Heat Loss Coefficient Determination Using Transient Thermal Response
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Solution Overview
Problem
Current methods for determining the heat loss coefficient of a room are either cumbersome and theoretical or require lengthy, expensive in-situ measurements, failing to account for real-world parameters such as insulation implementation and construction technology.
Innovation Solution
A method involving short-term temperature measurements in an unoccupied room under controlled conditions, analyzing temperature evolution using simple mathematical models to quickly and accurately determine the heat loss coefficient, incorporating transient variations and external environmental factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If calculation software is used to determine the heat loss coefficient, then the determination can be performed quickly, but the result is only theoretical and does not account for real parameters such as insulation implementation and construction technology
Solution Approach 1:
The room itself serves as the measurement device by utilizing its natural thermal response to controlled heating inputs. The room's own thermal characteristics (heat capacity, insulation properties) are exploited to determine the heat loss coefficient, eliminating the need for external complex measurement equipment while obtaining real-world accurate results that account for actual construction and insulation implementation
2Measurement precision
If in situ measurement methods are used to determine the heat loss coefficient, then real parameters are taken into account, but the measurements are long and involve heavy and expensive equipment
Solution Approach 1:
The method uses periodic heating actions (applying heating power in cycles) to the room and measuring the thermal response during these periodic cycles. This allows determination of the heat loss coefficient in a short time (a few hours) by analyzing the room's thermal response to repeated heating and cooling cycles, rather than requiring continuous long-term measurements
Solution Approach 2:
The method extracts only the essential thermal response data needed (temperature evolution during controlled heating) from the complex real-world measurement scenario. By focusing on the fundamental thermal relationship between heating power, temperature change, and time, the method eliminates the need for heavy equipment and extensive measurement protocols while maintaining accuracy
3Measurement precision
If long-term measurements are conducted to account for meteorological conditions and occupation, then comprehensive data is obtained, but the process becomes lengthy and complex
Solution Approach 1:
The method performs preliminary controlled heating actions to actively induce thermal response in the room before measurement. By pre-applying known heating power and controlling the thermal input, the method eliminates the need to wait for natural thermal variations due to meteorological conditions or occupation, thereby simplifying the measurement process while maintaining comprehensive thermal behavior analysis
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for a rapid, precise, and cost-effective determination of the heat loss coefficient, minimizing the influence of occupancy and climatic conditions, thereby overcoming the limitations of existing methods.
Implementation Method 1
a campaign of measurements of at least one temperature inside the room is carried out in the unoccupied room tik at short intervals of time, over at least two periods of time Dk successive corresponding to powers Pearlyk separate space heating
Implementation Method 2
The value of the interior temperature tik of the room is determined at close time intervals over at least two periods of time Dk successive
Implementation Method 3
from the evolution tik(t) of the value tik as a function of time, this evolution is quantitatively analyzed using a simple mathematical model
Data Source
AI summary
The invention relates to a method for determining the heat loss coefficient K of a premises, comprising the following steps: in the unoccupied premises, taking a series of measurements of at least one temperature inside the premises T ik at short time intervals over at least two successive time periods D k corresponding to different heating power values Ptot k for the premises; determining the temperature of the outside air T ek at the aforementioned short time intervals; for each period of time D k , based on the change T ik (t) in value T ik as a function of time, selecting a time interval ?t k for which the change T ik (t) is substantially linear, and, subsequently, over time interval ?t k , determining the slope a k of the tangent to the curb T ik (t) and deducing the value of the heat loss coefficient K of the premises on the basis of slopes a k .


