Cars Have Ratings. Buildings Have Renders.
BUILDING ZERO, PERFORMANCE FIRST · ARTICLE 00
Words by Jiyan Pattharwala (Founder & CEO) · Siddhi Vashi (Building Physics Consultant, BZC)
We know everything about how a car behaves before we buy it. Why is the same not expected of the spaces we live and work in?
Imagine walking into a car showroom
You like one of the cars.
Before you buy it, you start asking questions. How quickly does it go from 0 to 100? How does it feel when you overtake? What mileage does it actually give in city traffic? Is the engine reliable? Is maintenance expensive? What do owners say after two or three years?
Then you take a test drive. You watch a few reviews. Someone has driven it on the highway, someone through traffic, someone over bad roads. They have tested the AC, sat in the back seat, measured the mileage and lived with the car long enough to notice what a fifteen-minute showroom drive cannot tell you.
You have not bought the car yet. But you already know quite a lot about how it is expected to behave when you actually use it.
That expectation feels completely ordinary. Of course you would want to know.
Now imagine buying a home or an office space
You enter the sample space.
You have done your homework. What is the carpet area? What is the rate per square foot? Which floor? How many lifts? How many parking spaces? When is possession? Is the title clear? What is the maintenance charge? What has the developer delivered before, and did they deliver on time?
Or imagine a company taking two office floors. The questions change slightly: rent, escalation, lock-in, seat count, parking ratio, fit-out period, lift waiting time at nine in the morning.
These are all reasonable questions. But notice what most of them protect: the transaction. How much? How many? How soon? Who is responsible?
We know how the car will perform. What about the building?
A car brochure may tell you what the car contains — engine size, airbags, infotainment, boot space — but it also tells you how the car is expected to perform: how fast it accelerates, how efficiently it runs, how safely it protects its occupants and how it behaves on the road.
A building brochure usually stops at the first half of that equation. It tells us what has been provided: area, finishes, lifts, parking, amenities, backup power. What it rarely tells us is how the space will actually perform once people begin living or working inside it.
You may spend an hour a day in your car. You may spend twenty inside buildings.
Let’s try a question.
Name one performance number about the building you slept in last night?
Not its area. Not its price. Not how many floors it has. One number that tells you what the space actually does for the person inside it. Most of us cannot.
Put the two brochures side by side
We did this recently: a stack of car brochures beside a stack of property brochures. We expected one industry to speak in engineering and the other in aspiration.
It turns out both are perfectly capable of theatre.
“The SUV is a kingdom on wheels. Built like a tank. A phenom unleashed. Its paint colours apparently express its indomitable character.” That is not engineering communication. It is not very different from a tower promising elevated living, timeless luxury or the city’s most glamorous architecture. So the difference is not that cars are sold rationally and buildings emotionally.
Both sell desire. The difference appears only when the selling has to stop.
We compared almost fifty car and property brochures (residential and commercial) and mapped what each chooses to highlight.
FIGURE 01 / Two brochures, side by side. The car publishes numbers; the building lists what is provided.
The numbers behind everyday comfort
This would matter less if buildings were objects we occasionally used. They are not. They are the environments our bodies inhabit. A normal day happens overwhelmingly indoors: waking and eating breakfast in one building, travelling to another, spending eight or nine hours working there, then returning home and sleeping for another eight.
So, what exactly is the building doing during all those hours?
Each panel below carries two houses on the same street, sold on the same drawings and the same renders: House A, built to standard Indian market practice, and House B, designed against a data-driven performance model.
So why are these questions missing?
Partly because the incentives point somewhere else. Better insulation costs money before sale. Lower electricity bills arrive later, to someone else. Careful solar control may save hundreds of uncomfortable afternoons. A visible upgrade can help close the sale this quarter.
Architecture has its own version of the problem. We photograph buildings when they are new, empty, clean and staged, often at exactly the hour the light is beautiful. The building has not yet survived a summer. Nobody has spent eight hours in the meeting room. Nobody has received the first annual electricity bill. Yet that is often when we declare it successful.
We judge the photograph. Occupants live with the physics.
In The Market for Lemons (1970), economist George Akerlof described what happens when sellers know more about a product's quality than buyers do.
The classic example is the used-car market. A seller knows whether a car is good or a “lemon,” but the buyer cannot easily tell before purchase. Because buyers cannot reliably distinguish good cars from bad ones, they are reluctant to pay a premium for quality. That pushes prices toward an average. Owners of genuinely good cars may then decide the market price is too low and withdraw them, leaving a higher proportion of poor-quality products in the market.
The core idea is:
When quality is difficult for buyers to see, good quality is difficult for sellers to be rewarded for.
That turns building performance from a sustainability issue into a market-information issue.
Measurement is not only about exposing failure. It gives genuine quality something visible to compete on.
