CN113361096A - Modeling method for construction scale of micro-grid reverse osmosis seawater desalination technology - Google Patents

Modeling method for construction scale of micro-grid reverse osmosis seawater desalination technology Download PDF

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CN113361096A
CN113361096A CN202110615834.3A CN202110615834A CN113361096A CN 113361096 A CN113361096 A CN 113361096A CN 202110615834 A CN202110615834 A CN 202110615834A CN 113361096 A CN113361096 A CN 113361096A
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seawater desalination
above formula
energy storage
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CN113361096B (en
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崔岱
楚帅
葛维春
董辉
刘闯
张诗钽
唐婧怡
王爱华
高凯
陈晓东
葛延峰
李铁
姜枫
张艳军
唐俊刺
李欣蔚
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State Grid Corp of China SGCC
State Grid Liaoning Electric Power Co Ltd
Electric Power Research Institute of State Grid Liaoning Electric Power Co Ltd
Northeast Electric Power University
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State Grid Corp of China SGCC
Northeast Dianli University
State Grid Liaoning Electric Power Co Ltd
Electric Power Research Institute of State Grid Liaoning Electric Power Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • CCHEMISTRY; METALLURGY
    • C02TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02FTREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F1/00Treatment of water, waste water, or sewage
    • C02F1/44Treatment of water, waste water, or sewage by dialysis, osmosis or reverse osmosis
    • C02F1/441Treatment of water, waste water, or sewage by dialysis, osmosis or reverse osmosis by reverse osmosis
    • CCHEMISTRY; METALLURGY
    • C02TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02FTREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
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    • C02F2103/08Seawater, e.g. for desalination
    • CCHEMISTRY; METALLURGY
    • C02TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02FTREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F2201/00Apparatus for treatment of water, waste water or sewage
    • C02F2201/009Apparatus with independent power supply, e.g. solar cells, windpower or fuel cells
    • CCHEMISTRY; METALLURGY
    • C02TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02FTREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F2209/00Controlling or monitoring parameters in water treatment
    • C02F2209/02Temperature
    • CCHEMISTRY; METALLURGY
    • C02TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02FTREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F2209/00Controlling or monitoring parameters in water treatment
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    • Y02A20/00Water conservation; Efficient water supply; Efficient water use
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    • 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
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Abstract

The invention discloses a modeling method for the construction scale of a micro-grid reverse osmosis seawater desalination technology, which comprises the following steps: calculating the generating power of the photovoltaic module
Figure DDA0003097424080000013
Total number of photovoltaic battery chargers
Figure DDA0003097424080000011
Calculating wind turbine generated power from wind speed
Figure DDA0003097424080000012
Calculating rated capacity C of required energy storage battery packnAnd calculating the storage of the energy storage battery pack according to the charging and discharging states of the energy storage batteryElectric quantity Ci(t); calculating rated power of the inverter according to the power required by the seawater desalination technology
Figure DDA0003097424080000014
Maximum capacity W of water storage tankTANK(ii) a And calculating the total construction cost LCC of the seawater desalination technology. The most economic construction scale of seawater desalination is obtained by modeling the output power and the total construction cost of the photovoltaic assembly and the wind turbine; the long-distance power supply circuit can be prevented from being laid by a large power grid, the use of fossil fuels can be reduced, and the low-carbon and environment-friendly application of the seawater desalination technology is realized.

Description

Modeling method for construction scale of micro-grid reverse osmosis seawater desalination technology
Technical Field
The invention belongs to the technical field of seawater desalination engineering, and relates to a modeling method for construction scale of a micro-grid reverse osmosis seawater desalination technology.
Background
China's coastline is long and has tens of thousands of islands, with as many as 500 islands with resident residents, where fresh water resources are essential material resources for economic development of islands. Because of shortage of fresh water resources, the residents in the island cannot guarantee sufficient fresh water guarantee, and most islands in China are known to be difficult to drink water, and the fresh water resources of some islands are only 144m3. The sea island fresh water supply mode comprises underground mining, continental water supply, seawater desalination and the like, the seawater flows backwards on the sea island due to the fact that underground water is excessively mined, water quality is seriously polluted, submarine pipelines need to be laid for the continental water supply, cost is high, and the existing sea island desalination technology has a good application prospect.
