Energy recovery efficiency calculation system

Abstract

The present invention relates to an energy recovery efficiency calculation system, which analyzes physical and chemical characteristics of waste to determine a suitable treatment method, and calculates energy recovery efficiency on the basis of data generated in a treatment process. According to the present invention, the system comprises: a waste classification unit which performs a function of classifying the type of waste into household waste or industrial waste; a treatment method determination unit which selects a general / high-temperature method, a pyrolysis / high-temperature melting method, or an integrated or separate method on the basis of a heating value (LHV) and a physical state of the waste; a calculation method selection unit which is configured to perform calculation through a detailed calculator or a simplified calculator set according to the amount of the waste and treatment complexity; a data collection unit which measures a weight, heating value, and treatment speed of the waste according to treatment conditions on the basis of temperature or pressure, and collects calculation data; and a recovery efficiency calculation unit which calculates energy recovery efficiency for each treatment method on the basis of the collected data and reflects on-site factors to calculate a final result. Thus, the system has the effect of improving efficiency of waste treatment by automatically selecting a suitable treatment method according to the type and characteristics of the waste.

Description

Energy recovery efficiency calculation system

[0001] The present invention relates to an energy recovery efficiency calculation system, and more specifically, to an energy recovery efficiency calculation system that analyzes the physical and chemical characteristics of waste to determine a suitable treatment method and calculates energy recovery efficiency based on data generated during the treatment process.

[0002] Existing waste treatment systems often determined treatment methods without sufficiently analyzing the physical and chemical characteristics of the waste.

[0003] Consequently, there was a problem with significant energy loss during the processing and inability to efficiently recover energy.

[0004] Furthermore, there were frequent instances where appropriate treatment methods were not applied according to the type of waste, leading to resource waste and environmental pollution.

[0005] For example, there have been cases where the resource recycling rate was low due to the processing of high-caloric waste through simple combustion or the failure to properly separate recyclable waste.

[0006] To address these issues, there is a need to propose appropriate treatment methods and efficient energy recovery methods based on the types and characteristics of waste.

[0007] [Prior Art Literature]

[0008] [Patent Literature]

[0009] Patent Document 1. Republic of Korea Publication No. 2020-0019284 (February 24, 2020)

[0010] The present invention is designed to solve the aforementioned problem and aims to provide an energy recovery efficiency calculation system that distinguishes between household waste and industrial waste by precisely analyzing the types and characteristics of waste, and automatically determines the optimal treatment method suitable for each characteristic.

[0011] The present invention relates to an energy recovery efficiency calculation system comprising: a waste classification unit (100) that performs the function of classifying waste into types such as household waste or industrial waste; a treatment method determination unit (200) that selects a general / high temperature method, a pyrolysis / high temperature melting method, an integrated type, or a separated type based on the calorific value (LHV) and physical state of the waste; a calculation method selection unit (300) that sets a detailed calculator or a simplified calculator to perform calculations according to the amount of waste and the complexity of treatment; a data collection unit (400) that collects calculation data by measuring the weight, calorific value, and treatment speed of the waste according to treatment conditions based on temperature or pressure; and a recovery efficiency calculation unit (500) that calculates the energy recovery efficiency for each treatment method based on the collected data and calculates the final result by reflecting on-site factors.

[0012] It further includes a result output unit (600) that outputs the energy recovery efficiency result calculated through the recovery efficiency calculation unit.

[0013] The treatment method determination unit selects a general / high-temperature method or a pyrolysis / high-temperature melting method when the waste is household waste, and selects an integrated or separated method when the waste is industrial waste.

[0014] The recovery efficiency calculation unit calculates the final efficiency by applying a correction factor that reflects field factors (temperature, humidity, process environment).

[0015] A method using an energy recovery efficiency calculation system comprises: (a) a step in which the energy recovery efficiency calculation system classifies waste into household waste or industrial waste according to the physical and chemical characteristics of the waste; (b) a step in which the energy recovery efficiency calculation system selects a general / high-temperature method or a pyrolysis / high-temperature melting method if the waste is household waste, and selects an integrated or separated method if the waste is industrial waste; (c) a step in which the energy recovery efficiency calculation system is configured to perform calculations using a detailed calculator or a simplified calculator set according to the amount of waste and processing complexity; (d) a step in which the energy recovery efficiency calculation system measures the weight, calorific value, processing speed, and processing conditions of the waste to collect data; and (e) a step in which the energy recovery efficiency calculation system calculates the energy recovery efficiency for each processing method based on the collected data and calculates the final result by reflecting on-site factors.

[0016] The above energy recovery efficiency calculation system further includes the step of providing the energy recovery efficiency result calculated in step (e) to a user terminal.

[0017] According to the present invention, the efficiency of waste treatment is improved by automatically selecting a suitable treatment method according to the type and characteristics of the waste, and data generated during the treatment process is collected in real time and accurate energy recovery efficiency can be calculated based on this.

[0018] FIG. 1 is a configuration diagram of an energy recovery efficiency calculation system according to one embodiment of the present invention.

[0019] FIG. 2 is an overall flowchart of a method using an energy recovery efficiency calculation system according to one embodiment of the present invention.

[0020] FIG. 3 is a diagram illustrating the overall processing flow of an energy recovery efficiency calculation system according to one embodiment of the present invention.

[0021] Figure 4 shows the calculator calculation factors of an energy recovery efficiency calculation system according to one embodiment of the present invention.

[0022] Figures 5 to 7 show the general / high temperature calculator calculation factors for household waste among the calculator calculation factors of Figure 4, and Figures 8 to 11 show the pyrolysis / high temperature melting calculator calculation factors for household waste among the calculator calculation factors of Figure 4.

[0023] FIGS. 12 to 17 show the integrated calculator calculation factors for industrial waste among the calculator calculation factors of FIG. 4, and FIGS. 18 to 23 show the separated calculator calculation factors for industrial waste among the calculator calculation factors of FIG. 4.

