Multi-objective optimization and sensitivity analysis of a cogeneration system for a hospital facility

被引:24
|
作者
Muccillo, M. [1 ]
Gimelli, A. [1 ]
Sannino, R. [1 ]
机构
[1] Univ Naples Federico II, Dept Ind Engn, Naples, Italy
关键词
Combined Heat and Power (CHP); Multi-Objective Optimization; Hospital Facility; Internal Combustion Engine (ICE); TRIGENERATION SYSTEMS; ENVIRONMENTAL ASPECTS;
D O I
10.1016/j.egypro.2015.12.043
中图分类号
O414.1 [热力学];
学科分类号
摘要
Combined heat and power plants are recognized as very effective solutions to achieve the increasingly stringent requirements in primary energy saving. The paper addresses the use of a specifically developed methodology to conduct several analyses on the basis of the loads of a specific hospital facility and through the study of the cogeneration system-user interaction. Predictive analyses are carried out using a multi-objective approach to find optimized plant configurations that approaches the best energetic results while ensuring a reasonable profit. Optimized plant configurations and management strategies indicate primary energy savings exceeding 17%. Finally, a sensitivity analysis is carried out to evaluate the robustness of the results (C) 2015 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:585 / 596
页数:12
相关论文
共 50 条
  • [31] Multi-objective optimization of facility planning for energy intensive companies
    Lei Yang
    Jochen Deuse
    Pingyu Jiang
    Journal of Intelligent Manufacturing, 2013, 24 : 1095 - 1109
  • [32] Methods for multi-objective optimization: An analysis
    Giagkiozis, I.
    Fleming, P. J.
    INFORMATION SCIENCES, 2015, 293 : 338 - 350
  • [33] Multi-objective optimization of a cogeneration system based on solar energy for clean hydrogen, cooling, and electricity production
    Bedakhanian, Ali
    Maleki, Akbar
    Haghighat, Siavash
    CASE STUDIES IN THERMAL ENGINEERING, 2024, 54
  • [34] Multi-objective optimization of a new cogeneration system driven by gas turbine cycle for power and freshwater production
    Ding, Pan
    Liu, Xiaojuan
    Qi, Hongling
    Shen, Hongtao
    Liu, Xiaochan
    Farkoush, Saeid Gholami
    JOURNAL OF CLEANER PRODUCTION, 2021, 288
  • [35] Multi-objective optimization of a new cogeneration system driven by gas turbine cycle for power and freshwater production
    Ding, Pan
    Liu, Xiaojuan
    Qi, Hongling
    Shen, Hongtao
    Liu, Xiaochan
    Farkoush, Saeid Gholami
    Journal of Cleaner Production, 2021, 288
  • [36] Multi-objective optimization of heat exchange network and thermodynamic cycles integrated system for cooling and power cogeneration
    Sun, Xiaojing
    Zhuang, Yu
    Liu, Linlin
    Dong, Yachao
    Zhang, Lei
    Du, Jian
    APPLIED ENERGY, 2022, 321
  • [37] Multi-objective optimization of process cogeneration systems with economic, environmental, and social tradeoffs
    Hisham S. Bamufleh
    José María Ponce-Ortega
    Mahmoud M. El-Halwagi
    Clean Technologies and Environmental Policy, 2013, 15 : 185 - 197
  • [38] Sensitivity analysis and multi-objective optimization of organic Rankine cycle integrated with vapor compression refrigeration system
    Ashwni
    Ahmad, Sherwani
    Tiwari, Deepak
    Anil, Kumar
    ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS, 2021,
  • [39] Multi-objective based configuration optimization of SOFC-GT cogeneration plant
    Hajabdollahi, Zahra
    Fu, Pei-Fang
    APPLIED THERMAL ENGINEERING, 2017, 112 : 549 - 559
  • [40] Multi-objective optimization of process cogeneration systems with economic, environmental, and social tradeoffs
    Bamufleh, Hisham S.
    Maria Ponce-Ortega, Jose
    El-Halwagi, Mahmoud M.
    CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY, 2013, 15 (01) : 185 - 197