The existing seawater desalination technology needs a large amount of electric energy, if power is supplied through a power grid, a long-distance power supply line needs to be laid, a large amount of fossil fuels need to be consumed, and the seawater desalination technology is easily influenced by weather and space-time conditions.
Disclosure of Invention
The invention aims to provide a modeling method for the construction scale of a micro-grid reverse osmosis seawater desalination technology, which solves the problems that a large amount of fossil fuel is consumed and the micro-grid reverse osmosis seawater desalination technology is easily influenced by weather and space-time conditions due to power supply through a power grid in the prior art.
The technical scheme adopted by the invention is that the modeling method for the construction scale of the micro-grid reverse osmosis seawater desalination technology comprises the following steps:
step 1, calculating the power generation power of the photovoltaic module
Figure BDA0003097424070000011
Total number of photovoltaic battery chargers
Figure BDA0003097424070000021
Step 2, calculating the generated power P of the wind turbine according to the wind speedi WG
Step 3, calculating the rated capacity C of the required energy storage battery packnAnd calculating the stored electric quantity C of the energy storage battery pack according to the charging and discharging states of the energy storage batteryi(t);
Step 4, calculating the rated power P of the inverter according to the power required by the seawater desalination technologyi L(t) maximum volume W of water tankTANK
Step 5, calculating the total construction cost LCC of the seawater desalination technology, wherein the total construction cost LCC comprises the photovoltaic module construction cost LCCPVWind turbine construction cost LCCWGAnd the construction cost LCC of the energy storage battery packBATAnd the construction cost LCC of the storage battery chargerchAnd the construction cost of the water storage tank LCCTANKAnd the construction cost LCC of the seawater desalination unitRO
The invention is also characterized in that:
the step 1 specifically comprises the following steps:
step 1.1, calculating the serial connection number N of photovoltaic panels in the photovoltaic moduleSN number of parallel connectionsP
Figure BDA0003097424070000022
In the above formula, the first and second carbon atoms are,
Figure BDA0003097424070000023
is the maximum input voltage of the battery charger,
Figure BDA0003097424070000024
is the maximum open circuit voltage, N, of the photovoltaic modulePVIs the total number of photovoltaic modules;
step 1.2, calculating the open-circuit voltage of the photovoltaic module
Figure BDA0003097424070000025
Figure BDA0003097424070000026
In the above formula, VOC,STCIs the open circuit voltage under standard test conditions, KVIs open circuit voltage temperature coefficient, Ti AFor ambient temperature, NOCT is nominal operating battery temperature, Gi(t, β) is the total irradiance incident on the photovoltaic module at the tilt angle β;
step 1.3, calculating the short-circuit current of the photovoltaic module
Figure BDA0003097424070000031
Figure BDA0003097424070000032
In the above formula, ISC,STCIs short-circuit current under standard test conditions, KIIs the short circuit current temperature coefficient;
step 1.4, generating power P of photovoltaic modulei PV(t, β) is calculated as follows:
Figure BDA0003097424070000033
in the above formula, n1For battery charger power supply interface efficiency, n2As a conversion factor, Pi M(t, beta) is the maximum output power of the photovoltaic power generation, and the calculation process is as follows:
Figure BDA0003097424070000034
in the above formula, FFi(t) is the fill factor;
step 1.5 Total number of photovoltaic Battery chargers
Figure BDA0003097424070000035
The calculation process is as follows:
Figure BDA0003097424070000036
in the above formula, the first and second carbon atoms are,
Figure BDA0003097424070000037
is the rated power of the battery charger,
Figure BDA0003097424070000038
is the maximum power of one photovoltaic module under standard test conditions.
Step 2 wind turbine generated power Pi WGThe calculation formula of (a) is as follows:
Figure BDA0003097424070000039
in the above formula, NWGNumber of wind turbines, v1、v2Cut-in wind speed, cut-out wind speed, P, respectively for a wind turbine1、P2Are each v1、v2Corresponding output power, vi(t, h) is the wind speed at height h, which is calculated as follows:
Figure BDA00030974240700000310
in the above formula, the first and second carbon atoms are,
Figure BDA00030974240700000311
is prepared from radix GinsengHeight h of examinationrefAnd alpha is a wind speed index.
