CN114417608A - Method for predicting energy consumption of passive residential building based on future climate change - Google Patents
Method for predicting energy consumption of passive residential building based on future climate change Download PDFInfo
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Abstract
The invention discloses a method for predicting energy consumption of a passive residential building based on future climate change, belonging to the technical field of passive residential energy consumption simulation prediction and comprising the following steps: 1. generating a future weather meteorological file through the downscaling of typical meteorological data; 2. constructing a passive residential building three-dimensional model according to peripheral structure parameters and indoor thermal disturbance parameters of a specific building; 3. and importing the generated future climate weather file and the created passive residential building three-dimensional model into Opensudio, and simulating and predicting the energy consumption condition of the passive residential building under the future climate change. The invention can estimate the energy consumption condition of the passive residential building under the future climate change, and can predict whether the energy consumption change condition of the passive residential building meets the relevant design standard under the future climate change, thereby correspondingly improving the relevant influence factor parameters.
Description
Technical Field
The invention belongs to the technical field of passive residential energy consumption simulation prediction, and relates to a method for predicting passive residential building energy consumption based on future climate change.
Background
At present, China is in the rapid development stage of urbanization, and the energy consumption of the generated building is far beyond the energy consumption of industry and traffic. For the construction industry, green development has become a new construction direction for solving the problems of energy consumption and environment in the 21 st century. The residential building serving as the urban rapid development bearing body reduces energy consumption and increases the energy utilization rate; the passive residential building has the advantages of more energy conservation, more comfortable living environment and the like, and plays a great role in leading and promoting the development of national green building career. However, under the climate change, the energy consumption prediction of the passive building is fluctuating, so a method for predicting the energy consumption of the passive residential building based on the future climate change needs to be provided to solve the problem of predicting the energy consumption of the passive residential building under the future climate change.
Disclosure of Invention
The purpose of the invention is as follows: the invention aims to provide a method for predicting the energy consumption of a passive residential building based on future climate change, and solves the problem that the current energy consumption simulation result is not suitable for building energy consumption simulation in the future climate caused by the climate change.
The technical scheme is as follows: the invention relates to a method for predicting energy consumption of a passive residential building based on future climate change, which comprises the following specific operation steps:
(1) predicting future 2050s and 2080s climate data by using a Morphing method according to typical weather year data (TMY) published by NASA;
(2) after the climate conditions in the step 1 are set, constructing a passive residential building three-dimensional model according to peripheral structure parameters and indoor thermal disturbance parameters of a specific building (an existing urban passive residential building);
(3) and importing the generated future climate weather file and the created passive residential building three-dimensional model into Opensudio, and simulating and predicting the energy consumption condition of the passive residential building under the future climate change.
Further, in step (1), the future climate weather profile is generated based on the conditions of the IPCC issued middle and high speed development mode B1 emission scenario;
the method is divided according to different building climate areas of a building city where a specific building is located.
Further, in the step (2), the peripheral structure parameters comprise settings of wall heat transfer coefficient, roof heat transfer coefficient, external window heat transfer coefficient and window-wall ratio;
the indoor thermal disturbance parameters comprise indoor summer refrigeration temperature and winter heating temperature, building energy consumption equipment power density and setting of work and rest time of indoor personnel of a house.
Furthermore, the power density of the building energy utilization equipment is divided according to whether the power density covers the heating equipment and the type of the heating equipment.
Further, the heating apparatus may be of a type including a fuel-fired heat source and an electric heating type heat source;
the fuel combustion heat source comprises a floor heating device, a wall-mounted furnace and a heating sheet;
the electric heating type heat source comprises an air conditioner, an electric heater and an electric blanket.
Further, the setting of the work and rest time of the personnel in the residential building is divided according to the percentage of the personnel living in the passive residential building model.
In addition, in the step (2), specifically, the building energy consumption parameters (the peripheral structure parameters and the indoor thermal disturbance parameters of the specific building) are subjected to parameter limitation on the passive residential building according to the standard of the building energy consumption parameters of the passive residential building, so that the specified reference value of the passive ultra-low energy consumption building technical guide (trial) (residential building) in China is met.
Furthermore, the climate conditions in the indoor thermal disturbance parameters are divided according to the temperature of different building climate zones in which the city is located.
Has the advantages that: compared with the prior art, the invention has the characteristics that: the invention provides an energy consumption simulation of a passive residential building based on future climate change, the climate change can influence the energy consumption of the passive residential building, a building energy consumption parameter of the passive building is defined according to a reference value given by a passive ultra-low energy consumption building technology guide (trial) (residential building) by generating a future climate file, the current and future energy consumption conditions of the passive residential building are predicted by using software Openscordio simulation according to the related national residential building standard specification indoor thermal disturbance parameter of the passive building, the current energy consumption condition of the passive residential building can be predicted according to the influence of the climate change, and the prediction is made on the energy consumption conditions of different building energy consumption parameters and indoor thermal disturbance parameters according to the energy consumption change condition of the passive residential building.
