JP2009106132A - Biomass power generating method and equipment - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a biogas power generating method or the like which suppresses the capacity of a storage tank of biogas to the minimum, and stably generates power without requiring complicated work. <P>SOLUTION: In the biomass power generating method to generate the power while generating the biogas, a generating process to generate the biogas, a gas storing process to store the biogas, and a power generating process to generate the power using the biogas are performed. In this method, an actual results accumulating process is performed to accumulate actual results of a feed rate of a biogas material and actual results of a biogas generating amount. A regression formula is prepared, wherein a value of the feed rate of the biomass material and a value of the biogas generating amount are used as variables, based on the past actual results accumulated in the actual results accumulating process. Using the regression formula, a setting process is performed, wherein a set value of the feed rate of the biomass material or a set value of a generated output sets up the other. <P>COPYRIGHT: (C)2009,JPO&INPIT

Description

  The present invention relates to a biomass power generation method and a biomass power generation facility.

  Conventionally, biogas is generated from biomass raw materials using organic resources such as raw garbage, livestock manure, sewage sludge, etc. as the main raw material by methane fermentation using bacteria, etc. There is known a power generation method for generating power by driving a generator by burning biogas or the like.

  By the way, in such a biomass power generation method, since the biomass raw material derived from a living organism is originally used, the content component of the biomass raw material is likely to fluctuate. Therefore, since the component and amount of the generated biogas can also fluctuate, the generated power is easily affected by the fluctuation. For this reason, the content components can be varied due to seasonal changes, etc., although the variation of the content components is suppressed by mixing a plurality of types of biomass raw materials. In addition, since biogas is generated by utilizing the life activity of microorganisms such as bacteria, the composition and amount of biogas fluctuate depending on the time zone of biogas generation, temperature fluctuation during biogas generation, etc. Can do. Moreover, in the production of biogas, usually, after a certain amount of biomass raw material is supplied, batch production such as methane fermentation over a certain period of time to produce biogas is performed, so the amount of biogas produced is It varies with time. In other words, in such a biomass power generation method, the components and production amount of biogas fluctuate due to various factors, and thus the generated power is easily affected.

  Therefore, a biomass power generation method in which a large amount of biogas is stored in a storage tank and power is generated using a fixed amount in order to make it difficult to receive fluctuations in the amount of biogas produced and to stably generate power using biogas. Has been proposed. For example, Patent Document 1 proposes storing the entire amount of biogas required for the set power generation in a storage tank.

  However, as with this type of biomass power generation method, when all the biogas required to generate the desired amount of power is stored, it is not assumed that power is generated while generating biogas, and it is relatively large. Since a large-capacity biogas storage tank is required, there is a problem that the equipment cost of the biomass power generation equipment is soared. Accordingly, there is a demand for a biomass power generation method that can be used for power generation while generating biogas, making the storage tank as compact as possible, and reducing the cost of power generation equipment.

  However, in this type of power generation method, since the storage tank has a relatively small capacity, there is a possibility that fluctuations in the amount of biogas generated cannot be sufficiently absorbed, and an unexpected power generation device shuts down due to an unexpected shortage of biogas. There is a possibility that stable power generation becomes difficult. This is because although the amount of biogas produced can be predicted from past results, it can vary due to various factors as described above, and thus there is a limit to the accuracy of predicting the amount of biogas produced. Therefore, in this type of power generation method, in order to achieve a biomass power generation method that can stably generate power while preventing unexpected fluctuations in generated power, the amount of biogas produced, the amount of biogas used in power generation, storage The complicated work of setting the generated power each time while checking the remaining amount of biogas etc. in the tank is required. Furthermore, with this type of power generation method, the amount of biomass raw material to be supplied is based on past production of biogas, even if it is planned to stably generate a desired amount of power. The prediction accuracy is low, and the generated power can be set each time while checking the amount of biogas produced, the amount of biogas used in power generation, the remaining amount of biogas in the storage tank, etc. .

