@article{
 title = {Optimal design and synthesis of algal biorefinery processes for biological carbon sequestration and utilization with zero direct greenhouse gas emissions: MINLP model and global optimization algorithm},
 type = {article},
 year = {2014},
 identifiers = {[object Object]},
 volume = {53},
 id = {43ecfae9-f1e8-3688-9311-8b8d48337f96},
 created = {2016-08-19T13:20:30.000Z},
 file_attached = {false},
 profile_id = {f27171f8-b200-3870-9028-dcb6a084733d},
 last_modified = {2017-03-25T02:01:24.507Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {false},
 hidden = {false},
 private_publication = {false},
 abstract = {We develop a novel superstructure of algal biorefinery processes for biological carbon sequestration and utilization, encompassing off-gas purification, algae cultivation, harvesting and dewatering, lipid extraction, remnant treatment, biogas utilization, and algal oil upgrading stages. Based on the superstructure, we propose a mixed-integer nonlinear programming (MINLP) model to minimize the unit carbon sequestration and utilization cost and apply a tailored branch-and-refine algorithm based on successive piecewise linear approximation to globally optimize the resulting nonconvex MINLP problem efficiently. The minimum unit carbon sequestration and utilization cost of $1.48/ton of CO2 is obtained when the diesel price is $3.91/gal and feed gas is delivered to the biorefinery only during daytime at a flow rate of 5003.46 ktons/year corresponding to the carbon dioxide emission rate of a 600 MW coal-fired power plant. The resulting algal biorefinery design reuses all the CO2 produced within the process, leading to zero direct greenhouse gas emission of the entire process. ? 2014 American Chemical Society.},
 bibtype = {article},
 author = {Gong, J. and You, F.},
 journal = {Industrial and Engineering Chemistry Research},
 number = {4}
}

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