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Environmental Product Declaration The Jetway® Passenger Boarding Bridge
Declaration Owner
JBT Corporation
3100 Pennsylvania Ave
Ogden Utah 84401
https://www.jbtc.com
801.629.3408
Product
The Jetway® Passenger Boarding Bridge
Declared Unit
The declared unit is one linear meter of passenger boarding bridge
Geographic Region
North America
EPD Number and Period of Validity
SCS-EPD-05609
EPD Valid July 15, 2019 through July 14, 2024
Product Category Rule
Product Category Rule for Construction Products and Construction
Services. Product Group Classification: Multiple UN CPC Codes.
International EPD® System. 2012:01. Version 2.3. November 2018.
Addendum for Adapting the International EPD System PCR for use in
North America. Construction Products and Construction Services
Product Group Classification: Multiple UN CPC Codes. SCS Global
Services. V1.0. September 27, 2017. Valid Until September 26, 2020.
Program Operator
SCS Global Services
2000 Powell Street, Ste. 600, Emeryville, CA 94608
+1.510.452.8000 | www.SCSglobalServices.com
Environmental Product Declaration The Jetway® Passenger Boarding Bridge
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1
© 2019 SCSglobalServices.com
Declaration Owner: JBT Corporation
Address: 3100 Pennsylvania Ave, Ogden, Utah 84401
Declaration Number: SCS-EPD-05609
Declaration Validity Period: July 15, 2019 through July 14, 2024
Program Operator: SCS Global Services
Declaration URL Link: https://www.scsglobalservices.com/certified-green-products-guide
LCA Practitioner: Jeremie Hakian
LCA Software: openLCA 1.7.4
Independent critical review of
the LCA and data, according
to ISO 14044 and ISO 14071
internal ☐ external
LCA Reviewer:
Gerard Mansell, Ph.D., SCS Global Services
Product Category Rule:
Product Category Rule for Construction Products and Construction Services. Product Group
Classification: Multiple UN CPC Codes. International EPD® System. 2012:01. Version 2.3. November
2018.
PCR Review conducted by: Technical Committee of the International EPD® System
Independent verification of
the declaration and data,
according to ISO 14025 and the
PCR
☐ internal external
PCR Addendum:
Addendum for Adapting the International EPD System PCR for use in North America. Construction
Products and Construction Services Product Group Classification: Multiple UN CPC Codes. SCS
Global Services. V1.0. September 27, 2017. Valid Until September 26, 2020.
PCR Addendum Reviewed
by: Thomas Gloria, Ph.D., Industrial Ecology Consultants
EPD Verifier:
Tom Gloria, Ph.D., Industrial Ecology Consultants
Declaration Contents:
1. About JBT………………………………………………………………………………………………………………………………………....2
2. Product………………………………………………………………………………………………………………………………………….…2
3. LCA: Calculation Rules…………………………………………………………………………………………………………………..…4
4. LCA: Results……………………………………………………………………………………………………………………………………10
6. LCA: Interpretation…………………………………………………………………………………………………………………………13
References……………………………………………………………………………………………………………………………………….…14
Disclaimers: This EPD conforms to ISO 14025, 14040, 14044, and ISO 21930.
Scope of Results Reported: The PCR requirements limit the scope of the LCA metrics such that the results exclude environmental and
social performance benchmarks and thresholds, and exclude impacts from the depletion of natural resources, land use ecological
impacts, ocean impacts related to greenhouse gas emissions, risks from hazardous wastes and impacts linked to hazardous chemical
emissions.
Accuracy of Results: Due to PCR constraints, this EPD provides estimations of potential impacts that are inherently limited in terms of
accuracy.
Comparability: The PCR this EPD was based on was not written to support comparative assertions. EPDs based on different PCRs, or
different calculation models, may not be comparable. When attempting to compare EPDs or life cycle impacts of products from different
companies, the user should be aware of the uncertainty in the final results, due to and not limited to, the practitioner’s assumptions, the
source of the data used in the study, and the specifics of the product modeled.
In accordance with ISO 21930:2017, EPDs are comparable only if they comply with the core PCR, use the same sub-category PCR where
applicable, include all relevant information modules and are based on equivalent scenarios with respect to the context of construction
works.
