Server device, dac management system, and method for remotely controlling operation of a carbon dioxide recovery device

Abstract

The present disclosure is a server device that controls operation of a DAC device in order to efficiently operate the DAC device in accordance with changes in the environment in each site, suppress the cost of carbon dioxide capture, and achieve long life of the DAC device, and includes a storage device that holds a program for controlling operation of the DAC device, and a control device that reads in the program from the storage device and executes. The control device provides a server device that executes processing of acquiring open source information containing weather information and / or environmental information of a site region in which the DAC device is installed and a wider region than the site region from an open source, predicting a weather change or an environmental change of the site region based on changes over time in the open source information, generating a control instruction for controlling the DAC device based on the prediction of the weather change or the environmental change of the site region, and sending the control instruction to the DAC device (see FIG. 1).

Description

Technical Field

[0001] This disclosure relates to a server device, a DAC management system, and a method for remotely controlling the operation of a carbon dioxide recovery device. Background Technology

[0002] CCUS (Carbon dioxide Capture, Utilization, and Storage) is a general term for technologies that recover and store carbon dioxide. Methods for recovering carbon dioxide include DAC (Direct Air Capture, which captures carbon dioxide from the air using adsorption filters, etc.). When removing the carbon dioxide adsorbed on the adsorbent material, parameters such as pressure and temperature are fluctuated. For example, in the pressure-fluctuation method, carbon dioxide is recovered from the air by repeatedly applying pressure for adsorption and applying pressure for desorption, and the recovered carbon dioxide is then removed from the adsorbent material.

[0003] It is envisioned that such DAC devices (also known as "DAC units") would be deployed throughout Japan or in various regions around the world to recover carbon dioxide. For example, Patent Document 1 discloses a carbon dioxide capture device that monitors remotely configured devices and provides warnings related to the integrity of the device, such as battery status and programming problems.

[0004] Existing technical documents

[0005] Patent documents

[0006] Patent Document 1: US Patent No. 11,607,645 Summary of the Invention

[0007] The problem that the invention aims to solve

[0008] In a DAC system comprised of DAC devices deployed at various locations, it is believed that the high efficiency of each DAC device must be optimized based on the meteorological conditions of each region. For example, DAC devices operate efficiently in sunny conditions, but their efficiency deteriorates during rainfall when humidity increases. Furthermore, DAC devices are generally not intended to operate during typhoons. Therefore, it is considered necessary to control the operation of DAC devices according to meteorological conditions to protect them. In particular, the membranes constituting the filter are sensitive to humidity and are prone to deterioration when the DAC devices operate in high humidity conditions, affecting their lifespan. Additionally, operating the DAC devices in high humidity conditions reduces their carbon dioxide adsorption capacity and increases capture time, thus increasing the cost of carbon dioxide capture.

[0009] On the other hand, the technology disclosed in Patent Document 1 only monitors and warns about the battery status of the DAC device, without considering the deterioration of the operating efficiency of the DAC device in response to the environment.

[0010] In view of this situation, this disclosure proposes a technology for operating the DAC device efficiently according to environmental changes at each site, suppressing the cost of carbon dioxide capture, and extending the lifespan of the DAC device.

[0011] Methods for solving problems

[0012] To address the aforementioned issues, this disclosure provides a server device for remotely controlling the operation of at least one carbon dioxide recovery device for recovering carbon dioxide from gas. The server device comprises: a storage device storing a program for controlling the operation of the carbon dioxide recovery device; and a control device that reads the program from the storage device and executes it. The control device performs the following processes: processing to obtain open-source information containing meteorological and / or environmental information covering a geographical area where at least one carbon dioxide recovery device is configured, and a wider area than the geographical area; processing to predict meteorological or environmental changes in the geographical area based on temporal variations of the open-source information; processing to generate control commands for controlling the at least one carbon dioxide recovery device based on the predicted meteorological or environmental changes in the geographical area; and processing to send the control commands to the at least one carbon dioxide recovery device.

[0013] Further features relating to this disclosure will become clear from the description and drawings herein. Furthermore, this disclosure is achieved and implemented through elements and combinations thereof, as well as through the detailed description thereafter and the appended scope of the claimed patent protection.

[0014] The description in this specification is merely a typical example and does not limit the scope of the patent protection sought or the application of this disclosure in any sense.

[0015] Invention Effects

[0016] According to the technology disclosed herein, the DAC device can be operated efficiently according to environmental changes at each site, the cost of carbon dioxide capture can be reduced, and the lifespan of the DAC device can be extended. Attached Figure Description

[0017] Figure 1 This is a diagram illustrating a schematic structural example of the DAC management system 1 according to this embodiment.

