Energy and climate impacts of digital technologies

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first of all a big thank you to the

organizers at climate change ai for

inviting me and for all their hard work

in putting this event together

today i’ll be speaking about the energy

and climate impacts of digital

technologies drawing on our work at the

iaea

and all the great research being

conducted by colleagues all around the

world

first a bit of context on where we are

today in terms of our greenhouse gas

emissions

and where we need to go some of you

might already be familiar with charts

like this one which show just how

quickly emissions have grown over the

past few decades

this one shows carbon emissions from the

energy sector this includes everything

from oil and gas production to

electricity generation

to the energy used in transportation

buildings and industries

these are all the sectors that we cover

at the iaea

this year carbon emissions are expected

to fall by around seven percent because

of the covet crisis

or around two and a half billion tons

which would be the biggest

annual drop in history but what’s really

daunting is that emissions need to fall

at almost the space every year for the

coming decades for us to reach our

climate goals

for around 1.5 degrees that means net

zero by 2050.

and for around 1.7 degrees that’s net

zero by 2070.

that means we need big structural

changes to policies and infrastructure

since the kind of behavioral and

economic changes we saw in 2020 just

aren’t sustainable and came at an

incredible cost to human life

and to society

with government spending trillions in

recovery packages we really are at a

critical turning point

if governments invest in clean energy we

still have a chance at a 1.5 degree

world

but if they choose to invest in

polluting technologies and industries

emissions are likely to bounce back like

we’ve seen after other drops in the past

and our chances that even a two degree

world could slip away

so you might be wondering which sectors

and activities are most responsible for

greenhouse gas emissions

about three quarters come from the

energy sector and industrial processes

the rest come from agriculture forestry

land use and waste

within the energy sector emissions come

from many different sectors and services

that use fossil fuels

industries buildings transportation coal

and gas power and fossil fuel production

now with that bit of background let’s

focus on digital technologies and how

they impact

the climate digital technologies have a

very real carbon footprint

from the energy used to power the data

centers data networks computers and

smartphones that we use every day

and how they’re used to affect emissions

from other sectors for example how gps

and smartphones have enabled new

transport services like uber and lyft

and in turn these changes can have

secondary effects on other sectors and

services in our built environment

let’s first look at the direct energy

use and emissions from digital

technologies

one thing about digital technologies is

that they’re growing very quickly

compared to other economic and energy

indicators

since 2000 our population has grown by

around a quarter

gdp has almost doubled electricity use

is up almost 70

while the number of internet users has

grown by more than ten times

and global internet traffic has grown by

more than two thousand times

so it kind of makes sense that there is

growing concern over the

energy and environmental impacts of

digital technologies

here’s a headline from the guardian a

couple of years ago saying that a

tsunami of data could use a fifth of

global electricity by 2025

and these kinds of headlines have been

around for a long time

here’s one from 1999 that predicted that

the internet would use half the u.s

electricity supply by 2010

and for that reason the article argued

that the u.s should build

more coal-fired power plants

but in reality the latest research shows

that energy use and emissions from the

ict sector have actually been flat over

the past decade

researchers in u.s published this paper

in science earlier this year showing how

global data center energy use has been

flat since 2010

since 2010 internet traffic is up 12

times

and demand for data center services is

up seven and a half times

but data center energy use has been flat

at around 200 terawatt hours

which is around one percent of global

electricity use

data transmission networks use another

one

there are really two main drivers that

explain how data demand and energy use

trends have diverged

first the energy efficiency of computing

and data transmission has been doubling

every two to three years

and for data centers there’s also been a

massive shift from smaller less

efficient corporate data centers to much

more efficient cloud and hyper-scale

data centers

and these big data centers are getting

even more efficient a few years ago

deepmind applied machine learning to cut

energy use for cooling by 40

so the industry is doing a lot in terms

of energy efficiency to reduce the

energy that it needs

it’s also doing a lot to make sure that

the remaining energy needs are supplied

with clean electricity

the big tech companies are the biggest

corporate buyers of renewable

electricity in the world

apple and google have reached 100

renewables for a few years now

and facebook is expected to reach 100

renewables later this year

what that means is that they’re buying

enough renewable energy each year to

match the amount of electricity that

they’re using in their operations

so for every terawatt hour of

electricity that they’re using

they’re buying a terawatt hour of

renewables that doesn’t mean that their

operations are fully powered by

renewables

all the time data centers run 24 hours a

day but

solar and wind aren’t available all the

time

that means that they still need to rely

at least some of the time on the grid

and that

it that it means it really depends on

where they operate

you can see on this map from google that

some of their sites like in oklahoma run

almost exclusively on clean electricity

but in other places like singapore it’s

mostly gas

overall they’ve estimated that they’re

at around 60

clean energy on an hourly basis

google recently announced that they’re

aiming to get to 100 carbon free

electricity

24 7 by 2030.

