VOCs emission reduction potential prediction method based on terminal control level

Abstract

The invention discloses a VOCs emission reduction potential prediction method based on a terminal control level, and the method comprises the steps: calculating the annual emission amount of VOCs according to the VOCs emission concentration of an enterprise in combination with the parameters of an exhaust funnel and the operation time of equipment; establishing an emission factor library based on the VOCs components; calculating the processing efficiency according to a concentration quantitative analysis result, and evaluating the VOCs removal efficiency of different technologies; according to the VOCs removal level of the prior art of the enterprise and the reachable treatment efficiency of the treatment technical guide recommendation technology, different emission reduction scenes are set, and the VOCs emission reduction potentials of different enterprises are evaluated; and based on the emission factor library, checking the VOCs emission amount of the industry, setting an emission reduction scene in combination with a technical guide, and evaluating the emission reduction potential of the industry under the applicable technology. According to the method, the VOCs emission reduction potential of different industries and enterprises is evaluated on the basis of the quantitative requirement of VOCs emission reduction of the industrial enterprises and the reality of technical feasibility, data support is provided for tail-end treatment and control of VOCs emission reduction of the industrial enterprises, and the target requirement for continuously improving the environmental air quality is met.

Description

Technical Field

[0001] This invention relates to the field of waste gas treatment and emission reduction technology, specifically to a method for predicting VOCs emission reduction potential based on end-of-pipe control levels. Background Technology

[0002] my country has a large VOCs emission volume, with numerous, widespread, and dispersed emission sources. VOCs are important precursors to secondary organic aerosols and ozone, possessing complex compositions. Even under simple conditions such as low wind speed and strong sunlight, they can undergo photochemical reactions with NOx, causing secondary pollution. Currently, PM2.5 levels in major cities... 2.5 Frequent exceedances of O3 pose greater challenges to the treatment and control of VOCs pollutants.

[0003] As evidenced by the policies and standards gradually introduced in recent years, in-depth promotion of VOCs pollution control has become one of the important goals in my country's efforts to solve air pollution problems. Therefore, clarifying the VOCs emission characteristics of key industry processes, understanding the actual VOCs emissions and reduction status, and assessing the actual efficiency of existing VOCs control technologies are important foundations for promoting VOCs pollution control and formulating effective control measures throughout the entire process from raw materials to finished products.

[0004] Since source control measures such as raw material substitution and technological upgrading cannot completely control VOC emissions, and are constrained to some extent by the economic and technological conditions of the enterprises themselves, effective end-of-pipe treatment technologies are necessary to achieve comprehensive treatment of VOC emissions at both the source and in the exhaust gas. Currently, the main models for predicting pollutant emission reduction potential include the LEAP model, the AIM / Enduse model, and the LEAPChina model. Models such as the ChinaGEM model are mainly based on assumptions about energy and industrial structure development to conduct emission reduction assessments. They are rarely used to assess the emission reduction potential of industrial production processes, and their prediction accuracy and applicability are both insufficient. Summary of the Invention

[0005] To address the shortcomings in this field, the purpose of this invention is to establish a method for predicting VOCs emission reduction potential based on end-of-pipe control levels, starting from the quantitative requirements and technological feasibility of VOCs emission reduction for industrial enterprises under the goal of continuously improving ambient air quality. Based on quantitative analysis of VOCs concentrations, the annual VOCs emissions of enterprises are estimated, and an emission factor library based on VOCs components is established. Based on the VOCs component concentrations before and after flue gas treatment, the actual treatment efficiency of different end-of-pipe treatment technologies for VOCs is evaluated. Based on current domestic VOCs treatment technology guidelines, by comparing the emission reduction of current enterprise technologies with those of adopting all best-practice technologies compared to direct emissions, and estimating the emission reduction achievable when the industry adopts best-practice technologies, the VOCs emission reduction potential is predicted, providing a reference for end-of-pipe treatment and control of VOCs emissions from industrial enterprises.

[0006] A method for predicting VOCs emission reduction potential based on end-of-pipe control levels includes:

[0007] (1) Calculate the annual VOC emissions of the enterprise based on the VOC emission concentration, combined with the enterprise's exhaust stack parameters and equipment operating time. The specific calculation formula is as follows:

[0008]

[0009] In the formula, E i For the annual VOCs emissions of enterprises, C i，j，k The concentration of VOC components in each exhaust stack of the enterprise, V i，j For the air volume of each exhaust stack of the enterprise, T i The production and operation time of the enterprise's equipment is represented by i, j, and k, which represent the enterprise, the exhaust stack, and the various components of VOCs, respectively.

