CN111859514B - Method and system for optimizing thermal performance of building envelope under multi-station operation - Google Patents
Method and system for optimizing thermal performance of building envelope under multi-station operation Download PDFInfo
- Publication number
- CN111859514B CN111859514B CN202010752815.0A CN202010752815A CN111859514B CN 111859514 B CN111859514 B CN 111859514B CN 202010752815 A CN202010752815 A CN 202010752815A CN 111859514 B CN111859514 B CN 111859514B
- Authority
- CN
- China
- Prior art keywords
- wtci
- thermal
- temperature
- thermal characteristic
- enclosure structure
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 26
- 230000008859 change Effects 0.000 claims abstract description 41
- 238000010276 construction Methods 0.000 claims abstract description 22
- 238000005457 optimization Methods 0.000 claims abstract description 18
- 238000012546 transfer Methods 0.000 claims description 18
- 238000004364 calculation method Methods 0.000 claims description 15
- 238000013461 design Methods 0.000 abstract description 24
- 238000011156 evaluation Methods 0.000 abstract description 16
- 238000004378 air conditioning Methods 0.000 description 30
- 238000009423 ventilation Methods 0.000 description 23
- 238000009413 insulation Methods 0.000 description 21
- 230000006399 behavior Effects 0.000 description 10
- 238000005265 energy consumption Methods 0.000 description 10
- 238000010438 heat treatment Methods 0.000 description 10
- 238000010586 diagram Methods 0.000 description 7
- 230000000694 effects Effects 0.000 description 7
- 238000004458 analytical method Methods 0.000 description 4
- 230000007246 mechanism Effects 0.000 description 4
- 230000000737 periodic effect Effects 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 238000011160 research Methods 0.000 description 4
- 238000005057 refrigeration Methods 0.000 description 3
- 230000009471 action Effects 0.000 description 2
- 238000001816 cooling Methods 0.000 description 2
- 230000001808 coupling effect Effects 0.000 description 2
- 238000004134 energy conservation Methods 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000002457 bidirectional effect Effects 0.000 description 1
- 238000012512 characterization method Methods 0.000 description 1
- 238000011217 control strategy Methods 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 238000005338 heat storage Methods 0.000 description 1
- 238000012417 linear regression Methods 0.000 description 1
- 238000004321 preservation Methods 0.000 description 1
- 230000001681 protective effect Effects 0.000 description 1
- 230000005855 radiation Effects 0.000 description 1
- 238000000611 regression analysis Methods 0.000 description 1
- 239000011150 reinforced concrete Substances 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/13—Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/08—Thermal analysis or thermal optimisation
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Mathematical Optimization (AREA)
- Geometry (AREA)
- Computational Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Pure & Applied Mathematics (AREA)
- Mathematical Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Mathematical Physics (AREA)
- Computer Hardware Design (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Architecture (AREA)
- Evolutionary Biology (AREA)
- Databases & Information Systems (AREA)
- Software Systems (AREA)
- Bioinformatics & Computational Biology (AREA)
- Operations Research (AREA)
- Algebra (AREA)
- Civil Engineering (AREA)
- Probability & Statistics with Applications (AREA)
- Life Sciences & Earth Sciences (AREA)
- Structural Engineering (AREA)
- Evolutionary Computation (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The invention discloses a method and a system for optimizing thermal performance of an enclosure structure under multi-working condition operation, wherein the optimizing method comprises the following steps: setting a target value of a wall condition temperature change index WTCI; and calculating the value of the thermal characteristic parameter of the building envelope according to the target value of the wall condition temperature change index WTCI, and optimizing the actual structure of the building envelope in the summer, the winter and the warm area by adjusting the value of the thermal characteristic parameter to obtain the optimal thermal characteristic parameter value of the building envelope. The optimization method takes account of the evaluation indexes of the connotation of two working conditions, and can effectively and simply guide the thermal design of the enclosure structure in the behavior energy-saving mode; and the actual construction of the building envelope is optimized by using the wall condition temperature change index WTCI to obtain optimized structural parameters, and the optimized energy-saving performance is calculated.
Description
Technical Field
The invention belongs to the technical field of building thermal design and building energy conservation, and particularly relates to a method and a system for optimizing thermal performance of an enclosure structure under multi-working-condition operation.
