Building envelope decarburization design strategy giving consideration to load quality and personnel demand difference

Abstract

The invention provides a building envelope decarburization design strategy giving consideration to load quality and personnel demand difference, according to the strategy, firstly, building air conditioner loads are graded according to cold and heat source temperatures needed for load processing, the quality difference of the building air conditioner loads is determined, a targeted efficient processing path is designed, and high-quality energy is reasonably distributed to be used. Then, a photo-thermal demand database suitable for people of different age groups is constructed, corresponding photo-thermal demands are matched according to the ages of building users, and constraint conditions of optimization design are defined; in the optimization process, the enclosure structure is divided into a load blocking type and a load regulating type. The method comprises the following steps: firstly, optimizing a load blocking type enclosure structure so as to reduce the number of building loads; on the basis, the load regulation and control type enclosure structure is optimized by combining the quality difference of indoor loads, low-quality energy sources such as natural heat energy and natural cold energy are fully utilized to meet the indoor low-quality load requirement, and efficient gradient utilization of the energy sources is achieved. According to the design strategy, load quality difference and photo-thermal comfort are taken into consideration, the comfort of different crowds is guaranteed, meanwhile, the building energy efficiency is remarkably improved, and the design strategy has important significance on energy conservation and emission reduction.

Description

Technical Field

[0001] The invention relates to the field of building envelope optimization, and provides a building envelope decarbonization design method that takes into account differences in load quality and personnel requirements. Background Art

[0002] As a bridge connecting the indoor and outdoor environments, the design of the building envelope is not only directly related to the carbon emissions of the building throughout its life cycle, but also has a profound impact on the indoor light and heat comfort and energy efficiency performance. However, the current design optimization of the envelope structure often ignores the diversity of load quality and its efficient processing strategy, resulting in the inefficient use of high-quality energy to process low-quality loads. At the same time, there is a lack of sufficient consideration for the differentiated needs of people of different ages for the light and heat environment, which in turn causes problems such as insufficient indoor environmental comfort or excessive energy consumption.

[0003] To solve this problem, traditional methods tend to use a combination of parametric design and stochastic optimization algorithms to globally optimize the variables of the envelope structure. However, the complexity of envelope structure design, including the wide variety of variables and the significant coupling effects between them, often causes the optimization process to fall into a local optimal solution, making it difficult to achieve a global optimal solution. In addition, due to the lack of detailed data on the light and heat comfort range for people of different age groups, the constraints in the optimization process are difficult to accurately quantify, which hinders the realization of a decarbonization design solution for building envelope structures that is both energy-saving and comfortable in actual projects. Summary of the invention

[0004] The present invention proposes an innovative decarbonization design strategy for building envelope structures, which specifically includes the following steps:

[0005] (1) Classify the air conditioning load of the building, identify its quality differences, and then design targeted and efficient processing paths to ensure the rational use of high-quality energy;

[0006] (2) Establish a database of solar and thermal demand covering people of different age groups to provide basic data support for the constraints of optimal design of building envelope structures;

[0007] (3) For the target building to be optimized, obtain its basic information, including building type, user population and operation data, and calculate the carbon emissions of the building under the existing conditions throughout its life cycle as a benchmark value;

[0008] (4) The solar thermal demand data of the target building users are extracted from the solar thermal demand database as the constraint condition for the optimization design. The carbon emissions over the entire life cycle are taken as the optimization target. Combined with the load quality classification concept, the building envelope structure is optimized in stages, and finally the optimal decarbonization design scheme for the envelope structure over the entire life cycle of the target building is obtained.

[0009] According to the above scheme, the load quality classification is divided according to the temperature range of the cold and heat sources required to process the load, and then a targeted and efficient processing path is designed; that is, natural cold and heat sources are used first to process low-quality loads, and then medium-quality energy such as low-temperature hot water or high-temperature cold water is used to process medium-quality loads. Finally, traditional high-temperature water heating or low-temperature water cooling is used to process the remaining high-quality loads, realizing the cascade utilization of energy, thereby improving energy utilization efficiency and achieving a more refined decarbonization design.

[0010] According to the above scheme, the solar heat demand database is established by the following steps:

[0011] (1) Determine the light and thermal environment requirements of people of different age groups based on their physiological and psychological developmental characteristics;

[0012] (2) Define illumination, color temperature, indoor temperature and humidity, and related indicators based on lighting standards and thermal comfort parameters;

[0013] (3) Combined with field survey data, collect light and heat environment data in different climate zones and typical building types to determine the demand parameter range for people of different age groups;

[0014] (4) Through data analysis and model construction, a solar and thermal demand database suitable for different building types and people of different age groups is generated to provide guidance for the optimal design of the building envelope.

