Decreasing the flow rate of CO2 in methanol process using NLP model [Elektronski vir]
Kovač Kralj, Anita ; Glavič, Peter
All countries are trying aim to reduce their primary energy demand and CO2 emissions. The opportunities for emission reduction depend very much on the existing plant and energy system. Simultaneous ...optimization structure and parameters using nonlinear programming (NLP) can give additional annual profit which is strongly influenced by the decreasing flow rate of CO2 in the process. The NLP model contains equations for structural and parametric optimization of the plant with additional equations for CO2 conversion. The simultaneously optimized NLP model of low-pressure Lurgi methanol plant can include the effects of raw material flow rate, reactor conversion, temperature's efficiency of separator, fraction of the exhaust flow rate and energy saving to decrease the CO2 emissions by 1000 t/a.
It was not necessary to add the material to the shelf.
Bibliographic material was successfully added on shelf.
Adding bibliographical material on shelf was not successful.
Material is already on the shelf.
Permalink
URL:
Impact factor
Access to the JCR database is permitted only to users from Slovenia. Your current IP address is not on the list of IP addresses with access permission, and authentication with the relevant AAI accout is required.
Year
Impact factor
Edition
Category
Classification
JCR
SNIP
JCR
SNIP
JCR
SNIP
JCR
SNIP
Select the library membership card:
DRS,
in which the journal is indexed
Database name
Field
Year
Links to authors' personal bibliographies
Links to information on researchers in the SICRIS system
Subject headings in COBISS General List of Subject Headings
Select pickup location
The material from the parent unit is free. If the material is delivered to the pickup location from another unit, the library may charge you for this service.