[0024] The present invention relates to a system for effectively calculating energy recovery efficiency and improving the efficiency of waste treatment. The present invention includes components that perform waste classification, determination of a treatment method, selection of a calculation method, data collection, calculation of energy recovery efficiency, and output of results in a stepwise manner.

[0025] Hereinafter, an energy recovery efficiency calculation system according to an embodiment of the present invention will be described in detail with reference to the attached drawings.

[0026] FIG. 1 is a configuration diagram of an energy recovery efficiency calculation system according to one embodiment of the present invention.

[0027] As illustrated in FIG. 1, the energy recovery efficiency calculation system includes a waste classification unit (100), a treatment method determination unit (200), a calculation method selection unit (300), a data collection unit (400), a recovery efficiency calculation unit (500), and a result output unit (600).

[0028] The waste classification unit (100) performs the function of automatically classifying waste into household waste and industrial waste by analyzing the physical and chemical characteristics of the waste. Key data such as the composition, size, density, and calorific value (LHV) of the waste are input, and the classification accuracy is improved through optical sensors and analysis algorithms. This is intended to effectively distinguish between combustible materials in household waste and recyclable materials in industrial waste.

[0029] This waste sorting unit can improve sorting accuracy by identifying the physical characteristics of waste through optical sensors.

[0030] In waste analysis using an optical sensor, the waste classification unit (100) scans the surface characteristics of the waste using a camera equipped with an optical sensor as the waste passes through a processing line. For example, it detects the color, reflectance, and texture of the waste surface to distinguish between combustible materials (e.g., plastic, paper) and metallic materials (e.g., aluminum, iron). Waste with a bright color and high reflectance is classified as plastic, while waste with a dark color or strong gloss is classified as metallic waste.

[0031] Based on data collected from optical sensors, an analysis algorithm calculates the density, size, and calorific value (LHV) of the waste. Using pre-trained data, the analysis algorithm automatically classifies the waste into household waste and industrial waste. For example, the calorific value (LHV) of plastic waste is measured to be 6,000–8,000 kcal / kg, and the analysis algorithm classifies it as household waste. On the other hand, metal fragments are classified as industrial waste because they have a high density and a low calorific value.

[0032] Optical sensors detect foreign substances (e.g., soil, moisture) adhering to the surface of waste to correct data errors. For instance, since high-moisture waste can result in lower calorific value measurements, the analysis algorithm compensates for this to enable accurate classification. Additionally, the algorithm learns the shape of the waste (e.g., flat plastic vs. round can) to provide further classification accuracy.

[0033] For example, when a single piece of waste is scanned on a waste sorting line, an optical sensor detects that it is a glossy, high-density piece of metal. An analysis algorithm analyzes the density and calorific value data of the metal piece to automatically classify it as industrial waste. Conversely, lightweight, high-calorific waste (e.g., plastic) is classified as household waste.

[0034] For reference, the waste classification unit classifies waste by analyzing its composition (e.g., combustibility, non-combustibility), size, density, etc., in relation to the type of waste, and user-defined criteria may be set for classification based on the composition analysis data and site conditions.

[0035] The treatment method determining unit (200) selects an appropriate treatment method according to the characteristics of the classified waste and the purpose of treatment. This treatment method determining unit (200) selects a general / high temperature method, a pyrolysis / high temperature melting method, an integrated type, or a separated type based on the calorific value (LHV) and physical state of the waste.

[0036] For municipal solid waste, a general / high-temperature method or a pyrolysis / high-temperature melting method is selected, which is determined based on the calorific value and physical state of the waste.

[0037] For industrial waste, select either the integrated method (processing all at once) or the separate method (processing recyclable materials and residues separately).

[0038] This configuration is intended to optimize the economics and efficiency of waste treatment.

[0039] In addition, the processing method determining unit according to the present embodiment may further include a user interface (not shown) that allows the user to input a processing method that is preferred by the user.

[0040] For reference, the processing method determination unit

[0041]

[0042] As such, a treatment method is selected based on input data (waste calorific value, physical state). Q_input is the total input calorific value of the waste, which is calorific value data measured before treatment, and Q_loss is the calorific value released or unused during treatment.

[0043] In determining the treatment method, H represents the treatment efficiency and is used to measure the energy recoverable during the waste treatment process. Expressed as a percentage, it signifies the ratio of energy utilized without loss to the energy input during the treatment process.

[0044] Regarding the criteria for selecting a treatment method, a highly efficient method (one with a high H value) is chosen as the optimal method because it offers a high energy recovery rate. Conversely, methods with low H values ​​are inefficient, so alternative methods may be considered.

[0045] By applying the H calculation formula to a specific processing method, process conditions such as temperature, pressure, and the calorific value of the waste can be optimized. For example, if the H value is low, one can choose to adjust the processing temperature or increase the oxygen supply in the combustion process to reduce Q_loss.

[0046] This H calculation formula helps reduce resource waste in the waste treatment process. Since inefficient methods fail to effectively recover energy, the process can be improved by increasing the H value.

[0047] For example, depending on the pyrolysis method, a pyrolysis method with an energy recovery efficiency of 90% is selected as a suitable treatment method.

[0048] (Pyrolysis method)

[0049]

[0050] In addition, as the energy recovery performance is lower than that of the pyrolysis method with an efficiency of 70% due to the high-temperature combustion method, an alternative method must be considered.

[0051] (High-temperature combustion method)

[0052]

[0053] The calculation method selection unit (300) allows the user to select a detailed calculator or a simplified calculator to calculate the energy recovery efficiency through a detailed calculator or a simplified calculator according to the processing method selected by the user.

[0054] The detailed calculator

[0055]

[0056] Thus, precise calculations are performed including detailed data such as the composition of the waste, temperature, pressure, and processing speed. In other words, the detailed calculator is designed to calculate more precisely by considering additional environmental variables, including temperature and pressure.

