KR-102960909-B1 - System for Manufacturing Low-Carbon Food using hybrid energy and Its Manufacturing Method

KR102960909B1KR 102960909 B1KR102960909 B1KR 102960909B1KR-102960909-B1

Abstract

The present invention discloses a low-carbon food manufacturing system using hybrid energy and a method for manufacturing the same. According to one aspect of the present embodiment, a low-carbon food manufacturing system using hybrid energy is a low-carbon food manufacturing system using hybrid energy for manufacturing health functional foods, comprising: an equipment unit that performs one or more processes of washing, grinding, extraction, concentration, sterilization, or filling for manufacturing health functional foods based on a process control signal; a first energy supply unit that supplies a basic energy source required for each process of the equipment unit; a second energy supply unit that supplies renewable energy required for each process of the equipment unit, including one or more of a solar panel, an energy storage device, a fuel cell, or a solar thermal generator; a power distribution unit that distributes driving energy to a preset number of channels connected to the equipment unit when driving energy is input from the first energy supply unit or the second energy supply unit based on a power control signal; and a control unit that provides a process control signal to operate each process based on the operating conditions of each process, and provides a power control signal to use at least one of the basic energy source and renewable energy by monitoring the power generation status of the second energy supply unit.

Inventors

김민국
전준영
문정민
김용현
손명우
김창헌

Assignees

한국광기술원

Dates

Publication Date: 20260507
Application Date: 20241114

Claims (18)