[0010] (2) Based on the calculations in (1), and combined with data on actual enterprise activity levels, an emission factor library based on VOCs components is established, aiming to provide data support for the subsequent calculation of emissions from related industry components. Main calculation formulas:

[0011]

[0012] In the formula, EF i，k E represents the emission factors of each component of VOCs in a company. i，k For the emissions of each component of VOCs from enterprises, A i The activity level is represented by i and k, which represent the enterprise and each component of VOCs, respectively.

[0013] (3) For enterprises with pre-treatment exhaust gas inlet sampling ports, samples are collected both before and after flue gas treatment. The treatment efficiency is calculated based on the concentration quantitative analysis results, and the overall VOCs removal efficiency of different technologies is evaluated. The main calculation formula is as follows:

[0014]

[0015] In the formula, η p For the removal efficiency of VOCs treatment technology in enterprises, C in C out These are the VOCs concentrations before and after flue gas treatment;

[0016] (4) Based on the VOCs removal level of the enterprise's existing technology and the achievable treatment efficiency of the VOCs treatment technology recommended in the VOCs treatment technology guidelines obtained in step (3), set up different VOCs emission reduction scenarios and evaluate the VOCs emission reduction potential of different enterprises. The main calculation formula is as follows:

[0017] E i，n，r =E i ×(η n，s -η p )

[0018] In the formula, E i，n，r For enterprises' annual VOCs emission reduction under different emission reduction scenarios, E i η represents the company's annual VOC emissions. n，s η represents the removal efficiency of VOCs treatment technologies under different emission reduction scenarios. p The VOCs removal efficiency of the enterprise's VOCs treatment technology is represented by i, where i represents the enterprise and n represents different emission reduction scenarios.

[0019] (5) Based on the emission factors obtained in (2), calculate the overall VOCs emissions of the relevant industries, set emission reduction scenarios in conjunction with the technical guidelines, and assess the overall emission reduction potential of the industries under applicable technologies. The main calculation formula is as follows:

[0020]

[0021] In the formula, E m，n，r For the annual VOCs emission reduction under different emission reduction scenarios for the entire industry, EF i，k A represents the emission factors of each component of VOCs in a company. i For the level of firm activities, η n，s η represents the removal efficiency of VOCs treatment technologies under different emission reduction scenarios. p Let i represent the removal efficiency of the enterprise's VOCs treatment technology, i and k represent the enterprise and each component of VOCs, respectively, m represents the number of enterprises in the industry, and n represents different emission reduction scenarios.

[0022] In step (1), the VOCs emission concentration is the VOCs concentration of the enterprise's exhaust stack. When there are many exhaust stacks, they need to be calculated one by one.

[0023] In step (2), preferably, the enterprise activity level indicators can be determined as product output and solvent consumption based on the nature of the enterprise.

[0024] In step (3), preferably, the Summa tank sampling-preconcentration-GC-MS method is used to quantitatively analyze the VOCs concentration.

[0025] In step (3), the VOCs concentration is the sum of the concentrations of all measured components.

[0026] In step (4), preferably, the VOCs treatment technology guidelines are technical guidelines for specific industries in different regions.

[0027] The emission reduction scenarios include Scenario A: No end-of-pipe treatment technology is adopted; Scenario B: Current technology is maintained; and Scenario C: Industry-applicable VOCs technologies recommended in the guidelines are adopted and the required efficiency is achieved.

[0028] In step (5), when calculating the overall VOCs emissions of related industries, for pharmaceutical manufacturing, pesticide production, dye production and coating production industries that use VOCs-containing products as raw materials, it is preferable to use product output to characterize the activity level; for the automotive painting industry that uses VOCs-containing products, it is preferable to use the amount of coating used to characterize the industry activity level. The data mainly comes from the statistical database of China Business Intelligence Network.

[0029] The beneficial effects of this invention are:

[0030] This invention provides a method for predicting VOCs emission reduction potential based on end-of-pipe control. Based on the quantitative requirements and technical feasibility of VOCs emission reduction in industrial enterprises, and combined with VOCs emission factors and treatment technology guidelines, it designs reasonable and feasible emission reduction scenarios, assesses the VOCs emission reduction potential of different industries and enterprises, provides data support for end-of-pipe treatment and control of VOCs emission reduction in industrial enterprises, and achieves the goal of continuously improving ambient air quality. Attached Figure Description

[0031] Figure 1 This is a schematic diagram of the VOCs emission reduction potential prediction process based on end-of-pipe control level according to the present invention. Detailed Implementation

[0032] The technical solution of the present invention will be further described in detail below through specific embodiments and in conjunction with the accompanying drawings. It should be understood that the implementation of the present invention is not limited to the following embodiments, and any modifications and / or alterations made to the present invention will fall within the protection scope of the present invention.

[0033] In this invention, unless otherwise specified, all parts and percentages are by weight, and the equipment and raw materials used are commercially available or commonly used in the art. Unless otherwise specified, the methods in the following embodiments are conventional methods in the art. Unless otherwise specified, the components or equipment in the following embodiments are general standard parts or components known to those skilled in the art, and their structures and principles can be learned by those skilled in the art through technical manuals or conventional experimental methods.

