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Amid growing concerns over the impacts of climate change on worldwide water security, Bitcoin's water footprint has rapidly escalated in recent years. The water footprint of Bitcoin in 2021 significantly increased by 166% compared with 2020, from 591.2 to 1,573.7 GL. The water footprint per transaction processed on the Bitcoin blockchain for those years amounted to 5,231 and 16,279 L, respectively. As of 2023, Bitcoin's annual water footprint may equal 2,237 GL. To address this increasing water footprint, miners could apply immersion cooling and consider using power sources that do not require freshwater. A change in the Bitcoin software could also significantly reduce the network's water footprint.
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Commentary
Bitcoin’s growing water footprint
Alex de Vries
1,2,3,
*
1
School of Business and Economics, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
2
Founder of Digiconomist, Almere, the Netherlands
3
De Nederlandsche Bank, Amsterdam, the Netherlands
*Correspondence: alex@digiconomist.net
https://doi.org/10.1016/j.crsus.2023.100004
SUMMARY
Amid growing concerns over the impacts of climate change on worldwide water security, Bitcoin’s water
footprint has rapidly escalated in recent years. The water footprint of Bitcoin in 2021 significantly increased
by 166% compared with 2020, from 591.2 to 1,573.7 GL. The water footprint per transaction processed on the
Bitcoin blockchain for those years amounted to 5,231 and 16,279 L, respectively. As of 2023, Bitcoin’s annual
water footprint may equal 2,237 GL. To address this increasing water footprint, miners could apply immersion
cooling and consider using power sources that do not require freshwater. A change in the Bitcoin software
could also significantly reduce the network’s water footprint.
INTRODUCTION
In 2021, Greenidge Generation, a Bitcoin-
mining and power-generation company
gained global attention for allegedly dis-
charging large volumes of hot water into
New York’s Seneca Lake. The company
had repurposed a once-abandoned po-
wer plant for Bitcoin mining in 2019, lead-
ing to increased carbon emissions and
water usage. Residents raised concerns
that the warm water discharges were
heating Seneca Lake to beyond state
water-quality standards. In 2023, environ-
mental groups sued Greenidge Genera-
tion for violating the Clean Water Act and
other environmental regulations, though
this lawsuit was dismissed in the same
year.
1
Despite this high-profile case and the
looming threat of a global water crisis,
2
the water usage of the Bitcoin-mining
network has remained relatively underre-
ported. Academic research on the envi-
ronmental impact of Bitcoin mining has
primarily focused on the network’s energy
consumption, carbon footprint, and elec-
tronic waste generation.
3
Between 2 and
3 billion people worldwide already experi-
ence water shortages, which is expected
to worsen in the coming decades. Due to
growing international concerns around
drinking water availability, it is crucial to
understand the water footprint of Bitcoin
mining and its potential impact. Siddik
et al.
4
estimate that Bitcoin mining
was responsible for consuming 1,572.3
gigaliters (GL) of water in 2021. A better
understanding of the Bitcoin water foot-
print will help facilitate the development
of a responsible approach to manage
the limited freshwater supply. This com-
mentary analyzes the time period of
September 2019 to March 2023 to provide
insights into the evolving water footprint of
Bitcoin mining and the different ways in
which Bitcoin miners consume water.
Quantifying Bitcoin’s water
footprint
Bitcoin mining is an energy-intensive pro-
cess that contributes to the creation of
new blocks of transactions in Bitcoin’s
underlying blockchain. Mining resembles
a numeric guessing game in which the
first miner who guesses a certain winning
number gets to create the next block for
the blockchain. The only way to obtain
this winning number is through a process
of trial and error, with the whole Bitcoin
network generating approximately 350
quintillion guesses every second of the
day as of May 2023.
5
Even so, it typically
takes 10 min, on average, to create a
new block. The Bitcoin software has
a built-in mining difficulty adjustment
mechanism that keeps the issuance
rate steady. Each newly created block
pays out a reward of 6.25 newly min-
ted Bitcoins, valued at approximately
$180,000 USD as of May 2023,
5
which
acts as an incentive to participate in the
block-creation process. Because only
the winners of the guessing game get re-
warded, this process is highly competi-
tive. The Bitcoin-mining network consists
of millions of specialized devices world-
wide, primarily located in the US, China,
and Kazakhstan.
6
These devices all
compete for the available rewards and
consume substantial amounts of elec-
tricity, with an estimated power demand
of 16.2 gigawatts (GW) as of March 2023.
