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Bay Area wastewater plants could nearly halve nitrogen cleanup costs by coordinating upgrades

Treating polluted water flowing into San Francisco Bay to meet regulatory requirements is going to cost ratepayers money. Exactly how much depends, in large part, on whether the region's wastewater treatment plant operators are willing and able to coordinate infrastructure construction and operation to meet these requirements, according to a Stanford University study published in Nature Water.

Bay Area wastewater plants could nearly halve nitrogen cleanup costs by coordinating upgrades

A Stanford University study published in Nature Water highlights how coordinating upgrades of wastewater treatment plants in the Bay Area could significantly reduce the costs of cleaning up nitrogen pollution. The research, led by Sinan Abi Farraj, a Ph.D. student in civil and environmental engineering, found that working together could cut total capital and operating costs by up to 48%, saving $268 million over 30 years compared to building infrastructure independently.

The study developed a framework that models the most cost-effective way for multiple facilities to jointly plan, build, and operate infrastructure to remove excess nitrogen before discharge into San Francisco Bay. By coordinating, utilities can reduce the number and cost of infrastructure projects needed to meet regulatory requirements.

Meeting the goal of a 40% reduction in nitrogen discharges by 2035 without coordination would cost over $10 billion and require $200 annual rate increases per household. The researchers emphasize that the savings are possible because construction costs don't scale proportionally with capacity; a larger facility can remove nitrogen more cheaply than a smaller one.

They recommend that facilities delay construction until needed and jointly decide on what to build, where, and when to maximize savings. While several utilities are considering regional coordination, most are waiting for regulators to approve an official framework.

Written by urgent.news from Phys.org's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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