CN108830932A - A kind of volumed space building energy consumption prediction technique coupled based on EnergyPlus with CFD - Google Patents
A kind of volumed space building energy consumption prediction technique coupled based on EnergyPlus with CFD Download PDFInfo
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Abstract
The invention discloses a kind of volumed space building energy consumption prediction techniques coupled based on EnergyPlus with CFD, the internal surface temperature of volumed space building wall is calculated by EnergyPlus simulation of energy consumption software, temperature boundary condition as CFD software simulation, and the inner surface convection transfer rate and indoor temperature field of wall are calculated with CFD, energy consumption calculation is carried out using inner surface convection transfer rate and indoor temperature field as the primary condition of EnergyPlus, obtains the simulation of energy consumption result based on EnergyPlus and CFD couple strategy.This method can reduce simulation of energy consumption error caused by thermal stratification, to increase the accuracy of simulation of energy consumption, validity and reliability, have a very important significance to the calculating of green building energy consumption analysis.
Description
Technical field
The present invention relates to building energy consumption electric powder predictions, and in particular to a kind of to be coupled with CFD based on EnergyPlus
Volumed space building energy consumption prediction technique.
Background technique
With the exacerbation of energy crisis, the design of energy saving building is more and more paid attention to.In order to reduce energy consumption,
It needs to predict the energy consumption level of building, to carry out energy-saving design.At this stage, using simulation of energy consumption software to building
It is the prediction most common method of building energy consumption level that energy consumption, which carries out simulation,.For simulation of energy consumption software when calculating, default is indoor
Air is thoroughly mixed, however, actual conditions are, for volumed space building, due to gravity, inner air be will form certainly
Right convection current, the lesser hot-air of density rise, and the biggish cold air decline of density eventually leads to thermal stratification.By thermally stratified layer
The influence of phenomenon, simulation of energy consumption software will necessarily generate certain error when carrying out energy consumption calculation to volumed space building, to make
It is not inconsistent at analog result with actual conditions or even differs larger.
Summary of the invention
Aiming at the problems existing in the prior art, in order to reduce simulation of energy consumption error caused by thermal stratification, increase energy
The accuracy of simulation is consumed, the present invention provides one kind and (it is dynamic to calculate fluid based on EnergyPlus (energy simulation software) and CFD
Machine software) coupling volumed space building energy consumption prediction technique, can reduce simulation error, improve accuracy.
The technical scheme adopted by the invention is that：A kind of volumed space building energy consumption coupled based on EnergyPlus with CFD
Prediction technique includes the following steps：
(1) relevant information for studying building is collected, including：Where architectural plan, architectural exterior-protecting construction information, building
Ground typical meteorological annual data, interior architecture environment design parameter, heating ventilation air-conditioning system information, indoor occupant action message, power consumption
Facility information, illuminator information；
(2) according to the architectural plan for studying building, CFD model and EnergyPlus model are established；
(3) the EnergyPlus model for being established step (2) imports in EnergyPlus, setting heat transfer algorithm, successively
Architectural exterior-protecting construction information, building location typical meteorological annual data, interior architecture environment design ginseng in input step (1)
Number, heating ventilation air-conditioning system information, indoor occupant action message, current consuming apparatus information and illuminator information；Result output is set,
An EnergyPlus simulation of energy consumption is carried out, the internal surface temperature of construction wall is obtained；
(4) CFD model for being established step (2) imports in ICEM (pre-processing software), carries out grid dividing, and will draw
The grid divided imports in Fluent；The part side that the internal surface temperature of step (3) obtained construction wall is simulated as CFD
Boundary's condition entry carries out Simulation of interior heat environment into Fluent, in conjunction with the air port boundary condition set in Fluent；
(5) the inner surface convection transfer rate and indoor temperature field of construction wall are exported from Fluent, and by the room
Interior temperature field is integrated into indoor temperature distribution curve；
(6) will from step (5) the inner surface convection transfer rate of obtained construction wall and indoor temperature distribution it is bent
Line inputs in EnergyPlus, carries out secondary EnergyPlus simulation of energy consumption；
(7) to building progress energy consumption monitoring on the spot is studied, the actual measurement energy consumption data of the building is obtained；
(8) by the primary energy consumption data that step (3) obtains and secondary energy consumption data and step (7) that step (6) obtain
Obtained actual measurement energy consumption data compares and analyzes.
