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Food's Carbon Footprint - Are you as green as you eat? Your diet has a big impact on carbon footprint. #food #cutCarbon - https://www.

Foods Carbon Footprint
Are you as green as you eat? Your diet has a big impact on carbon footprint. #food #cutCarbon

ThirstyFLOPS: Water Footprint Modeling and Analysis Toward Sustainable HPC Systems
Yankai Jiang, Raghavendra Kanakagiri, Rohan Basu Roy, Devesh Tiwari
https://arxiv.org/abs/2510.00471

ThirstyFLOPS: Water Footprint Modeling and Analysis Toward Sustainable HPC Systems
High-performance computing (HPC) systems are becoming increasingly water-intensive due to their reliance on water-based cooling and the energy used in power generation. However, the water footprint of HPC remains relatively underexplored-especially in contrast to the growing focus on carbon emissions. In this paper, we present ThirstyFLOPS - a comprehensive water footprint analysis framework for HPC systems. Our approach incorporates region-specific metrics, including Water Usage Effectiveness,…

Global construction carbon footprint set to double by 2050 #environment

Global construction carbon footprint set to double by 2050
As the world marks UN World Cities Day on 31 October—a call to make cities more sustainable—a new international study published in Communications Earth & Environment warns that the global construction sector's carbon footprint is on track to double by 2050, threatening to derail efforts to meet the Paris Agreement climate targets.

Small is Sufficient: Reducing the World AI Energy Consumption Through Model Selection
Tiago da Silva Barros, Fr\'ed\'eric Giroire, Ramon Aparicio-Pardo, Joanna Moulierac
https://arxiv.org/abs/2510.01889

Small is Sufficient: Reducing the World AI Energy Consumption Through Model Selection
The energy consumption and carbon footprint of Artificial Intelligence (AI) have become critical concerns due to rising costs and environmental impacts. In response, a new trend in green AI is emerging, shifting from the "bigger is better" paradigm, which prioritizes large models, to "small is sufficient", emphasizing energy sobriety through smaller, more efficient models. We explore how the AI community can adopt energy sobriety today by focusing on model selection during inference. Model se…

Food's Carbon Footprint - Are you as green as you eat? Your diet has a big impact on carbon footprint. #food #cutCarbon - https://

Foods Carbon Footprint
Are you as green as you eat? Your diet has a big impact on carbon footprint. #food #cutCarbon

🦾 BMW’s next EV is its most sustainable car yet—here’s why
https://arstechnica.com/cars/2025/08/how-bmw-slashed-the-carbon-footprint-of-its-next-ev-the-2026-ix3/

BMW’s next EV is its most sustainable car yet—here’s why
The break-even point with an ICE vehicle is as little as one year.

Analysis of the carbon footprint of HPC
Abdessalam Benhari (DATAMOVE), Yves Denneulin (DATAMOVE), Fr\'ed\'eric Desprez (DATAMOVE), Fanny Dufoss\'e (DATAMOVE), Denis Trystram (DATAMOVE)
https://arxiv.org/abs/2509.22679

Analysis of the carbon footprint of HPC
The demand in computing power has never stopped growing over the years. Today, the performance of the most powerful systems exceeds the exascale. Unfortunately, this growth also comes with ever-increasing energy costs, leading to a high carbon footprint. This paper investigates the evolution of high performance systems in terms of carbon emissions. A lot of studies focus on Top500 (and Green500) as the tip of an iceberg to identify trends in the domain in terms of computing performance. We prop…

Food's Carbon Footprint - Are you as green as you eat? Your diet has a big impact on carbon footprint. #food #cutCarbon - https://www.

Foods Carbon Footprint
Are you as green as you eat? Your diet has a big impact on carbon footprint. #food #cutCarbon

The Carbon Footprint Wizard: A Knowledge-Augmented AI Interface for Streamlining Food Carbon Footprint Analysis
Mustafa Kaan Aslan, Reinout Heijungs, Filip Ilievski
https://arxiv.org/abs/2509.07733

The Carbon Footprint Wizard: A Knowledge-Augmented AI Interface for Streamlining Food Carbon Footprint Analysis
Environmental sustainability, particularly in relation to climate change, is a key concern for consumers, producers, and policymakers. The carbon footprint, based on greenhouse gas emissions, is a standard metric for quantifying the contribution to climate change of activities and is often assessed using life cycle assessment (LCA). However, conducting LCA is complex due to opaque and global supply chains, as well as fragmented data. This paper presents a methodology that combines advances in L…

A new finding demonstrates the brutal carbon math of AI video: a 6-second clip can burn 4x the energy of a 3-second one. I’ve updated the What Uses More digital footprint calculator to show why “just a bit longer” gets disproportionately expensive.
https://www.