Drawings
FIG. 1 is a schematic flow chart of the operation of the present invention;
FIG. 2 is a passive residential building of the type constructed in accordance with the present invention;
fig. 3 is a simulation result of the type of passive residential building constructed in the present invention.
Detailed Description
The invention is further described with reference to the following figures and examples.
As shown in fig. 1, the method for predicting the energy consumption of the passive residential building based on the future climate change specifically comprises the following steps:
firstly, generating weather meteorological files of 2050s and 2080s in the future by using downscale Morphing based on typical meteorological annual data (TMY) published by NASA;
the future climate weather meteorological file is generated based on the conditions of the medium-high speed development mode B1 emission scene issued by IPCC; the method is divided according to different building climate areas of a building city where a specific building is located;
typical weather year (TMY) weather meteorological data published by NASA, selected from the most typical months in historical meteorological data (typically the past 30 years), including nine items of horizontal total radiation, maximum, minimum and average of dry bulb and dew point temperatures, maximum and average of wind speed; taking the average value of the months of the last 30 years as a basis, and selecting the average value of each month of the year close to 30 years from the data of the last 10 years as a typical meteorological year; selecting a climate simulation scene which is closer to a sustainable development mode B1 emission scene in the future of China based on the climate simulation scene issued by IPCC, and predicting the climate meteorological conditions 2050s and 2080s in the future by using a downscaling Morphing method;
the reference circle is determined as follows:
secondly, constructing a passive residential building model; after a weather meteorological file is generated in the future, a passive residential building three-dimensional model is constructed according to peripheral structure parameters and indoor thermal disturbance parameters of a specific building;
the peripheral structure parameters comprise the settings of wall heat transfer coefficient, roof heat transfer coefficient, external window heat transfer coefficient and window-wall ratio;
the indoor thermal disturbance parameters comprise indoor summer refrigeration temperature and winter heating temperature, building energy consumption equipment power density and setting of work and rest time of personnel in the house; dividing future climate meteorological files of the indoor thermal disturbance parameters according to different building climate areas of a building city where the building is located;
the building energy consumption parameter meets the relevant standard specifications of different building climate zones of the passive residential building;
in order to carry out energy consumption simulation on the passive residential building, the envelope parameters of the passive residential building meeting the standard are further defined, and energy consumption simulation prediction is carried out on the envelope parameters;
thirdly, the passive residential building regulates indoor thermal disturbance parameters; the thermal disturbance parameters are the lowest and highest indoor temperature, the heat transfer coefficient of the building enclosure structure, the power density of the building energy equipment and the activity condition of personnel in the residential building (the working and rest time of the personnel in the house);
whether the building energy consumption equipment in the passive residential building covers the heating equipment and the type division of the heating equipment or not; the heating equipment is divided into a fuel combustion heat source and an electric heating type heat source, the heating equipment such as a floor heating, a wall-mounted furnace and a heating sheet belongs to the fuel combustion heat source, and the heating equipment such as an air conditioner, an electric heater and an electric blanket belongs to the electric heating type heat source;
the type division of the passive residential building is realized by determining whether heating equipment exists in the passive residential building or not and limiting a passive residential building three-dimensional model according to the type of the heating equipment;
the activity condition of personnel in the passive residential building is divided according to the percentage of the personnel living in the building;
fourthly, establishing a three-dimensional model of the passive residential building according to the passive residential building envelope parameters and the indoor thermal disturbance parameters;
and fifthly, importing the generated future climate weather file and the created passive residential building three-dimensional model into Opensudio, and simulating and predicting the energy consumption condition of the passive residential building under the future climate change.
The established three-dimensional model of the passive residential building meets the requirements of the passive residential building in hot summer and cold winter and the relevant standard of the indoor thermal environment.
And setting energy consumption parameters according to the type of the passive residential building and the type of the heating equipment, establishing three-dimensional models of different types of passive residential buildings according to the requirement of energy consumption standards, and predicting the future energy consumption.
For the existing passive residential buildings in the city, after the heating equipment is limited, the types of the passive residential buildings are searched in the type library according to the requirements of the envelope structure parameters and the thermal parameters, so that the energy consumption simulation prediction is carried out, and the corresponding energy consumption of the passive residential buildings newly built later can be estimated according to the corresponding types of the relevant passive residential building examples; in the prediction method, each type of passive residential building only needs to carry out energy consumption simulation on the (typical) passive residential building model constructed according to the building energy consumption parameters under the category, and does not need to carry out energy consumption simulation on each building under the category any more, so that the workload of energy consumption simulation is reduced.
