A new method to cleaner and more efficient CO2 capture

Jul. 22, 2009

Molecular modeling of CO 2 capture by an ionic liquid membrane. A typical fossil-fuel plant (top left) produces significant CO 2 and other greenhouse gas emissions. A membrane based on ionic liquids may absorb such emissions. (Download Image)

A new method to cleaner and more efficient CO2 capture

LIVERMORE, Calif. -- Separating carbon dioxide from its polluting source, such as the flue gas from a coal-fired power plant, may soon become cleaner and more efficient.

A Lawrence Livermore National Laboratory researcher has developed a screening method that would use ionic liquids -- a special type of molten salt that becomes liquid under the boiling point of water (100 degrees Celsius) -- to separate carbon dioxide from its source, making it a cleaner, more viable and stable method than what is currently available.

There are major efforts to reduce CO 2 emissions from burning fossil fuel, but before it can be sequestered, it must first be separated from its source, a step known as "capture." This new technique could significantly enhance the efficiency of the CO 2 capture process.

Currently, the few coal plants with commercial CO 2 capture capability all use processes based on chemical absorption with monoethanolamine (MEA), a general-purpose solvent developed by chemists some 75 years ago. Unfortunately, it is non-selective, corrosive, requires the use of large equipment, and effective only under low to moderate partial pressures of CO 2 .

But the new system overcomes many of these shortcomings. Chemists recently became interested in ionic liquids because they are solvents with almost no vapor pressure, and do not evaporate, even under high temperature conditions.

Using ionic liquids as a separation solvent has unique advantages over traditional solvents, according to LLNL scientist Amitesh Maiti, whose research appears as the cover article in a recent issue of ChemSusChem , a new journal focused on chemistry and sustainability.

Advantages include high chemical stability; low corrosion; almost zero vapor pressure; supportable on membranes; and a huge library of ion choices, which can be potentially optimized for CO 2 solubility.

Maiti's work involved devising a computational strategy that can reliably screen any solvent, including an ionic liquid, for high CO 2 capture efficiency.

"It's a great advantage to have a method that can quickly and accurately compute CO 2 solubility in any solvent, especially under the range of pressures and temperatures as would be found in a coal-fired power plant," Maiti said. "With ionic liquids serving as the solvent, the process could be a lot cleaner and more accessible than what is used today."

Over the last few years several ionic liquids have been experimentally tested to be efficient solvents for CO 2 , providing data that could be useful in optimizing the choice of ionic liquids for CO 2 capture.

"But each new experiment costs time and money and is often hindered because a specific ionic liquid may not be readily available," Maiti said. "By creating a computational tool that can decipher ahead of time which ionic liquids work best to separate CO 2 , it can be a much more efficient process when field tests are conducted."

Maiti developed a quantum-chemistry-based thermodynamic approach to compute the chemical potential of a solute (CO 2 in this case) in any solvent at an arbitrary dilution. He found that this result coupled with an experimentally fitted equation-of-state data for CO 2 can yield accurate solubility values in a large number of solvents, including ionic liquids. He confirmed this by directly comparing the computed solubility with experimental values that have been gradually accumulating over the last few years.

Next, he used this method to predict new solvent classes that would possess CO 2 solubility nearly two times as high as the most efficient solvents experimentally demonstrated.

"With the vast choices of ions, we have barely scratched the surface of possibilities," Maiti added.

His hope is that the accuracy of the computational method will allow scientists to see useful trends, which could potentially lead to the discovery of practical solvents with significantly higher CO 2 capture efficiency.