[0015] According to the above scheme, the phased optimization method divides the envelope structure into load blocking type and load regulation type according to the processing mechanism of the building load; the former reduces the heat transfer between indoor and outdoor and reduces the number of indoor loads, while the latter reduces the load quality and gives priority to the use of low-quality energy to regulate the indoor load.

[0016] According to the above scheme, the load-barrier enclosure structure optimization is based on the light and heat demand that matches the age of the database as a constraint condition, and the carbon emissions over the entire life cycle as an optimization target. By optimizing its insulation and thermal insulation performance parameters, the total number of building loads is reduced to obtain the optimization results of the first stage.

[0017] According to the above scheme, the load-controlled enclosure structure optimization, based on the optimization results of the first stage and based on the idea of ​​load quality differences, adopts dynamic adjustment methods such as embedded tube walls and phase change materials to give priority to indoor low-quality loads, and then sequentially process medium and high-quality loads, to achieve cascade utilization of energy and achieve more efficient carbon emission reduction effects. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is the overall flow chart of the present invention.

[0019] Figure 2 This is the load classification processing path diagram of the present invention.

[0020] Figure 3 A flow chart is constructed for the light-heat demand database of the present invention.

[0021] Figure 4 An optimized flow chart is designed for decarburization of the present invention. DETAILED DESCRIPTION

[0022] In order to make the objectives, technical solutions and advantages of the embodiments of the present invention more clear, the present invention will be further described in detail below with reference to the accompanying drawings in the embodiments of the present invention.

[0023] like Figure 1 As shown, the decarbonization design strategy for building envelope structures described in this embodiment taking into account differences in load quality and personnel needs includes:

[0024] (1) Classify the air conditioning load of the building and clarify its quality differences, so as to reasonably select and allocate the cold and heat sources, ensure that low-quality energy is used first to process low-quality loads, and high-quality energy is only used to process high-quality loads, and complete the targeted and efficient processing path design;

[0025] (2) Establish a solar thermal demand database covering people of different age groups and various building types, match the solar thermal demand data according to the building user population, and determine the constraints for subsequent building envelope structure design optimization;

[0026] (3) For the target building to be optimized, based on the initial design drawings and field surveys, obtain basic information about the target building, including user population, operation data, envelope performance and design parameters, calculate the building's full life cycle carbon emissions under existing conditions, and use this as a benchmark to assess the carbon reduction potential;

[0027] (4) According to the user population of the target building, the corresponding demand data is extracted from the solar and thermal demand database as the constraint condition for the optimization design. Taking the carbon emissions over the entire life cycle as the optimization target, a genetic algorithm is used to optimize the building envelope structure in stages: first, for the load-blocking envelope structure, the total number of building loads is reduced by optimizing the insulation and thermal insulation performance parameters, while the embodied carbon emissions of building materials are comprehensively considered; on this basis, the load-regulating envelope structure is optimized in combination with the load quality grading idea, making full use of low-quality energy such as natural heat and natural cooling to meet the low-quality load demand indoors, thereby achieving efficient cascade utilization of energy.

[0028] like Figure 2As shown, in an embodiment of the present invention, the loads are first graded to design a targeted and efficient processing path; the loads are divided into high, medium and low quality loads according to the temperature of the cold and heat sources required to process the loads; natural cold and heat sources are preferentially used to process low quality loads, and then medium quality energy such as low-temperature hot water or high-temperature cold water is used to process medium quality loads, and finally traditional high-temperature water heating or low-temperature water cooling is used to process the remaining high quality loads, thereby realizing the cascade utilization of energy, thereby improving energy utilization efficiency and achieving a more refined decarbonization design.

[0029] like Figure 3 As shown, in the embodiment of the present invention, establishing a light-heat environment demand database specifically includes the following steps:

[0030] (1) Determine the range of lighting comfort and thermal comfort requirements: Determine the range of lighting and thermal environment requirements for people of different age groups based on their physiological and psychological development characteristics and building usage scenarios;

[0031] (2) Define comfort indicators: Based on lighting standards and thermal comfort parameters, define illumination, color temperature, indoor temperature and humidity, and related indicators;

[0032] (3) Collect data related to typical buildings in different climate zones: Through literature research combined with field research data, collect light and heat environment data in different climate zones and typical building types, obtain actual demand information, and ensure the accuracy and diversity of the data;

[0033] (4) Through data analysis and model construction, a solar and thermal demand database suitable for different building types and people of different age groups is generated to provide data support for the optimization of envelope structure design.

