Povzetek

Fuel-cell efficiencies yield substantial reductions in the emissions of climate-change gases and promise an end to exclusive reliance on carbon fuels for energy. Fuel cells, CO[sub]2 reuse, process heat integration, and open gas turbine electricity cogeneration can be optimized simultaneously, using a nonlinear programming (NLP) algorithm. The simplified NLP model contains equations of structural and parametric optimization. This NLP model is used to optimize complex and energy-intensive continuous processes. This procedure does not guarantee a global cost optimum, but it does lead to good, perhaps near-optimum, designs. The plant, which produces methanol, has a surplus of hydrogen (H[sub]2) and CO[sub]2 flow rates in purge gas. H[sub]2 is separated from the purge gas by an existing pressure swing adsorption (PSA) column. Pure H[sub]2 can be usedas fuel in fuel cells. CO[sub]2 can be separated from the outlet stream (purge gas) by a membrane or absorption system (absorber and regenerator) or an adsorption system and reused as a reactant in a reactor system. Therefore, the product yield can be increased and CO[sub]2 emissions can be reduced, simultaneously. CO[sub]2 emissions can then be reduced at the source. The retrofitted process can be operated within existing parameters. Using a methanol process as a case study, the CO[sub]2 emission flow rate can be reduced by 4800 t/a. The additional electricity cogeneration in the gas turbine and in fuel cells and additional flow rates of the raw material could generate an additional profit of 2.54 MEUR/a.

Ključne besede

kemijska procesna tehnika;proizvodnja metanola;optimiranje;nelinearno programiranje;ponovna uporaba CO2;gorivne celice;toplotna integracija;kogeneracija;chemical processing;methanol production;optimization;nonlinear programming;CO2 reuse;fuel cells;heat integration;energy cogeneration;

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.01 - Izvirni znanstveni članek
Organizacija: UM FKKT - Fakulteta za kemijo in kemijsko tehnologijo
UDK: 661.721.012
COBISS: 11756054 Povezava se bo odprla v novem oknu
ISSN: 0887-0624
Št. ogledov: 2067
Št. prenosov: 73
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Angleški jezik
Sekundarne ključne besede: kemijska procesna tehnika;proizvodnja metanola;optimiranje;nelinearno programiranje;ponovna uporaba CO2;gorivne celice;toplotna integracija;kogeneracija;
URN: URN:SI:UM:
Strani: str. 2892-2899
Letnik: ǂVol. ǂ21
Zvezek: ǂiss. ǂ5
Čas izdaje: 2007
DOI: 10.1021/ef070085q
ID: 8717415