KR101532416B1 - Energy efficiency and metric calculating system - Google Patents

Abstract

Disclosed is an energy efficiency calculation system which identifies efficiency for energy types and energy metrics by predicting energy efficiency based on surrounding environment of a building, i.e. structure information including a positional relationship between a building and a surrounding building and natural environment change by a surrounding building, i.e. light amount, air volume, wind direction and ascending air current depending on building height. To this end, the present invention comprises: a data acquisition unit for acquiring environmental information and a predicted value respectively from environmental sensors, which are placed in each prediction areas and measure environmental information of a building, and a prediction unit which predicts energy, when an internal space of the building is divided into a plurality of prediction areas; and an energy efficiency calculation unit which calculates an estimated efficiency value about energy efficiency for each area depending on lighting, an air volume, a wind direction and the temperature in reference to an arrangement direction of the area and a three-dimensional (3D) structure of a surrounding building neighboring the area and determines energy efficiency and energy metrics for each area by applying a predicted value of each area to the estimated value. In addition, the energy efficiency calculation unit is capable of adding and subtracting the influence of environmental information depending on a positional relationship between the building and other neighboring building by referring to an electronic map.

Description

Energy efficiency and metric calculating system

The present invention relates to an energy efficiency calculation system, and more particularly, to an energy efficiency calculation system for estimating an energy consumption and an energy metric for a building considering natural and environmental influences caused by other buildings located around the building, And an energy efficiency calculation system capable of calculating efficiency classes.

The energy consumed in buildings is mainly consumed in heating and cooling, and the efficiency of these heating and cooling energy has a great influence on the building use and maintenance. The newly built buildings are improving energy efficiency by installing high-efficiency insulation materials or by incorporating highly efficient heating and cooling devices. However, the energy efficiency may not be determined solely by the performance of the insulation or the efficiency of the heating and cooling apparatus. When other buildings surround the building, the building may be difficult to obtain mining and airflow, and if the building is higher than the surrounding building, it may be subcooled by the jet stream flowing along the vertical direction of the building.

If the mining is insufficient, the temperature of the building may be lower than the ambient temperature. In this case, the building may need to heat up to consume more energy, and if the airflow is insufficient, the temperature of the building is not easily lowered, .

In this way, the energy efficiency of a building can be increased or decreased according to the surrounding environment of the building, but the energy efficiency calculation up to now is calculated based on the amount of energy consumed in the building depending on ambient temperature.

On the other hand, U.S. Patent No. 8,370,093 discloses a technique of collecting environmental data in a building using a plurality of environmental sensors included in a building, controlling the temperature by interlocking the environmental sensor and the temperature control device, The energy efficiency and the energy metric of the system are calculated.

U.S. Pat. No. 8,370,093 measures the temperature and humidity of a building to determine at least one energy metric for the building and can identify areas within the building that can cause energy efficiency problems. However, U.S. Pat. No. 8,370,093 seeks to deduce areas of low energy (eg, thermal energy) efficiency through measurements within the building, such as temperature and humidity. However, U.S. Pat. No. 8,370,093 is overlooking the energy efficiency or energy metrics associated with the environment around the building.

The object of the present invention is to provide a method and apparatus for controlling each area of a building in consideration of the environment surrounding the building, the arrangement relationship of the neighboring buildings, the direction of the building, Energy efficiency calculation system that predicts energy efficiency and energy metrics.

According to the present invention, the above object can be achieved by providing an information processing apparatus, comprising: an environmental sensor for measuring environment information of a building and a measurement unit for measuring energy, which are arranged for each measurement region when the internal space of the building is divided into a plurality of measurement regions, , A data acquiring unit for acquiring the energy efficiency of each zone, and a 3D (Dimension) three-dimensional structure of neighboring buildings adjacent to the area, and calculating the efficiency predicted value for the energy efficiency for each zone according to the light intensity, air volume, And an energy efficiency calculation unit for determining the energy efficiency and the energy matrix for each of the areas by applying the measured values in the respective areas to the predicted values, and the energy efficiency calculation unit calculates the energy efficiency of each of the other buildings And an energy efficiency calculation system for adding or subtracting the influence of the environment information according to the arrangement relationship with the environment information.

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According to the present invention, since the structure information including the arrangement relation with the surrounding environment of the building, for example, the building and the neighboring buildings, and the natural environment change due to the surrounding buildings such as the increase in the amount of light, air volume, Energy efficiency can be predicted to identify energy type efficiency and energy metrics.