JP 2004-011513 A

As described above, in the conventional biomass power generation method, in order to stably generate power with a necessary minimum amount of biogas storage tanks under the restriction that the amount of biogas produced varies due to various factors, There are the following problems. In other words, since the amount of biogas produced relative to the amount of biomass raw material input cannot be accurately predicted, the amount of generated power can be confirmed while checking the amount of biogas produced, the amount of biogas used in power generation, the remaining amount of biogas in the storage tank, etc. There is a problem that it requires a complicated work such as setting each time.
In addition, since it is not possible to accurately predict the supply amount of biomass raw material for the demand for the desired generated power, the supply amount will be set empirically. There is a problem of requiring complicated work.

  In view of the above problems and demands, the present invention has an object to provide a biomass power generation method that can minimize the capacity of a biogas storage tank and can stably generate power without requiring complicated operations. And It is another object of the present invention to provide a biomass power generation facility that has a relatively small capacity of a biogas storage tank and does not require complicated work and can stably generate power.

In order to solve the above problems, a biomass power generation method according to the present invention includes a generation step of receiving a supply of biomass raw material to generate biogas in a generation tank, and a gas storage step of storing the biogas generated in the generation tank And a power generation step of generating power using the biogas supplied from the storage tank, and a biomass power generation method for generating power while generating biogas,
Conducting a performance accumulation step of accumulating the results of the biomass raw material supply amount supplied to the production tank and the results of the biogas production amount produced in the production tank; and
Based on the past results accumulated in the results accumulating step, a regression equation is created with the values of the biomass feedstock supply amount and the biogas generation amount as variables, and the biomass feedstock supply amount is calculated using the regression equation. A setting step of setting the other one of the set value and the set value of the generated power is performed.

  According to the biomass power generation method having the above configuration, the amount of biogas to be generated can be accurately predicted based on the supply amount of the biomass raw material to be supplied. Moreover, the supply amount of the biomass raw material which should be supplied with the required setting electric power can be estimated accurately.

  In the setting step, it is preferable to set the set value of the generated power according to the set value of the biomass raw material supply amount. By setting the set value of the generated power according to the set value of the biomass raw material supply amount, when the processing amount of the biomass raw material is prioritized over the generated power, the generated power is accurately predicted according to the supply amount of the biomass raw material. There is an advantage that you can.

  In the setting step, it is preferable to set the biomass raw material supply set value according to the set value of the generated power. By setting the biomass raw material supply setting value according to the set value of the generated power, when priority is given to the generated power demand over the processing amount of the biomass raw material, supply of the biomass raw material according to the set generated power There is an advantage that the amount setting can be accurately predicted.

  The regression equation is preferably a regression equation representing a single regression line determined by the least square method. Since the regression equation is a regression equation representing a single regression line determined by the least square method, the biomass feedstock supply amount and the biogas production amount can be simply related, and after the regression equation is corrected and calculated There is an advantage that it is easy to grasp the change of the senses.

  Furthermore, it is preferable that the past track record for creating the regression equation is a track record for the last 1-3 months. Since the results for creating the regression equation are the results for the last one to three months, there is an advantage that the generator can be stably operated even when the content component of the biomass raw material varies depending on the season.

  The biomass power generation facility according to the present invention includes a generation tank that receives supply of biomass raw material to generate biogas, a storage tank that stores the biogas generated in the generation tank, and the bio that is supplied from the storage tank. A biomass power generation facility that generates power using gas while generating biogas, and includes a record of the amount of biomass raw material supplied to the generation tank, and biofuel generated in the generation tank. Using a regression equation with a value of the biomass raw material supply amount created based on the results accumulated in the results accumulation step The other one is set by either one of the set value of the biomass raw material supply amount and the set value of the generated power.

In the biomass power generation method according to the present invention, the amount of biogas to be generated can be accurately predicted according to the supply amount of biomass material to be supplied, or the supply amount of biomass material to be supplied with the required set power is accurately Since it can be predicted, the capacity of the biogas storage tank can be reduced to the minimum necessary, and there is an effect that stable power generation can be achieved without requiring complicated work.
The biomass power generation facility according to the present invention can accurately predict the amount of biogas to be generated according to the supply amount of the biomass material to be supplied, or the supply amount of the biomass material to be supplied with the required set power is accurate. Since it can be predicted, the biogas storage tank having the minimum capacity is used, and there is an effect that it is possible to generate power stably without requiring complicated work.

  Hereinafter, a biomass power generation method and the like according to the present invention will be described with reference to the drawings.

