CN109726443A - A kind of method and apparatus of optimization cold-hot combined supply system installation size - Google Patents
A kind of method and apparatus of optimization cold-hot combined supply system installation size Download PDFInfo
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- CN109726443A CN109726443A CN201811478729.4A CN201811478729A CN109726443A CN 109726443 A CN109726443 A CN 109726443A CN 201811478729 A CN201811478729 A CN 201811478729A CN 109726443 A CN109726443 A CN 109726443A
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Abstract
The invention discloses a kind of method and apparatus of optimization cold-hot combined supply system installation size, and this method may include: S1: by load prediction respectively obtain refrigeration duty and thermic load in entirely energy supply season corresponding load curve；S2: the load curve of the refrigeration duty and the load curve of the thermic load are integrated, cooling and heating load ordering chart is obtained；S3: the installation size of cold and heat combined supply equipment is determined according to the cooling and heating load ordering chart.By refrigeration duty and thermic load, the energy supply cost of each component devices in the load ordering chart combination cold-hot combined supply system in energy supply season obtains installation size to the present invention, to effectively increase the calculating accuracy of cold-hot combined supply system installation size, and simply easily realizes.
Description
Technical field
The present invention relates to cold-hot combined supply system technical field, in particular to a kind of optimization cold-hot combined supply system installation size
Method and apparatus.
Background technique
Currently, cold supply system would generally use trilogy supply, ground source heat during progress ENERGY PLANNING does lectotype selection
The equipment such as pump, electric refrigerating machine, direct-fired machine, heating system would generally use trilogy supply, earth source heat pump, direct-fired machine, gas fired-boiler etc.
Equipment, due to trilogy supply, earth source heat pump, direct-fired machine be suitable for it is cold and hot, so in the related art lectotype selection when, often
Comprehensively consider the installation of cold and heat combined supply equipment.
It in the prior art, is to calculate separately co-feeding system in cooling supply and the equipment in heat supply period installation size, reselection
Final equipment installation size of the smaller installation size as the system in two installations.But this method only by
Simple relatively co-feeding system carries out the selection of final equipment installation size in cooling supply and the equipment in heat supply period installation stool and urine,
Therefore, the installation size of the cold-hot combined supply system obtained is not relatively inexpensive mode, and there are still biggish rooms for promotion.
Summary of the invention
The embodiment of the invention provides a kind of method and apparatus of optimization cold-hot combined supply system installation size, can not have
Each component devices installation size calculates accuracy, and simple easily realization in effect ground raising cold-hot combined supply system.
In a first aspect, the embodiment of the invention provides a kind of method of optimization cold-hot combined supply system installation size, this method
Include:
S1: by load prediction respectively obtain refrigeration duty and thermic load in entirely energy supply season corresponding load curve；
S2: the load curve of the refrigeration duty and the load curve of the thermic load are integrated, cooling and heating load ordering chart is obtained；
S3: the installation size of cold and heat combined supply equipment is determined according to the cooling and heating load ordering chart.
The method of the optimization cold-hot combined supply system installation size of the embodiment of the present invention, is being energized by refrigeration duty and thermic load
The energy supply cost of each component devices in the load ordering chart combination cold-hot combined supply system in season obtains installation size, to effectively mention
The high calculating accuracy of cold-hot combined supply system installation size, and simple easily realize.
Preferably, the detailed process of step S2 includes:
S21: it is obtained respectively according to the load curve of the load curve of the refrigeration duty and the thermic load corresponding cold negative
Lotus ordering chart and thermic load ordering chart；
S22: the refrigeration duty ordering chart and the thermic load ordering chart are integrated, cooling and heating load ordering chart is obtained.
Preferably, the detailed process of step S21 are as follows: respectively according to time and installation size, by the load of the refrigeration duty
The numerical value of curve and the load curve of the thermic load is ranked up in certain sequence respectively, to respectively obtain the refrigeration duty row
Sequence figure and the thermic load ordering chart；
The detailed process of step S22 are as follows: integrate the refrigeration duty ordering chart and the thermic load ordering chart and according to certain
Sequence is ranked up, and obtains cooling and heating load ordering chart.
