WO2018159873A1

WO2018159873A1 - Integrated evaluation diagnosis method for building energy

Info

Publication number: WO2018159873A1
Application number: PCT/KR2017/002253
Authority: WO
Inventors: 이경일; 이승호; 김회서; 박연아; 이한명
Original assignee: (사)아이비에스코리아
Priority date: 2017-03-02
Filing date: 2017-03-02
Publication date: 2018-09-07

Abstract

An integrated evaluation diagnosis system for building energy, according to the present invention, has an advantage of being capable of more accurately and effectively evaluating energy performance by evaluating building energy performance in consideration of both virtual energy consumption and real energy consumption.

Description

Integrated assessment diagnostic method for building energy

The present invention relates to an integrated evaluation and diagnostic method for building energy, and more particularly, to a building energy that can evaluate and diagnose the energy performance of an existing building in consideration of the operation status of an existing building rather than a new building. Integrated assessment diagnostic method.

Building energy simulation means creating an energy model using a computer-based energy analysis program to evaluate the energy performance of all or part of a building's system. The energy analysis program is a simulation program for evaluating the energy consumption and the cost of a building, and includes energy plus and trnssys.

However, the conventional building energy simulation is for professional use, and there is a problem in that the contents of the input unit to be input are very many. In addition, there is a problem that the reliability of the existing building is low because the operation status of the existing building without a building energy management system (BEMS) is not considered.

An object of the present invention is to provide an integrated evaluation diagnostic method for building energy for improving the building energy efficiency for an existing building.

An integrated evaluation diagnostic method for building energy according to the present invention includes the steps of: inputting weather data of an area in which a building is located; Building general information including the area where the building is located, the purpose of the area where the building is located, building operation information including the days and hours of use of the building, occupancy density, human body heat generation, device heating density, and lighting heating density. Inputting a usage profile of the building including indoor heating information including; Inputting design information of the building including the envelope information of the building and thermal property information of the envelope; Inputting facility information of the building including information on the air conditioning, heat source, and power generation facilities installed in the building; Calculating a virtual energy yield and a virtual energy consumption for the building from a building energy simulation model preset using the usage profile of the building and the design information of the building; Measuring actual energy consumption of the building by using facility information of the building and a meter for each energy source installed in the building; Evaluating the energy performance of the building by analyzing the weather data, the virtual energy yield, the virtual energy expenditure, and the actual energy expenditure.

The integrated evaluation diagnostic system for building energy according to the present invention has an advantage of evaluating energy performance more accurately and efficiently by evaluating building energy performance in consideration of both virtual energy consumption and actual energy consumption.

1 is a view schematically showing the configuration of an integrated evaluation diagnostic system for building energy according to an embodiment of the present invention.

2 is a flowchart illustrating a method for assessing integrated assessment of building energy according to an embodiment of the present invention.

3 is a view showing a sheet for inputting a use profile of a building according to an embodiment of the present invention.

4 is a view showing a sheet for inputting the envelope information of the building according to an embodiment of the present invention.

5 is a view showing a sheet for inputting the thermal property information for the outer shell of the building according to an embodiment of the present invention.

FIG. 6 is a diagram illustrating a sheet for inputting information about an air conditioning system and a heat source system among facility information of a building according to an exemplary embodiment of the present invention.

FIG. 7 is a diagram illustrating a sheet for inputting information on an auxiliary device, a hot water supply system, a lighting control system, and other power systems among facility information of a building according to an exemplary embodiment of the present invention.

8 is a diagram illustrating a sheet for inputting control information of a heating and hot water supply system among facility information of a building according to an exemplary embodiment of the present invention.

9 is a view showing a sheet for inputting the control information of the cooling, ventilation, lighting system of the facility information of the building according to an embodiment of the present invention.

10 is a diagram illustrating a sheet for inputting information of a renewable energy system among facility information of a building according to an exemplary embodiment of the present invention.

11 is a view showing the measurement data of the energy source and the usage amount of each energy source of the building according to an embodiment of the present invention.

12 is a view showing a sheet for inputting weather data of a building according to an embodiment of the present invention.

13 is a view showing a sheet for inputting schedule information of a building according to an embodiment of the present invention.

Hereinafter, an embodiment of the present invention will be described with reference to the accompanying drawings.

Referring to FIG. 1, the integrated evaluation diagnostic system for building energy according to an embodiment of the present invention includes an input unit 10, a meter 20, a simulation unit 30, an actual energy consumption evaluation / diagnostic unit 40, and And an output unit 50.

