Technology Summary

Supervisory Control and Data Acquisition System for Energy Extracting Vessel Navigation


Integrated Power Technology Corporation™ Renewable Energy Portfolio, Supervisory Control and Data Acquisition System for Energy Extracting Vessel Navigation


   While many systems exist today for recovery of wind energy and water current or wave energy, most systems are stationary, mounted on or anchored to the sea floor. Many other hydrokinetic turbine energy systems exist today that affix to sailing vessels overcoming the limitations of fixed stationary structures. Nonetheless, all wind and hydrokinetic systems have the fundamental limitation of total possible recoverable energy at any given time being directly proportional to the cube of the velocity of the motive fluids. This inherent limitation renders most of these systems economically infeasible when considering the manufacturing and operational costs of the system and the typical site expected energy yield. Operation cost reductions include remote controlled operation but existing technology has not fully developed the potential of intentional unmanned operation of mobile structures navigating into an environment of such high energy as to otherwise present conditions hazardous to human crews. Therefore, the Integrated Power Technology Corporation™ has foremost developed a novel Supervisory Control And Data Acquisition (SCADA) system that remotely controls the operation and particularly the navigation of mobile structures that can cost-effectively extract energy in an optimal manner from an environment that inherently presents untenable risk to human life. The ability of the complete system to target offshore storms wherein the wind and water current velocities ensure optimal energy recovery presents a fundamental departure from prior art.


   Furthermore, this premiere patented technology advances not only mobile structures designed for energy extraction from severe weather patterns, but also, any offshore mobile structure striving to avert weather patterns that incur power intermittency while reducing cost by performing renewable energy recovery under remote control. This technology facilitates deployment of an offshore energy recovery system wherein an algorithm optimizes efficiency in the system by accounting for data from weather observations, and from sensors on the mobile structure, while relating these data points to performance models for the mobile structure itself. This premiere remote control technology boasts an algorithm that optimizes energy extraction using yield functions derived from weather and geospatial data and vessel performance models. Thus any offshore mobile energy recovery system can attain optimal profitability by using the premiere patented path cost algorithm weighing energy extraction yield factors into the cost of travel to guide navigation of offshore energy recovering mobile structures. Its SCADA computer servers run Human Machine Interface (HMI) secure software applications which communicate to microprocessor systems running client software with a Graphical User Interface (GUI) to allow remote humans to optionally interact and choose mission critical navigation plans.


   The SCADA server side applications which access a Geographic Information System (GIS) may also comprise a database that records resource local spot prices and calculates Levelized Cost of Energy (LCOE), a variable in a risk/reward evaluation function based on human demand for various commodity products potentially output from an offshore mobile structure such as pure hydrogen compressed or stored in a hydride; electrical energy in a charged battery; pure oxygen; lye; bleach; liquefied ammonia; desalinated/distilled water; concentrated saline/sea salt; or any mineral or compound electrochemically or thermo-chemically isolated from seawater; all for delivery in and from an offshore environment. Another area of substantial novelty exists in a SCADA system that enables operators to decide configuration, operation, and navigation of a modular, morphological natural resource exploitation structure given server data including but not limited to: weather prediction, and weather pattern tracking; commodity prices and future prices at various geographic locations and currency exchange rates; component (or Line Replaceable Units) (LRU) bill-of-material costs; component and LRU reliability data, maintenance costs and schedules, material safety data sheets; total carbon or toxic material by-product emitted and energy embodied and associated costs for the original manufacture, disposal, maintenance and operations of every component; possible environmental remediation opportunity cost/value; and thus a database that definitively determines and enables at an operator’s discretion, action based on decisions of a universal levelized cost of energy (LCOE) and commodities; all for various scale, for instance, mega or giga Watt structures, and based on yield analysis and performance models of any one of a plurality of modular structures to determine least cost or highest yield path. The adaptability of the design and operation of an energy or energy-intensive commodity recovery system facilitated by a SCADA system programmed to optimize resource allocation over vast domains, with a function to assess risk/reward facilitates optimal modular response to weather and local spot market conditions, favorably affecting equitable distribution of energy and energy-intensive resources and to most economically and expeditiously respond to alleviate scarcity or emergency conditions for humankind.


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