A high-low temperature heat pump optimization configuration method suitable for industrial waste heat recovery
By fitting the COP parameter curves of high and low temperature heat pumps and constructing a computational model, the optimal configuration scheme of high and low temperature heat pumps is generated using a multi-objective particle swarm optimization algorithm. This solves the problem of high and low temperature heat pump configuration optimization and achieves efficient recovery of industrial waste heat and cost reduction.
Patent Information
- Application Number
- CN202111231835.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2021-10-22
- Publication Date
- 2025-12-05
- Estimated Expiration
- 2041-10-22
AI Technical Summary
Optimizing the configuration of high and low temperature heat pumps to effectively recover industrial waste heat while reducing costs and meeting production process requirements is a challenge that current technologies struggle to achieve simultaneously.
By fitting the COP parameter curves of high and low temperature heat pumps, a calculation model for construction costs and economic operation is constructed, constraints are set, and the optimal configuration scheme is generated using a multi-objective particle swarm optimization algorithm.
The optimized configuration of high and low temperature heat pumps has been achieved, which has improved the overall energy utilization efficiency and reduced the cost of industrial waste heat recovery.
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Figure CN113901669B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The application belongs to the technical field of industrial energy saving, and particularly relates to a high-low temperature heat pump optimization configuration method suitable for industrial waste heat recovery. BACKGROUND
[0002] Under the background of the "carbon peak and carbon neutral" goal, implementing energy saving and carbon reduction is the key support to achieve the double carbon goal. In the production heating process of traditional metallurgical, chemical, food and other industrial enterprises, a large amount of low-temperature waste heat is often discharged, causing great energy waste. Heat pump technology can recover and reuse low-temperature waste heat, improving the comprehensive utilization efficiency of energy. The heat production temperature of conventional low-temperature heat pump units is about 50 DEG C, and part of the high-temperature heat pump can reach more than 80 DEG C. The low-temperature heat pump has a lower cost but a lower heat production temperature, and often cannot meet the requirements of the production process. The high-temperature heat pump can meet the requirements of the production process, but the manufacturing cost is often high. How to optimize the configuration of high and low temperature heat pumps has become a problem to be solved in the field of industrial waste heat recovery. SUMMARY
[0003] The purpose of the present application is to overcome the shortcomings of the prior art, and to provide a high-low temperature heat pump optimization configuration method suitable for industrial waste heat recovery, which can solve the problem of high-low temperature heat pump configuration optimization by configuring high-low temperature heat pumps for industrial waste heat recovery.
[0004] The technical problem of the present application is solved by adopting the following technical scheme:
[0005] A high-low temperature heat pump optimization configuration method suitable for industrial waste heat recovery comprises the following steps:
[0006] Step 1: fitting the high-low temperature heat pump-COP parameter curve according to the high-low temperature heat pump temperature-COP parameter curve provided by the heat pump manufacturer;
[0007] Step 2: constructing a construction cost calculation model and an economic operation calculation model of the high-low temperature heat pump system according to the fitting result of step 1;
[0008] Step 3: setting a constraint condition according to the construction cost calculation model and the economic operation calculation model established in step 2;
[0009] Step 4: establishing a multi-objective optimization model considering the construction cost and economic operation of the high-low temperature heat pump according to the construction cost calculation model and the economic operation calculation model established in step 2 and the constraint condition set in step 3;
[0010] Step 5: generating an optimal configuration scheme of the capacity of the high-low temperature heat pump by continuously iterating the variation rule of the multi-objective particle swarm optimization algorithm.
[0011] Moreover, the specific implementation method of step 1 is: according to the heat pump temperature-COP parameter curve provided by the heat pump manufacturer, the least square method is used for curve fitting, and the high and low temperature heat pump temperature-COP functions f 高温 (t) and f 低温 (t) are obtained respectively.
[0012] Moreover, the construction cost calculation model in step 2 is:
[0013] f1=C 高温 P 高温 +C 低温 P 低温
[0014] Wherein, C 高温 is the unit capacity configuration cost coefficient of high temperature heat pump, C 低温 is the unit capacity configuration cost coefficient of low temperature heat pump; P 高温 is the configuration capacity of high temperature heat pump, P 低温 is the configuration capacity of low temperature heat pump.
[0015] Moreover, the economic operation calculation model in step 2 is:
[0016] f2=(P 高温 +P 低温 )*T*P 原热值 -(P 高温 / COP 高温 +P 低温 / COP 低温 +P 水泵 )*T*P 改造后热值
[0017] Wherein, P 高温 is the configuration capacity of high temperature heat pump, P 低温 is the configuration capacity of low temperature heat pump, T is the operation time of high and low temperature heat pump system, P 原热值 is the cost of industrial enterprise to produce unit heat value in original way, P 改造后热值 is the cost of industrial enterprise to produce unit heat value after using high and low temperature heat pump waste heat recovery, COP 低温 is the COP of low temperature heat pump, which is determined by f 低温 (t) according to the evaporation side inlet water temperature t 低温 of low temperature heat pump, and is obtained according to the field measurement data, COP 高温 is the COP of high temperature heat pump, which is determined by f 高温 (t) according to the evaporation side inlet water temperature t 高温 of low temperature heat pump, and its calculation method is:
[0018] t 高温 =t低温 +P 低温 / Q 流量 / C 比热容
[0019] P 水泵 is the circulating water pump power, Q 流量 is the water flow of the low-temperature heat pump condensing side, C 比热容 is the specific heat capacity of water.