[0034] Example:

[0035] A method for predicting VOCs emission reduction potential based on end-of-pipe control levels includes the following steps:

[0036] (1) Calculate the annual VOC emissions of the enterprise based on the VOC emission concentration, combined with the enterprise's exhaust stack parameters and equipment operating time. The specific calculation formula is as follows:

[0037]

[0038] In the formula, E i For the annual VOCs emissions of enterprises, C i，j，k The concentration of VOC components in each exhaust stack of the enterprise, V i，j For the air volume of each exhaust stack of the enterprise, T i The production and operation time of the enterprise's equipment is represented by i, j, and k, which represent the enterprise, the exhaust stack, and the various components of VOCs, respectively.

[0039] (2) Based on the calculation in step (1), and combined with the actual activity level data of enterprises, an emission factor library based on VOCs components is established. The main calculation formula is as follows:

[0040]

[0041] In the formula, EF i，k E represents the emission factors of each component of VOCs in a company. i，k For the emissions of each component of VOCs from enterprises, A i The activity level is represented by i and k, which represent the enterprise and each component of VOCs, respectively.

[0042] (3) For enterprises with pre-treatment exhaust gas inlet sampling ports, samples are collected both before and after flue gas treatment. The treatment efficiency is calculated based on the concentration quantitative analysis results, and the overall VOCs removal efficiency of different technologies is evaluated. The main calculation formula is as follows:

[0043]

[0044] In the formula, η p For the removal efficiency of VOCs treatment technology in enterprises, C in C outThese are the VOCs concentrations before and after flue gas treatment;

[0045] (4) Based on the VOCs removal level of the enterprise's existing technology and the achievable treatment efficiency of the VOCs treatment technology recommended in the VOCs treatment technology guidelines obtained in step (3), set up different VOCs emission reduction scenarios and evaluate the VOCs emission reduction potential of different enterprises. The main calculation formula is as follows:

[0046] E i，n，r =E i ×(η n，s -η p )

[0047] In the formula, E i，n，r For enterprises' annual VOCs emission reduction under different emission reduction scenarios, E i η represents the company's annual VOC emissions. n，s η represents the removal efficiency of VOCs treatment technologies under different emission reduction scenarios. p The VOCs removal efficiency of the enterprise's VOCs treatment technology is represented by i, where i represents the enterprise and n represents different emission reduction scenarios.

[0048] (5) Based on the emission factors obtained in (2), calculate the overall VOCs emissions of the relevant industries, set emission reduction scenarios in conjunction with the technical guidelines, and assess the overall emission reduction potential of the industries under applicable technologies. The main calculation formula is as follows:

[0049]

[0050] In the formula, E m，n，r For the annual VOCs emission reduction under different emission reduction scenarios for the entire industry, EF i，k A represents the emission factors of each component of VOCs in a company. i For the level of firm activities, η n，s η represents the removal efficiency of VOCs treatment technologies under different emission reduction scenarios. p Let i represent the removal efficiency of the enterprise's VOCs treatment technology, i and k represent the enterprise and each component of VOCs, respectively, m represents the number of enterprises in the industry, and n represents different emission reduction scenarios.

[0051] The flowchart of the method of the present invention is shown below. Figure 1As shown. Following the steps of the above method, the VOCs emission concentration of a pharmaceutical company was sampled and analyzed. Combined with the exhaust stack airflow and equipment operating time, the company's annual VOCs emissions were calculated to be 14.2 t. Based on product output data, the emission factors of each VOCs component were calculated (toluene 399.1 g / t, dichloromethane 1828.1 g / t, chloroethane 29.5 g / t, n-hexane 11.5 g / t, etc.). The end-of-pipe treatment technology used by the company is a regenerative thermal oxidizer (RTO). The RTO (Remotely Operated Oxidizer) was used to collect and analyze VOCs concentrations before and after flue gas treatment. The calculated treatment efficiency of the company's RTO was 73.2%. Based on the VOCs removal level of existing technologies and the achievable treatment efficiency of technologies recommended in the VOCs treatment technology guidelines, different emission reduction scenarios were set: A. No end-of-pipe treatment technology (direct discharge, efficiency 0%), B. Maintaining the current technology (RTO, 73.2%), C. Adopting the industry-applicable VOCs technology recommended in the guidelines and achieving the required efficiency (RTO, 99%). The total VOCs emission reduction that the company can achieve under the current technology was calculated to be 38.9 tons. Using the calculated emission factors, the estimated total domestic VOCs emissions of the pharmaceutical industry were approximately 406,000 tons. When industry-applicable technologies were adopted, the industry emissions were 4,000 tons, achieving an emission reduction of 402,000 tons.