The input unit 10 is a sheet for inputting weather data, a usage profile, design information, and facility information. The input unit 10 may be directly input by the user, and data previously stored in a separate database or program may be selected and input.

The weather data includes outside air temperature, humidity, wind speed, and solar radiation in the area where the building is located. When the area where the building is located is selected, weather data of the area may be automatically selected and input.

Referring to FIG. 12, the meteorological data is monthly data of a year for measuring an amount of energy used by an energy source of the building. For example, monthly outside air temperature, monthly wind speed, monthly solar radiation, and the like. However, the present invention is not limited thereto, and the weather data may include at least two years of weather data. In addition, the weather data may be directly input by the user or may use weather data stored in a separate program or database.

Referring to FIG. 3, the usage profile includes building general information, building operation information, and indoor heat generation information.

The building general information includes an identification ID of the building, an area in which the building is located, a use of the area in which the building is located, a total floor area of the building, the number of floors of the building, a floor height of the building, a ceiling of the building, and the air conditioning of the building. Include area ratios.

For example, the area where the building is located provides a list of 13 cities in Korea, including Seoul, Busan, Incheon, Daegu, Daejeon, Gwangju, Gangneung, Wonju, Chuncheon, Jeonju, Cheongju, Mokpo, and Jeju. You can enter from a list. When a region is selected from the city list, the weather data may be automatically selected as the weather data of the region.

The use of the area in which the building is located is also called a terrain, and can be selected and input from open areas, countryside, and downtown. The use of the area can be used later for wind power generation systems and for calculating the amount of infiltration.

The total floor area of the building, the number of floors of the building, the floor height of the building, the ceiling of the building, and the air conditioning area ratio of the building can be collected and input from the design drawing of the building.

The building operation information includes a use day and a use time of the building.

The days of use of the building may be entered in units of weeks. For example, if the building is used from Monday to Friday, you can select and enter the number 5.

The use time of the building may be divided into a weekday use time and a weekend use time, and the use time of the building may be input from 24 hours per day. For example, if a building is used from 9 to 18:00 during the week, the number 9 can be selected and entered.

The indoor heat generation information includes occupant density, human body heat generation amount, device heat generation density, and illumination heat generation density. The indoor heat generation information may include a heating set temperature or a cooling set temperature.

The occupancy of the occupancy can be input to the occupancy of the air conditioning unit per unit area. For example, it can be entered as 0.14 to 0.25 / m ² .

The calorific value of the human body may input a calorific value per occupant of the patient. For example, you can input 116 ~ 121W / in.

The heat generation density of the device is input to the heat generation amount per unit area of the office equipment, TV, etc. in the air conditioning room.

The illumination heating density may input an amount of heat generated per unit area of illumination in the air conditioning room.

On the other hand, the design information, the envelope information of the building and the thermal property information for the envelope. The design information may be collected and input from a design drawing of the building.

Referring to FIG. 4, among the design information, the envelope information includes the heat capacity, the amount of infiltration, the orientation and area of the opaque envelope, and the orientation and area of the transparent envelope.

The heat capacity of the building can be input with reference to the cross-sectional detail of the design drawing. The amount of infiltration may be input to the amount of inlet air through the shell of the building.

The area with respect to the said shell inputs the total area for each orientation. The area of the shell may be input by referring to a plan view and an elevation view of the design drawing. The opaque envelope includes a roof or a wall, and inputs the remaining area excluding the area of the transparent envelope for each orientation. The transparent shell includes windows and the like. For example, when the area of the south facing shell is 100, if the area of the opaque shell is 70, the transparent outer shell area is 30.

Referring to FIG. 5, heat property information on the outer cover of the design information includes a heat permeability (U-value), a solar heat capture coefficient (SHGC), an absorption rate, and an emissivity. That is, the heat transmission rate, the absorption rate, and the emissivity for the opaque sheath may be input, and the heat transmission rate, the heat radiation acquisition coefficient, and the overhang angle for the transparent sheath may be input.

The heat transmission rate may be input by referring to a drywall list and a guide included in the design drawing. The solar thermal acquisition coefficient may be input by referring to a window list and a guide diagram of the design drawing. The absorptivity and emissivity can also be input with reference to the cross-sectional details of the design drawing.

Meanwhile, the facility information includes information on air conditioning, heat sources, and power generation facilities installed in the building. That is, the facility information includes information on an air conditioning system, a heat source system, an air conditioning system auxiliary device, a hot water supply system, a lighting control system, other power systems, control of various systems, and a renewable energy related system.

6 shows a sheet for inputting information about the air conditioning system and the heat source system among the facility information.