Environmental Product Declaration The Jetway® Passenger Boarding Bridge
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1. About JBT
John Bean Technologies Corporation (JBT) is a leading global technology solutions provider to high-value segments of the
food processing and air transportation industries. We design, manufacture, test and service technologically sophisticated
systems and products for our customers.
2. Product
2.1 Product Description
The Jetway® Passenger Boarding Bridges are at the heart of every successful aircraft boarding experience. The passenger
boarding bridge is the entity that spans the gap between terra firma and travel amidst the clouds. Built for longevity,
reliability, and air traveler experience, the innovative bridge provides operator assisted docking for smoother, and more
efficient boarding procedures. Programmable Logic Controllers (PLC) improve diagnostic and monitoring capabilities taking
the mystery out of operational readiness. Unique designs and control features allow for increased operational flexibility
with changing aircraft and terminal configurations.
The product under scope is the Jetway® Passenger Boarding Bridge with an operational length of 125 ft (38.1 m)
assembled in Ogden, Utah. The product is composed of a multitude of steel, aluminum, wood, and bronze components.
This product is classified under the UNCPC code 5322.
2.2 Application
The product is intended for use in commercial applications only.
2.3 Technical Data
Product specifications and performance results of the testing standards for the products assessed are summarized in
Table 2. The Jetway® Passenger Boarding Bridges are Electrical Testing Laboratories (ETL) listed and Canadian Standards
Association (CSA) approved. Furthermore, the structural integrity of the Jetway meets the performance standards
established by the American Institute of Steel Construction (AISC) and American Welding Society (AWS). Code compliance
for the Jetway include the Society of Automotive Engineers (SAE), American Society of Mechanical Engineers (ASME),
National Fire Protection Association (NFPA), Minimum Design Loads and Associated Criteria for Buildings and Other
Structures (ASCE 7), National Electrical Manufacturers Association (NEMA), and National Electric Code (NEC). The material
test standards for the Jetway are included in the table below.
Table 2. Material Test Standards for the Jetway.
Material Test Standard
Structural Plate ASTM-A36
Structural Steel and Shapes ASTM-A36 or ASTM-A572
Hinge Pings AISC-C1018
Steel Tube ASTM-A500 Grade B
Bolts-Standard ASTM-A307
Steel Pipe ASTM-A53 Grade B
Bolts-High Strength ASTM-A325 and ASTM-A490
Steel Sheet ASTM-A570
T-1 Steel ASTM-A514
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2.4 Delivery Status
The final product is packaged with wood crates, composite wood panels, wood blocks, and corrugated board boxes.
Although packaging is included in the EPD, the delivery of the product for use is outside the scope of this EPD.
2.5 Base Materials
The material composition and recycled content of the components used for the assembly of the Jetway® Passenger
Boarding Bridge represented in this EPD are shown below. Values are rounded to three significant figures.
Table 3. Material content of 1 linear meter of the Jetway® Passenger Boarding Bridge, including pre- and post-consumer material content.
Material Amount
(kg/m) Percent of Total
Pre-Consumer
(%)
Post-Consumer
(%)
Steel 693 88.7% 23.5% 46.9%
Wood 77.5 9.92% 0.00% 0.00%
Aluminum 10.6 1.35% 25.0% 60.0%
Bronze 2.03x10-2 0.00259% 0.00% 0.00%
TOTAL 781 100% 21.2% 42.4%
2.6 Manufacture
The Jetway is manufactured at the Ogden, Utah facility using material components from multiple suppliers, with steel
composing most of the product’s mass (approximately 89% of total mass). Manufacturing and assembly of the Jetway is
done in an assembly line style process. Certified welders assemble a combination of structural frames and corrugated
panels to create the bridge’s tunnel sections. The structural frame of the bridge takes approximately four days to
assemble. The tunnel sections then pass through a media blast booth and a paint booth. Each bridge receives a three-part
epoxy paint coating of the clients chosen color. Following the painting process, the operator console and cab are installed.
