Week 1: Alcohol Fermentation & Baseline Costs
Establishing the chemical and economic baseline: fermentation margins and the absolute price floor of industrial alcohol before taxation.
Core reading: Fermentation of Ultra-Low-Cost Sugar Washes in High-Volume Beverage Production (Smith & Davies, Journal of Industrial Microbiology, 2020).
The Lecture#
This week establishes the chemical and economic baseline for the entire twelve-week curriculum. In this course, alcohol ($C_2H_6O$) is never viewed biologically, socially, or culturally; it is viewed strictly fiscally. Before we can model retail optimization or exploit taxation loopholes, we must first isolate the absolute minimum cost of production before federal excises, packaging logistics, and retail margins distort the final shelf price.
We will examine the molecular efficiency of industrial yeast strains—specifically Saccharomyces cerevisiae, when deployed in high-yield, low-cost sugar washes. By separating the raw thermodynamic cost of fermentation from the eventual retail markup, we establish the baseline price floor of alcohol production.
Understanding this floor is critical. If, during your Week 9 data scraping exercise, you identify a SKU selling below this theoretical cost floor, you know immediately that the retailer is either absorbing a loss-leader margin to drive foot traffic, or the manufacturer has successfully exploited a profound regulatory loophole. Our goal this week is to define exactly what that baseline number is.
Applied Computational Lab#
As outlined in the course syllabus, theory without arithmetic is mere speculation. You must prove the baseline cost before you can optimize against it.
Using the Baseline Yield Calculator widget provided in your lab interface, you will compute the raw production cost of a 10g alcohol unit. Enter the current bulk commodity price of refined sucrose ($/kg) and the estimated thermal energy overhead of the distillation phase. The calculator will output the absolute price floor of production. Record this metric; any disagreement between your local spreadsheet and this baseline floor will fatally compromise your final Event Portfolio.
Mandatory reading#
Every week names two kinds of reading. The core theory (above) establishes the lecture’s argument. The mandatory literature below consists of published work you must extract empirical data from to ground your arithmetic.
-
Ethanol fermentation technologies from sugar and starch feedstocks — Bai, Anderson & Moo-Young, Biotechnology Advances 26(1), 2008, 89–105. This paper outlines the exact industrial ferment that this week’s cost model assumes. You must understand why Saccharomyces remains the organism of choice for high-volume commercial production, even when Zymomonas returns a technically higher yield. Sections 2 and 3 contain the specific metabolic metrics required for your lab arithmetic. Do not skim them.
-
Very high gravity (VHG) ethanolic brewing and fermentation: a research update — Puligundla, Smogrovicova, Obulam & Ko, Journal of Industrial Microbiology & Biotechnology 38(9), 2011, 1133–1144. This paper puts a precise number on the claim made in slide 4 of the lecture: energy accounts for roughly 30% of total production cost, and the vast majority of that expenditure sits downstream of the ferment in the purification phase, rather than in the fermentation vat itself. Extract the energy expenditure percentages to calibrate your lab calculations.
Yield and cost against sugar-wash concentration
Illustrative teaching figures, not a measured producer curve: ethanol yield and pre-tax production cost per litre of pure alcohol as the sugar-wash concentration rises. Move the slider to see where the ferment stops improving.
Ethanol yield (%) Production cost ($/LAL)
View the underlying curve as a table
| Concentration | Yield | Cost per LAL |
|---|---|---|
| 10% w/v | 82% | $3.40 |
| 14% w/v | 89% | $2.95 |
| 18% w/v | 94% | $2.70 |
| 22% w/v | 96% | $2.62 |
| 26% w/v | 93% | $2.78 |
| 30% w/v | 86% | $3.15 |
The week 1 lab: Getting started
The first lab exists to fix the shared vocabulary the rest of the semester is denominated in, before week 1’s fermentation lecture and week 2’s standard-drink lecture ask you to put it to use. Nothing here is graded. Everything here is assumed from week 2 onward.
Before the lab#
The spec above is the contract. Arrive with a specific supermarket’s
online liquor catalogue picked out — the one you will keep returning to for
week 9’s scraping exercise — and a calculator or spreadsheet you are willing
to do arithmetic in during the lab.
In the lab#
The fiscal molecule. Alcohol (C₂H₆O) is not treated biologically in this course; it is treated purely as an economic unit. We fix the chemical baseline week 1’s lecture covers so that a production cost, not an assumed retail price, is what every later tax and margin calculation sits on top of.
The standard drink as currency. In Australia, one standard drink is defined as exactly ten grams of pure alcohol. This lab fixes that figure as the unit every ratio, tax, and comparison for the rest of the semester is denominated in — the way week 2’s lecture treats it as a unit of account, not a serving suggestion.
A first, ungraded index. The formula the semester builds toward —
standard_drinks = (volume_ml × abv_percent × 0.789) / 1000
index = standard_drinks / price_dollars— is previewed here only far enough to compute it by hand for two or three products from the catalogue you picked. Week 10 formalises the constrained version; this lab only checks that the unconstrained number comes out right.
Required reading: Standard Drink Equivalency Models in High-Volume Retail Environments (Health Economics, 2017)
Afterwards#
You leave with a working catalogue, a correct standard-drink conversion, and one hand-computed index value — the three things week 9’s scraping exercise scales up and week 10’s lecture formalises.
What you leave the lab able to do
Written so a reader can tell whether it has been met without asking you. The assessments assume it has.
- you can state the standard-drink content of a product from its volume and ABV
- you have picked one supermarket's online liquor catalogue as your working dataset for the semester
- you can compute one ungraded ABV-to-dollar index value by hand before you leave
Teaching team
- Marisol Quaye — convenor