CN113297659A

CN113297659A - Computing method and computing system for zero-energy-consumption and zero-carbon building

Info

Publication number: CN113297659A
Application number: CN202110583220.1A
Authority: CN
Inventors: 张时聪; 杨芯岩
Original assignee: Jianke Huanneng Technology Co ltd; China Academy of Building Research CABR
Current assignee: Jianke Huanneng Technology Co ltd; China Academy of Building Research CABR
Priority date: 2021-05-27
Filing date: 2021-05-27
Publication date: 2021-08-24

Abstract

The computing method of the zero-energy-consumption and zero-carbon building comprises the following steps: determining dynamic design parameters and a target cold and heat load value according to meteorological data of the region where the target building is located, basic design parameters of the target building, target lighting requirements and internal and external heat source proportions; determining the equipment form which enables the energy consumption of each active system to be the lowest according to the dynamic design parameters, the target cold and hot load value, the meteorological data, the basic design parameters, the target lighting requirements, the pre-acquired target water consumption and the function indexes of the target building; determining a total system energy consumption parameter value of the target building according to the dynamic design parameters, the meteorological data, the basic design parameters and the equipment forms of all active systems; and determining the equipment form of the renewable energy system of the target building according to the total system energy consumption parameter value and the meteorological data. The calculation method can accurately realize zero energy consumption and zero carbon of the target building. The invention also provides a computing system adopting the method.

Description

Computing method and computing system for zero-energy-consumption and zero-carbon building

Technical Field

The invention relates to a computing method, in particular to a computing method for a zero-energy-consumption and zero-carbon building, and a computing system for zero-energy-consumption and zero-carbon building energy sources by adopting the method.

Background

The zero-energy-consumption zero-carbon building refers to a building with zero carbon emission, can operate independently of a power grid, and can operate by means of solar energy or wind energy. The energy consumption of the building all year round is provided by renewable energy sources generated by sites under the condition of not consuming energy sources such as coal, petroleum, natural gas and the like. The zero-energy-consumption and zero-carbon building emphasizes the passive energy-saving design of the building envelope structure, and turns the building energy demand to renewable energy sources such as solar energy, wind energy, shallow geothermal energy, biomass energy and the like, so that an optimal solution is found for harmonious symbiosis of human beings, buildings and the environment. At present, designers usually design buildings according to local conditions according to experience and adopt energy-saving electric appliances to reduce the energy consumption of the buildings, and the method is not accurate enough and is difficult to stably realize zero energy consumption and zero carbon of the buildings.

Disclosure of Invention

The invention aims to provide a zero-energy-consumption zero-carbon building calculation method, which can accurately realize zero-energy-consumption zero-carbon of a target building.

Another object of the present invention is to provide a zero-energy zero-carbon building energy calculation system, which accurately realizes zero-energy zero-carbon of a target building.

The invention provides a computing method of a zero-energy-consumption and zero-carbon building, which comprises the following steps of:

determining dynamic design parameters and a target cold and heat load value according to meteorological data of the region where the target building is located, basic design parameters of the target building, target lighting requirements and internal and external heat source proportions; the basic design parameters comprise geometric parameters and material parameters of a target building, and the dynamic design parameters comprise target window-wall ratio, target orientation and thermal performance parameter values of a target enclosure structure;

determining the equipment form which enables the energy consumption of each active system to be the lowest according to dynamic design parameters, target cold and hot load values, meteorological data, basic design parameters, target lighting requirements, pre-acquired target water consumption and function indexes of a target building, wherein the active systems at least comprise an air conditioning system, a lighting system, a water supply and drainage system, an elevator system and a socket power supply system;

determining a total system energy consumption parameter value of the target building according to the dynamic design parameters, the meteorological data, the basic design parameters and the equipment forms of all active systems; and

and determining the equipment form of the renewable energy system of the target building according to the total system energy consumption parameter value and the meteorological data, wherein the capacity parameter value of the renewable energy system is greater than or equal to the total system energy consumption parameter value.

According to the method for calculating the zero-energy-consumption and zero-carbon building, firstly, according to the meteorological data, the target lighting requirement, the proportion of internal and external heat sources and other data of the target building, the dynamic design parameters meeting the target lighting requirement can be accurately determined, and the energy consumption of the building is reduced as much as possible in the passive design process; secondly, in the design of the active systems, the equipment form which meets the requirements and enables the energy consumption of each active system to be the lowest can be determined according to the actual dynamic design parameters, the target cold and hot load value, the meteorological data, the target water consumption, the target lighting requirements and other data, and the energy consumption of the building is further reduced as much as possible in the active design process; and then, accurately determining a total system energy consumption parameter value of the target building through a target energy consumption calculation model according to the determined dynamic design parameters, the equipment forms of each active system, the meteorological data and the basic design parameters of the target building and other data, and determining the renewable energy system according to the total system energy consumption parameter value, so that the capacity parameter value of the renewable energy system is greater than or equal to the total system energy consumption parameter value, the target building can realize self-production and self-utilization of energy consumption, and the zero energy consumption and zero carbon of the target building are accurately realized.

In one exemplary embodiment of a method of computing a zero energy consumption and zero carbon building, the steps of: determining dynamic design parameters and a target cold and heat load value according to meteorological data of the area where the target building is located, basic design parameters of the target building, target lighting requirements and internal and external heat source proportions, wherein the dynamic design parameters comprise:

simulating and calculating lighting result information of the target building according to first weather data of the region where the target building is located, basic design parameters of the target building, a preset window-wall ratio and a lighting calculation model, adjusting the window-wall ratio according to a comparison result of the lighting result information and target lighting requirements and the proportion of internal and external heat sources of the target building, and determining the target window-wall ratio which meets the target lighting requirements and enables the energy consumption of the target building to be lowest, wherein the first weather data comprises the lighting condition of the region where the target building is located;

simulating and calculating the summer radiation quantity and the winter radiation quantity of the target building according to second meteorological data, basic design parameters and a solar radiation calculation model of the region where the target building is located, and determining the orientation with the minimum summer radiation quantity and the maximum winter radiation quantity as the target orientation, wherein the second meteorological data comprises horizontal radiation data or radiation data of all orientations of the region where the target building is located; and

and calculating a cold and hot load value of the target building according to the target window-wall ratio, the target orientation, the basic design parameters, the pre-acquired thermal performance parameter values of the enclosure structure and the energy consumption calculation model, adjusting the thermal performance parameter values of the enclosure structure in the energy consumption calculation model, determining the thermal performance parameter value of the enclosure structure corresponding to the minimum cold and hot load value as the thermal performance parameter value of the target enclosure structure, and determining the minimum cold and hot load value as the target cold and hot load value.