The step 3 specifically comprises the following steps:
step 3.1, the number of energy storage batteries connected in series with the energy storage battery pack
Figure BDA0003097424070000041
The specific calculation process is as follows:
Figure BDA0003097424070000042
in the above formula, VBUSIs rated voltage, V, of the DC busBThe rated voltage of a single energy storage battery;
step 3.2, rated capacity C of required energy storage battery packnThe calculation is as follows:
Figure BDA0003097424070000043
in the above formula, NBATFor the total number of energy storage cells, CBThe rated capacity of each energy storage battery;
step 3.3, the specific calculation process of the storage electric quantity Ci (t) of the energy storage battery pack is as follows:
Figure BDA0003097424070000044
in the above formula, nCAnd nDRespectively the charging efficiency and the discharging efficiency of the energy storage battery pack, xi is a charging and discharging coefficient, xi is 1 when the energy storage battery pack is discharged, xi is 2 when the energy storage battery pack is charged, delta t is a simulation time step length, P isi B(t) is the input and output power of the energy storage battery pack, and the calculation process is as follows:
Figure BDA0003097424070000045
in the above formula, the first and second carbon atoms are,
Figure BDA0003097424070000046
rated power for the inverter;
the specific calculation process of the step 4 is as follows:
step 4.1, rated power of inverter
Figure BDA0003097424070000047
The calculation process is as follows:
Figure BDA0003097424070000048
in the above formula, NROThe number of the seawater desalination units is the same as the number of the seawater desalination units,
Figure BDA0003097424070000049
power required for a single seawater desalination unit, niConverting the efficiency of the inverter;
step 4.2, maximum capacity W of water storage tankTANKThe calculation process is as follows:
Wmin≤Wi(t)≤WTANK (14);
in the above formula, WminThe minimum allowable water quantity of the water storage tank is equal to 30 percent of the maximum capacity of the water storage tank, Wi(t) the amount of water stored in the water storage tank at time t, and the calculation process is as follows:
Figure BDA0003097424070000051
in the above formula, Wi u(t) fresh water yield of a single seawater desalination unit, Ww(t) is the water load demand.
The specific calculation process of the total construction cost LCC of the seawater desalination technology in the step 5 is as follows:
LCC=LCCPV+LCCWG+LCCBAT+LCCch+LCCTANK+LCCRO (16);
in the above formula, LCCPVFor photovoltaic panel construction cost, LCCWGCost of construction for wind turbines, LCCBATFor energy storage battery pack construction cost, LCCchFor the construction cost of battery chargers, LCCTANKFor water storage tank construction cost, LCCINVCost of inverter construction;
wherein, photovoltaic panel construction cost LCCPVThe calculation process is as follows:
LCCPV=NPV·(CPV+20·MPV) (17);
in the above formula, CPVFor the investment cost of a single photovoltaic module, MPVAnnual maintenance costs for the photovoltaic module;
wind turbine construction cost LCCWGThe calculation process is as follows:
LCCWG=NWG·(CWG+20·MWG+h·Ch+20·h·Mh) (18);
in the above formula, CWGFor investment costs of individual wind turbines, MWGAnnual maintenance costs for wind turbines, ChCapital cost of tower installation for wind turbines, MhTower year maintenance costs for wind turbine installation;
energy storage battery pack construction cost LCCBATThe calculation process is as follows:
LCCBAT=NBAT·[CBAT+YBAT·CBAT+(20-YBAT-1)·MBAT] (19);
in the above formula, CBATFor the investment cost of a single energy storage battery, MBATFor annual maintenance costs of energy-storing batteries, YBATThe replacement times of the energy storage battery for 20 years of operation;
storage battery charger construction cost LCCchThe calculation process is as follows:
Figure BDA0003097424070000052
in the above formula, the first and second carbon atoms are,
Figure BDA0003097424070000053
in order to account for the investment cost of a single battery charger,
Figure BDA0003097424070000054
for the annual maintenance cost of the battery charger,
Figure BDA0003097424070000061
the number of times of battery charger replacement for 20 years of operation;
water storage tank construction cost LCCTANKThe calculation process is as follows:
LCCTANK=WTANK·[CTANK+20·MTANK] (21);
in the above formula, CTANKFor investment costs of individual storage tanks, MTANKAnnual maintenance costs for the storage tank;
seawater desalination unit construction cost LCCROThe calculation process is as follows:
LCCRO=NRO·[CRO+20·MRO+CINV·(YINV+1)+MINV·(20-YINV-1)] (22);
in the above formula, CROFor the investment cost of a single seawater desalination unit, MROAnnual maintenance costs for the seawater desalination units, CINVFor investment costs of a single inverter, MINVFor annual maintenance costs of the inverter, YINVInverter replacement times for 20 years of operation.
