The IPCC Sixth Assessment Report emphasizes that:
Greenhouse gas emissions must be drastically cut to keep global warming below 1.5°C.
This involves significant and immediate changes across all sectors, including energy, agriculture, transportation, and building.
The report provides detailed pathways for achieving these reductions, highlighting the need for rapid decarbonization of electricity supply, increased energy efficiency, and adoption of sustainable land management practices.
These cuts are needed immediately (2022).
Delaying action will make it more difficult and costly to achieve the 1.5°C target, potentially leading to irreversible climate changes.
Immediate action can spur innovation, create new jobs, and improve public health.
This is incompatible with unlimited economic growth.
The report suggests a shift towards sustainable development models that prioritize human well-being, equity, and environmental sustainability over traditional economic growth metrics.
This involves adopting circular economy principles, reducing consumption, and investing in green technologies.
Computational resources are finite.
The availability of raw materials, energy, and water for producing and operating computing devices is limited.
The environmental impact of e-waste and the disposal of obsolete hardware is a growing concern.
Since the 1970s, there has been increasing use of computational resources.
The proliferation of personal computers, mobile devices, and cloud computing has led to a dramatic increase in energy consumption and greenhouse gas emissions.
The demand for data storage, processing power, and network bandwidth continues to grow exponentially.
Growth of performance per Watt has been exponential (Koomey's Law).
Koomey's Law states that the energy efficiency of computation doubles approximately every 1.5 years.
This has allowed for significant improvements in computing performance without a corresponding increase in energy consumption.
Computational resources have been effectively treated as infinite until recently.
The focus on increasing computing power and reducing costs has often overlooked the environmental consequences of energy consumption and resource depletion.
The lack of awareness and concern about the environmental impact of computing has led to unsustainable practices.
Growth in demand cannot be offset by increased power efficiency.
Despite improvements in energy efficiency, the overall demand for computing resources is growing at a faster rate.
This means that total energy consumption and greenhouse gas emissions from computing continue to rise.
Moore and Koomey's laws can’t save us (“the free lunch is over”).
Moore's Law, which describes the doubling of transistors on a microchip every two years, is slowing down.
This means that improvements in computing performance are becoming more difficult and expensive to achieve.
The carbon footprint from computing will become a major contributor to the world total if business continues as usual.
If current trends continue, the energy consumption of computing devices could account for a significant portion of global greenhouse gas emissions by 2040.
The carbon footprint of device production is also significant.
The manufacturing of computers, smartphones, and other electronic devices requires large amounts of energy and resources.
The extraction of raw materials, the production of components, and the assembly of devices all contribute to greenhouse gas emissions.
Moore's Law has led to very short compute hardware lifetimes.
The rapid pace of technological innovation has led to a culture of planned obsolescence, where devices are designed to be replaced after a short period.
This results in a large amount of electronic waste and exacerbates the environmental impact of device production.
The current rate of obsolescence is unsustainable.
The environmental consequences of continuously producing and disposing of electronic devices are becoming increasingly severe.
A more sustainable approach is needed, one that emphasizes extending the lifespan of devices and reducing electronic waste.
Society needs to treat computational resources as finite and precious.
A shift in mindset is needed, one that recognizes the environmental impact of computing and prioritizes sustainability.
Consumers, businesses, and governments all have a role to play in promoting frugal computing practices.
Computing scientists, developers, and engineers need to ensure computing has the lowest possible energy consumption.
This involves designing energy-efficient algorithms, optimizing code for performance, and developing hardware with lower power requirements.
It also means considering the environmental impact of computing when making design decisions.
This must be achieved with currently available technologies since device lifetimes need to be extended dramatically.
While new technologies may offer some improvements in energy efficiency, it is important to focus on optimizing existing technologies and extending the lifespan of devices.
This can be achieved through software updates, hardware repairs, and promoting the reuse of devices.
To limit global warming to below 1.5°C by 2040, a global reduction from 57 to 13 gigatonnes CO2 equivalent per year (GtCO2e/y) is needed.
This requires unprecedented and immediate action to reduce greenhouse gas emissions across all sectors.
The transition to a low-carbon economy will require significant investments in renewable energy, energy efficiency, and sustainable transportation.
This requires cutting emissions by ~10% per year.
Achieving this target will require a sustained and concerted effort to reduce emissions by 10% each year.