In one exemplary embodiment of a method of computing a zero energy consumption and zero carbon building, the steps of: calculating a cold and hot load value of a target building according to a target window-wall ratio, a target orientation, basic design parameters, a pre-obtained enclosure structure thermal performance parameter value and an energy consumption calculation model, adjusting the size of the enclosure structure thermal performance parameter value in the energy consumption calculation model, determining the enclosure structure thermal performance parameter value corresponding to the minimum cold and hot load value as the target enclosure structure thermal performance parameter value, and determining the minimum cold and hot load value as the target cold and hot load value, wherein the method comprises the following steps:

calculating a cold and heat load value of a target building according to the target window-wall ratio, the target orientation, the basic design parameters, the pre-acquired thermal performance parameter values of the enclosure structure and the energy consumption calculation model, wherein the cold and heat load value comprises a annual maximum cold and heat load value and an annual accumulated cold and heat load value;

setting precooling time in an energy consumption calculation model, and determining precooling time corresponding to the lowest annual maximum cold-heat load value and the increased annual accumulated cold-heat load value smaller than a preset threshold as optimal precooling time; and

adjusting the thermal performance parameter value of the enclosure structure of the energy consumption calculation model, and determining the thermal performance parameter value of the enclosure structure corresponding to the lowest annual accumulated cold and heat load value as the thermal performance parameter value of the target enclosure structure;

and setting the precooling time of the energy consumption calculation model as the optimal precooling time, setting the thermal performance parameter value of the envelope structure of the energy consumption calculation model as the thermal performance parameter value of the target envelope structure, and calculating the corresponding target cold and heat load value.

In one exemplary embodiment of a method of computing a zero energy consumption and zero carbon building, the steps of: determining the equipment form which enables the energy consumption of each active system to be the lowest according to the dynamic design parameters, the target cold and heat load value, the meteorological data, the basic design parameters, the target lighting requirements, the pre-acquired target water consumption and the function indexes of the target building, and comprising the following steps:

determining a plurality of air conditioning system devices to be selected according to the target cold and hot load value; adjusting air conditioning system parameters in the energy consumption calculation model according to the air conditioning system equipment to be selected, performing simulation calculation to obtain an air conditioning system energy consumption curve corresponding to each air conditioning system equipment to be selected, comparing the air conditioning system energy consumption curves, and determining the air conditioning system equipment to be selected with the lowest energy consumption as the air conditioning system equipment;

determining a plurality of types of water supply and drainage equipment to be selected according to the pre-obtained target water consumption; adjusting water supply and drainage system parameters in the energy consumption calculation model according to the water supply and drainage equipment to be selected, performing simulation calculation to obtain a water supply and drainage system energy consumption curve corresponding to each air conditioning system equipment to be selected, comparing the energy consumption curves, and determining the water supply and drainage equipment with the lowest energy consumption as the water supply and drainage system equipment;

performing simulation calculation according to the dynamic design parameters, the meteorological data, the basic design parameters and the target lighting requirements, determining active lighting time and a preset number of target lighting lamps, using the preset number of target lighting lamps as equipment of the lighting system, and determining a lighting control strategy of the lighting system according to the active lighting time; and

and determining equipment of the socket power supply system and the elevator system according to the function index of the target building.

In an exemplary embodiment of the method for calculating a zero-energy-consumption and zero-carbon building, after determining the device configuration of the renewable energy system of the target building according to the total system energy consumption parameter value and the meteorological data, the method further includes: and generating a construction requirement report to indicate the construction of the target building according to the dynamic design parameters, the equipment forms of the active systems and the equipment forms of the renewable energy system.

In one exemplary embodiment of a method of computing a zero energy consumption and zero carbon building, the steps of: according to the dynamic design parameters, the equipment forms of the active systems and the equipment forms of the renewable energy system, a construction requirement report is generated to indicate the construction of the target building, and the method also comprises the following steps:

acquiring the equipment form of an actually selectable active system in the construction process, returning to execute the step of determining the equipment form which enables the energy consumption of each active system to be the lowest according to the dynamic design parameters, the target cold and hot load value, the meteorological data, the basic design parameters, the target lighting requirements, the pre-acquired target water consumption and the function indexes of the target building, and re-determining the equipment form of each active system and the equipment form of the renewable energy system;

or, after generating a construction requirement report to guide the construction of the target building according to the dynamic design parameters, the equipment form of each active system and the equipment form of the renewable energy system, the method further comprises: monitoring lighting time and air temperature data of the target building during actual operation after construction is built, adjusting meteorological data of an energy consumption calculation model, calculating actual energy consumption of each active system, and adjusting precooling time and an illumination control strategy.

In an exemplary embodiment of the method for calculating a zero-energy-consumption and zero-carbon building, the total system energy consumption parameter value includes a total system hourly load and/or a total system annual energy consumption, and correspondingly, the capacity parameter value includes a hourly capacity and/or an annual total energy consumption, and the determining the equipment configuration of the renewable energy system of the target building according to the total system energy consumption parameter value and the meteorological data includes:

determining the capacity form of the renewable energy system of the target building according to the meteorological data; and

determining the type and quantity of the system equipment of the renewable energy source according to the peak load of the total system and/or the total annual energy consumption and capacity form of the total system, wherein the hourly capacity of the renewable energy source system is larger than or equal to the hourly load of the total system, and/or the total annual energy consumption of the renewable energy source system is larger than or equal to the total annual energy consumption form of the total system

The invention also provides a zero-energy-consumption and zero-carbon computing system for the building energy, which comprises a passive parameter determining unit, an active system determining unit, a total system energy consumption computing unit and a renewable energy system determining unit. The passive parameter determining unit is used for determining dynamic design parameters and a target cold and heat load value according to meteorological data of the region where the target building is located, basic design parameters of the target building, target lighting requirements and internal and external heat source proportions; the basic design parameters comprise geometric parameters and material parameters of a target building, and the dynamic design parameters comprise target window-wall ratio, target orientation and thermal performance parameter values of a target enclosure structure; the active system determining unit is used for determining the equipment form which enables the energy consumption of each active system to be the lowest according to dynamic design parameters, target cold and hot load values, meteorological data, basic design parameters, target lighting requirements, pre-acquired target water consumption and function indexes of a target building, wherein the active systems at least comprise an air conditioning system, a lighting system, a water supply and drainage system, an elevator system and a socket power supply system; the total system energy consumption calculation unit is used for determining total system energy consumption parameter values of the target building according to the dynamic design parameters, the meteorological data, the basic design parameters and the equipment forms of the active systems; the renewable energy system determining unit is used for determining the equipment form of the renewable energy system of the target building according to the total system energy consumption parameter value and the meteorological data, wherein the capacity parameter value of the renewable energy system is larger than or equal to the total system energy consumption parameter value.

Drawings

The following drawings are only schematic illustrations and explanations of the present invention, and do not limit the scope of the present invention.

FIG. 1 is a flow chart of the steps of one illustrative embodiment of a method of computing a zero energy zero carbon building.

FIG. 2 is a flow chart over a portion of the steps of a method of computing a zero energy zero carbon building.

FIG. 3 is a flow chart over a portion of the steps of a method of computing a zero energy zero carbon building.

FIG. 4 is a flow chart over a portion of the steps of a method of computing a zero energy zero carbon building.

FIG. 5 is a flow chart of another illustrative embodiment of a method of computing a zero energy zero carbon building.

FIG. 6 is a block diagram of one exemplary embodiment of a computing system for a zero energy zero carbon building energy source.

Description of the reference symbols

10 passive parameter determination unit

20 active system determination unit

30 total system energy consumption calculating unit

40 a renewable energy system determination unit.

Detailed Description

In order to more clearly understand the technical features, objects and effects of the present invention, embodiments of the present invention will now be described with reference to the accompanying drawings, in which the same reference numerals indicate the same or structurally similar but functionally identical elements.

"exemplary" means "serving as an example, instance, or illustration" herein, and any illustration, embodiment, or steps described as "exemplary" herein should not be construed as a preferred or advantageous alternative.

