Mitsubishi Electric Corporation

Masae Sawada

Mio Motodani

Takaya Yamamoto

Osamu Nakajima

Toshisada Mariyama

Ryuta Tanaka

Koki Nakane

In a thermal load estimation device, a process in which a state estimating unit estimates a state amount indicating a state of a target area at an estimation target time by using measurement data obtained by measuring a state amount of the target area, air conditioner operation data indicating an operation state of an air conditioner disposed in the target area, and a thermal load of the target area estimated by a thermal load estimating unit, and a process in which the thermal load estimating unit estimates the thermal load of the target area by using the measurement data, the air conditioner operation data, and an estimation value of the state amount of the target area estimated by the state estimating unit are alternately performed, so that a thermal load likely to be the thermal load of the target area at the estimation target time is estimated.

Thermal load estimation device, air conditioning control system, and thermal load estimation method

Change of a set room temperature of an air-conditioning apparatus leads to change of electric power consumed by the air-conditioning apparatus, and in a case of cooling, the consumed electric power increases as the set room temperature decreases. Consequently, a user has been unable to freely change the set room temperature. Thus, when the set room temperature is changed by the user, an evaporating temperature (refrigerant temperature) at which the electric power consumed by the air-conditioning apparatus does not change before and after the change is estimated and the air-conditioning apparatus is commanded for the evaporating temperature, which allows the user to pursue indoor comfort without worrying about the electric power consumed by the air-conditioning apparatus.

Air-conditioning control device and air-conditioning control method

An air-conditioning control device for controlling an air-conditioning apparatus configured to perform air conditioning of a room in which a device that changes an amount of water vapor is located. The air-conditioning control device includes a condensation occurrence determiner configured to determine whether condensation occurs in the room after a certain amount of time elapses by using an amount of change in water vapor, which is predicted by collating device operation data with a device operation table, and an air-conditioning controller configured to change an operation state of the air-conditioning apparatus when the condensation occurrence determiner determines that condensation occurs.

Air-conditioning control device, air-conditioning apparatus, and air-conditioning system

An air-conditioning control evaluation apparatus includes a storage unit and a computing unit. The storage unit stores building information, input information, control information, a set of building models, and a candidate selection criterion. The computing unit determines an item available as input data for a building model, identifies the distribution of observed data, selects a plurality of candidate building models from the set of building models based on the available item and candidate selection criterion, estimates each parameter based on a method corresponding to the distribution, determines one building model based on a predetermined statistic calculated for the plurality of building models and the residual between estimated and observed values calculated for each of the building models, and evaluates, by use of the determined building model, energy saving and comfort for a plurality of controls to be evaluated.

Air-conditioning control evaluation apparatus, air-conditioning control evaluation method, and computer readable medium

An air-conditioning system control apparatus including: a storage to store data for control of a ventilation apparatus and an air-conditioning apparatus; and a computing device to generate a control command controlling the ventilation and the air-conditioning apparatus based on the stored data. The computing unit includes: a ventilation air volume correction coefficient generator to generate a ventilation air volume correction coefficient for correcting a set ventilation air volume based on operation conditions and previous operation data of the ventilation and the air-conditioning apparatus; an operation state determination unit to correct the set ventilation air volume, obtained based on temporal fluctuation data of a carbon dioxide concentration and current operation data of the ventilation and the air-conditioning apparatus, with the ventilation air volume correction coefficient; and a control command generator to generate the control command based on the set ventilation air volume corrected by the operation state determination unit.

Air-conditioning system control apparatus and air-conditioning system

An indoor environment model creation device is configured to create an indoor environment model of an indoor space in which air-conditioning equipment configured to condition air, an indoor humidity sensor configured to measure an indoor humidity of the indoor space, and a COsensor configured to measure a COconcentration in the indoor space are installed. The indoor environment model includes a plurality of physics models in which heat, moisture, and COconcentration parameters are included. The indoor environment model creation device includes: a data storage unit configured to store operation data of the air-conditioning equipment in a learning target period as learning-use input data, and store measurement data measured by the COsensor and the humidity sensor; and a model parameter learning unit configured to comprehensively learn the plurality of physics models with use of the learning-use input data and the measurement data, which are stored in the data storage unit.

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Chiyoda-ku, Japan

Masae Sawada