7
In addition to electricity, Bitcoin miners
also require water, which is utilized in two
main ways. The first involves onsite
(direct) water use for cooling systems
and air humidification. Water usage de-
pends on cooling system types and local
climate conditions. It is important to
differentiate between water withdrawal
and water consumption in terms of this
usage. Water withdrawal pertains to
the water taken from surface water or
groundwater sources, while water con-
sumption refers to the portion of water
that becomes unavailable for reuse after
withdrawal, primarily due to evaporation
in cooling systems. Water consumption
is not extensively studied in Bitcoin mining
or generic data center research, as reli-
able data on water consumption factors
are challenging to obtain.
The second way in which miners use
water relates to the (indirect) water con-
sumption associated with generating the
electricity necessary to power their de-
vices. Thermoelectric power generation
Cell Reports Sustainability 1, January 5, 2024 ª2023 The Author(s). 1
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j.crsus.2023.100004
plays a major role in water consumption,
as a portion of the withdrawn water for
cooling purposes evaporates (unless dry
cooling technologies utilizing air are em-
ployed). These systems can utilize both
freshwater and non-freshwater sources.
This commentary, however, exclusively
focuses on freshwater consumption. Hy-
dropower generation generally consumes
even more water per kilowatt-hour (kWh)
generated, as water evaporates from the
hydropower reservoirs. However, these
reservoirs may serve purposes beyond
electricity generation; thus, this commen-
tary considers only the portion of water
loss attributable to power generation.
The total water footprint of Bitcoin exam-
ined in this commentary encompasses
the freshwater consumed due to both
direct and indirect water consumption dur-
ing the operational stage of Bitcoin mining
devices. The water consumption relating
to construction and manufacturing is not
considered, as it likely contributes little to
the full life-cycle footprint.
4
Indirect water footprint
The indirect water footprint of Bitcoin min-
ing is relatively straightforward to assess
as it relies on similar inputs as the analysis
of Bitcoin’s carbon footprint.
8
To deter-
mine the indirect water footprint, it is
important to establish the power demand
of the network and the power sources.
The Cambridge Centre for Alternative
Finance (CCAF) provides data on the po-
wer demand, spatial distribution of Bit-
coin mining, and electricity mix, which
are used to generate daily estimates of
the network’s carbon footprint.
6
To
calculate the water footprint instead of
the carbon footprint, these inputs are
combined with data on the water intensity
of electricity generation on a specific grid.
The water intensity is expressed in L of
freshwater consumption per kWh gener-
ated, which is also referred to as the
water consumption factor of electricity
generation.
By using the CCAF’s estimates on po-
wer demand and spatial distribution of
Bitcoin mining following the approach by
Siddik et al.
4
and using the same esti-
mated water consumption factors for
electricity generation per country, the
water footprint of Bitcoin in 2021 was
determined to be 1,573.7 GL (Data S1).
This estimate closely aligns with the esti-
mate of 1,572.3 GL by Siddik et al., with
the minor discrepancy attributed to the
exclusion of certain countries with a small
contribution to the total water footprint in
Siddik et al.’s study.
Because the CCAF has provided data
on the spatial distribution of Bitcoin miners
since late 2019, we can determine that the
water footprint of Bitcoin in 2021 signifi-
cantly increased by 166% compared
with 2020. In 2020, the network consumed
591.2 GL of water. Furthermore, the water
intensity of electricity consumed rose sh-
arply, from 8.63 L per kWh in 2020 to
15.0 in 2021, signifying a 74% increase.
Notably, the majority of this growth can
be attributed to increased mining activities
in Kazakhstan since late 2020 following
China’s ban on cryptocurrency mining in
spring 2021, which led to miners relocat-
ing. The water consumption by Bitcoin
miners in Kazakhstan alone amounted to
260.6 GL in 2020 and rose to 997.9 GL in
2021, a 283% increase. Consequently,
Kazakhstan accounted for 63% of the net-
work’s estimated water footprint in 2021.
Despite representing a limited share of
the total computational power in the Bit-
coin network (around 14% by the end of
2021) and having hydropower only play a
minor role in electricity generation, Ka-
zakhstan’s high water intensity in elec-
tricity generation amplifies its impact on
the network’s water footprint. Notably,
the spatial distribution of Bitcoin miners
provided by the CCAF has some uncer-
tainty as the underlying sample represents
only 44% of the global total computational
power in the Bitcoin network. However, an
internet outage in Kazakhstan in January
2022 served to confirm the nation’s share
of the network.