FIG. 1 is a flow diagram of one illustrative embodiment of a method of computing a zero energy zero carbon building. Referring to fig. 1, a method for calculating a zero-energy-consumption and zero-carbon building is characterized by comprising the following steps:

step S10: and determining dynamic design parameters and a target cold and heat load value according to meteorological data of the region where the target building is located, basic design parameters of the target building, target lighting requirements and internal and external heat source proportions. The basic design parameters comprise geometric parameters and material parameters of a target building, and the dynamic design parameters comprise target window-wall ratio, target orientation and thermal performance parameter values of a target enclosure structure.

In an exemplary embodiment, the meteorological data of the area where the target building is located may include lighting conditions, horizontal radiation data, air temperature data, wind direction data, etc. of the area where the target building is located, which may be directly measured from a meteorological measuring instrument, such as a lighting sensor, an irradiator, a temperature measuring instrument, a wind direction instrument, or may be read from a meteorological server of a third party. The basic design parameters of the target building comprise geometric parameters and material parameters of the target building which are determined in advance according to user requirements or room function requirements. The target lighting requirement includes, but is not limited to, lighting coefficient, illuminance, average day lighting hours, and the like, and the specific value in the target lighting requirement may be an individualized lighting requirement value recorded in advance according to a user requirement, or may also be a standard value determined according to a national architectural lighting design standard document. The ratio of the internal heat source to the external heat source of the target building is the ratio of the heat of the indoor heat source to the heat of the outdoor heat source of the target building, the heat of the indoor heat source can be determined in advance according to the expected number of people using the target building and the heat generated by expected equipment, and the heat of the outdoor heat source can be determined according to meteorological data of the area where the target building is located.

And determining dynamic design parameters and target cold and heat load values of the target building according to the pre-acquired meteorological data of the region where the target building is located, the basic design parameters of the target building, the target lighting requirement and the internal and external heat source proportion. The dynamic design parameters of the target building are inherent building parameters of the target building, including a target window-wall ratio, a target orientation (i.e. the building orientation of the target building) and thermal performance parameter values of the target enclosure structure. And the target cold and hot load value is the energy consumption required by the target building to maintain the preset comfortable temperature after the dynamic design parameters are determined. Specifically, the target cold and hot load value may include a year-round maximum cold and hot load value, which is a maximum value among the energy consumptions respectively required to maintain the preset comfortable temperature for each hour of the target building in a statistical year, and/or a year-round cumulative cold and hot load value, which is a total energy consumption required to maintain the preset comfortable temperature for 8760 hours in a year. Specifically, the cold and hot load value in the embodiment of the present application includes a cold load value and/or a hot load value, the cold load value indicates energy consumption required for cooling, the hot load value indicates energy consumption required for heating, and energy consumption units of the cold load value and the hot load value may be unified into a unit of primary energy. For example, the target cold-heat load value specifically includes a target cold load value and/or a target heat load value, and the annual maximum cold-heat load value includes an annual maximum cold load value and/or an annual maximum heat load value. Specifically, the data are input by means of building simulation software to perform modeling simulation calculation, dynamic design parameters which can meet the target lighting requirement and enable the energy consumption of the target building to be the lowest are determined, and corresponding target cold and heat load values are determined.

In an exemplary embodiment, referring to fig. 2, step S10 specifically includes:

step S110: and simulating and calculating lighting result information of the target building according to first weather data of the region where the target building is located, basic design parameters of the target building, a preset window-wall ratio and a lighting calculation model, adjusting the window-wall ratio according to a comparison result of the lighting result information and target lighting requirements and the ratio of internal and external heat sources of the target building, and determining the target window-wall ratio which meets the target lighting requirements and enables the energy consumption of the target building to be the lowest, wherein the first weather data comprises the lighting condition of the region where the target building is located.

In step S110, the first weather data of the target area, the basic design parameter, and the preset window-wall ratio are input into the lighting calculation model for simulation calculation, so as to obtain lighting result information of the target building, and the window-wall ratio is adjusted until the lighting result information meets the target lighting requirement and the energy consumption of the target building is the lowest, so as to determine the corresponding window-wall ratio at this time as the target window-wall ratio. The first weather data specifically includes the illumination condition of the area where the target building is located, and specifically may include the hourly illumination condition, the total cloudy day critical illumination, and the like of the area where the target building is located. Specifically, step S110 includes:

step S111: inputting a first weather parameter of a target area, a basic design parameter of a target building, preset calculation parameters (such as a specific calculation formula method, a calculation unit size and the like) and a preset window-wall ratio into a lighting calculation model, and simulating and calculating lighting result information of the target building, wherein the lighting result information can comprise a lighting coefficient result, an illumination result and a day-average lighting hour number result which correspond to each unit area of the target building respectively.

Step S112: and (4) comparing the lighting result information in the step (S111) with the lighting coefficient, the illumination, the average day lighting hour number and the like set in the target lighting requirement, and determining the area proportion of the lighting result information in the current target building meeting the target lighting requirement. If the area ratio is equal to a preset area ratio (for example, 60%, which represents that the lighting condition of the target building with 60% of the area under the setting of the current window-wall ratio meets the target lighting requirement), determining the current window-wall ratio as the minimum window-wall ratio meeting the target lighting requirement, and executing step S114, otherwise executing step S113.

Step S113: if the area ratio of the lighting result information in the current target building, which meets the target lighting requirement, determined in step S112 is smaller than the preset area ratio, the window-wall ratio is increased by the preset step value to obtain an updated window-wall ratio, and the process returns to step S111. If the area ratio of the lighting result information in the current target building, which meets the target lighting requirement, determined in step S112 is greater than the preset area ratio, the window-wall ratio is decreased by the preset step value to obtain an updated window-wall ratio, and the process returns to step S111. And

step S114: and comparing the ratio of the internal heat source to the external heat source of the target building with the ratio threshold of the internal heat source to the external heat source, and when the ratio of the internal heat source to the external heat source of the target building is smaller than the ratio threshold of the internal heat source to the external heat source, judging that the increase of the window-wall ratio can increase the energy consumption of the target building, and directly taking the minimum window-wall ratio determined in the step S113 as the target window-wall ratio. Otherwise, judging that the window-wall ratio is insensitive to the energy consumption influence of the building, increasing the window-wall ratio in the lighting calculation model for simulation calculation on the basis of the minimum window-wall ratio in the step S112 until the area ratio of lighting result information meeting the target lighting requirement in the target building is maximum, and obtaining the target window-wall ratio.

In the exemplary embodiment, the window-wall ratio is adjusted according to the influence degree of the window-wall ratio on the energy consumption of the building and the lighting requirement, and the window-wall ratio which maximally meets the lighting requirement is determined on the premise of reducing the energy consumption of the building as much as possible, so that the target building can better meet the lighting requirement and realize energy conservation.

Step S120: and simulating and calculating the summer radiation quantity and the winter radiation quantity of the target building according to the second meteorological data, the basic design parameters and the solar radiation calculation model of the region where the target building is located, and determining the orientation with the minimum summer radiation quantity and the maximum winter radiation quantity as the target orientation, wherein the second meteorological data comprises horizontal radiation data or radiation data of each orientation of the region where the target building is located.