My NorthWest Bylines article, 'Renewables, carbon and the energy crisis', republished by Resilience.
https://www.resilience.org/stories/2025-09-10/renewables-carbon-and-the-energy-crisis/

Renewables, carbon and the energy crisis
The road towards a viable net-zero world is long and full of obstacles, but all economies need to reduce their carbon footprint.

Food's Carbon Footprint - Are you as green as you eat? Your diet has a big impact on carbon footprint. #food #cutCarbon - https://www.

Foods Carbon Footprint
Are you as green as you eat? Your diet has a big impact on carbon footprint. #food #cutCarbon

Scaling rules for multiphase flow in vertical Venturis
Meng-Ke Zhan, Cheng-Gang Xie, Jian-Jun Shu
https://arxiv.org/abs/2509.23786 https://arxiv.org/pdf/25…

Scaling rules for multiphase flow in vertical Venturis
Employing a suitable scaling rule in gas-liquid flow can produce dynamically comparable results, which helps in the development of flow models applicable to a wide range of flow conditions and reduces the carbon footprint; however, matching all dimensionless numbers in gas-liquid flow is a challenge. This study uses a computational fluid dynamics approach to identify key dimensionless numbers that can produce dimensionally equivalent results under a variety of flow conditions in the vertical Ve…

Food's Carbon Footprint - Are you as green as you eat? Your diet has a big impact on carbon footprint. #food #cutCarbon - https://www.

Foods Carbon Footprint
Are you as green as you eat? Your diet has a big impact on carbon footprint. #food #cutCarbon

📦 Cardboard and earth combine to create low-carbon alternative to concrete
https://techxplore.com/news/2025-09-cardboard-earth-combine-carbon-alternative.html

Cardboard and earth combine to create low-carbon alternative to concrete
Engineers in Australia have developed a new building material with about one quarter of concrete's carbon footprint, while reducing waste going to landfill. The research is published in the journal Structures.

Measuring the Carbon Footprint of Cryptographic Privacy-Enhancing Technologies
Marc Damie, Mihai Pop, Merijn Posthuma
https://arxiv.org/abs/2508.04583 https://

Measuring the Carbon Footprint of Cryptographic Privacy-Enhancing Technologies
Privacy-enhancing technologies (PETs) have attracted significant attention in response to privacy regulations, driving the development of applications that prioritize user data protection. At the same time, the information and communication technology (ICT) sector faces growing pressure to reduce its environmental footprint, particularly its carbon emissions. While numerous studies have assessed the energy footprint of various ICT applications, the environmental footprint of cryptographic PETs …

Energy-Aware Data Center Management: A Sustainable Approach to Reducing Carbon Footprint
Rabab Khan Rongon, Krishna Das
https://arxiv.org/abs/2509.10462 https://

Energy-Aware Data Center Management: A Sustainable Approach to Reducing Carbon Footprint
The rapid expansion of cloud computing and data center infrastructure has led to significant energy consumption, posing environmental challenges due to the growing carbon footprint. This research explores energy-aware management strategies aimed at creating sustainable data center operations. By integrating advanced energy-efficient technologies and optimizing resource utilization, this study proposes a framework to minimize power usage while maintaining high performance. Key elements include d…

Consumer-based Carbon Costs: Integrating Consumer Carbon Preferences in Electricity Markets
Wenqian Jiang, Aditya Rangarajan, Line Roald
https://arxiv.org/abs/2508.01076 https:/…

Consumer-based Carbon Costs: Integrating Consumer Carbon Preferences in Electricity Markets
An increasing share of consumers care about the carbon footprint of their electricity. This paper proposes to integrate consumer carbon preferences in the electricity market-clearing through consumer-based carbon costs. Specifically, consumers can submit not only bids for power but also assign a cost to the carbon emissions incurred by their electricity use. We start from a centralized market clearing that maximizes social welfare under consideration of generation costs, consumer utility and co…