8
Figure 1 presents the estimated monthly
and annual (indirect) water consumption
of Bitcoin miners since late 2019 along
with their spatial distribution in 2021.
Although estimates on the spatial distribu-
tion are available until January 2022, the
water footprint of Bitcoin may have
continued to rise beyond that date. The
estimated power demand of the Bitcoin
network reached a new all-time high in
March 2023,
7
suggesting an annualized
total electricity consumption of 141.9 tera-
watt-hours (TWh). This represents a 35%
increase compared with the total esti-
mated electricity consumption of 104.9
TWh in 2021 (Data S1, sheet 4). Conse-
quently, the water footprint of Bitcoin
may have increased by a similar magni-
tude. Assuming a constant water intensity
of electricity consumption (15.76 L per
kWh) since January 2022, 141.9 TWh of
electrical energy consumption could
result in a water footprint of 2,237 GL
(Data S1, sheet 4). With the network
handling 113 million transactions in 2020
and 96.7 million in 2021, the water foot-
print per transaction processed on the Bit-
coin blockchain for those years amounted
to 5,231 and 16,279 L, respectively.
Direct water footprint
To determine the direct water footprint of
Bitcoin miners, it is required to assess the
ratio between the on-site water consump-
tion of data centers (for cooling systems
and air humidification) and the energy
consumption of their equipment. This ra-
tio is expressed in L per kWh of electricity
consumed and known as the water usage
effectiveness (WUE). However, there is
almost no public information available
that can help quantify the WUE of crypto-
currency-mining facilities.
To obtain an estimate of the WUE of Bit-
coin miners, it is possible to use research
by Lei and Masanet,
9
who investigated
the WUE of various sizes of data centers
in different climate zones in the US. This
information can be combined with a list
of large-scale miners within the US, iden-
tified by the New York Times and pub-
lished in April 2023.
10
This list includes
34 Bitcoin mines, with the power require-
ment for each mine ranging from 38 to 450
megawatts (MW) as of March 2023.
Together, these 34 mines are responsible
for 3.91 GW of power demand, represent-
ing roughly a quarter of Bitcoin’s total esti-
mated power demand in the same month
(i.e., 16.2 GW
7
) and a majority of the share
that can be attributed to the US according
to the CCAF (i.e., 37.84% as of January
2022
6
).
By assuming the WUE of large-scale
US miners identified by the New York
Times corresponds to that of large-scale
data centers in their respective climate
zones defined by Lei and Masanet, it
can be established that the weighted
average WUE for Bitcoin miners in the
US ranges from 0.25 to 1.03 L per kWh
(Data S1, sheet 3). Given this range, the
total direct water footprint for US miners
could be 8.6–35.1 GL.
2Cell Reports Sustainability 1, January 5, 2024
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OPEN ACCESS Commentary
Total water footprint
This list of identified miners by the
New York Times can be combined with
regional water intensity factors of gener-
ating electricity in the US (Lee et al.
11
)to
find that the total capacity of these miners
could result in an annual indirect water
footprint of at least 84.9 GL in 2023 (not
including smaller and/or unidentified
miners), up from an estimated 70.9 GL in
2021 and 12.9 GL in 2020 (Data S1,
sheets 3 and 4). This means the total wa-
ter footprint of US Bitcoin miners, after
adding their direct water consumption,
could be an annual 93–120 GL, which
is 10%–41% more than the estimated
indirect water consumption of 84.9 GL
per year. It also means the total water
footprint of US Bitcoin miners could be
equivalent to the average annual water
consumption of around 300,000 US
households, comparable with a city such
as Washington, DC. Figure 2 shows a
breakdown of the spatial distribution of
Bitcoin’s total water footprint in the US.
It is important to note that the estimated
range for the WUE of Bitcoin miners in
this commentary is based solely on a list
of identified large-scale miners, whereas
even the smallest mining facility on the
New York Times list occupies approxi-
mately 100,000 square feet. Lei and Ma-
sanet show that smaller data centers,
occupying less than 20,000 square feet,
tend to have a higher WUE. It is not un-
likely that this could also apply to smaller
cryptocurrency-mining facilities, which
means the estimated WUE in this com-
mentary may be overly optimistic due
to the inclusion of only large-scale fa-
cilities.
There are upcoming developments that
may impact the WUE of Bitcoin mining.
