Performance evaluation of hydropower generation system using transfer function modelling

被引:15
|
作者
Nwobi-Okoye, Chidozie Chukwuemeka [1 ,2 ]
Igboanugo, Anthony Clement [2 ]
机构
[1] Anambra State Univ, Dept Comp Sci, Uli, Anambra State, Nigeria
[2] Univ Benin, Dept Prod Engn, Benin, Edo State, Nigeria
关键词
Transfer function; Hydropower; Electricity generation; Performance indicators; Modelling;
D O I
10.1016/j.ijepes.2012.04.059
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Poor electricity generation in Nigeria is a very serious problem. The low power generation is caused in part by the ineffective maintenance and inefficient performance of Nigeria's power generation facilities. The aim of this study is to develop a new and better way of evaluating the performance of hydropower generation facilities in order to improve their performance using transfer function modelling. It involves taking input-output data from a hydropower generation process over a 10-year period and developing transfer function models of the process for the 10 years, which are used as performance indicators. Based on the performance indicators obtained from the models, the results show that the efficiency of the power generation facility was worst in the year 2006 and best in 2003. Generally the indicators (coefficient of performance) were undulating over the 10-year period. Finally based on the fact the power plant has under performed over the years, a value of coefficient of performance which must be above the highest coefficient of performance of 7.523 obtained was suggested as a benchmark below which a hydropower plant is assumed to have under performed. The result of this study is expected to open new ways to improving maintenance effectiveness and operations efficiency of power generation facilities. The study would be of immense help in improving power generation in Nigeria and elsewhere. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:245 / 254
页数:10
相关论文
共 50 条
  • [21] Evaluation of a multi-reservoir hydropower system using a simulation model
    Arunkumar, R. (arunkumar.r@iitb.ac.in), 1600, Taylor and Francis Ltd. (20):
  • [22] Inflow Scenario Generation for the Ethiopian Hydropower System
    Dires, Firehiwot Girma
    Amelin, Mikael
    Bekele, Getachew
    WATER, 2023, 15 (03)
  • [23] Performance evaluation and modelling of an integrated municipal wastewater treatment system using neural networks
    Mokhtari, Habib A.
    Bagheri, Majid
    Mirbagheri, Sayed Ahmad
    Akbari, Ali
    WATER AND ENVIRONMENT JOURNAL, 2020, 34 (34) : 622 - 634
  • [24] Power system components modelling and reliability evaluation of generation capacity
    Saket, R.K.
    Bansal, R.C.
    Singh, Gurmit
    International Journal of Reliability and Safety, 2009, 3 (04) : 427 - 441
  • [25] The Performance of Control Charts Using Transfer Function
    Russo, Suzana Leitao
    Camargo, Maria Emilia
    Gassen, Ivonne Maria
    CIE: 2009 INTERNATIONAL CONFERENCE ON COMPUTERS AND INDUSTRIAL ENGINEERING, VOLS 1-3, 2009, : 1868 - 1873
  • [26] TRANSFER-FUNCTION EVALUATION USING A CALCULATOR
    PERRY, DF
    ELECTRONIC ENGINEERING, 1979, 51 (631): : 29 - &
  • [28] Fabrication and performance evaluation of the thermoelectric generation and performance measuring system
    Wang, Yu
    Zheng, Wenbo
    Wu, Zhifei
    High Technology Letters, 2008, 14 (02) : 199 - 204
  • [29] Modelling a general standby system and evaluation of its performance
    Cha, Ji Hwan
    Mi, Jie
    Yun, Won Young
    APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY, 2008, 24 (02) : 159 - 169
  • [30] Hydropower Generation Optimization and Forecasting Using PSO
    Kiruthiga, D.
    Amudha, T.
    COMPUTATIONAL INTELLIGENCE IN DATA MINING, 2019, 711 : 411 - 421