WO2017221462A1 - Dispositif d'estimation de quantité de production d'énergie pour cellules solaires, procédé d'estimation de quantité de production d'énergie et programme d'estimation de quantité de production d'énergie - Google Patents

Dispositif d'estimation de quantité de production d'énergie pour cellules solaires, procédé d'estimation de quantité de production d'énergie et programme d'estimation de quantité de production d'énergie Download PDF

Info

Publication number
WO2017221462A1
WO2017221462A1 PCT/JP2017/007073 JP2017007073W WO2017221462A1 WO 2017221462 A1 WO2017221462 A1 WO 2017221462A1 JP 2017007073 W JP2017007073 W JP 2017007073W WO 2017221462 A1 WO2017221462 A1 WO 2017221462A1
Authority
WO
WIPO (PCT)
Prior art keywords
amount
solar cell
power generation
conversion efficiency
solar radiation
Prior art date
Application number
PCT/JP2017/007073
Other languages
English (en)
Japanese (ja)
Inventor
崇志 岡田
Original Assignee
パナソニックIpマネジメント株式会社
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by パナソニックIpマネジメント株式会社 filed Critical パナソニックIpマネジメント株式会社
Priority to JP2018523306A priority Critical patent/JP6624474B2/ja
Publication of WO2017221462A1 publication Critical patent/WO2017221462A1/fr

Links

Images

Classifications

    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02SGENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
    • H02S10/00PV power plants; Combinations of PV energy systems with other systems for the generation of electric power
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/50Photovoltaic [PV] energy