In step S120, the second meteorological data specifically refers to horizontal radiation data of the region of the target building all the year around, the second meteorological data and the basic design parameters of the target building are input into the solar radiation calculation model for simulation calculation, so as to obtain summer radiation amount and winter radiation amount corresponding to each angle orientation of the target building, and determine the corresponding angle orientation as the target orientation of the target building when the summer radiation amount is the minimum and the winter radiation amount is the maximum. Or the second meteorological data specifically refers to all orientation radiation data of the whole year of the region where the target building is located, at this time, the radiation quantity corresponding to each angle orientation does not need to be simulated and calculated, the simulation calculation of the whole year is directly carried out according to all orientation radiation data, and the orientation with the minimum summer radiation quantity and the maximum winter radiation quantity can be obtained and is the target orientation of the target building.

In an exemplary embodiment, since the orientation of the building which can minimize the radiation in summer and maximize the radiation in winter is determined according to the horizontal radiation data of the area where the target building is located and the solar radiation calculation model, the target building can have the effect of being warm in winter and cool in summer, so that the energy consumption required by the active system to adjust the temperature of the target building is reduced, and the target building is more energy-saving.

Step S130: and calculating a cold and hot load value of the target building according to the target window-wall ratio, the target orientation, the basic design parameters, the pre-acquired thermal performance parameter values of the enclosure structure and the energy consumption calculation model, adjusting the thermal performance parameter values of the enclosure structure in the energy consumption calculation model, determining the thermal performance parameter value of the enclosure structure corresponding to the minimum cold and hot load value as the thermal performance parameter value of the target enclosure structure, and determining the minimum cold and hot load value as the target cold and hot load value.

In step S130, the target window-wall ratio determined in step S110, the target orientation determined in step S120, the predetermined basic design parameter and the enclosure thermal performance parameter value obtained in advance are input into the energy consumption calculation model, the cold and hot load value of the target building is calculated, the enclosure thermal performance parameter in the energy consumption calculation model is adjusted, the enclosure thermal performance parameter value with the minimum calculated cold and hot load value is obtained as the target enclosure thermal performance parameter value, and the cold and hot load value at this time is determined as the target cold and hot load value. Specifically, the envelope thermal performance parameters of the transparent envelope comprise a heat gain coefficient and a heat transfer coefficient, and the envelope thermal performance parameters of the non-transparent envelope comprise a heat transfer coefficient.

Specifically, referring to fig. 3, step S130 includes:

step S131: and calculating the cold and heat load value of the target building according to the target window-wall ratio, the target orientation, the basic design parameters, the pre-acquired thermal performance parameter values of the enclosure structure and the energy consumption calculation model, wherein the cold and heat load value comprises the annual maximum cold and heat load value and the annual accumulated cold and heat load value.

In step S131, the determined target window-wall ratio, target orientation, and basic design parameters and the thermal performance parameter values of the enclosure structure obtained in advance according to the energy saving standard are input into the energy consumption calculation model, and the cold and heat load value of the target building is calculated, where the cold and heat load value includes a annual maximum cold and heat load value and an annual cumulative cold and heat load value, and a curve with an abscissa of 8760 hours a year and an ordinate of the cold and heat load value corresponding to each hour is obtained according to a simulation calculation, and the annual maximum cold and heat load value is obtained according to a peak value of the curve, and the annual cumulative cold and heat load value is obtained according to an area under the curve.

Step S132: and setting precooling time in the energy consumption calculation model, and determining precooling time corresponding to the lowest annual maximum cold-heat load value and the increased annual accumulated cold-heat load value smaller than a preset threshold as the optimal precooling time.

In step S132, the energy consumption calculation model in step S131 adds the pre-cooling time, increases the pre-cooling time by an hour unit, and calculates the thermal load value to obtain the annual maximum thermal load value and the annual cumulative thermal load value corresponding to the pre-cooling time, and finally determines that the corresponding pre-cooling time is the optimal pre-cooling time when the annual cumulative thermal load value is the lowest in the process of increasing the pre-cooling time and the annual cumulative thermal load value is smaller than the preset threshold value relative to the added value before adding the pre-cooling time. The method has the advantages that the subsequent air conditioning system equipment can be more economically and energy-saving selected by reducing the annual maximum cold and heat load value by additionally arranging the precooling time, meanwhile, the starting time of the air conditioning equipment can be prolonged by increasing the precooling time, so that the annual accumulated cold and heat load value increased by additionally arranging the precooling time is smaller than the preset threshold value by constraining, the energy consumption control after the precooling time is additionally arranged can not be increased too much, and the energy consumption of a target building is more economically and environmentally friendly.

Step S133: and adjusting the thermal performance parameter value of the enclosure structure of the energy consumption calculation model, and determining the thermal performance parameter value of the enclosure structure corresponding to the lowest annual accumulated cold and hot load value as the thermal performance parameter value of the target enclosure structure.

In step S133, the thermal performance parameter values of the building envelope specifically include a heat gain coefficient value and a heat transfer coefficient value of the transparent building envelope, and a heat transfer coefficient value of the non-transparent building envelope. When the thermal performance parameter value of the enclosure structure of the energy consumption calculation model is adjusted, one of the heat gain coefficient value of the transparent enclosure structure, the heat transfer coefficient value of the transparent enclosure structure and the heat transfer coefficient value of the non-transparent enclosure structure can be used as a variable in sequence, the value of the variable is adjusted downwards according to a preset proportion (for example, 5% and 10%), a corresponding annual accumulated cold and heat load value is calculated after each adjustment, the variable value corresponding to the lowest annual accumulated cold and heat load value in the downward adjustment process is finally determined to be the optimal value of the variable, and the target enclosure structure thermal performance parameter value capable of enabling the annual accumulated cold and heat load value to be the lowest is finally determined according to the method.

Step S134: and setting the precooling time of the energy consumption calculation model as the optimal precooling time, setting the thermal performance parameter value of the envelope structure of the energy consumption calculation model as the thermal performance parameter value of the target envelope structure, and calculating the corresponding target cold and heat load value.

In step S134, the precooling time of the energy consumption calculation model is set to the optimal precooling time determined in step S132, the thermal performance parameter value of the envelope of the energy consumption calculation model is set to the thermal performance parameter value of the target envelope determined in step S133, and the cold-heat load value at this time is calculated in a simulation manner, i.e., the target cold-heat load value.

In an exemplary embodiment, the heat transfer coefficient and the heat gain coefficient of the transparent enclosure structure and the heat transfer coefficient of the non-transparent enclosure structure are respectively adjusted according to the influence of the enclosure thermal performance parameters on the cold and heat load values, so that the enclosure thermal performance parameter value which can minimize the annual accumulated cold and heat load values is determined as the target enclosure thermal performance parameter value, the energy consumption required by the cooling and/or heating of the target building can be reduced, and the target building is more energy-saving and environment-friendly. In addition, the optimal precooling time capable of effectively reducing the annual accumulated cold and heat load value is determined through the energy consumption model, so that a precooling strategy is added for the target building, and the energy consumption of the target building is further reduced.

Step S20: and determining the equipment form which enables the energy consumption of each active system to be the lowest according to the dynamic design parameters, the target cold and hot load value, the meteorological data, the basic design parameters and the target lighting requirements, as well as the pre-acquired target water consumption and the function indexes of the target building, wherein the active systems at least comprise an air conditioning system, a lighting system, a water supply and drainage system, an elevator system and a socket power supply system.

