SYSTEMS AND METHODS FOR VESSEL FUEL UTILIZATION
The systems and methods disclosed herein provide multiple solutions from maximizing efficiencies for propulsion and electrical plant equipment to reducing life cycle costs. Knowing how equipment is used/operated and how fuel is used to power equipment can increase awareness and can help to provide the best opportunity to maximize the technological gains in power generation. The systems and methods disclosed herein can provide such awareness by displaying current and projected fuel consumption attributable to specific factors encountered in operational conditions, including the environment, hull fouling, displacement and engineering plant modes. Systems and methods employ physics and quantitative based methodology that focus on assessing and quantifying fuel utilization impacts due to machinery employment, material condition disparities, abnormal configurations and excess usage.
1 . A method for determining energy consumption of a waterborne vessel during an operational period, comprising:
determining a total resistance applied to the vessel;
determining a total horsepower required for the vessel to overcome the total resistance;
receiving a plurality of inputs corresponding to a condition of the vessel;
determining propulsion-specific fuel consumption based on the determined total resistance, determined total horsepower required, and the received condition inputs;
determining electric plant fuel consumption;
calculating a total required fuel based on the sum of the propulsion-specific fuel consumption and electric plant fuel consumption;
generating a plurality of projected propulsion-specific fuel consumption models;
generating a plurality of projected electric plant fuel consumption models; and
generating a fuel consumption optimizing configuration, comprising:
a projected propulsion-specific fuel consumption model of the plurality of projected propulsion-specific fuel consumption models; and
a projected electric plant fuel consumption model of the plurality of electric plant fuel consumption models.
2 . The method of claim 1 , further comprising automatically configuring the vessel to the fuel consumption optimizing configuration.
3 . The method of claim 1 , further comprising, after generating the fuel consumption optimizing configuration, continuously monitoring electrical plant fuel consumption.
4 . The method of claim 3 , further comprising, after generating the fuel consumption optimizing configuration, continuously monitoring propulsion-specific fuel consumption.
5 . The method of claim 4 , wherein monitoring propulsion-specific fuel consumption further comprises:
determining a total real-time resistance applied to the vessel;
determining a total real-time horsepower required for the vessel to overcome the total real-time resistance;
receiving a plurality of real-time inputs corresponding to a condition of the vessel; and
determining real-time propulsion-specific fuel consumption based on the determined total real-time resistance, determined total real-time horsepower required, and the received real-time condition inputs.
6 . The method of claim 1 , further comprising:
generating a real-time fuel consumption optimizing configuration; and
automatically configuring the vessel to the real-time fuel consumption optimizing configuration.
7 . The method of claim 1 , further comprising displaying, on a user interface, the fuel optimizing configuration.
8 . The method of claim 1 , wherein the vessel comprises a plurality of machines, and determining propulsion-specific fuel consumption comprises determining a fuel consumption for each machine of the plurality of machines.
9 . The method of claim 1 , wherein determining electric plant fuel consumption comprises determining a fuel consumption for each device of a plurality of devices electrically coupled to the vessel.
10 . A method for projecting fuel consumption for a waterborne vessel, comprising:
receiving, at a user device, an primary input of data corresponding to at least one of total resistance acting upon the vessel and electric plant fuel consumption;
receiving, from memory, a first set of historical data corresponding to resistance acting upon the vessel;
receiving, from memory, a second set of historical data corresponding to electric plant fuel consumption;
determining a propulsion-specific fuel consumption corresponding to the total resistance, wherein the total resistance comprises the input of data and the first set of historical data; and
calculating, in response to determining the total horsepower, a total fuel consumption based on:
a total electric plant fuel consumption comprising the primary input of data and the second set of historical data; and
the propulsion-specific fuel consumption.
11 . The method of claim 10 , further comprising:
recording a third set of historical data corresponding to the vessel's actual fuel consumption; and
storing the third set of historical data in memory.
12 . The method of claim 11 , wherein the first set of historical data corresponds to a first data curve and the second set of historical data corresponds to a second data curve.
13 . The method of claim 12 , further comprising plotting the third set of historical data along at least one of the first data curve and the second data curve.
14 . The method of claim 10 , wherein the primary input of data comprises a predefined data table.
15 . The method of claim 10 , wherein the primary input of data is provided by a user input.
16 . The method of claim 10 , further comprising determining, in response to receiving the second set of historical data, a plurality of variables necessary to calculate the propulsion-specific fuel consumption.
17 . The method of claim 16 , wherein determining the set of variables comprises determining that the plurality of variables consists of the primary input of data, the first set of data, and the second set of data.
18 . The method of claim 16 , wherein determining the plurality of variables comprises determining that a variable of the plurality of variables is unknown; and
assigning a quantity to the variable based on a fourth set of historical data.
19 . A device, comprising:
storage;
memory;
an input interface operable to:
receive a plurality of inputs corresponding to a condition of a vessel;
an output interface;
communications circuitry; and
control circuitry operable to:
determine a total resistance applied to a vessel;
determine a total horsepower required for the vessel to overcome the total resistance;
determine propulsion-specific fuel consumption based on the determined total resistance, determined total horsepower required, and the received condition inputs;
determine electric plant fuel consumption;
calculate a total required fuel based on the sum of the propulsion-specific fuel consumption and electric plant fuel consumption;
generate a plurality of projected propulsion-specific fuel consumption models;
generate a plurality of projected electric plant fuel consumption models; and
generate a fuel consumption optimizing configuration, comprising:
a projected propulsion-specific fuel consumption model of the plurality of projected propulsion-specific fuel consumption models; and
a projected electric plant fuel consumption model of the plurality of electric plant fuel consumption models.
20 . A non-transitory computer readable medium containing instructions that, when executed by at least one processor of a computing device, cause the computing device to:
determine a total resistance applied to a vessel;
determine a total horsepower required for the vessel to overcome the total resistance;
receive a plurality of inputs corresponding to a condition of the vessel;
determine propulsion-specific fuel consumption based on the determined total resistance, determined total horsepower required, and the received condition inputs;
determine electric plant fuel consumption;
calculate a total required fuel based on the sum of the propulsion-specific fuel consumption and electric plant fuel consumption;
generate a plurality of projected propulsion-specific fuel consumption models;
generate a plurality of projected electric plant fuel consumption models; and
generate a fuel consumption optimizing configuration, comprising:
a projected propulsion-specific fuel consumption model of the plurality of projected propulsion-specific fuel consumption models; and
a projected electric plant fuel consumption model of the plurality of electric plant fuel consumption models.