Keralam Clean Cooking Tool
Clean Cooking Tool
Clean Cooking Tool
Scope & Outputs

What the tool covers and what it produces

The tool analyses both residential and commercial cooking. You can work in dish-based mode by selecting meals, dishes, and a fuel for each dish, or in consumption-based mode by entering your actual monthly fuel use. Both modes feed the same energy, cost, emission, and health calculations.

What the tool covers

  • Residential households and commercial kitchens such as schools, anganwadis, hotels, factories, and community kitchens
  • Dish-based input (meals, dishes, and a fuel per dish) or consumption-based input (real monthly fuel use)
  • Fuels: LPG, PNG, grid electricity, biogas, traditional solid biomass, and solar-ready options where applicable

What you get

  • Monthly useful cooking energy, fuel input energy, and fuel quantity
  • Monthly fuel cost and annual CO₂ emissions
  • Overall stove-to-pot efficiency and an indoor PM2.5 health-risk indicator
  • A side-by-side fuel comparison and ranked cleaner-fuel recommendations
How Dish-Based Mode Works

Calorie-normalised energy, not per-serving energy

Dish-based mode does not assume you cook a single serving of each dish you select. Instead, it sizes each meal to the household monthly calorie need, then scales the dishes you picked so that together they meet that calorie target. This keeps results comparable no matter how many dishes are selected.

The scaling steps

meal_target_kcal = calories_per_person_per_day × household_size × 30 × meal_share
meal_scaling = meal_target_kcal ÷ sum(selected_dish_calories_in_meal)
useful_energy = energy_to_cook × meal_scaling × household_efficiency × wastage
What this means in practice: Adding more dishes to a meal mostly redistributes that meal calorie target across them rather than adding new energy. In a worked four-person example, selecting four dishes produced about 364 kWh per month, while selecting every available dish produced about 373 kWh per month. So adding dishes changes the result only slightly, and a single selected dish is scaled up to represent the whole meal.
Model Assumptions

Assumptions and constants

These are the default values the calculator uses. Energy contents, stove efficiencies, and most emission factors are fixed model assumptions, while fuel prices and the grid CO₂ factor can be overridden with local values on the input forms.

Parameter Value User-adjustable
Calorie model
Calories per person per day2,400 kcalNo
Month length used for targets30 daysNo
Household cooking efficiency (4-person)0.85Scales with size
Cooking wastage factor (4-person)1.133Formula, floor 1.05
Fuel energy content
LPG calorific value12.8 kWh/kgNo
PNG calorific value10.2 kWh/SCMNo
Biomass energy content4.5 kWh/kgNo
Biogas energy value5.5 kWh/m³No
Stove efficiency
LPG0.60No
PNG0.70No
Grid electricity0.90No
Biogas and traditional solid biomass0.55No
CO₂ emission factors (kg CO₂ per kWh input)
LPG0.24No
PNG0.21No
Grid electricity0.65Yes
Biogas0.30No
Traditional solid biomass0.40No
Prices (local defaults)
LPG cylinder pricee.g. 922 Rs / 14.2 kgYes
PNG ratee.g. 48 Rs/SCMYes
Electricity Tariff (₹/kWh)e.g. 6.5 Rs/kWhYes
Biomass coste.g. 5 Rs/kgYes
Health & Indoor Air

How indoor air-quality risk is estimated

Indoor PM2.5 exposure is estimated from the fuel, the kitchen ventilation setup, and daily cooking hours, then benchmarked against WHO air-quality guidance. Cleaner fuels and better ventilation lower the modelled exposure, and the presence of sensitive members raises the risk score above the base level.

The exposure estimate

PM2.5_peak = fuel_PM25_factor × kitchen_factor × cooking_hours_factor × scale
cooking_hours_factor = min(cooking_hours ÷ 3, 1.5)
Kitchen ventilation scenario Exposure factor
Open Kitchen0.04
Chimney0.25
Exhaust Fan0.60
No Exhaust0.80
Reading the factor: A lower kitchen factor means better ventilation and lower modelled exposure. Longer cooking hours raise exposure up to a capped multiplier, and sensitive household members add to the final risk score so vulnerable groups are flagged.
Recommendations

How fuel recommendations are ranked

The current setup and every alternative fuel are scored on four weighted criteria, and the highest-scoring options are recommended. The weights below are for the balanced preference; choosing a different budget or priority shifts the weights toward cost, environment, or health.

Criterion Weight (balanced)
Health0.40
Environmental0.25
Economic0.25
Practicality0.10

The score

recommendation_score = health × 0.40 + environmental × 0.25 + economic × 0.25 + practicality × 0.10. Every fuel option is scored on these four components, ranked by the combined score, and the top options are shown as recommendations.

Environmental Grade

How the environmental grade is assigned

The environmental grade is based on emissions per unit of use, not on total emissions, so larger households and busier kitchens are judged fairly against smaller ones.

Residential

The grade is based on annual CO₂ emissions per household member, so per-person emissions decide the grade rather than the household total.

Commercial

The grade is based on annual CO₂ emissions per serving, so a high-throughput kitchen is measured by its per-serving footprint.