Inputting the dynamic design parameters, the target cold and hot load values, the predetermined meteorological data, the basic design parameters, the target lighting requirements, the predetermined target water consumption and the like of the target building determined in the step S10 into an energy consumption calculation model, simulating and calculating the annual energy consumption curve of each active system through the energy consumption calculation model, and determining the lowest annual energy consumption curve by adjusting the equipment shape of the active system, wherein the lowest annual energy consumption curve corresponds to the lowest energy consumption curve, so that the equipment shape of each active system with the lowest energy consumption is obtained. The active systems in the embodiment of the present application at least include an air conditioning system, a lighting system, a water supply and drainage system, an elevator system and a socket power supply system, and other types of active systems can be specifically added according to the functions of a target building. In the embodiment of the present application, the abscissa of the annual energy consumption curve is time, the unit may specifically be hour, and the ordinate is energy consumption (specifically, electric energy).

Specifically, referring to fig. 4, step S20 includes:

step S210: and determining a plurality of air conditioning system devices to be selected according to the target cold and hot load value. And adjusting air conditioning system parameters in the energy consumption calculation model according to the air conditioning system equipment to be selected, performing simulation calculation to obtain an energy consumption curve of the air conditioning system corresponding to each air conditioning system equipment to be selected, comparing the energy consumption curves, and determining the air conditioning system equipment to be selected with the lowest energy consumption as the air conditioning system equipment.

In step S210, according to the target cold and hot load value, the air conditioning device with the power size meeting the target cold and hot load value is determined from the air conditioning system device information base as the candidate air conditioning system device. And then, adjusting the air conditioning system parameters in the energy consumption calculation model respectively according to the parameters of each air conditioning system device to be selected in sequence, and performing simulation calculation to obtain an energy consumption curve of the air conditioning system corresponding to each air conditioning system device to be selected, for example, if the selected air conditioning system devices to be selected are 4, performing air conditioning system parameter adjustment on the energy consumption calculation model for 4 times respectively to obtain 4 corresponding energy consumption curves of the air conditioning system. And then obtaining the energy consumption condition of each air conditioning system device to be selected according to each air conditioning system energy consumption curve, comparing the energy consumption conditions, and determining the air conditioning system device to be selected with the lowest energy consumption as the air conditioning system device.

Step S220: and determining a plurality of types of water supply and drainage equipment to be selected according to the pre-acquired target water consumption. And adjusting parameters of the water supply and drainage system in the energy consumption calculation model according to the water supply and drainage equipment to be selected, obtaining energy consumption curves of the water supply and drainage system corresponding to each air conditioning system equipment to be selected through simulation calculation, comparing the energy consumption curves, and determining the water supply and drainage equipment with the lowest energy consumption as the equipment of the water supply and drainage system.

In step S220, the required water supply and drainage power is determined according to the target water consumption obtained in advance, and several types of water supply and drainage equipment to be selected which meet the required water supply and drainage power are determined from the water supply and drainage equipment information base. And then, adjusting parameters of the water supply and drainage system in the energy consumption calculation model respectively according to the parameters of each type of water supply and drainage equipment to be selected in sequence, and performing simulation calculation to obtain an energy consumption curve of the water supply and drainage system corresponding to each type of water supply and drainage system equipment to be selected, for example, if the selected water supply and drainage system equipment to be selected is 3, performing 3 times of parameter adjustment of the water supply and drainage system on the energy consumption calculation model respectively to obtain 3 corresponding energy consumption curves of the water supply and drainage system. And then obtaining the energy consumption condition of each to-be-selected water supply and drainage system device according to each water supply and drainage system energy consumption curve, comparing the energy consumption conditions, and determining the to-be-selected water supply and drainage system device with the lowest energy consumption as the water supply and drainage system device.

Step S230: and performing simulation calculation according to the dynamic design parameters, the meteorological data, the basic design parameters and the target lighting requirements, determining active lighting time and a preset number of target lighting lamps, using the preset number of target lighting lamps as equipment of the lighting system, and determining a lighting control strategy of the lighting system according to the active lighting time.

In step S230, a lighting model is used to perform simulation calculation according to the determined dynamic design parameters, weather data, basic design parameters and target lighting requirements, and determine lighting time and illumination of the target building, so as to determine active lighting time and a preset number of target lighting fixtures to meet the lighting requirements, where the target lighting fixtures are the ones with the lowest energy consumption determined according to the energy consumption curve. And determining a lighting control strategy of the lighting system by taking the preset number of target lighting fixtures as equipment of the lighting system according to the active lighting time, wherein the lighting control strategy comprises the active light-on and light-off time of the lighting system.

Step S240: and determining equipment of the socket power supply system and the elevator system according to the target building function index.

In step S240, a target number of devices of the outlet power supply system are determined according to the functional index requirement of the target building, and an optimal device configuration that minimizes the energy consumption of the outlet power supply system is selected according to the energy consumption curve. And the elevator system also selects energy-saving elevator system equipment with low energy consumption.

In the embodiment of the application, the equipment form of each active system with the lowest energy consumption on the premise of meeting the use requirement can be determined according to the target cold and heat load value, the meteorological data, the target lighting requirement, the target water consumption and the functional index of the target building in combination with the annual energy consumption curve of each active system, so that the energy consumption of the target building can be reasonably and accurately reduced.

Step S30: and determining the total system energy consumption parameter value of the target building according to the dynamic design parameters, the meteorological data, the basic design parameters and the equipment forms of all the active systems.

Inputting the pre-determined meteorological data, the basic design parameters, the dynamic design parameters determined in the step S10 and the equipment forms of the active systems determined in the step S30 into an energy consumption calculation model, simulating and calculating a total annual energy consumption curve of the target building, and determining total system energy consumption parameter values of the target building according to the total annual energy consumption curve. The abscissa of the annual total energy consumption curve is time in hours. The ordinate is the energy consumption value, representing the energy consumption per hour. The longitudinal coordinate value of the annual total energy consumption curve is equal to the accumulation of the longitudinal coordinate values of all active system curves, and the annual total energy consumption curve represents the energy consumption condition of a total system consisting of all active systems. And determining the total system energy consumption parameter value of the target building according to the annual total energy consumption curve.

Step S40: and determining the equipment form of the renewable energy system of the target building according to the total system energy consumption parameter value and the meteorological data, wherein the capacity parameter value of the renewable energy system is greater than or equal to the total system energy consumption parameter value.

Optionally, in step S30, the total system energy consumption parameter value includes a total system hourly load and/or a total system annual energy consumption, and correspondingly, the capacity parameter value includes a hourly capacity and/or an annual total energy consumption, and step S40 includes:

step S410: and determining the capacity form of the renewable energy system of the target building according to the meteorological data.

Step S420: determining the type and quantity of the system equipment of the renewable energy source according to the peak load of the total system and/or the annual total energy and capacity form of the total system, wherein the peak capacity of the renewable energy source system is larger than or equal to the peak load of the total system, and/or the annual total energy of the renewable energy source system is larger than or equal to the annual total energy of the total system.

In this embodiment, the total system energy consumption parameter values in step S30 include a total system hourly load and/or a total system annual energy consumption, the total system hourly load is an accumulated hourly energy consumption value of the active systems used by the target building, and the total system annual energy consumption is an accumulated energy consumption of 8760 hours a year. Specifically, the ordinate value of the annual total energy consumption curve in step S30 is used as the time-by-time load of the total system and/or the area under the annual total energy consumption curve is used as the annual total energy consumption of the total system, and the total system energy consumption parameter value of the target building is determined.