Green Recommender Systems: Understanding and Minimizing the Carbon Footprint of AI-Powered Personalization
Lukas Wegmeth, Tobias Vente, Alan Said, Joeran Beel
https://arxiv.org/abs/2509.13001

Green Recommender Systems: Understanding and Minimizing the Carbon Footprint of AI-Powered Personalization
As global warming soars, the need to assess and reduce the environmental impact of recommender systems is becoming increasingly urgent. Despite this, the recommender systems community hardly understands, addresses, and evaluates the environmental impact of their work. In this study, we examine the environmental impact of recommender systems research by reproducing typical experimental pipelines. Based on our results, we provide guidelines for researchers and practitioners on how to minimize the…

A Survey on Task Scheduling in Carbon-Aware Container Orchestration
Jialin Yang, Zainab Saad, Jiajun Wu, Xiaoguang Niu, Henry Leung, Steve Drew
https://arxiv.org/abs/2508.05949 …

A Survey on Task Scheduling in Carbon-Aware Container Orchestration
The soaring energy demands of large-scale software ecosystems and cloud data centers, accelerated by the intensive training and deployment of large language models, have driven energy consumption and carbon footprint to unprecedented levels. In response, both industry and academia are increasing efforts to reduce the carbon emissions associated with cloud computing through more efficient task scheduling and infrastructure orchestration. In this work, we present a systematic review of various Ku…

Trump, in his address to the UN, claimed that the people who came up with the "carbon footprint" did so with evil intent.
Mens rea aside, there might actually be something to that?
It was a BP advertising campaign.

Food's Carbon Footprint - Are you as green as you eat? Your diet has a big impact on carbon footprint. #food #cutCarbon - https://www.

Foods Carbon Footprint
Are you as green as you eat? Your diet has a big impact on carbon footprint. #food #cutCarbon

Modeling the Carbon Footprint of HPC: The Top 500 and EasyC
Varsha Rao, Andrew A. Chien
https://arxiv.org/abs/2509.13583 https://arxiv.org/pdf/2509.13583…

Modeling the Carbon Footprint of HPC: The Top 500 and EasyC
Climate change is a critical concern for HPC systems, but GHG protocol carbon-emission accounting methodologies are difficult for a single system, and effectively infeasible for a collection of systems. As a result, there is no HPC-wide carbon reporting, and even the largest HPC sites do not do GHG protocol reporting. We assess the carbon footprint of HPC, focusing on the Top 500 systems. The key challenge lies in modeling the carbon footprint with limited data availability. With the disclo…

Innovative building material: cardboard-confined rammed earth. Strong, cheap, sustainable - revolutionizing construction with lower carbon footprint and waste. #climatechange #climatesolutions #climate

This surprising building material is strong, cheap, and sustainable
A team at RMIT University has created a cement-free construction material using only cardboard, soil, and water. Strong enough for low-rise buildings, it reduces emissions, costs, and waste compared to concrete. The lightweight, on-site process makes it ideal for remote areas, while its thermal properties naturally cool buildings. Researchers see it as a key step toward greener, more resilient architecture.

CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation
Kaiwen Zhao, Bharathan Balaji, Stephen Lee
https://arxiv.org/abs/2508.03489 https://

CF-RAG: A Dataset and Method for Carbon Footprint QA Using Retrieval-Augmented Generation
Product sustainability reports provide valuable insights into the environmental impacts of a product and are often distributed in PDF format. These reports often include a combination of tables and text, which complicates their analysis. The lack of standardization and the variability in reporting formats further exacerbate the difficulty of extracting and interpreting relevant information from large volumes of documents. In this paper, we tackle the challenge of answering questions related to …

Dirty Bits in Low-Earth Orbit: The Carbon Footprint of Launching Computers
Robin Ohs, Gregory F. Stock, Andreas Schmidt, Juan A. Fraire, Holger Hermanns
https://arxiv.org/abs/2508.06250

Dirty Bits in Low-Earth Orbit: The Carbon Footprint of Launching Computers
Low-Earth Orbit (LEO) satellites are increasingly proposed for communication and in-orbit computing, achieving low-latency global services. However, their sustainability remains largely unexamined. This paper investigates the carbon footprint of computing in space, focusing on lifecycle emissions from launch over orbital operation to re-entry. We present ESpaS, a lightweight tool for estimating carbon intensities across CPU usage, memory, and networking in orbital vs. terrestrial settings. Thre…

On Google's New Backup-and-Sync, and G-Drive: Reviews (2017) - An efficient and simple backup scheme that works for me, that does not carry a big price tag nor carbon footprint. - https://www.earth.org.uk/note-on-backup-energy-efficiency.html

On Googles New Backup-and-Sync, and G-Drive: Reviews (2017)
An efficient and simple backup scheme that works for me, that does not carry a big price tag nor carbon footprint.