1 shows a conceptual diagram of an energy efficiency calculation system according to an embodiment of the present invention.
FIGS. 2 and 3 show reference drawings illustrating the case where the environmental information is dimming information.
Fig. 4 shows a reference drawing illustrating an example in which the environmental information is air volume information.
Fig. 5 shows a reference drawing illustrating an example in which environmental information is building information.

Hereinafter, the present invention will be described in detail with reference to the drawings.

1 shows a conceptual diagram of an energy efficiency calculation system according to an embodiment of the present invention.

Referring to FIG. 1, the energy efficiency calculation system 100 according to the embodiment divides buildings 10a to 10n into a plurality of areas (Area A, Area B, and Area C) (Area A, Area B, and Area C) from the environmental sensor 11 and the measurement device 12 provided for each of the buildings 10a to 10n, And calculates the energy efficiency or energy efficiency of each type.

The environment sensor 11 basically includes a temperature sensor and a humidity sensor, and may further include a carbon dioxide concentration sensor, an illuminance sensor, a gas sensor, a dust concentration sensor, and the like. As described above, there is a conventional system in which a temperature sensor and a humidity sensor are incorporated in buildings 10a to 10n and the thermal efficiency of the buildings 10a to 10n is calculated using the same. However, the system for calculating the thermal energy efficiency inside the buildings 10a to 10n by using only the temperature sensors and the humidity sensors is not suitable for the environment outside the buildings 10a to 10n that affect the energy efficiency of the buildings 10a to 10n Are overlooked in many ways. The present applicant considers the acquisition of environmental information on the outside of the buildings 10a to 10n. This is because the intensity and direction of the wind toward the buildings 10a to 10n and the direction and direction of the wind toward the buildings 10a to 10n, The energy efficiency and the metric of the building 10a to 10n can be predicted by referring to the dimming and the air volume according to the three-dimensional (3-Dimension) arrangement relationship.

On the other hand, when each building 10a to 10n is divided into a plurality of areas, each of the buildings 10a to 10n can be divided into two, three, or more areas, and the buildings 10a to 10n ), And the location of the energy consuming company in the buildings 10a to 10n. A plurality of areas (Area A, Area B, and Area C) of the buildings 10a to 10n do not necessarily have to be uniformly partitioned, nor should they have a constant directionality or regularity. After the buildings 10a to 10n are divided into a plurality of areas (Area A, Area B and Area C), the energy efficiency calculation system 100 calculates the energy consumption of each type using the measuring device 12 for each area . Here, the category energy may mean energy types such as electricity, gas and oil consumed in the buildings 10a to 10n.

As each building 10a to 10n is divided into a plurality of areas (for example, Area A, Area B and Area C), a measuring device 12 for measuring the consumption amount of energy of each category can be provided, A gateway 15 is required to transmit the measured values obtained from the device 12 to the energy efficiency calculation system 100 according to the embodiment. The gateway 15 is network-connected to the energy efficiency calculation system 100 according to the embodiment, and can collect and provide measurement values for each area (area A, area B, and area C).

The efficiency calculation system 100 collects environmental information on the inside and outside of the buildings 10a to 10n acquired from the gateways 15 of the buildings 10a to 10n and calculates the efficiency of the respective areas A 10a to 10n with reference to the first factor increasing the energy efficiency of the buildings 10a through 10n and the environmental information of the second factor reducing the energy efficiency of the buildings 10a through 10n, A matric can be calculated.

This will be described with reference to Figs. 2 to 5 together.

FIGS. 2 and 3 illustrate the case where the environment information is dimming information, and the dimming of the area A is blocked by the neighboring building 10d adjacent to the building 10a. The building 10a can receive sunlight when the sun comes to a position of "5c " by the three-dimensional structure of the building 10d. In the seasons demanding heating, Not only the heating efficiency is lowered but also the amount of heating energy and electric energy consumption may increase because the illumination must be sufficiently bright until the sun reaches the area A until the sun reaches "5c ".

On the other hand, if the season is summer, the cooling demand may be lowered until the sun reaches the position of "5c". In this case, the energy efficiency of the air conditioner for cooling the building 10a is raised. That is, when the position of the sun reaches "5c ", the demand for cooling or heating energy may be different depending on seasonal factors and influences of outside air temperature, A) energy efficiency and energy metrics can be differentiated. If the season is winter, the demand for heating energy increases until the position of the sun reaches "5c" (t1), and when the oil is used for heating, the energy efficiency of the area (Area A) (10d), as well as an energy metric in which the amount of consumption of the oil increases. On the other hand, if the season is summer, the energy demand for cooling energy is generated in the area A, but until the sun reaches "5c" (t1), the electric energy required for cooling decreases, It can show a tendency to decrease.

