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AI’s Energy Appetite: What Data Centers Mean for the Future of Electricity Prices

Discover how AI-driven data centers are reshaping electricity demand, prices, and why smarter HVAC and efficiency are critical for sustainable growth.

Ava Montini

Jan 27, 2026

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Powering intelligence, shaping energy


Artificial intelligence has gone from “what if” to “what now.” We use it to draft reports, analyze data, streamline workflows, and even generate design ideas. But while the results appear on our screens instantly, what powers them is anything but invisible.


Behind every AI tool is a data center; rows of servers drawing massive amounts of power and generating equally massive amounts of heat. And with AI adoption soaring, those facilities are putting real pressure on our electricity grids.


Bloomberg recently reported that in PJM, the largest U.S. grid, capacity prices jumped sharply as AI-driven data center demand climbed (Bloomberg). For operators, this is a direct hit to energy budgets.


So while AI is exciting, it comes with a new operational reality: efficiency in cooling, airflow, and HVAC isn’t optional. It’s the difference between runaway costs and sustainable growth.


Why AI is different from past computing booms


Previous waves of digital growth (like cloud adoption) drove steady data center expansion. But AI is different. Training large models consumes enormous amounts of energy. The International Energy Agency estimates that data center electricity use could nearly double by 2030 to around 1,000 TWh, roughly equal to Japan’s entire annual consumption (IEA).


And it’s not just training. Inference: the everyday process of users asking questions or running AI tasks is multiplying demand across millions of devices. Goldman Sachs forecasts a 165% increase in data center power demand by 2030, largely due to AI (Goldman Sachs).


Cooling: a hidden energy driver


When people think about data centers, they picture racks of servers. But behind that computing load is another energy giant: cooling.

HVAC, chillers, pumps, and fans often make up 30–40% of total energy use in data centers (U.S. DOE). That means the “support systems” keeping servers at safe temperatures can rival the IT equipment itself in energy demand.


And because these systems run 24/7, even small inefficiencies snowball:

  • A high-resistance filter forces fans to draw extra kilowatts all day, every day.

  • A dirty coil reduces heat transfer, stretching compressor runtimes.

  • A miscalibrated damper throws airflow off balance, raising both costs and emissions.


Clogged filters can cut supply airflow by over 35%, driving higher fan power and cooling loads (MDPI). Others highlight how loaded filters in constant-speed systems directly increase electricity use (University of Texas at Austin).


Now scale that across a hyperscale AI-driven facility. A 3% efficiency penalty may look small on paper, but in practice, it can cost hundreds of thousands of dollars annually and add unnecessary CO₂e to your footprint.


That’s why low-pressure, high-efficiency filtration matters. It cuts resistance without sacrificing capture, reducing fan energy hour after hour. For operators under pressure from rising power prices and sustainability goals, it’s one of the simplest ways to shrink cooling costs while protecting uptime.


Why efficiency pays off more now

Energy savings have always lowered costs. But as grids get stressed and data center demand rises, the value of each saved kilowatt is climbing. Bloomberg recently reported that capacity prices on PJM, the largest U.S. grid, have spiked because of new data center growth (Bloomberg).


In practical terms, this changes the math:

  • A coil cleaning that once took years to pay for itself can now pay back in just a few months.

  • Smarter controls and calibrated ventilation keep you protected when prices swing.

  • Low-pressure filtration quietly reduces fan energy every hour, stacking up bigger savings as electricity prices rise.


The bottom line is that efficiency has become one of the fastest and most reliable ways to control operating costs in an unpredictable energy market.


Building smarter, not just bigger

For operators, the roadmap isn’t a mystery. The tools are already here:

  • Low-pressure filtration to keep fans efficient hour after hour.

  • Adaptive cooling strategies like variable-speed fans, economizers, and containment to right-size energy use.

  • Monitoring-based commissioning and diagnostics to stop efficiency losses before they become routine.

  • Load shifting and grid-aware operations to tap cleaner, cheaper hours of power (IEA).


Every watt counts

As AI expands, data centers will continue to carry a heavier share of global electricity demand. That makes efficiency less of an option and more of an operating requirement.


The lesson is simple: efficiency and reliability are not competing goals. When facilities prioritize both, they not only manage rising energy costs but also reduce their carbon footprint in measurable, reportable ways. AI may be shaping the demand curve, but how operators respond will shape the industry's long-term sustainability.

How is Indoor Air Quality Measured?

  • Writer: Jennifer Crowley
    Jennifer Crowley
  • Jul 31, 2023
  • 3 min read

Updated: Jul 10, 2024

Humidity sensor in a mans hand in the foreground, with a blurry male digging in his toolbox in the background
By monitoring air quality, you can stop the negative consequences of indoor air pollutants.

