Sustainable energy design of cruise ships through dynamic simulations: Multi-objective optimization for waste heat recovery

被引:53
|
作者
Barone, Giovanni [1 ]
Buonomano, Annamaria [1 ,2 ]
Forzano, Cesare [3 ]
Palombo, Adolfo [1 ]
Vicidomini, Maria [1 ]
机构
[1] Univ Naples Federico II, Dept Ind Engn, Ple Tecchio 80, I-80125 Naples, Italy
[2] Concordia Univ, Dept Bldg Civil & Environm Engn, 1455 DC Maisonneuve Blvd W, Montreal, PQ, Canada
[3] Free Univ Bozen Bolzano, Fac Sci & Technol, Piazza Univ 5, I-39100 Bozen Bolzano, Italy
关键词
Dynamic simulation energy performance simulation; Thermo-economic optimization; Heat recovery; Cruise ships; COOLING SYSTEM; FUEL-CELL; REFRIGERATION; POWER; EMISSIONS; CONSUMPTION;
D O I
10.1016/j.enconman.2020.113166
中图分类号
O414.1 [热力学];
学科分类号
摘要
Modern cruise ships are energivorous systems and their design is challenging due to stringent restrictions on the environmental impact recently imposed by the International Maritime Organization. Nowadays, energy saving technologies and strategies for ships can be selected and analysed by means of system dynamic simulations. In this paper this innovative goal is obtained through TRNSYS where the ship-envelope and the related energy system are modelled and simulated by means of new customized weather data with the aim to optimize the system energy performance by considering different objective function (maximum energy saving, minimum payback, etc.). To show the effectiveness of the proposed approach, a novel case study is presented. It refers to a modern cruise ship fuelled by liquefied natural gas cruising in Mediterranean and Caribbean seas. Novel hourly weather files are developed for accounting actual locations and orientations of the moving ship. Low-, mediumand high-temperature engines waste heat recoveries are exploited for supplying different thermally activated energy saving devices. Results of the conducted optimization procedure show significant reductions of fuel consumption (between 0.1 and 1.9 kt/y), operating costs (up to 615 k(sic)/y), and pollutant emissions with respect to traditional systems. Short paybacks are obtained (lower than 5 years), depending on the considered innovative system layouts. Finally, useful design and operating criteria for ship manufacturers and users are provided.
引用
收藏
页数:23
相关论文
共 50 条
  • [31] Exergoeconomic investigation and multi-objective optimization of different ORC configurations for waste heat recovery: A comparative study
    Nondy, J.
    Gogoi, T. K.
    ENERGY CONVERSION AND MANAGEMENT, 2021, 245
  • [32] Multi-objective optimization of turbo-ORC systems for waste heat recovery on passenger car engines
    Rosset, Kevin
    Mounier, Violette
    Guenat, Eliott
    Schiffmann, Jurg
    ENERGY, 2018, 159 : 751 - 765
  • [33] Design and thermodynamic analysis of a novel methanol cogeneration system based on waste energy recovery and water electrolysis, and multi-objective optimization
    Ma, Xin
    Zhang, Xin
    Hou, Meiling
    Nie, Tingting
    Yu, Yan
    Fu, Chao
    INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2024, 66 : 548 - 561
  • [34] Sustainable Multi-Objective Models for Waste-to-Energy and Waste Separation Site Selection
    Taghipour, Atour
    Foukolaei, Parvaneh Zeraati
    Ghaedi, Maryam
    Khazaei, Moein
    SUSTAINABILITY, 2023, 15 (22)
  • [35] Multi-Objective Optimization to Support the Design of a Sustainable Supply Chain for the Generation of Biofuels from Forest Waste
    Gutierrez-Franco, Edgar
    Polo, Andres
    Clavijo-Buritica, Nicolas
    Rabelo, Luis
    SUSTAINABILITY, 2021, 13 (14)
  • [36] Multi-Objective Optimization of Organic Rankine Cycle (ORC) for Tractor Waste Heat Recovery Based on Particle Swarm Optimization
    Pan, Wanming
    Li, Junkang
    Zhang, Guotao
    Zhou, Le
    Tu, Ming
    ENERGIES, 2022, 15 (18)
  • [37] Multi-objective robust optimization of multi-energy microgrid with waste treatment
    Sun, Peng
    Yun, Teng
    Chen, Zhe
    RENEWABLE ENERGY, 2021, 178 : 1198 - 1210
  • [38] Multi-objective robust optimization of multi-energy microgrid with waste treatment
    Sun, Peng
    Yun, Teng
    Chen, Zhe
    Renewable Energy, 2021, 178 : 1198 - 1210
  • [39] Multi-objective dynamic optimization of hybrid renewable energy systems
    Sharma, Reena
    Kodamana, Hariprasad
    Ramteke, Manojkumar
    CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION, 2022, 180
  • [40] Multi-objective dynamic optimization of hybrid renewable energy systems
    Sharma, Reena
    Kodamana, Hariprasad
    Ramteke, Manojkumar
    CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION, 2022, 170