The invention has the beneficial effects that:
the invention relates to a modeling method of construction scale of a micro-grid reverse osmosis seawater desalination technology, which is characterized in that according to the illumination intensity and wind speed of islands and the quantity of resident water of the islands, the most economic construction scale of seawater desalination is obtained by modeling the output power and total construction cost of a photovoltaic assembly and a wind turbine; clean energy is used for supplying energy for the seawater desalination process, so that a large power grid can be prevented from laying a long-distance power supply line, the use of fossil fuel can be reduced, and the low-carbon and environment-friendly application of the seawater desalination technology is realized; the seawater desalination technology has stable water yield, the water quality reaches the standard, the influence of weather and space-time conditions is low, and the problem of difficult water consumption of islands can be solved.
Detailed Description
The present invention will be described in detail with reference to the following embodiments.
A modeling method for construction scale of micro-grid reverse osmosis seawater desalination technology comprises the following steps:
step 1, calculating the power generation power of the photovoltaic module
Figure BDA0003097424070000062
Total number of photovoltaic battery chargers
Figure BDA0003097424070000063
Step 1.1, calculating the serial connection number N of photovoltaic panels in the photovoltaic moduleSN number of parallel connectionsP
Figure BDA0003097424070000071
In the above formula, the first and second carbon atoms are,
Figure BDA0003097424070000072
is the maximum input voltage of the battery charger,
Figure BDA0003097424070000073
is the maximum open circuit voltage, N, of the photovoltaic modulePVIs the total number of photovoltaic modules;
step 1.2, calculating the open-circuit voltage of the photovoltaic module
Figure BDA0003097424070000074
Figure BDA0003097424070000075
In the above formula, VOC,STCIs the open circuit voltage under standard test conditions, KVIs an open circuitTemperature coefficient of voltage, TiAFor ambient temperature, NOCT is nominal operating battery temperature, Gi(t, β) is the total irradiance incident on the photovoltaic module at the tilt angle β;
step 1.3, calculating the short-circuit current of the photovoltaic module
Figure BDA0003097424070000076
Figure BDA0003097424070000077
In the above formula, ISC,STCIs short-circuit current under standard test conditions, KIIs the short circuit current temperature coefficient; step 1.4, generating power of photovoltaic module
Figure BDA0003097424070000078
The calculation method of (c) is as follows:
Figure BDA0003097424070000079
in the above formula, n1For battery charger power supply interface efficiency, n2In order to convert the factor(s),
Figure BDA00030974240700000710
the calculation process for the maximum output power of the photovoltaic power generation is as follows:
Figure BDA00030974240700000711
in the above formula, FFi(t) is the fill factor;
step 1.5 Total number of photovoltaic Battery chargers
Figure BDA00030974240700000712
The calculation process is as follows:
Figure BDA00030974240700000713
in the above formula, the first and second carbon atoms are,
Figure BDA0003097424070000081
is the rated power of the battery charger,
Figure BDA0003097424070000082
is the maximum power of one photovoltaic module under standard test conditions.
Step 2, calculating the power generated by the wind turbine according to the wind speed
Figure BDA0003097424070000083
Figure BDA0003097424070000084
In the above formula, NWGNumber of wind turbines, v1、v2Cut-in wind speed, cut-out wind speed, P, respectively for a wind turbine1、P2Are each v1、v2Corresponding output power, vi(t, h) is the wind speed at height h, which is calculated as follows:
Figure BDA0003097424070000085
in the above formula, the first and second carbon atoms are,
Figure BDA0003097424070000086
to be at a reference height hrefAnd alpha is a wind speed index.
