News Article
http://oilprice.com/The-Environment/Global-Warming/Computer-Model-Identifies-the-best-candidates-for-Greenhouse-Gas-Removal.html

Paper
http://www.nature.com/nchem/journal/vaop/ncurrent/full/nchem.1432.html

News
A new computer model can identify the best molecular candidates for
removing carbon dioxide, molecular nitrogen, and other greenhouse gases
from power plant flues.The model is the first computational method to
provide accurate simulations of the interactions between flue gases and a
special variety of the gas-capturing molecular systems known as
metal-organic frameworks (MOFs).It should greatly accelerate the search for
new low-cost and efficient ways to burn coal without exacerbating global
climate change.Berend Smit, an international authority on molecular
simulations who holds joint appointments with Berkeley Lab’s Materials
Sciences Division and University of California, Berkeley, where he directs
Berkeley’s Energy Frontier Research Center, co-led the development of this
computational model with Laura Gagliardi, a chemistry professor at the
University of Minnesota.“We’ve developed a novel computational methodology
that yields accurate force fields–parameters describing the potential
energy of a molecular system–to correctly predict the adsorption of carbon
dioxide and molecular nitrogen by MOFs with open metal sites,” Smit
says.“All previous attempts at developing such a methodology failed and
most people gave up trying, but our model is applicable to a broad range of
systems and can be used to predict properties of open-site MOFs that have
not yet been synthesized.”Smit and Gagliardi are the corresponding authors
of a paper describing this research in the journal Nature Chemistry.Given
that the United States holds the world’s largest estimated recoverable
reserves of coal, coal-burning power plants will continue to be a major
source of our nation’s electricity generation for the foreseeable
future.However, given rising concerns over the contributions of burning
coal to global climate change, there is an urgent need for an effective and
economical means of removing greenhouse gases from flues before those gases
enter the atmosphere.Current technologies proposed for capturing greenhouse
gas emissions, based on amines or other molecular systems, would use about
one-third of the energy generated by the power plants. This “parasitic
energy” would substantially drive up the price of electricity.One in a
millionMOFs are crystalline molecular systems that can serve as storage
vessels with a sponge-like capacity for capturing and containing carbon
dioxide and other gases.MOFs consist of a metal oxide center surrounded by
organic “linker” molecules to form a highly porous three-dimensional
crystal framework. When a solvent molecule is applied during the formation
of the MOF and is subsequently removed, the result is an unsaturated “open”
metal site MOF that has an especially strong affinity for carbon
dioxide.“MOFs have an extremely large internal surface area and, compared
to other common adsorbents, promise very specific customization of their
chemistry and could dramatically lower parasitic energy costs in
coal-burning power plants,” Smit says.“However, there are potentially
millions of variations of MOFs and since from a practical standpoint we can
only synthesize a very small fraction of these materials, the search for
the right ones could take years. Our model saves this time by enabling us
to synthesize only those that are most ideal.”Force field models developed
to predict the adsorption properties of other MOFs typically underestimate
the properties for open metal site MOFs by two orders of magnitude. This is
because open metal site MOFs impose very different chemical environments
from the MOFs that were considered in the original development of force
field models.Smit and his colleagues met the challenge of open site MOFs
using state-of-the-art quantum chemical calculations and a strategy based
on the non-empirical model potential (NEMO) methodology.“Under this NEMO
methodology, the total electronic interaction energy obtained from quantum
chemical calculations is decomposed into various contributing factors, such
as electrostatic, repulsive, dispersion and so on,” Smit says.“With the
model we developed we were able to reproduce the experimental adsorption
isotherms of carbon dioxide and molecular nitrogen and correctly predict
the mixture isotherms at flue-gas conditions in Mg-MOF-74, an open metal
site MOF that has emerged as one of the most promising for carbon dioxide
capture.”The generality of their methodology should enable Smit and his
colleagues to develop force field models for broad combinations of
different metals, linkers, and topologies. Work is already underway to
apply the model to new amine-based systems for removing carbon dioxide from
flue exhaust.Co-authors are Allison Dzubak, Li-Chiang Lin, Jihan Kim,
Joseph Swisher, Roberta Poloni, and Sergey Maximoff.This research was
supported by the Department of Energy (DOE) Office of Science in part
through the Center for Gas Separations, an Energy Frontier Research Center,
and the by DOE’s Advanced Research Projects Agency-Energy (ARPA-E), and by
the Deutsche Forschungsgemeinschaft.Researchers made use of the US DOE’s
Lawrence Berkeley National Laboratory National Energy Research Scientific
Computing Center and Molecular Foundry, facilities that are also supported
by the DOE Office of Science.By.  Lynn Yarris-Berkeley

Abstract
During the formation of metal–organic frameworks (MOFs), metal centres can
coordinate with the intended organic linkers, but also with solvent
molecules. In this case, subsequent activation by removal of the solvent
molecules creates unsaturated ‘open’ metal sites known to have a strong
affinity for CO2 molecules, but their interactions are still poorly
understood. Common force fields typically underestimate by as much as two
orders of magnitude the adsorption of CO2 in open-site Mg-MOF-74, which has
emerged as a promising MOF for CO2 capture. Here we present a systematic
procedure to generate force fields using high-level quantum chemical
calculations. Monte Carlo simulations based on an ab initio force field
generated for CO2 in Mg-MOF-74 shed some light on the interpretation of
thermodynamic data from flue gas in this material. The force field
describes accurately the chemistry of the open metal sites, and is
transferable to other structures. This approach may serve in molecular
simulations in general and in the study of fluid–solid interactions.

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