that means they’ll need to get enough

zero carbon electricity at each site for

every hour

of the year that might mean using

machine learning

to better forecast when and where

renewables will be available

so that they can shift some workloads to

different times of the day

or even different sites to take

advantage of renewables being generated

so far we’ve focused mostly on the use

phase of digital technologies

but there are impacts throughout the

life cycle of all products from

raw materials extraction and

manufacturing all the way to end of life

for smartphones for example the use

phase is actually a small part of its

overall environmental impact

around 80 percent comes from material

extraction in the manufacturing phases

and there are some other environmental

impacts beyond energy use and greenhouse

gas emissions

like impacts on land air water

biodiversity and of course electronic

waste

so we’ve talked a bit about data centers

networks and devices

but what are the specific impacts of

individual digital activities

you might have seen headlines like this

one over the past year

which said that watching a half hour

show emits as much

co2 as four miles of driving

it turns out the numbers in those

headlines were 40 to 80 times too high

of course the numbers depend on how your

electricity is generated

and whether you’re watching on a big

screen tv or a smartphone

since a big tv uses about 100 times more

electricity than a phone

but on average a half hour show probably

emits around 20 grams of co2

which is around the same as driving 100

meters in a combustion engine

car the main takeaway here is that

emissions from streaming video are

actually very small compared to other

everyday activities

and definitely much lower than driving

to a movie theater

or buying or renting a dvd

but of course it’s become a lot easier

to watch more

so there’s a big rebound effect we also

need to take into account

so going back to this could this

headline actually come true over the

next five years

that number actually comes from a 2015

study that estimated

ict energy use and emissions out to

the big challenge with long-term energy

projections for digital technologies

is that the technologies and their uses

change quickly

and they’re very hard to predict that

same author’s latest projections

published this year

are four times lower than his original

projections that were quoted in the

guardian

in just the past 10 years we’ve seen

smartphones become mainstream

new generations of mobile networks much

more streaming media

and huge efficiency improvements to keep

energy demand in check

and now we’re seeing emerging

technologies like blockchain machine

learning and 5g

and it’s really hard to predict how new

applications that are built on top of

these technologies could impact data

demand and energy use in 10

20 or even 30 years

let’s shift gears a bit and talk about

some of the effects that digital

technologies could have on other sectors

a good example here is teleworking

something more people are doing these

days

because of kovid generally the direct

energy use of digital technologies is

about the same whether you’re at home or

in the office

so most of the net effects are actually

going to come from using more energy at

home for heating or cooling

offset by energy saved from not

commuting

the net effects really depend on your

situation

if you live in a big home and it’s

winter time you’re probably going to use

a lot of energy for heating

and the amount of energy you save from

not commuting will depend on how far you

travel

and whether you drive take public

transit or walk or cycle

and whether the office saves energy

really depends on how often you telework

because an office that’s half full is

still going to be using a lot of energy

to keep it running

there are also longer term effects that

are difficult to predict

somebody that can telework all the time

might choose to move outside the city

where houses are cheaper to buy and that

might mean that they can buy a bigger

home or get a car

which means they’re probably going to be

using more energy overall

well the net effects of day-to-day

teleworking really depend on the

situation

one thing that’s for sure is that

replacing a business flight with video

conferencing can save a lot of energy

and emissions

a couple years ago we published a report

looking at how digitalization could

impact the energy sector

we found a whole range of applications

that could cut costs improve efficiency

and help reduce emissions

in buildings these are things like smart

building controls and thermostats that

can help optimize energy use

in transport we looked at automated

vehicles and how they could slash energy

use if they’re shared in electric

but could also drastically increase

energy use and emissions if they’re just

if they displace public transport and

are not shared or electric

in industry we looked at how 3d printing

and digital twins could accelerate

innovation and

reduce material and energy use

in electricity sensors and automation

are already being used to improve

efficiency and reduce maintenance costs

machine learning is being applied to

forecast solar and wind and better match

supply and demand from

increasingly decentralized sources

and in oil and gas i just saw a paper

published the other day that applied

machine learning to cut the costs of

detecting methane leaks

i think it’s worth highlighting here

that how digital technologies are

applied in these sectors will really be

shaped by climate policy

it’s important to remind ourselves that

digital technologies are agnostic to

climate

while we hope that they’re applied only

to reduced emissions they could just as

easily be applied to increase emissions

like through extending the lifetime of

coal plants or accelerating the

extraction of oil and gas

what we need are strong climate policies

that to make sure that digitalization

helps to combat climate change

and not make it worse

before i wrap up i just want to

highlight a couple key points about the

challenge ahead for decarbonizing the

energy system

first is that emissions today come from

many different sources

and that means we can’t pick and choose

which sectors to decarbonize or which

clean energy technologies to use

because we need to use all of them to

carbonize all sectors

as quickly as possible and the challenge

with the energy sector is that energy

infrastructure lasts

for a long time especially when we

compare them to digital infrastructure

and hardware

coal-fired power plants have a lifetime

of more than 50 years

and that means a coal plant that’s being

built today in asia could

still be running in 2070.