Step 3, calculating the rated capacity C of the required energy storage battery packnAnd calculating the stored electric quantity C of the energy storage battery pack according to the charging and discharging states of the energy storage batteryi(t);
Step 3.1, the number of energy storage batteries connected in series with the energy storage battery pack
Figure BDA0003097424070000087
The specific calculation process is as follows:
Figure BDA0003097424070000088
in the above formula, VBUSIs rated voltage, V, of the DC busBThe rated voltage of a single energy storage battery;
step 3.2, rated capacity C of required energy storage battery packnThe calculation is as follows:
Figure BDA0003097424070000089
in the above formula, NBATFor the total number of energy storage cells, CBThe rated capacity of each energy storage battery;
step 3.3, the specific calculation process of the storage electric quantity Ci (t) of the energy storage battery pack is as follows:
Figure BDA00030974240700000810
in the above formula, nCAnd nDRespectively the charging efficiency and the discharging efficiency of the energy storage battery pack, xi is a charging and discharging coefficient, xi is 1 when the energy storage battery pack is discharged, xi is 2 when the energy storage battery pack is charged, delta t is a simulation time step length, P isi B(t) is the input and output power of the energy storage battery pack, and the calculation process is as follows:
Figure BDA0003097424070000091
in the above formula, the first and second carbon atoms are,
Figure BDA0003097424070000092
rated power for the inverter;
step 4, calculating the rated power of the inverter according to the power required by the seawater desalination technology
Figure BDA0003097424070000093
Maximum capacity W of water storage tankTANK
Step 4.1, rated power of inverter
Figure BDA0003097424070000094
The calculation process is as follows:
Figure BDA0003097424070000095
in the above formula, NROThe number of the seawater desalination units is the same as the number of the seawater desalination units,
Figure BDA0003097424070000096
power required for a single seawater desalination unit, niConverting the efficiency of the inverter;
step 4.2, maximum capacity W of water storage tankTANKThe calculation process is as follows:
Wmin≤Wi(t)≤WTANK (14);
in the above formula, WminThe minimum allowable water quantity of the water storage tank is equal to 30 percent of the maximum capacity of the water storage tank, Wi(t) the amount of water stored in the water storage tank at time t, and the calculation process is as follows:
Wi(t)=NRO·Wu i(t)-Ww(t) (15);
in the above formula, Wiu(t) fresh water yield of a single seawater desalination unit, Ww(t) is the water load demand.
Step 5, calculating the total construction cost LCC of the seawater desalination technology, wherein the total construction cost LCC comprises the photovoltaic module construction cost LCCPVWind turbine construction cost LCCWGAnd the construction cost LCC of the energy storage battery packBATAnd the construction cost LCC of the storage battery chargerchAnd the construction cost of the water storage tank LCCTANKAnd the construction cost LCC of the seawater desalination unitRO
LCC=LCCPV+LCCWG+LCCBAT+LCCch+LCCTANK+LCCRO (16);
Wherein, photovoltaic panel construction cost LCCPVThe calculation process is as follows:
LCCPV=NPV·(CPV+20·MPV) (17);
in the above formula, CPVFor the investment cost of a single photovoltaic module, MPVAnnual maintenance costs for the photovoltaic module;
wind turbine construction cost LCCWGThe calculation process is as follows:
LCCWG=NWG·(CWG+20·MWG+h·Ch+20·h·Mh) (18);
in the above formula, CWGFor investment costs of individual wind turbines, MWGAnnual maintenance costs for wind turbines, ChCapital cost of tower installation for wind turbines, MhTower year maintenance costs for wind turbine installation;
energy storage battery pack construction cost LCCBATThe calculation process is as follows:
LCCBAT=NBAT·[CBAT+YBAT·CBAT+(20-YBAT-1)·MBAT] (19);
in the above formula, CBATFor the investment cost of a single energy storage battery, MBATFor annual maintenance costs of energy-storing batteries, YBATThe replacement times of the energy storage battery for 20 years of operation;
storage battery charger construction cost LCCchThe calculation process is as follows:
Figure BDA0003097424070000101
in the above formula, the first and second carbon atoms are,
Figure BDA0003097424070000102
in order to account for the investment cost of a single battery charger,
Figure BDA0003097424070000103
for the annual maintenance cost of the battery charger,
Figure BDA0003097424070000104
the number of times of battery charger replacement for 20 years of operation;
water storage tank construction cost LCCTANKThe calculation process is as follows:
LCCTANK=WTANK·[CTANK+20·MTANK] (21);
in the above formula, CTANKFor investment costs of individual storage tanks, MTANKAnnual maintenance costs for the storage tank;
seawater desalination unit construction cost LCCROThe calculation process is as follows:
LCCRO=NRO·[CRO+20·MRO+CINV·(YINV+1)+MINV·(20-YINV-1)] (22);
in the above formula, CROFor the investment cost of a single seawater desalination unit, MROAnnual maintenance costs for the seawater desalination units, CINVFor investment costs of a single inverter, MINVFor annual maintenance costs of the inverter, YINVInverter replacement times for 20 years of operation.
