We still don’t know how much energy AI consumes

Curated on Posted on by Stefaan Verhulst

Article by Sasha Luccioni: “…The AI Energy Score project, a collaboration between Salesforce, Hugging Face, AI developer Cohere and Carnegie Mellon University, is an attempt to shed more light on the issue by developing a standardised approach. The code is open and available for anyone to access and contribute to. The goal is to encourage the AI community to test as many models as possible.

By examining 10 popular tasks (such as text generation or audio transcription) on open-source AI models, it is possible to isolate the amount of energy consumed by the computer hardware that runs them. These are assigned scores ranging between one and five stars based on their relative efficiency. Between the most and least efficient AI models in our sample, we found a 62,000-fold difference in the power required. 

Since the project was launched in February a new tool compares the energy use of chatbot queries with everyday activities like phone charging or driving as a way to help users understand the environmental impacts of the tech they use daily.

The tech sector is aware that AI emissions put its climate commitments in danger. Both Microsoft and Google no longer seem to be meeting their net zero targets. So far, however, no Big Tech company has agreed to use the methodology to test its own AI models.

It is possible that AI models will one day help in the fight against climate change. AI systems pioneered by companies like DeepMind are already designing next-generation solar panels and battery materials, optimising power grid distribution and reducing the carbon intensity of cement production.

Tech companies are moving towards cleaner energy sources too. Microsoft is investing in the Three Mile Island nuclear power plant and Alphabet is engaging with more experimental approaches such as small modular nuclear reactors. In 2024, the technology sector contributed to 92 per cent of new clean energy purchases in the US. 

But greater clarity is needed. OpenAI, Anthropic and other tech companies should start disclosing the energy consumption of their models. If they resist, then we need legislation that would make such disclosures mandatory.

As more users interact with AI systems, they should be given the tools to understand how much energy each request consumes. Knowing this might make them more careful about using AI for superfluous tasks like looking up a nation’s capital. Increased transparency would also be an incentive for companies developing AI-powered services to select smaller, more sustainable models that meet their specific needs, rather than defaulting to the largest, most energy-intensive options…(More)”.

Indiana Faces a Data Center Backlash

Curated on Posted on by Stefaan Verhulst

Article by Matthew Zeitlin: “Indiana has power. Indiana has transmission. Indiana has a business-friendly Republican government. Indiana is close to Chicago but — crucially — not in Illinois. All of this has led to a huge surge of data center development in the “Crossroads of America.” It has also led to an upswell of local opposition.

There are almost 30 active data center proposals in Indiana, plus five that have already been rejected in the past year, according to data collected by the environmentalist group Citizens Action Coalition. Google, Amazon, and Meta have all announced projects in the state since the beginning of 2024.

Nipsco, one of the state’s utilities, has projected 2,600 megawatts worth of new load by the middle of the next decade as its base scenario, mostly attributable to “large economic development projects.” In a more aggressive scenario, it sees 3,200 megawatts of new load — that’s three large nuclear reactors’ worth — by 2028 and 8,600 megawatts by 2035. While short of, say, the almost 36,500 megawatts worth of load growth planned in Georgia for the next decade, it’s still a vast range of outcomes that requires some kind of advanced planning.

That new electricity consumption will likely be powered by fossil fuels. Projected load growth in the state has extended a lifeline to Indiana’s coal-fired power plants, with retirement dates for some of the fleet being pushed out to late in the 2030s. It’s also created a market for new natural gas-fired plants that utilities say are necessary to power the expected new load.

State and local political leaders have greeted these new data center projects with enthusiasm, Ben Inskeep, the program director at CAC, told me. “Economic development is king here,” he said. “That is what all the politicians and regulators say their number one concern is: attracting economic development.”..(More)”.

Energy and AI

Curated on Posted on by Stefaan Verhulst

Report by the International Energy Agency (IEA): “The development and uptake of artificial intelligence (AI) has accelerated in recent years – elevating the question of what widespread deployment of the technology will mean for the energy sector. There is no AI without energy – specifically electricity for data centres. At the same time, AI could transform how the energy industry operates if it is adopted at scale. However, until now, policy makers and other stakeholders have often lacked the tools to analyse both sides of this issue due to a lack of comprehensive data. 