[0018] Figure 2 This is a diagram showing a schematic example of the structure of the DAC devices configured at each base station K20_k.

[0019] Figure 3is a graph showing temporal changes in carbon dioxide concentration detected by a first sensor 2102 and a second sensor 2107, respectively.

[0020] Figure 4A is a diagram showing an example of open source information (0 hour).

[0021] Figure 4B is a diagram showing an example of open source information (after N hours).

[0022] Figure 4C is a diagram showing an example of open source information (after N+n hours).

[0023] Figure 4D is a diagram showing an (predicted) example of open source information (after N+n+x hours). Detailed Description of Embodiments

[0024] Embodiments of the present disclosure disclose a technology for controlling the operation status of direct air capture (DAC) devices (carbon dioxide capture systems) arranged at each site based on meteorological or environmental changes (including measured data and predicted values) at each site.

[0025] Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. In the drawings, elements having the same function are sometimes denoted by the same reference numerals. Furthermore, the drawings show specific embodiments and implementation examples following the principles of the present disclosure, which are for understanding the present disclosure and are not intended to interpret the present disclosure in a limiting manner in any case.

[0026] In the present embodiment, the description is made sufficiently detailed for those skilled in the art to implement the present disclosure, but it should be understood that other embodiments and forms are also possible, and that changes to the structure and construction, and substitutions of various elements can be made without departing from the scope and spirit of the technical idea of the present disclosure. Therefore, the following description should not be construed as being limited thereto.

[0027] <Structural Example of DAC Control System 1>

[0028] Figure 1 is a diagram showing a schematic structural example of the DAC management system 1 of the present embodiment. As Figure 1 shown, the DAC management system 1 includes a DAC control center (control server) 10, a plurality of sites A20_1 to N20_n each provided with a DAC device (n is an integer of 1 or more; one site is referred to as site K20_k), and an open source 30 that provides meteorological information and the like. The DAC control center 10, the open source 30, and each site K20_k are configured to be able to communicate with each other via a communication network 40 such as the Internet.

[0029] Open source 30 could consist of computers providing meteorological information from various foreign countries, computers providing meteorological information from the Japan Meteorological Agency, computers providing environmental information from the Japan Environment Agency, and computers providing paid meteorological information to the public. Alternatively, an open source 30 could be comprised of a single computer providing all of the aforementioned meteorological / environmental information.

[0030] The DAC control center 10 includes a control device 101, an input device 102, an output device 103, a storage device 104, and a communication device 105.

[0031] Input device 102 consists of a keyboard, touch panel, switches, etc., configured to allow users to input various instructions and information. Output device 103 consists of a display device, printer, etc., configured to provide users with the calculation results of control device 101. Storage device holds DAC control program, various data, various parameters, etc. Communication device 105 communicates with open source 30 and the DAC devices at each base K20_k, providing control information to each DAC device, or obtaining operating information of each DAC device and meteorological information of the surrounding area of ​​each base K20_k under management.

[0032] The control unit 101 consists of a processor (computer) such as a CPU and MPU. It reads the DAC control program from the storage device 104 and generates an environment prediction unit 1011, an optimal operating condition derivation unit 1012, an emergency response instruction unit 1013, and an action instruction unit 1014 in an internal memory (not shown). Details regarding the processing and action content of each processing unit (environment prediction unit 1011 to action instruction unit 1014) will be described later.

[0033] <Structure examples of DAC devices in each base K>

[0034] Figure 2 This is a diagram illustrating a schematic structure of the DAC devices configured at each base station K20_k. (See diagram for example.) Figure 2 As shown, the DAC device includes a carbon dioxide recovery device 21 and a management device 22.

[0035] The carbon dioxide recovery device 21 is a device for recovering carbon dioxide contained in a gas (e.g., the atmosphere). The management device 22 is a device for monitoring the deterioration of the adsorption unit of the carbon dioxide recovery device 21, or operating information such as the percentage of carbon dioxide captured (capture rate) and the carbon dioxide capture ratio.

[0036] The carbon dioxide recovery device 21 includes an intake side baffle 2101, a first sensor 2102, a mechanical filter 2103, a first fan 2104, a front baffle 2105 of the adsorption unit, a carbon dioxide collection unit 2106, a second sensor 2107, a rear baffle 2108 of the adsorption unit, a second fan 2109, a third sensor 2110, a fourth sensor 2111, and a storage unit 2112.