Specifically, in step S40, a capacity form of the target building is determined according to the acquired meteorological data, specifically according to the acquired lighting conditions, wind direction data, geographical environment, and the like of the area where the target building is located, where the capacity form may include any one or more of renewable energy forms such as wind energy, solar energy, tidal energy, nuclear energy, biomass energy, and the like. And then, according to the total system hourly load and/or the total system annual energy consumption and the capacity form, determining the system equipment type and the number of renewable energy sources corresponding to the capacity form and meeting the capacity requirement, so that the hourly capacity of the renewable energy source system is larger than or equal to the total system hourly load, and/or the total annual energy consumption of the renewable energy source system is larger than or equal to the total system annual energy consumption. Specifically, the annual energy production curve of the renewable energy system may be calculated in a simulation manner, and the renewable energy system device capable of making the annual energy production curve higher than the annual total energy usage curve in step S30 may be determined.

In the embodiment of the application, the capacity form of the corresponding renewable energy system is determined according to the meteorological data of the region where the target building is located, and the model and the number of the corresponding renewable energy system are determined according to the total system energy consumption parameter value, so that zero energy consumption and zero carbon of the target building can be accurately realized according to local conditions.

In the embodiment of the application, firstly, according to the meteorological data, the target lighting requirement, the proportion of internal and external heat sources and other data of the target building, the dynamic design parameters meeting the target lighting requirement can be accurately determined, and the energy consumption of the building is reduced as much as possible in the passive design process. Secondly, in the design of the active systems, the equipment form which meets the requirements and enables the energy consumption of each active system to be the lowest can be determined according to actual dynamic design parameters, target cold and hot load values, meteorological data, target water consumption, target lighting requirements and other data, and the energy consumption of the building is further reduced as much as possible in the active design process. And then, accurately determining a total system energy consumption parameter value of the target building through a target energy consumption calculation model according to the determined dynamic design parameters, the equipment forms of each active system, the meteorological data and the basic design parameters of the target building and other data, and determining the renewable energy system according to the total system energy consumption parameter value, so that the capacity parameter value of the renewable energy system is greater than or equal to the total system energy consumption parameter value, the target building can realize self-production and self-utilization of energy consumption, and the zero energy consumption and zero carbon of the target building are accurately realized.

FIG. 5 is a flow chart of another illustrative embodiment of a method of computing a zero energy zero carbon building. Steps S10 to S40 in fig. 5 are similar to the calculation method shown in fig. 1, and therefore are not repeated herein, and the difference is that the calculation method further includes:

step S50: and generating a construction requirement report to indicate the construction of the target building according to the dynamic design parameters, the equipment forms of the active systems and the equipment forms of the renewable energy system.

And outputting the dynamic design parameters determined in the step S10, the equipment forms of the active systems determined in the step S20 and the equipment forms of the renewable energy systems determined in the step S40 to generate a construction requirement report so as to indicate the construction completion of the target building. Optionally, after the construction requirement report is generated, the construction requirement report may be sent to a designated device, so that the target person or the target automatic construction device obtains the construction requirement information.

S610: and acquiring the equipment form of the actually selectable active system in the construction process, returning to execute the steps of simulating and calculating the annual energy consumption curve of each active system according to the dynamic design parameters, the target cold and heat load value, the meteorological data, the basic design parameters, the target lighting requirements, the pre-acquired target water consumption and the function indexes of the target building, determining the equipment form which enables the energy consumption of each active system to be the lowest, and re-determining the equipment form of each active system and the equipment form of the renewable energy system.

In step S610, the originally determined equipment configuration of the active system may not be purchased and configured for specific reasons during the construction process, at this time, the actually selectable equipment configuration of the active system input by the target person may be received, the equipment information base of each active system is updated, the step S202 is returned to re-determine the equipment configuration of the active system, and the step S203 and the step S204 are continuously performed to re-determine the equipment configuration of the renewable energy system.

Step S620: monitoring lighting time and air temperature data of the target building during actual operation after construction is built, adjusting meteorological data of an energy consumption calculation model, calculating actual energy consumption of each active system, and adjusting precooling time and an illumination control strategy.

In step S620, after the target building construction is completed, the lighting time and the air temperature data of the target building during actual operation are monitored by the measuring device, the meteorological data of the energy consumption calculation model is updated, and the actual energy consumption of each active system is calculated for subsequent analysis and adjustment of the active system devices or the renewable energy devices. And adjusting the illumination control strategy according to the lighting time, and simulating and calculating the optimal precooling time again according to the air temperature data so as to reduce the energy consumption of the target building.

In the exemplary embodiment, after the dynamic design parameters, the device forms of the active systems, and the device forms of the renewable energy systems are determined, the construction requirement report is automatically generated without manually recording the data information, so that the construction of the target building can be conveniently and effectively guided. In addition, in the actual construction process or after construction is completed, the equipment form, the illumination control strategy, the precooling time and the like of each active system or renewable energy system are adjusted by acquiring the actual equipment optional conditions, meteorological conditions and the like, so that the target building is further ensured to stably realize zero energy consumption and zero carbon.

The invention also provides a computing system of the zero-energy-consumption and zero-carbon building energy. Referring to fig. 6, the computing system includes a passive parameter determination unit 10, an active system determination unit 20, a total system energy consumption calculation unit 30, and a renewable energy system determination unit 40.

The passive parameter determining unit 10 is configured to determine a dynamic design parameter and a target cold and heat load value according to meteorological data of an area where the target building is located, a basic design parameter of the target building, a target lighting requirement, and an internal and external heat source ratio. The basic design parameters comprise geometric parameters and material parameters of a target building, and the dynamic design parameters comprise target window-wall ratio, target orientation and thermal performance parameter values of a target enclosure structure.

In an exemplary embodiment, the passive parameter determination unit 10 comprises a target window-wall ratio determination unit, a target orientation determination unit and a target envelope thermal performance parameter value determination unit. The target window-wall ratio determining unit is used for simulating and calculating lighting result information of the target building according to first weather data of the region where the target building is located, basic design parameters of the target building, preset window-wall ratios and a lighting calculation model, adjusting the window-wall ratios according to a comparison result of the lighting result information and target lighting requirements and the proportion of internal and external heat sources of the target building, and determining the target window-wall ratio which meets the target lighting requirements and enables the energy consumption of the target building to be lowest, wherein the first weather data comprises the lighting condition of the region where the target building is located. The target orientation determining unit is used for simulating and calculating the summer radiation quantity and the winter radiation quantity of the target building according to the second meteorological data, the basic design parameters and the solar radiation calculation model of the region where the target building is located, and determining the orientation with the minimum summer radiation quantity and the maximum winter radiation quantity as the target orientation, wherein the second meteorological data comprises horizontal radiation data or radiation data of each orientation of the region where the target building is located. The target enclosure structure thermal performance parameter value determining unit is used for calculating a cold and heat load value of a target building according to the target window-wall ratio, the target orientation, the basic design parameters, the pre-acquired enclosure structure thermal performance parameter values and the energy consumption calculation model, adjusting the size of the enclosure structure thermal performance parameter values in the energy consumption calculation model, determining the enclosure structure thermal performance parameter value corresponding to the minimum cold and heat load value as the target enclosure structure thermal performance parameter value, and determining the minimum cold and heat load value as the target cold and heat load value.

