KR102497736B1 - System for generating energy for smart farms and method for building the same - Google Patents

Abstract

The new renewable energy generation system for smart-farm and the generation capacity calculation method of the system of the present invention build a new renewable energy generation facility in the smart-farm and use the power generated by the power generation facility as a load in the smart farm, It is possible to replace consumed power with new and renewable energy instead of conventional commercial electricity, and thereby, there is an advantage in that the burden of electricity usage charges on consumers can be reduced. In addition, the present invention calculates the power generation capacity of the energy generation system for smart-farm using the predicted result of renewable energy generation using the data of the Korea Meteorological Administration and the load consumed in the smart farm, and builds a system using the result, - It has the effect of generating the optimal energy required for farm operation. In addition, it is possible to introduce new and renewable energy power generation facilities by calculating the appropriate amount of power generation that can handle the peak load at the moment consumed in the smart farm, thereby increasing energy efficiency.

Description

Energy generation system for smart farm and method of constructing the system {SYSTEM FOR GENERATING ENERGY FOR SMART FARMS AND METHOD FOR BUILDING THE SAME}

The present invention relates to a smart-farm energy generation system, and more particularly, to a smart-farm energy generation system including a plurality of renewable energy generation systems and a method for constructing the system.

Recently, smart farm technology has been introduced to appropriately maintain and manage the growing environment of crops, livestock, and marine products using technologies such as the Internet of Things, big data, and artificial intelligence. This smart farm technology has the advantage of increasing convenience as well as efficiency of production by remotely and automatically managing the growth environment with a PC and a smartphone.

In the case of agriculture where the elderly and the vulnerable are mainly engaged, the introduction of such a smart-farm is urgently needed. However, when smart-farms are introduced, electricity consumption increases due to the installation of sensors and facilities. Because of this, users have difficulty introducing a new technology called smart-farm.

On the other hand, the existing agricultural sector had no choice but to accept expensive electricity as it is even at peak load by using KEPCO's commercial electricity.

Korean Patent Publication No. 10-2020-0057831 (published date: 2020.05.27, name: smart farm control system)

Therefore, the present invention constructs a new renewable energy generation facility in a smart-farm and uses the power generated in the power generation facility as a load in the smart farm, thereby replacing the power consumed by the farmhouse with renewable energy rather than conventional commercial electricity. Therefore, it is intended to provide a new and renewable energy generation system for smart-farms and a method for calculating the generation capacity of the system that can reduce the burden of consumers' electricity bills.

In addition, the present invention calculates the power generation capacity of the energy generation system for smart-farm using the predicted result of renewable energy generation using the data of the Korea Meteorological Administration and the load consumed in the smart farm, and builds a system using the result, - To develop the optimal energy required for farm operation and to provide a smart-farm energy generation system that can increase energy efficiency and a method for calculating the generation capacity of the system.

In order to achieve the above object, the smart-farm energy generation system provided by the present invention includes a first input unit for receiving past climate data provided by the Korea Meteorological Administration; a second input unit that receives measurement data on the amount of power consumption from a plurality of meters installed in the irrigation system of the smart farm; After receiving the climate data from the first input unit and predicting the amount of power generation for a predetermined renewable energy generation system using the climate data, deriving a pattern of the predicted amount of power generation for each characteristic required for smart-farm operation power generation analysis unit; a load analysis unit that receives the measurement data from the second input unit and uses the measurement data to derive a pattern of the measured load for each characteristic necessary for operating the smart farm; And it characterized in that it comprises a design unit for designing the number of installation units of the renewable energy generation system by comparing and analyzing the generation amount pattern and the load amount pattern.

Preferably, the first input unit may be implemented as a communication unit that provides an interface with a communication network and receives predetermined past weather data by accessing the Korea Meteorological Administration through the communication network.

Preferably, the first input unit may provide an interface with a user and receive predetermined past climate data by a user's manipulation signal.

