CARBONIDEASASIN IDEA LAB · SX2026

ONE DAY TO NOTICE. ONE SMALL CHANGE TO TRY.

My 24-Hour Carbon Story

Recall your last 24 hours. Find your biggest source. Choose one action for the next week.

My 24 hours: from ____________________ to ____________________ No name needed

01 How I moved

Total kilometres, including return journeys. Leave unused modes at 0.

Travel mode	km	kgCO₂e*
Walk / cycle
Train / BTS / MRT
Bus / shared van
Motorbike · one rider
Taxi / Grab / car

People sharing my car journey: ______ (1–8, include yourself; exclude a hired driver)

Travel subtotal ________ kgCO₂e*

02 What I ate & drank

Choose a base and protein, or “Not eaten”. Enter 0.75, 1 or 1.5 servings. Guide on the back.

Meal	Base + protein	Servings	kgCO₂e
Breakfast
Lunch
Dinner

Coffee & milk drinks

Type: black coffee / dairy latte / soy latte / dairy milk

Cups (0–12): ______ × per-cup estimate = ______ kgCO₂e

Extra meals & snacks Optional

Use the options on the back. Count each item once.

Meal or snack	Servings	kgCO₂e

More extras? Continue on another sheet (up to 20 entries in the app).

Food & drinks subtotal ________ kgCO₂e

03 How I used energy

Total shower time and cooling in the same 24 hours.

Activity	Time	kgCO₂e
Normal / cold shower	_____ min
Hot shower	_____ min
Air-conditioner	_____ hours
Fan	_____ hours

People sharing the cooling: ______ (1–8)

AC and fan together? Count both. Only cooling is divided by the number of people sharing.

Energy subtotal ________ kgCO₂e

Small choices. Bigger ideas.

What surprised you? Compare with a neighbour.

04 My story & one-week action

Travel + food & drinks + energy

My 24-hour total: _________ kgCO₂e*

My biggest source: ______________________________

One change I’ll try

Choose one app suggestion (see back), or discuss your own idea without assigning an unsupported saving.

Days I’ll try it next week: ______ (1–7)

Saving per action day: _________ kgCO₂e

Estimated saving this week
Saving per action day × days = _________ kgCO₂e

If repeated for 52 weeks
Weekly saving × 52 = _________ kgCO₂e

Same baseline day, same change and factors repeated. These are scenarios, not measured reductions.

* Learning estimate for selected activities, not a complete daily footprint. Travel includes CO₂ proxies. Use the default guide on the back to match the app. Details: carbonidea.asia/help.html

CARBONIDEASASIN IDEA LAB · SX2026

THE SAME ASSUMPTIONS AS THE APP

A little guide to the maths

Default factors · keep unrounded values until the final answer, then show two decimal places.

01 Travel

Distance × factor. Divide car emissions by people sharing; rail and bus are already per passenger.

Mode	Factor (kg per km)	Calculation
Walk / cycle	0	Operational emissions only
Train / BTS / MRT	0.03	Your passenger-km × factor
Bus / shared van	0.07	Your passenger-km × factor
Motorbike	0.07	km × factor; one rider
Taxi / Grab / car	0.18	Vehicle-km × factor ÷ people

20 km by car ÷ 2 people: 20 × 0.18 ÷ 2 = 1.80 kg

Rail/bus: older Thai government CO₂ proxies, not current route-specific TGO factors. Car/motorbike: workshop assumptions. Excludes vehicles, infrastructure and extra food for walking/cycling.

03 Shower & cooling

Electricity (kWh) × 0.5562 kgCO₂e/kWh.

Activity	Power	Electricity (kWh)
Cold shower	0 heating	0 water-heating electricity
Hot shower	4.5 kW	Minutes ÷ 60 × power
Air-conditioner	0.8 kW average	Hours × power ÷ people
Fan	0.05 kW	Hours × power ÷ people

10-minute hot shower: 10 ÷ 60 × 4.5 × 0.5562 = 0.42 kgCO₂e

All cooling hours count, not just sleep. Each appliance can run up to 24 hours; both may run together. The same sharing count applies to all cooling; showers are personal.

