CN114472491B - Material balance and process optimization method for treating greasy soil by segmented thermal desorption process - Google Patents
Material balance and process optimization method for treating greasy soil by segmented thermal desorption process Download PDFInfo
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Abstract
The invention belongs to the technical field of segmented thermal desorption remediation of petroleum-contaminated soil, and particularly relates to a material balance and process optimization method for treating greasy dirt soil by a segmented thermal desorption process. The thermal desorption treatment process of different temperature ranges is used as an investigation object, the initial content of dirty oil, the desorption amount of the dirty oil and the residual quantity of the dirty oil in the dirty soil in each desorption stage are analyzed, a dirty oil material balance model based on the multi-stage thermal desorption process treatment process is constructed, the real-time change characteristic of the dirty oil desorption rate in each thermal desorption stage is investigated, and the optimization criterion of the thermal desorption treatment efficiency under the multi-stage temperature range condition is established, so that the distribution state of the dirty oil material in the multi-stage thermal desorption process is scientifically and accurately evaluated, the segmented thermal desorption treatment process of the dirty soil with high efficiency and low consumption is realized, and a new development direction is provided for the optimization of the thermal desorption repair process of the dirty soil.
Description
Technical Field
The invention belongs to the technical field of segmented thermal desorption remediation of petroleum-contaminated soil, and particularly relates to a material balance and process optimization method for treating greasy dirt soil by a segmented thermal desorption process, which is used for evaluating and optimizing the optimization of working condition states and treatment efficiency of the segmented thermal desorption process in the application of actual remediation and treatment engineering of the greasy dirt soil.
Background
The thermal desorption remediation technology of the contaminated soil becomes one of important practical technologies in engineering application disposal links in the field of soil remediation, and is widely favored by people in the field of environment due to the strong pollutant removal effect and short disposal period. However, the thermal desorption technique works on the basis of the phase change of the organic substances after reaching the boiling point, and is realized by the gasification desorption of the organic substances. The method has the advantages of high efficiency and low consumption for low-boiling-point organic pollutants, and can reach the boiling point temperature required by desorption for high-boiling-point organic matters under the action of high temperature, so that the energy consumption and the cost of thermal desorption treatment are greatly increased, and more importantly, for complex mixed pollutants such as petroleum, the ultrahigh desorption temperature can cause the condensation polymerization and coking reaction of macromolecular colloid, asphaltene and other substances, so that desorption equipment is blocked, and the desorption efficiency is reduced. Therefore, in the thermal desorption treatment process, it is necessary to perform material balance analysis for each link of the treatment, and pay attention to the desorption process and the operation state of the desorption equipment in real time.
With the continuous development and optimization of the thermal desorption treatment technology process, the segmented thermal desorption treatment technology and corresponding equipment which are oriented to energy conservation and consumption reduction are researched, developed and perfected. The segmented thermal desorption process is characterized in that a desorption temperature range stage is designed artificially and reasonably by analyzing the distillation range of the dirty oil in the dirty soil, and simultaneously, the heat supply flue gas and the dirty soil material object are guided into a thermal desorption furnace, so that the high-boiling-point material is firstly contacted with the high-temperature heat supply flue gas, the specific targeted heat supply of the organic pollutants is obtained, and the heat supply energy consumption is greatly saved.
However, in the disposal process of the segmented thermal desorption process, organic connection aiming at each desorption temperature segment is a key link for ensuring smooth realization of energy conservation and consumption reduction. By establishing the dirty oil desorption material balance model aiming at the segmented thermal desorption process, the material content change of each desorption stage and the change relation of the material content change along with the desorption time can be accurately observed in real time, so that the material balance state in the desorption process can be scientifically and accurately observed, and data support is provided for the connection of the temperature-variable desorption nodes. In addition, through the establishment of the balance model, the desorption period of each desorption stage can be effectively optimized, so that the efficient desorption of the dirty oil in the soil is realized.
Disclosure of Invention
Based on the demand design, the invention aims to provide a material balance and process optimization method for treating greasy dirt soil by a segmented thermal desorption process. The patent provides a scientific and reasonable dirty oil material balance method for segmentation thermal desorption processing technology, divides desorption temperature range stages according to dirty oil boiling range characteristics in dirty soil, and carries out dirty soil continuous segmentation thermal desorption processing under corresponding temperature range conditions, investigates dirty oil distribution characteristics of each stage of processing process, and further realizes thermal desorption processing technology optimization, provides feasible effectual regulation and control strategy for the optimization of high-efficient thermal desorption processing technology, in order to obtain the application in the thermal desorption processing engineering of segmentation thermal desorption technology to oil contaminated soil.