a new gasoline car that’s coming off the

assembly line could be driving around

in 20 years

the other point is that while dealing

with existing assets we also need to

rapidly scale up existing

and new clean energy technologies this

is an area where i think digital

technologies could play a huge role in

accelerating innovation cycles with

technologies like machine learning and

digital twins

to reach net zero by 2070 about a third

of emission reductions will come from

technologies that aren’t yet commercial

today

and to get to net zero by 2050 almost

half of the emission reductions come

from these technologies

and for hard to abate sectors like heavy

industry and long distance transport

three quarters of the reductions come

from these early stage technologies

so to wrap it up there’s a lot we can do

as individuals researchers and

practitioners to reduce the carbon

footprint of our digital activities

but there’s even more that governments

can do with strong

enabling climate policies to make sure

that digital technologies help to

accelerate climate action

as individuals we can replace our

devices less frequently

and watch our shows on smaller screens

when we can

and there’s a lot we can do with our

transport choices especially flying

and of course our diets but i think the

most important thing we can do as

citizens

is to support climate champions whether

that’s through voting

supporting ngos or buying from

responsible companies

as ml practitioners and engineers

there’s a lot you can do in your

day-to-day work

both in terms of reducing your own

emissions but also figuring out how your

skills could help tackle climate change

in other sectors

governments perhaps have the biggest

role to play through ambitious and

concrete action on climate change that

encourages tech

for good and finally there’s a lot that