Preferably, before step S3, should also include:
Calculate the energy supply cost of each component devices in cold-hot combined supply system.
Preferably, the detailed process of step S3 are as follows:
Cold-hot combined supply system is determined according to corresponding relationship of the energy supply cost of each component devices in cooling and heating load ordering chart
In each component devices installation size.
Second aspect, the embodiment of the invention provides a kind of device of optimization cold-hot combined supply system installation size, the devices
It include: that curve prediction module, load integrate module and installation determining module, wherein
The curve prediction module, for by load prediction respectively obtain refrigeration duty and thermic load in entirely energy supply season
Corresponding load curve；
The load integrates module, for integrate the refrigeration duty that the curve prediction module obtains load curve and
The load curve of the thermic load obtains cooling and heating load ordering chart；
The installation determining module is determined for integrating the cooling and heating load ordering chart that module obtains according to the load
The installation size of cold and heat combined supply equipment.
The device of the optimization cold-hot combined supply system installation size of the embodiment of the present invention, is being energized by refrigeration duty and thermic load
The energy supply cost of each component devices in the load ordering chart combination cold-hot combined supply system in season obtains installation size, to effectively mention
The high calculating accuracy of cold-hot combined supply system installation size, and simple easily realize.
Preferably, it includes the first sequencing unit and the second sequencing unit that the load, which integrates module, wherein
The load of first sequencing unit, the refrigeration duty for being obtained respectively according to the curve prediction module is bent
Line and the load curve of the thermic load obtain corresponding refrigeration duty ordering chart and thermic load ordering chart；
Second sequencing unit, for integrating the refrigeration duty ordering chart that first sequencing unit obtains and described
Thermic load ordering chart obtains cooling and heating load ordering chart.
Preferably, first sequencing unit is specifically used for respectively according to time and installation size, by the curve prediction
The numerical value of the load curve of the load curve and thermic load for the refrigeration duty that module obtains carries out in certain sequence respectively
Sequence, to respectively obtain the refrigeration duty ordering chart and the thermic load ordering chart；
Second sequencing unit be specifically used for integrating the refrigeration duty ordering chart that first sequencing unit obtains and
The thermic load ordering chart is simultaneously ranked up according to certain sequence, obtains cooling and heating load ordering chart.
Preferably, device further include: cost calculation module, wherein
The cost calculation module, for calculating the energy supply cost of each component devices in cold-hot combined supply system.
Preferably, the installation determining module is specifically used for each component devices calculated according to the cost calculation module
Energize the installation size that corresponding relationship of the cost in cooling and heating load ordering chart determines each component devices in cold-hot combined supply system.
Compared with prior art, the present invention at least has the advantages that
The present invention is respectively made up of in the load ordering chart combination cold-hot combined supply system in energy supply season refrigeration duty and thermic load
The energy supply cost of equipment obtains installation size, so that the calculating accuracy of cold-hot combined supply system installation size is effectively increased, and
And simple easily realization.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is the present invention
Some embodiments for those of ordinary skill in the art without creative efforts, can also basis
These attached drawings obtain other attached drawings.
Fig. 1 is a kind of method flow diagram of optimization cold-hot combined supply system installation size provided by one embodiment of the present invention；
Fig. 2 is the method flow of another optimization cold-hot combined supply system installation size provided by one embodiment of the present invention
Figure；
Fig. 3 is a kind of load curve for cold season indicated with 24 hours provided by one embodiment of the present invention；
Fig. 4 is a kind of load curve for the hot season indicated with 24 hours provided by one embodiment of the present invention；
Fig. 5 is a kind of refrigeration duty ordering chart provided by one embodiment of the present invention；
Fig. 6 is a kind of thermic load ordering chart provided by one embodiment of the present invention；
Fig. 7 is a kind of cooling and heating load ordering chart provided by one embodiment of the present invention；
Fig. 8 is a kind of result figure of each component devices energy supply cost calculation provided by one embodiment of the present invention；
Fig. 9 is a kind of device block diagram of optimization cold-hot combined supply system installation size provided by one embodiment of the present invention；
Figure 10 is the device block diagram of another optimization cold-hot combined supply system installation size provided by one embodiment of the present invention；
Figure 11 is the device block diagram of another optimization cold-hot combined supply system installation size provided by one embodiment of the present invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments, based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
As shown in Figure 1, the embodiment of the invention provides a kind of method of optimization cold-hot combined supply system installation size, this method
It may comprise steps of:
S1: by load prediction respectively obtain refrigeration duty and thermic load in entirely energy supply season corresponding load curve；
S2: the load curve of the refrigeration duty and the load curve of the thermic load are integrated, cooling and heating load ordering chart is obtained；
S3: the installation size of cold and heat combined supply equipment is determined according to the cooling and heating load ordering chart.
