CN109409605A - The nearly zero energy consumption house Quasi dynamic Calculation Method of Energy Consumption of one kind, optimum design method - Google Patents

The nearly zero energy consumption house Quasi dynamic Calculation Method of Energy Consumption of one kind, optimum design method Download PDF

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CN109409605A
CN109409605A CN201811287500.2A CN201811287500A CN109409605A CN 109409605 A CN109409605 A CN 109409605A CN 201811287500 A CN201811287500 A CN 201811287500A CN 109409605 A CN109409605 A CN 109409605A
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房涛
王崇杰
尹红梅
王乃焜
李洁
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Shandong Jianzhu University
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Abstract

The invention discloses a kind of nearly zero energy consumption house Quasi dynamic Calculation Method of Energy Consumption, optimum design method, by being screened to the nearly zero energy consumption high residential building Design of Retaining Structure key parameter of cold district, orthogonal design, then to every orthogonal test Mobile state simulation of energy consumption, these analogue datas are finally subjected to multiple linear regression, establish " Quasi dynamic calculating " model of building energy consumption and design parameter, on this basis, architect is in the schematic design phase, the optimization design of energy consumption calculation and design parameter is carried out to design scheme, quickly filter out the design scheme of " optimization ".Energy consumption calculation of the present invention is simple, energy consumption calculation model, which is substituted into, by computer exports result less than three minutes, and parameter needed for existing static calculation, dynamic calculating is numerous, it is complicated for operation, it completes primary calculate and at least needs half an hour, make it possible that architect carries out energy saving calculation and energy conservation.

Description

The nearly zero energy consumption house Quasi dynamic Calculation Method of Energy Consumption of one kind, optimum design method
Technical field
The present invention relates to the calculation method of the nearly zero energy consumption house operation energy consumption of cold district, especially a kind of nearly zero energy consumption is lived Residence Quasi dynamic Calculation Method of Energy Consumption, optimum design method.
Background technique
In existing building energy conservation, energy-saving design in construction is completed jointly by Architecture Speciality and heating and ventilating discipline, wherein building The combination for learning profession responsible passive type power-saving technology and architectural scheme design is built, with emphasis on architectural scheme design, heating and ventilating discipline is negative The combination for blaming active power-saving technology and existing building, with emphasis on energy saving calculation.The existing building energy consumption calculation method master in China There are two major classes: static calculation method (heat-consuming index calculating etc.), Dynamic calculation method (EnergyPlus, DeST simulation Deng), wherein static calculation parameter is complicated and accuracy is poor, and dynamic computing operation is complicated and low efficiency, both methods are all inconvenient It is used in architect in the schematic design phase.
By the double action of specialty background and specialization, building scheme optimization design and building energy conservation calculating isolate into two A stage: " first designing " stage of building scheme and " rear verifying " stage of building energy conservation calculating.Architect is for energy consumption calculation It is unknown make it in architectural scheme design, blindly carry out " close rule design " referring to national energy-saving standard stipulating index.It is this Design method and design pattern have three:
(1) design cycle for " first designing and verifying afterwards " causes the missing of scheme optimization design link, causes building scheme simultaneously The scheme of non-optimal has carried out setting for " design-energy saving calculation-feedback redesign " although there is architect to recognize this problem Process and method are counted, but is limited by Calculation Method of Energy Consumption, can only be carried out for several schemes than choosing, and can not effectively be obtained To most energy-efficient design scheme.
(2) " closing rule to design " method causes architect to think, more energy saving, the south orientation window-wall ratio of the outer smaller building of heat transfer coefficient of window Building energy consumption will be will lead to beyond energy saving igniter prescribed limits to increase, and it is true really not so.Applicants have found that passing The corresponding building energy consumption of the small exterior window of hot coefficient may be higher, when south orientation window-wall ratio takes 0.6-0.8 (remote superstate standard), building Energy consumption is minimum, and reason is that the promotion with exterior window thermal insulation property, influence of the solar gain to building energy consumption are likely larger than Heat loss through conduction increases south orientation window-wall ratio and is beneficial to energy conservation instead.It can be seen that " closing rule design " method causes conceptual design to miss Area.