Riot Platforms is reportedly building a fa-
cility in Texas that will require 1.4 million
gallons (5.3 million L) of water daily while
operating on 1 GW of electricity.
12
Once
completed, this facility would become
the largest Bitcoin mine in the US, with a
power demand more than double that of
the largest Bitcoin mine.
10
The WUE of
this facility would be just 0.22 L per kWh,
aligning with the best-case scenario for
the estimated WUE of Bitcoin miners. It
remains to be seen whether this WUE
can be achieved, but it has the potential
to lower the average WUE of US Bitcoin
miners from 0.25–1.03 to 0.24–0.86 L
per kWh. It should be noted that the
completion of this project would still in-
crease both the direct and indirect water
footprint of Bitcoin miners in the US. The
indirect water footprint of US Bitcoin
miners would increase by 30%, from
84.9 to 110.7 GL of annual water con-
sumption, while the direct water footprint
would increase from an annual range of
8.6–35.1 to 10.5–37.1 GL (Data S1, sheet
5). Consequently, the total water footprint
of US Bitcoin miners would range from
121.2–147.8 GL compared with an esti-
mated annual range of 93–120 GL prior
to the completion of this project.
IMPACT AND SOLUTION
Bitcoin’s expanding water footprint must
be considered in the context of escalating
water scarcity. Central Asia, including
Kazakhstan, is already facing a severe
water crisis.
13
The estimated water foot-
print of Bitcoin mining in Kazakhstan
alone was 997.9 GL in 2021, while the na-
tion’s capital could face a water shortage
of 75 GL per year by 2030.
14
Without con-
straints, Bitcoin mining could worsen con-
flicts over freshwater resources that the
region is already experiencing. Kazakh-
stan’s president signed legislation in
early 2023 to restrict the power demand
of cryptocurrency miners due to strain
on the local grid. However, renewable
energy usage remains exempt from these
limitations.
Figure 1. Development of Bitcoin’s indirect water footprint from September 2019 to January
2022
(A) Indirect water consumption of worldwide Bitcoin miners from September 2019 to January 2022,
including the cumulative total indirect water consumption for 2020 and 2021 and the estimated annualized
total indirect water consumption as of March 2023. These totals are shown including and excluding
Kazakhstan (KZ).
(B) Indirect water consumption of Bitcoin miners by country in 2021.
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Commentary
The US is also grappling with water
scarcity, particularly in the western states,
where a water crisis has emerged. In
2022, southern California urged residents
to reduce water consumption, and as hu-
man-induced climate change intensifies,
water shortages may further impact drink-
ing water access and agricultural yields.
In this context, Bitcoin’s growing
water footprint is a concerning develop-
ment. However, there are various ways
to reduce the water consumption of
Bitcoin miners. Miners can choose loca-
tions with favorable climate conditions to
minimize direct water consumption.
Immersing mining devices in a dielectric
fluid can also provide cooling without
relying on water. Furthermore, indirect
water consumption can be reduced by
using power sources that do not require
freshwater. Wind and solar power genera-
tion, as well as thermoelectric power
generation with dry cooling technologies,
can be utilized. Non-freshwater sources
can also be used for cooling systems,
as demonstrated by the extensive use
of once-through cooling systems with
non-freshwater along the US coastline.
11
However, while these options can miti-
gate freshwater consumption, they may
not address concerns such as electronic
waste generation and carbon emissions.
Ethereum, the second-largest crypto-
currency by market capitalization, demon-
strated in 2022 that the resource intensity
of cryptocurrencies can be reduced by
modifying the underlying software. Prior
to September 2022, Ethereum used the
same energy-intensive mining process as
Bitcoin. The total power demand of the
Ethereum mining network at this time
may have been responsible for an environ-
mental impact equivalent to half of Bit-
coin’s. However, a new upgrade was intro-
duced in Ethereum in September 2022
that replaced mining with an alternative
mechanism known as proof of stake
(PoS), which meant the right to create
new blocks for the underlying blockchain
was no longer earned through computa-
tional effort. Implementing PoS reduced
Ethereum’s power demand by at least
99.84%.
15
Implementing PoS in Bitcoin
could have a similar impact on the net-
work’s energy and water footprint. How-
ever, the Bitcoin community is reluctant
to make such changes to the software as
they affect the network beyond resource
intensity.
15
In the US, Bitcoin miners are facing
increased pressure to disclose more
information about their environmental
impact. US lawmakers have introduced
the Crypto-Asset Environmental Trans-
parency Act, which seeks to mandate
emissions disclosure by cryptocurrency-
mining operations.