Preferably, the second input unit may measure the amount of active power per minute from the meters.

Preferably, the power generation analysis unit information extraction unit for extracting the renewable energy generation information affecting the renewable energy generation output from the climate data; And after predicting the amount of new and renewable energy generation corresponding to the extracted new and renewable energy generation information, it may include a power generation prediction unit for predicting the total power generation by adding the predicted at least one renewable energy generation amount.

On the other hand, in order to achieve the above object, the construction method of the smart-farm energy generation system provided by the present invention predicts the amount of power generation for at least one renewable energy generation system using past climate data provided by the Korea Meteorological Administration. step; A power generation pattern derivation step of deriving a pattern of the power generation by analyzing the predicted power generation for each characteristic required for smart-farm operation; A load measurement step of measuring the load consumed in the smart-farm using a meter installed in the irrigation system of the smart-farm; A load pattern derivation step of deriving a pattern of the load by analyzing the measured load for each characteristic required for smart-farm operation; And it characterized in that it comprises a design step of designing the installed number of the renewable energy generation system by comparing and analyzing the generation amount pattern and the load amount pattern.

Preferably, the power generation amount estimation step may include a wind power generation information extraction step of extracting wind power generation information affecting an output of wind power generation from the climate data; A wind power generation amount estimation step of estimating the wind power generation amount using the wind power generation information; a photovoltaic information extraction step of extracting photovoltaic information that affects photovoltaic output from the climate data; A photovoltaic power generation amount estimation step of estimating the photovoltaic power generation amount using the photovoltaic power generation information; and a total generation amount estimation step of estimating the total amount of power generation by summing the predicted value of the amount of wind power generation and the predicted amount of photovoltaic power generation.

Preferably, in the load measuring step, the amount of active power per minute may be measured using the meter.

Preferably, the design step compares the estimated total power generation per day with the total load per day, and determines the number of installed renewable energy generation systems to generate the total amount of power generation per day to the extent that a predetermined amount of power can be accumulated. can design

The new renewable energy generation system for smart-farm and the generation capacity calculation method of the system of the present invention build a new renewable energy generation facility in the smart-farm and use the power generated by the power generation facility as a load in the smart farm, It is possible to replace consumed power with new and renewable energy instead of conventional commercial electricity, and thereby, there is an advantage in that the burden of electricity usage charges on consumers can be reduced. In addition, the present invention calculates the power generation capacity of the energy generation system for smart-farm using the predicted result of renewable energy generation using the data of the Korea Meteorological Administration and the load consumed in the smart farm, and builds a system using the result, - It has the effect of generating the optimal energy required for farm operation. In addition, it is possible to introduce new and renewable energy power generation facilities by calculating the appropriate amount of power generation that can handle the peak load at the moment consumed in the smart farm, thereby increasing energy efficiency.

1 is a schematic block diagram of a smart-farm energy generation system according to an embodiment of the present invention.
2a to 2c are graphs showing examples of predicted power generation using the smart-farm energy generation system according to an embodiment of the present invention.
3a and 3b are graphs showing examples of loads measured using a smart-farm energy generation system according to an embodiment of the present invention.
4a to 4c are graphs showing examples of power generation patterns and load patterns of smart-farm energy generation systems according to the number of installed renewable energy generation systems.
5 is a schematic process flow diagram of a method for constructing an energy generation system for smart-farm according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings, but will be described in detail so that those skilled in the art can easily practice the present invention. However, the present invention may be implemented in many different forms and is not limited to the embodiments described herein. On the other hand, in order to clearly describe the present invention in the drawings, parts irrelevant to the description are omitted, and similar reference numerals are attached to similar parts throughout the specification. In addition, even if detailed descriptions are omitted, descriptions of parts that can be easily understood by those skilled in the art are omitted.

Throughout the specification and claims, when a part includes a certain component, it means that it may further include other components, not excluding other components unless otherwise stated.