In order to achieve the purpose, the invention adopts the technical scheme that:
a material balance and process optimization method for treating greasy dirt soil by a segmented thermal desorption process is characterized by carrying out balance on residual and desorption content of the dirty oil in a segmented thermal desorption treatment stage, establishing a dirty oil content balance model, investigating dirty oil distribution characteristics of each stage in the treatment process, simulating dirty oil desorption efficiency of each treatment stage and realizing optimization of the thermal desorption treatment process; the method comprises the following steps:
(1) Dividing a desorption temperature range stage according to the boiling range characteristics of the dirty oil in the dirty soil;
(2) Carrying out multiple timing sample collection according to sampling intervals in the disposal process of each thermal desorption temperature range i, and determining Q Ri A value;
(2) Based on Q Ri Respectively establishing material balance models under each temperature range by the value and the corresponding sampling time t;
(4) Simulation calculation of dirty oil desorption rate r by utilizing dirty oil desorption distribution model in each thermal desorption temperature range i ；
(5) And judging the thermal desorption treatment process by using the optimization criterion parameters of the thermal desorption treatment efficiency, and determining whether to enter the next temperature process treatment stage or finish the whole thermal desorption treatment process.
The sampling period time t of the timed sample collection j Every 3-5 min.
The step of measuring the residual quantity of the dirty oil is to measure the content of the dirty oil by adopting a solid phase extraction method.
The quantitative relation between the total amount of original dirty oil and the desorption amount of dirty oil in each stage of treatment, the residual amount of dirty oil in soil after each stage of treatment and the residual amount of final dirty oil after the oily soil treatment is established, and the optimization criterion of thermal desorption treatment efficiency in each temperature stage is further established, wherein the related balance parameters specifically comprise:
(1) Total initial amount of dirty oil (Q) in greasy soils T )；
(2) Actual desorption amount (Q) of dirty oil under various thermal desorption temperature range conditions Di ，i＝1～n)；
(3) Residual amount of dirty oil (Q) after completion of treatment under each thermal desorption temperature range condition Ri ，i＝1～n)；
(4) Residual amount of dirty oil (Q) of each sample collected under each thermal desorption temperature range condition Rij ，i＝1～n，j＝1～m)；
(5) Maximum temperature value (T) corresponding to each thermal desorption temperature range condition i ，i＝1～n)；
(6) Sump oil desorption kinetic model rate constant (k) under each thermal desorption temperature range condition i ，i＝1～n)；
(7) Time node (t) for collecting sump oil desorption sample under each thermal desorption temperature range condition i,j ，i＝1～n，j＝1～m)；
(8) Total period of dirty oil desorption (t) under each thermal desorption temperature range condition i ，i＝1～n)；
The dirty oil content distribution balance general formula of the dirty oil soil in the process of the segmented thermal desorption treatment is as follows:
wherein the actual desorption amount expression of the dirty oil under each thermal desorption temperature range condition is as follows:
Q Di ＝Q Ri-1 -Q Ri (formula two)
When i =1, Q R0 ＝Q T Then Q is D1 ＝Q T -Q R1 ；
When i is greater than or equal to 2, Q Di ＝Q Ri-1 -Q Ri ；
The dirty oil desorption kinetic model under each thermal desorption temperature range condition is as follows:
when the ratio of i =1, the control unit is,
then there are:
when i is more than or equal to 2,
then there are:
establishing a material balance model of the dirty oil of the oil soil, which changes along with the processing time period in each temperature process section of the segmented thermal desorption, by integrating the formula I to the formula V;
based on Q Ri Respectively establishing material balance models under each temperature range by using the value and the corresponding sampling time t, wherein the material balance models comprise the dirty oil residual quantity Q sampled for j times in the current temperature range Ri,j Substituting the values into the material balance model under each temperature range to obtain the model parameter k of the current temperature range i i 、n i ；
The thermal desorption treatment efficiency is as follows: by monitoring the change rate of the desorption amount of the dirty oil in each thermal desorption temperature range treatment stage along with the treatment time, namely the dirty oil desorption rate (r):
wherein r is i Is the dirty oil desorption rate of the ith thermal desorption temperature range treatment stage.