Background
The operating conditions of the building determine the indoor environmental conditions of the building, thereby affecting the heat exchange strength through the building envelope, and thus it is closely related to the thermal design of the building envelope. The thermal requirements of buildings with air conditioning for heating and cooling are different from those of natural ventilation buildings. Firstly, the indoor design parameters are different, and the indoor design temperature of a heating room is 18 ℃ and the indoor design temperature of a non-heating room is 12 ℃ according to the thermal design specification of civil building (GB 50176-2016). Secondly, because the indoor calculation conditions are different and the outdoor calculation conditions are the same, the minimum heat transfer resistance of the enclosure structure is different, and the enclosure structure is different, so that other thermal characteristics of the enclosure structure are obviously different. For buildings with only heating requirements, the buildings belong to an air conditioning working condition in a heating period and belong to a natural ventilation working condition in a non-heating period; for buildings needing heating and refrigeration, the heating in China mainly adopts continuous heating, and the refrigeration mostly adopts an intermittent air conditioning mode; for buildings with only refrigeration demand, the operation is entirely in intermittent air conditioning mode. Intermittent air conditioning mode belongs to a typical multi-condition mode of operation. Therefore, most residential buildings in China operate in a multi-working condition mode of natural ventilation working conditions and air conditioning working conditions which are staggered, and the existing specifications and researches are used for carrying out thermal engineering design aiming at a single working condition.
The natural ventilation working condition and the air conditioning working condition in a short period run alternately, and are mostly in hot areas, so that the natural ventilation working condition and the air conditioning working condition are closely related to the heat insulation design of the building envelope. The existing building envelope thermal performance evaluation index has the following problems: 1) The evaluation is only aimed at a single working condition, or aimed at an air conditioning working condition, or aimed at a natural ventilation working condition, and is also aimed at a condition with unclear expression of an applicable working condition; 2) Evaluating that the indoor environmental conditions under study are fixed and non-dynamic, which is inconsistent with intermittent space building operation; 3) The existing evaluation index can only evaluate the thermal characteristics of the building envelope and cannot guide the optimized structural parameters of the building envelope.
Disclosure of Invention
The invention aims to provide a method and a system for optimizing thermal performance of an enclosure structure under multiple working conditions so as to solve the problems.
In order to achieve the above purpose, the technical scheme adopted by the invention is as follows:
a method for optimizing thermal performance of an enclosure structure under multi-station operation comprises the following steps:
1) Calculating a target ratio of thermal characteristic parameters of the enclosure structure according to a target value of the wall condition temperature change index WTCI;
2) Adjusting the values of the thermal characteristic parameters within the actual value range of the thermal characteristic parameters to obtain N thermal characteristic parameter value combinations meeting the target ratio in the step 1), wherein N is a positive integer;
3) Optimizing the actual construction of the enclosure in the summer, winter and warm areas to ensure that the actual thermal characteristic parameters of the enclosure meet the thermal characteristic parameter value combination in the step 2) to obtain an actual construction optimization scheme of M kinds of enclosures; m is a positive integer.
Further, in step 2), the thermal characteristic parameters of the enclosure structure are: an enclosure thermal inertia index D and an enclosure heat transfer resistance R.
Further, in step 2), the relationship between the wall condition temperature change index WTCI and the thermal characteristic parameter of the enclosure structure is as follows:
wherein f θ The temperature attenuation times of the wall surface of the enclosure structure are obtained; θ i，max The highest temperature of the inner wall surface of the enclosure structure is expressed as DEG C.
Further, the calculation formula of the wall temperature attenuation multiple is as follows:
in θ i，min The temperature is the lowest temperature of the inner wall surface of the enclosure structure; θ e，max The highest temperature of the outer wall surface of the enclosure structure is expressed as DEG C; θ e，min The temperature is the lowest temperature of the outer wall surface of the enclosure structure.
Further, in step 1), the wall condition temperature change index WTCI is set to be the highest temperature θ of the inner wall surface of the enclosure structure i，max The change is linear, the numerical trends are consistent and coincident, and the target value of the wall condition temperature change index WTCI is calculated according to the following regression relation;
the regression relationship is:
y＝-0.5x+31.2，r 2 ＝0.96
wherein: y represents WTCI value; x represents the highest temperature of the inner wall surface; r is a linear correlation coefficient.
A system for the optimization method, comprising:
the input module is used for inputting a target value of the wall condition temperature change index WTCI;
the calculation module is used for calculating a target ratio of thermal characteristic parameters of the building envelope according to the target value of the wall condition temperature change index WTCI; adjusting the values of the thermal characteristic parameters within the actual value range of the thermal characteristic parameters to obtain N thermal characteristic parameter value combinations meeting the target ratio, and obtaining actual construction optimization schemes of M building enclosures according to the thermal characteristic parameter value combinations;
and the display module is used for displaying the thermal characteristic parameter value combination meeting the target ratio.
Compared with the prior art, the invention has the beneficial effects that:
1) The embodiment of the invention provides a novel dynamic thermal performance evaluation index of an enclosure structure: the wall body condition temperature change index WTCI is utilized to optimize the actual structure of the building enclosure structure, the range value of the optimized thermal characteristic parameter is obtained, N optimization schemes are obtained in the range of the actual thermal characteristic parameter, the design and evaluation of the thermal performance of the enclosure structure under multiple working conditions can be guided, and the design of the enclosure structure of the multi-working-condition staggered operation building can be guided.
