نوع مقاله : مقاله پژوهشی
نویسندگان
دانشکده ی مهندسی شیمی ، دانشگاه اصفهان
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسندگان [English]
The purpose of this manyscript includes providing new analysis and optimization
method in process systems which is achieved due to the strengths of the simultaneous analytical methods of energy-exergy for thermal and chemical
systems. In this treatise, it has been tried to with doing a comprehensive
research effort, a new method is proposed to target energy-exergy process
systems with help of other techniques in order to be useful in analyzing and
optimizing process systems. In addition, exergy, exergyeconomic and pinch
methods have been introduced according to the need and importance of relevant
analyzes. In the following, the developed method in the synchronous combination
of Pinch-Exergy called Bridge-Exergy is presented at two different levels for
analyzing the energy and exergy process systems simultaneously. The output of
this developed bridge-exergy method is a new and correlated equation for the
simultaneous analysis of energy and exergy, which it leads to creation of an
Exergy Transmission Curve (ETC) for thermal equipment and an energy exergy destruction curve (EDL) and an energy --- exergy cost destruction curve (ECDL)
for equipment including pressure and composition change. Hereafter using this
method of combining and analyzing the equipment of the process system, by using
the artificial intelligence method called differential evolution algorithm, the optimization and integration of the whole process system are done simultaneously. Finally, based on the developed energy-exergy analysis method,
a new algorithm is introduced and evaluated for the design of optimal process
systems. As a field study for investigating the bridge-exergy combination
method and optimization algorithm, NGL production process has been briefly
investigated and thoroughly analyzed and optimized. In the process of natural
gas separation, using the bridge-exergy combination method and artificial
intelligence method, the differential evolution algorithm, the operating cost
is reduced about 44 \% and the annual profit is increased to about 814400
(\$/year).
کلیدواژهها [English]
)