The optimization criterion of the thermal desorption treatment efficiency is as follows:
let r be imax The maximum desorption rate in a single sampling period in each thermal desorption temperature range disposal process;
when r is i /r imax When the temperature is less than or equal to 10-30 percent, the treatment process of the ith thermal desorption temperature range stage can be stopped, and the ith +1 treatment process section is entered or the whole process treatment process is ended.
The invention has the advantages that:
1) The object aimed by the material balance and process optimization method provided by the invention is a multi-stage thermal desorption treatment process which is designed for the purpose of efficiently utilizing the energy consumption of a high-temperature heat source, so that the method is performed in advance of an application platform;
2) The multi-stage thermal desorption treatment process has the characteristic of multi-stage temperature range condition combined treatment, so that organic connection among the temperature ranges becomes the key for guaranteeing the efficiency and energy consumption of the whole thermal desorption treatment process, the material balance model provided by the invention can provide an accurate monitoring platform for the operation and treatment process of the multi-stage thermal desorption process, and can carry out real-time dirty oil material distribution monitoring for each temperature range desorption section, thereby outputting reliable data reference for the operation state of a treatment system and guaranteeing the smooth operation of each Wen Chengduan desorption process;
3) The method for optimizing the multi-stage thermal desorption process provided by the invention is characterized in that the real-time dirty oil desorption rate in the process of each thermal desorption temperature process section is used as a reference index, the desorption process is evaluated by evaluating the proportion of the desorption rate to the maximum desorption rate, and the connection nodes of the temperatures Cheng Jian are optimized, so that the method is an effective means for realizing the accurate regulation and control of the whole flow of the multi-stage thermal desorption process, and is beneficial to constructing a high-efficiency operation disposal process chain of the whole process of the multi-stage thermal desorption.
4) The material balance and process optimization method provided by the invention is developed aiming at a multi-stage thermal desorption treatment process, but also provides reference for monitoring and optimization methods for the operation process of other forms of thermal desorption processes, and has the significance of deeply developing other types of thermal desorption processes by radiation and further saving energy and reducing consumption.
Drawings
FIG. 1 is a schematic view of a staged thermal desorption process according to an embodiment of the present invention
FIG. 2 is a real boiling point curve and thermal desorption temperature range division of dirty oil in oil contaminated soil adopted in the embodiment of the present invention
FIG. 3 is a thermal desorption kinetic curve of contaminated oil in each temperature range under the conventional process conditions provided by the embodiment of the present invention
FIG. 4 is a thermal desorption kinetic curve of contaminated oil in each temperature range under the optimized process conditions provided by the embodiment of the invention
FIG. 5 is a thermal desorption rate distribution curve of contaminated oil in each temperature range under the optimized process conditions provided by the embodiment of the present invention
FIG. 6 is a graph showing the optimal overall thermal desorption rate distribution and the optimal dirty oil desorption amount distribution under the optimized process conditions according to the embodiment of the present invention
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples.
The embodiment of the invention carries out application evaluation aiming at the process of the segmented thermal desorption treatment process of the petroleum polluted soil, carries out segmented thermal desorption treatment on the field historical high-concentration oil stain soil in the Liaohe oil field area by utilizing (1) the segmented thermal desorption treatment process with a fixed treatment period and (2) the treatment process which is optimized by a thermal desorption material balance model and a treatment efficiency optimization criterion, and carries out comparative evaluation on the traditional segmented thermal desorption process and the optimization process by virtue of the distribution of dirty oil materials, the treatment period, the total dirty oil desorption amount and the energy consumption efficiency in each desorption stage. The specific contents of the examples are described below.
Embodiment of carrying out treatment optimization and effect evaluation analysis on high-concentration petroleum polluted soil by using segmented thermal desorption process
The dirty oil soil sample is collected from the historical residual polluted soil in the Liaohe oil field area, and the oil content of the dirty oil in the dirty soil is up to 12.8 percent through test analysis, so that the dirty oil belongs to the high-concentration petroleum polluted soil. Extracting and distilling range analyzing dirty oil in soil, wherein distilling range distribution results are shown in figure 2, and according to the mass fraction of the dirty oil in each distilling range and by combining actual treatment experience, the dirty oil fraction is divided into four stages (Phase), namely: 24.06 percent at 0-200 ℃, 27.98 percent at 200-350 ℃, 24.98 percent at 350-500 ℃ and 19.21 percent at 500-650 ℃.