16
Similar disclosure
requirements could be extended to water
usage by cryptocurrency miners, aiding in
the understanding of the water footprint of
the industry. Meta, a technology com-
pany, already discloses the water require-
ments of its data centers, serving as a po-
tential blueprint for US Bitcoin miners.
Other nations may need to consider
similar legislation, as the majority of Bit-
coin mining worldwide still takes place
outside of the US.
SUPPLEMENTAL INFORMATION
Supplemental information can be found online at
https://doi.org/10.1016/j.crsus.2023.100004.
DECLARATION OF INTERESTS
The authors declare no competing interests.
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Figure 2. Regional water footprint of Bitcoin miners in the United States
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4Cell Reports Sustainability 1, January 5, 2024
Please cite this article in press as: de Vries, Bitcoin’s growing water footprint, Cell Reports Sustainability (2024), https://doi.org/10.1016/
j.crsus.2023.100004
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OPEN ACCESS Commentary
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Commentary
... One of the main criticisms of Bitcoin is its significant energy consumption, primarily due to the process of mining, where powerful computers solve complex mathematical problems to validate transactions on the blockchain (Vries, 2020). The energy-intensive nature of Bitcoin (BTC hereafter) mining has raised concerns about its environmental impact, particularly in terms of carbon emissions (Stoll et al., 2019) and water footprints (Vries, 2024). In contrast, the blue-green economy emphasizes the transition to renewable energy sources and energy efficiency. ...
... In contrast, the blue-green economy emphasizes the transition to renewable energy sources and energy efficiency. Some argue that the energy consumption associated with Bitcoin mining runs counter to the goals of sustainability promoted by the blue-green economy (Vries, 2024). ...
... Existing studies are indicating that the rate of Bitcoin adoption could create electricity consumption responsible for a hike in global temperature above 2°C in a few decades (Asumadu et al., 2023). Bitcoin's water consumption (although it does not require freshwater) went from 591 GL in 2020 to 2237 GL in 2023, which is nearly 279% more (Vries, 2024). Bitcoin requires the water mostly for cooling systems and air humidification process. ...
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... As of Dеcеmbеr 4, 2023, BTC holds a commanding position in thе cryptocurrеncy sеctor, accounting for 53% of thе markеt sharе, which is valuеd at a staggеring USD 814 billion (https://coinmarketcap.com/). In ordеr to еxpand thе еxtеnsivе BTC industry, wе havе sеlеctеd BTC duе to its uniquе data on еnеrgy usе and watеr footprint 12,38 . Moreover, we have calculated the energy transition based on the percentage of renewable energy, with coal and natural gas representing over 95% of the energy sources 1 . ...
... Highеr lеvеls of watеr consumption in thеsе rеgions could lеad to conflicts ovеr watеr rеsourcеs and еxacеrbatе local еnvironmеntal issuеs. The findings corroborate the prior study 12,38 . Nonetheless, this impact diminishes in intensity concerning the green patent. ...
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This study investigates the impact of Bitcoin’s energy and water consumption on environmental sustainability, focusing on the load capacity factor (LCF) and the roles of energy transition green technology in major cryptocurrency-producing nations. Utilizing the method of moments quantile regression (MMQR) approach, the findings reveal a negative impact of mining energy consumption on environmental sustainability, particularly in the lower quantiles, with a stronger negative effect in the higher quantiles. Energy transition plays a critical role in moderating this impact, though the shift towards cleaner energy sources has not been sufficient to mitigate the adverse environmental effects. The water footprint has limited influence on LCF across upper and lower quantiles. Moreover, the results do not support the LCF hypothesis. An increase in mining activity leads to a rise in LCF, while this effect turns negative in the 90th quantile. These findings underscore the importance of energy transition in reducing Bitcoin’s environmental footprint and emphasize the need for policymakers to swiftly enact regulations and foster innovative technologies to promote environmentally sustainable digital currencies while providing valuable insights into water resource management.
... Despite its ability to withstand the 51% attack and Sybil attack, the PoW algorithm consumes a significant amount of computing power, necessitates high resources, exhibits slow transaction processing efficiency, and contributes to increased carbon emissions and water consumption. Estimates suggest that Bitcoin mining consumed 1573.7 gigalitres of water in 2021, in addition to electronic waste, amidst growing concerns over the impacts of climate change [36]. Figure 9 shows a mechanism for creating blocks and verifying their validity based on PoW consensus. ...
