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It is not the first year that many people have been concerned about the organization of heating in our homes. Temperature changes in the off-season are especially sensitive, both in the direction of decreasing and increasing the temperature regime.

In addition, "temperature dips" in winter have become not uncommon, and the number of accidents at boiler houses has increased. In case of incorrect thermoregulation of premises , the main problems are 2:

  1. 1. Lack of heat in apartments at the beginning and end of the heating season leads to freezing of houses, as a result of which the number of diseases from hypothermia increases, especially children are sick at this time. In addition, electricity consumption increases significantly due to the use of heating appliances.
  2. 2. Excessive heat during the operation of the system forces people to keep the windows open quite often, thereby "weathering" both their own money for heating and budget ones. In most cases, it is sufficient to set a temperature graph at the control circuits, depending on the outdoor temperature.

In this regard, the issue of weather-dependent heating control is very relevant. It is natural for a person to strive for comfort, and in our reality, also for economy. And the ability to adjust the "weather at home" without direct human intervention is quite a tangible plus.

How, for example, is weather-dependent management implemented in an individual heating point of a modern apartment building?

The control is carried out using certain software and hardware that implement a given algorithm for temperature stabilization in thermal circuits.  This algorithm seems to be simple: when the temperature decreases outside, the temperature in the room should rise, and vice versa. But this regulation has its own peculiarities. One of them is lag (inertia). Warm floors and walls do not cool down quickly, cold ones do not heat up. Sometimes the temperature change can reach up to two hours.

The weather-dependent control system is designed to reduce the inertia time of automation of the equipment of thermal points. Parameters by which it is necessary to set the temperature stabilization algorithm: external temperature, direct and return water temperature. Depending on these values, a table of relationships is built, at which the set values on the building contours (hot water, heating, ventilation, etc.) change.

And then our main question arises - what is the price? Of course, if we talk about installing the system within the city, the amount may seem quite large. However, all costs are quickly recouped by saving resources. For apartment buildings, installation on the entrance will be relevant: it is both easier and cheaper, while the payment structure will remain.

Now it's time to talk about individual housing construction.

In recent years, the number of cottages and townhouses has increased significantly. As a rule, in such houses the heating is autonomous. However, the problem of heating organization is also relevant for them. There may be situations of uneven heating of rooms: when it is stuffy in one room and cold in the other, especially for large rooms. In fact, the same problems arise as in apartment buildings.  Hence the conclusion that the weather-dependent control system is not just a nice bonus, but also an elementary necessity.

If we talk about a room with an area of up to 200 sq.m., then this system will still be most relevant within the framework of the Smart Home project. This type of automation is now actively developing and shows itself very well precisely for saving money. Of course, some monetary investments are needed first, but in the future, savings on heating alone will be up to 30% on average.

A solution option may be the use of Aries equipment, modern management, storage and recording of OvenCloud data. Thus, it is possible to collect information from sites such as Gismeteo.ru , transmit the values of the predicted temperature values to the controller, which provides regulation. Taking into account the predicted temperature value, it is possible to calculate correction coefficients for the control task. This will ensure shock-free, inertia-adjusted temperature control in the contours of the residential building. Temperature changes will cease to be noticeable, and it will be, so we all achieve the necessary comfort and coziness.

Below are two graphs (temperature values) of the current and predicted three hours ago. We collect temperature data via the API function from the site Gismeteo.ru and we can use this data, including when calculating tables of set values (setpoints) to regulate the contours of your structure. There is a possibility of transmitting weather forecast data to the equipment using OWNCLOUD technology.The difference between the expected and the current is clearly visible. For example , we took D. Alachkovo, Moscow region.

Temperature in Alachkovo

6.7

Predicted temperature in Alachkovo

3.7

#Weather-DependentRegulation, #OWENCLOUD
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