Further, in step (2), the CFD model is the three-dimensional established by SketchUp (sketch great master software)
Geometrical model, the EnergyPlus model are several by the three-dimensional of the plug-in unit Legacy OpenStudio foundation of SketchUp
What model.
The invention has the advantages that：The present invention calculates large space by EnergyPlus simulation of energy consumption software and builds
The internal surface temperature of walling body as the temperature boundary condition of CFD software simulation, and calculates with CFD the inner surface pair of wall
The coefficient of heat transfer and indoor temperature field are flowed, using inner surface convection transfer rate with indoor temperature field as the initial of EnergyPlus
Condition carries out energy consumption calculation, obtains the simulation of energy consumption based on EnergyPlus and CFD couple strategy as a result, it is possible to reduce thermally stratified layer
Simulation of energy consumption error caused by phenomenon, to increase the accuracy of simulation of energy consumption, validity and reliability, to green building energy consumption
Analytical calculation has a very important significance.
Detailed description of the invention
The illustraton of model that Fig. 1 builds by institute's research of the invention；
Fig. 2 is energy consumption prediction technique flow chart of the invention；
Fig. 3 is averaged indoor air temperature change with time rule figure obtained by EnergyPlus simulation of energy consumption of the present invention；
Fig. 4 is that indoor air temperature obtained by EnergyPlus simulation of energy consumption of the present invention is layered cloud atlas；
Fig. 5 is studied architecture indoor average temperature distribution curve graph by the present invention；
Fig. 6 is energy consumption percentage figure of itemizing obtained by the secondary EnergyPlus simulation of energy consumption of the present invention.
Specific embodiment
The invention discloses one kind based on EnergyPlus (energy simulation software) and CFD (computational fluid dynamics
Software) coupling volumed space building energy consumption prediction technique, include the following steps：
(1) relevant information for studying building is collected, including：Where architectural plan, architectural exterior-protecting construction information, building
Ground typical meteorological annual data, interior architecture environment design parameter, heating ventilation air-conditioning system information, indoor occupant action message, power consumption
Facility information, illuminator information；
(2) according to the architectural plan for studying building, CFD model and EnergyPlus model are established, wherein CFD mould
Type is the 3-D geometric model established by SketchUp (sketch great master software), and EnergyPlus model is to pass through SketchUp
Plug-in unit Legacy OpenStudio establish 3-D geometric model.
(3) the EnergyPlus model for being established step (2) imports in EnergyPlus, setting heat transfer algorithm, successively
Architectural exterior-protecting construction information, building location typical meteorological annual data, interior architecture environment design ginseng in input step (1)
Number, heating ventilation air-conditioning system information, indoor occupant action message, current consuming apparatus information and illuminator information；Result output is set,
An EnergyPlus simulation of energy consumption is carried out, the internal surface temperature of construction wall is obtained；
(4) CFD model for being established step (2) imports in ICEM (pre-processing software), carries out grid dividing, and will draw
The grid divided imports in Fluent；The part side that the internal surface temperature of step (3) obtained construction wall is simulated as CFD
Boundary's condition entry carries out Simulation of interior heat environment into Fluent, in conjunction with the air port boundary condition set in Fluent；
(5) the inner surface convection transfer rate and indoor temperature field of construction wall are exported from Fluent, and by the room
Interior temperature field is integrated into indoor temperature distribution curve；
(6) will from step (5) the inner surface convection transfer rate of obtained construction wall and indoor temperature distribution it is bent
Line inputs in EnergyPlus, carries out secondary EnergyPlus simulation of energy consumption；
(7) to building progress energy consumption monitoring on the spot is studied, the actual measurement energy consumption data of the building is obtained；
(8) by the primary energy consumption data that step (3) obtains and secondary energy consumption data and step (7) that step (6) obtain
Obtained actual measurement energy consumption data compares and analyzes.
Illustrate the validity and reliability of the method for the invention below with reference to a specific embodiment.
The embodiment is using a large space gymnasium as research object, totally three layers of the large space gymnasium, generally on
Under penetrating cylindrical body building, building lot area is 7558m2, overall floorage 12233m2, build total a height of 25.1m, one layer
High 6m, two layers of high 10.8m, three layers of high 8.3m.One layer of wall and three layers of a part of wall are straight exterior wall, two layers of wall with three layers separately
A part of wall is oblique exterior wall, and specific building enclosure information is as shown in table 1.According to GB50189-2015《Public building energy is set
Meter standard》It is required that the thermal property limit value of hot-summer and cold-winter area Class B public building roofing, exterior wall and window is respectively 0.7W/
(m2·K)、1W/(m2·K)、3W/(m2·K).In addition to roofing, the heat transfer coefficient of the main building enclosure in the gymnasium is being provided
Limit value hereinafter, therefore the gymnasium building enclosure thermal insulation property is preferable.