tech companies can do

not just reducing their own emissions

from their data centers and products

but figuring out how to use their

cutting edge technologies and vast

resources to accelerate the global clean

energy transition

there’s a lot of potential for digital

technologies to help tackle the climate

crisis

and we need everyone citizens experts

companies

and governments to do their part to help

ensure a more sustainable future

thank you

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首先非常感谢

气候变化 ai 的组织者

邀请我,感谢他们辛勤

工作,

今天我将谈论能源

和气候影响 数字

技术利用我们在原子能机构的工作

以及世界各地同事正在进行的所有伟大研究,

首先了解一下我们

今天在温室气体

排放方面

的情况以及我们需要去的地方,你们中的一些人

可能已经 熟悉

这样一张图表,它显示

了过去几十年排放量的增长速度。

这张图表显示了能源部门的碳排放量,

包括

从石油和天然气生产到

发电

再到交通

建筑和工业中使用的能源

的方方面面 我们今年在国际原子能机构涵盖的所有部门的

碳排放量预计

将下降 7%

左右吗? 和 25 亿吨

,这将是历史上最大的

年度下降,但真正

令人生畏的是,

在接下来的几十年里,排放量几乎每年都需要下降,这样

我们才能达到

大约 1.5 度的气候目标,这意味着净

到 2050

年为零。到 2070 年大约为 1.7 度,净

零。

这意味着我们需要

对政策和基础设施进行重大的结构性改变,

因为

我们在 2020 年看到的那种行为和经济变化

是不可持续的,并且

付出了难以置信的代价 人类生活

社会 政府在复苏计划中花费数万亿美元

如果政府投资于清洁能源,我们确实处于关键转折点,我们

仍有机会达到 1.5 度的

世界,

但如果他们选择投资于

污染性技术和行业,

排放量很可能 像

我们在过去的其他下降之后看到的那样反弹

,即使是两度的

世界也有可能溜走,

所以你可能会想 哪些部门

和活动对

温室气体

排放负责

建筑物 运输 煤炭

和天然气 电力和化石燃料生产

现在有了这些背景 让我们

专注于数字技术以及

它们如何影响

气候 我们每天都

在使用它们,以及它们是如何影响

其他部门的排放的,例如 gps

和智能手机如何启用新的

交通服务,如 uber 和 lyft

,而这些变化又会对我们建筑环境中

的其他部门和服务产生次要影响

首先看直接能源

使用和em 来自数字

技术的

问题 关于数字技术的一件事是

,自 2000 年以来,与其他经济和能源指标相比,它们的增长速度非常快

我们的人口增长了

约四分之一

gdp 几乎翻了一番 用电量

增加了近 70,

而互联网用户的数量

增长了十多倍

,全球互联网流量增长了

两千多倍,

因此人们

越来越关注数字技术对

能源和环境的影响,这是有道理的,这

是几年前卫报的头条新闻

说到 2025 年,一场

数据海啸可能会消耗全球五分之一的

电力,

而这类头条新闻已经

存在了很长时间,

这是 1999 年的一个预测,

到 2010 年互联网将使用美国一半的

电力

供应,因此 文章

认为美国应该建造

更多的燃煤电厂,

但实际上最新的研究表明

, 过去十年,ICT 行业的能源使用和排放量

实际上一直持平

美国的

研究人员今年早些时候在《科学》杂志上发表了这篇论文

,展示了自 2010 年以来

全球数据中心的能源使用情况如何

自 2010 年以来一直持平,

互联网流量增长了 12

倍,

并且对 数据中心服务

