Lesson 1Checking data quality: time, place, technology match, and uncertaintyThis part shows data quality checks for LCI, covering time, place, and technology match, completeness, accuracy, and uncertainty, and how to rate and note quality for bottle system data.
Temporal representativeness and data ageGeographic coverage and regional relevanceTechnological representativeness of processesCompleteness and precision of inventory flowsQualitative scoring and uncertainty flagsLesson 2Modelling transport: transport types, usual distances for North America and Europe, fuel and load factorsThis part explains how to model goods transport for bottle systems, including picking transport types, guessing usual regional distances, and setting real fuel use, load factors, and return trip 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 3Finding needed inventory flows: materials, energy, transport, water, wasteThis part introduces how to find all needed inventory flows for bottle LCIs, including materials, energy, transport, water, emissions, and waste, and how to make sure it's complete and matches the 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 pick 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 adjusting datasets for 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 5Noting sources and citing datasets, papers, calculators, and government statsThis part explains how to clearly note all LCI sources, including databases, checked papers, industry reports, calculators, and government stats, and how to cite them the same way for repeatable 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 6Modelling making processes: steel production, injection/stretch blow moulding for PET, forming and finishingThis part covers modelling making processes for PET and stainless steel bottles, including steel making paths, PET resin production, injection and stretch blow moulding, 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 paths: recycling rates, mechanical recycling for PET and stainless steel, landfill, burning with energy recoveryThis part explains how to model end-of-life for PET and stainless steel bottles, including local recycling rates, mechanical recycling processes, landfill and burning 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 8Guessing material makeup and mass flows for stainless steel and PET bottlesThis part describes how to guess material makeup and mass flows for PET and stainless steel bottles, including wall thickness, caps, labels, extra parts, and how to turn drawings or material lists 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 modelling for reusable bottles: washing cases (hand vs. dishwasher), reuse frequency, 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 need, detergent use, and user behaviour cases that greatly 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
