数据中心已将公众电费推高了230亿美元。
Data centers have hiked electricity prices on the public by $23B

原始链接: https://fortune.com/2026/07/14/data-centers-23-billion-electricity-bills/

耗电量巨大的数据中心正飞速增长,对电费造成了显著影响,PJM 市场近期 230 亿美元的价格上涨便是明证。公用事业费率的制定是一个复杂的过程,监管机构必须在各类用户群体之间分配基础设施成本,例如电网升级费用。 虽然从理论上讲,成本应由造成该成本的用户承担,但实际操作往往存在偏差。数据中心利用其调节能源消耗的能力,可以策略性地规避“峰值需求”费用,而这类费用通常才能体现用户对电网的真实影响。因此,这些成本往往被转嫁给其他用户共同分摊。 住宅用户尤为弱势,因为他们缺乏专门的权益保障。尽管行业团体和数据中心会聘请专家游说以维护自身利益,但消费者权益倡导者往往在法律上被禁止主张有利于特定群体的费率结构。此外,如果数据中心业绩不佳或被淘汰,住宅用户则需承担废弃基础设施的费用。为避免背负不公的负担,作者敦促公民积极参与监管程序,因为在复杂的成本分配过程中,公众利益往往得不到体现。

近期的一场 Hacker News 讨论聚焦于《财富》杂志的一篇报道,该报道称数据中心已导致公共电费支出增加了 230 亿美元。 评论者们针对这一价格变动背后的成因及其公平性展开了辩论。一些人认为,当数据中心需要升级电网或增加电力来源时,相关成本往往被分摊给所有公用事业用户,用户们称这是一种“政策选择”,而非不可避免的结果。 另一些人则通过将电力与大宗商品市场进行对比来反驳这一观点,认为高需求理应通过增加供应来平抑价格。持此观点的批评者指出,电网接入新电源的监管延迟才是导致价格上涨的真正原因。讨论帖还涉及了人工智能热潮更广泛的权衡问题:一些用户讽刺地认为这只是技术进步所付出的“微小代价”,而另一些用户则争论该负担应由驱动需求的技术公司承担,还是由公众承担。
相关文章

原文

For example, a recent report by the organization that monitors the PJM market, an area that encompasses all or part of 14 mid-Atlantic and Midwest states, concluded that expected power demand from data centers was a primary reason for $23 billion in customer price increases that will last until at least the end of 2028.

An aerial view of an area covered in wires, metal boxes and towers.
Someone has to pay for substations and other electricity transmission equipment – but who, and how much? Joe Raedle/Getty Images

The complexity of setting prices

Setting a price for electricity is straightforward in principle but complicated in execution. Regulators identify the costs to provide service, allocate the costs to customers and design prices to recover those costs.

First, regulators identify the costs that a utility company incurs to provide service. Regulators look at the value of the assets the utility company invests in, such as power plants, transmission lines and substations, as well as its day-to-day operating expenses, such as salaries, fuel, replacement parts and electricity it purchases from other sources. Then these costs are allocated to categories of customers, such as residential, commercial and industrial.

Ideally, costs are allocated to the customers who cause them, but that can be complicated to determine. For example, imagine a data center is built in an area that lacks existing power lines and is located 50 yards from a nearby electric substation. It’s clear that the data center should pay to run a 50-yard power line from the substation to the data center.

But what if the power company needs to upgrade the substation to handle the increased needs of the data center? Or secure additional sources of electricity? In these cases, the investments are part of the electricity grid that everyone uses. These costs will likely be shared among all customers.

Cost analysts review each line of a utility company’s costs, often thousands of items, and determine how each cost will be allocated. Each decision incorporates one basic idea: What’s your share?

For instance, if a group of customers uses 20% of the electricity delivered by the utility, they would be allocated 20% of the costs associated with energy delivery. Other cost items may be allocated based on the number of customers or how much electricity customers use at particular points in time, but the idea is the same.

Finally, the analysts set prices that are designed to recover the costs allocated to each customer group. So, the costs that are allocated to you are directly reflected in the electricity prices that you pay.

Flexibility and a potential loophole

One common criterion for figuring out how much a customer should pay is based on what is called “coincident peak demand” – the amount a customer group uses at the moment when all customers are collectively using the largest amount of electricity. Costs associated with overall peak usage are typically split proportionally – but this opens an opportunity for data centers to exploit the system.

Data centers often are able to fine-tune their electricity consumption, using more one minute and less another, in ways that residential users can’t easily replicate. Computerized systems can automatically adjust the amount of work a data center is doing, while a homeowner would either have to race around shutting off appliances to meaningfully reduce the amount of power their home was using or invest in a device that does.

Their flexibility means data centers may be able to learn to predict when system loads will peak and consume little to no power in just the right period to avoid contributing to peak loads, as has happened with cryptocurrency-mining operations in Texas. So when regulators look at their usage to determine prices, data centers may be able to avoid paying any costs allocated through coincident peak demand, even if they use large amounts of electricity at other times.

A line of tall metal towers holding wires stretches into the distance over a highway.
Electricity regulators determine how much it should cost to operate the grid. Jakub Porzycki/NurPhoto via Getty Images

Who speaks for you?

When utility regulators decide how costs should be allocated to each customer group, they solicit input from different groups. The utility company initially submits its own proposal for how it thinks costs should be allocated across its system.

Large industrial customer groups representing customers such as factories will also submit their own proposals for how to allocate costs and set rates. Retail customer groups representing large and small stores will submit theirs. And large data centers, with the resources to hire experts in cost allocation, will submit theirs as well. Some states have specific state-government agencies to do some of this work on behalf of particular commercial groups, such as Pennsylvania’s Office of Small Business Advocate.

Regulators don’t always get a good sense of residential customers’ voices, though. Every state except Georgia, Idaho and Louisiana has an office of the consumer advocate that represents customer interests in proceedings before the state utility regulator. But they are often charged with representing all customers in the state without bias, meaning they cannot advocate for outcomes that would impose costs on one group of customers in favor of another.

So while every state’s consumer advocate is concerned with keeping the utility’s costs as low as possible, they may be barred by law from adopting a position on how those costs should be allocated. This lack of representation in this aspect of rate-setting for average households may lead to situations where the data centers’ advocates argue for minimal costs to be allocated to them – but nobody advocates on behalf of residents to examine or refute that argument.

People stand in a group holding signs saying 'electricity is a necessity.'
Demonstrators call on the Public Utilities Commission of Nevada to protect consumers’ rights in electricity rate proceedings. Bryan Steffy/Getty Images for People’s Action

Citizens left holding the bag

There are other risks for residential customers, too. Utilities’ investments in electricity infrastructure last for many years. But not every proposed data center will get built, and some may use less energy than originally projected. Technology may even change, making some data centers obsolete after a year or two of operations.

If those events happen, then any costs the utility company incurred to provide enough electricity will be spread among all the other customers.

The allocation process may be even more complicated for municipal utilities regulated by city councils or independent boards, or cooperative utilities regulated by elected boards in rural communities. These groups may not have full-time staff who are utility or regulatory experts, yet they face the same decision-making challenges as trained professionals and might have to retain outside experts to aid in the process.

Consumers need to be aware of the importance of cost allocation and how it affects their electricity rates. I believe they should provide public comments to the regulators and speak during open hearings, as there may not be anyone else effectively advocating for their interests.

Theodore J. Kury, Director of Energy Studies, University of Florida

This article is republished from The Conversation under a Creative Commons license. Read the original article.

The Conversation

联系我们 contact @ memedata.com