulk carriers, general cargo
ships, and reefers is 1 hour, while for tankers is 2
hours due to placing additional safety breakwaters.
The hotelling time implies the time ship spent at
berth (anchorage). Most of the guidelines for the port
emission inventories are estimating the hotelling time
according to the type of ship. This approach is useful
only for the ports with a large number of ships that
call throughout the year or in the case when the
information about hotelling time is uncertain. Based
on the data obtained from the Port of Zadar [11], the
total time at berth for each cargo ship is determined.
3.2 Fuel type and emission factors
The type of fuel used in main and auxiliary engines is
highly important when estimating exhaust gases
emissions. The exhaust emissions depend on the
sulphur and carbon content in the fuel. The sulphur
content in fuel is defined by EU directive 2016/802 [7]
which requires the use of low sulphur fuel (0.1%) in
all EU ports and the inland waters. This paper
assumes that ships use marine gas oil with a low
sulphur content that does not exceed 0.1% by mass.
The emission factors are commonly used for
estimating shipping emissions and they depend on
the type of engine, fuel used, the ship’s activity, and a
load factor of main and auxiliary engines. The main
engine emission factors are presented in Table 2 for
slow speed (SSD) and medium speed (MSD) diesel
engines.
618
Table 2. ME emission factors (g/kWh) ‘at sea’, ‘while
maneuvering, ‘at berth’ [3]
_______________________________________________
Engine type/ NOx pre- NOx post-
fuel type 2000 engine 2000 engine SO2 CO2 VOC PM
_______________________________________________
At sea
_______________________________________________
SSD/MGO 17.0 14.1 0.7 588 0.6 0.3
MSD/MGO 13.2 11.0 0.8 645 0.5 0.3
_______________________________________________
Manoeuvring / at berth
_______________________________________________
SSD/MGO 13.6 11.3 0.8 647 1.8 0.9
MSD/MGO 10.6 8.8 0.9 710 1.5 0.9
_______________________________________________
The NOx emission factors are determined
according to the IMO NOx Technical Code [14]
because engines installed on the ship before 01
January 2000 need to meet the required NOx emission
limit. From overall cargo ships arrived at the port in
2018, the 8 ships have engines installed before 2000,
and in 2019 the 13 ships. The auxiliary engine
emission factors are presented in Table 3, and they are
equal for all three ship’s activities.
Table 3. AE emission factors (g/kWh) ‘at sea’, ‘while
maneuvering, ‘at berth’ [3]
_______________________________________________
Engine type/ NOx pre- NOx post-
fuel type 2000 engine 2000 engine SO2 CO2 VOC PM
_______________________________________________
M/H SD/MGO 17.0 14.1 0.7 88 0.4 0.3
M/H SD/MDO 17.0 14.1 5.6 588 0.4 0.4
M/H SD/RO 14.7 12.2 12.3 722 0.4 0.8
_______________________________________________
3.3 Engine particulars and load factors
For a more precise calculation of emissions, it is
necessary to obtain the data of main and auxiliary
engine power (kW) and load factor for each cargo
ship. The data on the main and auxiliary engines have
been obtained from available ship particulars and
database [20]. The engine specifications from each
ship have shown that all cargo ships are mechanically
driven by two-stroke or four-stroke diesel engines.
The load factor of the main and auxiliary engine is
a percentage of the load in relation to the maximum
continuous rating (MCR). It depends on the actual
speed of the ship and different activities. The load
factor of the main engines, according to the literature
[3] is 80% while cruising, 20% during maneuvering
and for hotelling activity, it is assumed that main
engines are not running, except in the case of tanker
ships where the load factor is 20% due to usage of
transfer pumps. The auxiliary engine load factors
depend on the type of the ship and activity. The
highest load factors are during maneuvering activity
due to the usage of bow thrusters which increase
electrical energy supply. Moreover, it is assumed that
auxiliary engines are running at all the time, except
during hotelling if cold ironing is provided in port
(not in this case). The used auxiliary engine load
factors for each type of cargo ship and activity are
presented in Table 4.
Table 4. Auxiliary engine load factors for cargo ships [24]
_______________________________________________
Vessel type Cruise Reduce Manoeuvre At berth
speed zone
_______________________________________________
General cargo 0.17 0.27 0.45 0.22
Bulk carrier 0.17 0.27 0.45 0.22
Container ship 0.13 0.25 0.50 0.17
Tanker 0.13 0.27 0.45 0.67
Reefer 0.20 0.34 0.67 0.34
_______________________________________________
4 RESULTS
The total annual emissions in 2018 are 48.52 t for NOx,
2.45 t for SOx, 1.40 t for PM, 2.57 t for VOC, and in
2019 is 39.04 t for NOx, 1.90 t for SOx, 1.14 t for PM,
and 2.14 t for VOC (Figure 4). The emission results in
Figures 4 and 5 have been displayed for each
pollutant and ship’s activity. For 2019 the total annual
emissions results are: 39.04 t for NOx, 1.90 t for SOx,
2.14 t for VOC, 1.14 t for PM (Figure 5).
Figure 4. Cargo ship emissions in 2018 for each activity
Figure 5. Cargo ship emissions in 2019 for each activity
Figure 6. Total CO2 emission for 2018 and 2019
The CO2 emissions of cargo traffic for 2018 and
2019 are shown in Figure 6. Cargo ships emitted
2069.18 tons of CO2 in 2018 and 1612.23 tons in 2019.
