Decision-making method and system for regulation and control time of temperature control system

Abstract

The invention provides a decision-making method and a system for the regulation and control moment of a temperature control system. The method comprises the following steps: building a house cold andhot characteristic equivalent model, and determining the coupling relationship between outdoor temperature, heating capacity or refrigerating capacity and indoor temperature; calculating real-time room temperature by combining hourly weather forecast and real-time load capacity based on the coupling relationship; taking a preset temperature range as a standard, judging whether the real-time room temperature is within the temperature range or not, and starting to change the output plan of each piece of equipment at the moment if the room temperature is not within the temperature range so that the indoor temperature tends to be within the temperature range. According to the method, the phenomenon that the optimization time of the temperature control equipment is set as a fixed value by taking an empirical value as a guide in the existing theory is changed; the situation that the optimization time cannot meet the user requirements or resources are wasted is prevented; the indoor temperature is kept within the human body comfortable temperature range according to the theoretical model; and the persuasion of a time-scale rolling optimization operation strategy is further improved.

Description

technical field [0001] The disclosure belongs to the fields of environmental protection and energy, and in particular relates to a decision-making method and system for regulating time of a temperature control system. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] Energy shortages and environmental pollution are becoming more and more serious in today's world, and the situation of energy conservation and emission reduction faced by our country should not be underestimated. In order to promote the harmonious development of people and the environment, it is necessary to vigorously promote the development of distributed energy. Among many distributed energy sources, the combined cooling, heating and power system using renewable energy has attracted much attention. [0004] At present, the well-developed optimization method of combined cool...

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Problems solved by technology

[0006] According to the knowledge of the inventor, most of the time-scale rolling optimization operation strategies in the existing literature set the optimization time scale of non-electric energy such as cold energy and heat energy as a fixed value (ranging from 15min to 2h), and the fixed value is guided by experience. Unable to determine the most suitable control period

And because the essence of cold energy and heat energy is to obtain or maintain a certain temperature within a period of time, that is, to allow the temperature to fluctuate within a certain range, there may be two situations in the existing fixed value optimization method: 1. Optimizing time If the scale is too short, it will waste resources when optimizing at a stage that does not need optimization; 2. The optimization time scale is too long, without considering the impact of load fluctuations on the fixed value period, and cannot meet user needs

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