(3) however as the development of nearly zero energy consumption building, if cannot be carried out in the building scheme stage to design parameter excellent Change matching, which kind of active technology no matter the later period take all can not achieve the target of building side " energy demand minimum ".
Summary of the invention
The object of the present invention is to provide a kind of nearly zero energy consumption house Quasi dynamic Calculation Method of Energy Consumption, optimum design method, solutions Certainly used because static, dynamic energy consumption calculation method is not easy to architect, caused by architectural scheme design and two ranks of energy saving calculation The problem of section is isolated;The mistaken ideas for solving energy-saving design theory in " close rule design ", by simultaneously, quick calculating " all " combination sides Case screens optimal case for architect according to the actual situation.
To achieve the above object, the present invention adopts the following technical solutions:
First aspect present invention provides a kind of nearly zero energy consumption house Quasi dynamic Calculation Method of Energy Consumption, comprising the following steps:
Maximum value range is provided to 10 key parameters in energy consumption calculation model according to existing energy conservation standard;
To 10 key parameters, each parameter takes 5 level values within the scope of maximum value respectively, and orthogonal design forms 81 81 groups of tests are carried out energy consumption calculation respectively, obtain power consumption values under every group of test by group test;
Multiple linear regression analysis is carried out to 81 groups of test datas of acquisition, fits the equation expression of energy consumption calculation model Formula:
E=8.771w+1.176x1-4.14x2-0.996x3+1.196y1+0.734y2+3.065y3
+0.948z1+0.849z2+1.771z3+ 8.033,
Wherein, W: nontransparent enclosure structure heat transfer coefficient U;X1: southern heat transfer coefficient of window UThe south w;Y1: north window heat transfer coefficient UThe north w; Z1: thing heat transfer coefficient of window UW thing;X2: southern window solar heat gain coefficient SHGCSouth;Y2: north window solar heat gain coefficient SHGCNorth;Z2: thing Window solar heat gain coefficient SHGCThing;X3: south orientation window-wall ratio WWRSouth;Y3: north orientation window-wall ratio WWRNorth;Z3: East and West direction window-wall ratio WWRThing
Second aspect of the present invention provides a kind of nearly zero energy consumption house Quasi dynamic energy-aware design method, including following step It is rapid:
South orientation and nontransparent Design of Retaining Structure parameter, north orientation design parameter and East and West direction are assigned according to energy saving igniter Design parameter initial value, and substitute into energy consumption calculation model and calculate energy consumption initial value E0
With energy consumption initial value E0For design object, value area is optimized to south orientation and nontransparent Design of Retaining Structure parameter setting Between, it substitutes into energy consumption calculation model and obtains optimization value set, select optimal design side further according to pool architectural design, project cost Case;
With energy consumption initial value E0For design object, optimization value interval is arranged to north orientation design parameter, substitutes into energy consumption calculation Model obtains optimization value set, selects best design further according to pool architectural design, project cost;
With energy consumption initial value E0For design object, optimization value interval is arranged to East and West direction design parameter, substitutes into energy consumption meter It calculates model and obtains optimization value set, select best design further according to pool architectural design, project cost.
It is described with energy consumption initial value E in second aspect in the first possible implementation in conjunction with second aspect0To set Target is counted, to south orientation and nontransparent Design of Retaining Structure parameter setting value interval, energy consumption calculation model acquisition optimization is substituted into and takes Value set specifically includes:
By southern heat transfer coefficient of window, southern window solar heat gain coefficient, south orientation window-wall ratio, nontransparent enclosure structure heat transfer coefficient 4 Key parameter is set as section, remaining 6 key parameter presses initial value value, substitutes into energy consumption calculation model and calculates power consumption values E, calculates Under energy consumption E target, the optimum combination disaggregation of south orientation and nontransparent Design of Retaining Structure parameter;
Heat transfer coefficient of window is primary key, using nontransparent building enclosure as secondary keyword on the south in Excel table Descending sort is carried out to optimum combination disaggregation, preliminary screening goes out the biggish scheme of heat transfer coefficient (the big scheme of heat transfer coefficient, cost It is often relatively low) optionally;
With south orientation window-wall ratio to screen foundation in Excel, it is vertical to meet building for screening south orientation window-wall ratio from alternative Scheme disaggregation expected from face further reduces the range of optimum combination disaggregation.