增长了七倍半,

但数据中心能源使用量一直

保持在 200 太

瓦时左右,约占全球用电量的 1%

能源使用

趋势首先出现分歧

计算

和数据传输的能源效率

每两到三年翻一番

,对于数据中心,也出现了

从效率较低的小型

企业数据中心到

更高效的云和超大规模

数据中心的巨大转变

而这些大数据中心在

几年前变得更加高效

deepmind 应用机器 学习将

用于冷却的能源使用量减少 40 年,

因此该行业在能源效率方面做了很多工作

以减少所需的

能源

它也做了很多工作以

确保剩余的能源需求

由大型科技公司提供清洁电力 是世界上最大

的可再生能源企业买家

苹果和谷歌几年来已经达到 100 种

可再生能源,

而 Facebook 预计今年晚些时候将达到 100 种

可再生能源

这意味着他们

每年购买的可再生能源足以

匹配

他们在运营中使用的电量,

因此对于他们使用的每太瓦时的

电力,

他们正在购买一太瓦时的

可再生能源,这并不意味着他们的

运营始终完全由

可再生能源供电

数据 中心每天 24 小时运行,

太阳能和风能并非一直可用,

这意味着它们

至少在某些时间仍需要依赖电网,

并且

这意味着这实际上取决于

他们在哪里经营

你可以从谷歌的这张地图上看到他们的

一些网站,比如在俄克拉荷马州,

几乎完全依靠清洁电力运行,

但在新加坡等其他地方,总体上

主要是天然气,

他们估计他们 “

每小时大约有 60 个

清洁能源

谷歌最近宣布,他们的

目标是到 2030 年达到 100 个无碳

电力

24 7 。

这意味着他们需要在每个站点每小时获得足够的

零碳电力

这一年可能意味着使用

机器

学习更好地预测

可再生能源何时何地可用,

以便他们可以将一些工作负载转移到

一天中的不同时间

甚至不同的地点,以

利用迄今为止我们主要关注的可再生能源产生的优势

数字技术的使用阶段,

但在

从原材料提取和制造一直到生命周期结束的所有产品的整个生命周期中都会受到影响

以智能手机为例,使用

阶段实际上只是其整体环境影响的一小部分,

大约 80% 来自

制造阶段的材料提取,

除了能源使用和温室

气体排放

之外,还有其他一些环境影响,例如对陆地空气、水

生物多样性和 当然是电子

垃圾,

所以我们讨论了一些关于数据中心

网络和设备的内容,

但是在过去的一年中,

您可能会看到像这样的头条新闻

,其中说观看半小时的

节目会产生同样多的个人数字活动的具体影响

二氧化碳作为四英里的驾驶

事实证明,这些

头条新闻中的数字高出 40 到 80

倍当然这些数字取决于你的

电力是如何产生的,

以及你是在大

屏幕电视上看还是在智能手机上看

大电视 用

电量大约是手机的 100 倍,

但平均一个半小时的节目可能

会排放约 20 克的

二氧化碳 h 与

在内燃机

汽车中行驶 100 米大致相同 这里的主要内容是,

与其他日常活动相比,流媒体视频的排放实际上非常小,

而且绝对比开车

去电影院

或购买或租借 DVD 低得多,

但是 当然

,观看更多内容变得更加容易,

因此我们还需要考虑到很大的反弹效应,

所以回到这个

标题是否真的会在未来五年内成为现实,

这个数字实际上来自 2015 年的

一项估计

ICT 的研究 到

2030 年

的能源使用和排放。对数字技术进行长期能源预测的最大挑战

是技术及其使用

变化

很快,而且很难预测

同一作者今年发布的最新预测

低于 4 倍 他在过去 10 年

里引用了《卫报》的原始预测

我们已经看到

智能手机成为主流

新基因 移动网络的配给

更多的流媒体

和巨大的效率改进,以控制

能源需求

,现在我们看到了

区块链机器

学习和 5g

等新兴技术,很难预测

基于这些技术构建的新应用程序将

如何 影响

10 到

20 年甚至 30 年

的数据需求和能源使用 让我们换个角度谈谈

数字

技术可能对其他行业产生的一些影响

这里的一个很好的例子是远程办公,

这些天因为 kovid 而越来越多的人正在做

的事情 无论您是在家还是在办公室

,数字技术的直接能源使用

大致相同

因此大多数净效应实际上

将来自于在家中使用更多的能源

来供暖或制冷,这

被不通勤所节省的能源所抵消