The biomass power generation method of the present embodiment can be implemented using the equipment shown in FIG. 1 and performs the steps described below. That is, a raw material storage step of storing the biomass raw material supplied to the generation tank 1 in the raw material tank 4, a generation step of receiving the supply of the biomass raw material from the raw material tank 4 and generating biogas in the generation tank 1, A gas storage step for storing the biogas generated in the generation tank 1, a purification step for purifying the biogas generated in the generation tank 1 with a purification device 5 such as a desulfurization tower, and the supply from the storage tank 2 A power generation step of generating power with the power generation device 3 using biogas is performed.
Furthermore, the performance accumulation process which accumulates the performance record of the amount of the biomass raw material supplied to the said production tank 1 and the performance record of the amount of biogas produced | generated in the said production tank 1 was implemented, and it accumulated in the said performance accumulation process Based on past results, a regression equation is created with the biomass feedstock value and biogas production value as variables, and the regression formula is used to set the biomass feedstock supply value and generated power A setting step for setting the other one by one of the set values is performed.

  Hereinafter, the contents implemented in each step will be described.

In the raw material storage step, the biomass raw material is temporarily stored in the raw material tank 4. In the raw material storage step, the organic components contained in the biomass raw material are greatly different from each other, and therefore, usually, each organic matter is mixed at a substantially constant ratio. By mixing each organic material of the biomass raw material at a substantially constant ratio, fluctuations in content components can be suppressed as much as possible. However, since the organic matter is originally derived from a living organism, the content of the organic matter can vary depending on the season.
In the raw material saving step, the concentration of the biomass raw material can be adjusted by diluting the mixed organic matter. Moreover, the said biomass raw material can also be made into a slurry by stirring suitably.

  In the raw material saving step, usually, an amount of biomass raw material used in the subsequent production step is saved. The amount of the biomass raw material used in the production step is usually set to an appropriate amount so as not to exceed the biogas production ability of the microorganism that produces biogas. When the amount of the biomass raw material used in the production step exceeds an appropriate amount, there is a risk of inhibiting the activity of the methane fermentation bacteria.

  Examples of the organic matter contained in the biomass raw material include those treated as organic waste, such as leftover rice, livestock manure, shochu residue, surplus sludge (agricultural waste sludge etc.), algae, rice paddy, sugar cane lees, etc. It is done.

  As said raw material tank 4, what is normally used with biomass power generation equipment can be used. Moreover, the said raw material tank 4 has a capacity | capacitance more than the quantity of the biomass raw material normally used at the said next production | generation process, and has a temperature adjustment means, a stirring means, a dilution means, etc. as needed. .

  In the generation step, the biomass raw material stored in the raw material tank 4 is supplied to the generation tank 1 by a discharge pump. At this time, the amount of biomass raw material supplied to the production tank 1 is measured by a sensor. The biomass raw material supplied to the production tank 1 is fermented by, for example, methane fermentation bacteria while the temperature is adjusted in the production tank 1, and biogas is produced in the production tank 1. Moreover, the said biomass raw material can also be stirred as needed during fermentation.

As a method of generating the biogas in the generating step, a general method using a microorganism can be employed, for example, aerobic fermentation in the presence of molecular oxygen, molecular oxygen is required. Not anaerobic fermentation. Among these, anaerobic fermentation, specifically, methane fermentation by methane fermentation bacteria is preferable in terms of producing methane that is easy to use in the subsequent power generation step.
Examples of the fermentation conditions during methane fermentation include a biomass raw material having a pH of 7.2 to 7.8, a temperature of 35 to 37 ° C., or a temperature of 54 to 57 ° C.

  For example, when the biogas produced in the production step is produced by methane fermentation, methane is the main component and may contain carbon dioxide, hydrogen, nitrogen, hydrogen sulfide, hydrogen chloride, and the like. However, the amount of biogas to be generated and the content component ratio may be affected and varied due to the seasonal variation of the content component of the biomass raw material described above. In addition, the amount of biogas to be generated and the content components may vary depending on the amount of biomass raw material supplied. Furthermore, the amount and content components of the biogas to be generated can also be changed by changes in the environment during biogas generation, specifically, changes in the time zone during which the biomass material is supplied.

