Case Studies

ERV Installation Case Studies from Indian Projects

Real installations. Real numbers.

Every case study below is based on actual engineering analysis for Indian conditions. We publish the numbers because we stand behind them — and because an informed buyer makes a better partner.

1.2 yrs
Best-case payback period
₹24K/mo
Max monthly energy savings (2000 CMH)
40%
Fan energy saved via smart occupancy control
Case Study 01 · Mumbai

1000 CMH DX Smart Ventilation — AC Downsizing Analysis

A 4,000 sq ft premium apartment in Mumbai with smart occupancy-based ventilation logic. The analysis integrates InAir's DX ventilation performance with CO₂ + RH-based fan modulation and documents annual energy, AC downsizing benefits, and payback period.

InAir case study: 1000 CMH DX Smart Ventilation — AC Downsizing Analysis
1.2
Yrs — best-case payback
40%
Fan energy saved smart vs constant
20%
Max AC tonnage reduction
Design Conditions
LocationMumbai (Hot & Humid – High Latent Load)
Space4,000 sq ft premium apartment
System1,000 CMH DX ventilation unit
DX Input3.0 kW fixed (compressor ON)
Fan Power0.25 kW EC motor (occupancy modulated)
Control LogicCO₂ + RH-based fan modulation
Tariff₹10 / kWh
Smart Ventilation Logic
ConditionFan OperationDX Logic
Vacant (>40% rooms empty)Fan @ 50% speedDX OFF or RH >70% only
Partially Occupied (60–90%)Fan @ 75% speedDX auto — RH >65%
Fully Occupied (90–100%)Fan @ 100% speedDX active per humidity
Annual Energy & Cost Summary
ComponentAnnual EnergyAnnual Cost
DX Compressor6,132 kWh₹61,320
Smart Fan (occupancy controlled)1,314 kWh₹13,140
Total System7,446 kWh₹74,460
Consolidated Payback Analysis
ScenarioConservativeOptimizedBest Case
AC Energy Saving / yr₹1,00,000₹1,25,000₹1,37,500
InAir OPEX / yr₹74,460₹74,460₹74,460
Net Annual Benefit₹25,540₹50,540₹63,040
System Cost (indicative)₹3,50,000₹3,50,000₹3,50,000
Payback Period≈1.9 years≈1.4 years≈1.2 years

Key takeaway: Occupancy-based ventilation and humidity-driven DX modulation reduce fan runtime from 8,760h to 5,256h — saving ~40% fan energy. Latent load reduction enables 10–20% AC tonnage downsizing, giving 1.2–1.9 year combined payback.

Case Study 02 · System Comparison

2000 CMH — InAir ERV+DX vs InAir ERV vs Decentralised Competitor

For large villas and bungalows (6,000–8,000 sq ft), fresh air requirement typically reaches ~2,000 CMH. This analysis compares three approaches head-to-head on energy costs, installation complexity, and Indian suitability.

InAir case study: 2000 CMH — InAir ERV+DX vs InAir ERV vs Decentralised Competitor
₹24K
Monthly savings — ERV+DX vs no ERV
85%
Max AC load reduction — ERV+DX
1 unit
vs 4–8 units required by competitor brands
HVAC Load Without ERV
~10.2 kW
Fresh air load (~3 TR)
₹30,600
Monthly cost (at ₹10/kWh)
Energy Comparison — Monthly
SystemMonthly CostMonthly SavingAnnual Saving
InAir ERV+DX (2000 CMH)₹6,000₹24,000₹2.9 lakh
InAir ERV (2000 CMH)₹14,400₹16,000₹1.9 lakh
Decentralised competitor (4–8 units)₹18–21,000₹9–12,000₹1.2 lakh
No ERV (baseline)₹30,600——
Product Comparison Table
ParameterInAir ERV+DXInAir ERVDecentralised Competitor
System typeCentralizedCentralizedDecentralized
Units required1 unit1 unit4–8 units
DX Cooling✓ Yes✗ No✗ No
Dehumidification✓ Active✗ No✗ No
AC Load Reduction70–85%50–60%30–50%
CO₂-based DCV✓ Yes✓ Yes✗ Not integrated
IAQ Sensors✓ Full suite✓ Full suite✗ Not integrated
PUF Insulation✓ Yes✓ Yes✗ Not standard
EC Motors✓ High efficiency✓ YesMixed / AC motors
Indian conditions✓ Designed for✓ Designed forNot calibrated for Indian conditions
InstallationClean centralizedClean centralizedMultiple penetrations
MaintenanceSingle pointSingle pointMultiple service points
"At 2000 CMH, ventilation is no longer a small-room problem — it becomes a system design problem. A single intelligent system consistently outperforms multiple independent units."
Case Study 03 · Smart Control

Smart Occupancy-Based Ventilation — Fan Energy Analysis

Comparing constant 24×7 operation vs intelligent occupancy-based fan modulation. This analysis shows how CO₂ and humidity sensor integration directly reduces operating costs — without compromising air quality.

