A general-purpose process modelling framework for marine energy systems

被引:42
|
作者
Dimopoulos, George G. [1 ]
Georgopoulou, Chariklia A. [1 ]
Stefanatos, Iason C. [1 ]
Zymaris, Alexandros S. [1 ]
Kakalis, Nikolaos M. P. [1 ]
机构
[1] Det Norske Veritas Res & Innovat, Piraeus 18545, Greece
关键词
Marine energy systems; Systems engineering; Process modelling; Simulation; Optimisation; MICRO-COMBINED HEAT; SENSITIVITY-ANALYSIS; DESIGN; OPTIMIZATION; 1ST;
D O I
10.1016/j.enconman.2014.04.046
中图分类号
O414.1 [热力学];
学科分类号
摘要
High fuel prices, environmental regulations and current shipping market conditions impose ships to operate in a more efficient and greener way. These drivers lead to the introduction of new technologies, fuels, and operations, increasing the complexity of modern ship energy systems. As a means to manage this complexity, in this paper we present the introduction of systems engineering methodologies in marine engineering via the development of a general-purpose process modelling framework for ships named as DNV COSSMOS. Shifting the focus from components - the standard approach in shipping- to systems, widens the space for optimal design and operation solutions. The associated computer implementation of COSSMOS is a platform that models, simulates and optimises integrated marine energy systems with respect to energy efficiency, emissions, safety/reliability and costs, under both steady-state and dynamic conditions. DNV COSSMOS can be used in assessment and optimisation of design and operation problems in existing vessels, new builds as well as new technologies. The main features and our modelling approach are presented and key capabilities are illustrated via two studies on the thermo-economic design and operation optimisation of a combined cycle system for large bulk carriers, and the transient operation simulation of an electric marine propulsion system. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:325 / 339
页数:15
相关论文
共 50 条
  • [1] District energy systems: Modelling paradigms and general-purpose tools
    Schweiger, Gerald
    Heimrath, Richard
    Falay, Basak
    O'Donovan, Keith
    Nageler, Peter
    Pertschy, Reinhard
    Engel, Georg
    Streicher, Wolfgang
    Leusbrock, Ingo
    ENERGY, 2018, 164 : 1326 - 1340
  • [2] TASK MANAGER FOR GENERAL-PURPOSE OPERATING SYSTEMS
    Martyshkin, Alexey, I
    TURISMO-ESTUDOS E PRATICAS, 2020,
  • [3] DEVELOPMENT OF GENERAL-PURPOSE ENERGY SYSTEM ANALYSIS SIMULATOR "ENERGY FLOW
    Nakano, Takahiro
    Saito, Kiyoshi
    INTERNATIONAL JOURNAL OF TECHNOLOGY, 2011, 2 (03) : 257 - 265
  • [4] General-purpose Feedforward Control Design for Heating Process System
    Tanaka M.
    IEEJ Transactions on Electronics, Information and Systems, 2023, 143 (03) : 229 - 235
  • [5] A general-purpose machine learning framework for predicting properties of inorganic materials
    Ward, Logan
    Agrawal, Ankit
    Choudhary, Alok
    Wolverton, Christopher
    NPJ COMPUTATIONAL MATERIALS, 2016, 2
  • [6] General-purpose ranking and selection for computer simulation
    Lee, Soonhui
    Nelson, Barry L.
    IIE TRANSACTIONS, 2016, 48 (06) : 555 - 564
  • [7] MODELING OF MULTIBODY SYSTEMS FOR CONTROLS USING GENERAL-PURPOSE SIMULATION LANGUAGES
    ZEID, AA
    OVERHOLT, JL
    BECK, RR
    SIMULATION, 1994, 62 (01) : 7 - 19
  • [8] General-purpose controller for multiple types of magnetic bearing rotor systems
    Xu, Cheng
    Zhao, Feng
    Xu, Guxuan
    Lian, Guangkun
    ENERGY REPORTS, 2023, 9 : 345 - 354
  • [9] A Survey of General-Purpose Crowdsourcing Techniques
    Chittilappilly, Anand Inasu
    Chen, Lei
    Amer-Yahia, Sihem
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2016, 28 (09) : 2246 - 2266
  • [10] Multi-agent framework for general-purpose situational simulations in the construction management domain
    Rojas, EM
    Mukherjee, A
    JOURNAL OF COMPUTING IN CIVIL ENGINEERING, 2006, 20 (03) : 165 - 176