CO2 Recovery Plant (Part 2).
نویسندگان
چکیده
منابع مشابه
Recursive sparse recovery in large but structured noise - Part 2
We study the problem of recursively recovering a time sequence of sparse vectors, St, from measurements Mt := St + Lt that are corrupted by structured noise Lt which is dense and can have large magnitude. The structure that we require is that Lt should lie in a low dimensional subspace that is either fixed or changes “slowly enough”; and the eigenvalues of its covariance matrix are “clustered”....
متن کاملEffective Medicinal Plant in Cancer Treatment, Part 2: Review Study
Cancer is the second cause of death after cardiovascular diseases. With due attention to rapid progress in the phytochemical study of plants, they are becoming popular because of their anticancer effects. The aim of this study was to investigate the effective medicinal plants in the treatment of cancer and study their mechanism of action. In order to gather information the keywords "traditional...
متن کاملIncreasing CO2 Storage in Oil Recovery
Carbon dioxide (CO2) injection has been used as a commercial process for enhanced oil recovery (EOR) since the 1970’s. Because the cost of oil recovered is closely linked to the purchase cost of the CO2 injected, considerable reservoir engineering design effort has gone into reducing the total amount of CO2 required to recover each barrel of oil. If, on the other hand, the objective of the CO2 ...
متن کاملHomogeneous Catalyst Recovery and Recycle with Co2
Catalytic synthesis can be achieved by using either homogeneous or heterogeneous organometallic complexes, or homogeneous enzymatic biocatalysts. However, each of these methods offers advantages and disadvantages that must be balanced cautiously. Homogeneously catalyzed reactions are highly efficient in terms of selectivity (i.e. regioselectivity, enantiomeric excesses) and reaction rates, due ...
متن کاملModeling CO2 recovery for optimal dynamic operations
The development of amine scrubbing processes for coal and natural gas-fired power plants is essential to reduce CO2 emissions. The design of tailor-made dynamic models to predict CO2 capture in amine scrubbing processes is fundamental for optimal control operations. This paper presents the use of SIMPCA, a subspace system identification technique used to develop a dynamic empirical model for an...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Kvasny Prumysl
سال: 1996
ISSN: 0023-5830
DOI: 10.18832/kp1996028