For all the right reasons, improving indoor air quality has become a concern for many. However, when do we know the measures being taken to improve the IAQ are actually working? Or when we need to take further measures?


You can use monitors to check on your building’s air quality to provide a safer and healthier environment. By monitoring air quality, you can also stop the negative consequences of indoor air pollutants. Many methods are used to extract the level of indoor air quality, specifically measuring common symptoms found indoors. This includes; humidity, CO2 and VOCs.


Humidity Sensors

What is Humidity?

Humidity is the concentration of water vapour present in the air. Common sources of excess moisture indoors include the overuse of a humidifier, long showers, running water for other uses, boiling or steaming in cooking, plants, and drying clothes indoors. Also, a tight, energy-efficient building holds more moisture inside.


Humidity Sensor

A humidity sensor is an electronic device that measures the humidity in its environment and converts its findings into a corresponding electrical signal. Humidity sensors vary widely in size and functionality; some humidity sensors can be found in handheld devices (such as smartphones), while others are integrated into larger embedded systems (such as air quality monitoring systems).


Humidity sensors can be divided into two groups, depending on the method used to calculate the humidity. Relative humidity, or RH, is calculated by comparing the live humidity reading at a given temperature to the maximum humidity for air at the same temperature. RH sensors must therefore measure temperature to determine relative humidity. Contrastingly, absolute humidity (AH) is calculated without reference to temperature.


CO2 Sensors

What is CO2?

CO2 is a natural constituent of the air we breathe; it is a colourless, odourless and non-flammable gas produced by metabolic processes (such as respiration) and by the combustion of fossil fuels. This is a result of both external atmospheric CO2 and internal production from the presence of people.


The average outdoor air concentration of CO2 is in the order of 300 to 400 ppm. Indoor levels are usually higher due to the CO2 exhaled by building occupants. Indoor combustion appliances, particularly gas stoves, can also increase CO2 levels.

Chart depicting air quality status based on CO2 levels

CO2 Sensors

A carbon dioxide sensor is a device used to measure carbon dioxide gas concentration in the atmosphere. It is measured using “parts per million” (ppm) and is measured through different technologies, including;

  1. Nondispersive Infrared (NDIR): monitors the absorption of infrared light at a specific wavelength (4.3 μm), a wavelength at which CO2 has very strong absorption. If the infrared light is absorbed, then CO2 is present, whereas non-absorption indicates a lack of CO2.

  2. Photoacoustic Spectroscopy: Subjects a sample to pulses of electromagnetic energy that are tuned specifically to the absorption wavelength of CO2. The CO2 molecules within the sample will absorb and generate pressure waves via the photoacoustic effect with each energy pulse. These pressure waves are then detected with an acoustic detector and converted to a usable CO2 reading through a computer or microprocessor.

  3. Electrochemical Carbon: dioxide sensors measure electrical current to determine how much CO2 is in the air. When CO2 enters the sensor, it chemically reacts within a polymer surface, resulting in an electrical charge. The type and amount of electrical charge are then used to determine how much CO2 is present.


VOC Sensors

What are VOCs?

Volatile organic compounds (VOCs) are emitted as gases from certain solids or liquids. VOCs are emitted by a wide array of products. Examples include: paints and lacquers, paint strippers, cleaning supplies, pesticides, building materials and furnishings, office equipment such as copiers and printers, correction fluids and carbonless copy paper, graphics and craft materials including glues and adhesives, permanent markers, and photographic solutions.


VOC Sensors 

As the name suggests, VOC sensors detect surrounding volatile organic compounds. VOCs typically come from gases that emanate from solid or liquid compounds. This can be residual paint fumes or gases from solvents or fuels. Commonly, people can detect or identify if they’re near VOCs by smell.

There are three main types of sensors used to detect VOC levels in the air:

  1. PIDs (photoionization detectors) break down compounds into positive and negative ions using ultraviolet light to identify VOCs. These sensors can analyze and detect a vast array of chemicals, including methylene chloride.

  2. FIDs (flame ionization detectors) detect hydrocarbons in various industries. A hydrogen flame interacts with hydrocarbons to produce ions. Alerts sound when any changes in ion levels are detected.

  3. MOS (metal oxide semiconductor sensor) sensors use a delicate film to detect compounds in the surrounding atmosphere, such as benzene, ethanol, and toluene. These sensors can operate in low humidity.


Symptoms of Poor Indoor Air Quality

Another easy way to measure indoor air quality is by looking around your home, office or workspace and looking for common signs of poor IAQ. Signs commonly include:

  1. Mould

  2. High Humidity

  3. Odour (stale smell)

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