It is described by southern heat transfer coefficient of window, southern window in second of second aspect possible implementation in conjunction with second aspect 4 solar heat gain coefficient, south orientation window-wall ratio, nontransparent enclosure structure heat transfer coefficient key parameters are set as section, specifically include:
Southern heat transfer coefficient of window, nontransparent enclosure structure heat transfer coefficient interval limit value press initial value value, the section upper limit Value takes the maximum value of maximum value range, and south orientation window-wall ratio and southern window solar heat gain coefficient section value are according to maximum value range Setting.
It is described with energy consumption initial value E in second aspect in the third possible implementation in conjunction with second aspect0To set Target is counted, value interval is arranged to north orientation design parameter, energy consumption calculation model is substituted into and obtains optimization value set, specifically include:
3 north window heat transfer coefficient, north window solar heat gain coefficient, north orientation window-wall ratio key parameters are set as section, remaining 7 Key parameter presses initial value value, substitutes into energy consumption calculation model and calculates power consumption values E, calculates under energy consumption E target, north orientation design parameter Optimum combination disaggregation;
Heat transfer coefficient of window is that primary key carries out descending sort to optimum combination disaggregation to the north of in Excel table, just Step filters out the biggish scheme of heat transfer coefficient optionally;
With north orientation window-wall ratio to screen foundation in Excel, it is vertical to meet building for screening north orientation window-wall ratio from alternative Scheme disaggregation expected from face further reduces the range of optimum combination disaggregation.
It is described by north window heat transfer coefficient, north window in the 4th kind of possible implementation of second aspect in conjunction with second aspect 3 solar heat gain coefficient, north orientation window-wall ratio key parameters are set as section, specifically include:
The interval limit value of north window heat transfer coefficient presses initial value value, and section upper limit value takes the maximum of maximum value range Value, north orientation window-wall ratio and north window solar heat gain coefficient section value are arranged according to maximum value range.
It is described with energy consumption initial value E in the 5th kind of possible implementation of second aspect in conjunction with second aspect0To set Target is counted, value interval is arranged to East and West direction design parameter, energy consumption calculation model is substituted into and obtains optimization value set, it is specific to wrap It includes:
3 thing heat transfer coefficient of window, thing window solar heat gain coefficient, East and West direction window-wall ratio key parameters are set as section, Remaining 7 key parameter presses initial value value, substitutes into energy consumption calculation model and calculates power consumption values E, calculates under energy consumption E target, thing To the optimum combination disaggregation of design parameter;
Descending sort is carried out to optimum combination disaggregation using thing heat transfer coefficient of window as primary key in Excel table, Preliminary screening goes out the biggish scheme of heat transfer coefficient optionally;
With East and West direction window-wall ratio to screen foundation in Excel, screening East and West direction window-wall ratio, which meets, from alternative is built Scheme disaggregation expected from facade is built, the range of optimum combination disaggregation is further reduced.
It is described by thing heat transfer coefficient of window, east in the 6th kind of possible implementation of second aspect in conjunction with second aspect 3 western window solar heat gain coefficient, East and West direction window-wall ratio key parameters are set as section, specifically include:
The interval limit value of thing heat transfer coefficient of window presses initial value value, and section upper limit value takes the maximum of maximum value range Value, East and West direction window-wall ratio and thing window solar heat gain coefficient section value are arranged according to maximum value range.
The effect provided in summary of the invention is only the effect of embodiment, rather than invents all whole effects, above-mentioned A technical solution in technical solution have the following advantages that or the utility model has the advantages that
1, energy consumption calculation of the present invention is simple, substitutes into energy consumption calculation model by computer and exports result less than three minutes, and Parameter needed for existing static calculation, dynamic calculating is numerous, complicated for operation, completes primary calculate and at least needs half an hour, makes Architect carries out energy saving calculation and is possibly realized.
2, for a certain power dissipation obj ectives, the optimal solution set of all optimum organization schemes can be generated, by the row of Excel Sequence, screening function, architect can lock optimal design scheme within 5 minutes, while realize energy-saving design in construction and scheme The requirement of design.