2) The dynamic thermal performance evaluation index of the enclosure structure provided by the embodiment of the invention meets the analysis requirements of heat transfer types of the heat preservation and heat insulation enclosure structures. The definition of WTCI formula is as follows: when the outdoor calculation temperature condition is changed from summer to winter, the wall temperature attenuation multiple is related to the thermal characteristics of the building envelope, the influence of the change of the outdoor calculation condition is small, the highest temperature of the inner wall surface temperature is changed along with the change of the outdoor calculation condition, therefore, the WTCI is changed along with the change of the outdoor calculation condition, the index has adaptability to the outdoor calculation condition, namely, the thermal performance change of the building envelope in different seasons can be reflected, and the index is also suitable for winter.
3) The dynamic thermal performance evaluation index of the enclosure structure provided by the embodiment of the invention is simple and convenient to calculate. The WTCI comprises three elements of a heat inertia and heat transfer resistance value, a wall surface temperature attenuation multiple and an inner wall surface temperature, and is an index for the building envelope, and all parameters of the WTCI are measured through the building envelope. The method does not relate to a complicated calculation method of other parameters such as indoor temperature, outdoor temperature and the like, and the energy saving potential of the enclosure structure under the air conditioning working condition can be quickly known without using energy consumption simulation software, so that the optimization of the actual structure of the enclosure structure is more convenient.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention. In the drawings:
FIG. 1 is a flowchart of an optimization method provided in an embodiment of the present invention;
FIG. 2 is a diagram of a natural draft operating mode bi-directional periodic heat event;
FIG. 3 is a diagram of unidirectional periodic heat action of an air conditioner;
FIG. 4 is a schematic diagram of a building envelope model;
FIG. 5 is a thermal parameter diagram of the air conditioner operating mode;
FIG. 6 is a thermal parameter diagram of natural draft conditions;
FIG. 7 is a graph of temperature of the inner wall surface of the natural draft condition versus the index;
FIG. 8 is a graph of air conditioning operating mode energy consumption versus index;
FIG. 9 is a comparison diagram of the structure optimization of the summer heat and winter warm areas before and after;
FIG. 10 is a schematic view of a first type of enclosure thermal characterization parameters;
FIG. 11 is a diagram illustrating a thermal performance parameter of a second type of enclosure.
Detailed Description
The invention will be described in detail below with reference to the drawings in connection with embodiments. It should be noted that, in the case of no conflict, the embodiments and features in the embodiments may be combined with each other.
The following detailed description is exemplary and is intended to provide further details of the invention. Unless defined otherwise, all technical terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments in accordance with the invention.
Along with the application and popularization of non-air-conditioning energy-saving behavior research, buildings frequently adopt a mode of staggering natural ventilation working conditions and air-conditioning working conditions. Therefore, new requirements are put forward on the thermal performance of the building envelope. In order to be suitable for optimizing the thermal performance of the building envelope by non-air-conditioning energy-saving behaviors and improving the energy-saving quality of the building, the embodiment of the invention provides a method and a system for optimizing the thermal performance of the building envelope under multi-working-condition operation, and provides a new building envelope thermal performance evaluation index, namely a wall condition temperature change index WTCI (Wall Temperature Condition Index), by researching the influence mechanism of the building operation condition on the dynamic thermal performance of the building, wherein the new building envelope thermal performance evaluation index comprises three elements, namely a thermal inertia and heat transfer resistance value, a wall temperature attenuation multiple and an inner wall temperature.
The embodiment of the invention provides a method for optimizing the thermal performance of an enclosure structure under multi-station operation, which comprises the following steps:
1) Calculating a target ratio of thermal characteristic parameters of the enclosure structure according to a target value of the wall condition temperature change index WTCI;
in the step 1), the wall body condition temperature change index WTCI is along with the highest temperature theta of the inner wall surface of the enclosure structure i，max The change is linear, the numerical trends are consistent and coincident, and the target value of the wall condition temperature change index WTCI is calculated according to the following regression relation;
the regression relationship is:
y＝-0.5x+31.2，r 2 ＝0.96
wherein: y represents WTCI value; x represents the highest temperature of the inner wall surface; r is a linear correlation coefficient.
2) Adjusting the values of the thermal characteristic parameters within the actual value range of the thermal characteristic parameters to obtain N thermal characteristic parameter value combinations meeting the target ratio in the step 1), wherein N is a positive integer;
the thermal characteristic parameters of the enclosure structure are as follows: an enclosure thermal inertia index D and an enclosure heat transfer resistance R.