In practical application, the model is solved by calculating the parameters in the steps 1-5 to obtain the lowest value of the total construction cost LCC, so that the total number N of the photovoltaic modules is determinedPVNumber of wind turbines NWGWind turbine installation height h, total number of energy storage batteries NBATThe total number of the photovoltaic storage battery chargers
Figure BDA0003097424070000111
Maximum capacity W of water storage tankTANKThe number of the seawater desalination units is NROThe minimum value of the total amount of the water is obtained, and the construction scale of the micro-grid reverse osmosis seawater desalination technology is further obtained.
By the mode, according to the modeling method for the construction scale of the micro-grid reverse osmosis seawater desalination technology, the most economic construction scale of seawater desalination is obtained by modeling the output power and the total construction cost of a photovoltaic assembly and a wind turbine according to the illumination intensity and the wind speed of the island and the water quantity of residents in the island; clean energy is used for supplying energy for the seawater desalination process, so that a large power grid can be prevented from laying a long-distance power supply line, the use of fossil fuel can be reduced, and the low-carbon and environment-friendly application of the seawater desalination technology is realized; the seawater desalination technology has stable water yield, the water quality reaches the standard, the influence of weather and space-time conditions is low, and the problem of difficult water consumption of islands can be solved.

Claims (6)

1. A modeling method for construction scale of micro-grid reverse osmosis seawater desalination technology is characterized by comprising the following steps:
step 1, calculating the power generation power of the photovoltaic module
Figure FDA0003097424060000011
Total number of photovoltaic battery chargers
Figure FDA0003097424060000012
Step 2, calculating the power generated by the wind turbine according to the wind speed
Figure FDA0003097424060000013
Step 3, calculating the rated capacity C of the required energy storage battery packnAnd calculating the stored electric quantity C of the energy storage battery pack according to the charging and discharging states of the energy storage batteryi(t);
Step 4, calculating the rated power of the inverter according to the power required by the seawater desalination technology
Figure FDA0003097424060000018
Maximum capacity W of water storage tankTANK
Step 5, calculating the total construction cost LCC of the seawater desalination technology, wherein the total construction cost LCC comprises the photovoltaic module construction cost LCCPVWind turbine construction cost LCCWGEnergy storage battery pack construction cost LCCBATAnd the construction cost LCC of the storage battery chargerchAnd the construction cost of the water storage tank LCCTANKAnd the construction cost LCC of the seawater desalination unitRO
2. The modeling method for the construction scale of the micro-grid reverse osmosis seawater desalination technology according to claim 1, wherein the step 1 specifically comprises the following steps:
step 1.1, calculating the serial connection number N of photovoltaic panels in the photovoltaic moduleSN number of parallel connectionsP
Figure FDA0003097424060000014
In the above formula, the first and second carbon atoms are,
Figure FDA0003097424060000015
is the maximum input voltage of the battery charger,
Figure FDA0003097424060000016
is the maximum open circuit voltage, N, of the photovoltaic modulePVIs the total number of photovoltaic modules;
step 1.2, calculating the open-circuit voltage of the photovoltaic module
Figure FDA0003097424060000017
Figure FDA0003097424060000021
In the above formula, VOC,STCIs the open circuit voltage under standard test conditions, KVIn order to be the open-circuit voltage temperature coefficient,
Figure FDA0003097424060000022
for ambient temperature, NOCT is nominal operating battery temperature, Gi(t, β) is the total radiance incident on the photovoltaic module at the tilt angle βAn illuminance;
step 1.3, calculating the short-circuit current of the photovoltaic module
Figure FDA0003097424060000023
Figure FDA0003097424060000024
In the above formula, ISC,STCIs short-circuit current under standard test conditions, KIIs the short circuit current temperature coefficient;
step 1.4, generating power of photovoltaic module
Figure FDA0003097424060000025
The calculation method of (c) is as follows:
Figure FDA0003097424060000026
in the above formula, n1For battery charger power supply interface efficiency, n2In order to convert the factor(s),
Figure FDA0003097424060000027
the calculation process for the maximum output power of the photovoltaic power generation is as follows:
Figure FDA0003097424060000028
in the above formula, FFi(t) is the fill factor;
step 1.5 Total number of photovoltaic Battery chargers
Figure FDA0003097424060000029
The calculation process is as follows:
Figure FDA00030974240600000210
in the above formula, the first and second carbon atoms are,
Figure FDA00030974240600000211
is the rated power of the battery charger,
Figure FDA00030974240600000212
is the maximum power of one photovoltaic module under standard test conditions.