Definitions

  • the present invention relates to a power generation amount estimation device for a solar cell, a power generation amount estimation method, and a power generation amount estimation program for estimating the power generation amount of a solar cell based on the amount of solar radiation and the conversion efficiency.
  • the energy conversion efficiency (hereinafter simply referred to as conversion efficiency) is a value obtained by dividing the output power (W) of the solar cell by the incident light energy (W).
  • the conversion efficiency of a solar cell is temperature dependent (see, for example, Patent Document 1). Furthermore, the conversion efficiency of the solar cell also depends on the irradiance and incident angle of sunlight.
  • the conversion efficiency of the solar cell under the actual driving environment is lower than the conversion efficiency derived based on the JIS 8913 standard due to the effects of the irradiance of sunlight, the incident angle, and the dependence on the temperature of the solar cell. Therefore, the amount of power generation actually measured is lower than the amount of power generation calculated by multiplying the conversion efficiency on the specification by the amount of solar radiation.
  • the amount of power generation actually measured is derived as one value entangled with effects such as the irradiance of sunlight, the incident angle, and the temperature of the solar cell, the dependency on the irradiance, the incident angle, and the temperature Can not separate. Therefore, it is difficult to accurately analyze the factors that the irradiance, incident angle, and temperature give to the amount of power generation.
  • the present invention has been made in view of these circumstances, and an object thereof is to provide a solar cell power generation amount estimation device, power generation amount estimation method, and power generation amount estimation program capable of precisely analyzing factors affecting the power generation amount of a solar cell. To provide.
  • the power generation amount estimation device for a solar cell includes a data acquisition unit that acquires measurement data of the amount of solar radiation incident on the solar cell; A first dependency between the conversion efficiency and the amount of solar radiation, a first correction process of the conversion efficiency using the acquired amount of solar radiation, and the conversion efficiency of the solar cell and the incident angle of sunlight which are derived in advance
  • a conversion efficiency correction unit that executes at least one of the second dependence processing of the second conversion processing using the incident angle estimated based on the sun trajectory, the acquired solar radiation amount, and
  • a power generation amount estimation unit configured to estimate a power generation amount of the solar cell based on the corrected conversion efficiency.
  • FIGS. 3 (a) to 3 (f) are diagrams showing an example of direct solar radiation and scattered solar radiation. It is a flowchart which shows the flow of the electric power generation amount estimation process using a 2nd electric power generation amount estimation model.
  • FIGS. 5 (a) and 5 (b) are graphs showing the amount of power generation of the solar cell installed at a certain place in the Kinki region.
  • FIGS. 6 (a) and 6 (b) are graphs showing the ratio of the weather in the installation place of the solar cell in one year, and the ratio of the estimated power generation by another weather in the one year.
  • FIGS. 7 (a) to 7 (d) are graphs showing the estimated power generation amount, incident angle loss amount, irradiance loss amount, and temperature loss amount of the solar cell in one year classified by weather. It is a figure which shows the graph which shows the ratio of the power generation estimated according to the season in 1 year of a solar cell.
  • FIGS. 9 (a) to 9 (d) are graphs showing the estimated power generation amount, incident angle loss amount, irradiance loss amount, and temperature loss amount of the solar cell in one year classified by season.
  • FIG. 1 is a diagram showing a connection relationship of a power generation amount estimation device 10 for estimating a power generation amount generated by a solar cell 1.
  • the power generated by the solar cell 1 is output to the power converter 2.
  • the power conversion device 2 is a power conditioner system (PCS) that converts DC power input from the solar cell 1 into AC power and outputs the AC power to the grid 3.
  • the power conversion device 2 may supply the converted AC power to a load (not shown).
  • PCS power conditioner system
  • Power converter 2 includes a boost chopper (not shown) and an inverter (not shown).
  • the boost chopper performs MPPT (Maximum Power Point Tracking) control so that the power generated by the solar cell 1 becomes the maximum power point (optimum operating point).
  • MPPT Maximum Power Point Tracking
  • the operating point voltage is changed with a predetermined step width to search for the maximum power point, and control is performed so that the output power of the solar cell 1 maintains the maximum power point.
  • the inverter converts the DC power after MPPT control into AC power and outputs it to the grid 3.
  • the power conversion device 2 measures the input voltage and the input current, and multiplies the two to measure the amount of power generation of the solar cell 1. In the present embodiment, the measured power generation amount is output to the measurement data storage device 4.
  • a solar radiation sensor 1a In the vicinity of the solar cell 1, a solar radiation sensor 1a is installed parallel to the horizontal plane. For example, a full ephemeris can be used as the sunshine sensor 1a.
  • a temperature sensor 1 b is installed on the back of the panel of the solar cell 1.
  • a thermocouple can be used for the temperature sensor 1b.
  • a thermistor may be incorporated in the panel of the solar cell 1.
  • the temperature sensor 1 b measures the temperature of the solar cell 1 (hereinafter referred to as a drive temperature), and outputs the measured drive temperature to the measurement data storage device 4.
  • the measurement data storage device 4 stores measurement data of the amount of solar radiation input from the solar radiation sensor 1a and the drive temperature input from the temperature sensor 1b.
  • a general data logger can be used as the measurement data storage device 4.
  • the measurement data storage device 4 may be installed independently of the power conversion device 2 or may be incorporated in the power conversion device 2.