[0057] The simple calculator

[0058]

[0059] As such, LHV is the lower heating value (kcal / kg), the heat energy per unit mass of waste, and a simple calculation is performed using the lower heating value (LHV) and the basic characteristics of the waste.

[0060] This configuration allows for the calculation method to be flexibly adjusted according to the complexity of the processing and data availability.

[0061] For reference, the system automatically selects either a detailed calculator or a simplified calculator based on the amount of waste and processing complexity. The criteria for selection—waste amount and processing complexity—are explained with examples as follows.

[0062] Regarding the criteria for selecting a calculator based on the amount of waste, a detailed calculator is selected when the amount of waste is large, as factors such as heat loss, processing time, and input energy during the treatment process play a more significant role. For example, when more than 10 tons of waste are input, it is necessary to calculate the process while considering even minute energy losses during treatment. Therefore, a detailed calculator is used to precisely reflect temperature, pressure, and heat loss data.

[0063] On the other hand, when the amount of waste is small, a simple calculator is selected because a relatively simple calculation is possible. For example, when a small amount of waste of 500 kg or less is input, the efficiency is simply calculated based on the heat of the waste (LHV) and basic processing data.

[0064] Regarding the criteria for selecting a calculator based on processing complexity, a detailed calculator should be selected when processing complexity is high (e.g., inclusion of complex components, separation of recyclable materials, etc.). For instance, in cases involving a mixture of metals, plastics, and hazardous materials, such as electronic waste (industrial waste), the pyrolysis characteristics of each component, processing time, and recyclability must all be considered. In such cases, a detailed calculator enables precise calculations.

[0065] Select a simplified calculator when processing complexity is low (e.g., simple combustible, composed of a single component). For instance, for waste with a high calorific value and simple combustion, such as plastic household waste, the simplified calculator can be used to calculate efficiency based solely on the calorific value and input amount.

[0066] In other words, when 15 tons of electronic waste are processed, data such as input heat, gas generation, and processing temperature are precisely calculated using a detailed calculator because the amount of waste is large and contains complex components. Additionally, when 300 kg of plastic waste is processed, efficiency is simply calculated using a simplified calculator based only on the calorific value and waste weight because the amount of waste is small and the processing complexity is low.

[0067] The volume of waste and the complexity of processing are important criteria for selecting a calculator. Detailed calculators are used for high-volume processing and complex processes requiring precision, while simplified calculators are suitable for simple, small-scale waste processing. This allows the system to achieve both efficiency and accuracy simultaneously.

[0068] The data collection unit (400) collects data generated during the waste treatment process in real time.

[0069] The data collection unit includes temperature sensors, pressure sensors, and flow meters to collect real-time data during the waste treatment process. Additionally, the data collection unit transmits the measured data to a central server and may use a cloud-based data storage for recording.

[0070] Key data include the weight of the waste, heat content, processing temperature, pressure, and processing speed.

[0071] Measurement devices such as temperature sensors, pressure gauges, and flow meters are utilized, and all data is transmitted to and recorded on a central server.

[0072] This is intended to ensure data reliability and provide the information necessary for calculating energy recovery efficiency.

[0073] The recovery efficiency calculation unit (500) calculates the energy recovery efficiency for each processing method based on the collected data.

[0074] The energy recovery efficiency calculation module includes formulas for calculating efficiency by processing method based on collected data, and calculates the final efficiency by applying correction factors that reflect field factors (temperature, humidity, process environment).

[0075] Efficiency calculation is performed based on the following formula.

[0076]

[0077] Here, E_recovered is the recovered energy (kcal), and E_input is the total energy input for waste treatment (kcal).

[0078] Correction factors are applied based on environmental factors (temperature, humidity, etc.), and the final efficiency is calculated by reflecting field conditions.

[0079] This configuration is intended to evaluate the actual energy recovery performance of the processing process.

[0080] The result output unit (600) provides the calculated energy recovery efficiency data to the user.

[0081] The output results are visualized in the form of graphs, charts, and reports, and are provided through the user interface.

[0082] It also includes a function to transmit result data over a network so that it can be submitted to certification authorities or used for analysis purposes.

[0083] This configuration is intended to enhance user convenience and data utilization.

[0084] The present invention maximizes the efficiency of waste treatment through the organic combination of each of the above components and significantly contributes to improving resource management and energy recovery efficiency.

[0085] FIG. 2 is an overall flowchart of a method using an energy recovery efficiency calculation system according to one embodiment of the present invention.

[0086] Next, the operation according to the present embodiment is described as follows.

[0087] In the waste classification step (a), the energy recovery efficiency calculation system (hereinafter referred to as the 'system') classifies the types of waste input through the waste classification unit (100) into household waste and industrial waste.

[0088] Household waste refers to waste generated from households, primarily consisting of plastics and food waste. Industrial waste refers to waste generated during industrial processes, including metal scrap and electronic waste.

[0089] Next, the system selects a suitable treatment method based on key data such as the calorific value (LHV), physical state, and chemical composition of the waste through the treatment method determination unit (200) (b).

[0090] For household waste, general or high-temperature treatment methods are selected for waste with high calorific value (e.g., plastics). Pyrolysis or high-temperature melting methods are selected for waste that is moist or contains organic matter (e.g., food waste).

[0091] In the case of industrial waste, an integrated treatment method is selected for waste composed of a single component (e.g., metal scrap). A separate treatment method is selected for waste with multiple components (e.g., electronic waste).

[0092] Next, in step (c), the system is configured to perform calculations using a detailed calculator or a simplified calculator set according to the amount of waste and processing complexity.

[0093] Here, the calculation method selection unit (300) selects a suitable calculator according to the amount of waste, processing complexity, and required accuracy.

[0094] When complex processes are required or precise calculations are necessary, a detailed calculator is used to perform calculations including detailed data such as temperature, pressure, and reaction time.