  As said production | generation tank 1 used at the said production | generation process, what is normally used with biomass power generation equipment can be used. The production tank 1 has a capacity equal to or greater than the amount of biomass raw material supplied from the raw material tank 4, and removes hydrogen sulfide in methane gas by a temperature adjusting means, a stirring means, and a draft tube as necessary. And so on.

  The generation tank 1 used in the generation step is equipped with a transport facility that leads to a wastewater treatment facility, and residues remaining after the generation step is performed are removed from the generation tank 1 and transported to the wastewater treatment facility. Can do.

In the purification step, the biogas is purified by a purification device 5 such as a desulfurization tower in order to remove hydrogen sulfide, ammonia and the like that may be contained in the biogas generated in the generation step.
When the power generation device 3 is a fuel cell, methane needs to be reformed to hydrogen because hydrogen is used as fuel. In order to reform methane into hydrogen by a reformer, it is necessary to increase the methane purity of biogas containing methane. Therefore, before the methane is reformed to hydrogen by the reformer, usually, in the purification step, the generated biogas is desulfurized, ammonia removed, salts removed, and the like.

  The purification step can be performed by a general method. As a general method, for example, a method of substantially removing hydrogen sulfide using a desulfurization tower containing an iron oxide-based desulfurizing agent, a method of substantially removing ammonia using an ammonia tower containing an iron sulfide-based adsorbent, and the like are adopted. can do.

  The purification step is not necessarily performed in the biomass power generation method of the present invention, but is preferably performed in order to prevent corrosion of the power generation device used in the subsequent power generation step by the purified biogas.

  In the gas storage step, the purified biogas is sent from the desulfurization tower to the storage tank 2, and the biogas is temporarily stored in the storage tank 2. At this time, the amount of biogas sent from the desulfurization tower to the storage tank 2 is measured by a sensor. The amount of biogas in the storage tank 2 is measured by a sensor provided in the storage tank 2.

The capacity of the storage tank 2 used in the gas storage process is not particularly limited. Although the capacity | capacitance of the storage tank 2 can also be made into the capacity | capacitance which can store the whole quantity of the biogas used for the set generated electric power, it is preferable that it is comparatively small at the point which reduces the installation cost of power generation equipment. In the power generation method that generates power while generating biogas as in the present embodiment, it is not necessary to store the entire amount of biogas necessary for the set power generation, and therefore the capacity of the storage tank 2 can be made relatively small.
In addition, when there exists the said storage tank 2, when biogas produces | generates more excessively than the quantity used for electric power generation, surplus gas can be temporarily stored, and conversely, the amount of biogas is less than the quantity used for electric power generation. When generated, the generated power can be supplemented with the gas stored in the storage tank. In this way, the design likelihood can be suppressed.

  In the power generation step, the biogas once stored in the storage tank 2 is sent to the power generation device 3 and used for power generation. At this time, the amount of biogas sent to the power generation device 3 is measured by a sensor. In addition, the generated power generated by the power generation device 3 is measured.

  As the power generation device 3 used in the power generation step, a power generation device that includes a drive device such as a gas engine or a gas turbine that burns biogas as fuel and a generator that generates electricity by this type of drive device is used. be able to. Moreover, a fuel cell can also be used as the power generator.

In the power generation step, a plurality of the generators can be used as necessary.
In addition, biogas pretreatment can be performed by a reformer or the like as necessary. That is, when a fuel cell is used as the power generation device, a reforming step for extracting hydrogen from methane gas in the generated biogas can be performed by the reformer.

  In the record accumulating step, the record of the amount of biomass raw material supplied to the production tank 1 is accumulated as a measured value measured by the sensor in the production step as described above. Moreover, the result of the quantity of the biogas produced | generated in the said production | generation tank 1 is accumulate | stored as a measured value measured with the sensor in the said gas storage process as mentioned above.

  In the results accumulating step, the results of the amount of the biomass raw material supplied to the generation tank 1 and the results of the amount of biogas generated in the generation tank 1 are being performed during the generation process and the gas storage process. It is obtained by measurement. The obtained results are accumulated in a timely manner as appropriate.

