KR-20260065005-A - Indoor air conditioning optimal operation system, method, and recording medium recording a computer-readable program for executing the method

KR20260065005AKR 20260065005 AKR20260065005 AKR 20260065005AKR-20260065005-A

Abstract

An indoor air conditioning optimal operation system, a method, and a recording medium storing a computer-readable program for executing the method are disclosed. The indoor air conditioning optimal operation system includes an outdoor load acquisition unit, an indoor load acquisition unit, an air conditioner operation condition acquisition unit, a comfort calculation unit, a comfort determination unit, an air conditioner operation condition change unit, and an optimal operation condition setting unit. The outdoor load acquisition unit acquires weather data outside the building, the indoor load acquisition unit acquires the load inside the building, the air conditioner operation condition acquisition unit acquires the operation conditions of the indoor air conditioner of the building, the comfort calculation unit calculates the indoor comfort using the outdoor and indoor load data and the air conditioner operation condition information, the comfort determination unit determines whether the comfort falls within a preset satisfaction standard range and corresponds to an optimal standard range, the air conditioner operation condition change unit changes the load conditions so that the comfort falls within the optimal standard range if the comfort does not fall within the optimal standard range, and the operation condition setting unit sets the load conditions as the optimal operation conditions if the comfort falls within the optimal standard range.

Inventors

박훈채
정은영
유지용
주선경
주보경

Assignees

삼성물산 주식회사
플로우플러스 주식회사

Dates

Publication Date: 20260508
Application Date: 20241031

Claims (11)

An outdoor load acquisition unit that acquires weather data from outside the building; An indoor load acquisition unit that acquires load data inside a building; An air conditioner operation condition acquisition unit for acquiring information on the operation conditions of an indoor air conditioner of the above building; A comfort calculation unit that calculates indoor comfort using air conditioning condition information including the above-mentioned weather data, load data, and information on the operating conditions of the air conditioner; A comfort determination unit that determines whether the above comfort level falls within an optimal standard range set to be included within a preset satisfaction standard range; An air conditioner operation condition changing unit that changes the operating conditions of the air conditioner so that the comfort level corresponds to the optimal standard range when the comfort level does not correspond to the optimal standard range; and An indoor air conditioning optimal operation system characterized by including an optimal operation condition setting unit that sets the operating conditions of the air conditioner to optimal operation conditions when the above comfort level corresponds to the above optimal standard range.
In claim 1, An indoor air conditioning optimal operation system characterized by further including an optimal standard range setting unit that sets the range between the outermost value on one side of the above satisfaction standard range and a difference value spaced apart from the outermost value by a preset interval as the optimal standard range.
In claim 2, An indoor air conditioning optimal operation system characterized in that the above-mentioned one-sided outermost value is a value corresponding to the load condition in which the indoor air conditioner consumes the least amount of energy among the comfort values corresponding to the above-mentioned satisfaction standard range.
In claim 3, An indoor air conditioning optimal operation system characterized in that the above operating conditions include the indoor air conditioning supply temperature of the indoor air conditioner, and the above optimal standard range setting unit sets different optimal standard ranges for cooling and heating.
In claim 4, during the cooling operation of the indoor air conditioner, An indoor air conditioning optimal operation system characterized by the above air conditioner operation condition changing unit changing the indoor air conditioning inlet temperature to increase when the calculated comfort level is between the difference value and the outermost value on the other side of the satisfaction standard range.
In claim 4, when the indoor air conditioner operates during heating, An indoor air conditioning optimal operation system characterized by the above air conditioner operation condition changing unit changing the indoor air conditioning inlet temperature to lower it when the calculated comfort level is a value between the difference value and the outermost value on the other side of the satisfaction standard range.
In claim 5 or claim 6, An indoor air conditioning optimal operation system characterized by further including a control command transmission unit that transmits the set optimal operation conditions to the indoor air conditioner.
In claim 7, An indoor air conditioning optimal operation system characterized by further including an energy usage status analysis unit that analyzes the energy usage status of the indoor air conditioner using the above air conditioning condition information.
In claim 8, It further includes a scheduled time input unit for receiving the scheduled operating time of the indoor air conditioner, and An indoor air conditioning optimal operation system characterized by the above-mentioned outdoor load acquisition unit acquiring weather data corresponding to the above-mentioned scheduled time from an external system.
As an indoor air conditioning optimal operation method performed by an indoor air conditioning optimal operation system, Outdoor load acquisition step for acquiring weather data outside the building; Indoor load acquisition step for acquiring load data inside the building; A step for acquiring air conditioner operation conditions for acquiring information on the operation conditions of an indoor air conditioner of the above building; A comfort calculation step for calculating indoor comfort using air conditioning condition information including the above weather data, the above load data, and information on the operating conditions of the air conditioner; A comfort level determination step for determining whether the above comfort level falls within an optimal standard range set to be included within a preset satisfaction standard range; A step of changing the air conditioner operation condition to change the air conditioner operation condition so that the comfort level corresponds to the optimal standard range when the above comfort level does not correspond to the above optimal standard range; and A method for optimal indoor air conditioning operation characterized by including an optimal operating condition setting step, wherein the operating conditions of the air conditioner are set as optimal operating conditions when the above comfort level corresponds to the above optimal standard range.
A recording medium storing a computer-readable program for executing the method of claim 10.

