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feat(envfp): update docs with latest remarks
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environmental-footprint/environmental-footprint/additional-content/environmental-footprint-calculator.mdx

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@@ -17,7 +17,9 @@ This page details the methodology used to calculate the environmental footprint
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## Methodology Overview
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Our Methodology is based on the [ADEME (French Government Agency for Ecological Transition) Product Category Rules (PCR)](https://librairie.ademe.fr/produire-autrement/6105-methodological-standard-for-the-environmental-assessment-of-datacenter-it-hosting-services-and-cloud-services.html) for Datacenter and Cloud services, which provide a standardized framework for calculating and reporting the environmental impact of datacenters and cloud services. These rules are designed to ensure consistency, transparency, and comparability in the assessment of environmental footprints across the industry.
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Our calculation methodology was developed in collaboration with the green IT specialist consultancy firm [IJO](https://ijo.tech/index.html), ensuring a rigorous and expert-validated approach to assessing environmental impact accurately and transparently.
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Our Methodology is based on the [ADEME (French Government Agency for Ecological Transition) Product Category Rules (PCR) for Datacenter and Cloud services](https://librairie.ademe.fr/produire-autrement/6105-methodological-standard-for-the-environmental-assessment-of-datacenter-it-hosting-services-and-cloud-services.html) , which provide a standardized framework for calculating and reporting the environmental impact of datacenters and cloud services. These rules are designed to ensure consistency, transparency, and comparability in the assessment of environmental footprints across the industry.
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The ADEME PCR specifies the methodology for conducting [Life Cycle Analysis (LCA)](/environmental-footprint/environmental-footprint/concepts/#life-cycle-analysis-lca) for datacenter operations, which includes the evaluation of energy consumption, greenhouse gas emissions, resource usage, and other environmental impacts associated with the lifecycle of datacenter infrastructures and cloud services. This lifecycle covers all stages from raw material extraction, manufacturing, and transportation, to the use and end-of-life disposal of datacenter equipment.
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The stages of the lifecycle that are really significant in the total impact of a server are its manufacturing and its use. We will therefore focus on these two stages in the rest of this documentation.
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The usage phase also includes every datacenter [Power Usage Effectiveness (PUE)](/environmental-footprint/environmental-footprint/concepts/#pue-power-usage-effectiveness), which is multiplied by the impact related to electricity consumption of network servers, customer-used servers, and servers used for transversal IT tools. This approach ensures that both the direct and indirect energy consumption associated with datacenter operations is accurately represented.
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Our calculations of the impact of electricity consumption are based on a 'location-based' approach, although we have PPA (Power Purchase Agreements) type contracts for each of our data centers, we have chosen not to take them into account in accordance with ADEME guidelines.
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Furthermore, the calculation will integrate the environmental impact of all elements necessary for the proper functioning of the enterprise. This includes the office premises, employee transportation, and other logistical aspects. 
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<Lightbox src="scaleway-env-footprint-co2eq-formula.webp" alt="" />
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### Datacenter and technical environment
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To calculate the impact of the datacenter and the technical environment, it is necessary to have either a preliminary study carried out by the hardware suppliers and datacenter administrators or a quote including all the components. Without such a study, we have chosen to use [ADEME](https://data.ademe.fr/) data to evaluate the impact of the construction of the datacenter and technical environment (air conditioning and power supply system).
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To calculate the impact of the datacenter and the technical environment, it is necessary to have either a preliminary study carried out by the hardware suppliers and datacenter administrators or a quote including all the components. Without such a study, we have chosen to use [ADEME data](https://data.ademe.fr/) to evaluate the impact of the construction of the datacenter and technical environment (air conditioning and power supply system).
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To allocate the environmental impact of the manufacturing of the datacenter and the technical environment we multiply the proportion of the datacenter lifespan that corresponds to the device's usage time by the specific equipment's power usage relative to the total power reserved by customers in the datacenter by the datacenter emission factor. 
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### Network
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To calculate the environmental impact of your large-scale use of the products, we include part of the impact of manufacturing the network machines that are necessary for the operation of our products. To do this, we divide the impact of manufacturing network equipment over its entire lifespan and attribute this impact based on the energy consumption of the equipment used in order to assign a proportional share of the environmental impact to each piece of equipment. Finally, we estimate the impact of manufacturing the equipment using the [boavizta](https://boavizta.org/) database.