  If necessary, the actual amount of biogas supplied from the storage tank 2 to the power generation device 3 can be accumulated as a measurement value measured by the sensor in the power generation process as described above. Furthermore, the results of the generated power generated by the power generation device 3 can be accumulated as measured values measured in the power generation process as described above.

  A commonly used sensor can be used as the sensor. For example, a flow meter is used to measure the flow rate, a pressure meter is used to measure the pressure, and a level meter is used to measure the level. When measuring power, a power meter or the like can be used.

  In addition, as a track record accumulated in the track record accumulating step, a value measured by a sensor or the like at a site suitable for each step can be used. That is, for example, by measuring the level of the raw material storage tank 2, or by measuring the amount of biomass raw material supplied to the production tank 1 by integrating the weight of the load cell in the raw material storage tank 2, the measurement is performed. Values can be accumulated as achievements.

  It is preferable that the result accumulated in the result accumulation step is a result measured over time at a time interval of 1 to 10 minutes. In addition, from the results measured and accumulated at this time interval, for example, by calculating the results per day, it is possible to plan the biomass raw material supply amount and the wastewater treatment amount per day. Also, from the results measured and accumulated at this time interval, for example, by calculating the results per hour, it is possible to make a plan for the daily input of biomass materials (distributed input pattern of biomass materials). . As a result, the maximum value of the biogas generation amount can be suppressed as much as possible, and the capacity of the storage tank can be minimized.

  The performance accumulation mechanism for performing the performance accumulation process is not particularly limited, and examples thereof include a computer connected online with a sensor installed in each process. In this type of result storage mechanism, the measurement values measured by sensors or the like are sent online to a computer and stored in the computer.

  In the setting step, based on the past results accumulated in the results accumulating step, a regression equation is created with the values of biomass raw material supply amount and biogas generation amount as variables, and the regression equation is used. The other one is set according to one of the set value of the biomass raw material supply amount and the set value of the generated power.

  Based on the past results accumulated in the results accumulating step, a regression equation is created with the values of the biomass feedstock supply amount and the biogas generation amount as variables, and the biomass feedstock supply amount is calculated using the regression equation. By setting one of the set value and the set value of generated power to the other, the amount of biogas to be generated can be accurately predicted according to the supply amount of the biomass raw material to be supplied. Since the supply amount of the biomass raw material to be supplied can be accurately predicted by the set power to be performed, the possibility of the generator being stopped due to a sudden shortage of biogas is reduced, and stable power generation can be performed. In addition, a complicated operation of setting one of the biomass raw material supply set value and the generated power set value each time may be unnecessary while checking the remaining amount of biogas in the storage tank. Furthermore, the capacity of the storage tank for storing biogas can be reduced to the minimum necessary based on rational calculations and the like.

  In the setting step, it is preferable to set the generated power setting value based on the biomass raw material supply setting value. By setting the generated power setting value based on the biomass raw material supply setting value, for example, when priority is given to the processing amount of the biomass raw material over the generated power, the power generation is accurately performed according to the biomass raw material supply amount. There is an advantage that electric power can be set.

  In the setting step, it is preferable to set the biomass raw material supply set value based on the generated power set value. By setting the biomass raw material supply setting value based on the generated power setting value, for example, in the case where priority is given to the generated power demand over the processing amount of the biomass raw material, according to the set generated power Therefore, there is an advantage that the supply amount of the biomass raw material can be set with high accuracy. There is also an advantage that the amount of biomass raw material received can be planned with high accuracy.

  The regression equation is preferably a regression equation representing a single regression line determined by the least square method. Since the regression equation is a regression equation representing a single regression line determined by the least square method, only two constants, the slope of the straight line and the intercept, are used. There is an advantage that can be. In addition, there is an advantage that the biomass feedstock supply amount and the biogas production amount can be simply related, and the change after the regression equation is corrected is easily grasped sensuously.

  It is preferable that the past track record for creating the regression equation is a track record for the last 1-3 months. The past results for creating the regression equation are the results of more than the last month, making it less susceptible to sudden fluctuations such as the contents of biomass raw materials, and predicting the amount of biogas generated more accurately There is an advantage that the setting in the setting step can be more reliable. Moreover, since it is the results for the last three months or less, it is possible to carry out a setting process that takes into account the seasonal variation of the content component of the biomass raw material, the biogas production amount can be predicted more accurately, and in the setting process There is an advantage that the setting can be more reliable.

