TY - CHAP
T1 - Simultaneous Optimization of Cooler Network, Pump Network, and Cooling Tower
AU - Ma, Jiaze
AU - Wang, Yufei
AU - Feng, Xiao
N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].
PY - 2017/10/1
Y1 - 2017/10/1
N2 - This paper presents a model for optimizing the cooler network, pump network, and cooling tower simultaneously. Each part of cooling water system interacts with each other. However, most of previous works focus on the optimization of stand-alone components. In order to find the optimal structure, all of three parts are supposed to be optimized simultaneously. The series-parallel configuration of cooler network is presented in this paper. The pressure drop of cooler is treated as optimization variable. The coolers’ heights are considered and auxiliary pump network is employed to reduce pumping cost. Besides, the cooling tower capital and operational costs are taken into account. The most important variables include water inlet and outlet temperature, water flowrate and air flowrate. The MINLP (mixed-integer nonlinear programming) problem is formulated so as to minimize the total annual cost of overall cooling water system. A case from refinery is employed to verify the effectiveness of proposed model. © 2017 Elsevier B.V.
AB - This paper presents a model for optimizing the cooler network, pump network, and cooling tower simultaneously. Each part of cooling water system interacts with each other. However, most of previous works focus on the optimization of stand-alone components. In order to find the optimal structure, all of three parts are supposed to be optimized simultaneously. The series-parallel configuration of cooler network is presented in this paper. The pressure drop of cooler is treated as optimization variable. The coolers’ heights are considered and auxiliary pump network is employed to reduce pumping cost. Besides, the cooling tower capital and operational costs are taken into account. The most important variables include water inlet and outlet temperature, water flowrate and air flowrate. The MINLP (mixed-integer nonlinear programming) problem is formulated so as to minimize the total annual cost of overall cooling water system. A case from refinery is employed to verify the effectiveness of proposed model. © 2017 Elsevier B.V.
KW - Cooler network
KW - Cooling tower
KW - MINLP
KW - Optimization
KW - Pump network
UR - https://www.scopus.com/pages/publications/85041428287
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85041428287&origin=recordpage
U2 - 10.1016/B978-0-444-63965-3.50129-X
DO - 10.1016/B978-0-444-63965-3.50129-X
M3 - RGC 12 - Chapter in an edited book (Author)
VL - 40
T3 - Computer Aided Chemical Engineering
SP - 763
EP - 768
BT - Computer Aided Chemical Engineering
PB - Elsevier B.V.
ER -