In order to take the reduction of pollution emissions as the target, this paper generates the model parameters based on the input-output relationship between material flow and energy flow of regional inter-industry, and builds the model of energy efficiency optimization of industrial park with the distribution of regional industry structure as the control variable. The modeling process is discu...

The paper demonstrates the place, role and mutual interaction of advanced control algorithms and on-line set-point optimization in process control structures. First, a multilayer control structure resulting from a functional decomposition is briefly presented. The role and selected realizations of advanced control algorithms, in particular mostly applied now model predictive control (MPC) ones,...

Designing of a PID controller is a very common method for industrial process control and due to its very simple and efficient function; it is used in a wide variety of industrial applications. PID controller to reduce the steady state error and dynamic response of the system is used. PID controller design is an inevitable problem in setting the coefficients need to try a lot of trial and error,...

cement production is an energy-intensive process, so that the cement industry occupies a top position among other energy-consuming industries. among the equipment used in cement industries, boilers are one of the energy-consuming equipment. boilers are among the common heating equipment in industrial, commercial, and institutional facilities. in this paper, the performance of thermal oil boiler...

The traveling salesman problem (TSP) is one of the most important combinational optimization problems that have nowadays received much attention because of its practical applications in industrial and service problems. In this paper, a hybrid two-phase meta-heuristic algorithm called MACSGA used for solving the TSP is presented. At the first stage, the TSP is solved by the modified ant colony s...

The aim of this study is to find the optimal water pressure and percentage of supply vapour in the feed water heaters (fwhs) of steam power plants, such that they maximize the thermal efficiency of the Rankine cycle within pre-specified values of minimum and maximum pressures of the thermodynamic cycle. Thermal efficiency is defined as a function of unknown variables (fluid pressure and vap...

The aim of this study is to find the optimal water pressure and percentage of supply vapour in the feed water heaters (fwhs) of steam power plants, such that they maximize the thermal efficiency of the Rankine cycle within pre-specified values of minimum and maximum pressures of the thermodynamic cycle. Thermal efficiency is defined as a function of unknown variables (fluid pressure and vap...

This paper presents a sensor fault detection and diagnosis approach for industrial combustion processes. Clustering algorithms are applied to the measurements of controllable process variables involved in single-input-single-output feedback control loops. Current data points from the process are compared with the clusters to identify sensor faults. Once the measurements of controllable process ...

This paper reviews the use of computational flow simulation for aircraft design. While computational simulation has already yielded great benefits, its impact continues to be restricted by computational and human costs. The requirements of the design process are examined in detail. In current practice there are bottlenecks in geometry modelling, data handling and mesh generation. To exploit com...

An innovative design methodology has been implemented and used to address the intricate exercise of high speed inlets design. An eecient and robust process allows to optimize the aerodynamic performance of inlets. This optimization process links together an optimizer with a fast and accurate simulation tool into an automated optimization loop. This paper presents the implementation of these new...