3. The modeling method for construction scale of micro-grid reverse osmosis seawater desalination technology as claimed in claim 1, wherein the wind turbine generated power in step 2
Figure FDA00030974240600000213
The calculation formula of (a) is as follows:
Figure FDA00030974240600000214
in the above formula, NWGNumber of wind turbines, v1、v2Cut-in wind speed, cut-out wind speed, P, respectively for a wind turbine1、P2Are each v1、v2Corresponding output power, vi(t, h) is the wind speed at height h, which is calculated as follows:
Figure FDA0003097424060000031
in the above formula, the first and second carbon atoms are,
Figure FDA0003097424060000032
to be at a reference height hrefAnd alpha is a wind speed index.
4. The modeling method for the construction scale of the micro-grid reverse osmosis seawater desalination technology according to claim 1, wherein the step 3 specifically comprises the following steps:
step 3.1, the number of energy storage batteries connected in series with the energy storage battery pack
Figure FDA0003097424060000033
The specific calculation process is as follows:
Figure FDA0003097424060000034
in the above formula, VBUSIs rated voltage, V, of the DC busBThe rated voltage of a single energy storage battery;
step 3.2, rated capacity C of required energy storage battery packnThe calculation is as follows:
Figure FDA0003097424060000035
in the above formula, NBATFor the total number of energy storage cells, CBThe rated capacity of each energy storage battery;
step 3.3, the specific calculation process of the storage electric quantity Ci (t) of the energy storage battery pack is as follows:
Figure FDA0003097424060000036
in the above formula, nCAnd nDCharging efficiency and discharging efficiency of the energy storage battery pack are respectively, xi is a charging and discharging coefficient, xi is 1 when the energy storage battery pack is discharged, xi is 2 when the energy storage battery pack is charged, delta t is a simulation time step length,
Figure FDA0003097424060000039
for the input and output power of the energy storage battery pack, the calculation process is as follows:
Figure FDA0003097424060000037
in the above formula, the first and second carbon atoms are,
Figure FDA0003097424060000038
the inverter is rated for power.
5. The modeling method for the construction scale of the micro-grid reverse osmosis seawater desalination technology as claimed in claim 1, wherein the specific calculation process in step 4 is as follows:
step 4.1, rated power of inverter
Figure FDA0003097424060000041
The calculation process is as follows:
Figure FDA0003097424060000042
in the above formula, NROThe number of the seawater desalination units is the same as the number of the seawater desalination units,
Figure FDA0003097424060000043
power required for a single seawater desalination unit, niConverting the efficiency of the inverter;
step 4.2, maximum capacity W of water storage tankTANKThe calculation process is as follows:
Wmin≤Wi(t)≤WTANK (14);
in the above formula, WminMinimum allowable water quantity of water storage tank, Wi(t) the amount of water stored in the water storage tank at time t, and the calculation process is as follows:
Figure FDA0003097424060000044
in the above formula, the first and second carbon atoms are,
Figure FDA0003097424060000045
fresh water yield of a single seawater desalination unit, Ww(t) is the water load demand.