This report from the International Energy Agency (IEA) aims to fill this gap based on new global and regional modelling and datasets, as well as extensive consultation with governments and regulators, the tech sector, the energy industry and international experts. It includes projections for how much electricity AI could consume over the next decade, as well as which energy sources are set to help meet it. It also analyses what the uptake of AI could mean for energy security, emissions, innovation and affordability…(More)”.

The use of AI for improving energy security

Curated on Posted on by Stefaan Verhulst

Rand Report: “Electricity systems around the world are under pressure due to aging infrastructure, rising demand for electricity and the need to decarbonise energy supplies at pace. Artificial intelligence (AI) applications have potential to help address these pressures and increase overall energy security. For example, AI applications can reduce peak demand through demand response, improve the efficiency of wind farms and facilitate the integration of large numbers of electric vehicles into the power grid. However, the widespread deployment of AI applications could also come with heightened cybersecurity risks, the risk of unexplained or unexpected actions, or supplier dependency and vendor lock-in. The speed at which AI is developing means many of these opportunities and risks are not yet well understood.

The aim of this study was to provide insight into the state of AI applications for the power grid and the associated risks and opportunities. Researchers conducted a focused scan of the scientific literature to find examples of relevant AI applications in the United States, the European Union, China and the United Kingdom…(More)”.

The growing energy footprint of artificial intelligence

Curated on Posted on by Stefaan Verhulst

Paper by Alex de Vries: “Throughout 2022 and 2023, artificial intelligence (AI) has witnessed a period of rapid expansion and extensive, large-scale application. Prominent tech companies such as Alphabet and Microsoft significantly increased their support for AI in 2023, influenced by the successful launch of OpenAI’s ChatGPT, a conversational generative AI chatbot that reached 100 million users in an unprecedented 2 months. In response, Microsoft and Alphabet introduced their own chatbots, Bing Chat and Bard, respectively.

 This accelerated development raises concerns about the electricity consumption and potential environmental impact of AI and data centers. In recent years, data center electricity consumption has accounted for a relatively stable 1% of global electricity use, excluding cryptocurrency mining. Between 2010 and 2018, global data center electricity consumption may have increased by only 6%.

 There is increasing apprehension that the computational resources necessary to develop and maintain AI models and applications could cause a surge in data centers’ contribution to global electricity consumption.

This commentary explores initial research on AI electricity consumption and assesses the potential implications of widespread AI technology adoption on global data center electricity use. The piece discusses both pessimistic and optimistic scenarios and concludes with a cautionary note against embracing either extreme…(More)”.

Unleashing the power of data for electric vehicles and charging infrastructure

Curated on Posted on by Stefaan Verhulst

Report by Thomas Deloison: “As the world moves toward widespread electric vehicle (EV) adoption, a key challenge lies ahead: deploying charging infrastructure rapidly and effectively. Solving this challenge will be essential to decarbonize transport, which has a higher reliance on fossil fuels than any other sector and accounts for a fifth of global carbon emissions. However, the companies and governments investing in charging infrastructure face significant hurdles, including high initial capital costs and difficulties related to infrastructure planning, permitting, grid connections and grid capacity development.

Data has the power to facilitate these processes: increased predictability and optimized planning and infrastructure management go a long way in easing investments and accelerating deployment. Last year, members of the World Business Council for Sustainable Development (WBCSD) demonstrated that digital solutions based on data sharing could reduce carbon emissions from charging by 15% and unlock crucial grid capacity and capital efficiency gains.

Exceptional advances in data, analytics and connectivity are making digital solutions a potent tool to plan and manage transport, energy and infrastructure. Thanks to the deployment of sensors and the rise of connectivity,  businesses are collecting information faster than ever before, allowing for data flows between physical assets. Charging infrastructure operators, automotive companies, fleet operators, energy providers, building managers and governments collect insights on all aspects of electric vehicle charging infrastructure (EVCI), from planning and design to charging experiences at the station.

