Senseible

A chemical unit buys block ice to cool its reactors: which scope is that ice in, and how do I estimate its carbon dioxide (CO2) when the ice plant gives no figures?

On our reading of the Scope 3 standard, bought ice is a purchased good, category 1, because you burn no fuel and draw no power to make it. With no data from the ice plant, Bhimavaram's cluster averages of 102 kilowatt hours (kWh) and 2 litres of diesel a tonne give about 74 kg of CO2 a tonne (estimate).

Where bought ice sits

How common it is in the cluster profiles

An estimate when the ice plant gives nothing

What to keep

  1. Tonnes of ice bought each month, from delivery slips: blocks times block weight.
  2. The supplier's name and, if they will give it, their kWh and tonnes for a month.
  3. A line that says the figure is an estimate, with its basis.
  4. Do not net it against your own Scope 2.

Example: 1,500 kg of ice a day

The Andhra Pradesh averages are for ammonia block ice plants in one cluster; your supplier may differ. Our arithmetic, an estimate.

What Senseible does here

Senseible reads fuel invoices and electricity bills into monthly records. Ice bought by the tonne is not a fuel or power bill, so the estimate stays your own labelled note beside them.

Sources: GHG Protocol, Corporate Value Chain (Scope 3) Accounting and Reporting Standard, categories 1 and 4, Bureau of Energy Efficiency (BEE) Small and Medium Enterprises (SME) programme, Manual on energy conservation measures in ice making cluster, Bhimavaram (SAMEEEKSHA), The Energy and Resources Institute (TERI), Cluster profile report: Ahmedabad chemical cluster (SAMEEEKSHA), TERI, Cluster profile report: Thane chemical cluster (SAMEEEKSHA), Central Electricity Authority (CEA), CO2 Baseline Database for the Indian Power Sector (grid factor 0.675 kg CO2 per kWh, financial year (FY) 2025-26)

Last reviewed 2026-11-05. The category choice is our reading of the Scope 3 standard; confirm it with your buyer's or auditor's method. The ice plant figures are one cluster's averages, so replace them with your supplier's data when you can.