Example 1:
selecting a certain city of a certain province as a research target city, taking a certain passive residential building as a research object, carrying out downscaling deformation on weather and weather conditions of the certain city to generate future 2050s and 2080s weather and weather conditions, establishing a three-dimensional model of the passive residential building according to relevant building parameter standards of the passive residential building and indoor thermal disturbance parameter specifications of the passive residential building, importing building energy consumption simulation software Openstoudio based on an obtained weather file, and simulating the building energy consumption of the current and future research objects.
Determining that the selected city is a hot-summer and cold-winter area, and selecting building parameters with large influence degree on the passive residential building, namely an outer wall heat transfer coefficient, a roof heat transfer coefficient, an outer window heat transfer coefficient and a window-wall ratio; passive residential building indoor thermal disturbance parameters, namely summer indoor refrigeration design temperature, winter indoor heating design temperature, COP, equipment energy use behavior and use condition and personnel activity work and rest condition in the residential building; the influence factors are used as energy consumption parameters of the passive type residence to estimate the energy consumption conditions of 2050s and 2080s of the passive type buildings, and the simulation results meet the energy consumption requirements of the mobile type residence in the areas with hot summer and cold winter.
The invention can predict the energy consumption condition of the passive residential building under the future climate change, and simultaneously provides a method for generating the weather condition of the future climate, which can select a proper emission situation according to the social environment, change parameters of different influence factors and predict the energy consumption change condition of the passive residential building under the future climate.
The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above-mentioned embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and embellishments within the scope of the invention may be made by those skilled in the art without departing from the principle of the invention.
Claims (6)
1. A method for predicting energy consumption of a passive residential building based on future climate change is characterized by comprising the following specific operation steps:
(1) generating a future weather meteorological file through the scale reduction of the typical meteorological data;
(2) constructing a passive residential building three-dimensional model according to the peripheral structure parameters and the indoor thermal disturbance parameters of a specific building;
(3) and importing the generated future climate weather file and the created passive residential building three-dimensional model into Opensudio, and simulating and predicting the energy consumption condition of the passive residential building under the future climate change.
2. The method of claim 1, wherein the energy consumption of the residential passive building is predicted based on future climate change,
in step (1), the future climate weather profile is generated based on the conditions of the IPCC issued middle and high speed development mode B1 emission scenario;
the method is divided according to different building climate areas of a building city where a specific building is located.
3. The method of claim 1, wherein the energy consumption of the residential passive building is predicted based on future climate change,
in the step (2), the peripheral structure parameters comprise the settings of wall heat transfer coefficient, roof heat transfer coefficient, external window heat transfer coefficient and window-wall ratio;
the indoor thermal disturbance parameters comprise indoor summer refrigeration temperature and winter heating temperature, building energy consumption equipment power density and setting of work and rest time of indoor personnel of a house.
4. The method of claim 3, wherein the energy consumption of the passive residential building is predicted based on future climate change,
the power density of the building energy utilization equipment is divided according to whether the power density covers the heating equipment or not and the type of the heating equipment.
5. The method of claim 4, wherein the energy consumption of the passive residential building is predicted based on future climate change,
the heating equipment comprises a fuel combustion heat source and an electric heating type heat source;
the fuel combustion heat source comprises a floor heating device, a wall-mounted furnace and a heating sheet;
the electric heating type heat source comprises an air conditioner, an electric heater and an electric blanket.
6. The method of claim 3, wherein the energy consumption of the passive residential building is predicted based on future climate change,
the setting of the work and rest time of the personnel in the residential building is divided according to the percentage of the personnel living in the passive residential building model.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114611201A (en) * | 2022-05-12 | 2022-06-10 | 北京中建协认证中心有限公司 | Multi-objective energy-saving optimization method and system for future climate building |
| CN115048822A (en) * | 2022-08-15 | 2022-09-13 | 天津市气象科学研究所 | Evaluation method and system for refrigeration energy consumption of air conditioner |
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2022
- 2022-01-19 CN CN202210058041.0A patent/CN114417608A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114611201A (en) * | 2022-05-12 | 2022-06-10 | 北京中建协认证中心有限公司 | Multi-objective energy-saving optimization method and system for future climate building |
| CN115048822A (en) * | 2022-08-15 | 2022-09-13 | 天津市气象科学研究所 | Evaluation method and system for refrigeration energy consumption of air conditioner |
| CN115048822B (en) * | 2022-08-15 | 2022-10-28 | 天津市气象科学研究所 | Evaluation method and system for refrigeration energy consumption of air conditioner |
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