  In the setting step, a regression equation, a set value of biomass raw material supply amount, a set value of generated power, and the like are appropriately set when necessary. For example, the setting step may be performed before the biomass power generation method of the present embodiment is performed, and the set value is set using the corrected regression equation while the biomass power generation method of the present embodiment is being performed. It is also possible to carry out the setting step by setting.

In the setting step, if necessary, another setting can be performed using another regression equation. For example, in the record accumulating step, the record of the amount of biogas supplied from the storage tank 2 to the power generator 3 and the record of the generated power generated by the power generator 3 are accumulated, and these Based on the past results, a regression equation using the value of the biogas consumption and the value of the generated power as a variable is created, and the biogas consumption can be predicted from the generated power set value using this regression equation. Also, with this regression equation, the generated power can be predicted from the biogas consumption. Therefore, there is an advantage that the set value of the generated power can be set with high accuracy from the set value of the biomass raw material supply amount. Further, there is an advantage that the set value of the biomass raw material supply amount can be set with high accuracy from the set value of the generated power.
In addition, when predicting the biogas consumption from the generated power set value, the prediction is not limited to the prediction using the regression formula, but the prediction using the regression formula is preferable in that it can be accurately predicted. More preferably, the prediction is performed using a regression equation representing a single regression line determined by multiplication. The amount of biogas produced and the generated power can be easily related, and it is easy to grasp the change after correcting the regression equation.

  In the setting step, based on the past results accumulated in the results accumulating step, a regression equation having variables of the biomass raw material supply amount and the biogas generation amount is created, and the regression equation is used. Setting one of the set value of biomass raw material supply amount and the set value of generated power may be performed by manual calculation or by automatic calculation using a computer or the like. Also good. In addition, in the case of automatic calculation, the setting may be offline or online, but online setting is preferable as much as possible because a complicated operation is not required.

  In the setting step, a correction calculation related to the regression equation can be performed. For example, specifically, it can be carried out by reviewing the coefficient of the regression equation, more specifically, the slope and intercept of the regression equation representing the single regression line determined by the least square method. In reviewing the coefficients, it is possible to review the accumulated results, for example, review the period for which results are accumulated. The correction calculation can be performed every day or at any time. Moreover, it can implement automatically by a computer etc. and can also implement by calculating manually.

  The setting process of the present embodiment will be described in more detail with reference to FIG.

In the setting step, for example, as shown in FIG. 2, the following parameter values can be set.
T _o: production tank discharge (first time) starts at T _A: A section start time T _B: B section start time F _A: biomass material supply amount in section A (m ³ / dose)
F _B: Biomass material supply amount in section B (m ³ / dose)
n _A: supplied in section A number n _B: supply count in section B t _A: supply interval in interval A t _B: F _A set supplied interval in section B, from n _A, supply of the biomass material in section A An integrated amount V _A is obtained.
V _A = F _A · n _A (m ³ )
Similarly, an integrated supply amount V _B of biomass raw material in the B section is obtained.
V _B = F _B · n _B (m ³ )
Here, the constant k _{A of the} A section and the constant k _{B of the} B section are determined as follows for each section on the assumption that the supply amount of the biomass raw material and the gas generation amount are proportional.
k _A = (predicted gas generation amount / integrated supply amount) (m ³ / m ³ ) Equation (1)
k _B = (predicted gas generation amount / integrated supply amount) (m ³ / m ³ ) Equation (2)
A section and the gas generating predicted amount in section B W _A, W _B, respectively, and the following equation (3) and (4).
W _A = V _A · k _A = F _A · n _A · k _A (m ³ ) Equation (3)
W _B = V _B · k _B = F _B · n _B · k _B (m ³ ) Equation (4)
The biogas average production prediction amounts V _Aave and V _Bave in the A section and the B section are determined as shown in _Expression 1 and _Expression 2, respectively.

