16 research outputs found
“DISEÑO ÓPTIMO DE REDES DE ENFRIAMIENTO”
Se presenta la formulación de un modelo MINLP para la optimización de redes de
enfriamiento, cuya característica principal es que toma en consideración la optimización
simultánea de los componentes de todo el sistema de agua de enfriamiento, a saber: la red de
enfriadores, la torre de enfriamiento y el subsistema de bombeo. Como función objetivo se
establece la minimización del costo total que resulta de la suma del costo de operación y de
capital. El diseño de la red de enfriadores está basado en una superestructura que permite
arreglos completamente en paralelo o en serie o una combinación de ambos, en tanto que el de la
torre de enfriamiento se basa en el Método de Merkel y, en cuanto a la bomba, se utiliza un
método corto para determinar su costo en función del flujo de agua a manejar.
Las variables de optimización son: la temperatura de entrada (temperatura de salida de la
red de enfriadores) y de salida de la torre de enfriamiento, la temperatura de salida del mezclador
(temperatura de entrada a la red de enfriadores), la altura de la torre, la temperatura de salida del
aire en la torre, la temperatura de salida del agua de enfriamiento en cada enfriador de la red, la
temperatura de entrada a cada etapa en la red de enfriadores, la temperatura de salida de cada
etapa en la red de enfriadores, la potencia de la bomba y del ventilador, así como el flujo de agua
de enfriamiento y el área de cada uno de los enfriadores de la red
Optimal integration of organic Rankine cycle with industrial processes. Energy Convers
a b s t r a c t This paper presents a procedure for simultaneously handling the problem of optimal integration of regenerative organic Rankine cycles (ORCs) with overall processes. ORCs may allow the recovery of an important fraction of the low-temperature process excess heat (i.e., waste heat from industrial processes) in the form of mechanical energy. An integrated stagewise superstructure is proposed for representing the interconnections and interactions between the HEN and ORC for fixed data of process streams. Based on the integrated superstructure, the optimization problem is formulated as a mixed integer nonlinear programming problem to simultaneously account for the capital and operating costs including the revenue from the sale of the shaft power produced by the integrated system. The application of this method is illustrated with three example problems. Results show that the proposed procedure provides significantly better results than an earlier developed method for discovering optimal integrated systems using a sequential approach, due to the fact that it accounts simultaneously for the tradeoffs between the capital and operating costs as well as the sale of the produced energy. Also, the proposed method is an improvement over the previously reported methods for solving the synthesis problem of heat exchanger networks without the option of integration with an ORC (i.e., stand-alone heat exchanger networks)
Involving Acceptability in the Optimal Design of Total Integrated Residential Complexes Involving the Water-Energy-Waste Nexus
This work presents a multiobjective
optimization model for the design of an integrated residential complex,
which incorporates the proper use of available resources and wastes
through recycling and reusing networks. The proposed model involves
the proper use of water accounting for rainwater harvesting and the
reuse of reclaimed water. The model also includes the design of a
cogeneration system to satisfy electricity demands as well as hot
water demands. The treatment of the produced solid waste is also incorporated
through an incineration system, and an algae system is involved for
sequestering the associated emissions. The proposed model aims to
satisfy the energy, heat, and water demands and the treatment for
the residues with the objective to minimize the associated cost and
the associated emissions. Furthermore, the proposed model includes
an objective function associated with the minimization of the damage
to the health of the inhabitants
Optimal Design of Distributed Algae-Based Biorefineries Using CO<sub>2</sub> Emissions from Multiple Industrial Plants
This
work proposes an optimization approach for capturing carbon
dioxide from different industrial facilities to yield an algae-based
biorefinery. The proposed approach is based on a distributed system
to account for the economies of scale and includes site selection
for the processing facilities. Additionally, the model considers optimization
for the technologies used in the process stages and different technologies
to yield several products. The algae oil that is obtained from each
facility can be sent to processing hubs located in the same plant
and/or to a central processing unit. The objective function is to
minimize the total annual cost for the treatment of flue gases, including
the capital and operating costs for the different processing stages
and the overall transportation costs associated with the system minus
the sales of products plus the tax credit for reducing CO<sub>2</sub> emissions. The results show several economic benefits