This study aims to evaluate the performance of sewage treatment plant in Al-Diwaniya, one cities southern part Iraq. evaluation could be used facilitate effluent quality assessment or optimal process control plant. The influent reaching is considered a medium strong strength with BOD5/COD ratio range 0.23 and 0.69 which can an easily degradable by biological processes performed activated sludge...

Flaring emissions during abnormal operating conditions such as plant start-ups, shut-downs, and upsets in chemical process industries (CPI) are usually significant. Flare minimization can help to save raw material and energy for CPI plants, and to improve local environmental sustainability. In this paper, a systematic methodology based on plant-wide dynamic simulation is presented for CPI plant...

Process capability indices (PCIs) can be used as an effective tool for measuring product quality and process performance. In classic quality control there are some limitations which prevent a deep and flexible analysis because of the crisp definition of PCA‟s parameters. Fuzzy set theory can be used to add more flexibility to process capability analyses. In this study, the fuzzy X ba and MRx ba...

Plant-wide oscillations are common in many processes. Their effects propagate to many units and may impact the overall process performance. It is important to detect and diagnose the cause of such oscillations in order to rectify the situation and maintain the proper profitability of the plant. This paper proposes a new procedure to detect and diagnose plant-wide oscillations using routine oper...

−Model Predictive Control (MPC) has recently found wide acceptance in industrial applications, but its potential has been much impeded by linear models due to the lack of a similarly accepted nonlinear modeling or databased technique. Aimed at solving this problem, the paper addresses three issues: (i) extending second-order Volterra nonlinear MPC (NMPC) to higher-order for improved prediction ...

Dynamic analysis and monitoring is of great importance in industrial process plant. Very often, a qualitative analysis of process data is enough to analyze the situation of the plant. This paper introduces a methodology to analyze qualitative trend of time series data at first. Based on the methodology, a method to diagnose a control valve in a process control loop is introduced. The proposed d...

This review aims at assessing the opportunities and challenges of creating using digital twins for process industrial systems over their life-cycle in context estimation control. The scope is, therefore, to provide a survey on mechanisms generate models machine learning (purely data-driven) automated equation-based modeling. In particular, we consider learning, validation, updating large-scale ...

______________________ Abstract: Bi-level programming, a tool for modeling decentralized decisions, consists of the objective(s) of the leader at its first level and that is of the follower at the second level. Three level programming results when second level is itself a bi-level programming. By extending this idea it is possible to define multi-level programs with any number of levels. Supply...