In addition, a simple regression line is created from the biogas consumption of the generator (amount of biogas supplied to the power generator) V _G (P) (m ³ / h) and the generated power P (kW), and the A section The following formulas (5) and (6) are defined for each of the B sections. The coefficients (a _A , a _B , b _A , b _B ) are obtained offline based on the measurement results and can be set individually.
V _GA (P _A ) = a _A · P _A + b _A Formula (5)
V _GB (P _B ) = a _B · P _B + b _B formula (6)

In the setting step, the generated power set value can be determined according to the flow of FIG. 3 in each of the A section and the B section. Here, two generators are used. FIG. 3 shows a flow in section A of FIG. Here, it is assumed that the maximum generated power and the minimum generated power per generator are P _MAX and P _MIN , respectively.

In the setting step, an operation pattern can be automatically generated once a day. This automatic generation can be automatically performed at a fixed time, or can be performed at an arbitrary time.
For example, as shown in FIG. 3, input the _{T o, T A, T B} , F A, F B, n A, n B, t A, t B, and _{a A, a B, b A} , based on the settings of b _B, it can automatically generate the operation pattern of 1 day to 9 am.

In addition, in the operation pattern of the generator by the automatically generated generated power set value, the amount of biogas in the storage tank can be maintained at an appropriate amount. However, in the unlikely event that the remaining amount reaches the upper limit (H) or the lower limit (L), the emergency compensation operation can be performed with the following logic.
Here, _let P _MAX and P _MIN be the maximum generated power and the minimum generated power per generator, respectively. Further, the threshold value P _TH of the generated power set value for distinguishing between the following correction methods (1) and (2) can be determined based on the generator specifications and the operation results.
(1) When operating one generator (set power generation value = less than _PTH )
More than the upper limit (H) of the remaining gas: Generated power set value = P _MAX
Within the appropriate amount of gas remaining: Return to pattern operation Below the gas remaining lower limit (L): Generated power set value = P _MIN
(2) When operating one generator (Generated power set value = P _TH or more)
Upper limit of remaining gas (H): Generator follow-up start and generated power set value = P _MAX (both units)
Within the appropriate remaining gas range: Return to pattern operation Below the lower gas limit (L): Generated power set value = P _MIN (Minimum generated power)
(3) When two generators are operating: Upper limit of remaining gas (H): Generated power set value = P _MAX (both units)
Within the appropriate remaining gas range: Return to pattern operation Below the lower gas limit (L): Stop the follower starter and set power generation value = P _MIN
Here, the threshold value (P _TH ) will be described. The threshold (P _TH ) is applied only when one generator is in operation. If the remaining gas limit (H) is reached while the generator is operating at P _TH or higher, the biogas will remain even if the set value is increased to P _MAX. It is used to prevent a long time for the remaining amount of gas to return to an appropriate range without greatly changing the consumption amount.

FIG. 4 shows a pattern for each time of the generated power set value when two generators are used. a) shows the pattern of the total generated power set value. In determining the generated power set value, as shown in b), the generated power setting can be set to the same value when the two units can be operated. On the other hand, as shown in c), one unit can be operated with the maximum generated power (P _MAX ) having the highest power generation efficiency, and the remaining one unit can be operated intermittently with the maximum generated power for each time segment. The intermittent operation pattern can be obtained from the difference between the generated power for each time segment and the power generated by the operation at the maximum generated power. By operating one unit with the maximum generated power (P _MAX ) having the highest power generation efficiency, it is possible to generate power with higher efficiency.

  Next, the setting process of another embodiment will be described with reference to FIG.

The correction calculation of the slope of the single regression line and the intercept of the biomass raw material supply amount and the biogas generation amount can be performed off-line. Further, as indicated by I shown in FIG. 5, all can be processed online, thereby enabling further labor saving of operation. In addition, it is possible to automatically set the generated power with high accuracy following the change in the content component of the biomass raw material.
The correction of the slope and intercept of the single regression line between the biogas consumption of the generator and the generated power can be performed off-line. Further, as indicated by II shown in FIG. 5, all can be processed online, thereby enabling further labor saving of operation. In addition, it is possible to automatically set the generated power with high accuracy following the change in the content component of the biomass raw material.
The correction calculations of I and II can be performed in two sections, day and night. Further, as shown in III in FIG. 5, further detailed control can be performed by further subdividing the time division.

