Oak Ridge Researchers Develop Algorithm to Site Urban Power and Battery Projects

Researchers at the U.S. Department of Energy's Oak Ridge National Laboratory have developed a new mathematical algorithm designed to optimize location selection for utility-scale power generation and battery energy storage systems within urban environments. As metropolitan areas expand and require additional power to support new industrial sites and commercial development, identifying viable physical space inside city limits has become increasingly challenging. The newly designed tool addresses these constraints by evaluating technical energy requirements alongside critical social, economic, and policy considerations rather than relying solely on traditional engineering metrics.

Historically, utility companies and urban planners selected energy infrastructure locations by focusing primarily on proximity to high-voltage transmission lines and low-cost grid interconnection points. However, these traditional models frequently fail when confronted with real-world metropolitan complications, such as attempting to place a massive battery storage system adjacent to a historic site or local landmark. Details regarding the new site-planning algorithm were recently published in the academic journal Energies, as first reported by TechXplore.

Constructing a power station or storage facility inside a densely built city requires seamless integration with neighboring properties and established daily activity patterns. Oak Ridge National Laboratory researcher Rodney Itiki explained that municipal zoning ordinances and noise restrictions designed to safeguard residential neighborhoods and local tourism sectors can reduce potential buildable sites by 20% to 30%. In addition to environmental and municipal codes, the team's algorithm explicitly evaluates how potential projects might affect an area's historical heritage and architectural significance.

"The tool is revolutionary because previous approaches to studies did not consider the real world," Itiki said. "They just started with a diagram of the energy system and picked a location based on that infrastructure, without incorporating the needs of the community."

Intended for operational use by electric utilities, city officials, and energy project developers, the algorithm incorporates a dedicated power grid simulator paired with a customizable weighting system. This configuration allows planners to factor in regional energy policies, local administrative rules, and direct feedback from grid operators, urban developers, and public community stakeholders. Furthermore, the flexible platform is designed to accommodate various types of energy generation and storage assets while adjusting dynamically as local policies and regulatory standards evolve.

The algorithm is structured to adapt to the distinct socioeconomic objectives of different municipalities. For example, a city seeking to attract new residents might weight the system to favor sites that lower retail electricity rates and generate new manufacturing jobs. Conversely, a municipality hosting artificial intelligence data centers alongside a military installation would likely calibrate the model to prioritize energy security, power reliability, and maximum grid resilience.

To determine the optimal facility type, geographic location, and capacity size, the algorithm models electrical grid performance across a full 24-hour operational cycle. By simulating ongoing energy demand and power flow throughout the day, the system captures real-time hourly voltage fluctuations, including evening demand spikes that occur as residential neighborhoods light up when people return home from work.

Looking ahead, Itiki noted that the principles behind the site-selection algorithm could be expanded to address other complex logistical and municipal planning challenges. Potential future applications include locating critical materials mining projects, siting energy-intensive artificial intelligence data centers, coordinating emergency disaster response efforts, and planning temporary infrastructure for major international events such as the FIFA World Cup or the Olympic Games.