[0034] like Figure 4 As shown, in the embodiment of the present invention, solving the decarbonization optimization problem of the enclosure structure specifically includes the following steps:

[0035] (1) Determine the optimization objectives and constraints: Taking the solar thermal demand matching of the appropriate age group in the solar thermal demand database as the constraint condition and the carbon emissions over the entire life cycle as the optimization objective, first optimize the load-blocking envelope structure to reduce the total building load, while comprehensively considering the embodied carbon emissions of building materials; the optimization variables include the thickness of the insulation layer of the envelope structure, material type, window type and heat transfer coefficient (U value), building orientation and window-to-wall ratio (WWR), and the enhanced elite retention genetic algorithm (SEGA) is used for optimization;

[0036] (2) Based on the optimization results of the first stage, combined with the idea of ​​load quality classification, targeted and efficient processing paths are designed, load-controlled enclosure structures are optimized, dynamic adjustment measures such as embedded pipe walls and phase change materials are introduced, low-quality indoor loads are treated first, and dependence on high-quality energy is reduced. Efficient cascade utilization of energy is achieved, and the enhanced elite retention genetic algorithm (SEGA) is used for optimization;

[0037] (3) Combining the optimization results of the first and second phases, an optimization plan for decarbonization of the building envelope is output to fully achieve the decarbonization design goal of the building.

[0038] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A decarbonization design strategy for building envelope structures that takes into account differences in load quality and personnel needs, characterized in that: The specific steps include: (1) Classify the air conditioning load of the building, identify its quality differences, and then design targeted and efficient processing paths to ensure the rational use of high-quality energy; (2) Establish a database covering the solar and thermal needs of people of different age groups to provide basic data support for the constraints of the optimal design of building envelope structures; (3) For the target building to be optimized, obtain its basic information, including building type, user population and operation data, and calculate the carbon emissions of the building under the existing conditions throughout its life cycle as a benchmark value; (4) The solar thermal demand data of the target building users are extracted from the solar thermal demand database as the constraint condition for the optimization design. The carbon emissions over the entire life cycle are taken as the optimization target. Combined with the load quality classification concept, the building envelope structure is optimized in stages, and finally the optimal decarbonization design scheme for the envelope structure over the entire life cycle of the target building is obtained.

2. A decarbonization design strategy for building envelope structures that takes into account differences in load quality and personnel needs according to claim 1, characterized in that: The load quality classification in step (1) is divided according to the temperature of the cold and heat sources required to process the load, so as to design a targeted and efficient processing path; natural cold and heat sources are preferentially used to process low-quality loads, followed by medium-quality energy such as low-temperature hot water or high-temperature cold water to process medium-quality loads, and finally traditional high-temperature water heating or low-temperature water cooling is used to process the remaining high-quality loads, thereby realizing the cascade utilization of energy, thereby improving energy utilization efficiency and achieving a more refined decarbonization design.

3. A decarbonization design strategy for building envelope structures that takes into account differences in load quality and personnel needs according to claim 1, characterized in that: The solar thermal demand database in step (2) is established by the following steps: (1) Determine the light and thermal environment requirements of people of different age groups based on their physiological and psychological developmental characteristics; (2) Define illumination, color temperature, indoor temperature and humidity, and related indicators based on lighting standards and thermal comfort parameters; (3) Combined with field survey data, collect light and heat environment data of typical building types in different climate regions to determine the demand parameter range for people of different age groups; (4) Through data analysis and model construction, a solar and thermal demand database suitable for different building types and people of different age groups is generated to guide the optimal design of the building envelope.

4. A decarbonization design strategy for building envelope structures that takes into account differences in load quality and personnel needs according to claim 1, characterized in that: The optimization method described in step (4) includes: (1) Based on the mechanism for handling building loads, the building envelope is divided into load-blocking type and load-regulating type. The former reduces indoor and outdoor heat transfer and reduces the number of indoor loads, while the latter reduces the quality of loads and preferentially uses low-quality energy to regulate indoor loads. (2) For load-blocking enclosure structures, the number of building loads can be reduced by optimizing their insulation and thermal insulation performance parameters. At the same time, the embodied carbon emissions of building materials can be comprehensively considered and low-carbon or renewable materials can be selected to reduce carbon emissions during the construction and operation stages. (3) Based on the optimization results of the load-blocking enclosure structure and the load quality classification concept, the optimization of the load-regulating enclosure structure is further implemented. Dynamic adjustment methods such as embedded pipe walls and phase change materials are used to give priority to the treatment of low-quality loads in the room, reduce the high-quality loads that need to be treated by high-quality energy, and then treat the medium and high-quality loads in turn, so as to realize the cascade utilization of energy and achieve a more efficient carbon emission reduction effect.

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