This will require significant changes in behavior, technology, and policy.
Currently, emissions are rising between 1%-2% a year.
Despite international agreements and efforts to reduce emissions, global emissions continue to rise.
This highlights the need for more ambitious and effective policies to address climate change.
Emissions from electricity are about 10 GtCO2e.
Electricity generation is a major source of greenhouse gas emissions, particularly in countries that rely on fossil fuels.
The transition to renewable energy sources, such as solar, wind, and hydropower, is essential for reducing emissions from electricity.
Electricity consumption is rising steeply.
As the global population grows and economies develop, the demand for electricity continues to increase.
This growth in demand must be met with clean energy sources to avoid further increases in greenhouse gas emissions.
Most electricity is still generated by burning fossil fuels.
Despite the growth of renewable energy, fossil fuels still account for a significant portion of global electricity generation.
The phase-out of fossil fuels and the transition to clean energy sources is a critical step in addressing climate change.
Renewables and nuclear energy won’t save us.
While renewable energy and nuclear power can play an important role in reducing emissions, they are not a silver bullet.
The deployment of these technologies is often slow and faces various challenges, such as high costs, land use conflicts, and public opposition.
Deployment is too slow.
The pace of deployment of renewable energy and nuclear power is not fast enough to meet the urgent need to reduce emissions.
This is due to a variety of factors, including technological barriers, regulatory hurdles, and financial constraints.
It takes 20 years to build a new nuclear power plant, and old ones are being shut down.
The construction of nuclear power plants is a lengthy and complex process, often taking decades to complete.
Many existing nuclear power plants are also being shut down due to safety concerns, economic considerations, and political pressure.
Renewables + nuclear will provide only 30% of electricity by 2040.
Even with significant investments in renewable energy and nuclear power, these sources are unlikely to provide more than 30% of global electricity by 2040.
This highlights the need for other solutions to reduce emissions from electricity.
Carbon Capture & Storage is also problematic.
Carbon capture and storage (CCS) is a technology that captures carbon dioxide emissions from industrial sources and stores them underground.
While CCS has the potential to reduce emissions, it is not a proven technology and faces various challenges, such as high costs, energy requirements, and storage capacity limitations.
The energy required in the capture process can be greater than the energy made available during the release of the CO2.
The capture process itself requires energy, which can offset some of the benefits of CCS.
In some cases, the energy required for capture can be greater than the energy produced by the facility, making the process energy-intensive.
Many scenarios assume large areas of land will be available, which may not be realistic or compatible with sustainability goals.
The deployment of CCS on a large scale would require significant amounts of land for storage and infrastructure.
This could lead to land use conflicts and may not be compatible with other sustainability goals, such as biodiversity conservation and food security.
There are poorly quantified risks of re-release and no credible standards or compliance procedures.
There are risks of carbon dioxide leaking from storage sites, which could negate the benefits of CCS.
There is a lack of clear standards and compliance procedures for CCS, which makes it difficult to ensure the safety and effectiveness of the technology.
Ethically, this may be seen as greenwashing.
Some critics argue that CCS is being used as a way to justify continued reliance on fossil fuels.
They argue that CCS is not a sustainable solution and that it distracts from the need to transition to renewable energy sources.
Carbon offsetting has limitations.
Carbon offsetting is a process of reducing emissions in one place to compensate for emissions in another place.
While carbon offsetting can play a role in reducing emissions, it is not a perfect solution and faces several limitations.
The earth’s land ecosystems can absorb 40 - 100 GtCO₂e from the atmosphere.
Land ecosystems, such as forests and soils, can absorb carbon dioxide from the atmosphere through photosynthesis.
This natural carbon sink helps to regulate the climate and reduce the concentration of greenhouse gases in the atmosphere.
Once this is achieved (takes decades), there is no capacity for additional carbon storage on land.
The capacity of land ecosystems to absorb carbon dioxide is limited.
Once the land ecosystems are saturated with carbon, they can no longer absorb additional carbon dioxide from the atmosphere.
The world emits 50 GtCO₂e/year, so offsetting can only handle at most 2 years' worth of emissions.
The amount of carbon dioxide emitted by human activities each year is far greater than the amount that can be absorbed by land ecosystems.
This means that carbon offsetting can only address a small portion of global emissions.
The only way to reduce atmospheric CO2 to 1.5°C levels by 2040 is:
To reduce energy consumption.