Referring to FIG. 6, information on the air conditioning system (HVAC) in the facility information includes a type, a ventilation method, an outside air introduction amount, a heat recovery device, an exhaust recycle, a cooling, and a heating air supply temperature. The type, ventilation method, and heat recovery device may be input with reference to the equipment list included in the facility drawing.

The information on the heat source system among the facility information includes the type of system, efficiency, and load charge ratio. The type and efficiency of the system can be entered with reference to the equipment list included in the facility drawing. The load charge ratio may be arbitrarily input by the user.

7 shows a sheet for inputting information on an auxiliary device, a hot water supply system, a lighting control system, and other power systems among the facility information.

Referring to FIG. 7, information on the air conditioning system auxiliary device among the facility information includes fan specific power, usage, and pump automatic control ratio. The fan specific power and use can be input with reference to the equipment list. The fan specific power is an amount of power used by the fan to supply a flow rate of 1 liter per second. The fan specific power can be entered as one of 1 to 10, where 1 is good, 5 is average and 10 is bad. As the pump automatic control ratio, the automatic control diagram can be used.

The information on the hot water supply system among the facility information includes the type of system, the efficiency, the amount of hot water required per person per day, and the pipe heat loss rate. When the type of hot water supply system is selected, the efficiency set in the program may be applied, and when the use of the user input value is selected, the user input value may be reflected.

The information on the lighting control system among the facility information includes a lighting control method. The lighting control method includes an illumination intensity control, a dimming control, and a room detection control.

Among the facility information, other power usage systems include elevators and the like. The number of elevators may be input to calculate the power consumption of the elevator.

FIG. 8 shows control information of a heating and hot water supply system among the facility information, and FIG. 9 shows control information of a cooling, ventilation and lighting system among the facility information.

8 and 9, control information of various systems among the facility information includes information on heating system control, hot water supply control, cooling system control, ventilation system control, and lighting system control. The control information may select and input a function by reflecting a building automation and control system (BACS) of the building. The BACS grade of each system is determined as the lowest grade in each evaluation item. That is, if any one of the plurality of evaluation items is a D grade, the system grade is determined as a D grade.

10 shows control information of the renewable energy system among the facility information.

Referring to FIG. 10, information on a renewable energy related system among the facility information includes information about a solar hot water supply system, a solar power generation system, and a wind power generation system.

The information about the solar hot water supply system includes whether a program default value is used, a collector type, a collector area, a collector orientation, a collector slope, a solar heat storage capacity, and the like.

The information about the photovoltaic power generation system includes whether program default settings are used, a photovoltaic module type, a module area, a module orientation, a module tilt, a solar radiation blocking level, and an installation method. The solar radiation blocking level refers to a rate at which solar radiation does not reach the solar module due to external obstacles such as surrounding buildings or trees.

The information on the wind power generation system includes whether to use the program default value, generator height, generator turbine diameter and power generation capacity.

If there is no information on the new playback system, the program default setting value may be used by selecting yes in whether to use the program default setting value.

The meter 20 measures the usage amount of each energy source of the facilities installed in the building. The meter 20 includes a power meter, a calorimeter, a flow meter, a wind meter, a gas meter and the like.

11 is a view showing the measurement data of the energy source and the usage amount of each energy source of the building.

Referring to FIG. 11, the meter 20 sets energy sources to be used according to cooling, heating and hot water supply systems of buildings, and measures monthly energy source usage for each energy source. The economic feasibility may be analyzed using the measured energy source usage and the energy cost stored in the program.

The simulation unit 30 includes a commercially available dynamic simulation program such as Energy Plus or Trnsys. The simulation unit 30 calculates a virtual energy production amount and a virtual energy consumption amount for the building from a preset building energy simulation model using the use profile of the building and the design information of the building.

The actual energy consumption evaluation / diagnosis unit 40 is a program for evaluating the energy consumption for each energy source by collecting and analyzing the usage amounts for each energy source measured by the meter 20.

The output unit 50, the virtual energy output calculated in the simulation unit 30, the virtual energy consumption, the amount of energy used by the energy source measured by the meter 20, the actual energy consumption evaluation / diagnosis unit 40 Output at least one of the energy consumption evaluation results determined in step.

Meanwhile, the integrated evaluation diagnostic method for building energy according to an embodiment of the present invention will be described.

Referring to FIG. 2, first, weather data, a usage profile, design information, and facility information of a building to be evaluated are inputted (S1).

The simulation unit 30 executes a simulation from a building energy simulation model set in advance using the use file and the design information. (S2)

The values input from the input unit 10 are loaded to execute a simulation to calculate energy production and energy consumption for the building (S3).