Buildings model is established using SketchUp according to the architectural plan in the gymnasium, as shown in Figure 1, EnergyPlus
It is all established by this method with buildings model used in Fluent software.
Using full air Constant air volume system, wind pushing form is top spout Lateral supply in the gymnasium, and three layers outer
It is provided with axial flow blower on window and carries out mechanical exhaust, has return air inlet and fire prevention return wind transom in gallery.Heating ventilation air-conditioning system is main
Equipment and model parameter are as shown in table 2.
According to the architecture information and air-conditioning information in the gymnasium, the energy consumption to the gymnasium in a certain match day carries out mould
Quasi-, meteorological data used is local typical meteorological annual data.8 Basketball Match, fixture is scheduled altogether in the match day
It is 8：00-20：00.During match, there are 1700 people in gymnasium, the air-conditioning system in gymnasium and the light and equipment of inside
It is all turned on.
The detailed process of the method for the invention is as shown in Fig. 2, firstly, in input meteorology, building information and People
After the primary condition such as (personnel), Lights (light), Equipments (equipment), HVAC (heating ventilation air-conditioning system), utilize
EnergyPlus carries out primary energy consumption simulation (non-coupled simulation), obtains the inner surface temperature of primary energy consumption data and construction wall
Degree.
Then, boundary condition internal surface temperature simulated as CFD carries out the flow field simulation of indoor thermal environment of building,
After CFD software iteration convergence, inner surface convection transfer rate and the temperature field of building are exported, analysis Temperature Distribution is simultaneously
Temperature distribution history is fitted, the slope of curve is input to the Room Air module of EnergyPlus, while by heat convection system
Number is input in EnergyPlus, is carried out secondary simulation of energy consumption (coupled simulation), is obtained secondary energy consumption data.
Finally, primary energy consumption to be simulated to the energy consumption data and reality of (non-coupled simulation), secondary simulation of energy consumption (coupled simulation)
The comparison of border energy consumption data, analyzes the validity of coupled simulation strategy.
Wherein, the main initial conditions of primary energy consumption simulation are as shown in table 3.
1 gymnasium building enclosure information of table
2 heating ventilation air-conditioning system capital equipment of table and model parameter
The primary condition of 3 EnergyPlus simulation of energy consumption of table
The studied architecture indoor air in the match day that Fig. 3 is obtained by an EnergyPlus simulation of energy consumption is average
The change with time rule of temperature.From figure 3, it can be seen that averaged indoor air temperature range is between 23 DEG C -26 DEG C, in night room
Mean temperature is slightly lower, close to outdoor environment temperature, from 7：00 temperature starts to be gradually increasing, and final temperature is stablized on 25 DEG C of left sides
It is right.This is because 7：00 time point opened for air-conditioning, and air-conditioning temperature is 25 DEG C, to 20：00, it is all when end of match
Air-conditioning and current consuming apparatus are closed, and sportsman leaves the theatre with spectators, and averaged indoor air temperature gradually declines.It is exported according to EnergyPlus
Wall-body energy saving temperature, in conjunction with air-conditioning inlet and outlet boundary condition to gymnasium inside thermal environment carry out flow field simulation.
The boundary condition of CFD software simulation is as shown in table 4.
The boundary condition of 4 CFD of table simulation
Fig. 4 show the local cloud atlas of gymnasium Inside Air Temperature layering, and the data unit in figure is DEG C.It can from Fig. 4
There are more apparent thermal stratification, within the scope of 0-18m, indoor air temperature in vertical direction to find out, inside gymnasium
Stablize at 25.5 DEG C；Within the scope of 18-25m, indoor air temperature is begun to ramp up, and temperature reaches 29 DEG C when close to top.It causes
The larger reason of upper and lower temperature difference inside gymnasium, be on the one hand because the dispersed heats such as indoor occupant, equipment and lamps and lanterns not
It is handled completely by air-conditioning system, hot-air, which is gradually increasing, converges in top；On the other hand, due to the huge rounded roof in gymnasium
A large amount of solar radiation heat is absorbed, partial heat is passed into inside gymnasium via heat and converged at top, therefore shape
At obvious thermal stratification.