Reducing energy consumption is essential for reducing greenhouse gas emissions.
This can be achieved through energy efficiency measures, such as using more efficient appliances, insulating homes, and driving less.
To reduce the amount of goods produced.
Reducing the amount of goods produced and consumed can also help to reduce emissions.
This can be achieved through sustainable consumption practices, such as buying less, reusing products, and recycling materials.
This is largely an economic problem, but technology has an important role to play.
While economic factors play a significant role in emissions, technology can play an important role in reducing emissions.
Technological innovations, such as renewable energy, energy storage, and carbon capture, can help to reduce emissions and transition to a low-carbon economy.
In 2020, emissions from using computing were between 3.0% and 3.5% of the total.
The energy consumption of computing devices, such as computers, smartphones, and data centers, contributes to greenhouse gas emissions.
As the demand for computing resources continues to grow, the carbon footprint of computing is also increasing.
This is already more than the airline industry.
The carbon footprint of computing is already greater than that of the airline industry, which is a significant source of emissions.
This highlights the need to address the environmental impact of computing.
By 2040 this will grow to 14% (4x).
If current trends continue, the carbon footprint of computing could grow to 14% of global emissions by 2040.
This would make computing a major contributor to climate change.
By 2040, energy consumption of compute devices would be responsible for 5 gigatonnes of CO2.
The energy consumption of computing devices is projected to increase significantly by 2040.
This would result in a significant increase in greenhouse gas emissions.
Emissions from the production of computing devices exceed those incurred during operation.
The manufacturing of computers, smartphones, and other electronic devices requires large amounts of energy and resources.
The extraction of raw materials, the production of components, and the assembly of devices all contribute to greenhouse gas emissions.
Taking into account this carbon cost of production, computing would be responsible for 10 gigatonnes of CO2 by 2040.
When the emissions from both the operation and production of computing devices are taken into account, the total carbon footprint of computing is even greater.
This highlights the need to address the environmental impact of the entire lifecycle of computing devices.
This is almost 80% of the acceptable CO2 emissions budget of 13 gigatonnes of CO2.
The projected carbon footprint of computing by 2040 is a significant portion of the acceptable CO2 emissions budget for limiting global warming to 1.5°C.
This means that significant reductions in the carbon footprint of computing are needed to meet climate targets.
High-Definition Video/VR/AR
The increasing demand for high-definition video, virtual reality (VR), and augmented reality (AR) is driving up emissions from computing.
These technologies require large amounts of data to be processed and transmitted, which consumes significant amounts of energy.
Growth in demand and in resolution.
The demand for high-definition video, VR, and AR is growing rapidly.
As the resolution of these technologies increases, the amount of data required to be processed and transmitted also increases.
VR/AR encode 3-D, so even higher bandwidth is needed.
VR and AR encode three-dimensional data, which requires even higher bandwidth than traditional video.
This further increases the energy consumption of these technologies.
Internet of Things (IoT)
The Internet of Things (IoT) is a network of interconnected devices that collect and exchange data.
The proliferation of IoT devices is driving up emissions from computing, as each device requires energy to operate and communicate.
Every small device has a huge network+cloud footprint.
Even small IoT devices can have a significant network and cloud footprint, as they require data storage, processing, and analysis.
The cumulative impact of millions or billions of IoT devices can be substantial.
Manufacturing of devices also has a large footprint.
The manufacturing of IoT devices also contributes to greenhouse gas emissions.
The extraction of raw materials, the production of components, and the assembly of devices all require energy and resources.
AI (particularly generative large language models)
Artificial intelligence (AI), particularly generative large language models, is driving up emissions from computing.
These models require large amounts of data to be trained and operated, which consumes significant amounts of energy.
Queries (e.g., ChatGPT) consume a huge amount of energy (40x more than conventional search).
Queries to generative large language models, such as ChatGPT, consume significantly more energy than conventional search queries.
This is due to the complexity of the models and the large amount of data they process.
Due to hype, growth is very steep.
The growth of AI is being driven by hype and unrealistic expectations.
This is leading to a rapid increase in energy consumption and greenhouse gas emissions.
Most governments have bought into this hype.
Many governments are investing heavily in AI, without fully considering the environmental consequences.
This could lead to a significant increase in emissions.
AI everywhere would lead to a very large increase in emissions.