[0095] For simple processing, the calculation is performed simply using a simple calculator that utilizes only the weight and calorific value (LHV) of the waste.

[0096] Next, in step (d), the system collects data by measuring the weight, heat content, processing speed, and processing conditions of the waste through the data collection unit (400).

[0097] Here, the data collection unit (400) measures the weight, calorific value, processing speed, temperature, and pressure data of the waste in real time during the processing process. The collected data is transmitted to a central server and used as calculation data. Through this, the system can reflect changes in waste processing conditions in real time.

[0098] Next, in step (e), the system calculates the energy recovery efficiency for each processing method through the recovery efficiency calculation unit (500) based on the collected data, and calculates the final result by reflecting field factors.

[0099] The recovery efficiency calculation unit (500) calculates the energy recovery efficiency for each processing method based on data provided by the data collection unit. The efficiency calculation is a formula

[0100]

[0101] It is performed based on [this], and the final efficiency is calculated by applying a correction factor that reflects field factors (temperature, humidity, process environment).

[0102] And in step (f), the system provides the user with the calculated energy recovery efficiency result through the result output unit (600).

[0103] The output results are visually displayed as graphs, charts, or numerical data through the user terminal. This data can be utilized for the optimization of waste treatment and the assessment of compliance with environmental regulations.

[0104] FIG. 3 is a diagram illustrating the overall processing flow of an energy recovery efficiency calculation system according to one embodiment of the present invention.

[0105] Figure 3 visually illustrates the process by which an energy recovery efficiency calculation system calculates efficiency by sequentially selecting the type of waste, treatment method, and calculation method. The system operates primarily based on a detailed calculator and a simplified calculator, and at each stage, selection and calculation are performed according to the characteristics of the waste and the purpose of treatment.

[0106] The energy recovery efficiency calculation system classifies waste into household waste and industrial waste. Waste classification is based on the physical characteristics of the waste (calorific value, moisture content, and composition).

[0107] In determining the treatment method, the energy recovery efficiency calculation system selects general / high-temperature treatment methods for municipal solid waste when the calorific value is high or the amount of combustible materials is high. Additionally, pyrolysis / high-temperature melting methods are selected when the organic matter content is high or the moisture content is high.

[0108] In the case of industrial waste, an integrated processing method is selected if it consists of a single component (e.g., metal scrap). A separated processing method is selected if it consists of multiple components (e.g., electronic waste).

[0109] The energy recovery efficiency calculation system according to the present embodiment selects a detailed calculator or a simplified calculator depending on the amount of waste and processing complexity when selecting a calculation method.

[0110] The detailed calculator performs precise calculations that include additional data such as temperature, pressure, and processing speed. The simple calculator performs simple calculations by considering only the weight and calorific value (LHV) of the waste.

[0111] In addition, the energy recovery efficiency calculation system measures data generated during the processing process in real time. The collected data includes the weight of the waste, calorific value (LHV), processing temperature, and processing speed, and is used as basic data for efficiency calculations.

[0112] The process by which the calculated efficiency value is optimized through correction factors by reflecting field factors is explained with an example as follows.

[0113] If Q_input (heat input) in a waste treatment process is measured as 5,000 kcal and Q_loss (heat loss) as 500 kcal, the energy recovery efficiency H is,

[0114]

[0115] Assuming the environmental conditions of the process are as follows: Temperature: 25℃ (lower than standard conditions), Humidity: 70% (higher than standard conditions), Process environment: The heat loss rate of the equipment is higher than average.

[0116] Since these field factors can affect efficiency, the calculated values ​​are adjusted by applying correction factors.

[0117] Temperature Correction Factor: 0.98 (Reflects reduction in thermal efficiency at 25℃). Humidity Correction Factor: 0.96 (Reflects reduction in combustion efficiency due to high humidity). Process Environment Factor: 0.95 (Reflects increase in equipment heat loss rate).

[0118] The correction factor is calculated as follows.

[0119]

[0120] The optimized efficiency value is calculated by applying a correction factor to the initial calculated efficiency value (90%).

[0121]

[0122] In this way, the calculated initial efficiency value (90%) is derived as an optimized value (80.28%) corrected by reflecting on-site factors (temperature, humidity, process environment). This allows for the derivation of more reliable energy recovery efficiency results that consider actual processing conditions. This process enhances the realism of efficiency calculations and can suggest directions for improving the processing process.

[0123] FIG. 4 shows the calculator calculation factors of an energy recovery efficiency calculation system according to one embodiment of the present invention. The calculator calculation factors refer to the main input data and calculation elements used to calculate efficiency in a waste treatment process. This is intended to efficiently recover energy and derive reliable results depending on the treatment conditions and waste characteristics.

[0124] Figure 4 also presents calculation items that are commonly applied in each calculator for general / high temperature, pyrolysis / high temperature melting of municipal waste, and integrated and separated types of industrial waste, and Ew(NCV), Ef, Ei, and Ep are respectively Ew(NCV): effective input heat based on the lower heating value (Net Calorific Value) of the waste, Ef: effective energy (electricity and heat) actually recovered in the process, Ei: total energy input to process operation (including preheating, auxiliary fuel, and driving power), and Ep: parasitic energy due to equipment operation and losses.

[0125] Figures 5 to 7 show the general / high temperature calculator calculation factors for household waste among the calculator calculation factors of Figure 4, and Figures 8 to 11 show the pyrolysis / high temperature melting calculator calculation factors for household waste among the calculator calculation factors of Figure 4.

[0126] Figure 5 is a diagram showing the calculation factors of a calculator used in the general / high-temperature treatment method for municipal solid waste. The common measured data (Measured Data) of the general / high-temperature treatment method includes the waste input amount for Unit 1 (as many as the number of units), the steam production flow rate for Unit 1 (as many as the number of units), and the steam production flow rates of other boilers from the first to the third stage.

