Programme and method
The fictional loan programme and the consultancy, the two phases of the commission, and then the reference material every design is measured and costed against.
How to use this page
4 steps
Four steps. What the scenario is, and where the reference material lives.
Step 1 Read the scenario first
A fictional loan programme, a fictional consultancy, a real client brief. It gives the engineering a client, a deadline and a budget — and it is the reason your proposal has to argue for its cost rather than just state it.
Step 2 Measurement, then design
Weeks 1 to 6 work out what you would need to know and produce a measurement programme. Weeks 8 to 12 use the supplied findings to choose and justify a retrofit. Knowing which phase you are in tells you whether a number is an estimate or a finding.
Step 3 Definitions, bands and their limits
Five capped indicators with published definitions, and per-site bands built from three constructed designs. A band is evidence inside a marking criterion. It is never a grade, and the page publishes the sensitivity testing with its limits.
Step 4 Costs, datasets and a worked example
The price schedule is the only place a design may be costed from. The datasets page holds the synthetic data and says what it is not. The worked comparison takes one design idea through all five sites — read it before you build your own options grid.
Teaching fiction. The Household Resilience Loan Programme and Common Ground Engineering do not exist. They are a frame for the engineering: they give every design a client, a deadline, a budget and a reviewer. The government is imaginary. Your water balance still has to add up.
The scenario
A government programme in this course's fiction lends to homeowners for retrofits that make a household more self-reliant in food, water and waste. Loans are selective: an application stands or falls on an engineering proposal showing that the retrofit meets the household's own service needs, costs what it says, and will still be working in five years.
You are a graduate engineer at Common Ground, a small consultancy that prepares those applications. Each graduate takes one household from intake to proposal under a senior reviewer, played by the teaching team, who reads your drafts the way a programme assessor will. Nobody applies for a real loan, and nobody waits a real year.
The two phases

- Weeks 1 to 6 — work out what you would need to know. The homeowner supplies an intake dossier: the property as it stands, what they already own, what they will and will not allow, and the service targets they care about. You work through each candidate system far enough to know what it would need, and you produce a costed twelve-month measurement programme. That is Assignment 1, due in week 7.
- Week 7, then weeks 8 to 12 — decide, and argue for it. Assignment 1 goes in on the Friday. The story then jumps twelve months and the specialist team hands over its analysed findings for your home. You compare the existing baseline with three feasible retrofit options and recommend one. That isAssignment 2.
The specialists' measured year is synthetic, generated to be consistent with each home and labelled that way everywhere it appears. It is the same for every student who took that home, whatever their Assignment 1 said. Specialists analyse; they never choose the system.
What you produce, and what you do not
What an application gets from you is the technical annex and executive recommendation. It is not a loan approval and it is not a construction-certified design: pipe sizes, wiring, structural detail and certification belong to licensed trades later. You specify performance and how to check it has been achieved. There are no interest rates, credit scores or income tests anywhere in this course, and nothing here is financial advice.
The programme's rules
| Rule | Limit |
|---|---|
| Implementation cost | at most $30,000, including a 10 % contingency, priced from the course schedule |
| Process energy | at most 5 kWh a day, averaged over the peak month, counting the loads that run the food, water and waste systems |
| Preliminary investigation | a separate $1,500 per home for measurement equipment and services; consultant time is scheduled in hours, not charged |
| Scope | food, water and waste only; energy and shelter belong to a later round of the programme |
Borrowing more is allowed up to the limit, but a larger loan is a larger exposure, so the programme asks a stronger question of it: what does the extra money buy that a cheaper option does not? That is an engineering question about alternatives, and it is the question Assignment 2 answers.
The reference material
Everything below this line is reference. Come back to it all semester.
- What is measured — the five capped indicators and their definitions
- Reference bands — where the per-site thresholds come from, and what they do not establish
- How stable the bands are — the sensitivity testing, published with its limits
- The screening model — what it contains and what it leaves out
- Measurement primer — instrument classes, units, frequencies and honest accuracies
- Costing and energy — the price schedule, and which loads count
- Worked comparison — one design idea through all five sites
- Datasets — the synthetic data, and what it is not
What is measured
Five indicators, all capped at 100 %, all counted as used rather than produced, and all net of imports. That last rule is the one that does the work: a system running on bought-in feed or carted water scores as what it is.
| Indicator | Definition |
|---|---|
| Water closure | On-site water used, divided by all water used including carted imports. |
| Garden water satisfaction | The share of the garden's irrigation deficit actually met. Always published beside water closure, because a design can reach high water closure by leaving its garden dry. |
| Food energy closure | Food energy produced and eaten, divided by the household's 40.0 MJ/day requirement. |
| Protein closure | Protein produced, divided by 185 g/day. Animal products count only in proportion to feed grown on site. |
| Nutrient closure | Nitrogen safely recovered and applied within crop uptake, divided by 13.6 kg N/year. |
Water closure never appears alone
Water closure is on-site water used divided by all water used. Water that is never used enters neither term — so a design can post a very high closure figure by leaving its garden dry. Alice Springs' excellent reference design reaches 96 % water closure with 16 % garden water satisfaction. The two are published together everywhere, without exception.
Waste-stream recovery is deliberately not banded
Every banded indicator takes its thresholds from three constructed reference designs run through the model. There is no reference calculation for waste-stream recovery, so a band for it would have nothing behind it. It is assessed from your submitted mass balances against the rubric instead. Saying so is better than inventing a number and calling it a measurement.