The buildings 10b and 10c can calculate the energy efficiency and the energy metric in the same manner as the building 10a. When the light condition is determined for the building 10b, the sunlight reaches the building 10b with reference to the height of the building 10a and the three-dimensional structure that affect the dimming between the movement trajectory of the sun and the building 10b The possible time and angle can be determined. Judging the lighting conditions for the building 10d, it can be seen that the building 10d is limited to only some lighting conditions by the building 10d, and thereafter the lighting conditions are not limited.

On the other hand, the dimming condition can be varied not only by the three-dimensional positional relationship between the building 10a and the building 10d, but also by the distance between the two buildings. 2 and 3, even if the height difference between the building 10a and the building 10d is not large when the building 10a and the building 10d are spaced apart by a distance d1, Light may not be easy to reach. As described above, in addition to the three-dimensional solid structure of the buildings 10a and 10d, the distance d1 between the buildings can affect the light condition of the building 10a. The energy efficiency calculation system 100 according to the embodiment is configured to calculate the energy efficiency based on the distance between the building 10a and the building 10d and the three- 10c, and 10d are required. The geographical information must have the form of an electronic map, and it requires the width, height and height of the building 10b to 10d and layout information on the map (or electronic map). Such building information can be acquired through a map system 90 of an electronic map maker or through a map system (not shown) for generating and distributing a navigator map. In addition, building information provided by national and public institutions It can also be used. However, it is not limited.

As described above, the energy efficiency calculation system 100 according to the embodiment can determine the dimming condition according to the arrangement relationship and distance between buildings, and calculate the cooling / heating energy efficiency according to the determined dim condition. However, the cooling / heating energy efficiency of the buildings 10a to 10d can be varied according to the wind amount and the wind direction toward the buildings 10a to 10d. This will be described with reference to FIG.

4, when wind is blown in the direction d2 toward the area 10a of the building 10a, the wind 1 is blocked by the building 10c and the wind 2 is blown by the building 10c, It is possible to proceed toward the building 10b.

The direction and wind amount of the wind can be obtained by an environmental sensor (for example, reference numeral 11) disposed in the building 10a or can be obtained through a meteorological office. Wind 1 can significantly affect the energy efficiency of buildings 10a, especially during winter and summer. For example, when a strong wind in the winter is directed toward the building 10a along the direction d2, the temperature of the building 10a is lowered. When the building 10a uses the oil to heat the building, have. If it is summer, the cooling efficiency can be lowered according to the temperature around the building 10a. For example, if the outside air is at a temperature of 30 degrees or more and the wind is directed toward the building 10a, the cooling efficiency is lowered, The energy metric can be increased.

On the other hand, energy efficiency and energy metric can be predicted according to the height of the building 10a when the building 10a is windy. This will be described with reference to FIG.

Referring to FIG. 5 (a), as the height of the building 10a increases, the upward airflow rising along the wall surface of the building increases. Referring to FIG. 5b, as the height of the building 10a decreases, The size of the ascending airflow ascending along the wall surface of the inner wall 10a becomes smaller. The height of the building 10a in the city center does not affect only the light intensity or the wind direction and the temperature of the building 10a can be raised or lowered by the upward airflow that the wind in the city center rises on the wall surface of the building 10a .

If the height of the building 10a is high, the efficiency of cooling and heating energy is reduced by the upward airflow, and if the height of the building 10a is low, the cooling and heating energy efficiency by the upward airflow can be increased accordingly.

The energy efficiency calculation system 100 according to the embodiment may include a data acquisition unit 110, an efficiency prediction value calculation unit 120, an energy efficiency calculation unit 130, and a database 140 .

The data acquisition unit 110 can acquire environmental information and measurement values from the environmental sensor 11 and the measurement device 12 installed inside and outside the buildings 10a to 10n.

Here, the environmental information may be at least one of temperature, humidity, illuminance, carbon dioxide concentration, illuminance, gas, wind direction, wind pressure and dust concentration inside or outside the buildings 10a to 10n.

The data acquiring unit 110 may acquire energy consumption information of the buildings 10a to 10n from the measuring device 12 when acquiring environmental information. Here, the category energy may refer to electricity, oil, or gas energy, but any energy may be used as long as the energy is available in the buildings 10a to 10n. However, it is not limited.

The predictive value calculating unit 120 calculates a predictive value for each area (e.g., "Area A") of the buildings 10a to 10n (hereinafter referred to as only 10a) based on the environment information and the measured values acquired by the data acquiring unit 110 Can be calculated. The predicted values include factors affecting environmental information such as temperature, humidity, gas concentration and illuminance for the area A of the building 10a including the heating energy, cooling energy, air conditioning energy and illumination energy of the building 10a And the expected energy required in the area (Area A).