[0127] In addition, Field Factors include correction coefficients that reflect the process environment, such as total waste input, waste input for the target unit, waste input for other units, total production steam flow rate (including other boilers), production steam flow rate for the target unit, and production steam flow rate for other units. In particular, Ew(NCV) is an item for effective input energy calculated from the lower heating value (NCV) of waste and input mass, and the measured data is the amount of waste input for the target unit, the production steam flow rate, the production steam temperature and pressure, the waste heat boiler feedwater temperature, the primary incinerator auxiliary fuel flow rate (up to 4th), and the waste heat boiler outlet temperature, and the field factors applied to Ew(NCV) are the exhaust gas heat loss coefficient, other heat loss coefficients, waste heat boiler efficiency, and the lower heating value of the primary incineration fuel (up to 4th), and the derived result of Ew(NCV) is the production steam enthalpy (h1), the production steam net enthalpy (hst), the production steam flow rate m_stw, the lower heating value of waste LHV_w, and the effective input energy value Ew(NCV) that can be actually utilized in the treatment process.

[0128] Figure 6 is a diagram showing the calculator calculation factors for calculating Ef (recovered energy) as a step performed after calculating Ew (NCV) in the general / high-temperature treatment method of municipal solid waste.

[0129] In Figure 6, recoverable energy Ef is calculated based on the amount of production steam and enthalpy change generated during the waste treatment process, and the input data and correction coefficients used are as follows.

[0130] First, the measured data for calculating Ef includes the flow rate of the primary incinerator auxiliary fuel (up to the fourth stage), the field factor includes the lower calorific value of the primary incineration auxiliary fuel (up to the fourth stage), and the calculation result is a value calculated by using the flow rate of the auxiliary fuel and the lower calorific value entered as Ef to calculate the amount of pure energy recoverable during the incineration process.

[0131] Regarding the calculation factors for the calculator used to determine Ei (input energy) in general / high-temperature treatment methods for municipal solid waste, the measurement data includes the flow rate of auxiliary fuel for pollution control equipment, the total amount of external power received, the weight of waste in the target unit, and the weight of waste in other units; the calculation results are the power supply ratio (waste ratio), the calorific value of auxiliary fuel for pollution control equipment, the calorific value of external power received for the target unit, and Ei.

[0132] Figure 7 is a diagram showing the calculation factors of a calculator for calculating Ep (parasitic energy loss) in the general / high-temperature treatment method of municipal solid waste, illustrating the input data, field factors, and result values ​​for calculating the amount of unrecovered energy loss caused by steam generated during the waste treatment process and the operation of auxiliary equipment.

[0133] The measured data used for calculating Ep consists of a total of 12 items, including the target aerobic steam production flow rate, other aerobic steam production flow rate, primary supply steam flow rate (up to 6th), primary supply steam temperature (up to 6th), primary supply steam pressure (up to 6th), primary recovery condensate flow rate (up to 6th), primary recovery condensate temperature (up to 6th), primary supply steam enthalpy (up to 6th), primary supply steam net enthalpy (up to 6th), primary supply steam heat quantity (up to 4th), incineration flue gas flow rate, and incineration flue gas recovery temperature.

[0134] The field factors applied to the calculation of Ep consist of the steam-hot water equivalence factor, the electric-heat conversion unit, the electric equivalence factor, and the specific heat of incineration flue gas.

[0135] The derived result obtained from the calculation of Ep consists of a total of 12 items, including the ratio of steam produced by the target unit, the corresponding flow rate of primary supply steam (up to 6th), the enthalpy of primary supply steam (up to 6th), the pressure of primary supply steam (up to 6th), the net enthalpy of primary supply steam (up to 6th), the corresponding flow rate of primary recovery condensate (up to 6th), the heat content of primary recovery condensate (up to 6th), the net heat content of primary supply steam (up to 6th), the heat content of primary supply steam (up to 4th), the electric heat content of primary supply corresponding steam (up to 4th), the heat content of incineration flue gas, and Ep (parasitic loss energy).

[0136] Figure 8 is a diagram showing common measurement data and common calculation results in the pyrolysis / high-temperature melting treatment method for municipal solid waste, and calculator calculation factors for calculating Ew(NCV) in the pyrolysis / high-temperature melting treatment method.

[0137] The common measured data is the waste input amount for Unit 1 (up to Unit 3), the steam flow rate for Unit 1 (up to Unit 3), and the steam flow rate for primary other boilers (up to 3), and the common derived result is the total waste input amount, the waste input amount for the target unit, the waste input amount for other units, the total steam flow rate (including other boilers), the steam flow rate for the target unit, and the steam flow rate for other units.

[0138] In addition, regarding the calculation factors for the calculator used to calculate Ew(NCV) in the pyrolysis / high-temperature melting treatment method, the measurement data for the method are the target aerobic waste input amount, target aerobic production steam flow rate, target aerobic production steam temperature, target aerobic production steam pressure, waste heat boiler feedwater temperature, primary incinerator auxiliary fuel flow rate (up to the 4th stage), and waste heat boiler outlet temperature.

[0139] Field Factors are exhaust gas heat loss coefficients, other heat loss coefficients, waste heat boiler efficiency, and primary incineration auxiliary fuel lower heating value (up to 4th), and Derived Result is production steam enthalpy (h1), production steam net enthalpy (hst), mstw, LHVw, Ew(NCV).

[0140] Figure 9 is a diagram showing the calculation factors of a calculator for calculating Ef (recovered energy) and Ei (input energy) in the pyrolysis / high-temperature melting treatment method of municipal solid waste, illustrating the input data, field factors, and calculation results applied in the process of calculating recoverable energy and total input energy based on operating data such as auxiliary fuel usage and power consumption.

[0141] First, regarding the calculator factor for calculating Ef (recovered energy) in the pyrolysis / high-temperature melting treatment method, the measured data used to calculate Ef is the flow rate of the primary incinerator auxiliary fuel (up to the 4th stage), the field factor applied to calculate Ef is the lower calorific value of the primary incinerator auxiliary fuel (up to the 4th stage), and the derived result is Ef (recovered energy).