  • the measurement data storage device 4 stores measurement data of the amount of solar radiation and the driving temperature that are input at predetermined intervals (for example, in one minute units).
  • predetermined intervals for example, in one minute units.
  • actual power generation amount An example of storage by the measurement data storage device 4 is assumed. Note that the storage of the measured power generation amount in the measurement data storage device 4 may be omitted.
  • FIG. 1 shows an example in which the measurement data storage device 4 and the power generation amount estimation device 10 are connected to the same network 5.
  • the Internet is assumed as the network 5 in this specification, a dedicated line may be used.
  • FIG. 2 is a diagram showing a configuration example of the power generation amount estimation device 10 according to the embodiment of the present invention.
  • a general information processing apparatus can be used as the power generation amount estimation apparatus 10.
  • a PC a PC, a server, a tablet, a smartphone, or the like can be used.
  • the power generation amount estimation apparatus 10 includes a communication unit 11, a media insertion unit 12, a control unit 13, a console unit 14, and a storage unit 15.
  • the control unit 13 includes a data acquisition unit 131, a conversion efficiency correction unit 132, an incident angle estimation unit 133, a direct dispersion separation unit 134, a power generation amount estimation unit 135, and a loss amount estimation unit 136.
  • the configuration of the control unit 13 can be realized by cooperation of hardware resources and software resources, or hardware resources only. As hardware resources, analog elements, microcomputers, DSPs, ROMs, RAMs, FPGAs, and other LSIs can be used. Programs such as operating systems and applications can be used as software resources.
  • the storage unit 15 stores various programs and various data. The storage unit 15 can use a ROM and a RAM.
  • the communication unit 11 executes communication processing of data transmitted and received via the network 5.
  • a removable media for example, a memory card, an optical disk, a removable HDD, a removable SSD
  • data is read from the removable media. Or write data to removable media.
  • the measurement data in the measurement data storage device 4 is written to a removable medium at the installation location of the solar cell 1, and the measurement data is read into the power generation amount estimation device 10 by inserting the removable medium into the media insertion unit 12. Can.
  • This method is used when the measurement data storage device 4 is not connected to the network 5 and is operating in a stand-alone manner.
  • the data acquisition unit 131 acquires measurement data of the solar radiation amount and the drive temperature of the solar cell 1 from the communication unit 11 or the media insertion unit 12. When the user manually inputs the measurement data from the console unit 14, the measurement data is acquired from the console unit 14.
  • the amount of power generation of the solar cell 1 can be measured based on the voltage and current input from the solar cell 1 to the power conversion device 2. Since this measurement method measures the physical quantity after being converted from light energy to electrical energy, it is basically impossible to analyze light or heat. Since the values of voltage and current to be measured are values after the combined factors of light and heat are involved, exact factor analysis can not be performed.
  • the amount of power generation of the solar cell 1 is estimated based on the light energy and the driving temperature before being converted into electric energy.
  • the total solar radiation amount and the driving temperature of the solar cell 1 are used as site data (installation condition data). Irradiance dependency, incident angle dependency, and temperature dependency are used as device characteristics of the solar cell 1.
  • JIS8912 and JIS8913 standards are used as standard standards.
  • the solar cell module is irradiated with light of 1 sun (1 kW / m 2 ) vertically at a temperature environment of 25 ° using a solar simulator, and the output voltage of the solar cell module The output current is measured to determine the conversion efficiency of the solar cell module.
  • a solar simulator device for irradiating light of the conditions is used as a simulated solar light source.
  • each solar cell manufacturer describes the conversion efficiency obtained by the evaluation in a catalog or a specification. Hereinafter, this conversion efficiency is referred to as conversion efficiency under standard conditions.
  • the conversion efficiency under standard conditions does not take into account the dependence on irradiance, angle of incidence and temperature. Therefore, in the present embodiment, the dependence of the conversion efficiency of the solar cell 1 on the irradiance, incident angle, and temperature is considered.
  • the dependence of the conversion efficiency of the solar cell 1 on the irradiance is mainly due to the structure of the photodiode (PN structure, PIN structure, etc.) and the material constituting the solar cell module.
  • the dependence of the conversion efficiency of the solar cell 1 on the incident angle is mainly due to the characteristics of the antireflective film (AR coat) attached to the panel surface and the optical structure of the solar cell module.
  • the verifier measures the output voltage and output current of the solar cell module each time the irradiance is changed using a solar simulator, and the solar cell module Find the conversion efficiency of For example, a filter is interposed between the light source and the solar cell module to adjust the illuminance emitted to the solar cell module.
  • a filter is interposed between the light source and the solar cell module to adjust the illuminance emitted to the solar cell module.
  • the value of the conversion efficiency after the normalization is referred to as an irradiation dependent coefficient E (I) of the conversion efficiency.
  • an approximate curve is derived with the irradiance I as an explanatory variable and the illuminance dependence coefficient E (I) as a target variable. For example, it approximates by the quartic function shown in the following (Formula 1). Basically, it becomes a downward-sloping curve in which the illuminance dependence coefficient E (I) decreases as the irradiance I decreases.
  • the verifier changes the incident angle and measures the output voltage and output current of the solar cell module each time using a solar simulator. Determine the conversion efficiency of the module. For example, using a jig capable of adjusting the angle of the solar cell module, the relative angle of the solar cell module with respect to the light source is adjusted. A jig capable of adjusting the angle of the light source may be used.