The relationship between the wall condition temperature change index WTCI and the thermal characteristic parameter of the enclosure structure is as follows:
wherein f θ The temperature attenuation times of the wall surface of the enclosure structure are obtained; θ i，max The highest temperature of the inner wall surface of the enclosure structure is expressed as DEG C.
The calculation formula of the wall temperature attenuation multiple is as follows:
in θ i，min The temperature is the lowest temperature of the inner wall surface of the enclosure structure; θ e，max The highest temperature of the outer wall surface of the enclosure structure is expressed as DEG C; θ e，min The temperature is the lowest temperature of the outer wall surface of the enclosure structure.
3) Optimizing the actual construction of the enclosure in the summer, winter and warm areas to ensure that the actual thermal characteristic parameters of the enclosure meet the thermal characteristic parameter value combination in the step 2) to obtain an actual construction optimization scheme of M kinds of enclosures; m is a positive integer.
A system for the optimization method, comprising:
the input module is used for inputting a target value of the wall condition temperature change index WTCI;
the calculation module is used for calculating a target ratio of thermal characteristic parameters of the building envelope according to the target value of the wall condition temperature change index WTCI; adjusting the values of the thermal characteristic parameters within the actual value range of the thermal characteristic parameters to obtain N thermal characteristic parameter value combinations meeting the target ratio, and obtaining actual construction optimization schemes of M building enclosures according to the thermal characteristic parameter value combinations;
and the display module is used for displaying the thermal characteristic parameter value combination meeting the target ratio.
(II) as shown in FIG. 1, the embodiment of the invention provides the analysis and implementation process of the optimization method, as follows:
the first step: according to the unsteady heat transfer principle, the relation between the building operation working condition and the dynamic thermal characteristics of the building enclosure is analyzed, and the difference of the dynamic thermal characteristics of the building enclosure under the natural ventilation working condition and the air conditioning working condition is summarized;
and a second step of: the new enclosure structure thermal performance evaluation index, namely a wall condition temperature change index WTCI, is provided, and comprises three elements, namely a thermal inertia and heat transfer resistance value, a wall surface temperature attenuation multiple and an inner wall surface temperature; the inner wall surface temperature includes an inner wall surface maximum temperature and an inner wall surface minimum temperature.
And a third step of: selecting 18 building envelope construction types commonly used in summer and winter warm areas (with remarkable non-air-conditioning energy-saving behavior effect), taking a multi-layer residence as an example, respectively calculating WTCI values of the structures, and verifying the effectiveness of the WTCI under the working conditions of natural ventilation and air conditioning;
fourth step: and optimizing the actual structure by using WTCI indexes according to the thermal performance and thermal requirements of the actual structure to obtain optimized structural parameters and calculate the optimized energy-saving performance.
(III) the method of the present invention was verified by the following examples.
The first step: and researching the influence mechanism of the building operation condition on the dynamic thermal performance of the enclosure structure. And respectively researching the difference between the heat transfer process and the heat environment of the natural ventilation working condition and the air conditioning working condition.
The wall body is subjected to indoor and outdoor heat disturbance under two working conditions of natural ventilation and air conditioning, but the heat environment is different from the heat transfer process. As shown in fig. 2, the natural ventilation working condition is the indoor and outdoor bidirectional unstable periodic harmonic heat effect, the heat of the enclosure structure is transferred from the outdoor to the indoor under the effect of the outdoor comprehensive temperature wave, and the temperature wave is a delay and attenuation process, and is influenced by the wall construction mode and the thermal performance and is also influenced by the coupling effect of the fluctuation heat disturbance of the indoor and the outdoor sides. As shown in fig. 3, the air conditioner working condition is outdoor unidirectional unstable periodic harmonic thermal action, indoor stable heat transfer is realized, a large temperature difference exists between the indoor and the outdoor, and heat energy is transferred from the outdoor to the indoor through the outer protective structure. The inner wall surface of the building enclosure is affected by the heat conduction and radiation heat between the surfaces and the convection heat exchange and heat exchange with indoor air.
And a second step of: because of the difference of heat transfer mechanism and indoor thermal environment between the natural ventilation working condition and the air conditioning working condition, the heat insulation control indexes of different working conditions are different, and corresponding thermal engineering design can be obtained according to the heat insulation requirements under different working conditions.
The relationship between the indoor temperature and the outdoor temperature of a natural ventilation room is determined by the establishment of heat insulation standards in China, and the control of the inner surface temperature is further pointed out by taking the inner surface temperature as an enclosure structure heat insulation design index, so that the highest temperature theta of the inner surface of a wall body i Not greater than the maximum value t of the calculated temperature of the outdoor air e . Under the natural ventilation working condition, the heat insulation performance of the enclosure structure depends on the difference value between the calculated maximum temperature value of the outdoor air and the maximum temperature of the inner wall surface, and the larger the difference value is, the better the heat insulation performance is, and on the contrary, the worse the heat insulation performance is.
