JAN

FACT SHEETPolymeshElectricity Consumptionand Carbon Footprint

FACT SHEETPolymesh: Electricity Consumption and Carbon Footprint(all metrics as of November 28, 2022)
PoThe analyses underlying this factsheet are commissioned by Polymesh Association.

KEY NETWORK METRICSNameSymbol
Consensus mechanism
Network typePolymesh
POLYX
Proof of Stake
Layer 1

Validator count39

24h-analysis-period transaction count110

Annualized transaction count40,150KEY ELECTRICITY METRICS
Average electrical power per node [W]12.621

Electrical power of network [W]492.18Annualized electricity consumption [kWh]4,312.01

Marginal electricity consumption per tx [Ws]N/A2

KEY CARBON METRICS
Annualized CO2 emissions [t]1.98

Marginal CO2 emissions per tx [kg]N/A2

Applied CO2 emission intensity [g/kWh]459 (world CO2 emission intensity)3

Value for a representative node assuming the node distribution among hardware configurations as shown in the Appendix.
The number of transactions that were executed during our measurement period falls below the threshold required to build a mathematicalregression model.
3IEA (2022). World Energy Outlook 2022. https://iea.blob.core.windows.net/assets/830fe099-5530-48f2-a7c111f35d510983/WorldEnergyOutlook2022.pdf
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Appendix
The analyses underlying this factsheet follow the same approach and methodology as outlined in CCRI’smethods whitepaper for assessing the electricity consumption and carbon footprint of PoS networks.4
There are five main steps:
First, we analyze the network and its minimum hardware requirements and select thehardware that we use to measure a single node’s electricity consumption.

Second, we run a full node on all selected hardware devices and measure their electricity
consumption and calculate a best guess estimate based on representative hardware
distribution.

Third, we estimate the electricity consumption of the complete network by scaling theelectricity consumption up with the total node count.

Fourth, we examine the number of transactions handled during the measurement period andderive the marginal electricity consumption per transaction.

Fifth, we use the world average carbon intensity to translate the network’s electricity
consumption into a carbon footprint.

HARDWARE-SPECIFIC MEASUREMENT RESULTS
Hardware12

4

5

BroadcomIntel i3-Intel i5-Intel i5-Intel i5-

BCM2711

8109U

8400T

1135G7

10400

8 GB

8 GB

8 GB

16 GB

64 GB

256 GB

128 GB SD

512 GB SSD

256 GB SSD

2 TB SSD

2 TB SSD

2 TB SSD

yes

yes

yes

yes

yes

yes

3.039

2.696

2.947

3.656

25.03978.174

3.373

4.026

5.207

7.693

28.802

107.374

3.125 %

15.625 %31.25 %

31.25 %

15.625 %3.125 %

configuration
CPURamStorage
Configurations
selected36
AMD 3970X

Meanelectrical
power in idle[W]
Meanelectrical
power of node
[W]
Assumed node
distributionMeasurement
periodSoftware
version2022-11-28 15:11 CET to 2022-11-29 15:11 CET
v5.1.0 (PC1: v5.1.0-ARM)

CCRI (2022). Determining the electricity consumption and carbon footprint of Proof-of-Stake networks. https://carbonratings.com/dl/whitepaper-pos-methods-20224

About CCRI

CCRI – Crypto Carbon Ratings Institute – is a research-driven
company

providing

cryptocurrencies,

data

blockchainon
andsustainability
otheraspectsoftechnologies.

The

interdisciplinary team has built a multi-year research track record
with a specific focus on cryptocurrencies and their sustainabilityimpacts. CCRI uses the most up-to-date data sources as well as
methods based on formerly peer-reviewed studies published inrenowned scientific journals. CCRI provides insights that help theirclients to understand and manage crypto-related ESG exposure. They
serve a broad range of clients including institutional investors,exchanges and blockchain networks.

© Crypto Carbon Ratings Institute, 2023
Crypto Carbon Ratings Institute (CCRI) is a brand of CCRI GmbH based in Dingolfing, Germany.

CCRI 2022

https://carbon-ratings.com

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