It is by the specific method that indoor temperature field is integrated into indoor temperature distribution curve：One is taken every 1m in longitudinal height
Plane intercepts 25 planes altogether.Fig. 5 is the average temperature value of each plane, fits two temperature gradients using these scatterplots
Curve, 18m point are just the separation of two curves.The slope of curve of 0-18m is 0.0154, illustrates the temperature gradient in the region
For 0.0154 DEG C/m, temperature rises slower.The 18-25m slope of curve is 0.4471, illustrates that the temperature gradient in the region is 0.447
DEG C/m, the region temperature growth rate ratio 0-18m is fast.This two slopes of curve are input to Room Air in EnergyPlus software
In the Two Gradient option of module, which is suitable for the case where thermal stratification presses certain slope distribution with height, it
The CFD convection transfer rate calculated, which is input in EnergyPlus just, afterwards can be carried out secondary simulation of energy consumption, that is, coupling energy
Consumption simulation.
It after secondary simulation of energy consumption namely couples simulation of energy consumption, compares and analyzes, finds the energy consumption of secondary simulation
Data have certain increase than primary energy consumption data.As shown in data in table 5, Cooling (refrigeration) energy of coupled simulation generation
Loss-rate is non-coupled to have simulated more than data calculated 269.19kWh, increases 24.31%.In addition to this, with HVAC (HVAC
Air-conditioning) the relevant energy consumption of system has different degrees of increase, such as：The more 56.06kWh of the energy consumption of Pumps (pump), increase
24.31%；The more 3.32kWh of Heat Rejection (heat extraction) energy consumption, increase 24.23%, Lighting (light),
The energy consumption of Equipment (equipment) and Fans (blower) do not increase.Energy consumption of the energy consumption of coupled simulation than non-coupled simulation
More 328.59kWh, overall energy consumptions increase 15.27%.
Energy consumption data compares table 5 twice
Actual consumption data, primary energy consumption data (non-coupled simulation) and the comparison of secondary energy consumption data (coupled simulation)
As shown in table 6, actual consumption data are by investigating gained on the spot.It competes day 0 in gymnasium：00-24：Electricity consumed by 00 is
2641.23kWh, primary energy consumption simulation are that the non-coupled obtained energy consumption numerical value of simulation of energy consumption is 2152.45kWh, error
It is 18.51%, and the obtained energy consumption numerical value of secondary simulation of energy consumption, that is, coupled simulation is 2481.04kWh, error is
6.06%, reduce 12.45%.It can be seen that the accuracy of energy simulation can be improved using couple strategy.
The comparison of 6 actual consumption data of table, primary energy consumption data and secondary energy consumption data
The building energy consumption data obtained according to coupled simulation, the gymnasium are in the power consumption total amount of match in a few days
2481.04kW·h.The energy consumption in the gymnasium is split as Cooling (refrigeration), Lighting (light), Equipment (to set
It is standby), Fans (blower), Pumps (pump) and Heat Rejection (heat extraction) etc. six, subitem power consumption accounting is as shown in Figure 6.
Wherein Cooling, Fans, Pumps and Heat Rejection are energy consumption consumed by HVAC (Heating,Ventilating and Air Conditioning) system.By scheming
6 it is found that gymnasium major part electric energy is consumed by HVAC system, and total flow reaches 71%, it is seen that whole building is most
Power consumption is used to adjust indoor air quality.It secondly is the power consumption of Lighting and Equipment, power consumption accounting is respectively 16%
With 13%.Therefore, in energy-saving design later, the reducing energy consumption for considering air-conditioning system should be focused on, such as according to practical thermally stratified layer
Using the air-conditioning of Stratified Strategy, location of air supply inlet and air output, optimized temperature field and velocity field etc. are adjusted.
The present invention calculates the internal surface temperature of volumed space building wall by EnergyPlus simulation of energy consumption software, as
The temperature boundary condition of CFD software simulation, and calculate with CFD the inner surface convection transfer rate and room temperature of wall
, energy consumption calculation is carried out using inner surface convection transfer rate and indoor temperature field as the primary condition of EnergyPlus, is obtained
Simulation of energy consumption based on EnergyPlus and CFD couple strategy is as a result, it is possible to reduce simulation of energy consumption caused by thermal stratification is missed
Difference calculates with particularly significant green building energy consumption analysis to increase the accuracy of simulation of energy consumption, validity and reliability
Meaning.