1 is a schematic block diagram of a smart-farm energy generation system according to an embodiment of the present invention. Referring to FIG. 1, the smart-farm energy generation system 100 according to an embodiment of the present invention includes a first input unit 110, a second input unit 130, a generation amount analysis unit 120, and a load analysis unit. A unit 140 and a design unit 150 are included.

The first input unit 110 receives past climate data provided by the Korea Meteorological Administration. At this time, the first input unit 110 may receive the climate data in any one of online and offline ways. To this end, the first input unit 110 is implemented as a communication unit that provides an interface with a communication network, connects to the Korea Meteorological Administration through the communication network to receive predetermined past climate data, or provides an interface with the user to respond to a user's manipulation signal. Certain past climate data may be input. For example, the first input unit 110 may read a large amount of climate data by accessing the Korea Meteorological Administration through a communication network or receive the large amount of climate data offline through a user interface.

The generation amount analyzer 120 predicts the amount of power generation for a predetermined renewable energy generation system using climate data input from the first input unit 110 . To this end, the generation amount analysis unit 120 extracts renewable energy generation information that affects the generation output of new and renewable energy (eg, small wind energy and small solar energy) from the climate data, but generates a new renewable energy source. an information extraction unit (not shown) that detects wind speed and direction when the wind power is used, and detects solar radiation and solar radiation when the renewable energy generation source is sunlight; And a generation amount prediction unit (not shown) predicting the total amount of power generation by predicting the corresponding amount of new and renewable energy generation using the extracted new and renewable energy generation information, and then summing up the predicted amount of new and renewable energy generation. do.

For example, assuming that a small solar panel of 300W is installed, the power generation analysis unit 120 derives the expected power generation by applying the solar radiation pattern obtained from the Korea Meteorological Administration to (Equation 1) below. can

If it is assumed that a 500W small wind power facility is installed, the generation amount analyzer 120 may derive the expected generation amount by applying a pattern such as wind speed obtained from the Korea Meteorological Administration to (Equation 2) below.

는 단위 시간당 에너지이고,

는 풍력 에너지를 산출하기 위한 유체의 밀도이고,

는 상기 유체가 통과하는 원기둥의 단면적이고,

는 상기 유체가 움직이는 속력이다.At this time,

is the energy per unit time,

is the density of the fluid for generating wind energy,

Is the cross-sectional area of the cylinder through which the fluid passes,

is the speed at which the fluid moves.

After deriving the expected generation amount for each new and renewable energy source in this way, the generation amount analysis unit 120 predicts the final generation output by summing the respective expected generation amounts, as illustrated in (Equation 3).

If the final power generation output is predicted as described above, the power generation analysis unit 120 may derive a pattern of the predicted power generation amount for each characteristic (eg, time zone, weather, day of the week, etc.) necessary for the smart-farm operation. This is because it is possible to track a pattern of future data through a large amount of past data, due to the nature of weather service data that generally provides annual, monthly, and daily data.

Meanwhile, examples of power generation patterns predicted by the power generation analyzer 120 are illustrated in FIGS. 2A to 2C . 2a to 2c are graphs showing examples of predicted power generation using the smart-farm energy generation system according to an embodiment of the present invention. 2A shows an example of a generation output pattern for each time period, FIG. 2B shows an example for a generation output pattern for each day, and FIG. 2C shows an example for a generation output pattern for each day of the week.

The second input unit 130 receives measurement data for the amount of power consumption from a plurality of instruments installed in the irrigation system of the smart farm (eg, instruments installed in the irrigation motor in the irrigation system) (not shown). To this end, the second input unit 130 may be connected to the meters through a wired/wireless communication network, and measure the amount of active power per minute from the meters.

The load analysis unit 140 uses the measurement data input from the second input unit 130 to derive a pattern of the measured load for each characteristic (eg, time zone, weather, day of the week, etc.) required for the smart-farm operation.