In this embodiment, first by load prediction in the load curve in entirely energy supply season, refrigeration duty is then integrated
Load curve states the load curve of thermic load, and the installation size of cold and heat combined supply equipment is finally determined according to cooling and heating load ordering chart.
Load ordering chart by refrigeration duty and thermic load in energy supply season obtains installation size, to effectively increase cold and heat combined supply system
The calculating accuracy of bulk cargo machine size, and simple easily realization.
It illustrates, it is assumed that in duration 2400 hours cooling supply season, for hot season duration 2400 hours, pressed according to load prediction results
It is recorded for energy according to the time sequencing of cooling supply by different time is corresponding, finally obtains refrigeration duty entirely for the negative of cold season
Lotus curve；Similarly, it is recorded for energy according to the time sequencing of heat supply by different time is corresponding according to load prediction results,
Thermic load is finally obtained entirely for the load curve in hot season.
In an embodiment of the invention, the detailed process of step S2 includes:
S21: it is obtained respectively according to the load curve of the load curve of the refrigeration duty and the thermic load corresponding cold negative
Lotus ordering chart and thermic load ordering chart；
S22: the refrigeration duty ordering chart and the thermic load ordering chart are integrated, cooling and heating load ordering chart is obtained.
In this embodiment, according to hot and cold load chart obtained above, and then refrigeration duty and thermic load are respectively obtained
Ordering chart, cooling and heating load ordering chart is further obtained according to the ordering chart of refrigeration duty and thermic load.
In an embodiment of the invention, the detailed process of step S21 are as follows: respectively according to time and installation size, by institute
The numerical value for stating the load curve of refrigeration duty and the load curve of the thermic load is ranked up in certain sequence respectively, to obtain respectively
To the refrigeration duty ordering chart and the thermic load ordering chart；
The detailed process of step S22 are as follows: integrate the refrigeration duty ordering chart and the thermic load ordering chart and according to certain
Sequence is ranked up, and obtains cooling and heating load ordering chart.
In this embodiment, using duration as the abscissa of refrigeration duty ordering chart, the corresponding duration of each numerical value is single
Position duration, i.e., 1 hour；Using install size as refrigeration duty ordering chart ordinate.It is ranked up in a certain order, it can be with
It is that numerical value is also possible to numerical value from small to large from big to small, draws refrigeration duty ordering chart by the data of the load curve of refrigeration duty；
Similarly, using duration as the abscissa of thermic load ordering chart, the corresponding duration of each numerical value is unit time, i.e., 1 hour；With
Ordinate of the size of installing as thermic load ordering chart.It is ranked up in a certain order, can be from big to small can also be with
It is from small to large, to draw thermic load ordering chart by the data of the load curve of thermic load.According to obtained refrigeration duty ordering chart and
Thermic load ordering chart, since the abscissa of refrigeration duty ordering chart and thermic load ordering chart is duration, ordinate is that installation is big
It is small, two ordering charts can be merged, to, using size of installing as ordinate, be integrated cold using duration as abscissa
All numerical value of load ordering chart and thermic load ordering chart are ranked up, and sequence can be numerical value and be also possible to numerical value from big to small
From small to large to obtain cooling and heating load ordering chart.
In an embodiment of the invention, before step S3, should also include:
Calculate the energy supply cost of each component devices in cold-hot combined supply system.