Embodiment described above is only that the preferred embodiment of technical solution of the present invention is described, not to this hair
Bright range is defined, and without departing from the spirit of the design of the present invention, those of ordinary skill in the art are to of the invention
The various changes and improvements that technical solution is made, should fall within the scope of protection determined by the claims of the present invention.
Claims (2)
1. a kind of volumed space building energy consumption prediction technique coupled based on EnergyPlus with CFD, which is characterized in that including as follows
Step：
（1）The relevant information for studying building is collected, including：Architectural plan, architectural exterior-protecting construction information, building location allusion quotation
Type meteorology annual data, interior architecture environment design parameter, heating ventilation air-conditioning system information, indoor occupant action message, current consuming apparatus
Information, illuminator information；
（2）According to the architectural plan for studying building, CFD model and EnergyPlus model are established；
（3）By step（2）The EnergyPlus model established imports in EnergyPlus, and setting heat transfer algorithm is sequentially input
Step（1）In architectural exterior-protecting construction information, building location typical meteorological annual data, interior architecture environment design parameter, warm
Logical air-conditioning system information, indoor occupant action message, current consuming apparatus information and illuminator information；Result output is set, is carried out
EnergyPlus simulation of energy consumption, obtains the internal surface temperature of construction wall；
（4）By step（2）The CFD model established imports in ICEM, carries out grid dividing, and the grid of division is imported
In Fluent；By step（3）The internal surface temperature of obtained construction wall is input to as the CFD spatial boundary conditions simulated
In Fluent, Simulation of interior heat environment is carried out in conjunction with the air port boundary condition set in Fluent；
（5）The inner surface convection transfer rate and indoor temperature field of construction wall are exported from Fluent, and by the Indoor Temperature
Degree field is integrated into indoor temperature distribution curve；
（6）It will be from step（5）In obtained construction wall inner surface convection transfer rate and indoor temperature distribution curve it is defeated
Enter in EnergyPlus, carries out secondary EnergyPlus simulation of energy consumption；
（7）Energy consumption monitoring on the spot is carried out to building is studied, obtains the actual measurement energy consumption data of the building；
（8）By step（3）Obtained primary energy consumption data and step（6）Obtained secondary energy consumption data and step（7）It obtains
Actual measurement energy consumption data compare and analyze.
2. volumed space building energy consumption prediction technique as described in claim 1, it is characterised in that：Step（2）In, the CFD mould
Type is the 3-D geometric model established by SketchUp, and the EnergyPlus model is the plug-in unit by SketchUp
The 3-D geometric model that Legacy OpenStudio is established.
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| CN110412871A (en) * | 2019-07-10 | 2019-11-05 | 北京天泽智云科技有限公司 | Construction area ancillary equipment energy consumption prediction processing method and system |
| CN112668071A (en) * | 2019-10-15 | 2021-04-16 | 润弘精密工程事业股份有限公司 | Building energy consumption information processing method and system |
| CN110751402A (en) * | 2019-10-23 | 2020-02-04 | 北京工业大学 | Green building energy consumption quota determining method based on control strategy |
| CN110751402B (en) * | 2019-10-23 | 2022-05-24 | 北京工业大学 | Green building energy consumption quota determining method based on control strategy |
| CN111561759A (en) * | 2019-12-11 | 2020-08-21 | 中南大学 | High and large space hot-pressing ventilation calculation method based on thermal stratification |
| CN111310126A (en) * | 2020-02-14 | 2020-06-19 | 天津大学 | Air conditioner load prediction method suitable for regional building in planning stage |
| CN111310126B (en) * | 2020-02-14 | 2022-10-14 | 天津大学 | Air conditioner load prediction method suitable for regional building in planning stage |
| CN111488644A (en) * | 2020-04-23 | 2020-08-04 | 南京工业大学 | High and large space energy consumption optimization method based on material of atrium skylight |
| CN111666284A (en) * | 2020-05-18 | 2020-09-15 | 天津科技大学 | Building energy consumption uncertainty database establishing method and application method based on SQLite |
| CN112836396A (en) * | 2021-03-10 | 2021-05-25 | 同济大学 | Building real-time energy consumption abnormity diagnosis system |
| CN112836396B (en) * | 2021-03-10 | 2022-12-27 | 同济大学 | Building real-time energy consumption abnormity diagnosis system |
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