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Blockchain has revolutionized cryptocurrency since the advent of Bitcoin. Due to its decentralized nature, transparency, security measures, and ability to conduct transactions between untrusted parties, blockchain has received extensive attention recently. Consensus algorithms manage the blockchain and describe how peers achieve data consistency and integration. However, other hurdles persist for blockchain systems, including scalability and energy consumption, and they require to be overcome. The paper introduces a comprehensive overview of distributed ledger technologies (DLTs) with a deeper understanding of the blockchain. Moreover, we conduct a comparative analysis of the most widespread consensus mechanisms using various metrics. And briefly list potential threats, applications across several fields, and possible future directions.
... For instance, nuclear energy is known to affect ionizing radiation [73], biomass-sourced energy significantly contributes to land occupation [74,75], thermoelectric plants, especially if carbon sources, emit consistent amounts of particulate matter [76], and so on. Annual bitcoin water footprint may have reached 2237·GL in 2023 [77],with land footprint and annual e-waste production of 1869.69 km 2 in 2020-2021 [23], and about 31 kt as of May 2021 [78], respectively. In addition, the nexus between resources with a focus on water and energy (i.e., the water-energy nexus) [79][80][81] and land and mineral exploitation [82] related to Bitcoin mining can be outlined for future works. ...
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The environmental impact of Bitcoin mining has raised severe concerns considering the expected growth of 30% by 2030. This study aimed to develop a Life Cycle Assessment model to determine the carbon dioxide equivalent emissions associated with Bitcoin mining, considering material requirements and energy demand. By applying the impact assessment method IPCC 2021 GWP (100 years), the GHG emissions associated with electricity consumption were estimated at 51.7 Mt CO2 eq/year in 2022 and calculated by modelling real national mixes referring to the geographical area where mining takes place, allowing for the determination of the environmental impacts in a site-specific way. The estimated impacts were then adjusted to future energy projections (2030 and 2050), by modelling electricity mixes coherently with the spatial distribution of mining activities, the related national targeted goals, the increasing demand for electricity for hashrate and the capability of the systems to recover the heat generated in the mining phase. Further projections for 2030, based on two extrapolated energy consumption models, were also determined. The outcomes reveal that, in relation to the considered scenarios and their associated assumptions, breakeven points where the increase in energy consumption associated with mining nullifies the increase in the renewable energy share within the energy mix exist. The amount of amine-based sorbents hypothetically needed to capture the total CO2 equivalent emitted directly and indirectly for Bitcoin mining reaches up to almost 12 Bt. Further developments of the present work would rely on more reliable data related to future energy projections and the geographical distribution of miners, as well as an extension of the environmental categories analyzed. The Life Cycle Assessment methodology represents a valid tool to support policies and decision makers.
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Introduction. The development of blockchain networks using the Proof-of-Work (PoW) consensus mechanism is accompanied by a significant environmental impact due to the high energy consumption of mining equipment. This poses serious challenges to achieving the goals of sustainable development and combating climate change. The results of the study can serve as a basis for the development of energy-efficient solutions and regulatory approaches aimed at reducing the environmental footprint of blockchain technologies. Methods. General scientific research methods and special methods were used during the study, in particular: induction and deduction - at the stage of collecting primary data and analysing it, comparative (to compare the electricity consumption of the blockchain network and individual countries), abstract and logical - in the process of formulating conclusions, descriptive and analytical, creative and critical, graphical (to analyse the dynamics of the Bitcoin price, the network hash rate, the number of active addresses, and economic analysis. Results. The dynamics of the Bitcoin blockchain network hashrate from 2017 to 2025 is studied in detail and periods of a sharp drop in total computing power are identified, as well as the main factors that led to this. The dynamics of energy consumption by the Bitcoin network is analysed and CO₂ emissions by different countries in 2024 are calculated depending on their share in the total hash rate of the network. The countries that produce less pollution per 1% of the network's hash rate are identified in comparison with others. The inefficiency of electricity consumption for the annual maintenance of active payment addresses and the need for urgent intervention by the international community to prevent significant environmental consequences are substantiated. As a result of the conducted analysis of technical limitations of the proof-of-work (PoW) consensus mechanism, the existing problem of its high energy consumption is revealed. As a result of the made calculations of the carbon footprint generated by the process of mining new blockchain blocks in the countries with the largest share in the total hashrate, the author identifies and argues for the urgent need to create a coordinated intergovernmental policy to regulate and reduce environmental damage caused by mining activities. Discussion. The main findings of the study contribute to the understanding of environmental risks of the Proof-of-Work (PoW) consensus mechanism and can be useful for environmental organizations at various levels. The calculations made on the energy consumption of the Bitcoin blockchain system can be used to substantiate the need for more transparent block mining and the transition to renewable energy sources. Given the growth in energy consumption and environmental threats, the study emphasizes the importance of a coordinated policy of the countries with the largest share in the hashrate to minimize the negative impact of mining. The results of the work can become the basis for further scientific research on the carbon and water footprint of mining as a type of economic activity. Keywords: blockchain, carbon footprint, proof-of-work, hashrate, water footprint, blockchain trilemma, decentralization, scalability, mining.
