Heating Curve 1.2: Theoretical Approach to Reduce Heating Costs by 10% Without Integration

Hello,
My question is purely theoretical. I'm not sure if it's the right bookmark, but let's try.

I need information, as in an engineering way (because it is possible to calculate mathematically this integral) how to move the curve of the heating curve to reduce the heating costs by a specific%.
I assume that the field under the curve graph determines the heating costs. Let's say I choose a heating curve of 1.2 and I want to move it so that the heating cost is reduced by 10%. Is there any simple way to do this without resorting to integration?

Thank you in advance for your response!

I think you have a bad attitude.
As for me, the heating curve is not used to reduce heating costs, but to optimize the heating process of your apartment / house.
If you manage to choose the optimal heating curve suited to the specificity of your home / home and your sense of comfort, this will also result in cost optimization.

The building needs X energy to warm it up and maintain a certain temperature in the rooms and no heating curve will change this demand.
The more your heating system is "out of control", the more savings you will get by choosing a heating curve that matches the characteristics of your home / house.
For this reason, there is no simple type dependency of the Y curve, you will save 10%, because each case should be treated individually.
Do you want tangible savings then do a thermo-modernization or lower the temperature in the rooms. Only when the first one always remains the question after how many years will be the cost of investment in reduced bills, and at the second if you accept a lower thermal comfort than before.

For a layman, choosing a heating curve is basically a trial and error method and searching for a golden mean.

What do you heat?
Tech, can it be a solid fuel boiler? Carbon?

As I wrote earlier, the problem is only theoretical, I do not want to change the settings of any existing installation.

I mean only if there is any dependence or way of calculating that when I want to change the heating costs by a certain percentage (i.e., the area under the curve), how then should I choose a new heating curve in relation to a previously selected one? The only question is whether it can be done in a simple way, or only by integrating, because maybe some engineering trick is missing me.

And this curve from the textile was supposed to be purely demonstrative, I'm sorry, I could choose one without the signature of the company, so as not to be mislead.

Theoretically yes, but the assumption that only the outside temperature is taken into the curve causes the result to be very coarse, certainly not on a single percentage. There is a difference between -5 and -5 and 40-50km / h wind. And this curve does not take into account. Unless there is a measurement of wind power and the wind-chill factor is calculated - I do not believe in any such existing installation. And it's not so difficult to calculate only you need an anemometer, there is a simple pattern.

michcior wrote:

Unless there is a measurement of wind power and the wind-chill factor is calculated - I do not believe in any such existing installation. And it's not so difficult to calculate only you need an anemometer, there is a simple pattern.

As far as I understand this, you do not believe in a home installation with a sunny weather that additionally takes into account the strength of the wind.
In which case, what would be the point of making calculations if the weather is variable and the wind strength is never constant?
I think that you always have to take up some roundings and get over certain costs.
Below a certain level of costs, you can not go down.

I understood the author's post that she bears the X costs for heating, and then states that it is too much and wants to reduce these costs by, for example, 10% and now what curve she should choose to obtain these 10% savings.
For me, this assumption is pointless, because if you manage to set the most optimal heating curve then there is no option to reduce costs without changing the comfort, so it remains to be noted that the heating of a given apartment is associated with such and not other costs .
In turn, it's probably not for everyone to buy drivers to make nonstop adjustments. At the beginning it is so to know in practice how it works, what are dependencies, how it more or less affects comfort, to determine the most optimal settings possible. But then most of them are expecting the effect of turning on a gas boiler and I am enjoying a warm apartment / home, and I spend my time with my family, hobby, etc.

cassana22 wrote:

I assume that the field under the curve graph determines the heating costs

I do not confirm; it does not contain time and flow.

cassana22 wrote:

is there any dependence or calculation method that when I want to change the heating costs by a certain percentage (and therefore the area under the curve), how then should I choose a new heating curve in relation to a previously selected one? The only question is whether it can be done in a simple way or only by integrating .

I do not see such dependence; also by integration.

In the Polish climate, reducing the indoor temperature by 1 degree saves about 5% on heating. Of course, this is a certain simplification, but if the rate is around 20 degrees at home + -2 degrees, the dependence of 5% on the 1st level is sufficient to reflect savings. In other words, at +18 degrees, we save 10% on fuel, and at 22 degrees we spend 10% more on heating the house.

cassana22 wrote:

My question is purely theoretical. I'm not sure if it's the right bookmark, but let's try.

Probably not. Colleagues did not answer your question.
Look further.