  • the conversion efficiency after this normalization is referred to as an incident angle dependent coefficient E ( ⁇ ) of the conversion efficiency.
  • an approximate curve with the incident angle ⁇ as an explanatory variable and the incident angle dependent coefficient E ( ⁇ ) as an objective variable is derived. For example, it approximates by the quartic function shown in the following (Formula 2). Basically, it becomes a downward-sloping curve in which the incident angle dependent coefficient E ( ⁇ ) decreases as the incident angle ⁇ increases.
  • the verifier measures the output voltage and output current of the solar cell module each time the temperature is changed using a solar simulator, Find conversion efficiency. For example, the solar cell module is heated by a heater, and the heating temperature is adjusted.
  • this conversion efficiency after normalization is referred to as a temperature-dependent coefficient f (t) of conversion efficiency.
  • an approximate straight line is derived with the temperature t as an explanatory variable and the temperature dependent coefficient f (t) as an objective variable. For example, it approximates with a linear function shown in the following (formula 3). Basically, the temperature dependence coefficient f (t) decreases as the temperature t rises, and the temperature becomes a downward straight line. The temperature t is also used outside the temperature range used in the measurement.
  • the temperature belonging to the thermal field is evaluated by an external evaluation organization such as JET, but the irradiance and incident angle belonging to the optical field are evaluated It has not been.
  • the total solar radiation (direct sunlight + scattered solar radiation) under actual use environment shows different values depending on the weather, longitude / latitude, and time.
  • the conversion efficiency ⁇ (I, ⁇ , t) of the solar cell 1 is determined using the following (Equation 4).
  • measurement data of the amount of solar radiation can be used.
  • measurement data of the drive temperature can be used.
  • the incident angle ⁇ can be calculated based on the installation position (longitude and latitude) of the solar cell 1, the date and time, and the installation angle of the light receiving surface of the solar cell 1.
  • the sun's orbit is calculated based on longitude, latitude, and date.
  • the position (altitude / orientation) of the sun at the measurement time of the solar radiation amount and the driving temperature is specified. From the relationship between the specified position of the sun and the installation angle of the light receiving surface of the solar cell 1, the incident angle ⁇ at each measurement time is calculated.
  • the total solar radiation can be separated into direct solar radiation and scattered solar radiation (also called sky solar radiation).
  • the direct solar radiation amount is light which directly reaches the solar cell 1 from the sun and has a directional component.
  • the directional component changes with the position of the sun moving with time.
  • the amount of scattered solar radiation is light scattered by particles in the atmosphere such as clouds, and is light reaching the solar cell 1 from all directions.
  • the amount of scattered solar radiation has no directional component.
  • FIGS. 3 (a) to 3 (f) are diagrams showing an example of direct solar radiation and scattered solar radiation.
  • Gray arrows indicate direct solar radiation and black arrows indicate scattered solar radiation.
  • the thickness of the arrow indicates the absolute amount of solar radiation.
  • the direct solar radiation decreases in the amount of solar radiation in the morning and in the evening when the altitude of the sun S decreases. In the morning and evening, the angle of incidence of direct sunlight increases. The incident angle is determined by the relative relationship with the light receiving surface of the solar cell 1. Therefore, if the movable mechanism capable of adjusting the direction of the light receiving surface of the solar cell 1 is used, it is possible to prevent the incident angle from being largely deviated from the vertical.
  • the amount of scattered solar radiation is largely influenced by the position and amount of the cloud C, and the influence by the position of the sun S is relatively small.
  • the power generation amount of the solar cell 1 is obtained separately from the power generation amount based on the direct solar radiation amount and the power generation amount based on the scattered solar radiation amount.
  • the measured total solar radiation amount Ig into the direct solar radiation amount Ib and the scattered solar radiation amount Id.
  • Erbs model shown in the following (Formula 6) and (Formula 7) can be used.
  • Kt is sunny index can be calculated by global solar radiation Ig / air outside global solar radiation Ig 0.
  • the conversion efficiency ⁇ ⁇ of the solar cell 1 is divided into the conversion efficiency ⁇ d for the scattering component and the conversion efficiency ⁇ b for the direct achievement component as shown in the following (Equation 8) and (Equation 9) .
  • the term E ( ⁇ ) is eliminated because there is no directional component in the diffuse solar radiation.
  • the conversion efficiency ⁇ d (I, t) for scattered components, the amount of scattered solar radiation Id, the conversion efficiency ⁇ b (I, ⁇ , t) for direct achievement, the amount of direct solar radiation Ib, the total light reception area C Based on the equation (10) below, the power generation amount W can be estimated.
  • the power generation amount W C * ⁇ Id * d d (I, t) + Ib * b b (I, ⁇ , t) ⁇ (10)
  • the power generation amount WWm of one day can be estimated by accumulating the power generation amount W of every minute for one day
  • the power generation amount WWd of one year can be estimated by accumulating the power generation amount WWm of one day for one year.
  • FIG. 4 is a flowchart showing a flow of power generation amount estimation processing using the second power generation amount estimation model.
  • the data acquisition unit 131 acquires measurement data of the total solar radiation amount and the drive temperature (S10).
  • the incident angle estimation unit 133 calculates the solar orbit based on the lightness / latitude of the installation position of the solar cell 1 and the date (S11).
  • the incident angle estimation part 133 estimates an incident angle based on the calculated solar orbit, measurement time, and the installation angle of the solar cell 1 (S12).
