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American Focus > Blog > Environment > Amazon says it’s going ‘water positive’ — but there’s a problem
Environment

Amazon says it’s going ‘water positive’ — but there’s a problem

Last updated: August 29, 2024 3:44 am
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Amazon says it’s going ‘water positive’ — but there’s a problem
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Amazon’s Move to Conserve Water in Chile Amid Data Center Expansion

Earlier this year, Amazon, the e-commerce giant, received approval to establish two new data centers in Santiago, Chile. This $400 million investment marks Amazon’s first venture into locating its data facilities in Latin America, a region known for its water scarcity. The move has raised concerns among residents who have protested against the industry’s expansion, given the significant water and electricity requirements of data centers for powering cloud computing services and online programs.

In response to these concerns, Amazon recently announced a separate but related initiative to invest in water conservation along the Maipo River, the primary water source for the Santiago region. The company plans to collaborate with a water technology startup to assist farmers along the river in installing drip irrigation systems on 165 acres of farmland. This project is expected to save enough water to supply approximately 300 homes annually and forms part of Amazon’s goal to become “water positive” by 2030, meaning the company aims to conserve or replenish more water than it consumes.

The decision to focus on water conservation is strategic, given the substantial water requirements of data centers for cooling servers. Amazon intends to invest $100 billion in expanding its data centers over the next decade, primarily to support its Amazon Web Services cloud-computing platform. Other tech giants like Microsoft and Meta, also heavily investing in data centers to support artificial intelligence advancements, have made similar commitments to water conservation in response to growing concerns about the sector’s environmental impact.

While Amazon claims that its data centers are among the most water-efficient in the industry, experts caution that water conservation efforts alone may not address the underlying strain on electricity grids. Data centers rely on water for cooling servers, which generate significant heat while processing large amounts of data. Additionally, these facilities consume substantial electricity to power their operations, contributing to around 3 percent of the U.S. power demand, a figure projected to double by 2030.

Will Hewes, responsible for water sustainability at Amazon Web Services, emphasized the company’s use of water for cooling as a means to reduce energy-intensive air conditioning units and reliance on fossil fuels. However, the water consumption of data centers remains a significant concern, with estimates suggesting that U.S. data centers consumed hundreds of thousands of acre-feet of water in 2018, even before the AI boom.

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While Amazon has implemented evaporative cooling systems in most of its data centers to reduce water usage, the overall water consumption by the tech industry remains substantial. As companies continue to build more data centers to support AI advancements, the environmental impact of these facilities, including water usage, will likely escalate.

In conclusion, Amazon’s commitment to water conservation in Chile reflects a growing awareness of the environmental challenges posed by data center operations. While water-saving initiatives are essential, addressing the broader impact of data centers on water and electricity resources will require a comprehensive approach from tech companies to mitigate their environmental footprint. Recent studies have brought to light the concerning issue of data center water consumption in the U.S., revealing that it is disproportionately concentrated in water-stressed subbasins, particularly in regions like the Southwest. However, major tech giant Amazon has strategically positioned a significant portion of its data centers in areas farther east, with a notable concentration in Virginia. This decision is largely influenced by factors such as affordable power and financial incentives for tech companies in the region.

According to Hewes, a spokesperson for Amazon, the company’s choice of data center locations is driven by customer demands, as well as considerations such as real estate costs and power availability. Virginia and Ohio, despite experiencing hot summers, offer periods where water for cooling is not required. Nevertheless, Amazon’s rapid expansion in Virginia has raised concerns regarding water availability in the region.

To address the environmental impacts of its operations, Amazon has initiated various conservation and recharge projects worldwide. For instance, the company donates recycled water from its data centers to support agricultural irrigation and has contributed to river restoration efforts in water-stressed cities like Cape Town. In northern Virginia, Amazon has implemented cover crop farming to reduce runoff pollution in local water bodies. These initiatives are akin to carbon offsets, with Amazon aiming to be “water positive” by funding projects that conserve or recharge more water than it consumes.

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However, it is important to note that Amazon’s water stewardship goal does not encompass the water consumption associated with the power plants supplying its data centers. Research indicates that the secondary water usage linked to power generation can exceed on-site water consumption by a significant margin. For instance, an Amazon data center in Pennsylvania relies on a nearby nuclear power plant for energy, resulting in substantial water evaporation during power generation.

While Amazon is striving to operate on 100% renewable energy to reduce water and energy consumption, challenges persist due to the need for continuous power supply at data centers. Renewable sources like solar and wind farms, which are intermittent, have limitations in meeting the round-the-clock power demands of data centers. Additionally, other data center firms, such as CyrusOne, have also acknowledged the substantial water usage associated with sourcing power from grid electricity.

Despite Amazon’s efforts to fund replenishment projects in water-stressed regions, there are concerns about the localized impacts of data center water consumption. Replenishment projects may not fully offset the water withdrawals made by data centers and their associated power plants in specific watersheds. Water scarcity is a regional issue that requires targeted solutions to address the actual consumption and depletion of water resources.

In conclusion, while Amazon and other tech companies are making strides towards sustainability and water conservation, there is a need for greater transparency and comprehensive approaches to mitigate the environmental impact of data center operations. Collaboration with local communities and stakeholders is essential to ensure responsible water management practices in the rapidly expanding data center industry. The world of technology is constantly evolving, with new innovations and advancements being made every day. One of the most exciting developments in recent years is the rise of artificial intelligence (AI) and machine learning. These technologies have the potential to revolutionize how we live and work, and are already being used in a wide range of industries, from healthcare to finance to transportation.

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One area where AI and machine learning are having a major impact is in the field of healthcare. These technologies have the potential to revolutionize the way we diagnose and treat diseases, making healthcare more efficient and effective. For example, AI algorithms can analyze large amounts of medical data to help doctors make more accurate diagnoses and treatment plans. They can also be used to predict which patients are at risk of developing certain conditions, allowing for earlier intervention and better outcomes.

In addition to improving patient care, AI and machine learning are also being used to streamline administrative tasks in healthcare. For example, these technologies can help hospitals and clinics better manage their resources, optimize scheduling, and reduce wait times for patients. This not only improves the patient experience, but also saves time and money for healthcare providers.

AI and machine learning are also being used in the finance industry to detect fraudulent activity, predict market trends, and automate trading processes. These technologies can analyze vast amounts of financial data in real time, allowing for faster and more accurate decision-making. This can help financial institutions reduce risk, improve efficiency, and provide better service to their customers.

In the transportation industry, AI and machine learning are being used to improve safety, efficiency, and sustainability. For example, self-driving cars use AI algorithms to navigate roads and avoid collisions, while predictive maintenance systems use machine learning to identify potential issues before they occur. These technologies have the potential to revolutionize the way we travel, making it safer, more convenient, and more environmentally friendly.

Overall, AI and machine learning have the potential to revolutionize a wide range of industries, from healthcare to finance to transportation. These technologies have the power to improve efficiency, accuracy, and innovation, leading to better outcomes for businesses and consumers alike. As these technologies continue to evolve, we can expect to see even more exciting advancements in the years to come.

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