The design of energy efficient water utilization systems becomes a recent research direction. However
even for utility targeting
the current models involve many variables and constraints and it takes much time to solve the problem. Furthermore
the resulting utility target relies on the assumption ofΔTmin=0℃
for treating both direct and indirect heat transfer in one transshipment model. This assumption may lead to ΔTmin violations in the following HEN construction. A new kind of NLP model for utility targeting underΔTmin=0℃ is presented which can reduce the number of variables greatly. Moreover
an improved design approach considering the specifiedΔTmin is generated. This approach
which treats the direct and indirect heat transfer separately
provides the information to construct the water utilization system as well as the corresponding heat exchanger network without anyΔTmin violation.
Study on the residence time distribution characteristics of the TPMS-Diamond static mixer
Controlled synthesis of Bi2MoO6/MoO3 composite fibers via in-situ hydrothermal method and their high-efficiency photocatalytic hydrogen production performance
Heat transfer mechanisms, bottleneck identification and optimization in heat exchanger networks under variable operating conditions
Hydrolysis reaction mechanism of CNCl on the surface of composite metal CuCr2O4
Study on entropy wave production and dissipation in partially premixed swirl flames subject to inlet perturbations