At this time, examples of the derived load pattern are illustrated in FIGS. 3A and 3B. 3a and 3b are graphs showing examples of loads measured using a smart-farm energy generation system according to an embodiment of the present invention. FIG. 3A shows an example of a load amount pattern for each time period, and FIG. 3B shows an example of a load amount pattern for each day.

The design unit 150 compares and analyzes the generation amount pattern derived from the generation amount analysis unit 120 and the load amount pattern derived from the load analysis unit 140 as described above to design the number of installed renewable energy generation systems. That is, the design unit 150 compares the load pattern and the generation amount pattern for each installed number of renewable energy generation systems to determine the number of installed renewable energy generation systems suitable for the corresponding smart-farm. For example, the design unit 150 compares the predicted total power generation per day with the total load per day, and installs the renewable energy generation system to generate the total amount of power generated per day to the extent that a predetermined power can be accumulated. You can design algebra.

4a to 4c are graphs showing examples of power generation patterns and load patterns of smart-farm energy generation systems according to the number of installed renewable energy generation systems. 4A to 4C are 500W small wind power generators and 300W small solar generators having generation output patterns for each time zone as illustrated in FIG. 2A installed in a smart farm having a load pattern for each time zone as illustrated in FIG. 3A These are graphs showing examples of power generation patterns and load patterns for each case. Figure 4a is a case where one 500W small wind power generator and one 300W small solar power generator having a generation output pattern for each time zone as illustrated in FIG. 2A are installed in a smart farm having a load pattern for each time zone as illustrated in FIG. 3A 4b shows a smart farm having a load pattern by time as illustrated in FIG. 3a, a 500W small wind power generator and a 300W small solar power generator having a generation output pattern by time as illustrated in FIG. 2a. 4C shows an example of installing 3 units each, and FIG. 4C is a 500W small wind power generator having a generation output pattern by time as illustrated in FIG. 2A in a smart farm having a load pattern by time as illustrated in FIG. 3A. And an example of a case where 5 units of 300W small solar power generators are installed.

Referring to FIG. 4A, a 500W small wind generator and a 300W small solar power generator each having a generation output pattern by time as illustrated in FIG. 2A are installed in a smart farm having a load pattern by time as illustrated in FIG. 3A When installed, the generation output (1,734W) is about 493W more than the daily standard load (1,241W), but there is no surplus power, so battery storage is impossible.

Referring to FIG. 4B , three 500W small wind generators and 300W small solar power generators each having a generation output pattern for each time zone as shown in FIG. When installed, the generation output (5,201W) is about 4 times greater than the daily load (1,241W), so when designing the battery capacity (200Ah, per unit), it is possible to accumulate power for about 4 days.

Referring to FIG. 4C , five 500W small wind generators and 300W small solar power generators each having a generation output pattern for each time zone as shown in FIG. When installed, the power generation output (8,669W) is about 7 times greater than the daily standard load (1,241W), so the power generation output is significantly higher when 5 renewable energy power generation facilities are installed.

Therefore, as a result of this analysis, in the case of a smart farm having a load pattern for each time zone as illustrated in FIG. 3A, a 500W small wind power generator and a 300W small solar generator having a power generation output pattern for each time zone as illustrated in FIG. 2A It is recommended to install three units at a time.

The design unit 150 can determine the number of installed renewable energy generation systems suitable for the corresponding smart-farm based on these analysis results.

5 is a schematic process flow diagram of a method for constructing an energy generation system for smart-farm according to an embodiment of the present invention. Referring to FIGS. 1 and 5, a method of constructing an energy generation system 100 for smart-farm according to an embodiment of the present invention is as follows.

First, in step S110 , the generation amount analysis unit 120 predicts the generation amount using climate data input from the first input unit 110 . That is, in step S110, the power generation analysis unit 120 predicts power generation for at least one renewable energy generation system using past climate data provided from the Korea Meteorological Administration.