3, break technology prejudice, for comparison prioritization scheme it is found that under nearly zero power dissipation obj ectives, not outer heat transfer coefficient of window is smaller more Energy conservation, energy-efficient effect may not be able to be reached by reducing localized design parameter simply, and should global optimization parameters Rapport.
Detailed description of the invention
Fig. 1 is the nearly zero energy consumption house Quasi dynamic Calculation Method of Energy Consumption flow chart of the present invention;
Fig. 2 is the nearly zero energy consumption house Quasi dynamic energy-aware design method flow diagram of the present invention.
Specific embodiment
In order to clarify the technical characteristics of the invention, below by specific embodiment, and its attached drawing is combined, to this hair It is bright to be described in detail.Following disclosure provides many different embodiments or example is used to realize different knots of the invention Structure.In order to simplify disclosure of the invention, hereinafter the component of specific examples and setting are described.In addition, the present invention can be with Repeat reference numerals and/or letter in different examples.This repetition is that for purposes of simplicity and clarity, itself is not indicated Relationship between various embodiments and/or setting is discussed.It should be noted that illustrated component is not necessarily to scale in the accompanying drawings It draws.Present invention omits the descriptions to known assemblies and treatment technology and process to avoid the present invention is unnecessarily limiting.
As shown in Figure 1, a kind of nearly zero energy consumption house Quasi dynamic Calculation Method of Energy Consumption, comprising the following steps:
S1, maximum value range is provided to 10 key parameters in energy consumption calculation model according to existing energy conservation standard.
According to the regulation in existing energy conservation standard, window's heat transfer coefficient, nontransparent enclosure structure heat transfer coefficient, window-wall ratio are Main design parameter, and each standard obtains hot regulation for the sun and unintelligible (existing standard has regulation shading coefficient, window Glass total solar energy transmittance, window solar heat gain coefficient etc. be not also stringent, it is specified that different), therefore through more finally will more too Yang get Re coefficient obtains hot main indicator as the building sun;Further, since respectively leading to each court towards intensity of solar radiation difference It is different to influence power of the design parameter to building energy consumption, transparent enclosure parameter of structure design is fine to respectively by sensitivity analysis A direction, in addition nontransparent Design of Retaining Structure parameter, totally 10 design parameters, are shown in Table 1;
Each meaning of parameters in 1 energy consumption calculation model of table
S2, to 10 key parameters, each parameter takes 5 level values within the scope of maximum value respectively, and orthogonal design is formed 81 groups of tests carry out energy consumption calculation to 81 groups of tests respectively, obtain power consumption values under every group of test.Design parameter value is shown in Table 2, examination Testing energy consumption, the results are shown in Table 3;
Each independent variable of table 2 and its each level
Level 1 Level 2 Level 3 Level 4 Level 5
W: nontransparent enclosure structure heat transfer coefficient U 0.09 0.12 0.15 0.18 0.21
X1: southern heat transfer coefficient of window UThe south w 0.8 0.9 1.0 1.1 1.2
Y1: north window heat transfer coefficient UThe north w 0.8 0.9 1.0 1.1 1.2
Z1: thing heat transfer coefficient of window UW thing 0.8 0.9 1.0 1.1 1.2
X2: southern window solar heat gain coefficient SHGCSouth 0.2 0.3 0.4 0.5 0.6
Y2: north window solar heat gain coefficient SHGCNorth 0.2 0.3 0.4 0.5 0.6
Z2: thing window solar heat gain coefficient SHGCThing 0.2 0.3 0.4 0.5 0.6
X3: south orientation window-wall ratio WWRSouth 0.3 0.4 0.5 0.6 0.7
Y3: north orientation window-wall ratio WWRNorth 0.3 0.4 0.5 0.6 0.7
Z3: East and West direction window-wall ratio WWRThing 0.3 0.4 0.5 0.6 0.7
3 orthogonal design table of table and simulation calculated result
S3, multiple linear regression analysis is carried out to 81 groups of test datas of acquisition, fits the equation of energy consumption calculation model Expression formula.