[0037] The first sensor 2102 detects the concentration (first concentration) of carbon dioxide in the gas (air) before it passes through the carbon dioxide capture unit (including the adsorption unit for adsorbing carbon dioxide) 2106. Additionally, the first sensor 2102 detects humidity, temperature, gas concentrations (NOx, SOx, CO), PM concentration, etc., at the location where the DAC device is installed. Furthermore, the first sensor 2102 also detects the concentration (first concentration) of carbon dioxide in the gas before it passes through the carbon dioxide capture unit 2106.

[0038] The intake-side baffle 2101 is a baffle used to prevent rainwater and dust from flowing into the DAC device. The front baffle 2105 of the adsorption unit and the rear baffle 2108 of the subsequent adsorption unit are baffles used to close the chamber of the adsorption unit of the carbon dioxide capture section 2106 through cooperation. The intake-side baffle 2101, the front baffle 2105 of the adsorption unit, and the rear baffle 2108 of the adsorption unit are configured to open and close in response to control commands from the DAC control center 10 or from the management device 22. For example, the opening and closing of these baffles are controlled according to the environment of the location where the DAC device is located (such as when the humidity is appropriate on a sunny day, when the DAC can be operated at full capacity, when the humidity is high due to rain, etc., so the DAC operation should be suppressed, or when the DAC operation should be stopped due to a typhoon or sudden rainstorm). In addition, the opening and closing of the baffles are also controlled according to the values ​​of the gas concentration and PM concentration. In situations with high gas or PM concentrations, closing the aforementioned baffles can prevent deterioration of the mechanical filter 2103 and the adsorption unit of the carbon dioxide capture section 2106. Furthermore, all baffles can be opened and closed based on environmental information or instructions from the center, or only the inhalation-side baffle 2101 can be opened and closed depending on the environment. In other words, the baffles can be individually controlled to open and close (e.g., inhalation side closed, exhaust side open), allowing for the removal of unwanted factors (e.g., interfering gases, humidity) from the DAC device based on the situation.

[0039] The first fan 2104 and the second fan are fans used to introduce air (gas) into the air intake of the DAC device and to exhaust the air taken in from the air exhaust port of the DAC device.

[0040] The carbon dioxide capture unit 2106 recovers carbon dioxide through an adsorption unit. The recovered carbon dioxide is sent to the storage unit 2112. The storage unit 2112 stores the carbon dioxide.

[0041] The second sensor 2107 detects, for example, the concentration (second concentration) of carbon dioxide contained in the gas after it passes through the carbon dioxide capture unit 2106. Additionally, the third sensor 2110 detects, for example, the components contained in the feed material as it is sent from the carbon dioxide capture unit 2106 to the storage unit 2112 (specifically, impurities typically adsorbed during the adsorption process, in addition to carbon dioxide, such as NOx). Furthermore, the fourth sensor 2111 detects, for example, the volume of carbon dioxide contained in the feed material sent from the carbon dioxide capture unit 2106 to the storage unit 2112.

[0042] The management device 22 includes an acquisition unit 2201, a control unit 2202, and a communication unit 2203. The acquisition unit 2201 acquires values ​​detected by the first sensor 2102, the second sensor 2107, the third sensor 2110, and the fourth sensor 2111, respectively. Based on the values ​​acquired by the acquisition unit 2201, the control unit 2202 calculates the efficiency (adsorption rate) of the adsorption unit of the carbon dioxide capture unit 2106 in adsorbing carbon dioxide.

[0043] The acquisition unit 2201 acquires a detection value for the first concentration from the first sensor 2102 and a detection value for the second concentration from the second sensor 2107. The control unit 2202 calculates the ratio between the first concentration and the second concentration (second concentration / first concentration). This ratio corresponds to the adsorption rate (capture ratio).

[0044] The control unit 2202 estimates the degree of deterioration of the adsorbent material based on the calculated adsorption rate. For example, the degree of deterioration can be estimated based on the difference or ratio between the initial and current values ​​of the adsorption rate. Alternatively, the degree of deterioration can be estimated by comparing the rate of change of the adsorption rate over time (the rate of change of the adsorption rate relative to the operating time of the collection unit 111) with a threshold. The control unit 2202 can also estimate the period when the adsorbent material should be replaced. For example, when the degree of deterioration of the adsorbent material estimated through the above steps reaches or exceeds the threshold, an alarm recommending replacement can be sent.

[0045] The acquisition unit 2201 acquires the detection values ​​(outlet composition data) of the components contained in the outlet detected by the third sensor 2110. Based on these detection values, the control unit 2202 calculates a quality index of the carbon dioxide contained in the outlet. For example, the ratio or difference between the carbon dioxide contained in the outlet and other substances may be used as a quality index for calculation. Other suitable quality indices may also be used.

[0046] Furthermore, the acquisition unit 2201 acquires the detection value of the volume of carbon dioxide contained in the feed material delivered to the storage unit 2112, detected by the fourth sensor 2111. The control unit 2202 records the amount of carbon dioxide recovered by the carbon dioxide capture unit 2106 based on this detection value. This recovery amount represents the overall recovery performance of the DAC device. This recovery amount can be used in conjunction with the adsorption rate, or it can be used as an indicator of the economic efficiency of the DAC device.

[0047] The communication unit 2203 transmits environmental information detected by the first sensor 2102 (temperature, humidity, gas concentration, PM concentration, etc. around the base), operating information of the DAC device located at the base, the carbon dioxide capture percentage and capture ratio calculated by the control unit 2202, and oscillation information including depressurization information during carbon dioxide adsorption and pressurization information during carbon dioxide discharge, to the DAC control center 10. Additionally, the communication unit 2203 receives emergency response commands and action commands generated by the DAC control center 10. The control unit 2202 controls the operation of the carbon dioxide recovery device 21 based on the received emergency response commands and action commands.

[0048] <Changes in carbon dioxide concentration over time>

[0049] Figure 3 This is a graph showing the change in carbon dioxide concentration over time detected by the first sensor 2102 and the second sensor 2107, respectively. The right vertical axis represents the carbon dioxide concentration after the gas passes through the carbon dioxide capture unit 2106 (second concentration). The left vertical axis represents the ratio of the carbon dioxide concentration before the gas passes through the carbon dioxide capture unit 2106 (first concentration) to the carbon dioxide concentration after the gas passes through the carbon dioxide capture unit 2106 (second concentration). The change over time referred to here is the operating time from the start of the carbon dioxide capture unit 2106's adsorption of carbon dioxide until the removal is achieved.

[0050] After the carbon dioxide capture unit 2106 starts operating, it effectively adsorbs carbon dioxide when gas passes through it, resulting in a low second concentration. As the carbon dioxide capture unit 2106 continues to operate, it gradually becomes saturated with carbon dioxide, and when it reaches a certain level, it can no longer adsorb carbon dioxide. Figure 3 The upward curve to the right in the figure represents this situation.

[0051] Similarly, when comparing the carbon dioxide concentration before and after the gas passes through the carbon dioxide capture unit 2106, the concentration is high before the gas passes through initially and decreases significantly afterward, resulting in a large ratio (first concentration / second concentration). As the carbon dioxide capture unit 2106 continues to operate, it gradually becomes less able to adsorb carbon dioxide, thus increasing the second concentration and consequently decreasing the ratio. Figure 3 The curve that descends to the right in the figure represents this situation. The slope of the descending curve to the right represents the adsorption rate.

[0052] If the carbon dioxide capture unit 2106 is operated to the limit of the adsorption unit's ability to adsorb carbon dioxide, and then the carbon dioxide is released, the amount of carbon dioxide that can be recovered through a single adsorption cycle can be maximized. On the other hand, the adsorption rate during the period from adsorption to release... Figure 3 The adsorption rate gradually decreases like a curve descending to the right, so from an efficiency standpoint, it is undesirable to adsorb carbon dioxide to its adsorption limit. Therefore, monitoring system 2 seeks to balance the trade-offs between them.

[0053] Specifically, the control unit 2202 acquires detection values ​​from the first sensor 2102 and the second sensor 2107 respectively, and uses these detection values ​​to calculate... Figure 3 The values ​​of each vertical axis. The control unit 2202 optimizes the balance between the amount of carbon dioxide that can be recovered through one adsorption / desorption and the adsorption rate. For example, using an evaluation formula with these values ​​as parameters, desorption based on a swing motion is performed when the evaluation value is maximized.

[0054] Control unit 2202 can also be based on Figure 3 The slope of the curve descending to the right is used to estimate the lifetime of the adsorbent material. Ideally, the adsorption rate should recover to its initial value each time adsorption / desorption occurs. However, in reality, as the cumulative operating time of the carbon dioxide capture unit 2106 increases, the recovered adsorption rate becomes lower than the initial value. Specifically, Figure 3 The slope of the curve descending to the right gradually decreases. The control unit 2202 can estimate the lifetime of the adsorbent material based on the change in this slope over time. Alternatively, the time required from the start of adsorption to reaching the adsorption limit gradually increases as the adsorbent material deteriorates, so the lifetime can be estimated by monitoring this time in the same way.

[0055] <Examples of information provided by Open Source 30>

[0056] Open source 30 sends public (free) or private (paid) meteorological and environmental observation data (hereinafter also referred to as open source information) from other areas (different grids) surrounding each base K20_k to DAC control center 10. The transmission frequency can be set to periodic (e.g., every 30 minutes) or continuous, or in response to requests from DAC control center 10. Here, a grid refers to the area corresponding to each rectangle obtained by dividing a region (e.g., the Kyushu region) into rectangles of predetermined size, like a checkerboard. For example, by dividing the horizontal region into areas a, b, c, d, ... and the vertical region into areas 1, 2, 3, 4, ..., each area can be identified by letters and numbers, and this identified area becomes a grid.

[0057] Here, we will explain the open-source information. Figures 4A to 4D This is an example of open source information. Figures 4A to 4D Indicates will Figure 4A The state is set to 0 hours, N hours later ( Figure 4B ), after N+n hours ( Figure 4C ), and after N+n+x hours ( Figure 4D The migration path of the sudden rainstorm (sudden rainstorm location 402).

[0058] According to information provided by Open Source 30, such as Figure 4A As shown, at hour 0, the sudden rainstorm location 402 was located at grid coordinates (f: 20). No DAC devices were installed in this area. DAC devices installed in DAC installation areas 401 and 403 (as described later, DAC installation area 401 represents grids potentially affected by the sudden rainstorm, and DAC installation area 403 (multiple areas) represents grids less likely to be affected by the sudden rainstorm) were operating stably. Information released N hours later indicated that the sudden rainstorm location 402 was located at grid coordinates (g: 30) (see reference). Figure 4C Therefore, by using the location information at 0 hours (f: 20) and the location information at N hours (g: 30), the movement of the sudden rainstorm location 402 is vector-calculated, thereby enabling the prediction of the sudden rainstorm location 402 at N+n hours.

[0059] On the other hand, in the actual measurement, the location information of the sudden rainstorm location 402 after N+n hours was published, which is located at the grid coordinate (h: 45) (refer to...). Figure 4C Therefore, based on the vector information after N hours and the vector information after N+n hours, the location 402 of the sudden rainstorm after N+n+x hours can be predicted. At this point, the predicted location 404 of the sudden rainstorm location 402 can be calculated, considering both the case of moving in the original direction and the case of a slight deviation in width (see reference). Figure 4D). In addition, when considering the influence from the predicted position 404 on the surrounding area, it can be predicted that one DAC installation area 401 may be affected by sudden rainstorm.

[0060] <Processing and Action Content of DAC Management System 1>

[0061] Referring again to Figure 1 , the details of the processing and actions of the DAC management system 1 will be described. In the DAC management system 1, the DAC control center 10 generates instructions for controlling the operation of each DAC device based on the operating status of each DAC device disposed at each base K20_k (base A20_1 to base N20_n), the environmental / meteorological conditions of each base K20_k, and the environmental / meteorological conditions adjacent to each base K20_k, and transmits the instructions to each DAC device. Each DAC device controls the operation in response to the instructions (efficiently operates the DAC device according to environmental changes in each base), thereby enabling suppression of the cost of carbon dioxide capture and achieving a longer service life of the DAC device.

[0062] Each DAC device at each base K20_k transmits information (actual measurement data) including actually measured meteorological information and environmental information (temperature, humidity, gas concentration, PM concentration, etc.) at each base, operation information of each DAC device, carbon dioxide capture rate (percentage), carbon dioxide accumulation amount, swing information (including decompression, pressurization, swing temperature, etc.) and capture ratio ( Figure 3 information on the slope of the graph shown in) to the DAC control center 10 via the communication network 40.

[0063] Open source 30 (computer) transmits open source information (meteorological and environmental observation data from all over the world or all over Japan: including weather information such as rainfall and sudden rainstorm in various regions, gas concentration and PM concentration in various regions) to the DAC control center 10 periodically / continuously or in response to a request from the DAC control center 10.

[0064] (i) Environmental prediction based on open source information: based on Figures 4A to 4D for example

[0065] the environmental prediction unit 1011, for example, as described above, if according to Figures 4A to 4DThe open-source information predicts that the DAC installation area 401 may be affected by a sudden rainstorm in x hours. Therefore, the emergency response command unit 1013 sends an emergency response command to the DAC devices (designated as base K20_k) in the DAC installation area (grid) 401 via the communication device 105 before x hours from now (N+n+x hours from the open-source information's 0 hour). Upon receiving the emergency command, the DAC devices at base K20_k respond to the command by closing the suction side baffle 2101, the front baffle 2105 of the adsorption unit, and the rear baffle 2108 of the adsorption unit. Thus, before the sudden rainstorm moves to the DAC installation area 401, rain and moisture can be prevented from entering the DAC devices installed in that area, thereby preventing performance degradation of the DAC devices (DAC device protection). In addition, the emergency response commands include not only baffle closure based on natural disasters such as sudden rainstorms and hail, but also commands such as power-off (operation stop) to the DAC devices.

[0066] Furthermore, the exposure period to sudden rainstorms is generally short. Therefore, if the environmental prediction unit 1011 predicts, for example, that a sudden rainstorm will pass through the DAC setting area 401 in 30 minutes and then immediately return to sunny weather, the action command unit 1014 can send an action command to the DAC device located at the base K20_k in the DAC setting area 401, instructing it to resume operation in 30 minutes.

[0067] (ii) Derivation of optimal operating conditions for the DAC device and its corresponding action commands

[0068] When the DAC device at location K20_k acquires measured data of meteorological and environmental information at location K20_k, the optimal operating condition derivation unit 1012 derives the optimal operating conditions for the DAC device based on the meteorological and environmental conditions at location K20_k. For example, when the humidity at location K20_k is low (lower than a predetermined value), the fan of the DAC device can be rotated at high speed, but in high humidity conditions, air should not be actively drawn into the DAC device. To cope with high humidity, a dehumidification mechanism can be installed near the air intake of the DAC device, but in this case, the fan speed needs to be controlled to improve dehumidification efficiency. Therefore, the DAC control center 10 maintains information on the optimal fan speed value corresponding to each humidity value in the storage device 104, and the optimal operating condition derivation unit 1012 acquires the fan speed value (optimal value) corresponding to the measured humidity value from the storage device 104. Then, the operation command unit 1014 issues a command to the DAC device at location K20_k to make the fan rotate at the fan speed value acquired by the optimal operating condition derivation unit 1012.

[0069] Furthermore, for example, in locations in cold regions, the adsorption efficiency of carbon dioxide increases at low temperatures, but adsorption becomes difficult when the temperature is increased. While a DAC device installed at an ambient temperature of 10°C is appropriate considering operating costs, deploying a DAC device in a location like the Sahara Desert presents a very harsh environment, requiring operation tailored to that environment. Therefore, in such harsh (high-temperature) conditions, adsorption efficiency will not improve unless a cooling mechanism is incorporated into the DAC device to control and lower the operating ambient temperature. Therefore, the operation command unit 1014 can send appropriate operating ambient temperature information (e.g., maintaining the storage device 104 at the optimal operating temperature corresponding to the location temperature information) as an operation command to the DAC device at each location K20_k, corresponding to the temperature information of each location K20_k.

[0070] As described above, the DAC control center 10 obtains operational information, carbon dioxide accumulation, carbon dioxide capture rate (percentage), oscillation information (including depressurization, pressurization, oscillation temperature, etc.), and capture ratio from each DAC device at each location K20_k. Figure 3 Information such as the slope of the graph shown. The optimal operating condition derivation unit 1012 determines, for example, whether a sufficient amount of carbon dioxide (the amount recovered per unit time) can be recovered based on the obtained carbon dioxide accumulation, carbon dioxide capture rate, and capture ratio. If it is determined that carbon dioxide cannot be sufficiently recovered, the optimal operating condition derivation unit 1012 decides to stop the swinging motion in the carbon dioxide capture unit 2106, and the operation command unit 1014 can also respond to the swinging motion stop decision and send a swinging motion stop command to the target DAC device.

[0071] Furthermore, the optimal operating condition derivation unit 1012 compares the measured values ​​of meteorological and environmental information at location K20_k of the DAC device with the predicted information (predicted values) of location K20_k based on open-source information to determine whether the prediction based on open-source information is appropriate. If it is inappropriate (the difference between the measured value and the predicted value is greater than a predetermined value), the optimal operating condition derivation unit 1012 notifies the emergency response command unit 1013 to issue an instruction to cancel the emergency response command (baffle closing command, power-off command) already sent to the DAC device at location K20_k, or to notify that the emergency response command will not be sent before it is sent to the DAC device. This prevents unnecessary shutdown of the DAC device due to prediction. For example, based on open-source information, a prediction might indicate rain at location A in 3 hours. Therefore, preparations for closing the barriers at location A begin. However, if the prediction is accurate, weather conditions should worsen almost constantly. But if judged based on actual measurements, sometimes there's no sign of deterioration (i.e., the difference between measured and predicted values ​​widens, and the prediction fails). In such cases, instead of shutting down the DAC device after 2 hours and 30 minutes, preparations can be made to immediately stop operation, and the situation can be observed by continuing (extending) the DAC device's operation.

[0072] Summary

[0073] (i) In this embodiment, the DAC control center 10 (server device) obtains open-source information from open source 30 (see reference). Figures 4A to 4D The system predicts weather or environmental changes at location K20_k based on the temporal changes in this open-source information, which includes weather and / or environmental information for a wider area than location K20_k, including location K20_1 where the DAC device is configured. Then, based on the predicted weather or environmental changes at location K20_k, the DAC control center 10 generates control commands (emergency response commands: for example, commands instructing operation to stop or perform protective actions) for controlling the DAC device configured therein and sends them to the DAC device. Thus, even under conditions most suitable for DAC operation at the current moment, it can immediately respond to rapid weather or environmental changes and operate the DAC device appropriately. Furthermore, since DAC operation under unsuitable conditions can be avoided, the cost of carbon dioxide capture can be reduced, and the lifespan of the DAC device can be extended. In addition, environmental information for a wider area than location K20_k includes PM concentration.

[0074] (ii) The DAC control center 10 obtains measured meteorological or environmental data (including measurements of at least one of humidity, temperature, gas concentration, or PM concentration at location K20_k) from the DAC device at location K20_k. Based on this measured data, it generates action commands for controlling the operation of the DAC device (e.g., fan speed control commands, temperature control commands, oscillation stop commands, etc.) and sends them to the DAC device. Alternatively, the DAC control center 10 can also obtain operating information indicating the operating status from the DAC device at location K20_k, and generate and send action commands in a manner that matches the operating status of the DAC device with the measured environmental data of location K20_k. Thus, the DAC device can be operated appropriately and efficiently according to its operating environment.

[0075] (iii) Based on the comparison between the predicted meteorological or environmental changes at point K20_k and the measured data at point K20_k, the DAC control center 10 modifies the emergency response command and sends the modified emergency response command to the DAC device. Thus, the DAC device can be operated appropriately even if the forecast is inappropriate.

[0076] (iv) The functions of this embodiment can also be implemented using software program code. In this case, a storage medium storing program code is provided to the system or device, and the computer (or CPU, MPU) of the system or device reads the program code stored in the storage medium. In this case, the program code read from the storage medium itself implements the functions of the above-described embodiment, and the program code itself and the storage medium storing the program code constitute this disclosure. Examples of storage media for supplying such program code include floppy disks, CD-ROMs, DVD-ROMs, hard disks, optical disks, optical discs, CD-Rs, magnetic tapes, non-volatile memory cards, ROMs, etc.

[0077] Alternatively, the functions of the above-described embodiments can be achieved by the actual processing performed by the OS (operating system) or other devices running on the computer, based on the instructions of the program code. Furthermore, after the program code read from the storage medium is written into the computer's memory, the computer's CPU or other devices can perform some or all of the actual processing based on the instructions of the program code, thereby achieving the functions of the above-described embodiments.

[0078] Furthermore, the program code of the software that implements the functions of this embodiment can also be distributed via a network and stored in a storage unit such as a hard disk or memory of the system or device, or a storage medium such as a CD-RW or CD-R. When in use, the computer (or CPU, MPU) of the system or device reads and executes the program code stored in the storage unit or storage medium.

[0079] The processes and techniques described herein are not inherently associated with any specific device and can be implemented through combinations of various components. Furthermore, various types of general-purpose devices can be added. Dedicated devices can also be constructed to perform the functions of this embodiment. Additionally, various functions can be formed by appropriately combining the multiple constituent elements disclosed in this embodiment. For example, several constituent elements can be deleted from all the constituent elements shown in the embodiment, or constituent elements from different specific examples can be appropriately combined.

[0080] In this disclosure, specific examples are used to illustrate the technology of this disclosure, but they are intended in all respects to be illustrative (for understanding the technology of this disclosure) and not limiting. Those skilled in the art will understand that many combinations of hardware, software, and firmware are possible for implementing the technology of this disclosure. For example, the described software can be implemented using a wide range of programming or scripting languages ​​such as assembler, C / C++, Perl, Shell, PHP, and Java (registered trademark).

[0081] Furthermore, in the above embodiments, control lines and information lines represent lines deemed necessary for the description, but not all control lines and information lines may be represented on the product. All structures can also be interconnected.

[0082] Furthermore, other implementations of this disclosure will be readily apparent to those skilled in the art based on the description of this embodiment. The specification and specific examples are merely typical examples, and the technical scope and spirit of this disclosure are illustrated in the following scope of the claimed patent protection.

[0083] Explanation of reference numerals in the attached figures

[0084] 1 DAC Management System

[0085] 10 DAC Control Center

[0086] 101 Control Device

[0087] 102 Input Devices

[0088] 103 Output devices

[0089] 104 storage devices

[0090] 105 Communication Equipment

[0091] 1011 Environmental Prediction Department

[0092] 1012 Optimal Operating Conditions Derivation Section

[0093] 1013 Emergency Response Command Center

[0094] 1014 Action Command Section

[0095] 20_1 Outpost A

[0096] 20_k Outpost K

[0097] 20_n bases N

[0098] 30 Open Source

[0099] 40. Communication Network

[0100] 21. Carbon Dioxide Recovery Unit

[0101] 22 Management Device

[0102] 2101 Inhalation Side Baffle

[0103] 2102 First Sensor

[0104] 2103 Mechanical Filter

[0105] 2104 First Fan

[0106] 2105 Adsorption unit front baffle

[0107] 2106 Carbon Dioxide Capture Unit

[0108] 2107 Second Sensor

[0109] 2108 Adsorption Unit Rear Baffle

[0110] 2109 Second Fan

[0111] 2110 Third Sensor

[0112] 2111 Fourth Sensor

[0113] 2112 Storage Department

[0114] 2201 Acquisition Department

[0115] 2202 Control Department

[0116] 2203 Ministry of Communications

[0117] 401, 403 DAC setting area

[0118] 402 Location of Sudden Rainstorm

[0119] 404 Predicted location of sudden rainstorm.

Claims

1. A server device for remotely controlling the operation of at least one carbon dioxide recovery device for recovering carbon dioxide from a gas, characterized in that, The server device includes: A storage device that maintains the program used to control the operation of the carbon dioxide recovery unit; and A control device that reads and executes the program from the storage device. The control device performs the following processes: Processing of obtaining open source information from open source, the open source information containing meteorological and / or environmental information of a region including the location of the at least one carbon dioxide recovery device and a region wider than the location; Based on the time-varying changes in the open-source information, the processing of predicting meteorological or environmental changes in the area of ​​the base is performed. Based on predictions of meteorological or environmental changes in the area of ​​the base, a process is used to generate control commands for controlling the at least one carbon dioxide recovery device. as well as The control command is sent to the processing of the at least one carbon dioxide recovery device.

2. The server device according to claim 1, characterized in that, The control device also performs the following processes: Processing of measured meteorological or environmental data of the base area obtained from the at least one carbon dioxide recovery device; Processing is performed to generate action commands for controlling the operation of at least one carbon dioxide recovery device based on measured meteorological or environmental data of the location. as well as The action command is sent to the processing of the at least one carbon dioxide recovery device.

3. The server device according to claim 2, characterized in that, The control device also performs the following processes: Based on the comparison between the predicted meteorological or environmental changes in the area of ​​the base and the measured data, the processing of the control commands is corrected; and The revised control command is sent to the processing of the at least one carbon dioxide recovery device.

4. The server device according to claim 2, characterized in that, The measured environmental data of the base area includes at least one of the following measurements: humidity, temperature, gas concentration, or PM concentration of the base area.

5. The server apparatus according to claim 4, characterized in that, The control device also performs processing to obtain operational information from the at least one carbon dioxide recovery device, indicating the operating status of the carbon dioxide recovery device. The control device generates the action command in a manner that matches the operating status of the at least one carbon dioxide recovery device with measured environmental data of the base area.

6. The server apparatus according to claim 1, characterized in that, The environmental information for a wider area than the stated base location includes PM concentration.

7. The server apparatus according to claim 1, characterized in that, The control command is an instruction to stop the operation of the at least one carbon dioxide recovery device or to perform a protection action.

8. A DAC management system, characterized in that, have: Multiple carbon dioxide recovery units are deployed in multiple locations to recover carbon dioxide from the gas; Open source, which provides open source information containing meteorological and / or environmental information for multiple locations including the multiple carbon dioxide recovery devices and a wider area than the multiple locations. as well as The server device according to claim 1.

9. A method for remotely controlling the operation of at least one carbon dioxide recovery device for recovering carbon dioxide from a gas using a computer, characterized in that, The method includes the following processes: The computer reads the program from a storage device that holds the program used to control the operation of the carbon dioxide recovery device; The computer obtains open-source information from open source, which contains meteorological and / or environmental information for a region that includes the location of the at least one carbon dioxide recovery device and a region that is wider than the location. The computer predicts weather or environmental changes in the location of the base area based on the time-varying changes in the open-source information. The computer generates control commands for controlling the at least one carbon dioxide recovery device based on predictions of meteorological or environmental changes in the location of the base; and The computer sends the control commands to the at least one carbon dioxide recovery device.

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