Do the rich pay their fair share? Enumerating the price of flying (and abolishing) premium air travel
Megan Yeo, Sebastian Nosenzo, Daniel S. Palmer, Alexei K. Varah, Lucas Woodley, Ashley Nunes
https://arxiv.org/abs/2508.12507

Do the rich pay their fair share? Enumerating the price of flying (and abolishing) premium air travel
Premium air travel is often associated with a disproportionately large carbon emissions footprint. This association reflects the increased space and amenities typically found in premium cabins that existing discourse suggests makes their carriage more fuel, and consequently carbon, intensive. One increasingly popular solution is disincentivizing the use of premium cabins in favor of all-economy cabins. How effective might such a policy be. To what extent. And how may the revenue impact affect t…

Super-Insulating Our Living Room (2010) - Learn how we retrofitted interior wall insulation for winter warmth and summer cool, and trimmed our carbon footprint. #aerogel #frugal #cutCarbon -

Super-Insulating Our Living Room (2010)
Learn how we retrofitted interior wall insulation for winter warmth and summer cool, and trimmed our carbon footprint. #aerogel #frugal #cutCarbon

🎨 Mix insect, plant and cultivated proteins for healthier, greener, tastier food, say experts
https://phys.org/news/2025-09-insect-cultivated-proteins-healthier-greener.html

Mix insect, plant and cultivated proteins for healthier, greener, tastier food, say experts
Reducing industrial animal use can help to shrink our carbon footprint and boost health—but doing so means we need nutritious meat alternatives that are also tasty and affordable.

Multi-Metric Algorithmic Complexity: Beyond Asymptotic Analysis
Sergii Kavun
https://arxiv.org/abs/2508.13249 https://arxiv.org/pdf/2508.13249

Multi-Metric Algorithmic Complexity: Beyond Asymptotic Analysis
Traditional algorithm analysis treats all basic operations as equally costly, which hides significant differences in time, energy consumption, and cost between different types of computations on modern processors. We propose a weighted-operation complexity model that assigns realistic cost values to different instruction types across multiple dimensions: computational effort, energy usage, carbon footprint, and monetary cost. The model computes overall efficiency scores based on user-defined pr…

On the JProfiler Java Performance-tuning Tool: Review (2012) - Tuning my Java Web Server application with JProfiler to run it on smaller servers, save energy, and cut its carbon footprint... - https://www.earth.org.uk/note-on-JProfiler-tuning-app-for-small…

On the JProfiler Java Performance-tuning Tool: Review (2012)
Tuning my Java Web Server application with JProfiler to run it on smaller servers, save energy, and cut its carbon footprint...

Estimating CO$_2$ emissions of distributed applications and platforms with SimGrid/Batsim
Gabriella Saraiva (EACH), Miguel Vasconcelos (UT, IRIT-SEPIA, IRIT, Toulouse INP, UT3, CNRS), Sarita Mazzini Bruschi (ICMC-USP), Danilo Carastan-Santos (DATAMOVE, UGA UFR IM2AG, CNRS, LIG), Daniel Cordeiro (EACH)
https://arxiv.org/abs/2508.13693

Estimating CO$_2$ emissions of distributed applications and platforms with SimGrid/Batsim
This work presents a carbon footprint plugin designed to extend the capabilities of the Batsim simulator by allowing the calculation of CO$_2$ emissions during simulation runs. The goal is to comprehensively assess the environmental impact associated with task and resource management strategies in data centers. The plugin is developed within SimGrid -- the underlying simulation framework of Batsim -- and computes carbon emissions based on the simulated platform's energy consumption and carbon i…

Toward Green Code: Prompting Small Language Models for Energy-Efficient Code Generation
Humza Ashraf, Syed Muhammad Danish, Zeeshan Sattar
https://arxiv.org/abs/2509.09947 https…