The control under the working condition of the air conditioner is energy-saving control, and the index of the control is the annual power consumption of the air conditioner. The annual power consumption of the building is calculated by adopting a dynamic time-by-time simulation method, wherein the annual power consumption of the building is specified in the energy-saving design standard of residential buildings in summer and winter heating areas, and the numerical value is the annual power consumption of the air conditioner in unit building area (JGJ 75-2012[ S ]. The housing and urban and rural construction department of the people's republic of China, 2012). According to the energy-saving design specification and the related researches in the past aiming at the air-conditioning working condition, the lower the energy consumption is, the better the heat insulation performance of the enclosure structure is.
In order to study the influence of the operation condition on the thermal performance of the building, a method for optimizing the thermal performance of the building envelope under the condition of multiple operation modes must be searched. Through intensive research, the condition of temperature fluctuation of the inner surface of the outer wall under natural working conditions is not only influenced by the construction mode and thermal performance of the wall, but also influenced by the coupling effect of fluctuation heat disturbance of the indoor side and the outdoor side. And the outdoor comprehensive temperature fluctuation heat disturbance difference of the outer wall can be transmitted and reflected to the inner wall surface through the wall body under the working condition of the air conditioner. The present embodiment mainly categorizes the thermal characteristics of the building into several thermal characteristics parameters, and the building is analyzed and evaluated by these parameters.
The present embodiment therefore introduces two parameters: thermal inertia and heat transfer resistance and wall temperature decay times. The two parameters are important parameters for evaluating the heat insulation and heat storage performance of the enclosure structure.
The calculation formula of the wall temperature attenuation times is as follows:
in θ i，max The highest temperature of the inner wall surface of the enclosure structure is expressed as DEG C; θ i，min The temperature is the lowest temperature of the inner wall surface of the enclosure structure; θ e，max The highest temperature of the outer wall surface of the enclosure structure is expressed as DEG C; θ e，min The temperature is the lowest temperature of the outer wall surface of the enclosure structure.
According to the two existing parameters, a new index, namely a wall condition temperature change index WTCI (Wall Temperature Condition Index), is provided, and the formula is as follows:
wherein: f (f) θ Is the temperature attenuation multiple of the wall surface of the enclosure structure,θ i，max the highest temperature of the inner wall surface of the enclosure structure is expressed as DEG C; θ i，min The temperature is the lowest temperature of the inner wall surface of the enclosure structure; θ e，max The highest temperature of the outer wall surface of the enclosure structure is expressed as DEG C; θ e，min The temperature is the lowest temperature of the outer wall surface of the enclosure structure; d is a thermal inertia index of the enclosure structure; r is the heat transfer resistance of the enclosure structure, m 2 ·K/W。
Physical definition of WTCI index: the dimension of the heat insulation index is W/m 2 The method is used for comparing the heat insulation performance of the wall under various working conditions, and the higher the index value is, the better the comprehensive heat insulation performance of the wall is and the lower the energy consumption is.
And a third step of: the non-air-conditioning energy-saving behavior has remarkable effect in summer heat and winter warm areas, 18 building envelope construction types commonly used in the areas are selected, and a multi-layer residential building is taken as an example to calculate the condition temperature change index WTCI of the 18 building envelopes. The model building shown in fig. 4 was used as a subject. The geometric parameters and envelope characteristics of the model building are shown in tables 1 and 2. The WTCI values and the values of the original indexes of the multiple working conditions are shown in table 3.
Table 1 geometric parameter dimensions of model building and thermal characteristics of fixed enclosure
TABLE 2 thermal parameter variables of building envelope
As can be seen from Table 3, the WTCI values and the original index values of the multiple working conditions have a good-bad correspondence. The influence relation between the working condition and the heat insulation performance and the change rule of the heat insulation performance with the working condition of different configurations are studied, as shown in fig. 5 and 6. And (3) in combination with the numerical conclusion obtained in the third step of table 3, deeply discussing whether the novel index WTCI can be used as a multi-working-condition heat insulation index, and verifying the effectiveness of the WTCI on the wall heat insulation performance evaluation under the multi-working-condition by adopting a linear regression analysis method, as shown in fig. 7 and 8.