The oil soil is treated by adopting a segmented thermal desorption process, the treatment process is carried out in a small-scale segmented desorption furnace device in a laboratory, and the schematic diagram of the treatment process is shown in figure 1. The thermal desorption treatment of the oil soil is carried out by respectively adopting a traditional segmented thermal desorption process with a set treatment period and an optimization process with a variable treatment period based on the distribution characteristics of the dirty oil materials. The feeding amount of the oil contaminated soil is 100 g/batch, the treatment periods of four thermal desorption temperature range stages in the traditional process are all 30min, and the treatment period in the optimized process is determined according to the real-time working condition.
First, a conventional stepwise thermal desorption treatment process is used, and thermal desorption treatment is performed under temperature conditions of 200 ℃ (Phase 1), 350 ℃ (Phase 2), 500 ℃ (Phase 3) and 650 ℃ (Phase 4), respectively. Every 3min processing process carries out once greasy dirt soil sample collection to total sump oil volume of remaining in the survey sample soil, handles the process sump oil material balance according to the sump oil volume of remaining of each thermal desorption overall processing stage, the balance result is shown in Table 1, the sump oil desorption volume of each thermal desorption stage is:
Phase 1：Q D1 ＝Q T -Q R1 ＝12.8％-9.75％＝3.05％；
Phase 2：Q D2 ＝Q R1 -Q R2 ＝9.75％-6.26％＝3.49％；
Phase 3：Q D3 ＝Q R2 -Q R3 ＝6.26％-3.29％＝2.97％；
Phase 4：Q D4 ＝Q R3 -Q R4 ＝3.29％-1.24％＝2.05％；
the dirty oil content distribution balance general formula of the dirty oil soil in the segmented thermal desorption treatment process is as follows:
Q T ＝Q D1 +Q D2 +Q D3 +Q D4 +Q R4 ＝3.05％+3.49％+2.97％+2.05％+1.24％＝12.8％；
based onAnd (4) according to the distribution characteristics of the dirty oil material, carrying out thermal desorption kinetic process analysis. According to the residual quantity value of the sampled sump oil which is measured for a plurality of times at each temperature range, fitting is carried out on the model to obtain a model parameter k corresponding to each temperature range 1 、n 1 、k 2 、n 2 、k 3 、n 3 、k 4 、n 4 As shown in table 1 and fig. 3, the desorption kinetic models obtained by fitting according to the formula three in the desorption stage under each temperature range are respectively:
Phase 1：Q R1 ＝12.57·exp(-0.060·t 1 0.448 )；
Phase 2：Q R2 ＝9.49·exp(-0.059·t 2 0.609 )；
Phase 3：Q R3 ＝5.62·exp(-0.056·t 3 0.697 )；
Phase 4：Q R4 ＝3.13·exp(-0.054·t 4 0.914 )；
therefore, the desorption rate is changed along with the increase of the desorption temperature, but in each desorption process, the desorption rate is gradually reduced along with the continuation of the desorption period, which shows that the desorption efficiency is continuously reduced at the later stage of thermal desorption treatment, so that the energy efficiency is gradually reduced, namely the overall energy consumption is increased, and therefore, a larger process optimization space exists to increase the thermal desorption treatment efficiency. Therefore, optimization criteria of the thermal desorption treatment efficiency of the oil soil are adopted, namely, the desorption rate (r) of the oil soil is simulated in real time through desorption kinetic models of all temperature stages (formula six), and r is calculated i /r imax Is dynamically changed to i /r imax And taking the treatment termination characteristic of the current stage as less than or equal to 10-30%, and entering the treatment of the next desorption temperature range stage, thereby constructing a sectional thermal desorption treatment optimization process flow aiming at the oil stain type soil. The optimized distribution of the dirty oil material is shown in table 2, firstly, the dirty oil soil treatment and the desorption sample monitoring analysis are performed on the first temperature stage, and a desorption kinetic model (fig. 4) and a thermal desorption rate distribution model (fig. 5) are established according to a formula four, namely:
Phase 1：Q R1 ＝12.57·exp(-0.060·t 1 0.448 )；
then calculate r i /r imax Value when r i /r imax When the temperature is less than or equal to 15 percent, the thermal desorption treatment time of the stage is 22min, so if the treatment process at the temperature is continued, the thermal desorption efficiency can be continuously reduced, the treatment of the first stage (200 ℃) is stopped, the second stage treatment (350 ℃) is carried out, and the dirty oil distribution at the moment is as follows:
