Project Title : USE OF ARTIFICIAL INTELLIGENCE FOR DEVELOPING A NOVEL COAL PREPARATION PLANT SIMULATOR

نویسنده

  • Manoj K. Mohanty
چکیده

Coal preparation plant simulators are computer programs used to evaluate the performance of a preparation plant for given feed coal characteristics and the type of process flowsheet selected. However, none of the commercially available plant simulators attempts to maximize the overall plant yield for alternative flowsheets and also select the most suitable circuit configuration based on maximized plant profitability. In addition, none of these simulators has the ability to determine the required operating conditions for satisfying multiple product quality constraints while maintaining plant yield at its maximum level. This study developed a comprehensive plant simulator that not only maximizes overall plant yield while satisfying multiple product quality constraints for various circuit configurations, but also recommends the best circuit configuration based on maximized plant profitability. This new simulator, named as SIU-Sim, utilizes genetic algorithms, an artificial intelligence based optimization technique, to maximize overall plant yield for each alternative plant flowsheet. Furthermore, it utilizes the net present value (NPV) analysis technique to maximize plant profitability considering the total life of a new plant and the remaining life of an existing coal preparation plant. The new simulator has been tested for its utility with size-by-size feed characteristics obtained from a preparation plant processing Illinois coal. For the coal washability characteristics of that plant, a water-only plant was shown to be more profitable than a heavy media-based plant, although the latter provides better separation efficiency. The differential cost of a wateronly plant versus a heavy media plant outweighs the incremental benefit obtained from the latter in the form of higher plant yield. It is believed that this simulator will be extremely useful for Illinois coal companies in selecting the most suitable cleaning alternative for new preparation plants as well as in upgrading existing plants to ensure maximum plant profitability.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Use of density tracers in evaluating performance of Tri-Flo circuits Case study: Tabas (Iran) coal preparation plant

In the Tabas coal preparation plant (SE Iran), -50 + 6 mm raw coal was treated in a 700 mm two-stage two-density Tri-Flo dynamic dense medium separator. In order to study the circuit performance and to evaluate the separator efficiency, 32 mm cubic density tracers were used in the range of 1.28-2.1 g/cm3 and under different operational conditions. The performance of Tri-Flo was evaluated in a r...

متن کامل

Prediction of Bubble Point Pressure & Asphaltene Onset Pressure During CO2 Injection Using ANN & ANFIS Models

Although CO2 injection is one of the most common methods in enhanced oil recovery, it could alter fluid properties of oil and cause some problems such as asphaltene precipitation. The maximum amount of asphaltene precipitation occurs near the fluid pressure and concentration saturation. According to the description of asphaltene deposition onset, the bubble point pressure has a very special imp...

متن کامل

A RISC-V Extension for the Fresh Breeze Architecture

We report on a RISC-V extension for a novel multi-core computer organization able to execute applications with high performance and energy efficiency. Novel features of this architecture include support for data objects represented by trees of 128-byte memory chunks, and hardware implementation of task scheduling and load balancing. We call our project Fresh Breeze1 in view of its novelty and p...

متن کامل

Implementing tutoring strategies into a patient simulator for clinical reasoning learning

OBJECTIVE This paper describes an approach for developing intelligent tutoring systems (ITS) for teaching clinical reasoning. MATERIALS AND METHODS Our approach to ITS for clinical reasoning uses a novel hybrid knowledge representation for the pedagogic model, combining finite state machines to model different phases in the diagnostic process, production rules to model triggering conditions f...

متن کامل

An Intelligent Approach in Monitoring and Controlling of Bunker Coal Level in Thermal Power Plant

Currently coal fired power plant requires bunker or stock piles in order to place the coal for storage purpose and to use it effectively when demand arises. Real time sensors are used to sense level of the coal and to pass data to computational systems for processing hence further actions such as refilling and distributing of coal can be automated. Further the control action in level sensing ca...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2005