INTELLIGENT FUEL STORAGE SYSTEM

Abstract

An intelligent fuel storage system can consist of a storage pod connected to a storage module with the storage pod having a plurality of separate storage vessels each residing below a ground level. The storage pod may concurrently store a first volume of a first fuel and a second volume of a second fuel prior to altering the first and second volumes in accordance with a performance strategy generated by the storage module to provide a predetermined blend of the first fuel and second fuel with at least a threshold volume and at least a threshold pressure.

Claims

1. An apparatus comprising a storage pod connected to a storage module, the storage pod comprising a plurality of separate storage vessels each residing below a ground level, the storage pod concurrently storing a first volume of a first fuel and a second volume of a second fuel prior to altering the first and second volumes in accordance with a performance strategy generated by the storage module to provide a predetermined blend of the first fuel and second fuel with at least a threshold volume and at least a threshold pressure.

2. The apparatus of claim 1, wherein each fuel continuously resides in a gaseous phase.

3. The apparatus of claim 2, wherein the first fuel is hydrogen.

4. The apparatus of claim 2, wherein the second fuel is methane.

5. The apparatus of claim 1, wherein the second volume corresponds with a greater pressure for the first fuel than the first volume.

6. The apparatus of claim 1, wherein the second volume corresponds with a lower pressure for the first fuel than the first volume.

7. The apparatus of claim 1, wherein each storage vessel resides completely below the ground level.

8. The apparatus of claim 1, wherein multiple storage vessels concurrently store the first fuel and multiple storage vessels concurrently store the second fuel.

9. A method comprising: connecting a storage module to a first storage pod comprising a plurality of separate storage vessels each residing below a ground level; generating a performance strategy with the storage module, the performance strategy proactively prescribing storage of a first volume of a first fuel in the first storage pod and a second volume of a second fuel in the first storage pod, the performance strategy created to provide a predetermined blend of the first fuel and second fuel with at least a threshold volume and at least a threshold pressure; and executing performance strategy with the performance strategy in response to a detected change in an operating condition for the first storage pod.

10. The method of claim 9, wherein the predetermined blend is supplied by concurrently opening multiple separate storage vessels of the first storage pod.

11. The method of claim 9, wherein the performance strategy prescribes the first fuel to be stored in storage vessels of the first storage pod and a second storage pod.

12. The method of claim 11, wherein the performance strategy stores the first fuel in the first storage pod at a different pressure than the second storage pod.

13. The method of claim 9, wherein the performance strategy prescribes moving the first fuel to a different storage vessel of the first storage pod to increase a safety value of the first storage pod.

14. The method of claim 9, wherein the performance strategy prescribes moving the first fuel to a second storage pod to increase a safety value to mitigate a safety risk identified by the storage module.

15. A method comprising: connecting a storage module to a first storage pod comprising a plurality of separate storage vessels each residing below a ground level; generating a performance strategy with the storage module, the performance strategy proactively prescribing storage of a first volume of a first fuel in the first storage pod and a second volume of a second fuel in the first storage pod, the performance strategy created to provide a predetermined blend of the first fuel and second fuel with at least a threshold volume and at least a threshold pressure; and executing performance strategy with the performance strategy in response to a predicted change in an operating condition for the first storage pod.

16. The method of claim 15, wherein the predicted change is an increase demand for the first fuel by a downstream fuel consumer.

17. The method of claim 15, wherein the predicted change is a change in the predetermined blend.

18. The method of claim 15, wherein the predicted change is an availability of at least one additional storage pod.

19. The method of claim 15, wherein the predicted change is at least one storage vessel becoming unavailable.

20. The method of claim 15, wherein the performance strategy prescribes evacuating at least one storage vessel and subsequently filling the at least one storage vessel with a third fuel, the first fuel, second fuel, and third fuel being different.

Description

BRIEF DESCRIPTION OF THE DRAWINGS

[0003] FIG. 1 is a block representation of an example fuel storage environment in which assorted embodiments can be practiced.

[0004] FIG. 2 depicts a block representation of an example energy consumption environment capable of being optimized with various embodiments.

[0005] FIG. 3 represents a block representation of portions of an example fuel consumption system arranged in accordance with some embodiments.

[0006] FIG. 4 conveys a block representation of an example fuel utilization system configured in accordance with assorted embodiments.