Bridge function and configuration are fully customizable to the client’s needs. High impact wallboard, interior lighting, and
commercial flooring treatments complete the interior of the bridges, albeit out of scope of this LCA. The process takes
approximately ten working days from start to finish. Each bridge is mounted to a test stand where functionality is tested
and confirmed, and a team of inspectors verifies compliance to the client specification. Bridges are then shipped via two
tractor-trailer rigs for on-road transport. Fully collapsed, the Jetway will travel as permitted loads on ships and trucks to all
parts of the globe.
2.7 Product Processing/ Installation
Installation of the Jetway® Passenger Boarding Bridge requires use of cranes, scissor forklifts, and manual labor. Additional
electric wiring and assembly of hydraulic elements are required. The final installed product is subject to a site acceptance
test to ensure it meets all specifications and safety requirements. Depending on the location of installation, gates may
need to be rebuilt or modified to accommodate passenger boarding areas. The installation of the Jetway® Passenger
Boarding Bridge is outside the scope of this EPD.
2.8 Packaging
The amount of packaging used for the final products in this EPD, and their pre- and post-consumer material content, are
provided below. Values are rounded to three significant figures.
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Table 4. Material composition of packaging for 1 linear meter the Jetway® Passenger Boarding Bridge, including pre- and post-consumer
material content.
Material Component Amount
(kg/m) Percent of Total Pre-Consumer
(%)
Post-Consumer
(%)
Pallet 30.8 53.3% 0.00% 0.00%
Wood 20.1 34.8% 0.00% 0.00%
Corrugated Board 6.93 12.0% 0.00% 0.00%
TOTAL 57.9 100% 0.00% 0.00%
2.9 Condition of Use
No special conditions of use are noted.
2.10 Environment and Health during use
No environmental or health impacts are expected due to normal use of the product.
2.11 Extraordinary Effects
No environmental or health impacts are expected due to extraordinary effects including fire and/or water damage and
product destruction.
2.12 Re-Use Phase
The Jetway® Passenger Boarding Bridge is not typically reused at end-of-life.
2.13 Disposal
At end-of-life, the Jetway® Passenger Boarding Bridge material components may be disposed of in a landfill, incinerated, or
recycled.
European Waste Code: 17 (Construction and Demolition Wastes)
2.14 Further Information
Further information on the product can be found on the manufacturers’ website: https://www.jbtc.com/aerotech
3. LCA: Calculation Rules
3.1 Functional Unit
The declared unit used in the study, as specified in the PCR, is one linear meter of passenger boarding bridge. The
reference flow used for the LCA is one linear meter.
3.2 System Boundary
The scope of the EPD is cradle-to-gate, including raw material extraction and processing, transportation, product
manufacture, and product packaging. The life cycle phases included in each product system boundary are shown below.
Environmental Product Declaration The Jetway® Passenger Boarding Bridge
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Figure 1. Product system for the Jetway® Passenger Boarding Bridge.
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3.3 Estimates and Assumptions
The Ogden, Utah facility is located in the NWPP eGRID EPA NERC subregion. An Ecoinvent inventory dataset was
modified to reflect the eGRID electricity supply mix to estimate resource use and emissions from electricity use at
the manufacturing facility.
Electricity and resource use (natural gas and water) at the Ogden, Utah facility were allocated to the product
based on product mass, utilizing production data for calendar year 2017 provided by the manufacturer.
No pig iron material input flow is used in the default Ecoinvent electric arc furnace (EAF) dataset. Based on a LEED
documentation memo provided by the manufacturer, the EAF process utilized a 93.3% scrap content. As such, a
pig iron input flow was added to account for the remaining non-scrap content.
Post-consumer and pre-consumer scrap in Ecoinvent are not able to be discerned and therefore unable to be
modified. The iron scrap Ecoinvent dataset used includes collecting of new and old iron scrap, transport to scrap-
yard, sorting, and pressing into blocks.
For steel components, a representative mix of electric arc furnace and basic oxygen furnace steelmaking is
assumed based on 2017 data for the United States from Worldsteel.
The recycled content of aluminum components was based on a LEED documentation memo provided by the
manufacturer.
All material losses to produce material components are based on Ecoinvent default parameters.
Representative inventory data for the extraction and production of raw materials are modeled with unit process
data taken from the Ecoinvent life cycle database to the extent that they were applicable, with some components
requiring proxy datasets.