The calculated energy production amount and energy consumption amount are imaginary values because they are calculated through simulation.

The virtual energy consumption amount may be displayed as the energy use amount and the energy use amount by the output unit 50. The amount of use of each energy use and the amount of use of each energy source may be displayed separately by year and month. The energy use may be classified into heating, cooling, hot water supply, lighting, ventilation, and the like. The energy source may be classified into electricity, gas, diesel, kerosene, district heating, district cooling, and the like.

The energy usage for each energy use may be expressed as energy consumption per unit area and CO ₂ emissions per unit area.

The virtual energy consumption may be analyzed by comparing building energy statistics stored in advance in a database or the like.

In addition, the actual energy consumption evaluation / diagnosis unit 40 measures and evaluates the actual energy consumption based on the facility information of the building and the value measured by the meter 20. (S4)

The value measured by the meter 20 can be used as it is without performing correction. Meanwhile, the facility information of the building input through the input unit 10 may be corrected.

As described above, the virtual energy consumption calculated through the simulation and the actual energy consumption measured by the meter may be compared and analyzed to determine the current energy consumption level of the building.

In addition, the energy consumption reduction factor may be determined by comparing the virtual energy consumption with the actual energy consumption.

In addition, the energy usage distribution of the similar building group having similar conditions to the building may be determined from a preset database to determine the energy efficiency level of the building.

Although the present invention has been described with reference to the embodiments shown in the drawings, this is merely exemplary, and it will be understood by those skilled in the art that various modifications and equivalent other embodiments are possible. Therefore, the true technical protection scope of the present invention will be defined by the technical spirit of the appended claims.

According to the present invention it is possible to diagnose and evaluate the energy performance of the building more accurately and effectively.

Claims

Inputting weather data of the area where the building is located;

Building general information including the area where the building is located, the purpose of the area where the building is located, building operation information including the days and hours of use of the building, occupancy density, human body heat generation, device heating density, and lighting heating density. Inputting a usage profile of the building including indoor heating information including;

Inputting design information of the building including the envelope information of the building and thermal property information of the envelope;

Inputting facility information of the building including information on the air conditioning, heat source, and power generation facilities installed in the building;

Calculating a virtual energy yield and a virtual energy consumption for the building from a building energy simulation model preset using the usage profile of the building and the design information of the building;

Measuring actual energy consumption of the building by using facility information of the building and a meter for each energy source installed in the building;

Evaluating the energy performance of the building by analyzing the weather data, the virtual energy yield, the virtual energy expenditure, and the actual energy expenditure.
The method according to claim 1,

Evaluating the energy performance of the building,

Integrated evaluation method for building energy to determine the energy efficiency class of the building by using the energy usage distribution of the similar building group having similar conditions to the building from a preset database.
The method according to claim 1,

Evaluating the energy performance of the building,

And comparing the virtual energy consumption with the actual energy consumption to determine an energy consumption reduction factor.
The method according to claim 1,

The meteorological data includes at least one of monthly external air temperature, humidity, wind speed, and direct sunlight in a year for measuring energy consumption of the building,

Integrated assessment diagnostic method for building energy, either directly entered by the user or using pre-stored weather data in a database.
The method according to claim 1,

The building general information,

Further comprising the ratio of total floor area, number of floors, floor height, ceiling height, air conditioning area of the building,

Integrated assessment diagnostic method for the building energy collected from the design drawing of the building and input.
The method according to claim 1,

The envelope information of the building,

An integrated assessment diagnostic method for building energy comprising heat capacity of said building, infiltration amount, orientation and area of opaque envelope, orientation and area of transparent envelope.
The method according to claim 1,

The thermal property information on the envelope, the integrated evaluation diagnostic method for building energy, including heat transmittance (U-value), solar heat acquisition coefficient (SHGC), absorption, emissivity.
The method according to claim 1,

Information about the facilities,

At least one of information on an air conditioning system, a heat source system, an air conditioning system auxiliary device, a hot water supply system, a lighting control system, other power systems, various systems, and renewable energy related systems installed in the building,

Integrated assessment and diagnostic method for building energy collected and input from the facility drawings and equipment list of the building.
The method according to claim 1,

The virtual energy consumption is,

Integrated assessment diagnostic method for building energy, including energy consumption per unit area and CO 2 emissions per unit area.
The method according to claim 1,

The virtual energy consumption is,

Integrated assessment diagnosis on energy consumption classified by cooling, heating, hot water supply, lighting and ventilation, and energy consumption by energy sources classified according to electricity, gas, diesel, kerosene, district heating, and district cooling Way.