Intelligent low-carbon electric heat tracing system and application
Through the intelligent low-carbon electrical heat tracing system, wind energy and light energy are used as the main sources, combined with industrial power and energy storage management, the problems of high energy consumption and high carbon emissions of traditional electrical heat tracing systems are solved, and the low-carbon and efficient operation of the electrical heat tracing system in chemical devices is achieved.
Patent Information
- Application Number
- CN202311315332.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-10-11
- Publication Date
- 2025-04-11
AI Technical Summary
Traditional electric heat tracing systems have problems with high energy consumption and high carbon emissions in chemical equipment, which leads to their lack of large-scale use in chemical equipment construction.
The intelligent low-carbon electrical heat tracing system is adopted, through the combination of wind turbines, photovoltaic power plates, external power grids, energy storage units and control systems, and renewable energy (wind and light energy) are used as the main source and industrial power as the auxiliary to realize the rational configuration of the power supply of the electrical heat tracing system, and precise prediction and energy storage management are carried out through grid temperature monitoring and regulation and meteorological prediction data access.
The electricity consumption of electric heating systems is nearly 100% used for renewable energy, reducing dependence on thermal power and carbon emission indicators, thereby reducing operating energy consumption costs.
Smart Images
Figure CN119813274A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the field of chemical equipment, and in particular relates to an intelligent low-carbon electric heating system and its application. Background Art
[0002] Electric heat tracing system is a commonly used heat tracing and heat preservation method in chemical plants. Even if the high-temperature pipes and equipment in chemical plants have thermal insulation layers, they will dissipate part of the heat into the environment through air contact heat dissipation, thermal radiation, etc., resulting in heat loss.
[0003] The electric heating system mainly uses the electric heating effect of the heating conductor installed between the pipeline, equipment and the insulation layer, and cooperates with the corresponding thermal sensors and control cabinets to supplement the heat loss of specific pipelines and equipment in the chemical plant, so as to achieve the effect of maintaining the temperature required by the process.
[0004] Traditional electric heating systems use industrial electricity generated by chemical parks or factories, that is, most of the electricity comes from thermal power plants. While the use of electricity causes high energy consumption, there is also the problem of high carbon emissions. Therefore, the cost of use has no advantage over steam heating.
[0005] Except for devices where the production process has very high requirements for maintaining the temperature of pipeline equipment, traditional electric heating systems are generally not used on a large scale in the construction of chemical plants. The main reason is that electric heating systems consume electrical energy and convert it into thermal energy using the electrothermal effect. The price per unit of energy is much higher than steam heating, and the operating energy consumption cost is high. Summary of the invention
[0006] The purpose of the present invention is to solve the difficulties existing in the above-mentioned prior art, and to provide an intelligent low-carbon electric heating system and application, which mainly uses green and low-carbon electricity converted from renewable energy such as wind energy and solar energy, and supplemented by industrial electricity (thermal power), to reasonably configure the power supply of the electric heating system and realize the green and low-carbon source of electricity. Through grid-based temperature monitoring and regulation of each electric heating location, accurate scheduling of each electric heating user point can be achieved. At the same time, by connecting meteorological forecast data to the electric heating system, accurate predictions can be made on the future short-term electric heating demand, wind energy supply, and solar energy supply, so that energy storage units can be used to reserve electricity in advance to cope with different peak and valley loads on the electricity consumption side and peak and valley loads on the energy supply side.
[0007] The present invention is achieved through the following technical solutions:
[0008] The first aspect of the present invention provides an intelligent low-carbon electric heating system, the system comprising: a wind turbine, a photovoltaic panel, an external power grid, an energy storage unit, a control system, an electric heating element, and a user point temperature sensor;
[0009] The wind turbine, photovoltaic panels, and external power grid are respectively connected to the energy storage unit;
[0010] The energy storage unit, the electric heating element and the user point temperature sensor are respectively connected to the control system.
[0011] Preferably, the total installed capacity of the wind turbine and the photovoltaic panels is greater than the energy load required by the electric heating element.
[0012] Preferably, the energy storage unit stores excess wind power and photovoltaic power generated by wind turbines and photovoltaic panels, and stores electrical energy from an external power grid in advance based on predictions of an energy supply model and an energy consumption model to make up for the shortfall in wind power and photovoltaic power.