It in this embodiment, mainly include earth source heat pump, trilogy supply CCHP for cold and heat combined supply equipment
The equipment such as (Combined Cooling Heating and Power, Combined Heating Cooling And Power), direct-fired machine.Quantization can be passed through
Filtering algorithm calculates the energy supply cost of three kinds of equipment.
In an embodiment of the invention, the detailed process of step S3 are as follows:
Cold-hot combined supply system is determined according to corresponding relationship of the energy supply cost of each component devices in cooling and heating load ordering chart
In each component devices installation size.
In this embodiment, the cost determination type selecting priority of each component devices is energized and according to each component devices
Energize the installation size that corresponding relationship of the cost in cooling and heating load ordering chart determines each component devices in cold-hot combined supply system.
Method provided by the invention is illustrated in order to be more clear, and method provided by the invention is carried out below in conjunction with reality
Statement in detail.
As shown in Fig. 2, the embodiment of the invention provides a kind of method of optimization cold-hot combined supply system installation size, this method
It may comprise steps of:
S1: by load prediction respectively obtain refrigeration duty and thermic load in entirely energy supply season corresponding load curve.
In this step, it is assumed that for cold season duration 2400 hours, for hot season duration 2400 hours, according to load prediction results
It is recorded for energy according to the time sequencing of cooling supply by different time is corresponding, finally obtains refrigeration duty entirely for cold season
Load curve；Similarly, it is recorded for energy according to the time sequencing of heat supply by different time is corresponding according to load prediction results
Come, finally obtains thermic load entirely for the load curve in hot season.As shown in Figures 3 and 4, using abscissa as the time, each
The corresponding duration of numerical value is all unit time, i.e., 1 hour, using ordinate as installation size, unit was megawatt MW, is respectively supplied
The load curve of cold season and load curve for the hot season, since 2400 hour time is too long, shown by chart it is unclear, in order to
Description image, will shorten to 24 hours one day for cold season duration 2400 hours, will shorten within 2400 hours for hot season duration
24 hours one day.
S21: respectively according to time and installation size, the load curve of the refrigeration duty and the load of the thermic load is bent
The numerical value of line is ranked up in certain sequence respectively, to respectively obtain the refrigeration duty ordering chart and the thermic load ordering chart.
In this step, using duration as the abscissa of refrigeration duty ordering chart, the corresponding duration of each numerical value is unit
Duration, i.e., 1 hour；Using size of installing as the ordinate of refrigeration duty ordering chart, unit is megawatt MW.In a certain order into
Row sequence, can be numerical value and is also possible to numerical value from big to small from small to large, be drawn by the data of the load curve of refrigeration duty cold
Load ordering chart；Similarly, using duration as the abscissa of thermic load ordering chart, when the corresponding duration of each numerical value is unit
It is long, i.e., 1 hour；Using install size as thermic load ordering chart ordinate.Be ranked up in a certain order, can be from
Arrive greatly it is small be also possible to from small to large, by thermic load load curve data draw thermic load ordering chart.As shown in figure 5, pressing
It is ranked up from big to small according to numerical value, the refrigeration duty ordering chart that the data of the load curve of refrigeration duty are drawn；As shown in fig. 6,
It is ranked up from big to small according to numerical value, the thermic load ordering chart that the data of the load curve of thermic load are drawn.
S22: the refrigeration duty ordering chart and the thermic load ordering chart integrate and arrange according to certain sequence
Sequence obtains cooling and heating load ordering chart.
In this step, according to obtained refrigeration duty ordering chart and thermic load ordering chart, due to refrigeration duty ordering chart and heat
The abscissa of load ordering chart is duration, and ordinate is installation size, two ordering charts can be merged, thus with
Duration integrates all numerical value of refrigeration duty ordering chart and thermic load ordering chart using size of installing as ordinate as abscissa
It is ranked up, sequence can be numerical value and be also possible to numerical value from big to small from small to large to obtain cooling and heating load ordering chart.Such as
Shown in Fig. 7, it is ranked up to obtain cooling and heating load ordering chart from big to small according to numerical value.
N1: the energy supply cost of each component devices in cold-hot combined supply system is calculated.
