Lesson 1Assessing data quality: temporal, geographic, technological representativeness and uncertaintyThis part shows data quality assessment for LCI, covering time, place, and tech representativeness, completeness, precision, and uncertainty, and how to score and write quality for bottle system datasets.
Temporal representativeness and data ageGeographic coverage and regional relevanceTechnological representativeness of processesCompleteness and precision of inventory flowsQualitative scoring and uncertainty flagsLesson 2Transport modeling: modal choices, typical distances for North America and Europe, fuel and load factorsThis part explains how to model freight transport for bottle systems, including picking transport modes, estimating usual regional distances, and setting real fuel use, load factors, and backhaul ideas for North America and Europe.
Selecting relevant freight transport modesTypical road, rail, sea distances by regionEstimating fuel consumption and emission factorsModeling load factors and empty backhaulsAllocating transport to functional unitLesson 3Identifying required inventory flows: materials, energy, transport, water, wasteThis part introduces how to find all required inventory flows for bottle LCIs, including materials, energy, transport, water, emissions, and waste, and how to make sure completeness and match with functional unit.
Linking flows to the functional unitListing material inputs and auxiliary materialsIdentifying energy carriers and utilitiesCapturing transport, water, and emissionsChecking completeness and avoiding double countingLesson 4Using secondary datasets: ecoinvent, US LCI, ELCD, GaBi proxies — how to search and select matching processesThis part focuses on picking and using secondary LCI datasets from sources like ecoinvent, US LCI, ELCD, and GaBi, including search ways, proxy picking, metadata checks, and fitting datasets to bottle system needs.
Searching databases for matching processesInterpreting metadata and system boundariesChoosing and justifying proxy processesAdapting datasets to regional conditionsHandling cutoffs and allocation in datasetsLesson 5Documenting sources and citing datasets, papers, calculators, and government statisticsThis part explains how to clear document all LCI sources, including databases, checked papers, industry reports, calculators, and government stats, and how to cite them steady for reproducible bottle studies.
Creating a structured LCI data logReferencing LCI databases and versionsCiting peer-reviewed and industry studiesUsing and documenting online calculatorsReferencing government and statistical dataLesson 6Modeling manufacturing processes: steel production, injection/stretch blow molding for PET, forming and finishingThis part covers modeling manufacturing for PET and stainless steel bottles, including steelmaking paths, PET resin making, injection and stretch blow molding, forming, trimming, finishing, and adding scrap and yield losses.
Steelmaking routes and alloy specificationsPET resin production and drying stepsInjection and stretch blow molding parametersForming, trimming, and surface finishingModeling scrap rates and material yield lossesLesson 7End-of-life pathways: recycling rates, mechanical recycling processes for PET and stainless steel, landfill, incineration with energy recoveryThis part explains how to model end-of-life for PET and stainless steel bottles, including regional recycling rates, mechanical recycling processes, landfill and incineration with energy recovery, and sharing recycling benefits and burdens.
Collecting regional recycling and disposal ratesModeling PET mechanical recycling processesModeling stainless steel recycling routesLandfill and incineration with energy recoveryAllocation approaches for recycling creditsLesson 8Estimating material composition and mass flows for stainless steel and PET bottlesThis part describes how to estimate material makeup and mass flows for PET and stainless steel bottles, including wall thickness, closures, labels, secondary parts, and how to turn drawings or bills of materials into LCI inputs.
Interpreting drawings and specificationsEstimating PET and steel wall thicknessesAccounting for caps, labels, and coatingsConverting volumes to masses and densitiesBuilding mass balance tables for the LCILesson 9Use-phase modeling for reusable bottles: washing scenarios (hand vs. dishwasher), frequency of reuse, cleaning agents and hot water energyThis part details how to model the use phase of reusable bottles, including washing frequency, hand versus dishwasher cleaning, hot water energy demand, detergent use, and user behavior scenarios that big affect overall LCI results.
Defining realistic reuse frequency scenariosHand washing water, energy, and detergent useDishwasher cycles, loading, and energy profilesModeling hot water generation and fuel mixesSensitivity analysis on user behavior patterns
