EEPIS Repository

SIMULASI SISTEM KONTROL INDUCED DRAFT FAN SEBAGAI FURNACE PRESSURE CONTROL PADA BOILER PLTU PAITON UNIT 7&8

KHAKAM, MAULA NURUL and Hendriawan, Akhmad (2010) SIMULASI SISTEM KONTROL INDUCED DRAFT FAN SEBAGAI FURNACE PRESSURE CONTROL PADA BOILER PLTU PAITON UNIT 7&8. EEPIS Final Project.

[img]
Preview
PDF - Published Version
Download (2153Kb) | Preview

    Abstract

    The core of a steam power plant is to change the chemical energy into electrical energy, and the most important part is the burning of the boilers that convert water into superheated steam to drive the turbine blades that are coupled with a generator and produce electricity. Combustion in boilers is influenced by several factors, including the pressure regulated by the Furnace Pressure Control serves to maintain the boiler combustion pressure remains below atmospheric pressure (slight-negative), and issued the results of the combustion gases (flue-gas) boiler to the atmosphere by the induced draft Fan blade pitch to control the position of (fan) from ID Fan is controlled DCS (Distributed Control System) Bailey The final project is to make simulation software control system induced draft (ID-Fan), which was built using the software Visual Basic 6.0 based on function and calculation logic diagram of DCS Bailey Paiton 7 & 8 and use the controls APID (Advanced Proportional Integral Derrivative) which process the signal error between the process variables of 3 indicating pressure (BG-PI-548), BF-PI-697, and BF-PI-699), as well as feed-forward from Forced-draft fan demand and output of a Primary Water Demand by the end of the ID Fan blade pitch which controls a large demand ID Fan fan angle, the final output is saved into the file. csv (Comma Separated Values) and can be sent to other computers as actuator ID Fan through Winsock Control. The simulation will show the reaction of the blade pitch to demand ID Fan, after comparison with actual data from the PI blade pitch-Processbook demand, the percentage of errors en-fan blade pitch demand between actual data with the simulation is 0.560259 % with the biggest error is 3.371956 % during up-rising trend condition, although when downing trend condition error is about 1.784202% with the biggest deviation error is 6.740126411 %. Simulator so that it can represent the control ID Fan blade pitch used at Paiton 7 & 8. Keywords:Simulation, Boiler, Furnace Pressure Control, ID-Fan, DCS Bailey, Advanced PID, Visual Basic 6.0, PI-Processbook, Winsock Control.

    Item Type: Article
    Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Q Science > QA Mathematics > QA76 Computer software
    Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
    Depositing User: Ms Gita Amelia
    Date Deposited: 15 Apr 2011 21:41
    Last Modified: 15 Apr 2011 21:41
    URI: http://repo.eepis-its.edu/id/eprint/277

    Actions (login required)

    View Item