It in this step, mainly include earth source heat pump, trilogy supply CCHP, direct-fired machine for cold and heat combined supply equipment
Etc. equipment.The energy supply cost of three kinds of equipment can be calculated by quantization filtering algorithm.As shown in figure 8, representing two kinds in point of intersection
The intersection point of the optimal result of equipment.
S3: cold and heat combined supply system is determined according to corresponding relationship of the energy supply cost of each component devices in cooling and heating load ordering chart
The installation size of each component devices in system.
In this step, energy supply cost determination in the step N1 type selecting priority of each component devices, is first depending on
The intersection point of the rightmost side determines first device in Fig. 8, and first device is CCHP as can be seen from Figure 8, and intersection point is about 1500 small
When or so, the determination of CCHP installation size is carried out further according to the cooling and heating load ordering chart in step S22.Due in step S22
Cooling and heating load ordering chart was made using 48 hours, and made in step N1 using annual 4380 hours, then in step N1
General 16 hours or so of cooling and heating load ordering chart in 1500 hours rapid S22 of correspondence were determined corresponding by 16 hours or so
The installation size of CCHP.
Similarly, according to second intersection point in Fig. 8, the i.e. optimal result of two kinds of equipment of CCHP and earth source heat pump.It can be with from Fig. 8
Intersection point is found out at about 1300 hours or so, carries out CCHP and earth source heat pump further according to the cooling and heating load ordering chart in step S22
The determination of total installation size.Since the cooling and heating load ordering chart in step S22 was made using 48 hours, and adopted in step N1
It is to make for annual 4380 hours, then general 14 of the cooling and heating load ordering chart in step N1 in 1300 hours rapid S22 of correspondence are small
When or so, by the total installation size of 14 hours or so determining corresponding CCHP and earth source heat pump, above-mentioned CCHP is then subtracted again
Installation size to get arrive earth source heat pump installation size.
Similarly, according to leftmost intersection point, the i.e. optimal result of two kinds of equipment of earth source heat pump and direct-fired machine in Fig. 8.From Fig. 8
Intersection point be can be seen that at about 800 hours or so, further according to the cooling and heating load ordering chart progress earth source heat pump in step S22 and directly
The determination of the total installation size of combustion engine.Since the cooling and heating load ordering chart in step S22 was made using 48 hours, and step N1
In made using annual 4380 hours, then general 8 of the cooling and heating load ordering chart in step N1 in 800 hours rapid S22 of correspondence
Hour or so, corresponding earth source heat pump and the installation size that direct-fired machine adds up to were determined by 8 hours or so, were then subtracted again above-mentionedly
The installation size of source heat pump is to get the installation size for arriving direct-fired machine.
The present invention is respectively made up of in the load ordering chart combination cold-hot combined supply system in energy supply season refrigeration duty and thermic load
The energy supply cost of equipment obtains installation size, so that the calculating accuracy of cold-hot combined supply system installation size is effectively increased, and
And simple easily realization.
As shown in figure 9, the embodiment of the invention provides a kind of device of optimization cold-hot combined supply system installation size, the device
It may include: that curve prediction module, load integrate module and installation determining module, wherein
The curve prediction module, for by load prediction respectively obtain refrigeration duty and thermic load in entirely energy supply season
Corresponding load curve；
The load integrates module, for integrate the refrigeration duty that the curve prediction module obtains load curve and
The load curve of the thermic load obtains cooling and heating load ordering chart；
The installation determining module is determined for integrating the cooling and heating load ordering chart that module obtains according to the load
The installation size of cold and heat combined supply equipment.
As shown in Figure 10, in an embodiment of the invention, it includes the first sequencing unit and that the load, which integrates module,
Two sequencing units, wherein
The load of first sequencing unit, the refrigeration duty for being obtained respectively according to the curve prediction module is bent
Line and the load curve of the thermic load obtain corresponding refrigeration duty ordering chart and thermic load ordering chart；
Second sequencing unit, the refrigeration duty ordering chart and the heat for obtaining first sequencing unit
Load ordering chart is integrated, and cooling and heating load ordering chart is obtained.
