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
  • [31] Power Generation Simulation of a Hydropower Reservoir System Using System Dynamics: Case Study of Karoon Reservoir System
    Jahandideh-Tehrani, Mahsa
    Bozorg-Haddad, Omid
    Marino, Miguel A.
    JOURNAL OF ENERGY ENGINEERING, 2014, 140 (04)
  • [32] Transfer function-noise modelling of an aquifer system in NE Italy
    Fabbri, Paolo
    Gaetan, Carlo
    Zangheri, Pietro
    HYDROLOGICAL PROCESSES, 2011, 25 (02) : 194 - 206
  • [33] USING CFD FOR MODELLING LOW HEAD HYDROPOWER MACHINES
    Narrain, Pradeep
    Wright, Nigel G.
    PROCEEDINGS OF THE 36TH IAHR WORLD CONGRESS: DELTAS OF THE FUTURE AND WHAT HAPPENS UPSTREAM, 2015, : 3067 - 3077
  • [34] Evaluation of Heat Transfer Performance of Solar Water Heating System using Dimension Analysis
    Yahya, Nur Wardhyana
    Prasad, D. M. Reddy
    Sathiyamoorthy, Dakshinamoorthy
    THEORETICAL FOUNDATIONS OF CHEMICAL ENGINEERING, 2023, 57 (06) : 1618 - 1626
  • [35] Evaluation of Heat Transfer Performance of Solar Water Heating System using Dimension Analysis
    Nur Wardhyana Yahya
    D. M. Reddy Prasad
    Dakshinamoorthy Sathiyamoorthy
    Theoretical Foundations of Chemical Engineering, 2023, 57 : 1618 - 1626
  • [36] Modelling the performance of single-input-single-output (SISO) processes using transfer function and fuzzy logic
    Nwobi-Okoye, Chidozie Chukwuemeka
    OPSEARCH, 2020, 57 (03) : 815 - 836
  • [37] Evaluation of FO membranes performance using a modelling approach
    Chaoui, Imane
    Ndiaye, Issa
    Abderafi, Souad
    Vaudreuil, Sebastien
    Bounahmidi, Tijani
    DESALINATION AND WATER TREATMENT, 2021, 223 : 71 - 98
  • [38] Modelling a stochastic profit system using gauge function
    Han, Yongseung
    APPLIED ECONOMICS LETTERS, 2012, 19 (09) : 823 - 827
  • [39] PERFORMANCE EVALUATION OF HYDROVAC GRAVITY POWER GENERATION SYSTEM
    Ansari, R. I.
    Sahir, M. H.
    ENGINEERING MECHANICS 2014, 2014, : 48 - 51
  • [40] Evaluation and modelling of rural electrical load feeding by photovoltaic generation system
    Fahmy, Faten Hosny
    International Journal of Power and Energy Systems, 1999, 19 (01): : 71 - 74