[0142] In addition, regarding the calculator calculation factors for calculating Ei (input energy) in the pyrolysis / high-temperature melting treatment method, the measured data used for calculating Ei consists of the flow rate of auxiliary fuel for pollution control facilities, the total amount of external power received, the weight of waste in the target unit, and the weight of waste in other units, and the field factors applied for calculating Ei consist of the lower calorific value of the auxiliary fuel for pollution control facilities, the unit of conversion of electric power calorific value, and the electric power equivalence coefficient, and the derived result of calculating Ei is the electric power supply ratio (waste ratio), the calorific value of the auxiliary fuel for pollution control facilities, the calorific value of external power received in the target unit, and Ei.

[0143] Figures 10 and 11 are diagrams showing the calculation factors of a calculator for calculating Ep (parasitic energy loss) in the thermal decomposition / high-temperature melting treatment method of municipal solid waste.

[0144] The measured data used for calculating Ep is the target unit production steam flow rate, other unit production steam flow rate, primary supply steam flow rate (up to 6th), primary supply steam temperature (up to 6th), primary supply steam pressure (up to 6th), primary recovery condensate flow rate (up to 6th), primary recovery condensate temperature (up to 6th), primary supply hot water heat quantity (up to 4th), primary supply power quantity (up to 4th), incineration flue gas flow rate, incineration flue gas supply temperature, incineration flue gas recovery temperature, target unit waste input amount, slag generation amount, slag moisture (experimental value), slag temperature, and reference temperature.

[0145] The on-site factors are the steam-hot water equivalence factor, the electric heat conversion unit, the electric equivalence factor, the specific heat of incineration flue gas, and the specific heat of slag.

[0146] The derived results obtained from the calculation of Ep are the ratio of steam produced by the target unit, the corresponding flow rate of primary supply steam (up to 6th), the enthalpy of primary supply steam (up to 6th), the heat quantity of primary supply steam (up to 6th), the corresponding flow rate of primary recovered condensate (up to 6th), the heat quantity of primary recovered condensate (up to 6th), the net heat quantity of primary supply steam (up to 6th), the corresponding heat quantity of primary supply hot water (up to 4th), the corresponding electric energy quantity of primary supply (up to 4th), the corresponding electric energy quantity of primary supply (up to 4th), the heat quantity of incineration flue gas, the waste ratio, the amount of slag generated by the corresponding unit, the dry-based amount of slag generated by the corresponding unit, the heat quantity of slag, and Ep (parasitic loss energy).

[0147] FIGS. 12 to 17 show the integrated calculator calculation factors for industrial waste among the calculator calculation factors of FIG. 4, and FIGS. 18 to 23 show the separated calculator calculation factors for industrial waste among the calculator calculation factors of FIG. 4.

[0148] Figure 12 is a diagram showing the measured data and derived results commonly applied in an integrated treatment method for industrial waste.

[0149] Common measurement data used in the integrated industrial waste treatment method are the waste input amount for Unit 1 (by unit number), the steam production flow rate for Unit 1 (by unit number), and the steam production flow rate for primary other boilers (by unit number).

[0150] In addition, the common results derived based on the relevant measurement data are the total waste input amount, the waste input amount for the target unit, the waste input amount for other units, the total production steam flow rate (including other boilers), the production steam flow rate for the target unit, and the production steam flow rate for other units.

[0151] Figures 13 and 14 relate to the integrated Ew of industrial waste among the calculator calculation factors of Figure 4, and are illustrated by separating a single drawing into two to improve readability.

[0152] The actual measurement data from the industrial waste treatment process is as follows.

[0153] The waste input amount for the target unit, waste input amount for other units, steam production flow rate for the target unit, steam production temperature for the target unit, steam production pressure for the target unit, air flow rate for primary combustion (up to 4th), air temperature for primary combustion (up to 4th), auxiliary fuel flow rate for the primary incinerator (up to 4th), boiler feedwater temperature, flue gas flow rate, oxygen concentration in flue gas, waste heat boiler outlet temperature, waste heat boiler outlet oxygen, waste heat boiler outlet moisture, ash generation amount, ash moisture, ash temperature, ash ignition loss, steam production flow rate for the target unit, steam production pressure for the target unit, and boiler feedwater flow rate are included.

[0154] In addition, field factors applied according to process characteristics for Ew calculation include reference temperature, specific heat of air, lower heating value (LHV) of primary incineration auxiliary fuel, specific heat of incineration ash, and calorific value of carbon.

[0155] In addition, FIG. 14 defines the energy calculation result items (caloric calculation elements) calculated using the above measurement data and field factors. It includes the caloric value of combustion air (Qin1), caloric value of incinerator auxiliary fuel (Qin2), total input caloric value (ΣQin), heat absorbed by steam, heat retained by exhaust gas (Qin2), heat loss from waste heat boiler (Qin3), heat loss from incinerator (Qin4), heat from incineration ash (Qin5), loss of unburned carbon from incineration ash (Qin6), and heat from blowdown (Qin7). After calculating the total input caloric value (ΣQin) and total output caloric value (ΣQout), it includes ΣQout-ΣQin, LHVw, and Ew.

[0156] FIG. 15 illustrates the calculator calculation factors for calculating Ef (energy due to auxiliary fuel input) and Ei (energy due to external power usage) in the integrated energy accounting of the present invention.

[0157] First, regarding the integrated Ef, the measurement data of the integrated Ef is the flow rate of the primary incinerator auxiliary fuel (up to the 4th stage), and the field factor of the integrated Ef is the lower calorific value of the primary incineration auxiliary fuel (up to the 4th stage). The result calculated using the above measurement data and field factor is Ef.