As a low-carbon food manufacturing system using hybrid energy for manufacturing health functional foods, A facility unit that performs one or more processes of washing, grinding, extraction, concentration, sterilization, or filling for manufacturing a health functional food based on a process control signal; A first energy supply unit that supplies basic energy sources required for the progress of each process of the above-mentioned equipment unit; A second energy supply unit that supplies renewable energy required for the progress of each process of the above-mentioned equipment unit, including one or more of a solar panel, an energy storage device, a fuel cell, or a solar thermal generator; A power distribution unit that, based on a power control signal, distributes driving energy to a preset number of channels connected to the equipment unit when driving energy is input from the first energy supply unit or the second energy supply unit; and A control unit that provides a process control signal to operate each process based on the operating conditions of each process, and provides a power control signal to monitor the power generation status of the second energy supply unit and to use at least one of the basic energy source and new and renewable energy; A low-carbon food manufacturing system using hybrid energy characterized by including
In paragraph 1, The above-mentioned first energy supply unit is, A low-carbon food manufacturing system using hybrid energy characterized by supplying basic energy sources of various energy types, including electricity, water, gas, and fossil fuels.
In paragraph 1, The above control unit is, A power monitoring module that monitors the power status being used in the process of the above-mentioned equipment unit and the energy status being produced by the above-mentioned second energy supply unit; A power demand forecasting module that predicts future power demand using a power demand forecasting algorithm based on past power demand pattern data and external variables; A power generation prediction module that provides a predicted value of power generation achievable by the second energy supply unit using a solar power generation prediction algorithm based on environmental information and power generation analysis data; A power mode selection module that, based on the above-mentioned future power demand and power generation forecast information, selects an energy source to use at least one of the energies in the first energy supply unit and the second energy supply unit, and combines the selected energy sources to supply power; and A low-carbon food manufacturing system using hybrid energy, characterized by including a fault diagnosis module that diagnoses whether a fault has occurred in the second energy supply unit using a pre-trained first artificial intelligence model.
In paragraph 3, The above-mentioned first artificial intelligence learning model is, A low-carbon food manufacturing system using hybrid energy characterized by learning input and output values using a Deep SVDD (Support Vector Data Description) architecture.
In paragraph 3, The above power generation prediction module is, A second artificial intelligence model that provides the predicted power generation value using the above solar power generation prediction algorithm is used, A low-carbon food manufacturing system using hybrid energy, characterized in that the above-mentioned second artificial intelligence model is trained using solar panel power generation information and environmental information as input values, and future power generation prediction values as output values.
In paragraph 5, The above second artificial intelligence model is, A low-carbon food manufacturing system using hybrid energy characterized by learning input and output values using a Gradient Boosting Regressor architecture.
In paragraph 3, The above environmental information is, A low-carbon food manufacturing system using hybrid energy characterized by including some or all of solar radiation hours, sunlight intensity, temperature, humidity, wind speed, and precipitation.
In paragraph 1, The above control unit is, A low-carbon food manufacturing system using hybrid energy, characterized by counting the operating time from the start time for each process and using a flag indicating a set value for an on/off attribute for each process to monitor the process progress of the above-mentioned equipment.
A method for manufacturing low-carbon food using hybrid energy, performed by a low-carbon food manufacturing system using hybrid energy for manufacturing health functional foods, A process flow process for providing a process control signal to an equipment unit that performs one or more processes among washing, grinding, extraction, concentration, sterilization, or filling for manufacturing a health functional food, so that each process is operated based on the operating conditions of each process; When the process proceeds by the equipment unit based on the above process control signal, a power monitoring process for monitoring the power consumption of the process equipment required for process operation and the power being produced by a renewable energy source that produces renewable energy; A power mode selection process that, based on power monitoring results, compares the power consumption of the process equipment with the power being produced, and provides a power control signal to use at least one of the renewable energy source and a basic energy source excluding the renewable energy source; and A power distribution process that, based on the above power control signal, when driving energy is input from the above basic energy source or renewable energy source, distributes the driving energy to a preset number of channels connected to the above equipment unit; A method for manufacturing low-carbon food using hybrid energy, characterized by including
In Paragraph 9, The above basic energy source is, A method for manufacturing low-carbon food using hybrid energy, characterized by supplying basic energy sources of various energy types including electricity, water, gas, and fossil fuels.
In Paragraph 9, The above-mentioned new and renewable energy sources are, A method for manufacturing low-carbon food using hybrid energy, characterized by including one or more of a solar panel, an energy storage device (ESS), a fuel cell, or a solar thermal generator.
In Paragraph 11, The above power mode selection process is, If the power (P) being used in the ongoing process of the above-mentioned equipment is less than or equal to the power (P_PV) being produced by the above-mentioned solar panel, a step of executing a first power mode to provide energy produced by the above-mentioned solar panel; If the power (P) being used in the process is greater than the power (P_PV) being produced by the solar panel and there is no power (P_ESS) stored in the energy storage device, a step of executing a second power mode to provide hybrid energy by merging the solar panel and the power grid; If the power (P) being used in the process is greater than the power (P_PV) being produced by the solar panel and there is power (P_ESS) stored in the energy storage device, a step of executing a third power mode to provide hybrid energy combining the solar panel and the energy storage device; If the power (P) being used in the process is greater than the sum of the power being produced by the solar panel (P_PV) and the power stored in the energy storage device (P_ESS), and there is no power being produced by the fuel cell (P_FC), the step of indicating that the fuel cell is in a faulty state and executing a fourth power mode to provide hybrid energy combining the solar panel, the energy storage device, and the power grid; If the power (P) being used in the process is greater than the sum of the power (P_PV) being produced by the solar panel and the power (P_ESS) stored in the energy storage device, and while the fuel cell is generating power, the power (P) being used in the process is less than or equal to the sum of the power (P_PV) being produced by the solar panel and the power (P_FC) being produced by the fuel cell, then a fifth power mode for providing hybrid energy combining the solar panel and the fuel cell is executed; In a state where the power (P) being used in the process is greater than the sum of the power being produced by the solar panel (P_PV) and the power being produced by the fuel cell (P_FC), if there is no power (P_ESS) stored in the energy storage device, a step of executing a sixth power mode to provide hybrid energy combining the solar panel, the fuel cell, and the power grid (G); A step of executing a seventh power mode for providing hybrid energy combining the solar panel, fuel cell, and energy storage device when the power (P) being used in the process is greater than the sum of the power being produced by the solar panel (P_PV) and the power being produced by the fuel cell (P_FC), and when there is power (P_ESS) stored in the energy storage device; and A method for manufacturing low-carbon food using hybrid energy, characterized by further including the step of executing an 8th power mode to provide hybrid energy combining the solar panel, fuel cell, ESS, and power grid if the power (P) being used in the process is greater than the sum of the power being produced by the solar panel (P_PV), the power being produced by the fuel cell (P_FC), and the power stored in the energy storage device (P_ESS).
In Paragraph 12, The above power mode selection process is, A method for manufacturing low-carbon food using hybrid energy, characterized by further including a step of diagnosing whether a failure has occurred in the solar panel using a pre-trained first artificial intelligence model.
In Paragraph 13, The above-mentioned first artificial intelligence learning model is, A method for manufacturing low-carbon food using hybrid energy, characterized by learning input and output values using a Deep SVDD (Support Vector Data Description) architecture.
In Paragraph 13, The above power mode selection process, in the event that a failure occurs in the solar panel, If there is power (P_FC) being produced in a fuel cell, and the power (P) being used in a process is less than or equal to the power (P_FC) being produced in the fuel cell, a step of providing energy from the fuel cell to the process; If the power (P) being used in the process is greater than the power (P_FC) being produced by the fuel cell and there is no power (P_ESS) stored in the energy storage device, the step of providing energy from the fuel cell and the power grid to the process; If the power (P) being used in the process is greater than the power (P_FC) being produced by the fuel cell and there is power (P_ESS) stored in the energy storage device, and the power (P) being used in the process is greater than the sum of the power (P_FC) being produced by the fuel cell and the power (P_ESS) stored in the energy storage device, then providing energy from the fuel cell, the energy storage device, and the power grid to the process; and A method for manufacturing low-carbon food using hybrid energy, characterized by including the step of providing energy from the fuel cell and the energy storage device when the power (P) being used in the process is greater than the power (P_FC) being produced in the fuel cell, and the power (P) being used in the process is less than or equal to the sum of the power (P_FC) being produced in the fuel cell and the power (P_ESS) stored in the energy storage device.
In paragraph 15, The above power mode selection process is, A method for manufacturing low-carbon food using hybrid energy, characterized by providing energy from the power grid to the process when there is no power being produced in the fuel cell (P_FC) and power stored in the energy storage device (P_ESS).
In paragraph 15, The above power mode selection process is, in the case where there is no power (P_FC) being produced by the fuel cell and only power (P_ESS) stored in the energy storage device is present, If the power (P) being used in the process is greater than the power (P_ESS) stored in the energy storage device, the step of providing energy from the energy storage device and the power grid to the process; and A method for manufacturing low-carbon food using hybrid energy, characterized by including the step of providing energy from the energy storage device to the process when the power (P) being used in the process is less than or equal to the power (P_ESS) stored in the energy storage device.
A computer program stored on a computer-readable storage medium, wherein the computer program, when executed on one or more processors, performs operations for manufacturing low-carbon food using hybrid energy, and The above operations are, An operation of providing a process control signal to an equipment unit that performs one or more processes among washing, grinding, extraction, concentration, sterilization, or filling for manufacturing a health functional food, so that the equipment is operated according to each process based on the operating conditions of each process; When the process proceeds by the equipment unit based on the above process control signal, an operation to monitor the power consumption of the process equipment required for process operation and the power being produced by a renewable energy source that produces renewable energy; An operation of providing a power control signal that uses at least one of the following: the renewable energy source and the basic energy source excluding the renewable energy source, by comparing the power consumption of the process equipment and the power being produced based on the power monitoring results; and When driving energy is input from the basic energy source or renewable energy source based on the above power control signal, the operation of distributing the driving energy to a preset number of channels connected to the equipment unit; A computer program including