It should also be noted that LCIA results are relative expressions and do not predict impacts on category endpoints, the
exceeding of thresholds, safety margins or risks.
The PCR allows for the results for several inventory flows related to construction products to be reported as “other
parameters”. These are aggregated inventory flows, and do not characterize any potential impact; results should be
interpreted taking into account this limitation.
3.4 Cut-off criteria
According to the PCR, processes contributing greater than 1% of the total environmental impact indicator for each impact
are included in the inventory. In total, these missing data represent 5% of the mass or energy flows. No data gaps
were allowed which were expected to significantly affect the outcome of the indicator results.
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3.5 Background Data
Primary data were provided by JBT for their manufacturing plant, product material composition, and packaging. The
sources of secondary LCI data are the Ecoinvent v3.4 database.
Table 5. LCI datasets and associated databases used to model the Jetway® Passenger Boarding Bridge.
Flow Dataset Data Source Database Year
Product Materials
Alloy Steel
Components
market for sheet rolling, chromium steel | sheet rolling, chromium steel |
Cutoff, U – GLO; market for section bar rolling, steel | section bar rolling,
steel | Cutoff, U – GLO; market for drawing of pipe, steel | drawing of
pipe, steel | Cutoff, U – GLO; steel production, electric, chromium steel
18/8 | steel, chromium steel 18/8 | Cutoff, U (93.3% scrap) – US; steel
production, converter, chromium steel 18/8 | steel, chromium steel 18/8
| Cutoff, U (32.7% scrap) - US
Ecoinvent 3.4 2017
Carbon Steel
Components
market for hot rolling, steel | hot rolling, steel | Cutoff, U – GLO; steel
production, converter, low-alloyed | steel, low-alloyed | Cutoff, U (32.7%
scrap) – US; steel production, electric, low-alloyed | steel, low-alloyed |
Cutoff, U (93.3% scrap) - US
Ecoinvent 3.4 2017
Carbon Low Alloy
Steel Components
market for hot rolling, steel | hot rolling, steel | Cutoff, U – GLO; steel
production, converter, low-alloyed | steel, low-alloyed | Cutoff, U (32.7%
scrap) – US; steel production, electric, low-alloyed | steel, low-alloyed |
Cutoff, U (93.3% scrap) - US
Ecoinvent 3.4 2017
Carbon Steel
Components
market for drawing of pipe, steel | drawing of pipe, steel | Cutoff, U –
GLO; market for hot rolling, steel | hot rolling, steel | Cutoff, U – GLO;
market for metal working, average for steel product manufacturing |
metal working, average for steel product manufacturing | Cutoff, U –
GLO; market for section bar rolling, steel | section bar rolling, steel |
Cutoff, U – GLO; welding, arc, steel | welding, arc, steel | Cutoff, U – RER;
market for zinc coat, pieces | zinc coat, pieces | Cutoff, U – GLO; steel
production, converter, unalloyed | steel, unalloyed | Cutoff, U (32.7%
scrap) – US; steel production, electric, unalloyed | steel, unalloyed |
Cutoff, U (93.3% scrap) - US
Ecoinvent 3.4 2017
Low Alloy Steel
Components
market for drawing of pipe, steel | drawing of pipe, steel | Cutoff, U –
GLO; market for hot rolling, steel | hot rolling, steel | Cutoff, U – GLO;
market for sheet rolling, steel | sheet rolling, steel | Cutoff, U – GLO;
market for zinc coat, coils | zinc coat, coils | Cutoff, U – GLO; market for
zinc coat, pieces | zinc coat, pieces | Cutoff, U – GLO; steel production,
converter, unalloyed | steel, unalloyed | Cutoff, U (32.7% scrap) – US;
steel production, electric, unalloyed | steel, unalloyed | Cutoff, U (93.3%
scrap) - US
Ecoinvent 3.4 2017
Low Carbon Steel
Components
market for drawing of pipe, steel | drawing of pipe, steel | Cutoff, U –
GLO; market for hot rolling, steel | hot rolling, steel | Cutoff, U – GLO;
market for powder coat, steel | powder coat, steel | Cutoff, U – GLO;
market for section bar rolling, steel | section bar rolling, steel | Cutoff, U
