Klemola, 2024 - Google Patents
Leveraging Big Data for enhancing energy efficiency on commercial cargo ship cooling systemsKlemola, 2024
View PDF- Document ID
- 10476736515734810184
- Author
- Klemola H
- Publication year
External Links
Snippet
This thesis investigates the global saving potential achievable by optimizing central cooling systems in commercial cargo ships. The results are extended to a global scale through the application of big data. Given the significant fuel consumption and environmental impact of …
- 238000001816 cooling 0 title abstract description 211
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
- G06Q10/063—Operations research or analysis
- G06Q10/0639—Performance analysis
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading, distribution or shipping; Inventory or stock management, e.g. order filling, procurement or balancing against orders
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/06—Investment, e.g. financial instruments, portfolio management or fund management
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
- G05B23/0283—Predictive maintenance, e.g. involving the monitoring of a system and, based on the monitoring results, taking decisions on the maintenance schedule of the monitored system; Estimating remaining useful life [RUL]
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Fan et al. | A review of ship fuel consumption models | |
RU2415773C2 (en) | Method and system to optimise ship power supply operation | |
Yu et al. | Literature review on emission control-based ship voyage optimization | |
Tillig et al. | A generic energy systems model for efficient ship design and operation | |
Işıklı et al. | Estimating fuel consumption in maritime transport | |
Nikopoulou | Incremental costs for reduction of air pollution from ships: a case study on North European emission control area | |
Zis et al. | Economic and environmental impacts of scrubbers investments in shipping: a multi-sectoral analysis | |
US20150199471A1 (en) | Energy system optimization | |
CN105377615A (en) | Methods for optimizing ship performance and devices thereof | |
Nikolopoulos et al. | A novel method for the holistic, simulation driven ship design optimization under uncertainty in the big data era | |
Baldi | Modelling, analysis and optimisation of ship energy systems | |
Karatuğ et al. | Importance of early fault diagnosis for marine diesel engines: a case study on efficiency management and environment | |
Shaw et al. | Marine big data analysis of ships for the energy efficiency changes of the hull and maintenance evaluation based on the ISO 19030 standard | |
Andersson et al. | Life cycle and cost assessment of a marine scrubber installation | |
Somanathan et al. | Feasibility of a sea route through the Canadian Arctic | |
Vorkapić et al. | Machine learning methods in monitoring operating behaviour of marine two-stroke diesel engine | |
von Westarp | A new model for the calculation of the bunker fuel speed–consumption relation | |
Sheng et al. | Optimal compliance choices for ocean carriers under the sulphur regulation | |
Nguyen | Development of an MCDM framework to facilitate low carbon shipping technology application | |
Klemola | Leveraging Big Data for enhancing energy efficiency on commercial cargo ship cooling systems | |
Schinas et al. | The cost of SOx limits to marine operators; results from exploring marine fuel prices | |
Chen et al. | Simulation-based optimization of ship design for dry bulk vessels | |
Jiang et al. | Modelling the effects of emission control areas on shipping company operations and environmental consequences | |
Hansen et al. | An Integrated Vessel Performance System for Environmental Compliance | |
Terün et al. | Assessing alternative fuel types for ultra large container vessels in face of uncertainty |