Toward Green Code: Prompting Small Language Models for Energy-Efficient Code Generation
There is a growing concern about the environmental impact of large language models (LLMs) in software development, particularly due to their high energy use and carbon footprint. Small Language Models (SLMs) offer a more sustainable alternative, requiring fewer computational resources while remaining effective for fundamental programming tasks. In this study, we investigate whether prompt engineering can improve the energy efficiency of SLMs in code generation. We evaluate four open-source SLMs…

Super-Insulating Our Living Room (2010) - Learn how we retrofitted interior wall insulation for winter warmth and summer cool, and trimmed our carbon footprint. #aerogel #frugal #cutCarbon -

Super-Insulating Our Living Room (2010)
Learn how we retrofitted interior wall insulation for winter warmth and summer cool, and trimmed our carbon footprint. #aerogel #frugal #cutCarbon

Learn how climate-smart biofuel policies can help reduce agriculture's carbon footprint. #climatechange #climatesolutions #climate

Towards Carbon-Aware Container Orchestration: Predicting Workload Energy Consumption with Federated Learning
Zainab Saad, Jialin Yang, Henry Leung, Steve Drew
https://arxiv.org/abs/2510.03970

Towards Carbon-Aware Container Orchestration: Predicting Workload Energy Consumption with Federated Learning
The growing reliance on large-scale data centers to run resource-intensive workloads has significantly increased the global carbon footprint, underscoring the need for sustainable computing solutions. While container orchestration platforms like Kubernetes help optimize workload scheduling to reduce carbon emissions, existing methods often depend on centralized machine learning models that raise privacy concerns and struggle to generalize across diverse environments. In this paper, we propose a…

Super-Insulating Our Living Room (2010) - Learn how we retrofitted interior wall insulation for winter warmth and summer cool, and trimmed our carbon footprint. #aerogel #frugal #cutCarbon -

Super-Insulating Our Living Room (2010)
Learn how we retrofitted interior wall insulation for winter warmth and summer cool, and trimmed our carbon footprint. #aerogel #frugal #cutCarbon

Can utilities replace power lines with solar and batteries in remote areas? The rise of microgrids offers a promising solution for communities looking to reduce costs and carbon footprint. #climatechange #climatesolutions

Can utilities replace power lines with solar and batteries in remote areas?
Expanding the grid to reach far-flung customers can be a costly fire hazard. So utilities like PG&E are testing out microgrids using solar, batteries, and…

Super-Insulating Our Living Room (2010) - Learn how we retrofitted interior wall insulation for winter warmth and summer cool, and trimmed our carbon footprint. #aerogel #frugal #cutCarbon -

Super-Insulating Our Living Room (2010)
Learn how we retrofitted interior wall insulation for winter warmth and summer cool, and trimmed our carbon footprint. #aerogel #frugal #cutCarbon

Super-Insulating Our Living Room (2010) - Learn how we retrofitted interior wall insulation for winter warmth and summer cool, and trimmed our carbon footprint. #aerogel #frugal #cutCarbon -

Super-Insulating Our Living Room (2010)
Learn how we retrofitted interior wall insulation for winter warmth and summer cool, and trimmed our carbon footprint. #aerogel #frugal #cutCarbon

Replaced article(s) found for cs.DC. https://arxiv.org/list/cs.DC/new
[1/1]:
- Ichnos: A Carbon Footprint Estimator for Scientific Workflows
Kathleen West, Magnus Reid, Yehia Elkhatib, Lauritz Thamsen

Energy Efficiency in Cloud-Based Big Data Processing for Earth Observation: Gap Analysis and Future Directions
Adhitya Bhawiyuga, Serkan Girgin, Rolf A. de By, Raul Zurita-Milla
https://arxiv.org/abs/2510.02882

Energy Efficiency in Cloud-Based Big Data Processing for Earth Observation: Gap Analysis and Future Directions
Earth observation (EO) data volumes are rapidly increasing. While cloud computing are now used for processing large EO datasets, the energy efficiency aspects of such a processing have received much less attention. This issue is notable given the increasing awareness of energy costs and carbon footprint in big data processing, particularly with increased attention on compute-intensive foundation models. In this paper we identify gaps in energy efficiency practices within cloud-based EO big data…