[0013] Preferably, the control system collects the measured temperature sent by the temperature sensor at each user point in real time;
[0014] If the measured temperature is lower than the temperature setting value at the user point, the control system controls the electric heating element at the user point to be energized;
[0015] If the measured temperature is greater than or equal to the temperature setting value of the user point, the control system controls the electric heating element at the user point to cut off the power.
[0016] Preferably, the control system receives weather forecast information and predicts energy load within a future set time period;
[0017] If the energy load is lower than the wind and solar energy load, the energy storage unit is controlled to store excess wind power and photovoltaic power;
[0018] If the energy load is higher than the wind and solar energy supply load, the external power grid will be controlled to charge the energy storage unit in advance during the trough period of electricity prices.
[0019] Preferably, the control system supplies a portion of the wind power and photovoltaic power directly to the electric heating element, and stores the other portion of the wind power and photovoltaic power in the energy storage unit.
[0020] Preferably, the control system stores all wind power and photovoltaic power in an energy storage unit, which then supplies power to the electric heating element.
[0021] Preferably, the energy storage unit is a lithium battery, a sodium battery, or a flow battery.
[0022] The second aspect of the present invention provides the application of the above-mentioned intelligent low-carbon electric heating system in the production of bisphenol A.
[0023] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention analyzes the electricity consumption characteristics of the electric heating system, designs matching wind power and photovoltaic power generation ends according to the average energy consumption curve, and configures energy storage units of certain specifications according to the peak and trough time fluctuation characteristics of the energy consumption and power generation ends, so as to achieve the goal of using nearly 100% renewable energy for electric heating, thereby reducing the dependence of the electric heating system on thermal power and reducing the carbon emission indicators of the heating system. BRIEF DESCRIPTION OF THE DRAWINGS
[0024] Figure 1 A schematic diagram of the structure of the system of the present invention. DETAILED DESCRIPTION
[0025] The present invention is further described in detail below in conjunction with the accompanying drawings:
[0026] like Figure 1 As shown, the present invention provides an intelligent low-carbon electric heating system, which includes: a wind turbine, a photovoltaic panel, an external power grid, an energy storage unit, a control system, an electric heating element (an existing product, which will not be described in detail here), and a user point temperature sensor (an existing product, which will not be described in detail here). Specifically, the wind turbine, the photovoltaic panel, and the external power grid are respectively connected to the energy storage unit, and the energy storage unit, the electric heating element, and the user point temperature sensor are respectively connected to the control system. Figure 1 The solid line represents energy transmission, and the dotted line represents signal transmission.
[0027] Embodiments of the present invention are as follows:
[0028] Embodiment 1:
[0029] Wind turbines, photovoltaic panels, and external power grids (all existing products) form the energy supply end, with wind power and photovoltaic power generation as the main ones, and the external power grid as supplementary power to cope with the imbalance of loads on the energy supply side and the energy consumption side. The total installed capacity of wind turbines plus photovoltaic panels is greater than the daily energy load required by the electric heating element. Therefore, the charging and discharging function of the energy storage unit is used to smooth the peaks of wind power and photovoltaic power. When the external power grid cannot meet the charging demand for a long time due to wind power and photovoltaic power, the energy storage unit reserves power from the external power grid in advance or directly uses the external power grid for energy supply, thus realizing the main use of wind power and photovoltaic power, and the external power grid as a supplement.
[0030] The energy storage unit is responsible for storing excess wind power and photovoltaic power, and can store electricity from the external power grid in advance according to the prediction of the energy supply model and energy consumption model to make up for the shortage of wind power and photovoltaic power. The energy storage unit can adopt various existing energy storage unit types, such as lithium batteries, sodium batteries, flow batteries, etc.
[0031] Specifically, the control system divides the power of wind turbines and photovoltaic panels, with a portion of wind power and photovoltaic power directly supplied to the electric heating element, and a portion of wind power and photovoltaic power stored in the energy storage unit; or, the control system controls all wind power and photovoltaic power to be stored in the energy storage unit, and then the energy storage unit supplies power to the electric heating element. You can choose which of the above methods to use according to your needs or the technical level of power management.
[0032] The energy supply model is a model established based on the power generation characteristics of wind turbines and photovoltaic panels. The power generation of wind turbines is based on wind speed, and the power generation of photovoltaic panels is based on sunshine parameters and cloud distribution. The input parameters of the functional model are meteorological forecast information. The energy supply model can adopt existing models, which will not be elaborated here.