TGO CFP grid mix 2022–2024 (2026 listing): 0.4750 generation + 0.0812 upstream = 0.5562, used once. Appliance powers are workshop assumptions. Water supply, pumping and wastewater are excluded.

02 Meals, drinks & snacks

1 serving = 75 g dry rice or dry rice noodles, or 200 g fresh rice noodles, plus 100 g vegetables and 100 g protein ingredient. All weights and serving sizes are workshop assumptions; fresh and dry weights are not interchangeable.

Base	g / serving	kgCO₂e/kg
dry rice	75	4.45
fresh wide rice noodles	200	0.65
fresh rice noodle sticks	200	0.709
dry rice noodles (rice proxy)	75	4.45

Protein ingredient	kgCO₂e/kg
Tofu & vegetables	3.16
Chicken-based	9.87
Pork-based	12.31
Beef-based	99.48
Egg-based	4.67

Meal = (base grams ÷ 1000 × base factor + 0.1 × 0.53 vegetables + 0.1 × protein factor) × servings. “Not eaten” = 0. Extra meals use the dry rice base.

Drink	Ingredients per cup	kgCO₂e / cup
Black coffee	15 g coffee	0.42795
Dairy latte	15 g coffee + 200 g milk	1.05795
Soy latte	15 g coffee + 200 g soy milk	0.62395
Dairy milk	250 g milk	0.7875

Multiply by cups. Use one closest drink type for all cups, as in the app.

Extra meals & snacks

Extra meal: dry rice meal × servings. Snack: one serving below × servings. Choose 0.5, 1, 1.5, 2, 3, 4 servings per entry.

Snack	One serving	kgCO₂e
banana	100 g	0.086
plain peanuts	30 g	0.0969
egg	50 g	0.2335
chicken portion	50 g	0.4935
pork portion	50 g	0.6155

Fresh noodle factors include the study’s cooking and disposal. Other meal components exclude cooking. Sauces, broth, extra oil and takeaway packaging are not added. These mixed boundaries do not support direct rice-versus-noodle rankings.

04 One change, estimated savings

Saving per action day = original day − changed day. Recalculate only one change; keep the other entries the same. The app offers options with a positive saving:

Car → train: replace all entered car km with equal passenger-km by rail.
One meal → tofu: replace the eligible main or extra meal with the largest saving, at the same portion size.
Shorter shower: reduce hot water by up to 2 entered minutes.
AC → fan: replace up to 1 entered AC hour, without exceeding 24 total fan hours.

Weekly = daily saving × 1–7 chosen days. Annual projection = weekly × 52. Neither is added to your one-day footprint. No tree offsets are deducted.

Sources & boundaries

Food factors (kgCO₂e/kg): rice 4.45; vegetables 0.53; tofu 3.16; chicken 9.87; pork 12.31; beef 99.48; egg 4.67; coffee 28.53; dairy milk 3.15; soy milk 0.98; banana 0.86; peanuts 3.23.

Food: Poore & Nemecek (2018), Science, 360, 987–992; global means processed by Our World in Data. Not Thailand-specific or TGO food factors.

Fresh wide noodles: 0.650; fresh noodle sticks: 0.709 kgCO₂e per kg fresh product. Ukaew & Bunsung (2018), one factory in Phitsanulok, Thailand, cradle-to-grave. These are not national averages or complete dish footprints.

Thai fresh-noodle study · 2018 ↗

Electricity: TGO, CFO_TGO_EF2026.pdf, Feb 2026, pp. 11–12, CFP total. Rail/bus: 2019 Thai environmental department illustration. Portions, car/motorbike and appliance power are workshop assumptions.

Source links and examples: carbonidea.asia/help.html. Custom app factors require a matching amendment to this default guide. Flights and unlisted activities are outside the exercise.

Use both sides. Reuse or recycle.