E=8.771w+1.176x1-4.14x2-0.996x3+1.196y1+0.734y2+3.065y3
+0.948z1+0.849z2+1.771z3+8.033
By computation model it is found that each design parameter is as shown in table 4 to the contribution rate of objective function, wherein negative energy consumption tribute The rate of offering indicates that the design parameter and building energy consumption are negatively correlated, and positive sign indicates to be positively correlated, the expression pair of energy consumption contribution rate order of magnitude The influence power of building energy consumption, absolute value is bigger, and the influence power of building energy consumption is bigger.This will be as the screening of above step S2, S3 most The important evidence of good scheme.
The energy consumption contribution rate of each key parameter of table 4
Key parameter Energy consumption contribution rate Key parameter Energy consumption contribution rate
W: roof, exterior wall U 39.9% The north Y2: north window SHGC 11.1%
X1: the southern south window Uw 17.8% Z2: thing window SHGC thing 12.9%
The north Y1: north window Uw 18.1% X3: the southern south window-wall ratio WWR - 15%
Z1: thing window Uw thing 14.4% Y3: the northern north window-wall ratio WWR 46.5%
X2: the southern south window SHGC - 62.7% Z3: thing window-wall ratio WWR thing 26.8%
As shown in Fig. 2, a kind of nearly zero energy consumption house Quasi dynamic energy-aware design method, comprising the following steps:
S1, south orientation and nontransparent Design of Retaining Structure parameter, north orientation design parameter and east are assigned according to energy saving igniter West substitutes into energy consumption calculation model and calculates energy consumption initial value E to design parameter initial value0
S2, with energy consumption initial value E0For design object, south orientation and the optimization of nontransparent Design of Retaining Structure parameter setting are taken It is worth section, substitutes into energy consumption calculation model and obtain optimization value set, is most preferably set further according to pool architectural design, project cost selection Meter scheme;
S3, with energy consumption initial value E0For design object, excellent value interval is arranged to north orientation design parameter, substitutes into energy consumption calculation Model obtains optimization value set, selects best design further according to pool architectural design, project cost;
S4, with energy consumption initial value E0For design object, optimization value interval is arranged to East and West direction design parameter, substitutes into energy consumption Computation model obtains optimization value set, selects best design further according to pool architectural design, project cost.
In step S2, with energy consumption initial value E0For design object, to south orientation and nontransparent Design of Retaining Structure parameter setting Optimize value interval, substitute into energy consumption calculation model and obtain optimization value set, specifically include:
S21, by southern heat transfer coefficient of window, southern window solar heat gain coefficient, south orientation window-wall ratio, nontransparent enclosure structure heat transfer coefficient 4 key parameters are set as section, remaining 6 key parameter presses initial value value, substitute into energy consumption calculation model and calculate power consumption values E, It calculates under energy consumption E target, the optimum combination disaggregation of south orientation and nontransparent Design of Retaining Structure parameter.
Southern heat transfer coefficient of window, nontransparent enclosure structure heat transfer coefficient interval limit value press initial value value, the section upper limit Value takes the maximum value of maximum value range, and south orientation window-wall ratio and southern window solar heat gain coefficient section value are according to maximum value range Setting.
S22, in Excel table on the south heat transfer coefficient of window be primary key, with nontransparent building enclosure be secondary pass Key word carries out descending sort to optimum combination disaggregation, and preliminary screening goes out the biggish scheme of heat transfer coefficient optionally.
S23, in Excel with south orientation window-wall ratio be screening foundation, south orientation window-wall ratio is filtered out from alternative and is met Scheme disaggregation expected from elevation of building further reduces the range of optimum combination disaggregation.
In step S3, with energy consumption initial value E0For design object, optimization value interval is arranged to north orientation design parameter, is substituted into Energy consumption calculation model obtains optimization value set, specifically includes:
S31,3 north window heat transfer coefficient, north window solar heat gain coefficient, north orientation window-wall ratio key parameters are set as section, 7 key parameters remaining by initial value value, substitutes into energy consumption calculation model and calculates power consumption values E, calculate under energy consumption E target, north orientation is set Count the optimum combination disaggregation of parameter.
The interval limit value of north window heat transfer coefficient presses initial value value, and section upper limit value takes the maximum of maximum value range Value, north orientation window-wall ratio and north window solar heat gain coefficient section value are arranged according to maximum value range.