Phase 1：Q D1 ＝Q T -Q R1 ＝12.8％-9.89％＝2.91％；
in the thermal desorption treatment (350 ℃) process of the second stage, the initial content of the dirty oil in the greasy soil is 9.89%, and after the data of the residual quantity of the dirty oil in real-time monitoring are obtained, a desorption kinetic model is established according to a formula five, namely:
Phase 2：Q R2 ＝9.62·exp(-0.059·t 2 0.556 )；
then calculate r i /r imax Value when r i /r imax When the temperature is less than or equal to 20 percent, the thermal desorption treatment time of the stage is 20min, the treatment of the second stage (350 ℃) is terminated, the treatment of the third stage (500 ℃) is carried out, and the dirty oil distribution at the time is as follows:
Phase 2：Q D2 ＝Q R1 -Q R2 ＝9.89％-7.04％＝2.85％；
in the third stage of thermal desorption treatment (500 ℃), the initial content of the dirty oil in the greasy soil is 7.04%, and after the data of the residual quantity of the dirty oil in real-time monitoring are obtained, a desorption kinetic model is established according to a formula five, namely:
Phase 3：Q R3 ＝6.679·exp(-0.0585·t 3 0.748 )；
then calculate r i /r imax Value when r i /r imax When the temperature is less than or equal to 25 percent, the thermal desorption treatment time of the stage is 24min, the treatment of the third stage (500 ℃) is terminated, and the stage enters a fourth stage (650 ℃), wherein the dirty oil distribution is as follows:
Phase 3：Q D3 ＝Q R2 -Q R3 ＝7.04％-3.56％＝3.49％；
in the thermal desorption treatment (650 ℃) process of the fourth stage, the initial content of the dirty oil in the greasy soil is 3.56%, and after the data of the residual quantity of the dirty oil in real-time monitoring are obtained, a desorption kinetic model is established according to a formula five, namely:
Phase 4：Q R4 ＝3.34·exp(-0.0561·t 4 1.318 )；
then calculate r i /r imax Value when r i /r imax When the temperature is less than or equal to 15 percent, the thermal desorption treatment time of the stage is 19min, and the dirty oil distribution at the moment is as follows:
Phase 4：Q D4 ＝Q R3 -Q R4 ＝3.56％-0.20％＝3.35％；
the residual quantity after the thermal desorption treatment of the total dirty oil reaches 0.2 percent (Q) R4 ) And immediately stopping the whole treatment process to finish the thermal desorption treatment process.
In summary, the optimal thermal desorption treatment processes in the temperature range stages are organically integrated to form an optimal thermal desorption treatment process route, and the optimal dirty oil thermal desorption material distribution and thermal desorption treatment efficiency optimization criterion characterization results are shown in fig. 6.
Therefore, the optimal thermal desorption treatment process established for the oil soil sample can be applied to the treatment and application process of the segmented thermal desorption engineering of the oil soil.
Further, the energy consumption and energy efficiency characteristics in the segmented thermal desorption treatment process and the traditional periodic segmented thermal desorption treatment process are analyzed and optimized in a comparative manner (table 3), the energy efficiency saving ratio under the unit contaminated oil desorption amount in the first stage (200 ℃) is 23.13%, the energy efficiency saving ratio under the unit contaminated oil desorption amount in the second stage (350 ℃) is 18.14%, the energy efficiency saving ratio under the unit contaminated oil desorption amount in the third stage (500 ℃) is 31.75%, the energy efficiency saving ratio under the unit contaminated oil desorption amount in the fourth stage (650 ℃) is 61.26%, and comprehensive calculation shows that the energy efficiency saving ratio in the optimized thermal desorption technological process compared with the traditional process reaches 35.67%.
Therefore, the dirty oil desorption material balance model and the process optimization method in the segmented thermal desorption treatment process have good thermal desorption treatment process characterization effect and process optimization function, and therefore the dirty oil desorption material balance model and the process optimization method have wide application prospects in future engineering application of segmented thermal desorption treatment of dirty soil.
