The quantitative regulation of the heat supply process has a number of significant advantages and is widely used abroad. This method of regulation is also used in the Russian Federation. At the same time, the algorithmization of quantitative regulation is currently still quite problematic and requires further development. For example, the literature data on the algorithm proposed by E.Ya. Sokolov are characterized by the “omission” of the procedures of inference and justification, which is particularly undesirable for educational applications. In addition, the algorithm does not work across the entire range of thermal loads (outside temperatures). Purpose of the study. To develop an algorithm for quantitative regulation in terms of its subsequent use as part of the algorithmic support of an automated control system (ACS) for heat supply. Materials and methods. Literature data on the issue under consideration was analyzed. Using models of heating systems and heat losses of buildings, we compiled a balance equation that makes it possible to find the necessary coolant flow for heating. Results. A detailed substantiation and derivation of the algorithm for quantitative regulation of heat supply according to the heating load is proposed, and its characteristics were analyzed. The conditions for the physical feasibility of heating are taken into account. The algorithm as a whole is represented by a two-interval formula; in the second range of outdoor temperatures, the heat carrier flow rate is calculated based on the condition that the return water temperature should be noticeably higher than the indoor air temperature of the heated premises. However, when regulating the heat carrier flow in the second interval, an overestimated power of the heating system will be observed, i. e. some overshoot is possible. It is shown that with an increase in the minimum allowable value of the return water temperature, the range of outdoor temperatures in which regulation is possible in the first interval (ideal regulation without overflow) noticeably narrows, and when the water temperature in the supply line decreases, conversely, it expands. Conclusion. The results of the work can be used to develop algorithmic support for automated control systems for heat supply.