In an embodiment of the invention, first sequencing unit be specifically used for respectively according to the time and installation size,
The numerical value of the load curve of the load curve and thermic load for the refrigeration duty that the curve prediction module is obtained is distinguished
It is ranked up in certain sequence, to respectively obtain the refrigeration duty ordering chart and the thermic load ordering chart；
Second sequencing unit is specifically used for the refrigeration duty ordering chart for obtaining first sequencing unit and institute
It states thermic load ordering chart integrate and be ranked up according to certain sequence, obtains cooling and heating load ordering chart.
As shown in figure 11, in an embodiment of the invention, device further include: cost calculation module, wherein
The cost calculation module, for calculating the energy supply cost of each component devices in cold-hot combined supply system.
In an embodiment of the invention, the installation determining module is specifically used for being calculated according to the cost calculation module
Corresponding relationship of the energy supply cost in cooling and heating load ordering chart of each component devices determine that respectively composition is set in cold-hot combined supply system
Standby installation size.
The contents such as information exchange, the implementation procedure between each module in above-mentioned apparatus, due to implementing with the method for the present invention
Example is based on same design, and for details, please refer to the description in the embodiment of the method for the present invention, and details are not described herein again.
It should be noted that, in this document, such as first and second etc relational terms are used merely to an entity
Or operation is distinguished with another entity or operation, is existed without necessarily requiring or implying between these entities or operation
Any actual relationship or order.Moreover, the terms "include", "comprise" or its any other variant be intended to it is non-
It is exclusive to include, so that the process, method, article or equipment for including a series of elements not only includes those elements,
It but also including other elements that are not explicitly listed, or further include solid by this process, method, article or equipment
Some elements.In the absence of more restrictions, the element limited by sentence " including one ", is not arranged
Except there is also other identical factors in the process, method, article or apparatus that includes the element.
Those of ordinary skill in the art will appreciate that: realize that all or part of the steps of above method embodiment can pass through
The relevant hardware of program instruction is completed, and program above-mentioned can store in computer-readable storage medium, the program
When being executed, step including the steps of the foregoing method embodiments is executed；And storage medium above-mentioned includes: ROM, RAM, magnetic disk or light
In the various media that can store program code such as disk.
Finally, it should be noted that the foregoing is merely presently preferred embodiments of the present invention, it is merely to illustrate skill of the invention
Art scheme, is not intended to limit the scope of the present invention.Any modification for being made all within the spirits and principles of the present invention,
Equivalent replacement, improvement etc., are included within the scope of protection of the present invention.
Claims (10)
1. a kind of method of optimization cold-hot combined supply system installation size, which is characterized in that this method comprises:
S1: by load prediction respectively obtain refrigeration duty and thermic load in entirely energy supply season corresponding load curve；
S2: the load curve of the refrigeration duty and the load curve of the thermic load are integrated, cooling and heating load ordering chart is obtained；
S3: the installation size of cold and heat combined supply equipment is determined according to the cooling and heating load ordering chart.
2. the method for optimization cold-hot combined supply system installation size according to claim 1, which is characterized in that step S2's is specific
Process includes:
S21: corresponding refrigeration duty is obtained according to the load curve of the load curve of the refrigeration duty and the thermic load respectively and is arranged
Sequence figure and thermic load ordering chart；
S22: the refrigeration duty ordering chart and the thermic load ordering chart are integrated, cooling and heating load ordering chart is obtained.
3. the method for optimization cold-hot combined supply system installation size according to claim 2, which is characterized in that
The detailed process of step S21 are as follows: respectively according to time and installation size, by the load curve of the refrigeration duty and the heat
The numerical value of the load curve of load is ranked up in certain sequence respectively, to respectively obtain the refrigeration duty ordering chart and the heat
Load ordering chart；
The detailed process of step S22 are as follows: the refrigeration duty ordering chart and the thermic load ordering chart are subjected to integration and according to one
It is fixed to be sequentially ranked up, obtain cooling and heating load ordering chart.
4. according to claim 1 optimization cold-hot combined supply system installation size method, which is characterized in that step S3 it
Before, should also include:
Calculate the energy supply cost of each component devices in cold-hot combined supply system.