S32, in Excel table to the north of heat transfer coefficient of window be primary key to optimum combination disaggregation carry out descending row Sequence, preliminary screening go out the biggish scheme of heat transfer coefficient optionally.
S33, in Excel with north orientation window-wall ratio it is screening foundation, selects north orientation window-wall ratio from alternative kind and meet and build Scheme disaggregation expected from facade is built, the range of optimum combination disaggregation is further reduced.
In step S4, with energy consumption initial value E0For design object, in optimization value interval, generation, are arranged to East and West direction design parameter Enter energy consumption calculation model and obtain optimization value set, specifically includes:
S41,3 thing heat transfer coefficient of window, thing window solar heat gain coefficient, East and West direction window-wall ratio key parameters are set as area Between, remaining 7 key parameter presses initial value value, and it substitutes into energy consumption calculation model and calculates power consumption values E, calculate under energy consumption E target, east Optimum combination disaggregation of the west to design parameter.
The interval limit value of thing heat transfer coefficient of window presses initial value value, and section upper limit value takes the maximum of maximum value range Value, East and West direction window-wall ratio and thing window solar heat gain coefficient section value are arranged according to maximum value range.
S42, in Excel table using thing heat transfer coefficient of window be primary key to optimum combination disaggregation carry out descending row Sequence, preliminary screening go out the biggish scheme of heat transfer coefficient optionally.
S43, in Excel with East and West direction window-wall ratio be screening foundation, selected from alternative East and West direction window-wall ratio symbol Scheme disaggregation expected from elevation of building is closed, the range of optimum combination disaggregation is further reduced.
Above-mentioned, although the foregoing specific embodiments of the present invention is described with reference to the accompanying drawings, not protects model to the present invention The limitation enclosed, those skilled in the art should understand that, based on the technical solutions of the present invention, those skilled in the art are not Need to make the creative labor the various modifications or changes that can be made still within protection scope of the present invention.

Claims (8)

1. a kind of nearly zero energy consumption house Quasi dynamic Calculation Method of Energy Consumption, characterized in that the following steps are included:
Maximum value range is provided to 10 key parameters in energy consumption calculation model according to existing energy conservation standard;
To 10 key parameters, each parameter takes 5 level values within the scope of maximum value respectively, and orthogonal design forms 81 groups of examinations It tests, energy consumption calculation is carried out to 81 groups of tests respectively, obtains power consumption values under every group of test;
Multiple linear regression analysis is carried out to 81 groups of test datas of acquisition, proposes the equation table of the energy consumption calculation model of Quasi dynamic Up to formula:
E=8.771w+1.176x1-4.14x2-0.996x3+1.196y1+0.734y2+3.065y3+0.948z1+0.849z2+ 1.771z3+ 8.033,
Wherein, W: nontransparent enclosure structure heat transfer coefficient U;X1: southern heat transfer coefficient of window UThe south w;Y1: north window heat transfer coefficient UThe north w;Z1: east Western heat transfer coefficient of window UW thing;X2: southern window solar heat gain coefficient SHGCSouth;Y2: north window solar heat gain coefficient SHGCNorth;Z2: thing window is too Yang get Re coefficient S HGCThing;X3: south orientation window-wall ratio WWRSouth;Y3: north orientation window-wall ratio WWRNorth;Z3: East and West direction window-wall ratio WWRThing
2. a kind of nearly zero energy consumption house Quasi dynamic energy-aware design method, is carried out using calculation method described in claim 1 Optimization, characterized in that the following steps are included:
South orientation and nontransparent Design of Retaining Structure parameter, north orientation design parameter and East and West direction design are assigned according to energy saving igniter Initial parameter value, and substitute into energy consumption calculation model and calculate energy consumption initial value E0
With energy consumption initial value E0For design object, in value interval, generation, are optimized to south orientation and nontransparent Design of Retaining Structure parameter setting Enter energy consumption calculation model and obtain optimization value set, selects best design further according to architectural design, project cost;
With energy consumption initial value E0For design object, optimization value interval is arranged to north orientation design parameter, substitutes into energy consumption calculation model and obtains Optimization value set is taken, selects best design further according to architectural design, project cost;
With energy consumption initial value E0For design object, optimization value interval is arranged to East and West direction design parameter, substitutes into energy consumption calculation model Optimization value set is obtained, selects best design further according to architectural design, project cost.