[0052] The embodiments described above are merely preferred embodiments of the present invention and are not intended to limit the present invention in any way. Other variations and modifications are possible without departing from the technical solutions described in the claims.

Claims

1. A method for predicting VOCs emission reduction potential based on end-of-pipe control levels, comprising: (1) Calculate the annual VOC emissions of the enterprise based on the VOC emission concentration, combined with the enterprise's exhaust stack parameters and equipment operating time. The specific calculation formula is as follows: In the formula, E i For the annual VOCs emissions of enterprises, C i,j,k The concentration of VOC components in each exhaust stack of the enterprise, V i,j For the air volume of each exhaust stack of the enterprise, T i The production and operation time of the enterprise's equipment is represented by i, j, and k, which represent the enterprise, the exhaust stack, and the various components of VOCs, respectively. (2) Based on the calculation in (1), and combined with the actual activity level data of enterprises, an emission factor library based on VOCs components is established, aiming to provide data support for the subsequent calculation of emissions of related industry components. The main calculation formula is as follows: In the formula, EF i,k E represents the emission factors of each component of VOCs in a company. i,k For the emissions of each component of VOCs from enterprises, A i The activity level is represented by i and k, which represent the enterprise and each component of VOCs, respectively. (3) For enterprises with pre-treatment exhaust gas inlet sampling ports, samples are collected both before and after flue gas treatment. The treatment efficiency is calculated based on the concentration quantitative analysis results, and the overall VOCs removal efficiency of different technologies is evaluated. The main calculation formula is as follows: In the formula, η p For the removal efficiency of VOCs treatment technology in enterprises, C in C out These are the VOCs concentrations before and after flue gas treatment; (4) Based on the VOCs removal level of the enterprise's existing technology and the achievable treatment efficiency of the VOCs treatment technology recommended in the VOCs treatment technology guidelines obtained in step (3), set up different VOCs emission reduction scenarios and evaluate the VOCs emission reduction potential of different enterprises. The main calculation formula is as follows: E i,n,r =E i ×(the n,s -or p ) In the formula, E i,n,r For enterprises' annual VOCs emission reduction under different emission reduction scenarios, E i η represents the company's annual VOC emissions. n,s η represents the removal efficiency of VOCs treatment technologies under different emission reduction scenarios. p The VOCs removal efficiency of the enterprise's VOCs treatment technology is represented by i, where i represents the enterprise and n represents different emission reduction scenarios. (5) Based on the emission factors obtained in (2), calculate the overall VOCs emissions of the relevant industries, set emission reduction scenarios in conjunction with the technical guidelines, and assess the overall emission reduction potential of the industries under applicable technologies. The main calculation formula is as follows: In the formula, E m,n,r For the annual VOCs emission reduction under different emission reduction scenarios for the entire industry, EF i,k A represents the emission factors of each component of VOCs in a company. i For the level of firm activities, η n,s η represents the removal efficiency of VOCs treatment technologies under different emission reduction scenarios. p Let i represent the removal efficiency of the enterprise's VOCs treatment technology, i and k represent the enterprise and each component of VOCs, respectively, m represents the number of enterprises in the industry, and n represents different emission reduction scenarios.

2. The VOCs emission reduction potential prediction method based on end-of-pipe control level according to claim 1, characterized in that, The VOCs emission concentration mentioned in step (1) is the total VOCs concentration in the enterprise's exhaust stack.

3. The VOCs emission reduction potential prediction method based on end-of-pipe control level according to claim 1, characterized in that, The enterprise activity level indicators mentioned in step (2) are determined as product output and solvent consumption based on the nature of the enterprise.

4. The VOCs emission reduction potential prediction method based on end-of-pipe control level according to claim 1, characterized in that, The quantitative analysis method for VOCs concentration in step (3) is the Summa tank sampling-preconcentration-GC-MS method; the VOCs concentration is the sum of the concentrations of all measured components.

5. The VOCs emission reduction potential prediction method based on end-of-pipe control level according to claim 1, characterized in that, The VOCs treatment technology guidelines mentioned in step (4) are technical guidelines for specific industries in different regions; the emission reduction scenarios include scenario A: not using end-of-pipe treatment technology, scenario B: maintaining the current technology, and scenario C: using the industry-applicable VOCs technology recommended by the guidelines and achieving the required efficiency.

6. The VOCs emission reduction potential prediction method based on end-of-pipe control level according to claim 1, characterized in that, When calculating the overall VOCs emissions of related industries in step (5), for pharmaceutical manufacturing, pesticide production, dye production and paint production industries that use VOCs-containing products as raw materials, the activity level is represented by product output. For the automotive painting industry containing VOCs products, the level of industry activity is characterized by the amount of paint used, and the data mainly comes from the statistical database of China Business Intelligence Network.

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