KUALA LUMPUR, Malaysia, October 28 (IPS) - Opposition to data centres (DCs) has been rapidly spreading internationally due to their fast-growing resource demands. DCs have been proliferating quickly, driven by the popularity of artificial intelligence (AI).

As electricity prices continue to rise, it's becoming increasingly clear that the causes are far more complex than previously thought. Contrary to popular assumption, rising demand from data centers and other industries is not solely responsible for the increase in costs, but rather a tangled web of factors including infrastructure maintenance, geopolitical trends, and shifting energy markets. Historically, as electricity systems have grown, fixed costs have been distributed across larger customer bases, resulting in lower rates, as demonstrated by the cases of North Dakota and Virginia. However, this model is being challenged by the emergence of energy as a strategic tool in geopolitics, with nations employing "energy weapons" to manipulate global markets, making it essential to examine these trends critically and consider broader historical context to understand the true drivers behind rising electricity prices.

Opalco discusses substation construction schedule and environmental permitting requirements for upgrades.

Utility commissioners adopt consent calendar items during brief remote meeting.

Council members debate Tesla's substantial impact fees and energy demand on local infrastructure.

The US Department of Energy has issued an emergency order to permit the PJM Interconnection and Talen Energy to operate specific power generation units beyond standard limitations in response to rising energy demands, particularly during periods of peak electricity usage due to intense summer heat. This move comes as grid operators across the country experience strain and several regions have already seen similar emergency orders, aiming to prevent power interruptions for millions of Americans while addressing concerns about aging power plants and potential supply shortages that could lead to widespread blackouts by 2030 if adequate replacement capacity is not secured.

California's booming artificial intelligence sector is sparking a unique challenge as its growth fuels increased energy demands, yet offers a potential solution to manage them. A pilot program led by the California Independent System Operator (CAISO) is leveraging AI to optimize the power grid and address strains on it, utilizing advanced forecasting tools that analyze vast datasets to predict energy needs more accurately, improving grid operation and stability in the process.

The regional power grid has demonstrated its ability to handle significant electricity demands, even under the stress of recent extreme heat. A recent heatwave tested the system, but the grid successfully managed the increased load. Anticipating another period of high heat and humidity next week, officials are confident in the grid’s continued stability. A notable factor influencing grid operations is the substantial amount of behind-the-meter solar photovoltaic (PV) systems – approximately 7,800 MW – currently installed. This distributed solar generation reduces overall grid demand during daylight hours. The presence of this solar capacity has also altered the typical peak demand period, pushing it from earlier to later in the afternoon, specifically between 4 and 6 p.m. during July and August. The total available generation capacity for the region is substantial, around 29,000 MW, highlighting a diverse energy mix beyond just solar power. Grid operators at ISO New England continuously monitor conditions and proactively plan for periods of high demand. These operators also undergo comprehensive training to effectively manage a range of potential grid scenarios, ensuring a reliable and adaptable power system.

Commissioners discuss parkland preservation and residential proximity to proposed data centers.

Team prepares visuals and data for upcoming project 765 focused on skyscraper development.

The Flint Hills NPL discusses regional preparation for electric vehicle infrastructure and policies.

Commission debates readiness and market potential for data centers in Palo Alto's future plans.

New Jersey is taking a step towards becoming a hub for artificial intelligence development, but lawmakers are also grappling with the potential energy demands of this growing sector. A bill that recently cleared the state Senate Environment and Energy Committee aims to address concerns about the energy needs of AI data centers. The legislation requires these facilities to use clean energy sources and submit an energy usage plan to the Board of Public Utilities. Supporters of the bill argue that the increasing demand for energy from AI data centers could strain the state's power grid, making it essential to ensure they are powered by renewable energy options. This would not only mitigate environmental impacts but also provide a more sustainable solution for the growing sector. However, opponents of the bill have raised concerns that it could discourage companies from setting up shop in New Jersey. They argue that these businesses should be responsible for their own energy needs and not rely on ratepayers to bear the cost. New Jersey Governor Phil Murphy has made artificial intelligence development a priority for the state, but he also wants to ensure that this growth does not come at the expense of the environment or the economy. By implementing clean energy standards for AI data centers, the state can balance its ambition with sustainability. For now, the bill must be adopted by at least half of the 12 states in the PJM region before it takes effect. If successful, New Jersey could become a model for responsible and sustainable growth in the artificial intelligence sector.

Illinois officials discuss challenges from increased energy demands under Clean Energy Jobs Act.