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For the use of network machines induced by your use of Scaleway products, we take into account the energy consumption of the network machines and multiply it by the emission factor linked to the production of this energy that we recover thanks to the [EMBER database](https://ember-climate.org/). We then attribute this share of impact to each machine according to its energy consumption.
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<Lightbox src="scaleway-allocation-rules-network.webp" alt="" />
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To calculate the environmental impact of your large-scale use of the products, we include part of the impact of manufacturing the network machines that are necessary for the operation of our products. To do this, we divide the impact of manufacturing network equipment over its entire lifespan and attribute this impact based on the energy consumption of the equipment used in order to assign a proportional share of the environmental impact to each piece of equipment. Finally, we estimate the impact of manufacturing the equipment using the [boavizta database](https://boavizta.org/).
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For the use of network machines induced by your use of Scaleway products, we take into account the energy consumption of the network machines and multiply it by the emission factor linked to the production of this energy that we recover thanks to the [EMBER database](https://ember-climate.org/). We then attribute this share of impact to each machine according to its energy consumption.
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### Customer servers
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#### Bare Metal
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<Lightbox src="scaleway-allocation-rules-customer-it-equip.webp" alt="" />
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For bare metal servers, the allocation of environmental impact is straightforward due to the direct association between a user and a server. The environmental impact of a bare metal server is entirely attributed to the user utilizing it. This encompasses the energy consumption during its operation, as well as a portion of the impact from the server's manufacturing process.
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The manufacturing impact is prorated based on the server's lifespan and the duration of its use by the customer. By dividing the total manufacturing impact by the expected lifetime of the server and then allocating it according to the specific usage period, we ensure that each user is accountable for their fair share of the server's overall environmental footprint.
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<Lightbox src="scaleway-allocation-rules-customer-it-equip.webp" alt="" />
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#### Calculation example
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For the use of an Elastic Metal server, with a lifespan of 6 years (52 560 hours) and power of 110w, for 100 hours and considering via Boavizta estimates that the impact of the manufacturing of this server is 850 kgCo2e, we make the following calculation:
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### Cross-IT Equipment & stock
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<Lightbox src="scaleway-allocation-rules-cross-funct-it-equip.webp" alt="" />
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Our calculation will also incorporate the environmental footprint of all transversal tools essential for the functioning of the Scaleway.
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To determine their manufacturing impact, we add the environmental footprint of each machine hosting these transversal tools over the duration of customer usage. This aggregated impact will then be divided by the total number of customers. A "customer" is defined as an active organization, that is to say an organization which consumes and which is billed.
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To determine stock manufacturing impact, we will divide the sum of the impact of all hardware components in stock by the total number of servers. 
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<Lightbox src="scaleway-allocation-rules-cross-funct-it-equip.webp" alt="" />
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### Non-IT cross-functional elements
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<Lightbox src="scaleway-allocation-rules-non-it-cross-funct.webp" alt="" />
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Finally, our comprehensive environmental impact calculation will include the "Non-IT cross-functional elements." This category encompasses the environmental footprint of all other essential components required for Scaleway's operations, such as office facilities, employee transportation, the company cafeteria, and various logistical aspects.
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To integrate this into the overall calculation, we will first get the total environmental impact of these non-IT elements from Scaleway Impact report. This total impact will then be divided by the number of customers. This approach ensures that every customer shares a portion of the environmental burden associated with maintaining the broader operational infrastructure, thereby providing a complete and transparent picture of Scaleway's environmental footprint.
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<Lightbox src="scaleway-allocation-rules-non-it-cross-funct.webp" alt="" />
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### Water consumption
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Providing water consumption metrics is essential in the context of cloud services hosted in data centers because water plays a key role in cooling systems, which ensure the optimal operating temperatures for servers. The amount of water consumed depends on factors such as the temperature, humidity, and the design of the cooling system. For instance, in hot and dry climates, water consumption tends to be higher. At Scaleway we choose our data centers also taking this criterion into account to reduce water consumption as much as possible.

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