  • the direct scattering separation unit 134 separates the total solar radiation amount into a direct solar radiation amount and a scattered solar radiation amount using a predetermined direct scattering separation model (for example, an Erbs model) (S13).
  • a predetermined direct scattering separation model for example, an Erbs model
  • the conversion efficiency correction unit 132 corrects the conversion efficiency under the standard conditions using the amount of scattered solar radiation, the illuminance-dependent coefficient, the driving temperature, and the temperature-dependent coefficient to calculate the conversion efficiency of the scattered solar radiation (S14). In addition, the conversion efficiency correction unit 132 corrects the conversion efficiency under the standard conditions using the amount of direct solar radiation, the illuminance dependency coefficient, the incident angle, the incident angle dependent coefficient, the driving temperature, and the temperature dependent coefficient to convert direct sunlight. The efficiency is calculated (S15).
  • the power generation amount estimation unit 135 estimates the power generation amount of the solar cell 1 based on the scattered solar radiation amount, the scattered solar radiation conversion efficiency, the direct solar radiation amount, the direct solar radiation conversion efficiency, and the light receiving area of the solar cell 1 S16).
  • the loss amount estimation unit 136 estimates the loss amount due to the solar radiation amount, the incident angle or the drive temperature of the estimated power generation amount (S17). As shown in the following (formula 11), the loss amount LI caused by the amount of solar radiation is the amount of power generation calculated by the above (formula 10), the term of E (Id) in the above (formula 8), and the above (formula 9) It can be estimated by the difference from the power generation amount calculated with the term of E (Ib) of 1.
  • the amount of loss L ⁇ caused by the incident angle is the amount of generated power calculated by the above (formula 10) and the amount of generated power calculated as the term E ( ⁇ ) of the above (formula 9) is 1.
  • the loss amount Lt caused by the driving temperature is calculated by the above (Equation 10), and the terms of f (t) of the (Equation 8) and (Equation 9) It can estimate by the difference with the electric power generation amount calculated as.
  • the incident angle loss amount L ⁇ , irradiance loss amount LI and temperature loss amount Lt for one day are calculated by accumulating the incident angle loss amount L ⁇ , irradiance loss amount LI and temperature loss amount Lt in one-minute units, respectively. It is calculated. In addition, the incident angle loss L ⁇ , the irradiance loss LI, and the temperature loss Lt for one year are respectively accumulated for the incident angle loss L ⁇ , the irradiance loss LI, and the temperature loss Lt for one day. Calculated by
  • FIG. 5A shows an estimated power generation amount, incident angle loss amount, irradiance loss amount, temperature loss amount, and estimated maximum power generation amount for a given day.
  • the estimated power generation amount is a value calculated using the second power generation amount estimation model.
  • the estimated maximum power generation amount is a value obtained by adding the estimated power generation amount, the incident angle loss amount, the irradiance loss amount, and the temperature loss amount. That is, the amount of power that can be generated when the solar cell 1 is under standard conditions.
  • the ratio of the incident angle loss to the estimated maximum power generation is about 0%, the ratio of the irradiance loss to the estimated maximum power generation is about 2%, and the ratio of the temperature loss to the estimated maximum power generation is about 5% is there. Therefore, it can be seen that the loss of the amount of power generation on this day is the largest factor of the driving temperature, next the largest factor of the irradiance, and the smallest factor of the incident angle.
  • FIG. 5 (b) shows an estimated power generation amount, incident angle loss amount, irradiance loss amount, temperature loss amount, and estimated maximum power generation amount for a given year.
  • the ratio of the incident angle loss to the estimated maximum power generation is about 0%
  • the ratio of the irradiance loss to the estimated maximum power generation is about 3%
  • the ratio of the temperature loss to the estimated maximum power generation is about 4% is there.
  • the same trend is seen as the daily trend.
  • comparison verification is performed between the actually measured power generation amount measured by the power conversion device 2 of the solar cell 1 by time and the estimated power generation amount by time estimated using the second power generation amount estimation model.
  • the correlation coefficient between the two was 0.999 or more. This indicates that the three parameters of the incident angle, the irradiance and the driving temperature can almost explain various fluctuation factors in the real environment. That is, it is shown that the actual power generation amount can be estimated almost accurately from the total solar radiation amount and the driving temperature by using the second power generation amount estimation model.
  • the second power generation amount estimation model it is possible to individually and quantitatively analyze how much the three parameters that cause fluctuation in the actual environment affect the loss of the power generation amount. In the following, we analyze three parameters that take into consideration the influence of weather factors and seasonal factors.
  • FIGS. 6 (a) and 6 (b) are graphs showing the ratio of the weather in the installation place of the solar cell 1 in one year and the ratio of the estimated amount of power generation according to the weather in one year.
  • the weather is classified into four: clear, fine, semi-fine, and cloudy.
  • the ratio of the cloud to the entire sky is classified as 0-20% clear, 20-40% clear, 40-70% quasi-clear, and 70-100% cloudy.
  • FIGS. 7 (a) to 7 (d) are graphs showing the estimated power generation amount, incident angle loss amount, irradiance loss amount, and temperature loss amount of the solar cell 1 in one year classified by weather. .
  • Fig. 7 (a) shows the cumulative power generation and loss amount on a clear day
  • Fig. 7 (b) shows the cumulative power generation and loss amount on a fine day
  • Fig. 7 (c) shows the cumulative power generation amount on the near fine day ⁇