Obviously, the lowest amount of emission is during
maneuvering activity due to the short time and low
main engine load factors. The highest quantity of CO2
is emitted during cruising due to high load factors
619
and installed power of the main engines. The auxiliary
engines are responsible for the emissions during
hotelling activity and with longer time spent at berth,
they are almost as emissions during cruising (2018-
cruising 1040.86 t, maneuvering 942.69 t and in 2019
cruising 854.13 t, maneuvering 701.40 t).
5 DISCUSSION
The results show that most of the emission is
generated during cruising activity and a notable part
is the result of hotelling activity. The emissions during
hotelling and maneuvering have a more significant
impact on the port area climate and human health.
Most of the emissions in port are from auxiliary
engines, due to increased ship’s electricity demands.
The electricity demand depends on the type of cargo
ship, for example, tankers are using electricity for
transfer cargo pumps and general cargo ships for
loading/unloading the cargo.
In Figure 6 the emissions are divided according to
the type of cargo ship. The majority of emissions are
produced by tankers (70%) and general cargo ships
are responsible for 20%. The main reason why tankers
have the highest emissions is due to large installed
power (kW), especially of the two-stroke low-speed
main engine. The bulk carriers had more port calls
than tankers in 2018 and 2019, however, their main
engines are mostly high-speed four-stroke engines.
Also, the auxiliary engine load factor (at berth) for
tanker ships is higher than the rest of the cargo ships.
Figure 7. Overall CO2 emissions for a different type of cargo
ships (2018 and 2019)
To achieve the term “green port” the port
authorities must find the solution for reducing
pollution from ships while at berth, moreover, the
ship-owners must adapt to the sustainable energy-
efficient plan of each port. The emission reduction in
port depends on many factors such as port size,
number of port calls, type of port, financial condition,
and local infrastructure. Few recommended measures
for reducing emissions in the port:
Cold ironing (On-shore power supply)
The meaning of “cold ironing” term is when shore-
side electric power is provided to ships while at
berth, allowing them to shut down the auxiliary
engines. This measure can significantly reduce
emissions in port, however, it depends on the
source of electric energy. The ideal scenario is
when the port power grid is supplied through
renewable energy sources. For ports in the EU
where air quality is above normal and with a high
level of noise the EU recommendation 2006/339/EC
[4] for shore-side electricity is provided. Few
examples of large ports in Europe [9, 19] that are
using cold ironing are the ports of Gothenburg,
Antwerp, Stockholm, Bergen.
Alternative fuels
The most efficient method for reducing emissions
without installing any technologies on the ship is
to change fuel from marine diesel oil to cleaner
fuels. The existing alternative fuels for the
shipping industry are LNG (Liquefied Natural
Gas), LPG (Liquefied Petroleum Gas), NH3
(Ammonia), CH3OH (Methanol), H2 (Hydrogen),
HVO (Hydrotreated Vegetable Oil) [2]. When
compared with conventional diesel oil, alternative
fuels can significantly reduce SOx, NOx, and PM
emissions because they primarily depend on fuel
used. However, the main difficulties for operating
with alternative fuels are in economical aspects
such as energy cost, capital cost, and availability.
For most of the alternative fuels, current
availability is insufficient to cover the energy
consumption for the shipping industry and most
ports are lacking the necessary infrastructure and
bunkering stations.
Slow steaming and reduced time in port
The reduction of sailing speed or so-called ‘slow
steaming’ has become common for many cargo
ships, especially containers to save bunker fuel
costs. Slow steaming is an effective method for
reducing CO2 emissions and it could be achieved
without installing any new technology. However,
in fairway channels or in this case, in reduced
speed zone, the ships are already going slow so
further speed reduction could increase the fuel
consumption or even damage the main engine and
increase maintenance costs. The normal operating
range for main engines is 70-85% of MCR and
while slow steaming is up to 50 to 55% [12].
Another operating measure for reducing emissions
in port is to reduce time spent at berth. This could
be done with more efficient administrative
procedures, port operations, optimized
loading/unloading activity, and improved
communication between ship crew and port
authorities. As seen in results the emissions at
berth are mostly from the auxiliary engines, so this
measure could have the potential for ships with
large installed auxiliary power that spends a long
time in port.
6 CONCLUSION
The annual exhaust emissions in 2018 and 2019 year,
generated by different types of cargo ships in the
cargo Port of Zadar, have been estimated by the
‘bottom-up’ methodology. This methodology divides
the estimated emissions into three activities (cruising,
maneuvering hotelling), of which activity hotelling
has a significant impact on the port air quality. The
overall marine cargo traffic included 64 port calls in
2018. and 72 in 2019. Bulk carriers emitted 20% of
total emissions and the highest amount of emissions
620
are from tanker ships (70%) due to large main and
auxiliary engine power and 43 port calls in two years.
The obtained results are necessary to prepare the
emission database and then to determine the
sustainable plan for reducing emissions in port.
Moreover, the results are contributing to emission
inventory on a national level and they could be
compared with inventories in other Croatian cargo
and passenger ports. To reach sustainable and energy-
efficient objectives, the previously mentioned
measures for reducing should be considered not only
on a local level but also on a regional and national
level.
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