[0158] Furthermore, regarding the integrated Ei, the measurement data for the integrated Ei consists of the flow rate of the pollution control facility auxiliary fuel, the total amount of external power received, the weight of waste in the target unit, and the weight of waste in other units, while the field factors for the integrated Ei are the lower calorific value of the pollution control facility auxiliary fuel, the unit of conversion for electric power calorific value, and the electric power equivalence factor. The calculated results based on the above values ​​are the electric power supply ratio (waste ratio), the calorific value of the pollution control facility auxiliary fuel, the calorific value of the external power received by the target unit, and Ei.

[0159] FIGS. 16 and 17 show the calculator calculation factors related to the integrated Ep (Parasitic Energy Loss) calculation of the present invention, which are shown in two separate drawings for readability.

[0160] First, Figure 16 shows the measured data and field factors used for the calculation of the integrated Ep.

[0161] The measurement data used for the calculation of the integrated Ep is the target unit production steam flow rate, other unit production steam flow rate, primary supply steam flow rate (up to 6th), primary supply steam temperature (up to 6th), primary supply steam pressure (up to 6th), primary recovery condensate flow rate (up to 6th), primary recovery condensate temperature (up to 6th), primary supply hot water heat quantity (up to 4th), primary supply electric energy quantity (up to 4th), incineration flue gas flow rate, incineration flue gas supply temperature, incineration flue gas recovery temperature, target unit waste input amount, other unit waste input amount, slag generation amount, slag moisture (experimental value), slag temperature, and reference temperature.

[0162] The field factors applied to the calculation of Ep are the steam-hot water equivalence factor, the electric heat conversion unit, the electric equivalence factor, the specific heat of incineration flue gas, and the specific heat of slag.

[0163] Figure 17 shows the derived results calculated based on the measurement data input in Figure 16 and field factors. The derived results of the Ep calculation include the ratio of steam produced by the target unit, the corresponding flow rate of the primary supply steam (up to the 6th stage), the enthalpy of the primary supply steam (up to the 6th stage), the heat quantity of the primary supply steam (up to the 6th stage), the corresponding flow rate of the primary supply condensate (up to the 6th stage), the heat quantity of the primary supply condensate (up to the 6th stage), the net heat quantity of the primary supply steam (up to the 6th stage), the corresponding heat quantity of the primary supply hot water (up to the 4th stage), the corresponding electric energy quantity of the primary supply (up to the 4th stage), the corresponding electric energy quantity of the primary supply (up to the 4th stage), the heat quantity of the incineration flue gas, the waste ratio, the amount of slag generated by the corresponding unit, the amount of slag generated by the reference unit, the heat quantity of the slag, and Ep.

[0164] FIG. 18 is a diagram showing input data (measurement data) and calculation result items commonly applied in the workplace waste separation type calculation method according to an embodiment of the present invention.

[0165] In the separated type, the measured data consists of the waste input amount for Unit 1, the steam production flow rate for Unit 1, and the steam production flow rate for the primary other boiler. The derived result calculated based on the measured data consists of the total waste input amount, the waste input amount for the target unit, the waste input amount for other units, the total steam production flow rate (including other boilers), the steam production flow rate for the target unit, and the steam production flow rate for other units.

[0166] FIGS. 19 and 20 are drawings showing calculator calculation factors for calculating the Ew (Effective Waste Energy Input) value in a separated type method. In order to illustrate the measured data, field factors, and derived results used in calculating Ew, a single drawing is divided into two to improve readability.

[0167] First, the measured data consists of the following items: waste input amount for the target unit, waste input amount for other units, air flow rate for primary combustion, air temperature for primary combustion, auxiliary fuel flow rate for the primary incinerator, steam flow rate for the target unit, steam temperature for the target unit, steam pressure for the target unit, boiler feedwater temperature, flue gas flow rate, flue gas oxygen concentration, secondary combustion chamber outlet temperature, waste heat boiler outlet temperature, waste heat boiler outlet oxygen concentration, waste heat boiler outlet moisture, ash generation amount, ash moisture, ash temperature, and ash ignition loss, totaling 19 items.

[0168] Next, the field factor consists of reference temperature, air specific heat, lower heating value of primary incineration auxiliary fuel (up to 4th), specific heat of incineration ash, and carbon calorific value.

[0169] Finally, the derived result of the Ew calculation is as follows: 2Qin1 (combustion air), 2Qin2 (incinerator auxiliary fuel), Σ2Qin (total input heat), 2Qout2 (heat retained in exhaust gas), 2Qout3 (heat emitted from incineration ash), 2Qout4 (unburned carbon from incineration ash), Σ2Qout (total emitted heat), Σ2Qout - Σ2Qin (net heat difference), LHVw (lower heating value), and Ew (effective input energy).

[0170] FIG. 21 is a diagram showing calculator calculation factors for calculating Ef and Ei values ​​in a workplace waste separation type calculation method according to one embodiment of the present invention, illustrating the measured data, field factor, and derived result required for each calculation item.

[0171] First, the items for calculating Ef (auxiliary fuel energy) are as follows. The measured data is the auxiliary fuel flow rate of the primary incinerator (up to the 4th stage).

[0172] The field factor is the lower calorific value of the primary incineration auxiliary fuel (up to the fourth).

[0173] The derived result is Ef (auxiliary fuel energy).

[0174] Next, the items for calculating Ei (internal energy consumption due to power and fuel usage of auxiliary facilities) are as follows. The measured data consists of the flow rate of auxiliary fuel for pollution control facilities, the total amount of external power received, the weight of waste in the target unit, and the weight of waste in other units.

[0175] The field factors are the lower calorific value of the auxiliary fuel for pollution control equipment, the unit of conversion for electric heat, and the electric equivalence factor.

[0176] The derived results are the power supply ratio (waste ratio), the calorific value of the auxiliary fuel for the pollution control facility, the calorific value of the external power supply for the target unit, and Ei (energy consumption of the auxiliary facility).

[0177] FIGS. 22 and 23 are drawings showing the calculation factors of a calculator for calculating Ep (Parasitic Energy Loss) in a separate treatment method for industrial waste according to one embodiment of the present invention, and are shown in two drawings for readability.