3. optimum design method as claimed in claim 2, characterized in that described with energy consumption initial value E0For design object, to south To and nontransparent Design of Retaining Structure parameter setting optimize value interval, substitute into energy consumption calculation model obtain optimization value set, It specifically includes:
By southern heat transfer coefficient of window, southern window solar heat gain coefficient, 4 south orientation window-wall ratio, nontransparent enclosure structure heat transfer coefficient keys Parameter is set as section, remaining 6 key parameter presses initial value value, substitutes into energy consumption calculation model and calculates power consumption values E, calculates energy consumption Under E target, the optimum combination disaggregation of south orientation and nontransparent Design of Retaining Structure parameter;
On the south in Excel table heat transfer coefficient of window be primary key, using nontransparent building enclosure be secondary keyword to most Excellent combination disaggregation carries out descending sort, and preliminary screening goes out the biggish scheme of heat transfer coefficient optionally;
With south orientation window-wall ratio to screen foundation in Excel, screening south orientation window-wall ratio meets building and stands from alternative design Scheme disaggregation expected from face further reduces the range of optimum combination disaggregation.
4. optimum design method as claimed in claim 3, characterized in that it is described southern heat transfer coefficient of window, the southern window sun are obtained it is hot 4 coefficient, south orientation window-wall ratio, nontransparent enclosure structure heat transfer coefficient key parameters are set as section, specifically include:
Southern heat transfer coefficient of window, nontransparent enclosure structure heat transfer coefficient interval limit value press initial value value, section upper limit value takes The maximum value of maximum value range, south orientation window-wall ratio and southern window solar heat gain coefficient section value are set according to maximum value range It sets.
5. optimum design method as claimed in claim 2, characterized in that described with energy consumption initial value E0For design object, to north Optimization value interval is set to design parameter, substitutes into energy consumption calculation model and obtains optimization value set, specifically include:
3 north window heat transfer coefficient, north window solar heat gain coefficient, north orientation window-wall ratio key parameters are set as section, remaining 7 key Parameter presses initial value value, substitutes into energy consumption calculation model and calculates power consumption values E, calculates under energy consumption E target, north orientation design parameter is most Excellent combination disaggregation;
Heat transfer coefficient of window is that primary key carries out descending sort to optimum combination disaggregation to the north of in Excel table, preliminary to sieve Select the biggish scheme of heat transfer coefficient optionally;
With north orientation window-wall ratio to screen foundation in Excel, it is pre- to meet elevation of building for screening north orientation window-wall ratio from alternative The scheme disaggregation of phase, further reduces the range of optimum combination disaggregation.
6. optimum design method as claimed in claim 5, characterized in that it is described north window heat transfer coefficient, the north window sun are obtained it is hot 3 coefficient, north orientation window-wall ratio key parameters are set as section, specifically include:
The interval limit value of north window heat transfer coefficient presses initial value value, and section upper limit value takes the maximum value of maximum value range, north It is arranged to window-wall ratio and north window solar heat gain coefficient section value according to maximum value range.
7. optimum design method as claimed in claim 2, characterized in that described with energy consumption initial value E0For design object, to east Optimization value interval is arranged to design parameter in west, substitutes into energy consumption calculation model and obtains optimization value set, specifically includes:
3 thing heat transfer coefficient of window, thing window solar heat gain coefficient, East and West direction window-wall ratio key parameters are set as section, remaining 7 A key parameter presses initial value value, substitutes into energy consumption calculation model and calculates power consumption values E, calculates under energy consumption E target, East and West direction design The optimum combination disaggregation of parameter;
Descending sort is carried out to optimum combination disaggregation using thing heat transfer coefficient of window as primary key in Excel table, tentatively Filter out the biggish scheme of heat transfer coefficient optionally;
With East and West direction window-wall ratio to screen foundation in Excel, it is vertical to meet building for screening East and West direction window-wall ratio from alternative Face expected scheme disaggregation, further reduces the range of optimum combination disaggregation.