[0007] FIG. 5 depicts a line representation of portions of an example fuel storage system employed in accordance with various embodiments.

[0008] FIG. 6 conveys a line representation of portions of an example fuel storage system operated in accordance with some embodiments.

[0009] FIG. 7 shows a block representation of portions of an example storage module that can be utilized in assorted embodiments of a fuel storage system.

[0010] FIG. 8 displays a line representation of portions of an example fuel storage system arranged in accordance with various embodiments.

[0011] FIG. 9 conveys an example fuel storage routine that can be carried out embodiments of the fuel storage system of FIGS. 1-8.

DETAILED DESCRIPTION

[0012] Generally, the present disclosure is directed to the intelligent storage of multiple fuels to provide a reliable and safe fuel blend to one or more downstream fuel consumers.

[0013] The consumption of fuels has provided society with a number of different practical efficiencies for generations. From the burning of wood and coal for heat to the consumption of refined petroleum for vehicle propulsion, transitioning a fuel into a different state can provide comfort and decreased effort to conduct activities. As greater and greater amounts of people rely on the consumption of fuels for daily activity, the storage of relatively large volumes of fuels has become increasingly difficult and dangerous. Such heightened fuel demand in concert with dynamic fuel supply can present challenges to the safe storage of fuels to allow and efficient fulfillment of downstream consumers.

[0014] Various embodiments address these challenges by employing at least one fuel storage pod that utilizes multiple separate underground storage vessels to safely store one or more fuels for downstream consumption. The storage of fuels in separate vessels allows a storage module to intelligently control pressures, volumes, capacity, available power, and number of fuels stored to mitigate the variability of fuel supply and downstream fuel demand. The intelligent storage of multiple different fuels in an underground storage pod further allows for efficient fuel blending as pressure and volume of different fuels are controlled to provide a predetermined fuel ratio that is conducive to optimized downstream fuel consumption.

[0015] FIG. 1 depicts portions of an example environment 100 in which embodiments of an intelligent fuel storage system can be practiced. The delivery of one or more fuels 102, such as coal, natural gas, steam, hydrogen, gasoline, or diesel, allows a combustion mechanism 104 to convert the fuel 102 into mechanical 106 and/or electrical 108 energy that is utilized immediately, or stored for later consumption by one or more downstream consumers 110. It is contemplated that that fuels 102 are employed by an electrical generator mechanism 104 to create electricity that is distributed to downstream consumers 110 via an electrical distribution grid.

[0016] However, the cost and supply of fuels 102 can vary over time, which jeopardizes the efficiency and consistency of fuel 102 delivery and subsequent transition into mechanical/electrical energy that can be utilized by downstream consumers 108. As technology has allowed natural forces, such as wind, water, and sun, to be converted to fuels 102, the burden on fossil fuels can be reduced. Yet, greater numbers of consumers 110 are utilizing greater amounts of fuel 102, such as to power electrically powered vehicles, operate internal combustion engines, fly, and transport goods.

[0017] FIG. 2 depicts a block representation of an example energy consumption environment 120 that employs natural forces to supplement fossil fuels for mechanical/electrical energy generation. As shown, a wind turbine 122 and solar panel 124 respectively convert natural forces into electrical energy 126. While the produced electrical energy 126 may be consumed immediately, restrictions on electrical energy transmission often limit the amount of energy that can be consumed. Thus, some, or all, of the electrical energy 126 can be employed in an electrolysis operation 128 where water is converted into separate hydrogen (H.sub.2) and oxygen (O.sub.2) gases that can be stored and utilized at a later time. It is contemplated that some electrolysis operations 128 vent produced oxygen gas to simply store produced hydrogen, which can be more easily combusted than oxygen.

[0018] However, the storage and transportation of hydrogen gas is riddled with logistic complications and safety considerations that are inefficient. Despite such inefficiency, it is contemplated that hydrogen can be supplied to an electrical energy generator 130 alone, or in combination with other fuels 132, such as natural gas, to be consumed in the creation of electricity 134 that is delivered to downstream consumers 110. The supplementation of other fuels 132 with hydrogen gas produced from natural forces can be beneficial, but can be cost prohibitive, particularly when the cost of maintenance of the energy capturing devices (122/124) is added to the transportation and storage of hydrogen.