Description

System for Manufacturing Low-Carbon Food using hybrid energy and Its Manufacturing Method The present invention relates to a low-carbon food manufacturing system using hybrid energy and a method for manufacturing the same, which can reduce carbon emissions by reducing electrical and thermal energy generated in the food manufacturing process through the provision of hybrid energy utilizing new and renewable energy. The content described in this section merely provides background information regarding the present embodiment and does not constitute prior art. A health functional food refers to a food manufactured using raw materials or ingredients that possess functional properties beneficial to the human body. Here, functional properties beneficial to the human body refer to the ability to obtain effects useful for health purposes, such as regulating nutrients regarding the structure and function of the human body or physiological actions. Health functional foods are foods manufactured using raw materials or functional ingredients that possess nutrients easily deficient in daily diets or have beneficial properties for the human body, and help maintain health. In this case, the raw materials used in health functional foods may be various foods or food additives such as red ginseng, deer antler, black goat, garlic, cordyceps, Acanthopanax, mugwort, eel, freshwater snail, crucian carp, onion, and kudzu. Furthermore, functional ingredients refer to substances with functional properties used in manufacturing, which include raw materials processed as they are, or extracts, purified products, synthetic compounds, and complexes derived from processed materials. In particular, health functional foods containing garlic can be processed into concentrates, powders, pills, etc., and components such as allicin, selenium, and various amino acids are absorbed into the body to provide health benefits. Health functional foods containing garlic can be manufactured using various types of garlic, such as regular garlic, black garlic, and elephant garlic. Here, elephant garlic has nutritional components similar to regular garlic, but it is known to contain more than twice the amount of scordinin compared to regular garlic, and is much richer than garlic in S-allyl cysteine—an antioxidant component that plays a role in protecting blood vessels damaged by diabetes—as well as allicin. The food manufacturing process for producing health functional foods performs processes such as drying, grinding, solid packaging, liquid packaging, and sterilization following raw material processes including washing, extraction, purification, concentration, and fermentation, depending on the type of food. Specifically, in the food manufacturing process for producing health functional foods, when raw materials are received, they are subdivided into the required quantities and raw material processes such as washing, extraction, purification, concentration, and fermentation are performed according to the characteristics of the raw materials. The raw materials are then introduced into an extraction tank to carry out the extraction process, and when transferring the extract to the purification tank, a food-grade filter is connected to the transfer pump to filter out impurities, and a separate additional purification process is performed if necessary. Once the purification process is completed, the material is transferred to a concentration tank and concentrated under reduced pressure to perform the concentration process. After the concentration process is completed, the concentrated raw material is powdered and packaged according to the desired food form (liquid or solid), or a packaging process is performed to package it in liquid stick formulations, etc. Currently, one-third of global greenhouse gas emissions originate from the food industry, which includes the cultivation, production, and transportation of food. The food industry encompasses livestock farming, feed production, manufacturing of other processed foods, packaging, and the distribution of finished products. Currently, the food market is expected to grow due to factors such as rising consumer income levels, the pursuit of well-being in dietary habits, the increase in single-person households, and the spread of convenience foods resulting from women's entry into the workforce. Consequently, it is anticipated that carbon emissions from food manufacturing will continue to increase unless technological efforts are made to increase energy efficiency or reduce carbon emissions during the food manufacturing stage. Consequently, while the global food manufacturing industry is making efforts to reduce carbon emissions during production and distribution stages, there remains a problem where a significant amount of carbon is still being emitted because production facilities requiring high energy, such as hot water and steam, are still being used in stages such as washing, grinding, extraction, concentra