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This article examines the role of central bank digital currencies (CBDCs) in the context of central banks' efforts to green the financial system. It underscores the importance of CBDC design, particularly cautioning against the use of blockchain technology due to its energy-intensive nature. The argument posits that a conventional database is a more environmentally sustainable choice for CBDCs. The article provides a structured discussion on the background, theoretical considerations, climate-friendly interventions, and the potential impact of CBDCs. It aims to contribute to the ongoing debate by emphasizing the need for clear design choices in CBDC discussions, given the environmental concerns associated with certain technologies.
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The Bitcoin network imposes significant external costs on society, including high CO2-emissions and electronic waste, which rival those of entire nations. However, some studies argue that these externalities are justifiable, claiming that cryptocurrency mining thrives sustainable energy production by monetizing surplus energy. We examine this trade-off from an economic standpoint, addressing three key questions: Does the use of surplus energy mitigate Bitcoin’s externalities? Are policy interventions such as carbon credits effective? And does cryptocurrency mining ultimately benefit or harm society? Our model shows that while surplus energy lowers the network’s CO2-emissions, it simultaneously incentivizes increased mining activity, leading to greater e-waste that may offset environmental gains. Moreover, we find that carbon credits, when implemented multilaterally, can effectively reduce total externalities. We conclude with a discussion of the broader societal implications, emphasizing the dual role of Bitcoin mining in fostering the short-term transition but hindering the long-term transition to a sustainable energy system.
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Amid the current climate emergency and global energy crisis, regulators have started to consider their options to limit the power demand of cryptocurrency networks. One specific way crypto-asset communities can limit their environmental impact is by avoiding or replacing the energy-intensive proof-of-work (PoW) mining mechanism. Ethereum, the second largest crypto-asset by market capitalization, had its PoW replaced with an alternative known as proof-of-stake during an event called The Merge on September 15, 2022. In this perspective, the likely range of electricity saved due to this change is estimated, while the limitations in assessing these figures are highlighted. Lastly, the challenges and opportunities in replicating The Merge on other cryptocurrencies such as Bitcoin are discussed.
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In the Spring of 2021, the mining crackdown in China shook up global Bitcoin mining activity. We show that this crackdown may have reduced the use of renewable electricity sources for Bitcoin mining, resulting in increased carbon intensity of mining activities. We estimate that Bitcoin mining may beresponsible for 65.4 MtCO2 annually, which is comparable to country-level emissions in Greece.
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The controversies surrounding Bitcoin, one of the most frequently used and advertised cryptocurrency, are focused on identifying its qualities, the advantages and disadvantages of using it and, last but not least, its ability to survive over time and become a viable alternative to the traditional currency, taking into account the effects on the environment of the technology used to extract and trade it. Based on such considerations, this article aims to provide an overview of this cryptocurrency, from the perspective of conducting a systematic review of the literature dedicated to the economic and environmental impact of Bitcoin. Using peer-reviewed articles collected from academic databases, we aimed at synthesizing and critically evaluating the points of view in the scientific literature regarding the doctrinal source of the emergence of Bitcoin, the identity of this cryptocurrency from an economic point of view, following its implications on the economic and social environment. Subsequently, this research offers the opportunity of evaluating the level of knowledge considering the impact of Bitcoin mining process on the environment from the perspective of the energy consumption and CO2 emissions, in order to finally analyze Bitcoin regulation and identify possible solutions to reduce the negative impact on the environment and beyond. The findings suggest that, despite high energy consumption and adverse environmental impact, Bitcoin continues to be an instrument used in the economic environment for a variety of purposes. Moreover, the trend of regulating it in various countries shows that the use of Bitcoin is beginning to gain some legitimacy, despite criticism against this cryptocurrency.