Furthermore, the setting process of another embodiment will be described. As shown in FIG. 6, in contrast to FIG. 5, the biomass raw material supply pattern can be set from the generated power setting pattern. This can be applied when prioritizing the required power demand.
Here, as shown in FIG. 6, it is possible to predict the supply interval time of the biomass material by creating a regression equation between the biomass material supply amount and the convergence time in the gas generation amount trend. Therefore, the parameters required for determining the biomass material supply pattern can be reduced to only the biomass material supply amount (F _A , F _B ). Moreover, since it can follow the change of the content component of biomass raw material by making it online, it becomes possible to set power generation with higher accuracy.

  Next, the biomass power generation facility according to the present invention will be described.

As shown in FIG. 1, the biomass power generation facility of the present embodiment includes a generation tank 1 that receives supply of biomass raw material to generate biogas, and a storage tank 2 that stores the biogas generated in the generation tank 1. And a biomass power generation facility comprising a power generation device 3 that generates power using the biogas supplied from the storage tank 2,
A record of the amount of biomass raw material supplied to the generation tank 1, a record of the amount of biogas generated in the generation tank 1, and a record of the amount of biogas supplied from the storage tank 2 to the power generation device 3. And a record storage mechanism in which the record of the generated power generated by the power generator 3 is stored,
According to a regression formula created based on the results accumulated in the results accumulation mechanism, the other one is set based on one of the biomass raw material supply set value and the generated power set value. It has become.

  The biomass power generation facility of this embodiment can be manufactured by a general method. That is, the generation tank 1, the storage tank 2, the power generation device 3 and the like can be those commonly used in biomass power generation facilities, and the necessary piping, wiring, etc. are installed for these. They can be combined and manufactured by conventional methods.

The present invention is not limited to the biomass power generation method exemplified above and the biomass power generation equipment exemplified above.
Moreover, the various aspects used in a general biomass power generation method and biomass power generation equipment can be employed within a range that does not impair the effects of the present invention.

The flowchart in the biomass power generation method of one Embodiment. The schematic diagram which shows the supply setting pattern of the biomass raw material in the biomass power generation method of one Embodiment. The flowchart which determines the generated power setting value in the biomass power generation method of one Embodiment. The graph showing the power generation pattern in the biomass power generation method of one embodiment. The flowchart in the biomass power generation method of other embodiment. The flowchart in the case of setting the supply amount of a biomass raw material in the biomass power generation method of another embodiment.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 ... Production tank 2 ... Storage tank 3 ... Power generation apparatus 4 ... Raw material tank 5 ... Purification apparatus

Claims (6)

A generation step of receiving a supply of biomass raw material to generate biogas in a generation tank, a gas storage step of storing the biogas generated in the generation tank, and power generation using the biogas supplied from the storage tank A biomass power generation method for generating power while generating biogas,
Conducting a performance accumulation step of accumulating the results of the biomass raw material supply amount supplied to the production tank and the results of the biogas production amount produced in the production tank; and
Based on the past results accumulated in the results accumulating step, a regression equation is created with the values of the biomass feedstock supply amount and the biogas generation amount as variables, and the biomass feedstock supply amount is calculated using the regression equation. The biomass power generation method characterized by implementing the setting process which sets the other one by either one of the setting value of this and the setting value of generated electric power.   The biomass power generation method according to claim 1, wherein in the setting step, a set value of the generated power is set by a set value of the biomass raw material supply amount.   The biomass power generation method according to claim 1, wherein in the setting step, the biomass raw material supply set value is set according to a set value of the generated power.   The biomass power generation method according to claim 2 or 3, wherein the regression equation is a regression equation representing a single regression line determined by a least square method.   The biomass power generation method according to any one of claims 2 to 4, wherein a past record for creating the regression equation is a record of the last one to three months. A generation tank that receives supply of biomass raw material to generate biogas, a storage tank that stores the biogas generated in the generation tank, and a power generation device that generates electric power using the biogas supplied from the storage tank A biomass power generation facility that generates power while generating biogas,
It has a record storage mechanism in which the record of the biomass feedstock supplied to the generation tank and the record of the amount of biogas generated in the generation tank are stored,
Using the regression equation with the values of biomass raw material supply amount and biogas generation amount as variables, created based on the results accumulated in the result accumulation step, the set value of biomass raw material supply amount and generated power A biomass power generation facility, wherein one of the set values is set to the other.

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