  • the amount of loss is shown in Fig. 7 (d).
  • the balance of the loss factor changes with the weather. For example, on clear, fine and semi-clear days, the main factor of the loss is the driving temperature, while on cloudy days, the main factor is the irradiance. Also, it is understood that the incident angle is the smallest as a loss factor regardless of the weather.
  • FIG. 8 is a graph showing the ratio of the estimated amount of power generation by season in the year of the solar cell 1. In this example, March to May is classified as spring, June to August as summer, September to November as autumn, and December to February as winter.
  • FIG. 9 (a) to 9 (d) are graphs showing the estimated power generation amount, incident angle loss amount, irradiance loss amount, and temperature loss amount of the solar cell 1 in one year classified by season .
  • Fig. 9 (a) shows the accumulated power generation and loss in spring
  • Fig. 9 (b) shows the accumulated power and loss in summer
  • Fig. 9 (c) shows the accumulated power and loss in autumn
  • d) shows the accumulated power generation and loss in winter, respectively.
  • the balance of the loss factor changes with the weather. The overall trend is similar to that by weather, but it can be seen that in winter there is no loss due to temperature factors.
  • the present embodiment As described above, according to the present embodiment, three main parameters (irradiance, incident angle, and temperature), which become the fluctuation factor of the real environment, are reflected on the basis of sunlight (the amount of total solar radiation).
  • the power generation amount estimation model it is possible to calculate the power generation amount extremely close to the measured power generation amount of the solar cell 1.
  • the dependence of irradiance, incident angle, and temperature on the amount of power generation can be separated, and sophisticated factor analysis becomes possible. In this respect, these factors can not be separated from the voltage and current values after these factors are intertwined, and sophisticated factor analysis is difficult.
  • factor analysis is possible for the loss amount of the solar cell 1, it is possible to grasp the strengths and weaknesses of the solar cell 1, and to highlight differences between product appeal points, improvement points, and other companies' products. it can. Also, by analyzing the irradiance, the incident angle and the loss due to the temperature according to the weather, it is possible to emboss what kind of weather the solar cell 1 is strong against and what kind of weather is weak. The same analysis can be performed by season.
  • the illumination dependency coefficient E (I), the incident angle dependency coefficient E ( ⁇ ), and the temperature dependency coefficient f (t) for correcting the conversion efficiency ⁇ 0 under standard conditions are functions (fourth order Although an example of derivation using a function or a linear function is shown, it may be derived by referring to a table.
  • the conversion efficiency ⁇ 0 under the standard conditions is corrected using three coefficients, the illuminance dependent coefficient E (I), the incident angle dependent coefficient E ( ⁇ ) and the temperature dependent coefficient f (t). , And may be corrected using at least one of the three coefficients. For example, even if the estimated amount of power generation by using the conversion efficiency obtained by correcting the conversion efficiency eta 0 under standard conditions using only illuminance dependence coefficient E (I), accept the conversion efficiency eta 0 under standard conditions The estimation accuracy is improved compared to the case of estimating the power generation amount.
  • the power generation amount is estimated using the conversion efficiency in which the conversion efficiency ⁇ 0 under the standard conditions is corrected using the illuminance dependent coefficient E (I) and the temperature dependent coefficient f (t), It is possible to estimate the measured power generation with fairly high accuracy.
  • the embodiment may be specified by the following items.
  • the data acquisition unit (131) further acquires measurement data of the temperature of the solar cell (1)
  • the conversion efficiency correction unit (132) includes the first correction process, the second correction process, and the conversion efficiency of the solar cell (1) and the temperature of the solar cell (1) derived in advance.
  • the data acquisition unit (131) acquires measurement data of the total amount of solar radiation from the global actinometer, This power generation amount estimation device (10)
  • the system further comprises a direct scattering separation unit (134) that separates the acquired total solar radiation amount into a scattered solar radiation amount and a direct solar radiation amount using a predetermined separation formula,
  • the conversion efficiency correction unit (132) The conversion efficiency of the solar cell (1) against scattered solar radiation is corrected based on the first dependency and the separated scattered solar radiation, and the third dependency and the acquired solar cell (1) Correcting the conversion efficiency of the solar cell (1) to scattered solar radiation based on the temperature of
  • the conversion efficiency for direct solar radiation of the solar cell (1) is corrected based on the first dependency and the separated direct solar radiation, and the incident estimated based on the second dependency and the solar orbit
  • the conversion efficiency for direct solar radiation of the solar cell (1) is corrected based on the angle, and the solar cell (1) is corrected based on the third dependency and the acquired temperature of the solar cell (1) Correct the conversion efficiency for direct solar radiation,
  • the power generation amount estimation unit (135)
  • the power generation amount of the solar cell (1) according to item 2 wherein the power generation amount of the solar cell (1) is estimated based on the product of the conversion efficiency of the solar cell (1) with respect to direct sunlight.
  • Quantity estimation device (10) According to this, it is possible to construct a sophisticated estimation model that corrects the conversion efficiency for each of the scattered solar radiation component and the direct solar radiation component.
  • the power generation amount estimation apparatus of the solar cell (1) according to item 2 or 3, characterized in that at least one of the processes for estimating the amount of loss caused by the temperature of the solar cell (1) based on (10).
  • the present invention can be used to estimate the amount of power generation of a solar cell.