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Central Asia (CA) is one of the most severe water crisis areas on earth, which has seriously limited the achievement of sustainable development goals (SDGs) in the region. However, a multi-perspective analysis on the process and driving factors of the water crisis in CA has not been conducted. Therefore, we assess the water crisis from multiple perspectives using the water stress index (WSI), safe drinking water and water pollution indicators, and quantitatively analyze the impact of climate change, population growth, poverty, urbanization and transboundary river management on the water crisis. Results show that the water crisis in CA is intensifying. Uzbekistan and Turkmenistan belong to the “severe water stress” category, and the WSIs are increasing in both countries. Tajikistan is classified as “high water stress”. Kyrgyzstan and Kazakhstan both exhibit “moderate water stress”. Moreover, the proportion of the rural population with access to safe drinking water is significantly lower than that of the urban population in all the CA countries. The impact of human activities on water crisis in CA is more significant than that of climatic factors. Both cultivated land area and population are significant factors affecting the water crisis in CA (p < 0.05), with the regression coefficients of 0.62 and 1.62, respectively. Our research provides an essential reference for the sustainable management of water resources and warns that the water security situation in CA will worsen if no effective action is taken.
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The water use of data centers (DCs) is becoming an increasingly important consideration for sustainability analysts, but has been difficult to quantify due to lack of reported data by DC operators. This work develops thermodynamically-compatible water use effectiveness (WUE) and power usage effectiveness (PUE) ranges needed for direct and indirect water use analysis for 10 different DC archetypes in 15 U.S. climate zones, using a hybrid physical-statistical approach that is validated with real-world data. The ranges further capture variabilities between best and poor DC efficiency practices, showing that PUE and WUE values can have relative difference as much as 62% and 100% respectively, depending on cooling technologies, efficiencies, and locations. PUE results indicate significant climate effects, whereas WUE results indicate the strongest climate effects for airside economizers with either adiabatic or water-cooled chiller systems. Collectively, the results underscore the importance of considering technology, efficiency, and climate effects when estimating PUE and WUE for direct and indirect DC water use analysis. Results also identify variables leading to best-achievable PUE and WUE values by climate zone and cooling system type—including operational set points, use of free cooling, and cooling tower equipment and operational factors—which can support DC water- and energy-efficiency policy initiatives.
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Water is an essential resource for most electric power generation technologies. Thermal power plants typically require a large amount of cooling water whose evaporation is regarded to be consumed. Hydropower plants result in evaporative water loss from the large surface areas of the storing reservoirs. This study estimated the regional water consumption factors (WCFs) for thermal and hydro electricity generation in the United States, because the WCFs of these power plants vary by region and water supply and demand balance are of concern in many regions. For hydropower, total WCFs were calculated using a reservoir’s surface area, state-level water evaporation, and background evapotranspiration. Then, for a multipurpose reservoir, a fraction of its WCF was allocated to hydropower generation based on the share of the economic valuation of hydroelectricity among benefits from all purposes of the reservoir. For thermal power plants, the variations in WCFs by type of cooling technology, prime mover technology, and by region were addressed. The results show that WCFs for electricity generation vary significantly by region. The generation-weighted average WCFs of thermoelectricity and hydropower are 1.25 (range of 0.18–2.0) and 16.8 (range of 0.67–1194) L/kWh, respectively, and the generation-weighted average WCF by the U.S. generation mix in 2015 is estimated at 2.18 L/kWh.
Lawsuit filed against Greenidge Generation on behalf of local non-profits dismissed
  • Weny News
Weny News (2023). Lawsuit filed against Greenidge Generation on behalf of local non-profits dismissed. https://www.weny. com/story/49490746/lawsuit-filed-againstgreenidge-generation-on-behalf-of-localnonprofits-dismissed.
Imminent risk of a global water crisis, warns the UN World Water Development Report
UNESCO (2023). Imminent risk of a global water crisis, warns the UN World Water Development Report 2023. https://www.unesco.org/ en/articles/imminent-risk-global-water-crisiswarns-un-world-water-development-report-2023.
Bitcoin Is Consuming More Energy Than Ever
  • Barron
Barron's (2023). Bitcoin Is Consuming More Energy Than Ever. Rising Crypto Prices Aren't All Good. https://www.barrons.com/articles/ bitcoin-energy-crypto-prices-1eb8f97f.