TABLE 1
TABLE 2
TABLE 3
Claims (8)
1. A material balance and process optimization method for treating greasy dirt soil by a segmented thermal desorption process is characterized in that the residual and desorption contents of the dirty oil in the segmented thermal desorption treatment stage are balanced, a dirty oil content balance model is established, the dirty oil distribution characteristics of each stage in the treatment process are investigated, the dirty oil desorption efficiency of each treatment stage is simulated, and the optimization of the thermal desorption treatment process is realized; the method comprises the following steps:
(1) Dividing a desorption temperature range stage according to the boiling range characteristics of the dirty oil in the dirty soil;
(2) Carrying out multiple timing sample collection according to sampling intervals in the treatment process of each thermal desorption temperature range i, and determining Q Ri A value;
(2) Based on Q Ri Respectively establishing a material balance model under each temperature range by the value and the corresponding sampling time t;
(4) Simulation calculation of dirty oil desorption rate r by utilizing dirty oil desorption distribution model in each thermal desorption temperature range i ；
(5) And judging the thermal desorption treatment process by using the optimization criterion parameters of the thermal desorption treatment efficiency, and determining whether to enter the next temperature process treatment stage or finish the whole thermal desorption treatment process.
2. The material balance and process optimization method for treating greasy dirt soil through segmented thermal desorption process according to claim 1, characterized in that the sampling period time t of the timing sample collection j Every 3-5 min.
3. The material balance and process optimization method for treating oil contaminated soil by using the segmented thermal desorption process according to claim 1, wherein the step of measuring the residual amount of the contaminated oil is to measure the content of the contaminated oil by using a solid-phase extraction method.
4. The method for material balance and process optimization for disposing the greasy dirt soil by the segmented thermal desorption process according to claim 1, wherein the quantitative relations between the total amount of the original dirty oil and the desorption amount of the dirty oil in each stage of disposal, the residual amount of the dirty oil in the soil after each stage of disposal and the final residual amount of the dirty oil after the greasy dirt soil disposal are established, and the optimization criterion of the thermal desorption disposal efficiency in each temperature stage is further established, wherein the related balance parameters specifically comprise:
(1) Initial gross sump oil (Q) in greasy soils T )；
(2) Actual desorption amount (Q) of dirty oil under various thermal desorption temperature range conditions Di ，i＝1～n)；
(3) Residual amount of dirty oil (Q) after completion of treatment under each thermal desorption temperature range condition Ri ，i＝1～n)；
(4) Residual sump oil amount (Q) of each sample collected under each thermal desorption temperature range condition Ri,j ，i＝1～n，j＝1～m)；
(5) Maximum temperature value (T) corresponding to each thermal desorption temperature range i ，i＝1～n)；
(6) Sump oil desorption kinetic model rate constant (k) under each thermal desorption temperature range condition i ，i＝1～n)；
(7) Time node (t) for collecting dirty oil desorption sample under each thermal desorption temperature range condition i,j ，i＝1～n，j＝1～m)；
(8) Total period of dirty oil desorption (t) under each thermal desorption temperature range condition i ，i＝1～n)。
5. The material balance and process optimization method for disposing the oil contaminated soil by the segmented thermal desorption process according to claim 4, wherein the oil contaminated soil has a general dirty oil content distribution balance formula in the segmented thermal desorption disposal process:
wherein the actual desorption amount expression of the dirty oil under each thermal desorption temperature range condition is as follows:
Q Di ＝Q Ri-1 -Q Ri (formula two)
When i =1, Q R0 ＝Q T Then Q is obtained D1 ＝Q T -Q R1 ；
When i is greater than or equal to 2, Q Di ＝Q Ri-1 -Q Ri ；
The dirty oil desorption kinetic model under each thermal desorption temperature range condition is as follows:
when the ratio of i =1, the control unit is,
then there are:
when i is more than or equal to 2,
then there are:
and (4) establishing a material balance model of the dirty oil of the oil soil, which changes along with the processing time period in each temperature process section of the segmented thermal desorption, by integrating the formula I to the formula V.