– GLO; market for sheet rolling, steel | sheet rolling, steel | Cutoff, U –
GLO; market for zinc coat, coils | zinc coat, coils | Cutoff, U – GLO; steel
production, converter, unalloyed | steel, unalloyed | Cutoff, U (32.7%
scrap) – US; steel production, electric, unalloyed | steel, unalloyed |
Cutoff, U (93.3% scrap) - US
Ecoinvent 3.4 2017
Medium Carbon Steel
Components
market for drawing of pipe, steel | drawing of pipe, steel | Cutoff, U –
GLO; market for hot rolling, steel | hot rolling, steel | Cutoff, U – GLO;
market for section bar rolling, steel | section bar rolling, steel | Cutoff, U
– GLO; market for sheet rolling, steel | sheet rolling, steel | Cutoff, U –
GLO; market for zinc coat, pieces | zinc coat, pieces | Cutoff, U – GLO;
steel production, converter, unalloyed | steel, unalloyed | Cutoff, U
(32.7% scrap) – US; steel production, electric, unalloyed | steel, unalloyed
| Cutoff, U (93.3% scrap) - US
Ecoinvent 3.4 2017
Stainless Steel
Components
market for drawing of pipe, steel | drawing of pipe, steel | Cutoff, U –
GLO; market for hot rolling, steel | hot rolling, steel | Cutoff, U – GLO;
market for section bar rolling, steel | section bar rolling, steel | Cutoff, U
Ecoinvent 3.4 2017
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Flow Dataset Data Source Database Year
– GLO; market for sheet rolling, chromium steel | sheet rolling,
chromium steel | Cutoff, U – GLO; market for welding, arc, steel |
welding, arc, steel | Cutoff, U – GLO; steel production, electric, chromium
steel 18/8 | steel, chromium steel 18/8 | Cutoff, U (93.3% scrap) – US;
steel production, converter, chromium steel 18/8 | steel, chromium steel
18/8 | Cutoff, U (32.7% scrap) - US
Aluminum
Components
aluminium production, primary, ingot | aluminium, primary, ingot |
Cutoff, U (85% scrap) – US; market for laser machining, metal, with YAG-
laser, 500W power | laser machining, metal, with YAG-laser, 500W power
| Cutoff, U – GLO; market for section bar extrusion, aluminium | section
bar extrusion, aluminium | Cutoff, U – GLO; market for sheet rolling,
aluminium | sheet rolling, aluminium | Cutoff, U - GLO
Ecoinvent 3.4 2017
Bronze Components market for bronze | bronze | Cutoff, U – GLO; market for casting, bronze
| casting, bronze | Cutoff, U - GLO Ecoinvent 3.4 2017
Wood Components market for plywood, for outdoor use | plywood, for outdoor use | Cutoff,
U - RoW Ecoinvent 3.4 2017
Packaging
Corrugated Board corrugated board box production | corrugated board box | Cutoff, U -
RoW Ecoinvent 3.4 2017
Wooden Pallet EUR-flat pallet production | EUR-flat pallet | Cutoff, U - RoW Ecoinvent 3.4 2017
Wood board, softwood, raw, air drying to u=20% | sawnwood, board, softwood,
raw, dried (u=20%) | Cutoff, U - RoW Ecoinvent 3.4 2017
Electricity/Heat/Resources for Manufacturing
Electricity Electricity, medium voltage, at grid/NWPP 2016 U Ecoinvent 3.4;
eGRID2016 2017; 2018
Natural Gas market for heat, district or industrial, natural gas | heat, district or
industrial, natural gas | Cutoff, U - RoW Ecoinvent 3.4 2017
Propane market for propane, burned in building machine | propane, burned in
building machine | Cutoff, U - GLO Ecoinvent 3.4 2017
Water market for tap water | tap water | Cutoff, U - RoW Ecoinvent 3.4 2017
Transportation
Road market for transport, freight, lorry 16-32 metric ton, EURO4 | transport,
freight, lorry 16-32 metric ton, EURO4 | Cutoff, U - GLO Ecoinvent 3.4 2017
Ship market for transport, freight, sea, transoceanic ship | transport, freight,
sea, transoceanic ship | Cutoff, U - GLO Ecoinvent 3.4 2017
Train market for transport, freight train | transport, freight train | Cutoff, U -
RoW Ecoinvent 3.4 2017
3.6 Data Quality
The data quality assessment addressed the following parameters: time-related coverage, geographical coverage,
technological coverage, precision, completeness, representativeness, consistency, reproducibility, sources of data, and
uncertainty.
