This paper presents a generalized method for the synthesis of heat-exchanger networks
(HENs) based on genetic algorithms (GAs). This approach is a modification of the algorithm …

The pursuit toward an environmentally sustainable energy landscape requires the
development of economically competitive renewable processes. Efficient utilization of …

Heat exchanger networks (HENs) increase heat recovery from industrial processes by
matching hot and cold streams to exchange heat and reducing utility consumption. The …

The chemical processes and utility industries are central issues to modern living standards.
The society evolution dictates that chemical processes will need continuous development …

The simultaneous synthesis of heat exchanger network is primarily regarded as mixed
integer nonlinear programming models and its combinatorial nature can easily lead to a …

Much attention has been paid to heat exchanger network (HEN) synthesis and optimization
by using meta-heuristic approaches. In general, Simulated Annealing (SA) is able to provide …

This paper discusses the problem of developing algorithmic methods for synthesizing
chemical processes. It is shown that mixed-integer programming is the natural underlying …

Simulated annealing is a multivariable optimization technique based on the Monte Carlo
method used in statistical mechanical studies of condensed systems and follows by drawing …

Heat exchanger network synthesis (HENS) has been the subject of a significant amount of
research over the last 40 years. While significant progress has been made towards solving …

An optimization-based process synthesis framework is proposed for the thermochemical
conversion of biomass to liquid fuels (BTL). Gasification of biomass is used to generate …