5. the method for optimization cold-hot combined supply system installation size according to claim 4, which is characterized in that step S3's is specific
Process are as follows:
It is determined according to corresponding relationship of the energy supply cost of each component devices in cooling and heating load ordering chart each in cold-hot combined supply system
The installation size of component devices.
6. it is a kind of optimization cold-hot combined supply system installation size device, which is characterized in that the device include: curve prediction module,
Load integrates module and installation determining module, wherein
The curve prediction module, for respectively obtaining answering in entirely energy supply aspect for refrigeration duty and thermic load by load prediction
Load curve；
The load integrates module, for integrating the load curve of the refrigeration duty that the curve prediction module obtains and described
The load curve of thermic load obtains cooling and heating load ordering chart；
The installation determining module, for according to the load integrate the cooling and heating load ordering chart that module obtains determine it is cold and hot
The installation size of joint supply facilities.
7. the device of optimization cold-hot combined supply system installation size according to claim 6, which is characterized in that the load integration
Module includes the first sequencing unit and the second sequencing unit, wherein
First sequencing unit, the load curve of the refrigeration duty for being obtained respectively according to the curve prediction module and
The load curve of the thermic load obtains corresponding refrigeration duty ordering chart and thermic load ordering chart；
Second sequencing unit, the refrigeration duty ordering chart and the thermic load for obtaining first sequencing unit
Ordering chart is integrated, and cooling and heating load ordering chart is obtained.
8. the device of optimization cold-hot combined supply system installation size according to claim 7, which is characterized in that
First sequencing unit is specifically used for respectively according to time and installation size, the institute that the curve prediction module is obtained
The numerical value for stating the load curve of refrigeration duty and the load curve of the thermic load is ranked up in certain sequence respectively, to obtain respectively
To the refrigeration duty ordering chart and the thermic load ordering chart；
Second sequencing unit is specifically used for the refrigeration duty ordering chart for obtaining first sequencing unit and the heat
Load ordering chart integrate and be ranked up according to certain sequence, obtains cooling and heating load ordering chart.
9. the device of optimization cold-hot combined supply system installation size according to claim 6, which is characterized in that the device also wraps
It includes: cost calculation module, wherein
The cost calculation module, for calculating the energy supply cost of each component devices in cold-hot combined supply system.
10. the device of optimization cold-hot combined supply system installation size according to claim 9, which is characterized in that the installation is true
Cover half block is specifically used for the energy supply cost of each component devices calculated according to the cost calculation module in cooling and heating load ordering chart
In corresponding relationship determine the installation sizes of each component devices in cold-hot combined supply system.
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| CN110390482A (en) * | 2019-07-23 | 2019-10-29 | 廊坊新奥泛能网络科技服务有限公司 | It builds together the selection method and system of powering device |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105305472A (en) * | 2015-09-25 | 2016-02-03 | 清华大学 | Transformer substation capacity optimization method based on multi-energy collaborative energy supply |
| CN108647471A (en) * | 2018-05-30 | 2018-10-12 | 新奥泛能网络科技有限公司 | The computational methods and device of cold and heat combined supply equipment installation |
| CN108805363A (en) * | 2018-06-25 | 2018-11-13 | 中国能源建设集团广东省电力设计研究院有限公司 | Cooling heating and power generation system constant volume method and device |
-
2018
- 2018-12-05 CN CN201811478729.4A patent/CN109726443A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105305472A (en) * | 2015-09-25 | 2016-02-03 | 清华大学 | Transformer substation capacity optimization method based on multi-energy collaborative energy supply |
| CN108647471A (en) * | 2018-05-30 | 2018-10-12 | 新奥泛能网络科技有限公司 | The computational methods and device of cold and heat combined supply equipment installation |
| CN108805363A (en) * | 2018-06-25 | 2018-11-13 | 中国能源建设集团广东省电力设计研究院有限公司 | Cooling heating and power generation system constant volume method and device |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110390482A (en) * | 2019-07-23 | 2019-10-29 | 廊坊新奥泛能网络科技服务有限公司 | It builds together the selection method and system of powering device |
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