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Table 6. Data quality assessment for the EPD.
Data Quality Parameter Data Quality Discussion
Time-Related Coverage:
Age of data and the minimum length
of time over which data is collected
The most recent available data are used, based on other considerations such as data quality
and similarity to the actual operations. All of the data used represented an average of at least
one year’s worth of data collection, and up to three years in some cases. Manufacturer-supplied
data (primary data) are based on annual production for 2017.
Geographical Coverage:
Geographical area from which data
for unit processes is collected to
satisfy the goal of the study
The data used in the analysis provide the best possible representation available with current
data. Actual processes for upstream operations are primarily North American. Surrogate data
used in the assessment are representative of North American or European operations. Data
representative of European operations are considered sufficiently similar to actual processes.
Technology Coverage:
Specific technology or technology mix
For the most part, data are representative of the actual technologies used for processing,
transportation, and manufacturing operations. Representative material datasets are used to
represent the actual processes where needed.
Precision:
Measure of the variability of the data
values for each data expressed
Precision of results are not quantified due to a lack of data. Data collected for operations were
typically averaged for one or more years and over multiple operations, which is expected to
reduce the variability of results.
Completeness:
Percentage of flow that is measured
or estimated
The LCA model included all known mass and energy flows for production of product. However,
the manufacturer could only provide 95% of the product mass in material components. In some
instances, surrogate data used to represent upstream and downstream operations may be
missing some data which is propagated in the model. No known processes or activities
contributing to more than 1% of the total environmental impact for each indicator are excluded.
In total, these missing data represent 5% of the mass or energy flows.
Representativeness:
Qualitative assessment of the degree
to which the data set reflects the true
population of interest
Data used in the assessment represent typical or average processes as currently reported from
multiple data sources and are therefore generally representative of the range of actual
processes and technologies for production of these materials. Considerable deviation may
exist among actual processes on a site-specific basis; however, such a determination would
require detailed data collection throughout the supply chain back to resource extraction.
Consistency:
Qualitative assessment of whether
the study methodology is applied
uniformly to the various components
of the analysis
The consistency of the assessment is considered to be high. Data sources of similar quality and
age are used taken from Ecoinvent v3.4. Different portions of the product life cycle are equally
considered.
Reproducibility:
Qualitative assessment of the extent
to which information about the
methodology and data values would
allow an independent practitioner to
reproduce the results reported in the
study
Based on the description of data and assumptions used, this assessment would be
reproducible by other practitioners. All assumptions and data sources are documented.
Sources of the Data:
Description of all primary and
secondary data sources
Data representing energy use at the manufacturing facility represent an annual average and are
considered of high quality due to the length of time over which these data are collected, as
compared to a snapshot that may not accurately reflect fluctuations in production. The
Ecoinvent v3.4 database is used for secondary LCI datasets.
Uncertainty of the Information:
Uncertainty related to data, models,
and assumptions
Uncertainty related to materials in the product and packaging is sufficiently low. Actual supplier
data for upstream operations was not available for suppliers and the study relied upon the use
of existing representative datasets. These datasets contained relatively recent data (<10 years)
but lacked geographical representativeness. Uncertainty related to the impact assessment
methods used in the study are high. The impact assessment method required by the PCR
includes impact potentials, which lack characterization of providing and receiving environments
or tipping points.
3.7 Period under review
The period of review is calendar year 2017.
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3.8 Allocation
This study follows the allocation guidelines of ISO 14044, and sought to minimize the use of allocation wherever possible.
According to the PCR, allocation procedures should be based on physical relationships (e.g., volume, energy content, or
mass-based relationships).