The widespread adoption of AI could lead to a very large increase in energy consumption and greenhouse gas emissions.
This highlights the need for caution and careful planning in the development and deployment of AI.
Mobile devices
Mobile devices, such as smartphones and tablets, are a major source of emissions from computing.
The demand for mobile devices continues to grow, particularly in developing countries.
Still high growth in demand.
The demand for mobile devices is continuing to grow, driven by factors such as increasing affordability and the availability of new applications.
This growth in demand is leading to a corresponding increase in emissions.
The main driver is short replacement cycles.
The short replacement cycles of mobile devices are a major driver of emissions.
Consumers often replace their devices after only a few years, even if they are still functional.
Mobile devices have a huge network+cloud footprint and a large manufacturing footprint.
Mobile devices have a significant network and cloud footprint, as they require data storage, processing, and analysis.
The manufacturing of mobile devices also contributes to greenhouse gas emissions.
Growth of network infrastructure (5G, 6G, …).
The growth of network infrastructure, such as 5G and 6G, is also driving up emissions from computing.
These technologies require more energy to operate than previous generations of networks.
Lifecycle phases include:
Raw material extraction
The extraction of raw materials, such as minerals and metals, requires energy and can have significant environmental impacts.
Mining operations can contribute to deforestation, soil erosion, and water pollution.
Manufacturing
The manufacturing of computing devices requires energy and resources.
The production of components, such as microchips and displays, can be particularly energy-intensive.
Transport
The transport of raw materials, components, and finished products contributes to greenhouse gas emissions.
The use of ships, trucks, and airplanes for transportation can have a significant environmental impact.
Usage
The use of computing devices requires electricity.
The energy consumption of devices can vary depending on factors such as the type of device, the intensity of use, and the energy efficiency of the device.
Disposal (end-of-life)
The disposal of computing devices can have environmental impacts.
If devices are not properly recycled, they can end up in landfills, where they can release hazardous materials into the environment.
Involves:
Mining (crushing rock, transportation)
Mining involves extracting raw materials from the earth.
This process can be energy-intensive and can have significant environmental impacts, such as deforestation, soil erosion, and water pollution.
Smelting
Smelting is a process of extracting metals from their ores.
This process requires high temperatures and can release pollutants into the air and water.
Chip production requires:
Electricity
Chip production requires a significant amount of electricity.
The energy consumption of chip production can vary depending on the complexity of the chip and the efficiency of the manufacturing process.
Raw materials (silicon wafers, gases, metals, …)
Chip production requires a variety of raw materials, including silicon wafers, gases, and metals.
The extraction and processing of these materials can have environmental impacts.
Production greenhouse gases (much worse than CO2)
The production of chips can release greenhouse gases that are much more potent than carbon dioxide.
These gases can contribute to climate change.
Water
Chip production requires a significant amount of water.
The water is used for cleaning, cooling, and other processes.
Similar processes for other components.
Involves:
Infrastructure (data center buildings etc.)
Data centers are large facilities that house computing equipment.
These facilities require energy for servers, cooling, and other equipment.
Electricity
The use of computing devices requires electricity.
The energy consumption of devices can vary depending on factors such as the type of device, the intensity of use, and the energy efficiency of the device.
Cooling overhead (requires energy)
Computing equipment generates heat, which must be removed to prevent damage.
Cooling systems require energy to operate.
Water (evaporated and lost to the local environment)
Some cooling systems use water, which is evaporated and lost to the local environment.
This can have a significant impact on water resources.
Options include:
Recycling (requires transport, energy to disassemble, energy to produce new goods)
Recycling involves breaking down used devices and recovering valuable materials.
This process requires energy for transportation, disassembly, and the production of new goods.
Refurbishing (similar but less so)
Refurbishing involves repairing and restoring used devices to working condition.
This process requires less energy than recycling.
Landfill (transport, often to Africa; pollution; no chance for recycling)
Landfilling involves disposing of used devices in landfills.
This process can have significant environmental impacts, such as pollution and the release of hazardous materials.
Includes:
Data centers
Transmission networks
User media devices
Wired access networks
Core networks
Home terminals and routers
Cellular access networks
Cloud storage and encoding
Content Delivery Network
Subscriber premises
Internet transmission
Network transmission
Peripherals
Screens
Includes:
End-user premises
Network (“internet”)
Cloud data centre