[0033] The energy consumption model is a model established based on the analysis of the user behavior of the device, that is, a heat loss model established according to the production capacity characteristics, ambient temperature, and wind speed of the device (for details, please refer to "Analysis of Multi-energy Complementarity and Carbon Emission Reduction of Bisphenol A Device" (Chemical and Pharmaceutical Engineering, June 2023, ISSN 2095-817X).
[0034] Embodiment 2:
[0035] The control system receives the signal (i.e., the measured temperature) sent by the temperature sensor at the user point, and controls the energy storage unit to supply power to the electric heating element in combination with the process parameter requirements of the device, thereby controlling the heating value of the electric heating element. Specifically, for each user point, the temperature sensor returns the measured temperature, i.e., the actual temperature of the user point to be heated. If the measured temperature is lower than the temperature setting value of the user point, the control system controls the electric heating element at the user point to be powered on. If the measured temperature is greater than or equal to the temperature setting value of the user point, the control system controls the electric heating element at the user point to be powered off. In this way, the control system controls the switch (i.e., power on and power off) of the electric heating element at the user point to realize the control of the electric heating element at each user point. That is, the control system collects the information of each temperature sensor in real time, and controls the on and off of each electric heating element in real time.
[0036] Embodiment 3:
[0037] The control system receives weather forecast information (weather forecast information can be obtained through external government weather stations, which are paid or free public data), and calculates the heat loss of the device in the future set time period (according to the device production capacity characteristics, ambient temperature, wind speed, the heat loss model is established and the heat loss is calculated. These are all common knowledge in the field of chemical engineering design and will not be repeated here.), so as to predict the energy load in the future set time period (energy load = heat loss / heat generating body conversion coefficient). If the energy load is lower than the wind and solar energy load (that is, the energy that can be provided by photovoltaic panels plus wind turbines. At present, photovoltaic panels and wind turbines are generally equipped with solar irradiation instruments, wind speed, temperature and other on-site monitoring facilities, and they will also obtain weather station information to configure the prediction model, through which the wind and solar energy load can be obtained), the energy storage unit is controlled to store excess wind power and photovoltaic power (that is, when the power generation of wind turbines and photovoltaic panels is greater than the energy power, the excess power generation will charge the energy storage unit); if the energy load is higher than the wind and solar energy load, the external power grid is controlled to charge the energy storage unit in advance during the trough period of electricity prices. The uncertainty of wind power and photovoltaic power is generally measured in hours. The current typical prediction method is to use 24 hours as a prediction cycle, so the set time period can be one hour.
[0038] Embodiment 4:
[0039] The following example illustrates the application of the intelligent low-carbon electric heating system:
[0040] Electric heating elements are widely used in bisphenol A production equipment. In the production of bisphenol A, both phenol and adduct need to maintain a certain temperature (50-100°C). Once it is lower than the crystallization temperature, it will cause blockage in the pipeline, affecting normal operation. Therefore, the heating design of pipelines and equipment is a key factor in the production and operation of bisphenol A. The intelligent low-carbon electric heating system provided by the present invention is suitable for bisphenol A production equipment.
[0041] The average energy load of the electric heating design is 500kw. According to the wind and solar energy resource distribution information released by the Chinese Meteorological Department, the construction site of the device has abundant wind and solar energy, and has stored the seasonal fluctuation data of wind and solar energy for nearly 5 years. According to this, a 500kw wind turbine and a 400kw photovoltaic panel (i.e. a total installed capacity of 900kw) are configured, as well as a 350kw / 4000kw·h energy storage unit.
[0042] Taking pipeline electric heating as an example, different pipelines are set with different maintenance temperatures according to the concentration of bisphenol A in them. The control system can accurately control temperature-sensitive parts (related to the process medium characteristics and operating temperature. For example, if the operating temperature is close to the medium crystallization temperature, it is a sensitive part. If it is much different from the crystallization solidification temperature, it is an insensitive part). The temperature insensitive parts can be adjusted to a certain extent. That is, the temperature of sensitive parts is strictly controlled, and the electric heating temperature setting value of insensitive parts can be adjusted within a certain range. This realizes grid-based fine user-end control.