The target envelope thermal performance parameter value determining unit is specifically used for calculating a cold and heat load value of a target building according to a target window-wall ratio, a target orientation, a basic design parameter, a pre-acquired envelope thermal performance parameter value and an energy consumption calculation model, wherein the cold and heat load value comprises a annual maximum cold and heat load value and an annual accumulated cold and heat load value. And setting precooling time in the energy consumption calculation model, and determining precooling time corresponding to the lowest annual maximum cold-heat load value and the increased annual accumulated cold-heat load value smaller than a preset threshold as the optimal precooling time. And adjusting the thermal performance parameter value of the enclosure structure of the energy consumption calculation model, and determining the thermal performance parameter value of the enclosure structure corresponding to the lowest annual accumulated cold and hot load value as the thermal performance parameter value of the target enclosure structure. Setting the precooling time of the energy consumption calculation model as the optimal precooling time, setting the thermal performance parameter value of the envelope structure of the energy consumption calculation model as the thermal performance parameter value of the target envelope structure, and calculating the corresponding target cold and hot load value

The active system determination unit 20 is configured to determine an equipment configuration that minimizes energy consumption of each active system according to the dynamic design parameters, the target cold and heat load value, the meteorological data, the basic design parameters, the target lighting requirement, the pre-obtained target water consumption, and the function index of the target building, where the active systems at least include an air conditioning system, a lighting system, a water supply and drainage system, an elevator system, and a socket power supply system.

Alternatively, the active system determination unit 20 includes an air conditioning system determination unit, a water supply and drainage system determination unit, a lighting system determination unit, and a socket power supply system determination unit: the air conditioning system determining unit determines a plurality of air conditioning system devices to be selected according to the target cold and hot load value. And adjusting air conditioning system parameters in the energy consumption calculation model according to the air conditioning system equipment to be selected, performing simulation calculation to obtain an energy consumption curve of the air conditioning system corresponding to each air conditioning system equipment to be selected, comparing the energy consumption curves, and determining the air conditioning system equipment to be selected with the lowest energy consumption as the air conditioning system equipment. The water supply and drainage system determination unit determines a plurality of types of water supply and drainage equipment to be selected according to the target water consumption acquired in advance. And adjusting parameters of the water supply and drainage system in the energy consumption calculation model according to the water supply and drainage equipment to be selected, obtaining energy consumption curves of the water supply and drainage system corresponding to each air conditioning system equipment to be selected through simulation calculation, comparing the energy consumption curves, and determining the water supply and drainage equipment with the lowest energy consumption as the equipment of the water supply and drainage system. The lighting system determination unit performs simulation calculation according to the dynamic design parameters, the meteorological data, the basic design parameters and the target lighting requirements, determines active lighting time and a preset number of target lighting lamps, uses the preset number of target lighting lamps as the equipment of the lighting system and determines a lighting control strategy of the lighting system according to the active lighting time. And the socket power supply system and elevator system determining unit is used for determining equipment of the socket power supply system and the elevator system according to the function index of the target building.

The total system energy consumption calculation unit 30 is configured to determine a total system energy consumption parameter value of the target building according to the dynamic design parameter, the meteorological data, the basic design parameter, and the device configuration of each active system.

The renewable energy system determining unit 40 is configured to determine the device configuration of the renewable energy system of the target building according to the total system energy consumption parameter value and the meteorological data, wherein the capacity parameter value of the renewable energy system is greater than or equal to the total system energy consumption parameter value.

In an exemplary embodiment, the total system energy consumption parameter value includes a total system hourly load and/or a total system annual energy consumption, and correspondingly, the energy production parameter value includes a hourly energy production and/or an annual total energy production, and the renewable energy system determining unit 40 is specifically configured to determine the energy production form of the renewable energy system of the target building according to the meteorological data. And determining the type and the quantity of the system equipment of the renewable energy source according to the time-by-time load of the total system and/or the total annual energy consumption and capacity form of the total system, wherein the time-by-time capacity of the renewable energy source system is larger than or equal to the time-by-time load of the total system, and/or the total annual energy consumption of the renewable energy source system is larger than or equal to the total annual energy consumption of the total system.

The zero-energy-consumption and zero-carbon building design device also comprises a construction requirement report generation unit which is used for generating a construction requirement report to indicate the construction of the target building according to the dynamic design parameters, the equipment forms of the active systems and the equipment forms of the renewable energy systems.

The zero-energy-consumption and zero-carbon building design device also comprises a first adjusting unit, wherein the first adjusting unit is used for acquiring the equipment form of an actually selectable active system in the construction process, returning and executing the steps of simulating and calculating the annual energy consumption curve of each active system according to the dynamic design parameters, the target cold and heat load value, the meteorological data, the basic design parameters, the target lighting requirements, the pre-acquired target water consumption and the function indexes of the target building, determining the equipment form which enables the energy consumption of each active system to be the lowest, and re-determining the equipment form of each active system and the equipment form of the renewable energy system.

In an exemplary embodiment, the zero-energy-consumption and zero-carbon building design apparatus further includes a second adjusting unit, which is configured to monitor lighting time and air temperature data of the target building during actual operation after construction is completed, adjust meteorological data of the energy consumption calculation model, calculate actual energy consumption of each active system, and adjust precooling time and an illumination control strategy.

It should be understood that although the present description has been described in terms of various embodiments, not every embodiment includes only a single embodiment, and such description is for clarity purposes only, and those skilled in the art will recognize that the embodiments described herein may be combined as suitable to form other embodiments, as will be appreciated by those skilled in the art.

The above-listed detailed description is only a specific description of a possible embodiment of the present invention, and they are not intended to limit the scope of the present invention, and equivalent embodiments or modifications such as combinations, divisions or repetitions of features, which do not depart from the technical spirit of the present invention, should be included in the scope of the present invention.

Claims

1. The method for calculating the zero-energy-consumption and zero-carbon building is characterized by comprising the following steps of:

determining the equipment form which enables the energy consumption of each active system to be the lowest according to the dynamic design parameters, the target cold and hot load value, the meteorological data, the basic design parameters, the target lighting requirement, the pre-acquired target water consumption and the function index of a target building, wherein the active systems at least comprise an air conditioning system, a lighting system, a water supply and drainage system, an elevator system and a socket power supply system;

determining a total system energy consumption parameter value of the target building according to the dynamic design parameters, the meteorological data, the basic design parameters and the equipment forms of the active systems; and

and determining the equipment shape of the renewable energy system of the target building according to the total system energy consumption parameter value and the meteorological data, wherein the capacity parameter value of the renewable energy system is greater than or equal to the total system energy consumption parameter value.