6. The material balance and process optimization method for treating greasy dirt soil through segmented thermal desorption process according to claim 4, characterized in that the Q-based method is used Ri Respectively establishing material balance models under each temperature range by using the value and the corresponding sampling time t, wherein the material balance models comprise sump oil residue Q sampled for j times in the current temperature range Ri,j Substituting the values into the material balance model under each temperature range to obtain the model parameter k of the current temperature range i i 、n i 。
7. The material balance and process optimization method for treating oil contaminated soil by using a segmented thermal desorption process according to claim 4, wherein the thermal desorption treatment efficiency is as follows: by monitoring the change rate of the desorption amount of the dirty oil in each thermal desorption temperature range treatment stage along with the treatment time, namely the dirty oil desorption rate (r):
wherein r is i The dirty oil desorption rate of the ith thermal desorption temperature range treatment stage.
8. The material balance and process optimization method for treating oil contaminated soil by using a segmented thermal desorption process according to claim 4, wherein the optimization criterion of the thermal desorption treatment efficiency is as follows:
let r be imax The maximum desorption rate in a single sampling period in each thermal desorption temperature range disposal process;
when r is i /r imax When the content is less than or equal to 10-30 percent, the ith heat dehydration can be stoppedAnd (4) the treatment process of the temperature adhering stage enters the (i + 1) th treatment process section or finishes the whole process treatment process.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002119951A (en) * | 2000-10-13 | 2002-04-23 | Sumitomo Metal Mining Co Ltd | System for managing cleaning of soil and groundwater and method for managing cleaning thereof |
| CN104463689A (en) * | 2014-12-08 | 2015-03-25 | 环境保护部南京环境科学研究所 | Method for determining discharge capacity of drainage basin fresh water aquiculture pollution |
| WO2020088485A1 (en) * | 2018-11-02 | 2020-05-07 | 浙江大学 | Intelligent multi-pollutant ultra-low emission system and global optimization method |
| CN112619838A (en) * | 2020-12-24 | 2021-04-09 | 中国科学院沈阳应用生态研究所 | Cleaning-heat treatment coupling process for high-concentration petroleum-polluted soil |
| CN112620330A (en) * | 2020-11-30 | 2021-04-09 | 中国科学院沈阳应用生态研究所 | Selection method of application modes of thermal desorption technology for petroleum-polluted soil |
| CN113326607A (en) * | 2021-05-14 | 2021-08-31 | 中国科学院沈阳应用生态研究所 | Material balance method based on greasy soil cleaning and disposal process and application thereof |
| CN113361109A (en) * | 2021-06-09 | 2021-09-07 | 中国科学院沈阳应用生态研究所 | Energy consumption balancing method for segmented thermal desorption treatment process of oil contaminated soil and application of energy consumption balancing method |
Family Cites Families (2)
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| GB2498736A (en) * | 2012-01-25 | 2013-07-31 | Nov Downhole Eurasia Ltd | Apparatus and method for treating hydrocarbon containing materials |
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Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002119951A (en) * | 2000-10-13 | 2002-04-23 | Sumitomo Metal Mining Co Ltd | System for managing cleaning of soil and groundwater and method for managing cleaning thereof |
| CN104463689A (en) * | 2014-12-08 | 2015-03-25 | 环境保护部南京环境科学研究所 | Method for determining discharge capacity of drainage basin fresh water aquiculture pollution |
| WO2020088485A1 (en) * | 2018-11-02 | 2020-05-07 | 浙江大学 | Intelligent multi-pollutant ultra-low emission system and global optimization method |
| CN112620330A (en) * | 2020-11-30 | 2021-04-09 | 中国科学院沈阳应用生态研究所 | Selection method of application modes of thermal desorption technology for petroleum-polluted soil |
| CN112619838A (en) * | 2020-12-24 | 2021-04-09 | 中国科学院沈阳应用生态研究所 | Cleaning-heat treatment coupling process for high-concentration petroleum-polluted soil |
| CN113326607A (en) * | 2021-05-14 | 2021-08-31 | 中国科学院沈阳应用生态研究所 | Material balance method based on greasy soil cleaning and disposal process and application thereof |
| CN113361109A (en) * | 2021-06-09 | 2021-09-07 | 中国科学院沈阳应用生态研究所 | Energy consumption balancing method for segmented thermal desorption treatment process of oil contaminated soil and application of energy consumption balancing method |
Non-Patent Citations (2)
| Title |
|---|
| 含汞盐泥及土壤处理工艺技术研究;吴学勇等;《环境科学导刊》;20171231;第36卷(第1期);60-65,79 * |
| 日化行业挥发性有机物排放特征调查研究――以广州市某典型日化企业为例;陈小燕等;《日用化学工业》;20161130;第46卷(第11期);665-670 * |
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