Design, multi-aspect analyses, and multi-objective optimization of a novel trigeneration system based on geothermal and municipal solid waste energies

被引:6
|
作者
Cuan, Zhangyu [1 ]
Chen, Youming [1 ]
Kumar, M. Saravana [2 ]
机构
[1] Hunan Univ, Coll Civil Engn, Changsha 410082, Hunan, Peoples R China
[2] Mt Zion Coll Engn & Technol, Dept Mech Engn, Pudukottai 622507, Tamilnadu, India
关键词
Municipal solid waste; Geothermal system; Double-effect absorption refrigeration cycle; Multi-source system; Multi-objective optimization; ORGANIC RANKINE-CYCLE; THERMODYNAMIC ANALYSIS; GAS-TURBINE; COGENERATION; KALINA; HEAT;
D O I
10.1016/j.psep.2023.06.062
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The study of multi-source energy systems, due to higher performance and producing various products, is an interesting subject. The current study designs a multi-source system including a gas turbine cycle with CH4 and municipal solid waste digester, a geothermal system with an organic Rankine, organic flash, and a double-effect absorption refrigeration subsystem to produce power, cooling, and heating loads simultaneously. The thermodynamic and economic analyses are utilized to estimate the system's performance and multi-objective optimization has been applied to define the optimum state of the system concerning two scenarios. The results indicate that the system provides 423.4 kW net power, 384.7 kW heating load, and 106.3 kW cooling load with 39.28% exergetic efficiency and 6.67 years payback period. These values are improved to 664.9 kW net power, 446.5 heating load, 42.01% exergetic efficiency, and 6.05 years payback period at the best optimum scenario. The sensitivity analysis reveals that the air compressor's pressure ratio mainly impacts the net power, heating load production, and net present value. The cooling load production and exergetic efficiency are mainly affected by the air preheater effectiveness variation.
引用
收藏
页码:581 / 597
页数:17
相关论文
共 50 条
  • [31] Structure design and multi-objective optimization of a novel NPR bumper system
    Wang, ChunYan
    Wang, WeiWei
    Zhao, WanZhong
    Wang, Yuanlong
    Zhou, Guan
    COMPOSITES PART B-ENGINEERING, 2018, 153 : 78 - 96
  • [32] Geothermal Sourced Trigeneration Plant for Puga Valley: Techno-Economic Analysis and Multi-Objective Optimization
    Ramachandran, Siddharth
    Bhogilla, Satya Sekhar
    Vijayan, Pallippattu Krishnan
    THERMAL SCIENCE AND ENGINEERING PROGRESS, 2025, 60
  • [33] Development of a New Municipal Solid Waste Management System: Multi-Objective Programming for a Merged Metropolis
    Wu, Edward Ming-Yang
    Tsai, Chia-Cheng
    Lin, Chitsan
    Kuo, Shu-Lung
    Kang, Zhi-Bo
    ENVIRONMENTAL ENGINEERING SCIENCE, 2013, 30 (04) : 153 - 160
  • [34] Proposal and multi-aspect assessment of a novel solar-based trigeneration system; investigation of zeotropic mixture's utilization
    Mahdavi, Naser
    Ghaebi, Hadi
    Minaei, Asgar
    APPLIED THERMAL ENGINEERING, 2022, 206
  • [35] Multi-objective optimization in reliability based design
    El Sayed, MF
    Edghill, M
    Housner, J
    COMPUTER AIDED OPTIMUM DESIGN OF STRUCTURES VI, 1999, 5 : 161 - 169
  • [36] Multi-objective optimization in reliability based design
    El Sayed, M.
    Edghill, M.
    Housner, J.
    International Conference on Computer Aided Optimum Design of Structures, OPTI, Proceedings, 1999, 5 : 161 - 169
  • [37] Novel steel wheel design based on multi-objective topology optimization
    Denghong Xiao
    Hai Zhang
    Xiandong Liu
    Tian He
    Yingchun Shan
    Journal of Mechanical Science and Technology, 2014, 28 : 1007 - 1016
  • [38] A novel method for multi-objective design optimization based on fuzzy systems
    Setayandeh, M. R.
    Babaei, A. R.
    IRANIAN JOURNAL OF FUZZY SYSTEMS, 2021, 18 (05): : 181 - 198
  • [39] Novel steel wheel design based on multi-objective topology optimization
    Xiao, Denghong
    Zhang, Hai
    Liu, Xiandong
    He, Tian
    Shan, Yingchun
    JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2014, 28 (03) : 1007 - 1016
  • [40] A multi-objective optimization approach for a fault geothermal system based on response surface method
    Ye, Zhiwei
    Wang, J. G.
    Yang, Jiajie
    GEOTHERMICS, 2024, 117