For the raw material supply (A1) and all secondary datasets used for this LCA study, processes were modelled using the
cut-off system model of Ecoinvent v3.4 database.
For the transport stage (A2), impacts were allocated based on the mass of materials and distance transported from first
tier suppliers to the facility.
For the manufacturing stage (A3), annual facility-level electricity, natural gas, and water use data were provided by the
manufacturer for calendar year 2017 for the Ogden, Utah plant. Resource use and emissions were allocated to the
product based on the mass of the product as a fraction of the total plant production of all products produced at the plant.
3.9 Comparability
The Product Category Rule (PCR) this EPD was based on was not written to support comparative assertions. EPDs based on
different PCRs, or different calculation models, may not be comparable. When attempting to compare EPDs or life cycle
impacts of products from different companies, the user should be aware of the uncertainty in the final results, due to and
not limited to, the practitioner’s assumptions, the source of the data used in the study, and the specifics of the product
modeled.
4. LCA: Results
Table 7. Life cycle phases included in the product system boundary.
Product Construction
Process Use End-of-life
Benefits
& loads
beyond
the
system
boundary
A1 A2 A3 A4 A5 B1 B1 B3 B4 B5 B6 B7 C1 C2 C3 C4 D
Ra
w m
ate
ria
l ext
ract
ion
an
d p
roce
ssin
g
Tra
nsp
ort
to
ma
nu
fact
ure
r
Ma
nu
fact
uri
ng
Tra
nsp
ort
Co
nst
ruct
ion
-
inst
alla
tio
n
Use
Ma
inte
na
nce
Re
pa
ir
Re
pla
cem
en
t
Re
furb
ish
me
nt
Op
era
tio
na
l en
erg
y u
se
Op
era
tio
na
l wa
ter
use
De
con
stru
ctio
n
de
mo
litio
n
Tra
nsp
ort
Wa
ste
pro
cess
ing
Dis
po
sal
Re
use
, re
cove
ry a
nd
/or
recy
clin
g p
ote
nti
al
X X X MND MND MND MND MND MND MND MND MND MND MND MND MND MND
X = Module included | MND = Module not declared
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Table 8. CML Life Cycle Impact Assessment (LCIA) results for 1 linear m of the Jetway® Passenger Boarding Bridge. All values are rounded to
two significant digits.
Impact category Unit Module A1 Module A2 Module A3
Total Sourcing/Extraction Transport Manufacturing
Global Warming Potential (GWP-
100) kg CO2 eq
1.3x103 76 150 1.5x103
85% 5.0% 10% 100%
Acidification Potential kg SO2 eq 6.5 0.31 0.43 7.2
90% 4.2% 6.0% 100%
Eutrophication Potential kg PO43- eq
2.9 7.2x10-2 0.28 3.2
89% 2.2% 8.6% 100%
Photochemical Ozone Creation
Potential kg C2H4 eq
0.62 1.3x10-2 1.7x10-2 0.65
95% 2.0% 2.6% 100%
Ozone Depletion Potential kg CFC-11 eq 8.1x10-5 1.4x10-5 8.1x10-6 1.0x10-4
79% 13% 7.9% 100%
Abiotic Resource Depletion
(Elements)* kg Sb eq
3.0x10-2 2.3x10-4 1.3x10-4 3.0x10-2
99% 0.75% 0.44% 100%
Abiotic Resource Depletion (Fossil) MJ eq 1.4x104 1.1x103 2.0x103 1.7x104
82% 6.7% 12% 100%
*This indicator is based on assumptions regarding current reserves estimates. Users should use caution when interpreting results because there is
insufficient information on which indicator is best for assessing the depletion of abiotic resources
Table 9. TRACI Life Cycle Impact Assessment (LCIA) results for 1 linear m of the Jetway® Passenger Boarding Bridge. All values are rounded
to two significant digits.