[0043] Based on the temperature and wind speed information in the meteorological forecast information, the control system can calculate the heat loss of the device under the corresponding temperature and wind speed, and then predict the electric heating load at different time periods in the future; based on the wind speed information, the wind turbine power generation can be predicted (the wind turbine power generation can be obtained according to the wind power density calculation method given in Appendix B of GB / 18710-2002 "Wind Energy Resource Assessment Method for Wind Farms"); based on information such as sunrise and sunset, the photovoltaic power generation can be predicted (the photovoltaic power generation can be obtained by using the existing neural network model and vector machine regression model used in the photovoltaic power generation field. At present, a photovoltaic power generation prediction calculation model will be established at the location when a photovoltaic power station is built, and the photovoltaic power generation can also be obtained using this model). The control system calculates the profit and loss of electricity generation and consumption of the wind-solar-electric storage heating system within a set time period in the future, and then plans in advance for the energy storage unit to store a certain amount of electricity (the stored electricity comes from the external power grid, and the electricity stored in advance is preferably the valley electricity at night) to fill the fluctuations in wind-solar power generation. At the same time, if wind power and photovoltaic power cannot cover extreme weather and production conditions, the external power grid is planned in advance to supplement electricity, thereby realizing green electricity substitution for 500kw of electricity consumption.
[0044] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "connected" and "connection" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.
[0045] In the description of the present invention, unless otherwise specified, the terms "upper", "lower", "left", "right", "inside", "outside", etc. indicate directions or positional relationships based on the directions or positional relationships shown in the accompanying drawings. They are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific direction, be constructed and operated in a specific direction. Therefore, they cannot be understood as limitations on the present invention.
[0046] The above technical solution is only one implementation mode of the present invention. For those skilled in the art, it is easy to make various types of improvements or modifications based on the principles disclosed in the present invention, and it is not limited to the technical solution described in the above specific embodiments of the present invention. Therefore, the above description is only preferred and does not have a restrictive meaning.
Claims
1. An intelligent low-carbon electric heating system, characterized in that: The system includes: a wind turbine, a photovoltaic panel, an external power grid, an energy storage unit, a control system, an electric heating element, and a user point temperature sensor; The wind turbine, photovoltaic panels, and external power grid are respectively connected to the energy storage unit; The energy storage unit, the electric heating element and the user point temperature sensor are respectively connected to the control system.
2. The intelligent low-carbon electric heating system according to claim 1 is characterized in that: The total installed capacity of wind turbines plus photovoltaic panels is greater than the energy load required by the electric heating element.
3. The intelligent low-carbon electric heating system according to claim 1 is characterized in that: The energy storage unit stores excess wind power and photovoltaic power generated by wind turbines and photovoltaic panels, and stores electricity from the external power grid in advance based on the predictions of the energy supply model and the energy consumption model to make up for the shortage of wind power and photovoltaic power.
4. The intelligent low-carbon electric heating system according to claim 1 is characterized in that: The control system collects the measured temperature sent by the temperature sensors at each user point in real time; If the measured temperature is lower than the temperature setting value at the user point, the control system controls the electric heating element at the user point to be energized; If the measured temperature is greater than or equal to the temperature setting value of the user point, the control system controls the electric heating element at the user point to cut off the power.
5. The intelligent low-carbon electric heating system according to claim 1 is characterized in that: The control system receives weather forecast information and predicts the energy load within a set time period in the future; If the energy load is lower than the wind and solar energy load, the energy storage unit is controlled to store excess wind power and photovoltaic power; If the energy load is higher than the wind and solar energy supply load, the external power grid will be controlled to charge the energy storage unit in advance during the trough period of electricity prices.
6. The intelligent low-carbon electric heating system according to claim 1 is characterized in that: The control system supplies part of the wind power and photovoltaic power directly to the electric heating element, and stores the other part of the wind power and photovoltaic power into the energy storage unit.
7. The intelligent low-carbon electric heating system according to claim 1 is characterized in that: The control system stores all wind power and photovoltaic power in the energy storage unit, which then supplies power to the electric heating element.
8. The intelligent low-carbon electric heating system according to claim 1 is characterized in that: The energy storage unit adopts a lithium battery, a sodium battery, or a flow battery.
9. Application of the intelligent low-carbon electric heating system according to any one of claims 1 to 8 in the production of bisphenol A.