Landscapes

  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Photovoltaic Devices (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

Une unité d'acquisition de données 131 obtient des données de mesure pour la quantité de rayonnement solaire incidente aux cellules solaires. Une unité de correction de rendement de conversion 132 exécute au moins une première correction de rendement de conversion ou une seconde correction de rendement de conversion, ladite première correction utilisant l'insolation obtenue et une première relation de dépendance entre un rendement de conversion de cellule solaire pré-dérivé et l'insolation, et ladite seconde correction utilisant : une seconde relation de dépendance entre le rendement de conversion de cellule solaire pré-dérivé et l'angle d'incidence de la lumière solaire ; et un angle d'incidence estimé sur la base de l'orbite solaire. Une unité d'estimation de quantité de production d'énergie 135 estime la quantité de production d'énergie de la cellule solaire, sur la base de l'insolation obtenue et du rendement de conversion corrigé.
PCT/JP2017/007073 2016-06-21 2017-02-24 Dispositif d'estimation de quantité de production d'énergie pour cellules solaires, procédé d'estimation de quantité de production d'énergie et programme d'estimation de quantité de production d'énergie WO2017221462A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP2018523306A JP6624474B2 (ja) 2016-06-21 2017-02-24 太陽電池の発電量推定装置、発電量推定方法、及び発電量推定プログラム

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
JP2016122556 2016-06-21
JP2016-122556 2016-06-21

Publications (1)

Publication Number Publication Date
WO2017221462A1 true WO2017221462A1 (fr) 2017-12-28

Family

ID=60784766

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/JP2017/007073 WO2017221462A1 (fr) 2016-06-21 2017-02-24 Dispositif d'estimation de quantité de production d'énergie pour cellules solaires, procédé d'estimation de quantité de production d'énergie et programme d'estimation de quantité de production d'énergie

Country Status (2)

Country Link
JP (1) JP6624474B2 (fr)
WO (1) WO2017221462A1 (fr)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111200397A (zh) * 2018-11-16 2020-05-26 艾思特能源有限公司 太阳能光电模块的仿真效能检测方法
KR20200112219A (ko) * 2019-03-21 2020-10-05 국민대학교산학협력단 파장 선택적 필터를 이용한 pvt 시스템의 효율 예측 장치 및 그 방법
CN112098711A (zh) * 2020-09-24 2020-12-18 中国人民解放军63920部队 基于稀疏遥测的月球车帆板功率衰减确定方法及装置

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003197945A (ja) * 2001-12-27 2003-07-11 Panahome Corp 太陽光発電装置
JP2006093176A (ja) * 2004-09-21 2006-04-06 Atsushi Iga 太陽光発電システムの発電量の推定・評価方法
JP2013150489A (ja) * 2012-01-23 2013-08-01 Kyocera Corp 発電量予測装置、発電量予測補正方法、および自然エネルギー発電システム

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
FR2976405B1 (fr) * 2011-06-08 2014-04-04 Commissariat Energie Atomique Dispositif de generation d'energie photovoltaique avec gestion individuelle des cellules