Impact category Unit Module A1 Module A2 Module A3
Total Sourcing/Extraction Transport Manufacturing
Global Warming Potential
(GWP-100) kg CO2 eq
1.4x103 77 1.6x102 1.6x103
86% 4.7% 10% 100%
Acidification Potential kg SO2 eq 6.8 0.35 0.50 7.7
89% 4.6% 6.5% 100%
Eutrophication Potential kg N eq 5.6 9.1x10-2 0.54 6.2
90% 1.5% 8.7% 100%
Photochemical Ozone Creation
Potential kg O3 eq
71 8.2 7.5 86
82% 10% 8.7% 100%
Ozone Depletion Potential kg CFC-11 eq 9.9x10-5 1.8x10-5 1.2x10-5 1.3x10-4
76% 14% 9.3% 100%
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Table 10. Resource use results for 1 linear m of the Jetway® Passenger Boarding Bridge. All values are rounded to two significant digits.
Parameter Unit
Module A1 Module A2 Module A3
Total Sourcing/
Extraction Transport Manufacturing
Use of renewable primary energy excluding the renewable
primary energy resources used as raw materials [PERE] MJ INA INA INA INA
Use of renewable primary energy resources used as raw
materials [PERM] MJ INA INA INA INA
Total use of renewable primary energy resources [PERT] MJ 4.4x103 17 3.2x103 7.6x103
58% 0.23% 42% 100%
Use of non-renewable primary energy excluding non-
renewable primary energy resources used as raw materials
[PENRE]
MJ INA INA INA INA
Use of non-renewable primary energy resources used as
raw materials [PENRM] MJ INA INA INA INA
Total use of non-renewable primary energy resources
[PENRT] MJ
1.3x104 1.1x103 1.7x103 1.6x104
82% 7.0% 11% 100%
Use of secondary materials [SM] kg 520 0.0 0.0 520
100% 0.0% 0.0% 100%
Use of renewable secondary fuels [RSF] MJ INA INA INA INA
Use of non-renewable secondary fuels [NRSF] MJ INA INA INA INA
Net use of fresh water resources [FW] m3 75 0.85 8.5 84
89% 1.0% 10% 100%
Use of renewable material resource kg 78 0.0 0.0 78
100% 0.0% 0.0% 100%
INA = Indicator Not Assessed
Table 11. Waste and outflow results for 1 linear m of the Jetway® Passenger Boarding Bridge. All values are rounded to two significant
digits.
Parameter Unit
Module A1 Module A2 Module A3
Total Sourcing/
Extraction Transport Manufacturing
Hazardous waste disposed [HWD] kg 4.4 7.5x10-4 0.12 4.5
97% 0.017% 2.7% 100%
Non-hazardous waste disposed [NHWD] kg 4.3x102 54 12 5.0x102
87% 11% 2.4% 100%
Radioactive waste disposed [RWD] kg 4.2x10-2 7.7x10-3 4.6x10-3 5.4x10-2
77% 14% 8.4% 100%
Components for re-use [CRU] kg 0 0 0 0
Materials for recycling [MFR] kg Neg Neg 7.1x102 7.1x102
0.0% 0.0% 100% 100%
Materials for energy recovery [MER] kg INA INA INA INA
Exported energy [EEE] MJ INA INA INA INA
Use of renewable material resources [RMR] kg 77 Neg 58 135
57% 0.0% 43% 100%
INA = Indicator Not Assessed
Neg = Negligible
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6. LCA: Interpretation
The interpretation phase conforms to ISO 14044 with further guidance from the ILCD General Guide for Life Cycle
Assessment. The interpretation included the use of evaluation and sensitivity checks to steer the iterative process during
the assessment, and a final evaluation including completeness, sensitivity, and consistency checks, at the end of the study.
In general, the raw material extraction and processing phase (A1) is the largest contributor to the cradle-to-gate impacts,
followed by product manufacturing (A3), and transport (A2). More specifically, the contribution to impacts from the
production of steel components is the largest (primarily from carbon steel components and low carbon steel components).
The second largest contribution to environmental impacts is from manufacturing (primarily from electricity use). Ultimately,
the transport of materials from first tier supplier to the manufacturing facility over the life cycle of the product is relatively
small (up to 13% contribution).
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References
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4d6b-bed0-996201185b12/World+Steel+in+Figures+2018.pdf
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For more information, contact:
JBT Corporation
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Ogden Utah 84401
https://www.jbtc.com | 801.629.3408
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Main +1.510.452.8000 | fax +1.510.452.8001