To this end, in step S110, wind power generation information affecting wind power generation output is extracted from the climate data, wind power generation information is predicted using the wind power generation information, and solar power generation output is affected from the climate data. A series of processes of extracting photovoltaic power generation information, predicting solar power generation using the photovoltaic power generation information, and summing the wind power generation predicted value and the photovoltaic power generation predicted value to predict the total power generation amount may be performed. .

For example, assuming that a small solar panel of 300W is installed, in step S110, the generation amount analyzer 120 predicts the amount of solar power generation using the solar radiation pattern obtained from the Korea Meteorological Administration, and If it is assumed that a small wind power facility is installed, the generation amount analyzer 120 may predict the amount of wind power generation using a pattern such as wind speed obtained from the Korea Meteorological Administration. In addition, in step S110, the power generation analysis unit 120 may estimate the final power generation output by adding the predicted solar power generation amount and the wind power generation predicted value.

Meanwhile, in step S120, the generation amount analysis unit 120 analyzes the predicted generation amount for each characteristic required for smart-farm operation (eg, time zone, weather, day of the week, etc.) to derive a pattern of the generation amount. This is because it is possible to track a pattern of future data through a large amount of past data, due to the nature of weather service data that generally provides annual, monthly, and daily data. At this time, examples of predicted power generation patterns are illustrated in FIGS. 2A to 2C.

In step S130, the load analysis unit 140 calculates the load consumed in the smart-farm using instruments installed in the irrigation system of the smart-farm (eg, instruments installed in the irrigation motor in the irrigation system) (not shown). measure To this end, in step S130, the load analysis unit 140 may measure the amount of active power per minute using the meter.

In step S140, the load analysis unit 140 derives a pattern of the load by analyzing the measured load for each characteristic required for smart-farm operation. At this time, examples of the derived load pattern are illustrated in FIGS. 3A and 3B.

In step S150, the design unit 150 compares and analyzes the power generation pattern and the load pattern derived in steps S120 and S140 to design the number of installed renewable energy generation systems. To this end, in step S150, the design unit 150 compares the predicted total power generation per day with the total load per day, and generates the total amount of power generation per day to the extent that a predetermined power can be accumulated. The number of installation units of the system can be designed. At this time, an example of the design standard for the number of installation units of the design unit 150 is as described with reference to FIGS. 4A to 4C.

In the above, the embodiments of the present invention have been described, but the scope of the present invention is not limited thereto, and the present invention is easily changed from the embodiments by those skilled in the art to which the present invention belongs and recognized as equivalent. including all changes and modifications within the scope of

100: energy generation system for smart-farm 110: first input unit
120: power generation analysis unit 130: second input unit
140: load analysis unit 150: design unit

Claims (9)