如果你住在一个大房子里,实际效果真的取决于你的情况,而且现在是

冬天,你可能会

使用很多电子产品 供暖

的能源和不通勤节省的能源量

将取决于您

旅行的距离

以及您是否开车乘坐公共

交通工具、步行或骑自行车

以及办公室是否节省能源

实际上取决于您远程

办公的频率,因为办公室半满

仍然会使用大量能源

来保持运行

还有难以预测的长期影响

可以一直远程工作的人

可能会选择搬到

房价更便宜的城市以外的地方,这

可能意味着 他们可以买更大的

房子或买一辆车

,这意味着他们可能会

总体上使用更多的能源

日常远程工作的净效果

确实取决于

情况,可以肯定的是,

更换商务航班 通过视频

会议可以节省大量能源

排放 几年前,我们发布了一份报告

,探讨数字化如何

影响能源行业,

我们发现整个过程

可以降低成本的应用程序可以提高效率

并帮助减少

建筑物的排放,例如智能

建筑控制和恒温器,

可以帮助优化

运输中的

能源

使用 电动,

如果它们只是

取代公共交通并且在工业

中不共享或电动

,也可能会大大增加能源使用和排放 我们研究了 3D 打印

和数字双胞胎如何加速

创新并

减少电力传感器和能源的材料和能源

使用 自动化

已被用于提高

效率和降低维护成本

机器学习被用于

预测太阳能和风能,并更好地匹配

日益分散的资源

和石油和天然气的供需我刚刚看到前

几天发表的一篇应用

机器学习的论文 为了降低检测甲烷泄漏的成本,

我认为这是值得的 在此

强调数字技术

在这些领域的应用方式将

真正受到气候

政策的影响,重要的是要提醒自己,

数字技术与气候无关,

而我们希望它们仅

用于减少排放,而它们也可以

很容易地应用于 增加排放,

例如通过延长

燃煤电厂的寿命或加速

石油和天然气的开采

我们需要强有力的气候政策

,以确保数字化

有助于应对气候变化,

而不是在结束之前让情况变得更糟

我只想

强调 关于能源系统首先脱碳面临的挑战的几个关键点

是,今天的排放来自

许多不同的来源

,这意味着我们无法选择

要脱碳的部门或使用哪些

清洁能源技术,

因为我们需要使用所有 尽快

碳化所有部门

和能源部门的挑战 r 是能源

基础设施可以

持续很长时间,特别是当我们

将它们与数字基础设施

和硬件

燃煤电厂进行比较时,其

使用寿命超过 50 年

,这意味着

今天在亚洲建造的燃煤电厂可能

仍在运行 2070.

一辆即将下线的新型汽油车

可能会

在 20 年内

行驶 另一点是,在

处理现有资产的同时,我们还需要

迅速扩大现有

和新的清洁能源技术,这

是我认为数字化的领域

技术可以在加速创新周期方面发挥巨大作用,

通过

机器学习和

数字孪生等技术

到 2070 年实现净零排放 大约三分之一

的减排将来自

今天尚未商业化的技术

,到 2050 年几乎实现净零排放

一半的减排量

来自这些技术

以及

重工业和长途运输等难以减排的行业 rt

四分之三的减排量

来自这些早期阶段的技术,

因此总而言之,

作为个人研究人员和

从业人员,我们可以做很多事情来减少

我们数字活动的碳足迹,

但政府

可以通过强有力的

有利气候政策做更多事情 为了

确保数字技术有助于

加速气候行动,

作为个人,我们可以减少更换

设备的频率,

并尽可能在较小的屏幕上观看我们的节目

,我们可以在交通选择上做很多事情,

尤其是飞行

,当然还有我们的饮食,但我 认为

我们作为公民可以做的最重要的事情

是支持气候拥护者,无论

是通过投票

支持非政府组织还是从

负责任的

公司购买机器学习从业者和工程师

,在日常工作中你可以做很多事情

来减少 您自己的

排放量,还要弄清楚您的

技能如何帮助应对

其他部门的气候变化 ORS

政府或许可以

通过雄心勃勃和

具体的气候变化行动来发挥最大的作用,这些行动

鼓励永远的

技术,最后,

科技公司可以做很多事情,

不仅可以减少

自己的数据中心和产品的排放,

还可以弄清楚如何使用 他们的

尖端技术和大量

资源可加速全球清洁

能源

转型 数字

技术在帮助应对气候

危机方面具有很大潜力

,我们需要每个公民专家

公司

和政府尽自己的一份力量来帮助

确保更可持续的未来

谢谢