[0019] FIG. 3 depicts a block representation of portions of an example fuel consumption utilization system 140 where one or more fuels 142 are supplied to a fuel combustion mechanism 144, such as a vehicle or power plant, to be converted into mechanical and/or electrical power that can be employed by downstream consumers 110. While the power plant 144 may produce electricity at any volume, pricing and availability models imposed by regulatory agencies create dynamic profitability structures for the translation of fuels 142 into electricity. Hence, the static capabilities of power plants 144 to produce electricity in certain volumes at unmitigated costs limits the profitability of the power plant 144, even with the inclusion of fuels sourced from cheaper origins, such as hydroelectric, wind, and solar devices.

[0020] FIG. 4 depicts a block representation of an example fuel utilization system 150 configured in accordance with various embodiments to provide optimized delivery of fuels and generation of electricity by a combustion mechanism 144. Although not required or limiting, electrolysis 152 can be used to convert water into separate hydrogen and oxygen gases that are safely transported to a storage facility for later use as fuel. As a non-limiting example, oxygen and hydrogen can be stored in separate vessels of interconnected storage pods 154. A storage module 156 can intelligently manage and control the assorted fuels stored in the respective pods 154 to ensure the sufficient and safe availability of the fuels for later combustion.

[0021] It is contemplated that hydrogen and oxygen are delivered directly to the combustion mechanism 144, but some embodiments blend the respective gases to provide a fuel ratio selected by a blend module 158 that provides optimal fuel transition into energy, which may involve considerations for timing, efficiency, and cost. As a result of the intelligent storage and blending of gases produced from natural forces, the combustion mechanism 144 can enjoy cost mitigation of other fuels, such as natural gas, along with the ability to employ dynamic energy generation timing and volume due to the selected fuel blend. In some embodiments, the storage module 156 selects where to deliver gases, such as to vehicles powered by hydrogen.

[0022] FIG. 5 illustrates portions of an example energy utilization system 160 where a storage pod 162 is connected to a storage module 164 that employs at least a controller and storage circuit to generate a storage strategy that is executed to maintain the availability of at least two different gases, such as hydrogen and oxygen, for a downstream power plant. Although not required or limiting, a storage pod 162 can consist of multiple individual vessels 166 that are each extend a depth (D) underground for safety and efficiency of space. That is, above ground tanks/vessels may be utilized, but take up large volumes of space and provide safety concerns that are highly mitigated by the positioning of vessels 166 below ground.

[0023] The respective vessels 166 may be constructed with interchangeable sleeves 168 that allow for the mitigation of material embrittlement while providing an increased degree of safety compared to vessels without interchangeable internal materials. The separation of vessels 166 allows the storage module 164 to alter what gases is stored and at what pressure the gas is to be kept, which provides the ability to dynamically adjust to power plant demand to increase electricity generation efficiency and performance.

[0024] FIG. 6 depicts an example storage pod 170 utilized by a storage module 164 over time in accordance with some embodiments. Initially, the storage module 164 directs equal volumes of hydrogen (H) and oxygen (O) to be stored in the respective vessels 166. In response to demand, cost, and/or vessel maintenance, the storage module 164 can choose to store more hydrogen than oxygen by increasing the pressure of some vessels and/or utilizing more vessels 166 for hydrogen than for oxygen. The storage module 164 may further adjust the ratio of volume of stored hydrogen to volume of stored oxygen by changing the number of vessels 166 storing hydrogen, as shown.

[0025] By intelligently altering the pressure and/or gas stored in a vessel, the storage module 164 can mitigate vessel embrittlement and adapt to changing electricity generation conditions, such as cost, demand, and timing. The addition of intelligent blending of gases can complement the intelligent storage of gases to optimize the efficiency and performance of a power plant. FIG. 7 depicts a block representation of an example blend module 180 that can employ a controller 182 to generate and execute a blending strategy that provides a predetermined fuel ratio to one or more electrical energy generators.

[0026] The blend module 180 can have a demand circuit 184 that evaluates past, current, and predicted future demand for fuels to provide the blend strategy with prescribed volumes of fuels that can be consistently and reliably supplied. The demand circuit 184 allows the blend strategy to be practical and executable without undue delay from lack of fuel supply. A supply circuit 186 can operate with the storage module of a system to determine the real-time and future fuel supply capabilities of a system, which corresponds with the ability of the blend module 180 to provide a fuel ratio prescribed by the blending strategy.