In the energy generation system for smart-farms,
a first input unit for receiving past climate data provided by the Korea Meteorological Administration;
a second input unit that receives measurement data on the amount of power consumption from a plurality of meters installed in the irrigation system of the smart farm;
After receiving the climate data from the first input unit and predicting the amount of power generation for a predetermined renewable energy generation system using the climate data, the predicted A power generation analysis unit for deriving a pattern of power generation;
A load analysis unit that receives the measurement data from the second input unit and uses the measurement data to derive a pattern of the measured load for each time zone, weather, and day of the week, which are characteristics necessary for operating the smart farm; and
Including a design unit for designing the number of installed units of the renewable energy generation system by comparing and analyzing the power generation pattern and the load pattern,
The generation amount analysis unit
After extracting new renewable energy generation information that affects the generation output of wind energy and solar energy from the climate data, the wind energy generation amount and the solar energy generation amount are respectively predicted using the new and renewable energy generation information, and the prediction After predicting the total amount of power generation by adding the amount of wind energy generation and solar power generation,
The design department
Determine the number of installed wind power generation systems and solar power generation systems suitable for the corresponding smart-farm by comparing the power generation pattern for each installed number of the wind power generation system and the solar power generation system and the load pattern, Smart-farm, characterized in that for determining the number of installations of the wind power generation system and the photovoltaic power generation system to generate the total amount of power generation per day to the extent that a predetermined amount of power can be accumulated by comparing the predicted power generation with the total load per day energy generation system. The method of claim 1, wherein the first input unit
An energy generation system for smart-farm, characterized in that it is implemented as a communication unit that provides an interface with a communication network and receives predetermined past climate data by accessing the Korea Meteorological Administration through the communication network. The method of claim 1, wherein the first input unit
An energy generation system for smart-farm, characterized in that it provides an interface with a user and receives predetermined past climate data by a user's manipulation signal. The method of claim 1, wherein the second input unit
Smart-farm energy generation system, characterized in that for measuring the amount of active power per minute from the meters. The method of claim 1, wherein the generation amount analysis unit
an information extraction unit for extracting new and renewable energy generation information that affects a new and renewable energy generation output from the climate data; and
After predicting the corresponding new and renewable energy generation using the extracted new and renewable energy generation information, and then adding the predicted at least one new and renewable energy generation amount to predict the total generation amount smart characterized in that it comprises a power generation amount prediction unit -Energy generation system for farm. In the construction method of the energy generation system for smart-farm,
Predicting the amount of power generation for at least one renewable energy generation system using past climate data provided by the Korea Meteorological Administration, extracting new and renewable energy generation information that affects the generation output of wind energy and solar energy from the climate data Afterwards, a power generation amount prediction step of predicting wind energy power generation and solar energy power generation using the new and renewable energy power generation information, respectively;
Analyze the predicted power generation amount by time zone, weather, and day of the week, which are characteristics required for smart-farm operation, to derive the pattern of the power generation amount, and predict the total power generation amount by adding the predicted wind energy power generation amount and solar energy power generation amount, and then wind power A power generation pattern derivation step of deriving a power generation amount pattern for each installed number of power generation systems and photovoltaic power generation systems;
A load measurement step of measuring the load consumed in the smart-farm using a meter installed in the irrigation system of the smart-farm;
A load pattern derivation step of deriving a pattern of the load by analyzing the measured load for each time zone, weather, and day of the week, which are characteristics required for smart-farm operation; and
The generation pattern and the load pattern are compared and analyzed to design the number of installed renewable energy generation systems, and the generation pattern for each installed number of the wind power generation system and the solar power generation system is compared with the load pattern to match the corresponding smart -Determine the number of installed wind power generation systems and solar power generation systems suitable for the farm, including a design step of determining the number of installed wind power generation systems and solar power generation systems so as to generate a total amount of power generation per day A method of constructing an energy generation system for smart-farm. The method of claim 6, wherein the power generation amount prediction step
a wind power generation information extraction step of extracting wind power generation information affecting an output of wind power generation from the climate data;
A wind power generation amount estimation step of estimating the wind power generation amount using the wind power generation information;
a photovoltaic information extraction step of extracting photovoltaic information that affects photovoltaic output from the climate data;
A photovoltaic power generation amount estimation step of estimating the photovoltaic power generation amount using the photovoltaic power generation information; and
A method of constructing an energy generation system for smart-farm, characterized in that it comprises a total generation amount prediction step of predicting the total generation amount by adding the predicted value of the wind power generation amount and the predicted value of the solar power generation amount. The method of claim 6, wherein the load measuring step
A method of constructing an energy generation system for smart-farm, characterized in that for measuring the amount of active power per minute using the meter. The method of claim 6, wherein the design step
By comparing the total power generation forecast on a daily basis with the total load on a daily basis,
A method of constructing an energy generation system for smart-farm, characterized in that for designing the number of installed renewable energy generation systems to generate the total amount of power generation per day to the extent that a predetermined power accumulation is possible.

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