6. The modeling method for the construction scale of the micro-grid reverse osmosis seawater desalination technology as claimed in claim 1, wherein the specific calculation process of the total construction cost LCC of the seawater desalination technology in the step 5 is as follows:
LCC=LCCPV+LCCWG+LCCBAT+LCCch+LCCTANK+LCCRO (16);
in the above formula, LCCPVFor photovoltaic panel construction cost, LCCWGCost of construction for wind turbines, LCCBATFor energy storage battery pack construction cost, LCCchFor the construction cost of battery chargers, LCCTANKFor water storage tank construction cost, LCCINVCost of inverter construction;
wherein, photovoltaic panel construction cost LCCPVThe calculation process is as follows:
LCCPV=NPV·(CPV+20·MPV) (17);
in the above formula, CPVFor the investment cost of a single photovoltaic module, MPVAnnual maintenance costs for the photovoltaic module;
wind turbine construction cost LCCWGThe calculation process is as follows:
LCCWG=NWG·(CWG+20·MWG+h·Ch+20·h·Mh) (18);
in the above formula, CWGFor investment costs of individual wind turbines, MWGAnnual maintenance costs for wind turbines, ChCapital cost of tower installation for wind turbines, MhTower year maintenance costs for wind turbine installation;
energy storage battery pack construction cost LCCBATThe calculation process is as follows:
LCCBAT=NBAT·[CBAT+YBAT·CBAT+(20-YBAT-1)·MBAT] (19);
in the above formula, CBATFor the investment cost of a single energy storage battery, MBATFor annual maintenance costs of energy-storing batteries, YBATThe replacement times of the energy storage battery for 20 years of operation;
storage battery charger construction cost LCCchThe calculation process is as follows:
Figure FDA0003097424060000051
in the above formula, the first and second carbon atoms are,
Figure FDA0003097424060000052
in order to account for the investment cost of a single battery charger,
Figure FDA0003097424060000053
for the annual maintenance cost of the battery charger,
Figure FDA0003097424060000054
the number of times of battery charger replacement for 20 years of operation;
water storage tank construction cost LCCTANKThe calculation process is as follows:
LCCTANK=WTANK·[CTANK+20·MTANK] (21);
in the above formula, CTANKFor investment costs of individual storage tanks, MTANKAnnual maintenance costs for the storage tank;
seawater desalination unit construction cost LCCROThe calculation process is as follows:
LCCRO=NRO·[CRO+20·MRO+CINV·(YINV+1)+MINV·(20-YINV-1)] (22);
in the above formula, CROFor the investment cost of a single seawater desalination unit, MROAnnual maintenance costs for the seawater desalination units, CINVFor investment costs of a single inverter, MINVFor annual maintenance costs of the inverter, YINVInverter replacement times for 20 years of operation.
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Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2014153946A1 (en) * 2013-03-27 2014-10-02 国网浙江省电力公司电力科学研究院 Optimization method for independent micro-grid system
US20140297051A1 (en) * 2013-03-26 2014-10-02 Northeastern University Energy resource-grid-load automatic control system of smart microgrid and control methods thereof
KR101516175B1 (en) * 2014-03-05 2015-05-04 광주과학기술원 Method for Optimizing the Arrangement of RO Membrane Modules
CN111382901A (en) * 2020-02-25 2020-07-07 沈阳工业大学 Modeling method of reverse osmosis seawater desalination plant
CN112464471A (en) * 2020-11-25 2021-03-09 国网辽宁省电力有限公司 Modeling method of reverse osmosis seawater desalination system
CN112488378A (en) * 2020-11-25 2021-03-12 国网辽宁省电力有限公司 Cost modeling method for renewable energy driven reverse osmosis seawater desalination technology
CN112600209A (en) * 2020-12-11 2021-04-02 湖北工业大学 Multi-objective capacity optimization configuration method for island independent micro-grid containing tidal current energy

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140297051A1 (en) * 2013-03-26 2014-10-02 Northeastern University Energy resource-grid-load automatic control system of smart microgrid and control methods thereof
WO2014153946A1 (en) * 2013-03-27 2014-10-02 国网浙江省电力公司电力科学研究院 Optimization method for independent micro-grid system
KR101516175B1 (en) * 2014-03-05 2015-05-04 광주과학기술원 Method for Optimizing the Arrangement of RO Membrane Modules
CN111382901A (en) * 2020-02-25 2020-07-07 沈阳工业大学 Modeling method of reverse osmosis seawater desalination plant
CN112464471A (en) * 2020-11-25 2021-03-09 国网辽宁省电力有限公司 Modeling method of reverse osmosis seawater desalination system
CN112488378A (en) * 2020-11-25 2021-03-12 国网辽宁省电力有限公司 Cost modeling method for renewable energy driven reverse osmosis seawater desalination technology
CN112600209A (en) * 2020-12-11 2021-04-02 湖北工业大学 Multi-objective capacity optimization configuration method for island independent micro-grid containing tidal current energy

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
周杰;吴进军;于革刚;杨友胜;: "反渗透海水淡化动力转化方式浅析", 液压气动与密封, no. 02 *

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