TABLE 3 thermal evaluation index of building envelope
As can be seen from fig. 5, under the air conditioning working condition, the wall temperature attenuation multiple, thermal inertia and heat transfer resistance have the same trend as the energy consumption, and meanwhile, the trend of the wall temperature is matched with that of the wall temperature, and the change of the delay time has no obvious regularity. As can be seen from fig. 6, the trends of the wall temperature attenuation times, thermal inertia and heat transfer resistances are also matched with those of the inner wall temperature under the natural ventilation condition, and the change of the delay time is not obvious in regularity. Therefore, it can be seen that the wall temperature attenuation factor, the thermal inertia and the heat transfer resistance can be used as parameters for evaluating two working conditions, and are respectively matched with the trend of the energy consumption under the air conditioning working condition and the trend of the temperature of the inner wall under the natural ventilation working condition. Meanwhile, the wall temperature attenuation times under different working conditions can be seen to be different in numerical value, and the parameter is an important parameter for distinguishing the heat insulation performance under different working conditions. In combination with the numerical conclusion obtained in table 3, in order to further investigate whether the new index WTCI can be used as a multi-working-condition heat insulation index, regression analysis is performed on the WTCI values and the original index values under the two working conditions.
As can be seen from fig. 7, WTCI exhibits linearity with the maximum temperature change of the inner wall surface, and the numerical trends coincide consistently, and the regression relation is:
y＝-0.5x+31.2，r 2 ＝0.96 (3)
as can be seen from fig. 8, WTCI shows linearity with unit area of the change of the cooling load, and the numerical trends coincide consistently, and the regression relation is:
y＝-5.7x+91.9，r 2 ＝0.94 (4)
therefore, the WTCI index can intuitively reflect the heat insulation performance under multiple working conditions: under the natural ventilation working condition, the larger the WTCI is, the better the heat resistance effect of the wall body is, and under the air conditioning working condition, the larger the WTCI is, the lower the building energy consumption is.
Fourth step: according to an indoor air conditioner control strategy, on the basis of exerting the maximum effect of human behavior adjustment, the WTCI index is applied to propose the thermal operation parameters of the enclosure structure meeting the operation of an air conditioner so as to optimize the wall structure.
The WTCI index is a comprehensive evaluation index for the thermal performance of the building envelope under two indoor environment adjustment modes, namely a natural ventilation working condition and an air conditioning working condition. Therefore, the device can meet the requirements of thermal design under the behavior energy-saving working condition. By combining the starting temperature of the air conditioner in the behavior energy-saving mode, the thermal characteristic parameters of the enclosure structure meeting the behavior energy-saving requirement can be reversely deduced through the index, so that a specific construction scheme meeting the requirement is provided. The WTCI index determines the thermal performance of the wall body, which can be achieved through a plurality of different enclosuresThe structural construction is realized. When the new WTCI index is determined, the trend of decreasing or increasing is determined by comparing with the old index, as can be seen from the formula (2)With the same direction change rule, the corresponding construction mode can be selected according to the change trend of the decrease or increase of the thermal performance of the wall, and then the ∈10 is controlled according to the formula (2)>And finely adjusting the construction mode by the wall temperature attenuation multiple until the wall temperature attenuation multiple meets the new WTCI index, thereby completing the new construction design meeting the thermal performance requirement.
Taking the residential building in Guangzhou in summer and winter warm areas as an example, according to the field test data, for bedrooms, the local conventional enclosure structure is a reinforced concrete wall with the parameter D 0 =2.31 and R 0 The average room duration of the personnel is 9.8h, the air conditioner is started for 4.9h under the premise of meeting the thermal adaptation of human body according to the air conditioner design temperature of 26 ℃, and the energy consumption is 4.2 kW.h. The WTCI value of the enclosure under the actual working condition is 2.1. According to the field test, the regional adaptability of the analyst is analyzed, and the air conditioner starting temperature is 29.8 ℃. And comparing the previous air conditioner design temperature with 26 ℃, raising the highest temperature of the inner wall surface of the old structure by 3.8 ℃ in equal proportion to obtain a new highest temperature of the inner wall surface, and obtaining the optimized maximum value of the WTCI by a regression formula (shown in figure 7) of the new highest temperature of the inner wall surface and the WTCI. Then the relevant parameter of the optimized enclosure structure is calculated in a back-pushing way according to the formula 2 to be D 0 ＝2.71、R 0 =1.88. The starting temperature of the air conditioner is the highest temperature of the new inner wall surface.
The energy consumption was simulated by bringing parameters into the energy plus software. Comparing the energy consumption of the structure before and after the optimization, as can be seen from fig. 9, the opening time of the air conditioner after the optimization is reduced by 12.2%, and the energy is saved by 19.3% compared with the air conditioner before the optimization, and the structure selected by combining the thermal requirement with the WTCI index meets the requirement of behavior energy conservation more than the structure under the current specification. As shown in fig. 10 and 11, as long as the construction meets the thermal parameter requirements, the same thermal and energy saving effects can be obtained in different construction forms. The method gives the thermal engineering and energy-saving design a greater design flexibility and a wider application space.
