A sequential approach for gas turbine power plant preventive maintenance scheduling

被引:0
|
作者
Zhao, Yongjun [1 ]
Volovoi, Vitali [1 ]
Waters, Mark [1 ]
Mavris, Dirnitri [1 ]
机构
[1] Georgia Inst Technol, Sch Aerosp Engn, Atlanta, GA 30332 USA
关键词
POLICIES; SYSTEMS;
D O I
暂无
中图分类号
O414.1 [热力学];
学科分类号
摘要
Traditionally the gas turbine power plant preventive maintenances are scheduled with constant maintenance intervals based on recommendations from the equipment suppliers. The preventive maintenances are based on fleet wide experiences, and they are scheduled in a one-size-fit-all fashion. However, in reality, the operating conditions for each gas turbine may vary from site to site, and from unit to unit. Furthermore, the gas turbine is a repairable deteriorating system, and preventive maintenance usually restores only part of its performance. This suggests the gas turbines need more frequent inspection and maintenance as it ages. A unit specific sequential preventive maintenance approach is therefore needed for gas turbine power plants preventive maintenance scheduling. Traditionally the optimization criteria for preventive maintenance scheduling is usually cost based. In the deregulated electric power market, a profit based optimization approach is expected to be more effective than the cost based approach. In such an approach, power plant performance, reliability, and the market dynamics are considered in a joint fashion. In this paper, a novel idea that economics drive maintenance expense and frequency to more frequent repairs and greater expense as the equipment and components age is introduced, and a profit based unit specific sequential preventive maintenance scheduling methodology is developed.. To demonstrate the feasibility of the proposed approach, this methodology is implemented using a base load combined cycle power plant with single gas turbine unit.
引用
收藏
页码:353 / 362
页数:10
相关论文
共 50 条
  • [1] A sequential approach for gas turbine power plant preventative maintenance scheduling
    Zhao, Yongjun
    Volovoi, Vitali
    Waters, Mark
    Mavris, Dimitri
    JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME, 2006, 128 (04): : 796 - 805
  • [2] Nuclear Power Plant Preventive Maintenance Scheduling Problem with Fuzziness
    Abass, Samir A.
    Abdallah, Asmaa S.
    ARAB JOURNAL OF NUCLEAR SCIENCES AND APPLICATIONS, 2013, 46 (01): : 172 - 178
  • [3] Application of Benders' decomposition to power plant preventive maintenance scheduling
    Perez Canto, Salvador
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2008, 184 (02) : 759 - 777
  • [4] An optimal maintenance policy for compressor of a gas turbine power plant
    Rao, P. Naga Srinivasa
    Naikan, V. N. Achutha
    JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME, 2008, 130 (02):
  • [5] PREVENTIVE MAINTENANCE OF GAS PLANT EQUIPMENT
    HOPKINS, CD
    CHEMICAL ENGINEERING PROGRESS, 1970, 66 (06) : 60 - &
  • [6] MPEC approach for solving preventive maintenance scheduling of power units in a market environment
    Toutounchi, A. Naebi
    Shenava, S. J. Seyed
    Taheri, S. S.
    Shayeghi, H.
    TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2018, 40 (02) : 436 - 445
  • [7] An approach for evaluating preventive maintenance scheduling cost
    Oke, S. A.
    Charles-Owaba, O. E.
    INTERNATIONAL JOURNAL OF QUALITY & RELIABILITY MANAGEMENT, 2006, 23 (07) : 847 - +
  • [8] Preventive maintenance scheduling of the pulping unit in a paper plant
    Harish Garg
    Monica Rani
    S. P. Sharma
    Japan Journal of Industrial and Applied Mathematics, 2013, 30 : 397 - 414
  • [9] Preventive maintenance scheduling of the pulping unit in a paper plant
    Garg, Harish
    Rani, Monica
    Sharma, S. P.
    JAPAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS, 2013, 30 (02) : 397 - 414
  • [10] A multistage stochastic programming approach for preventive maintenance scheduling of GENCOs with natural gas contract
    Huang, Zhouchun
    Zheng, Qipeng Phil
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2020, 287 (03) : 1036 - 1051