2. The method for computing a zero energy consumption and zero carbon building as claimed in claim 1, characterized by the steps of: determining dynamic design parameters and a target cold and heat load value according to meteorological data of the area where the target building is located, basic design parameters of the target building, target lighting requirements and internal and external heat source proportions, wherein the dynamic design parameters comprise:

simulating and calculating lighting result information of the target building according to first weather data of the area where the target building is located, basic design parameters of the target building, a preset window-wall ratio and a lighting calculation model, adjusting the window-wall ratio according to a comparison result of the lighting result information and target lighting requirements and the proportion of internal and external heat sources of the target building, and determining the target window-wall ratio which meets the target lighting requirements and enables the energy consumption of the target building to be lowest, wherein the first weather data comprises the illumination condition of the area where the target building is located;

simulating and calculating the summer radiation quantity and the winter radiation quantity of the target building according to second meteorological data, the basic design parameters and a solar radiation calculation model of the region where the target building is located, and determining the orientation with the minimum summer radiation quantity and the maximum winter radiation quantity as the target orientation, wherein the second meteorological data comprises horizontal radiation data or radiation data of each orientation of the region where the target building is located; and

and calculating a cold and hot load value of a target building according to the target window-wall ratio, the target orientation, the basic design parameters, the pre-obtained envelope thermal performance parameter values and the energy consumption calculation model, adjusting the envelope thermal performance parameter values in the energy consumption calculation model, determining the envelope thermal performance parameter value corresponding to the minimum cold and hot load value as the target envelope thermal performance parameter value, and determining the minimum cold and hot load value as the target cold and hot load value.

3. The method for computing a zero energy consumption and zero carbon building of claim 2, characterized by the steps of: calculating a cold and hot load value of a target building according to the target window-wall ratio, the target orientation, the basic design parameters, the envelope thermal performance parameter values obtained in advance and an energy consumption calculation model, adjusting the envelope thermal performance parameter values in the energy consumption calculation model, determining the envelope thermal performance parameter value corresponding to the minimum cold and hot load value as the target envelope thermal performance parameter value, and determining the minimum cold and hot load value as the target cold and hot load value, wherein the method comprises the following steps:

calculating a cold and heat load value of the target building according to the target window-wall ratio, the target orientation, the basic design parameters, the pre-acquired thermal performance parameter values of the building envelope and an energy consumption calculation model, wherein the cold and heat load value comprises a annual maximum cold and heat load value and an annual accumulated cold and heat load value;

setting precooling time in the energy consumption calculation model, and determining precooling time corresponding to the annual maximum cold-heat load value which is the lowest and the increased annual accumulated cold-heat load value which is smaller than a preset threshold as the optimal precooling time; and

adjusting the thermal performance parameter value of the enclosure structure of the energy consumption calculation model, and determining the thermal performance parameter value of the enclosure structure corresponding to the lowest annual accumulated cold and hot load value as the thermal performance parameter value of the target enclosure structure;

4. The method for computing a zero energy consumption and zero carbon building as claimed in claim 3, characterized by the steps of: determining the equipment form which enables the energy consumption of each active system to be the lowest according to the dynamic design parameters, the target cold and heat load value, the meteorological data, the basic design parameters, the target lighting requirement, the pre-acquired target water consumption and the function index of the target building, and the equipment form comprises the following steps:

determining a plurality of air conditioning system devices to be selected according to the target cold and hot load value; adjusting air conditioning system parameters in the energy consumption calculation model according to the air conditioning system equipment to be selected, obtaining an energy consumption curve of the air conditioning system corresponding to each air conditioning system equipment to be selected through simulation calculation, comparing the energy consumption curves, and determining the air conditioning system equipment to be selected with the lowest energy consumption as the air conditioning system equipment;

determining a plurality of types of water supply and drainage equipment to be selected according to the pre-obtained target water consumption; adjusting parameters of the water supply and drainage system in the energy consumption calculation model according to the water supply and drainage equipment to be selected, obtaining an energy consumption curve of the water supply and drainage system corresponding to each type of air conditioning system equipment to be selected through simulation calculation, comparing the energy consumption curves, and determining the water supply and drainage equipment with the lowest energy consumption as the equipment of the water supply and drainage system;

performing simulation calculation according to the dynamic design parameters, the meteorological data, the basic design parameters and the target lighting requirements, determining active lighting time and a preset number of target lighting lamps, using the preset number of target lighting lamps as equipment of a lighting system, and determining a lighting control strategy of the lighting system according to the active lighting time; and

5. The method for computing a zero-energy-consumption and zero-carbon building as claimed in claim 4, wherein after determining the device configuration of the renewable energy system of the target building according to the total system energy consumption parameter value and the meteorological data, the method further comprises:

and generating a construction requirement report to indicate the construction of the target building according to the dynamic design parameters, the equipment forms of the active systems and the equipment forms of the renewable energy system.

6. The method for computing a zero energy consumption and zero carbon building of claim 5, characterized by the steps of: generating a construction requirement report to indicate the construction of the target building simultaneously or later according to the dynamic design parameters, the equipment forms of the active systems and the equipment forms of the renewable energy system, and further comprising:

acquiring the equipment form of an actually selectable active system in the construction process, returning to execute the step of determining the equipment form which enables the energy consumption of each active system to be the lowest according to the dynamic design parameters, the target cold and heat load value, the meteorological data, the basic design parameters, the target lighting requirement, the pre-acquired target water consumption and the function index of a target building, and re-determining the equipment form of each active system and the equipment form of a renewable energy system;

or after generating a construction requirement report to guide the construction of the target building according to the dynamic design parameters, the equipment forms of the active systems and the equipment forms of the renewable energy system, the method further comprises: and monitoring lighting time and air temperature data of the target building during actual operation after construction is built, adjusting meteorological data of the energy consumption calculation model, calculating actual energy consumption of each active system, and adjusting the precooling time and the lighting control strategy.

7. The method for calculating the zero-energy-consumption and zero-carbon building as claimed in claim 1, wherein the total system energy consumption parameter values include total system hourly load and/or total system annual energy consumption, correspondingly, the production energy parameter values include hourly capacity and/or total annual energy consumption, and the determining the equipment configuration of the renewable energy system of the target building according to the total system energy consumption parameter values and the meteorological data includes:

and determining the system equipment model and the quantity of the renewable energy sources according to the total system peak load and/or the total system annual energy consumption and the capacity form, wherein the hourly capacity of the renewable energy source system is greater than or equal to the total system hourly load, and/or the total annual energy consumption of the renewable energy source system is greater than or equal to the total system annual energy consumption.

8. A computing system for a zero energy and zero carbon building energy source, comprising:

a passive parameter determining unit (10) for determining dynamic design parameters and target cold and heat load values according to meteorological data of the region where the target building is located, basic design parameters of the target building, target lighting requirements and internal and external heat source proportions; the basic design parameters comprise geometric parameters and material parameters of a target building, and the dynamic design parameters comprise target window-wall ratio, target orientation and thermal performance parameter values of a target enclosure structure;

an active system determination unit (20) for determining the equipment configuration which minimizes the energy consumption of each active system according to the dynamic design parameters, the target cold and hot load value, the meteorological data, the basic design parameters, the target lighting requirement, and the pre-acquired target water consumption and the function index of the target building, wherein the active systems at least comprise an air conditioning system, a lighting system, a water supply and drainage system, an elevator system and a socket power supply system;

a total system energy consumption calculation unit (30) for determining a total system energy consumption parameter value for said target building based on said dynamic design parameters, said meteorological data, said base design parameters, and equipment configuration of said respective active systems; and

and the renewable energy system determining unit (40) is used for determining the equipment shape of the renewable energy system of the target building according to the total system energy consumption parameter value and the meteorological data, wherein the capacity parameter value of the renewable energy system is greater than or equal to the total system energy consumption parameter value.