End-use energy analysis in the Malaysian industrial sector

被引:64
|
作者
Saidur, R. [1 ]
Rahim, N. A. [2 ]
Masjuki, H. H. [1 ]
Mekhilef, S. [2 ]
Ping, H. W. [2 ]
Jamaluddin, M. F. [3 ]
机构
[1] Univ Malaya, Dept Mech Engn, Kuala Lumpur 50603, Malaysia
[2] Univ Malaya, Dept Elect Engn, Kuala Lumpur 50603, Malaysia
[3] Head Off, TNB, Kuala Lumpur, Malaysia
关键词
Energy use; Industrial sector; Specific energy use; Energy savings; Energy audit; GREENHOUSE-GAS EMISSIONS; HOUSEHOLD SECTOR; IMPROVEMENT; MITIGATION; INTENSITY; FUTURE; AUDIT;
D O I
10.1016/j.energy.2008.11.004
中图分类号
O414.1 [热力学];
学科分类号
摘要
The industrial sector is the second largest consumer of energy in Malaysia. In this energy audit, the most important parameters that have been collected are as follows: power rating and operation time of energy-consuming equipments/machineries; fossil fuel and other sources of energy use; production figure; peak and off-peak tariff usage behavior and power factor. These data were then analyzed to investigate the breakdown of end-use equipments/machineries energy use, the peak and off-peak usage behavior, power factor trend and specific energy use. The results of the energy audit showed that the highest electrical energy-using equipment was an electric motor followed by pumps and air compressors. The specific energy use has been estimated and compared with four Indonesian industries and it was found that three Malaysian industries were more efficient than the Indonesian counterpart. The study also found that about 64% electrical energy was used in peak hours by the industries and the average power factor ranged from 0.88 to 0.92. The study also estimated energy and bill savings using highly efficient electrical motors along with the payback period. (c) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码:153 / 158
页数:6
相关论文
共 50 条
  • [21] DEVELOPMENT AND VALIDATION OF A RESIDENTIAL SECTOR ENERGY END-USE PREDICTION MODEL TO ESTIMATE RESIDENTIAL ENERGY CONSUMPTION IN JAPAN
    Aoki, Takuya
    Habara, Hiromi
    Shimoda, Yoshiyuki
    BUILDING SIMULATION 2013: 13TH INTERNATIONAL CONFERENCE OF THE INTERNATIONAL BUILDING PERFORMANCE SIMULATION ASSOCIATION, 2013, : 2519 - 2526
  • [22] Assessing end-use relevance of public sector research organisations
    Lyall, C
    Bruce, A
    Firn, J
    Firn, M
    Tait, J
    RESEARCH POLICY, 2004, 33 (01) : 73 - 87
  • [23] Modeling and forecasting industrial end-use natural gas consumption
    Sanchez-Ubeda, Eugenio Fco.
    Berzosa, Ana
    ENERGY ECONOMICS, 2007, 29 (04) : 710 - 742
  • [24] Prediction of greenhouse gas reduction potential in Japanese residential sector by residential energy end-use model
    Shimoda, Yoshiyuki
    Yamaguchi, Yukio
    Okamura, Tomo
    Taniguchi, Ayako
    Yamaguchi, Yohei
    APPLIED ENERGY, 2010, 87 (06) : 1944 - 1952
  • [25] Disaggregated End-Use Energy Sensing for the Smart Grid
    Froehlich, Jon
    Larson, Eric
    Gupta, Sidhant
    Cohn, Gabe
    Reynolds, Matthew S.
    Patel, Shwetak N.
    IEEE PERVASIVE COMPUTING, 2011, 10 (01) : 28 - 39
  • [26] THE POTENTIAL FOR ENERGY EFFICIENCY IN ELECTRIC END-USE TECHNOLOGIES
    WIKLER, G
    FARUQUI, A
    GELLINGS, CW
    SEIDEN, K
    IEEE TRANSACTIONS ON POWER SYSTEMS, 1993, 8 (03) : 1351 - 1357
  • [27] A residential end-use energy consumption model for Canada
    Farahbakhsh, H
    Ugursal, VI
    Fung, AS
    INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 1998, 22 (13) : 1133 - 1143
  • [28] Consumer End-Use Energy Efficiency and Rebound Effects
    Azevedo, Ines M. L.
    ANNUAL REVIEW OF ENVIRONMENT AND RESOURCES, VOL 39, 2014, 39 : 393 - 418
  • [29] Energy End-use Model of the Jordanian SMES Industries
    Al-Bashir, Adnan
    Al-Ghandoor, Ahmed
    Abdallat, Yousef
    Al-Hadethi, Rami
    PROCEEDINGS OF THE SIXTH GLOBAL CONFERENCE ON POWER CONTROL AND OPTIMIZATION, 2012, 1499 : 151 - 163
  • [30] Energy end-use characterization at Fort Hood, Texas
    Lawrence Berkeley Natl Lab, Berkeley, United States
    ASHRAE Trans, 2 (724-733):