InAir case study: Smart Occupancy-Based Ventilation — Fan Energy Analysis
40%
Annual fan energy reduction
5,256h
Runtime (vs 8,760h constant)
876 kWh
Annual energy saved per unit
Fan Energy — Smart vs Constant Operation
ModeAvg PowerAnnual HoursAnnual EnergyAnnual Cost
Constant 24×7 (base case)0.25 kW8,760 hrs2,190 kWh₹21,900
Smart occupancy-based (60% avg)0.25 kW5,256 hrs1,314 kWh₹13,140
40%
Annual fan energy saved via smart control
₹8,760
Annual savings per unit (at ₹10/kWh)
Monthly DX Operating Schedule — Mumbai
MonthSeasonDX Hrs/Day
Jan–Feb · Nov–DecWinter2 hours
Mar–JunSummer (peak)10 hours
Jul–SepMonsoon5 hours
OctoberPost-Monsoon4 hours
Case Study 04 · Hyderabad Residential

3 BHK Apartment — Hyderabad, Under Construction

The most common Inair customer: a 3BHK apartment owner building in Kondapur or Gachibowli, asking whether to include a fresh air system during construction. This analysis documents a typical installation — airflow sizing, system cost, and what changes after day one.

InAir case study: 3 BHK Apartment — Hyderabad, Under Construction
350 m³/h
INA-MFQR-350 — ideal airflow
3 rooms
Bedrooms served with fresh air
800ppm
CO₂ target maintained all night
Project Parameters
LocationKondapur / Gachibowli, Hyderabad
Space3 BHK — 1,600 sq ft (150 m²)
Occupancy4 people (family of 4)
ASHRAE 62.162.5 L/s required → rounded to 350 m³/h
Recommended unitRevita INA-MFQR-350 (350 m³/h, 220V, 1-phase)
ClimateHot semi-arid · 42°C peak · 75% RH monsoon
What changes from Day 1
ParameterWithout InairWith Inair ERV
Bedroom CO₂ at night1,200–2,000ppm (heavy, disrupted sleep)<800ppm (ASHRAE well-being zone)
PM2.5 indoorEquals or exceeds outdoor AQI95%+ reduction via MERV-13 / HEPA-13
Allergen loadRecirculated via AC — accumulatesContinuously diluted and exhausted
AC loadBaselineSlight reduction (pre-conditioned fresh air)
Audible noiseAC compressor and fan: 38–45dBInair: 25–28dB — below perception threshold
Installation Summary
ItemDetail
System1 × INA-MFQR-350 (ceiling void) + flat duct to 3 bedrooms + living room
Installation phaseDuring false ceiling / MEP work — ducting routed cleanly before finish
Timeline10–12 days (runs parallel with AC and electrical fit-out)
Civil impact1 × 50mm external wall penetration. No wall hacking after civil finish.
Annual filter serviceMERV-13 / HEPA-13 replacement every 12–18 months based on Hyderabad AQI
The single most important time to install Inair is during construction — ducting adds <5% to false ceiling cost and is invisible post-handover.
Case Study 05 · Work From Home

Home Office — CO₂, Cognitive Performance & the 3pm Crash

For WFH professionals, sealed home offices with running ACs produce some of the worst indoor CO₂ conditions in a home — one person, one room, windows closed, CO₂ reaching 1500–2500ppm by afternoon. This documents exactly what changes with continuous fresh air ventilation.

InAir case study: Home Office — CO₂, Cognitive Performance & the 3pm Crash
2,400
ppm peak CO₂ — sealed home office 4 hrs
50%
Cognitive drop at 2500ppm CO₂ (Harvard)
<700
ppm with Inair — all day, every room
CO₂ vs Cognitive Performance — The Science
CO₂ LevelConditionCognitive Impact
400–600 ppmOutdoor fresh air standardBaseline — optimal performance
700–1000 ppmGood ventilation (ASHRAE target)Minor to no impact — target zone
1000–1500 ppmPoorly ventilated AC room (2–3 hrs)20% drop in complex decision-making
1500–2500 ppmSealed home office, 4–6 hrs35–50% drop — drowsiness, errors
2500+ ppmSealed conference room / bedroomSignificant — comparable to mild intoxication

A WFH professional earning ₹1.5 lakh/month working 8 hrs/day: if CO₂ reduces productivity by 20% for 4 hours each afternoon, that’s effectively ₹30,000/month in lost output. Inair for a 2BHK costs less than 1 month of that productivity loss.

<800ppm
CO₂ maintained all day with Inair
0 dB
Perceived noise — designed to disappear
Case Study 06 · High-AQI Cities

Delhi Winter — Fresh Air During AQI Spike Seasons

The most common objection in high-AQI cities: "we can’t bring in outdoor air in winter." This analysis addresses how Inair’s MERV-13 / HEPA-13 filtration + ERV heat recovery performs during Delhi’s worst air quality months — and why indoor air without Inair is often worse than outdoor air with it.

