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
  • [41] Implementing the dynamic simulation approach for the design and optimization of ships energy systems: Methodology and applicability to modern cruise ships
    Barone, G.
    Buonomano, A.
    Forzano, C.
    Palombo, A.
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2021, 150
  • [42] Multi-objective optimization procedure for the wing design at cruise and low-speed conditions
    Bolsunovsky, Anatoly L.
    Gubanova, Maria A.
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING, 2013, 227 (G2) : 254 - 265
  • [43] Intermodal Routing Model for Sustainable Transport Through Multi-objective Optimization
    Vale, Cecilia
    Ribeiro, Isabel M.
    INTELLIGENT TRANSPORT SYSTEMS, FROM RESEARCH AND DEVELOPMENT TO THE MARKET UPTAKE, INTSYS 2018, 2019, 267 : 144 - 154
  • [44] Multi-objective optimization of solid waste flows: Environmentally sustainable strategies for municipalities
    Minciardi, Riccardo
    Paolucci, Massimo
    Robba, Michela
    Sacile, Roberto
    WASTE MANAGEMENT, 2008, 28 (11) : 2202 - 2212
  • [45] Multi-objective optimization and off-design evaluation of organic rankine cycle (ORC) for low-grade waste heat recovery
    Wang, Lingbao
    Bu, Xianbiao
    Li, Huashan
    ENERGY, 2020, 203
  • [46] A sustainable manufacturing system design: A fuzzy multi-objective optimization model
    Reda Nujoom
    Ahmed Mohammed
    Qian Wang
    Environmental Science and Pollution Research, 2018, 25 : 24535 - 24547
  • [47] A sustainable manufacturing system design: A fuzzy multi-objective optimization model
    Nujoom, Reda
    Mohammed, Ahmed
    Wang, Qian
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2018, 25 (25) : 24535 - 24547
  • [48] Multi-objective optimization in the SEMERGY environment for sustainable building design and retrofit
    Heurix, J.
    Fenz, S.
    Anjomshoaa, A.
    Neubauer, T.
    Tjoa, A. M.
    Taheri, M.
    Shayeganfar, F.
    Pont, U.
    Ghiassi, N.
    Sustr, C.
    Mahdavi, A.
    CONTRIBUTIONS TO BUILDING PHYSICS, 2013, : 27 - 33
  • [49] Multi-objective optimization of sustainable biomass supply chain network design
    Durmaz, Yesim Gital
    Bilgen, Bilge
    APPLIED ENERGY, 2020, 272
  • [50] Optimising a Waste Heat Recovery System using Multi-Objective Evolutionary Algorithm
    Mokhtar, Maizura
    Hunt, Ian
    Burns, Stephen
    Ross, Dave
    PROCEEDINGS OF THE 2016 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (GECCO'16 COMPANION), 2016, : 913 - 920