In summary, the comparison between the natural ventilation working condition and the air conditioning working condition in the embodiment of the invention is to analyze the wall condition temperature change index WTCI, which cannot be considered, and the performance of the natural ventilation working condition and the air conditioning working condition is better as the WTCI index is larger and larger, and the general trend is obtained by comparing the two working conditions. In future use, the WTCI index has greater significance for use under the condition that natural ventilation working conditions and air conditioning working conditions are intermittently alternated. The analysis of the influence factors of the WTCI and the guidance of the thermal design in the patent are used for explaining that the influence degree of the same factors on the WTCI under two working conditions is different, and further explaining that the thermal response mechanisms of the same building envelope under the natural ventilation working condition and the air conditioning working condition are different. The thermodynamic design guidance for both working conditions is based on a WTCI-based index evaluation. Therefore, the WTCI index provided by the embodiment of the invention is an evaluation index considering the connotation of two working conditions, and can effectively and simply guide the thermal design of the enclosure structure in the behavior energy-saving mode.
It will be appreciated by those skilled in the art that the present invention can be carried out in other embodiments without departing from the spirit or essential characteristics thereof. Accordingly, the above disclosed embodiments are illustrative in all respects, and not exclusive. All changes that come within the scope of the invention or equivalents thereto are intended to be embraced therein.
Claims (2)
1. The method for optimizing the thermal performance of the enclosure structure under the multi-station operation is characterized by comprising the following steps of:
1) Calculating a target ratio of thermal characteristic parameters of the enclosure structure according to a target value of the wall condition temperature change index WTCI;
2) Adjusting the values of the thermal characteristic parameters within the actual value range of the thermal characteristic parameters to obtain N thermal characteristic parameter value combinations meeting the target ratio in the step 1);
3) Optimizing the actual construction of the enclosure in the summer, winter and warm areas to ensure that the actual thermal characteristic parameters of the enclosure meet the thermal characteristic parameter value combination in the step 2) to obtain an actual construction optimization scheme of M kinds of enclosures;
in the step 2), the thermal characteristic parameters of the enclosure structure are as follows: the thermal inertia index D of the enclosure and the heat transfer resistance R of the enclosure;
in the step 2), the relationship between the wall body condition temperature change index WTCI and the thermal characteristic parameter of the enclosure structure is as follows:
wherein f θ The temperature attenuation times of the wall surface of the enclosure structure are obtained; θ i，max The highest temperature of the inner wall surface of the enclosure structure is expressed as DEG C;
the calculation formula of the wall temperature attenuation multiple is as follows:
in θ i，min The temperature is the lowest temperature of the inner wall surface of the enclosure structure; θ e，max The highest temperature of the outer wall surface of the enclosure structure is expressed as DEG C; θ e，min The temperature is the lowest temperature of the outer wall surface of the enclosure structure;
in the step 1), the wall body condition temperature change index WTCI is along with the highest temperature theta of the inner wall surface of the enclosure structure i，max The change is linear, the numerical trends are consistent and coincident, and the target value of the wall condition temperature change index WTCI is calculated according to the following regression relation;
the regression relationship is:
y＝-0.5x+31.2，r 2 ＝0.96
wherein: y represents WTCI value; x represents the highest temperature of the inner wall surface; r is a linear correlation coefficient.
2. A system for the optimization method of claim 1, comprising:
the input module is used for inputting a target value of the wall condition temperature change index WTCI;
the calculation module is used for calculating a target ratio of thermal characteristic parameters of the building envelope according to the target value of the wall condition temperature change index WTCI; adjusting the values of the thermal characteristic parameters within the actual value range of the thermal characteristic parameters to obtain N thermal characteristic parameter value combinations meeting the target ratio, and obtaining actual construction optimization schemes of M building enclosures according to the thermal characteristic parameter value combinations;
and the display module is used for displaying the thermal characteristic parameter value combination meeting the target ratio.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010752815.0A CN111859514B (en) | 2020-07-30 | 2020-07-30 | Method and system for optimizing thermal performance of building envelope under multi-station operation |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010752815.0A CN111859514B (en) | 2020-07-30 | 2020-07-30 | Method and system for optimizing thermal performance of building envelope under multi-station operation |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111859514A CN111859514A (en) | 2020-10-30 |