For example, in the season (spring, summer, autumn and winter) starred area (Area A)

1) Estimated energy consumption (air-conditioning and heating energy)

2) Estimated energy consumption (illumination energy)

3) Estimated consumption of electric energy of the air conditioner by plural carbon dioxide concentration (or dust concentration) (air conditioner energy)

4) Depending on the predicted wind speed, heating efficiency, and cooling efficiency (electricity or oil energy) of the rising airflow of each building height, the predicted value calculating unit can calculate the energy consumption of each type by referring to the database 150 about the expected energy consumption of each type .

The energy efficiency calculation unit 130 refers to the 3D structure of the building to determine the wind volume, wind pressure, lighting condition, and temperature condition of the wind toward the building from the outside of the building 10a. The predicted value calculation unit 120 The calculated predicted values can be corrected to determine the final energy consumption and the energy metric.

The energy efficiency calculation unit 130 refers to the arrangement relationship between the buildings according to the three-dimensional structure of the building 10a and the surrounding buildings 10b to 10d through the map system 90, The final energy consumption amount and the energy metric calculated by the predicted value calculation unit 120 and calculated by the energy efficiency calculation unit 130 are corrected.

The energy efficiency calculation unit 130 calculates the energy consumption amount and the energy metric and then obtains the consumed amount of the type energy measured by the measuring device 12 of the actual building 10a after a predetermined period (for example, one month) Based on this, the final energy consumption and energy metric can be corrected. The proportional constant required to make the predicted value become the measured value by this correction can be calculated, and the calculated proportional constant can be used in the energy efficiency calculation unit 130 thereafter.

Thereafter, the energy efficiency calculating unit 130 can calculate the energy efficiency grade using the ratio of the deviation between the estimated consumption and the actual consumption. When the measured consumption is larger than the estimated consumption amount, the efficiency of the devices (for example, air conditioner, air conditioner, etc.) in the building 10a is often lowered and the energy efficiency grade is low. On the other hand, The rating is high. The energy efficiency grade is expressed as a ratio of actual consumption / estimated consumption, and the ratio of actual consumption to expected consumption may be included in a class section divided into several sections.

For example, an energy efficiency rating is defined as a ratio

5) 1st grade: 1 (actual consumption / estimated consumption)

6) Grade 2: 1.1 ~ 1.3 (actual consumption / estimated consumption)

7) Grade 3: 1.3 ~ 1.6 (actual consumption / estimated consumption)

8) 4th grade: 1.7 ~ 2 (actual consumption / estimated consumption)

9) Outside grade: 2 or more.

10a ~ 10n: building 100: energy efficiency calculation system
110: data acquisition unit 120: predicted value calculation unit
130: Energy efficiency calculation unit 140: Database

Claims (7)

A data acquiring unit that acquires environmental information and measurement values from an environmental sensor disposed in each of the measurement areas to measure environmental information of the building and a measurement unit configured to measure energy when the internal space of the building is divided into a plurality of measurement areas; And
Calculating an efficiency predicted value for the energy efficiency of each of the zones according to the light intensity, the wind amount, the wind direction, and the temperature with reference to the arrangement direction of the area and the 3D structure of the neighboring buildings adjacent to the area, And an energy efficiency calculation unit for determining the energy efficiency and the energy matrix for each of the areas by applying the measured values in the energy efficiency calculation unit to the predicted values,
And the influence of the environmental information is increased or decreased according to the arrangement relationship between the building and the neighboring building adjacent to the building with reference to the electronic map. The method according to claim 1,
The energy-
Calculating a mining time and a mining amount of each of the areas with reference to a 3D structure of the surrounding buildings, and calculating a thermal energy efficiency for each of the areas based on the mining time and the mining amount. The method according to claim 1,
The energy-
Calculating a predicted resistance with respect to the amount of air directed to the building with reference to the arrangement relationship between the building and another building adjacent to the building and estimating the temperature change of the building by the amount of air directed to the building Efficiency calculation system. The method of claim 3,
The energy-
And calculating an energy efficiency for the building by calculating an estimated energy consumption amount to be consumed in the building according to the temperature change of the building and comparing actual measured energy amount according to the temperature change in the building, system. 5. The method of claim 4,
The energy-
Wherein the ratio between the estimated energy consumption and the estimated energy consumption is calculated in accordance with the ratio of the measured energy to the estimated energy consumption and the ratio of the estimated energy consumption to the measured energy amount is divided into a plurality of numerical ranges to form an energy efficiency grade. . 5. The method of claim 4,
The energy-
Energy-efficiency calculation system. delete

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