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XỬ LÝ NƯỚC THẢI _ AQUAPOLO BRAZIL _ 86.400m3/ngày

10/26/2016
by John Doe

XỬ LÝ NƯỚC THẢI _ AQUAPOLO BRAZIL _ 86.400m3/ngày

Aquapolo Ambiental Water Reuse Project

Overview

Aquapolo Ambiental is a water reuse venture created by Foz do Brasil (Odebrecht Organization) and Sabesp, a Brazilian state-owned utility that provides water and sewage services for residential, commercial, and industrial use in the municipalities of the state of São Paulo. The Aquapolo project was initiated to address new government regulations to restrict industrial use of potable water in São Paulo and is the largest industrial water reuse project in the Southern Hemisphere. Aquapolo will supply the Capuava Petrochemical Complex of Mauá, located in São Paulo’s ABC region, thereby conserving enough drinking water to continuously supply a population of 300,000 people.

The Challenge

To build a treatment plant capable of meeting São Paulo’s pressing demand for industrial reuse water.

The Solution

Koch Membrane Systems, Inc. (KMS), a leading supplier of wastewater treatment systems, provided PURON® membrane bioreactor (MBR) modules as well as MegaMagnum® reverse osmosis (RO) membranes, system design and controls, and after-market support and service for the Aquapolo project. KMS was chosen for its superior technical support and biological design, the availability of MBR and RO pilot plants, its vast experience with water-recycling projects, and ability to meet an extremely accelerated delivery schedule.

KMS conducted a comprehensive feasibility study to identify the most cost-effective strategy to upgrade the existing plant infrastructure and concluded that membrane bioreactor (MBR) technology with a Tertiary Membrane Bioreactor (TMBR) system was the best solution for the new facility.

“Koch Membrane Systems’ willingness to work with us as our technological partner was a key factor in our decision to award them the contract,” said Emyr Diniz Costa, Senior Project Director at Odebrecht. “They offered a comprehensive engineering solution and dedicated extensive pre-engineering man-hours to produce the most reliable design and the state-of-the art technology for our project. The availability of a pilot plant convinced us their solution was the best one.”

 

The Treatment Plant

In total, the Aquapolo project encompasses the construction of new a pretreatment step, installation of a chemical dosing system, and the construction of a 700 lps TMBR utilizing 94,500 m2 of membrane area. The TMBR offers lower operating costs, lower process risk, greenfield design, and negligible interaction with current plant operations and equipment.

The TMBR is a polishing MBR process. It will treat water coming from the existing secondary clarifiers and further treat it in a newly built biological step using membranes as the final separation process. Some of the TMBR effluent will be further treated by RO membranes to meet conductivity goals for water reuse.

The TMBR pilot demonstrated that the submerged membranes benefited from the optimized biological system. Average flux rates of >25 L/m2h were achieved and daily maintenance cleaning was found to enhance the UF performance. Recovery cleaning returned the UF membrane to the original process permeability. A standard RO pilot also was used to simulate the RO design concept of the proposed full scale system for 200 L/s feed water. The pilot trials were setup in three well-defined phases, a simple batch mode, a modified batch mode and a continuous mode. The RO system was able to produce an excellent water quality.

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“AI expends a lot of energy being polite, especially if the user is polite, saying ‘please’ and ‘thank you,’”
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For this reason, Dauner suggests users be more straightforward when communicating with AI models. Specify the length of the answer you want and limit it to one or two sentences, or say you don’t need an explanation at all.

Most important, Dauner’s study highlights that not all AI models are created equally, said Sasha Luccioni, the climate lead at AI company Hugging Face, in an email. Users looking to reduce their carbon footprint can be more intentional about which model they chose for which task.

“Task-specific models are often much smaller and more efficient, and just as good at any context-specific task,” Luccioni explained.
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If you are a software engineer who solves complex coding problems every day, an AI model suited for coding may be necessary. But for the average high school student who wants help with homework, relying on powerful AI tools is like using a nuclear-powered digital calculator.

Even within the same AI company, different model offerings can vary in their reasoning power, so research what capabilities best suit your needs, Dauner said.

When possible, Luccioni recommends going back to basic sources — online encyclopedias and phone calculators — to accomplish simple tasks.

Why it’s hard to measure AI’s environmental impact
Putting a number on the environmental impact of AI has proved challenging.

The study noted that energy consumption can vary based on the user’s proximity to local energy grids and the hardware used to run AI models.
That’s partly why the researchers chose to represent carbon emissions within a range, Dauner said.

Furthermore, many AI companies don’t share information about their energy consumption — or details like server size or optimization techniques that could help researchers estimate energy consumption, said Shaolei Ren, an associate professor of electrical and computer engineering at the University of California, Riverside who studies AI’s water consumption.

“You can’t really say AI consumes this much energy or water on average — that’s just not meaningful. We need to look at each individual model and then (examine what it uses) for each task,” Ren said.