Description

Indoor air conditioning optimal operation system, method, and recording medium recording a computer-readable program for executing the method The present invention relates to technology related to indoor air conditioning in buildings, and more specifically, to a system and method for deriving optimal indoor air conditioning operation conditions to save energy while satisfying the comfort of occupants. Generally, the suitability of indoor air conditioning conditions during air conditioning operation to satisfy the comfort of building occupants is primarily predicted and evaluated through thermal fluid analysis (CFD, Computational Fluid Dynamics analysis). The analyst derives optimal results and operating conditions by performing various re-analyses based on the analysis results, and this series of processes requires the analyst's direct effort and time. In other words, when performing thermal fluid analysis to derive optimal HVAC operation conditions for occupant indoor comfort, conventional methods involve the analyst directly performing repetitive tasks such as analysis execution, comfort assessment, modification of analysis conditions, and re-execution. Consequently, there are issues with reduced work efficiency due to the effort, time, and work consistency required from analysis engineers during manual analysis, as well as a lack of flexibility regarding connectivity with other analysis platforms. FIG. 1 is a schematic block diagram of an indoor air conditioning optimal operation system according to one embodiment of the present invention. FIG. 2 is a diagram illustrating an automated process for deriving optimal indoor air conditioning operating conditions for satisfying indoor comfort according to an embodiment of the present invention. FIG. 3 is a diagram illustrating an algorithm that implements the automation process of FIG. 2. Figure 4 is a diagram illustrating the PMV. Hereinafter, preferred embodiments of the present invention will be described with reference to the attached drawings. FIG. 1 is a schematic block diagram of an indoor air conditioning optimal operation system according to one embodiment of the present invention, FIG. 2 is a diagram illustrating an automated process for deriving indoor air conditioning optimal operation conditions for satisfying indoor comfort according to one embodiment of the present invention, and FIG. 3 is a diagram illustrating an algorithm implementing the automated process of FIG. 2. In FIG. 1, the indoor air conditioning optimal operation system includes an outdoor load acquisition unit (110), an indoor load acquisition unit (120), an air conditioner operation condition acquisition unit (130), a comfort calculation unit (140), a comfort judgment unit (150), an air conditioner operation condition change unit (160), an optimal operation condition setting unit (170), a scheduled time input unit (180), an optimal standard range setting unit (190), a control command transmission unit (200), and an energy usage status analysis unit (210). In Figure 1, each component of the indoor air conditioning optimal operation system may be implemented in hardware alone, but it is common for them to be implemented together in hardware and software that runs on the hardware. The outdoor load acquisition unit (110) acquires load data from outside the building, the indoor load acquisition unit (120) acquires load data from inside the building, and the air conditioner operation condition acquisition unit (130) acquires the operation conditions of the indoor air conditioner of the building. At this time, the scheduled time input unit (180) receives the scheduled time for operation of the indoor air conditioner, and the outdoor load acquisition unit (110) and the indoor load acquisition unit (120) can acquire load data corresponding to the scheduled time from an external system. With this configuration, it is possible to set reservations for indoor air conditioners using virtual sensors and weather forecast data, and to perform various simulations of the building's indoor environment. In Fig. 2, weather forecast data regarding temperature, humidity, and cloud cover corresponding to the predicted date and time is received from the Korea Meteorological Administration data server, and solar radiation is calculated based on the sun's position and altitude and cloud cover. Examples of automatically receiving internal load data, design, or measurement values regarding occupancy load, lighting load, and equipment load from the building management system server via API are each illustrated. Subsequently, the input data is checked, and if abnormal data occurs, the data input process can be re-performed. The comfort level calculation unit (140) calculates the comfort level of the indoor space using air conditioning condition information including environmental data and load conditions, and the comfort level judgment unit (150) determines whether the comfort level falls within the optimal stan