Reference bands, and what they borrow from NatHERS
NatHERS could not use one national energy target across Australian climates because a single figure "would bias results", so it sets climate-specific star bands. This course borrows the idea and states plainly that it is not the method: NatHERS derives its bands from a population of housing simulations, while these come from three constructed reference designs — baseline, competent and excellent — run through the course's screening model at each site.
| Band | Meaning |
|---|---|
| 1 | Below the baseline reference design |
| 2 | Between baseline and competent |
| 3 | Between competent and excellent |
| 4 | At or beyond excellent |
The reference recipe, identical at every site
One recipe, five climates. Everything that differs between sites' thresholds comes from the climate and the site inventory, never from a different design being used as the yardstick.
| Parameter | Baseline | Competent | Excellent |
|---|---|---|---|
| Domestic demand (L/person/day) | 150 | 150 | 130 |
| Composting toilet | no | yes | yes |
| Share of greywater reused | 0 % | 50 % | 90 % |
| Share of growable area in production | 50 % | 80 % | 100 % |
| Yield vs 1,500 kcal/m²/yr reference | 0.8× | 1× | 1.2× |
| Share of excreted N recovered | 30 % | 60 % | 80 % |
| Aquaponic grow bed | none | 4 m² | 8 m² |
| Added roof catchment | none | none | none |
| New storage spend (tank shells) | $3,000 | $3,500 | $4,000 |
Your site's thresholds
Each cell reads baseline / competent / excellent, as percentages.
| Site | Water closure | Garden water satisfactionalways beside water closure | Food energy closure | Protein closure | Nutrient closure |
|---|---|---|---|---|---|
| CanberraS1 | 65/81/92 | 0.0/15/20 | 1.0/3.3/5.4 | 1.6/5.5/8.8 | 4.0/10/14 |
| Alice SpringsS2 | 78/89/96 | 1.0/12/16 | 0.2/1.6/2.8 | 0.2/2.8/4.9 | 1.0/4.0/6.0 |
| BrisbaneS3 | 68/84/95 | 15/72/79 | 1.2/3.9/6.0 | 1.8/6.4/9.8 | 3.0/8.0/10 |
| AdelaideS4 | 42/59/70 | 0.0/23/27 | 1.1/3.7/5.9 | 1.6/6.1/9.6 | 3.0/9.0/12 |
| DarwinS5 | 73/79/83 | 23/29/31 | 4.8/10/15 | 7.4/16/25 | 13/21/27 |
Rounding. Bands are evaluated against the model's unrounded reference values. The percentages above are a rounded display of those values, not the thresholds themselves — a design at 5.51 % against a threshold displayed as 5.5 % is above it.
How stable are the bands?
The three reference designs were re-run under eleven perturbations of the model's most uncertain constants — reference yield at ±33 %, domestic demand at 120 and 180 L/person/day, runoff coefficient, crop coefficient, feed conversion ratio and tank cost. For each, the question is where the competent design lands inside its site's baseline-to-excellent band. If the method is fair, that position should be similar at every site.
| Indicator | Worst spread | Under which perturbation | Next worst |
|---|---|---|---|
| Garden water satisfaction | 0.34 | demand 120 L/p/d | 0.2 |
| Water closure | 0.24 | demand 120 L/p/d | 0.12 |
| Nutrient closure | 0.15 | Kc 1.05 | 0.14 |
| Food energy closure | 0.07 | tank $200/kL | 0.06 |
| Protein closure | 0.06 | demand 180 L/p/d | 0.06 |
Read that honestly. Food energy and protein are stable. Garden water satisfaction is the least stable indicator in the set, and both it and water closure have their worst case under the same perturbation, domestic demand at 120 L/person/day. Excluding that one case, no indicator spreads by more than 0.17.
Garden water satisfaction was only brought inside this test in September 2026. Before then the stability claim covered four indicators and was quietly assumed to extend to the fifth. It does not, and the figure above is what that assumption was hiding.
What the bands do not establish
- They are not grades. A band is performance evidence inside the marking criteria, contributing to Calculations and Loop integration. Nothing converts a band into a mark.
- They do not prove equal grading outcomes. The testing above shows three constructed designs behaving consistently. It says nothing directly about how real student designs, which vary in ways the model does not represent, will distribute.
- Narrow bands are noisy. Alice Springs' food energy band spans about three percentage points end to end. That is why bands are ordinal — four levels — rather than a continuous score.
- They must be recomputed whenever a course constant changes. Household demand, allowances, the price schedule, model coefficients or the reference recipe: any of them, and every threshold on this page is republished.
The screening model behind all of it
Monthly, transparent, and built only from published formulas so that a student can reproduce any number by hand. It has no drought years, no pests, no soil types and no labour. Water temperature is approximated by air temperature. Food yield rests on a single reference figure of 1,500 kcal/m²/year inside a published range of 500 to 3,000.
It is a screening model, not a validated engineering design, and its outputs are not predictions of real yields. Everything it produces on this site is labelled with its basis.
Measurement primer
What a household measurement programme measures, in what units, how often and how well.
Costing and energy
The price schedule, the bill-of-materials rules, and exactly which loads count against 5 kWh a day.
Worked comparison
One design idea — an extra 20 kL of storage — taken through all five sites, with the answers it gets.
Datasets
The synthetic troubleshooting data the assignments use, and what it is and is not.
The five clients
Parameters, inventory, and the strengths and constraints no indicator scores.