8. optimum design method as claimed in claim 7, characterized in that described by thing heat transfer coefficient of window, the thing window sun 3 hot coefficient, East and West direction window-wall ratio key parameters are set as section, specifically include:
The interval limit value of thing heat transfer coefficient of window presses initial value value, and section upper limit value takes the maximum value of maximum value range, East and West direction window-wall ratio and thing window solar heat gain coefficient section value are arranged according to maximum value range.
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Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111199065A (en) * 2019-12-12 2020-05-26 珠海中建兴业绿色建筑设计研究院有限公司 Zero-energy-consumption building design method and device and terminal equipment
CN111324953A (en) * 2020-02-18 2020-06-23 东南大学 Method for simplifying physical property evaluation model of composite vertical enclosure structure of traditional building
CN112214897A (en) * 2020-10-14 2021-01-12 南京工业大学 Large-space air conditioner energy consumption optimization method based on roof structure orthogonal test
CN112668081A (en) * 2020-12-23 2021-04-16 深圳万都时代绿色建筑技术有限公司 Method for improving indoor environment performance of building based on sun-shading design of building external window
CN113326614A (en) * 2021-05-28 2021-08-31 沈阳建筑大学 Method and device for optimizing space between net zero energy consumption building ground radiation heating coils
CN114065386A (en) * 2021-11-15 2022-02-18 中国航发沈阳发动机研究所 Multi-element linear regression equation method for rapidly predicting complete MTBF (methyl tert-butyl fluoride)
CN114896664A (en) * 2022-05-12 2022-08-12 浙江大学 Photovoltaic integrated enclosure structure optimization method and system for park building

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106446453A (en) * 2016-10-21 2017-02-22 安徽科技学院 Physical model construction method for building
CN107315884A (en) * 2017-07-04 2017-11-03 北京首钢自动化信息技术有限公司 A kind of building energy consumption modeling method based on linear regression

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106446453A (en) * 2016-10-21 2017-02-22 安徽科技学院 Physical model construction method for building
CN107315884A (en) * 2017-07-04 2017-11-03 北京首钢自动化信息技术有限公司 A kind of building energy consumption modeling method based on linear regression

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
YIBING XUE.ETC: "Research on Envelope Energy-Saving Reconstruction of Existing Residential Building", 《ADVANCES IN INTELLIGENT SYSTEMS RESEARCH》 *
朱磊: "影响成都地区住宅建筑能耗的相关因素分析", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 *

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111199065A (en) * 2019-12-12 2020-05-26 珠海中建兴业绿色建筑设计研究院有限公司 Zero-energy-consumption building design method and device and terminal equipment
CN111199065B (en) * 2019-12-12 2023-09-22 珠海中建兴业绿色建筑设计研究院有限公司 Zero-energy-consumption building design method and device and terminal equipment
CN111324953A (en) * 2020-02-18 2020-06-23 东南大学 Method for simplifying physical property evaluation model of composite vertical enclosure structure of traditional building
CN111324953B (en) * 2020-02-18 2021-10-19 东南大学 Method for simplifying physical property evaluation model of composite vertical enclosure structure of traditional building
CN112214897A (en) * 2020-10-14 2021-01-12 南京工业大学 Large-space air conditioner energy consumption optimization method based on roof structure orthogonal test
CN112668081A (en) * 2020-12-23 2021-04-16 深圳万都时代绿色建筑技术有限公司 Method for improving indoor environment performance of building based on sun-shading design of building external window
CN113326614A (en) * 2021-05-28 2021-08-31 沈阳建筑大学 Method and device for optimizing space between net zero energy consumption building ground radiation heating coils
CN114065386A (en) * 2021-11-15 2022-02-18 中国航发沈阳发动机研究所 Multi-element linear regression equation method for rapidly predicting complete MTBF (methyl tert-butyl fluoride)
CN114065386B (en) * 2021-11-15 2022-09-20 中国航发沈阳发动机研究所 Multi-element linear regression equation method for rapidly predicting complete MTBF (methyl tert-butyl fluoride)
CN114896664A (en) * 2022-05-12 2022-08-12 浙江大学 Photovoltaic integrated enclosure structure optimization method and system for park building
CN114896664B (en) * 2022-05-12 2023-07-11 浙江大学 Park building photovoltaic integrated enclosure structure optimization method and system

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