| CN111859514B true CN111859514B (en) | 2024-01-30 |
Family
ID=72945123
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010752815.0A Active CN111859514B (en) | 2020-07-30 | 2020-07-30 | Method and system for optimizing thermal performance of building envelope under multi-station operation |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111859514B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112507631B (en) * | 2020-11-19 | 2022-04-15 | 中国核动力研究设计院 | Narrow-channel flow instability outlet boundary gas-containing rate limit value testing method and system |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101476754A (en) * | 2008-12-31 | 2009-07-08 | 孝感学院 | Construction thermal environment and construction energy-saving control method in air-conditioning construction |
| CN101476753A (en) * | 2008-12-31 | 2009-07-08 | 孝感学院 | Construction thermal environment and construction energy-saving control method in heating construction |
| CN106295029A (en) * | 2016-08-16 | 2017-01-04 | 重庆大学 | A kind of building multi-objective optimization design of power method guided based on performance |
| CN107357969A (en) * | 2017-06-22 | 2017-11-17 | 新奥泛能网络科技股份有限公司 | Building thermal system Optimization Design based on BIM technology |
| WO2019059876A1 (en) * | 2017-09-25 | 2019-03-28 | Андрей Васильевич ЕРЕМИН | System for comprehensive thermal renovation of buildings or structures |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CA2761416C (en) * | 2009-05-08 | 2021-01-19 | Accenture Global Services Limited | Building energy consumption analysis system |
-
2020
- 2020-07-30 CN CN202010752815.0A patent/CN111859514B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101476754A (en) * | 2008-12-31 | 2009-07-08 | 孝感学院 | Construction thermal environment and construction energy-saving control method in air-conditioning construction |
| CN101476753A (en) * | 2008-12-31 | 2009-07-08 | 孝感学院 | Construction thermal environment and construction energy-saving control method in heating construction |
| CN106295029A (en) * | 2016-08-16 | 2017-01-04 | 重庆大学 | A kind of building multi-objective optimization design of power method guided based on performance |
| CN107357969A (en) * | 2017-06-22 | 2017-11-17 | 新奥泛能网络科技股份有限公司 | Building thermal system Optimization Design based on BIM technology |
| WO2019059876A1 (en) * | 2017-09-25 | 2019-03-28 | Андрей Васильевич ЕРЕМИН | System for comprehensive thermal renovation of buildings or structures |
Non-Patent Citations (2)
| Title |
|---|
| 室内采暖条件下围护结构(墙、屋顶)的保温控制与节能控制――建筑热环境与建筑节能研究(之四);黄恒栋, 谯京旭;华中建筑(第06期);全文 * |
| 黄恒栋,谯京旭.室内采暖条件下围护结构(墙、屋顶)的保温控制与节能控制――建筑热环境与建筑节能研究(之四).华中建筑.2004,(第06期),全文. * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111859514A (en) | 2020-10-30 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Li et al. | Energy simulation and analysis of the heat recovery variable refrigerant flow system in winter | |
| CN101576306B (en) | Energy-saving method for intelligently controlling temperature of network communication computer room | |
| Li et al. | Natural ventilation potential of high-rise residential buildings in northern China using coupling thermal and airflow simulations | |
| CN110543713B (en) | Heat pump-floor heating system control method considering user comfort and building heat storage | |
| CN114896664B (en) | Park building photovoltaic integrated enclosure structure optimization method and system | |
| Jewell | The effects of residential energy efficiency on electric demand response programs | |
| CN111859514B (en) | Method and system for optimizing thermal performance of building envelope under multi-station operation | |
| Ling et al. | Simulation and optimization of the operation strategy of ASHP heating system: A case study in Tianjin | |
| Jin et al. | A novel method for building air conditioning energy saving potential pre-estimation based on thermodynamic perfection index for space cooling | |
| CN104597884A (en) | Building energy saving system | |
| CN117057021A (en) | Building reconstruction scheme optimization method based on multi-objective dynamic weight | |
| Hendron | Building America performance analysis procedures for existing homes | |
| Randolph et al. | Energy efficiency for buildings | |
| CN105549389A (en) | Household energy management algorithm based on building thermodynamic model | |
| CN202868891U (en) | All-season full-automatic office building energy-saving air conditioner system | |
| Zhou et al. | Study on the relationship between thermal comfort and air-conditioning energy consumption in different cities | |
| Rahman et al. | Energy conservation measures in an institutional building by dynamic simulation using DesignBuilder | |
| Meng et al. | Path analysis of energy-saving technology in Yangtze River basin based on multi-objective and multi-parameter optimisation | |
| Choi et al. | Grey-box Model Develop and MPC Simulation of Campus Office Zone based on Actual Measurement | |
| Alessio et al. | All-air system and radiant floor for heating and cooling in residential buildings: A simulation-based analysis | |
| Korolija et al. | Selecting HVAC systems for typical UK office buildings | |
| Giuseppe et al. | The use of air handling units in residential near zero-energy buildings | |
| Mertz et al. | Conceptual design of net zero energy campus residence | |
| CN115127138B (en) | Heat supply method of heat supply system combining air source and gas source | |
| Sun et al. | Study on Energy Consumption Characteristics of Air Conditioning in an Existing Residential Building |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |