CAPTURE METHOD AND CAPTURE STATION FOR FLUE GAS FROM CHEMICAL INDUSTRY PARK, AND APPLICATION THEREOF
20240271781 ยท 2024-08-15
Inventors
- Zhaomin LI (Shihezi, CN)
- Xueqin LI (Shihezi, CN)
- Haojie LI (Shihezi, CN)
- Zexin WANG (Shihezi, CN)
- Xiaoli ZHUANG (Shihezi, CN)
Cpc classification
F23J15/025
MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
International classification
Abstract
A capture method for flue gas from a chemical industrial park is performed as follows. A flue gas is analyzed to obtain composition and ingredient content, and then pre-processed. Classified capture is performed on ingredients of a pre-processed flue gas to obtain a residual tail gas and semi-processed products. Specifically, A classified capture model is constructed and trained, and the analysis data of the pre-processed flue gas is substituted to the trained model to obtain a classified distribution result, based on which the flue gas is distributed into the capture modules according to category for classified capture.
Claims
1. A capture method for flue gas from a chemical industrial park, comprising: (S1) detecting a flue gas sample in a flue to obtain basic parameters of the flue gas sample comprising composition and content; (S2) pre-processing the flue gas sample; (S3) performing classified capture on ingredients of a pre-processed flue gas to obtain a residual tail gas and a plurality of semi-processed products; (S4) processing the residual tail gas; and (S5) processing the plurality of semi-processed products to obtain a plurality of processed products.
2. The capture method of claim 1, wherein the step of detecting a flue gas sample to obtain basic parameters of the flue gas sample comprises: (S101) detecting and obtaining a flow rate and a pressure of the flue gas sample; (S102) according to the flow rate and pressure of the flue gas sample, arranging a sampling hole and a detecting module on the flue; and (S103) obtaining the composition and the content of ingredients of the flue gas sample through calculation.
3. The capture method of claim 1, wherein the step of pre-processing the flue gas sample comprises: (S201) preparing for secondary combustion for the flue gas sample; (S202) performing the secondary combustion on the flue gas sample to obtain a completely-burned flue gas; and (S203) filtering the completely-burned flue gas to obtain the pre-processed flue gas.
4. The capture method of claim 1, wherein the step of performing classified capture on ingredients of a pre-processed flue gas to obtain a residual tail gas and a plurality of semi-processed products comprises: (S301) constructing a capture module group, wherein the capture module group comprises a plurality of capture modules; (S302) distributing the pre-processed flue gas into the plurality of capture modules according to ingredient category for test capture; (S303) monitoring the plurality of capture modules to obtain test capture data; (S304) based on the test capture data, constructing a classified capture model, and training the classified capture model to obtain a trained classified capture model; (S305) analyzing the pre-processed flue gas to obtain relevant data of the pre-processed flue gas; (S306) substituting the relevant data of the pre-processed flue gas into the trained classified capture model for calculation to obtain a classified distribution result; and (S307) based on the classified distribution result, distributing the pre-processed flue gas into the plurality of capture modules according to the ingredient category for classified capture.
5. The capture method of claim 4, wherein the test capture data is unifiedly collected as: [W.sub.XC, W.sub.XN, W.sub.XS, W.sub.XT, W.sub.XP, W.sub.QC, W.sub.QN, W.sub.QS, W.sub.VC, W.sub.VN, W.sub.VS]; wherein W.sub.XC represents a carbon dioxide (CO.sub.2) concentration; W.sub.XN represents a nitrogen dioxide (NO.sub.2) concentration; W.sub.XS represents a sulfur dioxide (SO.sub.2) concentration; W.sub.XR represents temperature; W.sub.XP represents pressure; W.sub.QC represents a flow distributed to a CO.sub.2 capture module in the test capture; W.sub.QN represents a flow distributed to a NO.sub.2 capture module in the test capture; W.sub.QS represents a flow distributed to a SO.sub.2 capture module in the test capture; W.sub.VC represents CO.sub.2 capture efficiency; W.sub.VN represents NO.sub.2 capture efficiency; and W.sub.VS represents SO.sub.2 capture efficiency.
6. The capture method of claim 5, wherein the classified capture model is expressed as follows:
7. The capture method of claim 1, wherein the step of processing the residual tail gas comprises: (S401) detecting the residual tail gas, and setting a discharge condition; (S402) determining whether the residual tail gas meets the discharge condition according to a detection result; if yes, discharging the residual tail gas; otherwise, further processing the residual tail gas, and repeating steps (401)-(402) until the residual tail gas meets the discharge condition, and discharging the residual tail gas.
8. The capture method of claim 1, wherein the step of processing the plurality of semi-processed products to obtain a plurality of processed products comprises: (S501) purifying the plurality of semi-processed products; and (S502) compressing a plurality of purified products for tank filling.
9. A capture station for flue gas from a chemical industrial park, comprising: a detection module; a pre-processing unit; a capture module group; a classified distribution unit; a control terminal; a capture monitoring module; a server; a first processing unit; and a second processing unit; wherein the detection module is configured to detect a flue gas; the pre-processing unit is configured to pre-process the flue gas; the capture module group is configured for classified capture of the flue gas; the classified distribution unit is configured for classified distribution of the flue gas; the control terminal is configured to control and adjust working parameters in a whole capture process; the capture monitoring module is configured to monitor the capture module group; the server is configured for data processing and calculation; the first processing unit is configured to process a residual tail gas; and the second processing unit is configured to process a plurality of semi-processed products to obtain a plurality of processed products.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
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DETAILED DESCRIPTION OF EMBODIMENTS
[0060] To facilitate the understanding of the above technical solutions, the present disclosure will be further described below with reference to the accompanying drawings and embodiments.
[0061] Referring to
[0062] In an embodiment, the detection module 100 includes a first detecting unit 101 and a second detecting unit 102. The first detecting unit 101 is configured to detect the flue gas in the flue 20 and the pre-processing unit 200. When detecting the flue 20, the first detecting unit 101 is arranged on a sampling hole 21 of the flue 20. The second detecting unit 102 is configured to detect the flue gas in the first processing unit 600. And the pre-processing unit 200 is configured for complete combustion and filtration of flue gas.
[0063] In an embodiment, capture module group 500 includes a carbon dioxide (CO.sub.2) capture module 501, a nitrogen dioxide (NO.sub.2) capture module 502 and a sulfur dioxide (SO.sub.2) capture module 503. The classified distribution unit 300 is a flow control unit, including a plurality of conduction pipes and an electromagnetic valve, and is configured to control a flue gas flow distributed to the CO.sub.2 capture module 501, the NO.sub.2 capture module 502 and the SO.sub.2 capture module 503 in the capture module group 500.
[0064] In an embodiment, the capture monitoring module 800 is configured to detect a CO.sub.2 concentration W.sub.XC, a NO.sub.2 concentration W.sub.XN, a SO.sub.2 concentration W.sub.XS, a temperature W.sub.XT, a pressure W.sub.XP, a flow W.sub.QC distributed to the CO.sub.2 capture module in a test capture, a flow W.sub.QN distributed to the NO.sub.2 capture module in the test capture, a flow W.sub.QS distributed to the SO.sub.2 capture module in the test capture, CO.sub.2 capture efficiency W.sub.VC, NO.sub.2 capture efficiency W.sub.VN, and SO.sub.2 capture efficiency W.sub.VS in the CO.sub.2 capture module 501, the NO.sub.2 capture module 502 and the SO.sub.2 capture module 503.
[0065] In an embodiment, the server 900 can be an independent physical server, a server cluster or a distributed system consisting of multiple physical servers, or a cloud server providing basic cloud computing services, such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery network (CDN), and big data and artificial intelligence platforms. The server 900 is an electronic device configured to provide back-end service. For example, in this embodiment, the server 900 provides cloud computing services for the control terminal 400, particularly constructing and training a calculation model. In an embodiment, the control terminal 400 is configured to control the classified distribution unit 300 to capture and distribute. And the control terminal 400 can be an electronic device, such as a desktop computer, a laptop, a tablet computer and a smart phone, and is not limited herein.
[0066] Referring to
[0067] (S1) The flue gas sample in the flue is detected to obtain basic parameters of the flue gas sample including composition and content.
[0068] (S2) The flue gas sample is pre-processed.
[0069] (S3) Classified capture is performed on ingredients of a pre-processed flue gas to obtain a residual tail gas and a plurality of semi-processed products.
[0070] (S4) The residual tail gas is processed.
[0071] (S5) The semi-processed products are processed to obtain the processed products.
[0072] In an embodiment, the basic parameters of the flue gas sample are obtained through the following steps.
[0073] (S101) Flow rate and pressure of the flue gas sample in the flue are detected.
[0074] (S102) According to the flow rate and the pressure of the flue gas sample, the sampling hole 21 and the first detecting unit 101 are arranged on the flue.
[0075] (S103) The composition and the content of ingredients of the flue gas sample are obtained through calculation.
[0076] In an embodiment, the flue gas sample is pre-processed through the following steps.
[0077] (S201) Preparation has been made for secondary combustion of the flue gas sample, for example, an appropriate amount of oxygen is filled.
[0078] (S202) The secondary combustion is performed on the flue gas sample to obtain completely-burned flue gas.
[0079] (S203) The completely-burned flue gas is filtered to remove particulate matter, and the pre-processed flue gas is obtained.
[0080] In an embodiment, the classified capture of ingredients of the pre-processed flue gas is performed as follows.
[0081] (S301) The capture module group including the plurality of capture modules is constructed.
[0082] (S302) The pre-processed flue gas is distributed into the plurality of capture modules according to ingredient category for test capture.
[0083] (S303) The plurality of capture modules are monitored to obtain the test capture data.
[0084] (S304) Based on the test capture data, the classified capture model is further constructed and trained.
[0085] (S305) The pre-processed flue gas is analyzed to obtain relevant data.
[0086] (S306) The relevant data of the pre-processed flue gas is substituted into the trained classified capture model to obtain a classified calculation result.
[0087] (S307) Based on the classified calculation result, the pre-processed flue gas is distributed into the plurality of capture modules according to the ingredient category for classified capture.
[0088] In an embodiment, the test capture data is unifiedly collected as:
[0089] where W.sub.XC represents the CO.sub.2 concentration; W.sub.XN represents the NO.sub.2 concentration; W.sub.XS represents the SO.sub.2 concentration; W.sub.XT represents the temperature; W.sub.XP represents the pressure; W.sub.QC represents the flow distributed to the CO.sub.2 capture module in the test capture; W.sub.QN represents the flow distributed to the NO.sub.2 capture module in the test capture; W.sub.QS represents the flow distributed to the SO.sub.2 capture module in the test capture; W.sub.VC represents the CO.sub.2 capture efficiency; W.sub.VN represents the NO.sub.2 capture efficiency; and W.sub.VS represents the SO.sub.2 capture efficiency.
[0090] In an embodiment, the classified capture model is expressed as follows:
[0091] where V.sub.QC represents a calculated flow distributed to the CO.sub.2 capture module; V.sub.QN represents a calculated flow distributed to the NO.sub.2 capture module; and V.sub.QS represents a calculated flow distributed to the SO.sub.2 capture module;
[0092] F.sub.C( ) represents a CO.sub.2 capture-calculation model; F.sub.N ( ) represents a NO.sub.2 capture-calculation model; and FS( ) represents a SO.sub.2 capture-calculation model.
[0093] In an embodiment, the residual tail gas is processed as follows.
[0094] (S401) The residual tail gas is detected, and a discharge condition is set.
[0095] (S402) Whether the residual tail gas meets the discharge condition is determined.
[0096] (S403) If the residual tail gas meets the discharge condition, the residual tail gas is directly discharged; otherwise, the residual tail gas is further processed through the steps (401)-(402) until the discharge condition is met, and the residual tail gas is discharged.
[0097] In an embodiment, the semi-processed products are processed through the following steps.
[0098] (S501) The semi-processed products are purified.
[0099] (S502) The purified products are compressed for tank filling.
[0100] It should be noted by those skilled in the art that an embodiment of the present disclosure can be provided as a method, a system, or a computer program product. Therefore, the present disclosure can take a form of full hardware embodiments, full software embodiments, or embodiments combining software and hardware aspects. In addition, the present disclosure can take a form of a computer program product implemented on one or multiple computer available storage media containing computer available procedure code (including but not limited to a disk memory, a compact disc read-only memory (CD-ROM) and an optical memory).
[0101] The procedure instructions can be installed on a computer or other programmable data processing equipment, thereby a series of operation steps are performed on the computer or the other programmable data processing equipment to produce computer-implemented processing, so that the procedure instructions on the computer or the other programmable data processing equipment are configured to realize one or more processes of a flow chart diagram and/or specific function steps in a one or more blocks of a block diagram. Although the preferred embodiments of the present disclosure have been described, embodiments may be subject to additional changes and modifications as long as those skilled in the art know the basic creative concepts. Therefore, the appended claims are intended to include the preferred embodiments and all changes and modifications falling within the scope of the present disclosure.
[0102] It is obvious that those skilled in the art can make various modification and transformation of the present disclosure without departing from the spirit and scope of the present invention. In this way, if the various modification and transformation of the present disclosure are within the scope of the appended claims and equivalent technical solutions of the present disclosure, the present disclosure is intended to include the various modification and transformation.
[0103] Described above are only preferred embodiments of this application, and are not intended to limit the scope of this application. Any equivalent replacements or modification made by those skilled in the art without departing from the spirit of this application shall fall within the scope of this application defined by the appended claims.