[0178] First, the measured data for calculating Ep includes the target unit production steam flow rate, other unit production steam flow rate, primary supply steam flow rate, primary supply steam temperature, primary supply steam pressure, primary recovery condensate flow rate, primary recovery condensate temperature, primary supply hot water heat quantity, primary supply power quantity, incineration flue gas flow rate, incineration flue gas supply temperature, target unit waste input quantity, other unit waste input quantity, slag generation quantity, slag moisture (experimental value), slag temperature, and reference temperature.

[0179] In addition, the fixed factors applied to the calculation of Ep are the steam-hot water equivalence factor, the electric heat conversion unit, the electric equivalence factor, the specific heat of incineration flue gas, and the specific heat of slag.

[0180] In addition, the Ep calculation result (Derived Result), calculated based on measurement data and field factors, consists of the target unit production steam ratio, primary supply steam corresponding flow rate (up to 6th), primary supply steam enthalpy (up to 6th), primary supply steam heat quantity (up to 6th), primary recovery condensate corresponding flow rate (up to 6th), primary recovery condensate heat quantity (up to 6th), primary supply steam net heat quantity (up to 6th), primary supply hot water corresponding heat quantity (up to 4th), primary supply corresponding electric energy quantity (up to 4th), primary supply corresponding electric energy heat quantity (up to 4th), incineration flue gas heat quantity, waste ratio, slag generation amount of the corresponding unit, and Ep (Parasitic Energy Loss).

[0181] Calculation factors are broadly divided into the following three categories.

[0182] Measured Data, which is the basic data collected during the processing.

[0183] Field Factor, a correction value reflecting environmental or process influences.

[0184] Derived Result, which is the calculated final energy recovery efficiency value.

[0185] For example, I will explain.

[0186] In the case of the general / high temperature treatment method for household waste, 2,000 kg of plastic waste is fed into one waste treatment process. The lower heating value (LHV) of this waste was measured to be 6,000 kcal / kg, and a high temperature of 850°C is maintained during the treatment process.

[0187] The external temperature at which the process was carried out was 30℃, and since heat loss increased compared to the standard condition of 25℃, an environmental factor factor of 0.95 was applied. In addition, because the maintenance of the combustion equipment was incomplete, a process efficiency factor of 0.92 was applied.

[0188] The initial efficiency is calculated as follows. When the heat input (Q_input) is 12,000,000 kcal and the heat loss (Q_loss) is 1,000,000 kcal,

[0189]

[0190] The final efficiency with field factor correction applied is as follows.

[0191]

[0192] As a result, the corrected energy recovery efficiency in this process is calculated to be approximately 80.14%.

[0193] In the case of industrial waste – pyrolysis treatment – ​​1,500 kg of electronic waste is fed into the pyrolysis process. The Lower Heating Value (LHV) of this waste was measured at 4,500 kcal / kg, and during the pyrolysis process, 800m 3 Gas is generated.

[0194] The process environment is optimized for pyrolysis equipment, so a process efficiency factor of 0.98 is applied.

[0195] The initial efficiency is when the heat input (Q_input) is 6,750,000 kcal and the heat loss (Q_loss) is 500,000 kcal,

[0196]

[0197] The final efficiency reflecting the process environment factor is as follows.

[0198]

[0199] The two examples above illustrate the process of calculating optimized energy recovery efficiency by combining measured data and field factors based on the type of waste and treatment method. This approach can enhance the reliability of the treatment process and maximize the effectiveness of energy recovery.

Claims

In an energy recovery efficiency calculation system, A waste classification unit (100) that performs the function of classifying waste into household waste or industrial waste, A treatment method determining unit (200) that selects a general / high temperature method, a pyrolysis / high temperature melting method, an integrated or separated method based on the calorific value (LHV) and physical state of the waste, A calculation method selection unit (300) that sets the calculation to be performed using a detailed calculator or a simple calculator set according to the amount of waste and processing complexity, A data collection unit (400) that collects calculation data by measuring the weight, heat content, and processing speed of waste according to processing conditions based on temperature or pressure, and An energy recovery efficiency calculation system characterized by including a recovery efficiency calculation unit (500) that calculates energy recovery efficiency by processing method based on collected data and calculates the final result by reflecting field factors. In paragraph 1, An energy recovery efficiency calculation system characterized by further including a result output unit (600) that outputs the energy recovery efficiency result calculated through the above recovery efficiency calculation unit. In paragraph 1, The above processing method determining unit An energy recovery efficiency calculation system characterized by selecting a general / high temperature method or a pyrolysis / high temperature melting method when the waste is household waste, and selecting an integrated or separated method when the waste is industrial waste. In paragraph 1, The above recovery efficiency calculation unit An energy recovery efficiency calculation system characterized by calculating the final efficiency by applying a correction factor that reflects on-site factors (temperature, humidity, process environment). In a method using an energy recovery efficiency calculation system, (a) A step in which the energy recovery efficiency calculation system classifies waste into household waste or industrial waste according to its physical and chemical characteristics, (b) A step of selecting a general / high temperature method or a pyrolysis / high temperature melting method when the energy recovery efficiency calculation system is for municipal waste, and selecting an integrated or separated method when it is for industrial waste, (c) A step of setting the energy recovery efficiency calculation system to perform calculations using a detailed calculator or a simplified calculator set according to the amount of waste and processing complexity, (d) A step in which the energy recovery efficiency calculation system measures the weight, calorific value, processing speed, and processing conditions of the waste and collects data, (e) A method using an energy recovery efficiency calculation system characterized by including the step of calculating energy recovery efficiency by processing method based on collected data and calculating a final result by reflecting field factors. In paragraph 5, A method using an energy recovery efficiency calculation system characterized by further including a step of providing the energy recovery efficiency result calculated in step (e) to a user terminal.

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