InAir case study: Delhi Winter — Fresh Air During AQI Spike Seasons
AQI 300
Delhi winter typical peak — PM2.5 220μg/m³
95%
PM2.5 reduction via MERV-13 / HEPA-13 filtration
11μg/m³
Post-filter PM2.5 — below WHO guideline
Delhi Winter Performance
Outdoor AQIAQI 300 (PM2.5: 220μg/m³)
After MERV-13 / HEPA-13 filterPM2.5: ~11μg/m³ (95%+ removal)
Indoor without InairSealed room: CO₂ 1500–2500ppm + indoor PM2.5 accumulates
Indoor with InairCO₂ <800ppm + PM2.5 <12μg/m³
Heat recovery80–90% — fresh air arrives at near indoor temperature
VerdictIndoor air with Inair is significantly better than sealed indoor air without it
The Counter-Intuitive Truth
ScenarioPM2.5 LevelCO₂ LevelAssessment
Sealed AC room (no ventilation)Accumulates over hours1500–2500ppmWorst option
Open windows (AQI 300)220μg/m³ directly<600ppmHigh particulate risk
Air purifier only (sealed room)Reduced particulatesCO₂ still buildsPartial solution
Inair ERV (MERV-13 / HEPA-13)~11μg/m³ (<800ppmBest outcome
A sealed room without ventilation doesn’t protect you from outdoor PM2.5 — indoor sources (cooking, cleaning products, furniture off-gassing, occupant metabolism) add their own PM2.5 load over time. You need both filtration and air exchange.
Case Study 07 · Institutional · Hyderabad

Bloomingdale International School — Advanced IAQ Intelligence Platform

InAir implemented a next-generation Indoor Air Quality system at Bloomingdale International School, transforming a large 6 lakh sq. ft. premium campus from conventional fixed ventilation into a fully adaptive, data-driven air quality ecosystem. The solution continuously senses, analyses, and responds to real indoor air conditions across classrooms, labs, corridors, auditoriums, and academic blocks.

InAir case study: Bloomingdale International School — Advanced IAQ Intelligence Platform
6 lakh
sq. ft. campus covered
32,000
CFM total fresh air delivered
7
IAQ parameters monitored per classroom
Deployment Specifications
Campus size~6 lakh sq. ft. — classrooms, labs, academic blocks
Fresh air units4 × 8,000 CFM InAir Fresh Air Units = 32,000 CFM total
ZoningBlock A (2 units) · Block B (2 units) — independently controlled
Control strategyCO₂ + multi-parameter IAQ-driven Demand-Controlled Ventilation
Monitored parametersCO₂ · PM1 · PM2.5 · PM10 · VOC · Temperature · Humidity
IntegrationFull BMS platform — unified monitoring and control dashboard
Airflow controlPrecision motorised dampers — classroom-level individual control
The Challenge — Why Fixed Ventilation Fails at Scale

Traditional ventilation systems operate at a fixed airflow rate — regardless of actual occupancy, CO₂ levels, or pollutant load. A classroom with 8 students gets the same air as one with 38. Result: under-ventilation when full, wasted energy when empty, and no visibility into actual air quality at any point.

Adaptive Ventilation Logic — Four Control Strategies
TriggerSystem Response
High CO₂Increased fresh air supply — occupancy-driven ventilation
High PM2.5 spikeEnhanced filtration mode + increased airflow rate
High VOC levelsRapid air flushing — purge mode activated
Low occupancy / vacantReduced airflow — energy saving mode
Key Outcomes
DimensionResult
IAQ monitoring7-parameter continuous monitoring across all classrooms
Cognitive performanceCO₂ maintained in ASHRAE well-being zone — reduces afternoon fatigue
Energy efficiencyDemand-controlled operation — fans run only when rooms need ventilation
Management visibilityCentral BMS dashboard — identify problem zones in real time
ComplianceASHRAE 62.1 ventilation standards met across all zones
"At Bloomingdale International School, InAir has implemented a fully integrated IAQ-driven ventilation system that continuously senses, analyses, and responds to indoor air conditions — ensuring healthier air, improved comfort, smarter energy use, and real-time management visibility across a 6 lakh sq. ft. campus."
What makes this different from standard institutional ventilation
Multi-parameter sensing
Not just CO₂ — 7 parameters per classroom including PM1, PM2.5, PM10, VOC, temperature, and humidity. Every room is a live IAQ data point.
Classroom-level response
Motorised dampers give individual classroom control. Room 12 getting a VOC spike doesn't affect Room 7's airflow — each room is managed independently.
BMS integration
All IAQ parameters, damper positions, unit status, and alerts are unified into the school's Building Management System — one dashboard, complete visibility.

ESG & sustainability: Demand-controlled ventilation reduces unnecessary fan and HVAC energy consumption. The system provides documented, time-stamped air quality data for governance, parent communication, and sustainability reporting — supporting the school's ESG commitments.

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