One way AI companies could be more transparent is by disclosing the amount of carbon emissions associated with each prompt, Dauner suggested.
“It’s true that both plants are not yet operating at the capacity we originally targeted,” said the Climeworks spokesperson.
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“Like all transformative innovations, progress is iterative, and some steps may take longer than anticipated,” they said.

The company’s prospective third plant in Louisiana aims to remove 1 million tons of carbon a year by 2030, but it’s uncertain whether construction will proceed under the Trump administration.

A Department of Energy spokesperson said a department-wide review was underway “to ensure all activities follow the law, comply with applicable court orders and align with the Trump administration’s priorities.” The government has a mandate “to unleash ‘American Energy Dominance’,” they added.

Direct air capture’s success will also depend on companies’ willingness to buy carbon credits.
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Currently companies are pretty free to “use the atmosphere as a waste dump,” said Holly Buck, assistant professor of environment and sustainability at the University at Buffalo. “This lack of regulation means there is not yet a strong business case for cleaning this waste up,” she told CNN.

Another criticism leveled at Climeworks is its failure to offset its own climate pollution. The carbon produced by its corporate activities, such as office space and travel, outweighs the carbon removed by its plants.

The company says its plants already remove more carbon than they produce and corporate emissions “will become irrelevant as the size of our plants scales up.”

Some, however, believe the challenges Climeworks face tell a broader story about direct air capture.

This should be a “wake-up call,” said Lili Fuhr, director of the fossil economy program at the Center for International Environmental Law. Climeworks’ problems are not “outliers,” she told CNN, “but reflect persistent technical and economic hurdles faced by the direct air capture industry worldwide.”

“The climate crisis demands real action, not speculative tech that overpromises and underdelivers.” she added.

Some of the Climeworks’ problems are “related to normal first-of-a-kind scaling challenges with emerging complex engineering projects,” Buck said.

But the technology has a steep path to becoming cheaper and more efficient, especially with US slashing funding for climate policies, she added. “This kind of policy instability and backtracking on contracts will be terrible for a range of technologies and innovations, not just direct air capture.”

Direct air capture is definitely feasible but its hard, said MIT’s Buck. Whether it succeeds will depend on a slew of factors including technological improvements and creating markets for carbon removals, he said.

“At this point in time, no one really knows how large a role direct air capture will play in the future.”
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Many left-wing preppers also have guns.
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Killjoy is open about the fact she owns firearms but calls it one of the least important aspects of her prepping. She lives in rural Appalachia and, as a transgender woman, says the way she’s treated has changed dramatically since Trump’s first election. For those on the left, guns are “for community and self-defense,” she said.

Left-wing preppers consistently say the biggest difference between them and their right-wing peers is the rejection of “bunker mentality” — the idea of filling a bunker with beans, rice, guns and ammo and expecting to be able to survive the apocalypse alone.

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This focus on community may stem in part from left-wing preppers’ growing fears around the climate crisis, predicted to usher in far-reaching ecological, social and economic breakdown. It cannot be escaped by retreating to a bunker for a few weeks.

As Trump guts weather agencies, pledges to unwind the Federal Emergency Management Administration and slashes climate funding — all while promising to unleash the fossil fuel industry — climate concerns are only coming into sharper focus.

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Her prepping journey started during Trump’s first term. She was living in California and filled with fear that in the event of a big natural disaster, the federal government would simply not be there.

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With less available information about AI’s resource usage, consumers have less choice, Ren said, adding that regulatory pressures for more transparency are unlikely to the United States anytime soon. Instead, the best hope for more energy-efficient AI may lie in the cost efficacy of using less energy.

“Overall, I’m still positive about (the future). There are many software engineers working hard to improve resource efficiency,” Ren said. “Other industries consume a lot of energy too, but it’s not a reason to suggest AI’s environmental impact is not a problem. We should definitely pay attention.”

Sign up for CNN’s Life, But Greener newsletter. Our limited newsletter series guides you on how to minimize your personal role in the climate crisis — and reduce your eco-anxiety.
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Torrential rain caused sewers to back up into several homes and sent floodwater running into basements, according to a Thursday news release from the city. Some affected residents took shelter at local hotels or with friends and family.

“This was an extraordinary rainstorm and is very similar to the historic rains seen in the 2005 floods,” Jon Rosenlund, the city’s emergency director said. “We will be actively monitoring rivers, creeks and other drainage areas over the next few days for future flooding issues.”

Flooding in 2005 turned streets into rivers in Grand Island. At one point, the city tore up a major road to open up a channel to drain flooding away from homes, CNN affiliate KHGI reported.

The central Nebraskan city is home to around 53,000 people and is about 130 miles southwest of Omaha. The rain came to an end around sunrise Thursday, but the danger remains, with a flood warning in effect until 7 p.m. CDT.
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