The real value of data lies in its aggregation. This will require breaking down siloes across industries and enabling digital collaboration. A digital action framework released by WBCSD, in collaboration with Arcadis, Fujitsu and other member companies and partners, introduces a set of recommendations for companies and governments to realize the full potential of digital solutions and accelerate EVCI deployments:

  • Map proprietary data, knowledge gaps and digital capacity across the value chain to identify possible synergies. The highest value potential from digital solutions will lie at the nexus of infrastructure, consumer behavior insights, grid capacity and transport policy. For example, to ensure the deployment of charging stations where they will be most needed and at the right capacity level, it is crucial to plan investments within energy grid capacity, spatial constraints and local projected demand for EVs.
  • Develop internal data collection and storage capacity with due consideration for existing structures for data sharing. A variety of schemes allow actors to engage in data sharing or monetization. Yet, their use is limited by mismatched use of data standards and specification and process uncertainty. Companies must build a strong understanding of these structures internally by providing internal training and guidance, and invest in sound data collection, storage and analysis capacity.
  • Foster a policy environment that supports digital collaboration across sectors and industries. Digital policies must provide incentives and due diligence frameworks to guide data exchanges across industries and support the adoption of common standards and protocols. For instance, it will be crucial to integrate linkages with energy systems and infrastructure beyond roads in the rollout of the European mobility data space…(More)”.

Citizen Participation and Knowledge Support in Urban Public Energy Transition—A Quadruple Helix Perspective

Curated on Posted on by Stefaan Verhulst

Paper by Peter Nijkamp et al: “Climate change, energy transition needs and the current energy crisis have prompted cities to implement far-reaching changes in public energy supply. The present paper seeks to map out the conditions for sustainable energy provision and use, with a particular view to the role of citizens in a quadruple helix context. Citizen participation is often seen as a sine qua non for a successful local or district energy policy in an urban area but needs due scientific and digital support based on evidence-based knowledge (using proper user-oriented techniques such as Q-analysis). The paper sets out to explore the citizen engagement and knowledge base for drastic energy transitions in the city based on the newly developed “diabolo” model, in which in particular digital tools (e.g., dashboards, digital twins) are proposed as useful tools for the interface between citizens and municipal policy. The approach adopted in this paper is empirically illustrated for local energy policy in the city of Rotterdam…(More)”.

Global Renewables Watch

Curated on Posted on by Stefaan Verhulst

About: “The Global Renewables Watch is a first-of-its-kind living atlas intended to map and measure all utility-scale solar and wind installations on Earth using artificial intelligence (AI) and satellite imagery, allowing users to evaluate clean energy transition progress and track trends over time. It also provides unique spatial data on land use trends to help achieve the dual aims of the environmental protection and increasing renewable energy capacity….(More)”

Energy Data Sharing: The Case of EV Smart Charging

Curated on Posted on by Stefaan Verhulst

Paper by Sean Ennis and Giuseppe Colangelo: “The green and digital transitions are concomitantly underway. In its upcoming Action Plan on Digitalisation of Energy, the European Commission aims to develop a digital-driven “European energy data space” to allow for data sharing and system integration between the energy sector and other sectors, e.g. mobility.

CERRE  has begun working at the intersection of digital and energy with a new, cross-sector research initiative aimed at identifying the business case and governance principles for the development of a European energy data space, using the concrete example of smart electric vehicle charging points, which will play an important role in increasing the flexibility and efficiency of the energy sector.

Key research questions to be addressed as part of the project are:

  • What property rights are included within the smart charging data?
  • What is the business case for industry players and customers to share their data?
  • What should be the overarching principles governing a European energy data space?
  • What government interventions or data standards are required to make specific use cases successful for achieving green transition goals?..(More)”.

The Bristol Approach for Citizen Engagement in the Energy Market

Curated on Posted on by Stefaan Verhulst

Interview by Sebastian Klemm with Lorraine Hudson Anna Higueras and Lucia Errandonea:”… the Twinergy engagement framework with 5 iterative steps:

  1. Identification of the communities.
  2. Co-Design Technologies and Incentives for participating in the project.
  3. Deploy Technologies at people’s home and develop new skills within the communities.
  4. Measure Changes with a co-assessment approach.
  5. Reflect on Outcomes to improve engagement and delivery.

KWMC and Ideas for Change have worked with pilot leaders, through interviews and workshops, to understand their previous experience with engagement methods and gather knowledge about local contexts, citizens and communities who will be engaged.

The Citizen Engagement Framework includes a set of innovative tools to guide pilot leaders in planning their interventions. These tools are the EDI matrix, the persona cards, scenario cards and a pilot timeline.

  1. The EDI Matrix that aims to foster reflection in the recruitment process ensuring that everyone has equal opportunities to participate.
  2. The Persona Cards that prompt an in-depth reflection about participants background, motivations and skills.
  3. The Scenario Cards to imagine possible situations that could be experienced during the pilot program.
  4. A Pilot Timeline that provides an overview of key activities to be conducted over the course of the pilot and supports planning in advance….(More)”.