Eco-conception

Nature Communications - The average Internet user spends over 40% of their waking hours online, yet the environmental footprint remains poorly understood. This study suggests that digital content...

France Stratégie, le Commissariat général à la stratégie et à la prospective, est un organisme de réflexion, d’expertise et de concertation placé auprès du Premier ministre. 4 missions orchestrent son action : Évaluer, Anticiper, Débattre, Proposer

On the way to climate neutrality manufacturing companies need to assess the Carbon dioxide (CO2) emissions of their products as a basis for emission r…

Un certain nombre de membres du Cigref envisagent de lancer un appel d'offres pour des solutions de cloud de confiance. C'est pourquoi les membres du

archived 8 Jul 2024 12:38:28 UTC

It is commonly assumed that data volume and network energy consumption are directly proportional, a notion perpetuated by numerous studies and media coverage. This paper challenges this assumption, o...

Ad Net Zero (ANZ) et le GARM (Global Alliance for Responsible Media) ont publié la première version du Global Media Sustainability Framework - une série de normes visant à améliorer la mesure cohérente et comparable des émissions de gaz à effet de serre des campagnes Numériques, Télé, Print, Radio/Audio, Affichage et Cinéma.

An integrated environment to create dynamical parametrized LCA models, boosting productivity of LCA experts by leveraging an as code approach.

Contribute to labDomolandes/ecofloc development by creating an account on GitHub.

Vivisecting Buttondown, beehiiv, ecosend, and others.

Tangible carbon emissions reductions for Wagtail websites, thanks to our Google Summer of Code 2023 projects

Avec l’évolution globale des émissions de gaz à effet de serre et l’explosion du numérique, il devient essentiel de restreindre l’impact des services numériques Préambule Qu’est-ce que l’écoconception ? L’écoconception est une démarche qui vise à réduire les impacts environnementaux des produits tou

Intro BETA,This is currently a prototype. Please share any feedback and ideas you have to improve it with @chudders. A digital sustainability checklist to help you reduce the environmental impacts of your digital products and services Why is this important? (from the W3C) The digital industry is...

The specification for an Automated Source Code Resource Sustainability Measure (ASCRSM) will be developed from existing weaknesses (CWEs) in the Automated Source Code Performance Efficiency Measure (ASCPEM).

This paper presents a methodology for allocating energy consumption to multiple users of shared data center machines, infrastructure, and software. Google uses this methodology to provide carbon reporting data for enterprise customers of multiple Google products, including Google Cloud and Workspace. The approach documented here advances the state-of-the-art of large scale Cloud carbon reporting systems. It uses detailed, granular measurement data on machine energy consumption. In addition, it uses physical factors for allocating energy consumption and carbon emissions--preferred by the Greenhouse Gas Protocol's Scope 3 Reporting Standard. Specifically, the approach described here allocates machine energy consumption based on a combination of data center resource reservations and hourly measured resource usage. It also accounts for Google's own internal use of shared software services, reallocating energy use to the users of those shared services. Finally, it uses hourly, location-specific estimates of carbon intensity to precisely measure carbon emissions of users in a global fleet of data centers.

Common EU GPP criteria are those criteria that can be incorporated into a public procurement procedure for goods, services or works in order to reduce the environmental impact of a purchase.

Chez Conserto, nous avons développé GreenTrackr, un outil de mesure d'impact carbone pour les sites web au plus proche de la réalité.

This project defines a json ontology standard describing a power consumption measure in a given software/hardware context, noticeably in machine learning tasks. It also provides the tooling for con...