Le Corbusier asked this a century ago
The comparison between cars and buildings is not new. In Vers une architecture (1923), Le Corbusier placed the Parthenon beside a Delage automobile. He was not asking buildings to look like cars. He was interested in how cars became good. A motor car was not drawn once, built once and declared complete. It was produced, driven, criticised, altered and produced again. One version exposed the weaknesses of the last. Thousands of users created feedback. The next model had another chance.
Buildings rarely get that chance. But the problem is not simply that every building is different. It is that the feedback loop is broken. The people who design a building are often not the people who operate it. The people who build it may never see how it performs five summers later. Occupants experience the failures, facility teams work around them, and the lessons often remain trapped within that one project.
The automobile industry turns millions of kilometres of use into the next generation of the product. Buildings generate equally valuable evidence — energy bills, comfort complaints, maintenance records, indoor-air measurements, leakage, glare, equipment failures — but much of it never finds its way back to the next drawing board.
Why numbers matter
On 31 January 2014, Global NCAP published the first independent crash-test results for five familiar Indian-market cars: the Maruti Suzuki Alto 800, Hyundai i10, Ford Figo, Volkswagen Polo and Tata Nano. Global NCAP chose entry-level versions; none had airbags as standard. Each was subjected to a 64 km/h frontal impact test.
The structures of the Alto 800, Nano and i10 were judged inadequate and collapsed to varying degrees. The Figo and Polo structures remained stable, meaning airbags could materially improve protection. Volkswagen then withdrew the non-airbag Polo from sale in India and made two frontal airbags standard. Global NCAP tested that version. It received four stars.
A buyer did not need to understand crash dynamics, dummy instrumentation or structural load paths. A rating created a question ordinary people could ask, a comparison they could understand, and a way for a better-performing product to prove the difference.
The test did not invent safety. It made safety visible.
That is the point of this article too. For a car, people ask about acceleration, mileage, ride, comfort, reliability, service, resale and what owners say after two years. A test drive is followed by reviews at home.
If so much performance information is considered ordinary when buying a car, why is the same not expected of a building?
Somebody is already doing this
None of this is hypothetical. In several markets, a building’s measured performance is already a published number that buyers and tenants can see before they sign.
Programme | What is measured | The scale | What it forces |
NABERS (Australia) | Twelve consecutive months of actual metered energy. Utility bills, not a model. | Zero to six stars. A five-star building uses roughly twice the energy of a six. | Office space above 1,000 m² cannot be sold or leased without a current rating, and the rating must appear in the advertising. |
Passive House (International) | The finished building, tested after construction with a blower door. | Heating demand at or below 15 kWh/m²·yr. Airtightness at or below 0.6 ach. | A project passes or it does not. No amount of good intent substitutes for the reading. |
Energy Grades (New York City) | Annual metered energy, graded the way restaurant hygiene is graded. | A to F. A is a score of 85 or above; D is below 55; F means the owner did not report. | Buildings over 25,000 sq ft must post the grade within ten feet of every public entrance. |
Building Benchmark (Canada) | Reported building energy, published on the GRID platform. | Voluntary. Launched 2020, convened by the OPEN Green Building Society. | Participation is itself the signal: owners choose to make the number public. |
FIGURE 06 / Four programmes that publish what a building actually does, compared on the same four questions: what gets measured, on what scale, and what the rating obliges an owner to do.
FIGURE 8 / Making building performance visible. Building Benchmark BC maps participating buildings by emissions intensity, with site EUI and comparison against similar properties; NYC’s Local Law 33 takes disclosure to the street, requiring a grade to be posted near every public entrance so building performance can be read from the pavement.
Each of these also plays an important role in driving a premium.
What if buildings had a spec sheet?
FIGURE 9 / A performance report for a building, drawn up the way a car magazine reports a road test.
So what would a number change?
A tenant does not need to understand psychrometrics to read an EPI, a summer peak temperature, a daylight figure. The number does the translating. And once the number exists, three things follow that no amount of advocacy achieves on its own.
First, comparison becomes possible. A buyer can hold two options to the same yardstick — the way five stars can be weighed against three — without needing to understand the physics underneath.
Second, quality gets rewarded. Once performance is visible, better buildings can prove it and charge for it. Akerlof’s problem, run in reverse.
Third, the feedback loop closes. Published numbers flow back to the next drawing board, and buildings can begin to improve the way cars did — generation by generation, not project by project.
Cars got safer not because buyers learned crash dynamics. They got safer because someone published the test results. The building industry already has the instruments - the models, the meters, the standards. What it mostly lacks is the habit of publishing what they say.
Building Zero Consultants brings performance-based building science into projects from the first sketch — fluent in Indian standards such as ECSBC 2024, GRIHA, IGBC and LEED, and Canadian standards such as NECB, the BC Energy Step Code, Passive House and Zero Carbon. One science, two markets.
Where this series goes
This series aims to make a building's performance as ordinary a question as a car's. Each article covers one part of that: what can be predicted before construction, what has to be measured after, and what the numbers actually change.
Resilient first. Reduce next. Generate last.
NEXT IN SERIES · ARTICLE 01 — What building simulation actually shows (before a single brick is laid)
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