[0027] The fuel ratio that provides optimized electrical generation efficiency and cost can be determined by an efficiency circuit 188 that evaluates environmental conditions as well as the operating performance of an electrical generator. The efficiency circuit 188 can set different fuel ratios correlating to any number of factors, such as cost of auxiliary fuel (natural gas), dynamic operating efficiency of a generator, and humidity of ambient air, to provide fuel at minimal cost without jeopardizing electrical generation timing or efficiency.

[0028] With the blending strategy proactively setting different fuel ratios correlated to different detected, or predicted, electrical generation parameters, along with the consideration for fuel cost, electrical grid selection, and electricity pricing models, the blend module 180 can provide quick and dynamic adjustments to the storage and/or supply of fuels to maintain electrical power generation at the lowest cost and highest possible efficiency. The blend may also be optimized for other machines employing turbines, such as jet engines, to increase operational efficiency while decreasing fuel cost.

[0029] Alternatively, the blending strategy can be optimized for non-electrical power plant usage, such as in internal combustion engines, locomotives, or industrial equipment. In other words, the blend of fuels and air can be optimized by the blend module for combustion engines due to the relatively high octane rating of auxiliary fuels, such as natural gas, and the ability to mitigate unburned hydrocarbons by blending pure hydrogen. It is noted that hydrogen burns relatively quickly for a large concentration range, such as 5-75%, which results in a faster, more complete, and more efficient burn for combustion engines of all displacements. As an another non-limiting example, the blend could be optimized for large vessels, such as trains or ships, by utilizing more pure oxygen that causes diesel engines to operate more efficiently.

[0030] FIG. 8 depicts a block representation of an example blending procedure 190 that can be carried out by the blend module 180 in accordance with some embodiments. Through the transformation of water into hydrogen via electrolysis 192 from electricity from natural forces 194, such as wind, water, geothermal, or solar energy, or via steam methane reforming 196 from one or more natural gas sources 198, the blend strategy is conducted to create a predetermined mixture of different gases, which can be defined as a molar gas fraction.

[0031] The predetermined blend of gases can be selected with respect to the operational efficiency of a power generator, such as a blend that decreases maintenance demand or operational stress on generator components, or selected with respect to the cost per unit of electricity generated. While not limiting, the intelligent modification of the mixture of gases in accordance with a predetermined blending strategy allows for electrical power generation optimized for cost, operational efficiency, or speed.

[0032] FIG. 9 is a flowchart of an example energy utilization routine 200 that can employ assorted embodiments of FIGS. 1-8. Natural forces are captured in step 202 and transitioned into electrical energy that is immediately utilized in one or more electrolysis operations in step 204 to create hydrogen gas and oxygen gas that are each captured and stored in step 206. Via one or more transportation means, step 208 moves the stored gases each to vessels of a storage pod connected to a storage module.

[0033] The storage module dynamically adjusts the gas storage parameters, such as pressure and/or ratio of stored gas volumes, over time in step 210 in response to decision 212 determining a change in supply, cost, and/or demand is imminent or predicted. At the conclusion of step 210, or in the event decision 212 does not prompt a change in storage parameters, step 214 executes a blending strategy to provide a fuel ratio from the storage pod to a power plant to allow for the generation of electrical energy. Decision 216 evaluates if changes to electricity demand and/or pricing has changed. If so, step 218 changes to a different fuel ratio of the blending strategy. It is also contemplated that step 218 can alter the fuel ratio in response to other detected or predicted conditions, such as supply of fuel, cost of fuel, or operating efficiency of power plant generators. With the optimal fuel ratio, step 220 can proceed to generate electricity that is supplied to consumers via a power grid

[0034] Accordingly, embodiments are generally directed to the intelligent storage of gases that can be utilized to generate electricity and the intelligent blending of fuels to optimize operational efficiency and cost. The storage module can provide dynamic volumes and pressures for gas storage that can mitigate and/or prevent material embrittlement as well as maintain optimal supply of gases for blending and power generation purposes. The ability to interchange sleeves of a gas storage vessel further combats embrittlement without incurring large costs associating with replacing the entirety of a vessel. The operation of the blend module provides intelligent adaptations to changing cost, demand, supply, and operational efficiencies through the dynamic fuel ratio selection.