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003197945A (ja) * 2001-12-27 2003-07-11 Panahome Corp 太陽光発電装置
JP2006093176A (ja) * 2004-09-21 2006-04-06 Atsushi Iga 太陽光発電システムの発電量の推定・評価方法
JP2013150489A (ja) * 2012-01-23 2013-08-01 Kyocera Corp 発電量予測装置、発電量予測補正方法、および自然エネルギー発電システム

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
NARIHITO OKADA ET AL.: "The diagnostic method of generated power considering loss factors on a PV module", THE JOURNAL OF THE INSTITUTE OF ELECTRONICAL INSTALLATION ENGINEERS OF JAPAN, vol. 25, no. 8, August 2005 (2005-08-01), pages 658 - 666, XP055444081 *

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111200397A (zh) * 2018-11-16 2020-05-26 艾思特能源有限公司 太阳能光电模块的仿真效能检测方法
CN111200397B (zh) * 2018-11-16 2021-08-10 艾思特能源有限公司 太阳能光电模块的仿真效能检测方法
KR20200112219A (ko) * 2019-03-21 2020-10-05 국민대학교산학협력단 파장 선택적 필터를 이용한 pvt 시스템의 효율 예측 장치 및 그 방법
KR102194625B1 (ko) 2019-03-21 2020-12-23 국민대학교산학협력단 파장 선택적 필터를 이용한 pvt 시스템의 효율 예측 장치 및 그 방법
CN112098711A (zh) * 2020-09-24 2020-12-18 中国人民解放军63920部队 基于稀疏遥测的月球车帆板功率衰减确定方法及装置
CN112098711B (zh) * 2020-09-24 2024-01-23 中国人民解放军63920部队 基于稀疏遥测的月球车帆板功率衰减确定方法及装置

Also Published As

Publication number Publication date
JP6624474B2 (ja) 2019-12-25
JPWO2017221462A1 (ja) 2019-03-22

Similar Documents

Publication Publication Date Title
Kaplani et al. Thermal modelling and experimental assessment of the dependence of PV module temperature on wind velocity and direction, module orientation and inclination
Andrews et al. The effect of spectral albedo on amorphous silicon and crystalline silicon solar photovoltaic device performance
De Soto et al. Improvement and validation of a model for photovoltaic array performance
Padovan et al. Measurement and modeling of solar irradiance components on horizontal and tilted planes
Beringer et al. Case study showing that the tilt angle of photovoltaic plants is nearly irrelevant
Mulcué-Nieto et al. A new model to predict the energy generated by a photovoltaic system connected to the grid in low latitude countries
JP6573809B2 (ja) 太陽電池モジュールのシミュレーション
JP6624475B2 (ja) 太陽電池の発電量予測装置、発電量予測方法、及び発電量予測プログラム
Gu et al. Experimental investigation of the bifacial photovoltaic module under real conditions
Andrews et al. Improved parametric empirical determination of module short circuit current for modelling and optimization of solar photovoltaic systems
JP6624474B2 (ja) 太陽電池の発電量推定装置、発電量推定方法、及び発電量推定プログラム
Lurwan et al. Predicting power output of photovoltaic systems with solar radiation model
Virtuani et al. A simple approach to model the performance of photovoltaic solar modules in operation
Marańda et al. Extraction of thermal model parameters for field-installed photovoltaic module
Kawagoe et al. Outdoor direct STC performance measurement of PV modules based on a sun-shading technique
Quinn Energy gleaning for extracting additional energy and improving the efficiency of 2-axis time-position tracking photovoltaic arrays under variably cloudy skies
Silva et al. Spectral reflectance patterns of photovoltaic modules and their thermal effects
Solyali et al. A Simulation Model Based on Experimental Data to Determine the Optimal Tilt Angle for a Fixed Photovoltaic Panel
De la Breteque Thermal aspects of c-Si photovoltaic module energy rating
Ransome et al. How to choose the best empirical model for optimum energy yield predictions
Mraoui et al. Optimum tilt angle of a photovoltaic system: Case study of Algiers and Ghardaia
Li et al. Development of a PV performance model for power output simulation at minutely resolution
Ya'acob et al. Modelling of photovoltaic array temperature in a tropical site using generalized extreme value distribution
Patel et al. The impact of water surface albedo on incident solar insolation of a collector surface
Maru et al. Model based optimization of tilt angle for solar PV panels in Jodhpur

Legal Events

Date Code Title Description
ENP Entry into the national phase

Ref document number: 2018523306

Country of ref document: JP

Kind code of ref document: A

121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 17814934

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 17814934

Country of ref document: EP

Kind code of ref document: A1