[0020] Moreover, the constraint conditions set in step 3 include:
[0021] The heat balance constraint: P 高温 +P 低温 ≤P 余热
[0022] The electricity balance constraint: P 高温 / COP 高温 +P 低温 / COP 低温 ≤P 电源
[0023] Wherein, P 高温 is the configuration capacity of the high-temperature heat pump, P 低温 is the configuration capacity of the low-temperature heat pump, P 余热 is the system available waste heat, COP 高温 is the COP of the high-temperature heat pump, COP 低温 is the COP of the low-temperature heat pump, P 电源 is the system power supply capacity.
[0024] Moreover, the multi-objective optimization model considering the construction cost and economic operation of the high and low temperature heat pumps established in step 4 is:
[0025] f = min (f1, -f2).
[0026] The advantages and positive effects of the present application are:
[0027] The present application fits the temperature-COP curve of the high and low temperature heat pumps by using the least square method; constructs the calculation model of the construction cost and the calculation model of the economic operation of the high and low temperature heat pump system; sets the constraint conditions of the operation process of the high and low temperature heat pumps for the model; constructs the multi-objective optimization model considering the construction cost and economic operation of the high and low temperature heat pumps, and finally obtains the optimized configuration scheme by using the multi-objective particle swarm optimization algorithm. The present application solves the configuration optimization problem of the high and low temperature heat pumps by configuring the high and low temperature heat pumps for industrial waste heat recovery. BRIEF DESCRIPTION OF DRAWINGS
[0028] Figure 1 is the application scenario diagram of the present application. DETAILED DESCRIPTION
[0029] The application will be further described in detail below with reference to the accompanying drawings.
[0030] A high-low temperature heat pump optimization configuration method suitable for industrial waste heat recovery is applied in a scene as shown in the figure. Figure 1 The high-low temperature heat pump for industrial waste heat recovery can solve the high-low temperature heat pump configuration optimization problem, which includes the following steps:
[0031] Step 1: According to the high-low temperature heat pump temperature-COP parameter curve provided by the heat pump manufacturer, the least square method is used to fit the high-low temperature heat pump-COP parameter curve.
[0032] According to the heat pump temperature-COP parameter curve provided by the heat pump manufacturer, the least square method is used to fit the curve, and the high-low temperature heat pump temperature-cop functions f 高温 (t) and f 低温 (t) are obtained, where t is the evaporation side temperature of the high-low temperature heat pump.
[0033] Step 2: According to the fitting results of step 1, the construction cost calculation model and the economic operation calculation model of the high-low temperature heat pump system are constructed.
[0034] The construction cost calculation model is:
[0035] f1=C 高温 P 高温 +C 低温 P 低温
[0036] The economic operation calculation model is:
[0037] f2=(P 高温 +P 低温 )*T*P 原热值 -(P 高温 / COP 高温 +P 低温 / COP 低温 +P 水泵 )*T*P 改造后热值
[0038] Where P 高温 is the configuration capacity of the high-temperature heat pump, P 低温 is the configuration capacity of the low-temperature heat pump, T is the operation time of the high-low temperature heat pump system, P 原热值 is the cost of the industrial enterprise to produce unit heat value in the original way, P 改造后热值 is the cost of the industrial enterprise to produce unit heat value after adopting the high-low temperature heat pump waste heat recovery, COP 低温 is the COP of the low-temperature heat pump, which is obtained from f 低温 (t) according to the evaporation side inlet water temperature t 低温And according to the field measurement data, COP 高温 COP of high-temperature heat pump, f 高温 (t) according to the low-temperature heat pump evaporator inlet water temperature t 高温 And its calculation method is:
[0039] t 高温 =t 低温 +P 低温 / Q 流量 / C 比热容
[0040] P 水泵 is the circulating water pump power, Q 流量 is the low-temperature heat pump condenser water flow, C 比热容 is the specific heat capacity of water
[0041] Step 3, according to the construction cost calculation model and economic operation calculation model established in step 2, set up constraints.
[0042] Heat balance constraint: P 高温 +P 低温 ≤P 余热
[0043] Electricity balance constraint: P 高温 / COP 高温 +P 低温 / COP 低温 ≤P 电源
[0044] Where, P 高温 is the configuration capacity of high-temperature heat pump, P 低温 is the configuration capacity of low-temperature heat pump, P 余热 is the system available heat, COP 高温 is the COP of high-temperature heat pump, COP 低温 is the COP of low-temperature heat pump, P 电源 is the system power supply capacity.
[0045] Step 4, according to the construction cost calculation model and economic operation calculation model established in step 2 and the constraints set up in step 3, a multi-objective optimization model considering the construction cost and economic operation of high and low temperature heat pump is established:
[0046] f = min (f1, -f2).
[0047] Step 5, the optimal configuration scheme of high and low temperature heat pump capacity is obtained by using multi-objective particle swarm optimization algorithm. The change rule is generated by continuous iteration.
[0048] It should be emphasized that the embodiments of the present application are illustrative only and not restrictive, thus the present application includes and is not limited to the embodiments described in the specific embodiments, any other embodiments derived by those skilled in the art according to the technical solutions of the present application also belong to the scope of protection of the present application.
Claims
1. A method for optimizing configuration of high and low temperature heat pumps suitable for industrial waste heat recovery, characterized in that: Comprise the following steps: Step 1, according to the high and low temperature heat pump temperature-COP parameter curve provided by the heat pump manufacturer, the high and low temperature heat pump-COP parameter curve is fitted; Step 2, according to the fitting result of step 1, the construction cost calculation model and the economic operation calculation model of the high and low temperature heat pump system are constructed; The construction cost calculation model in step 2 is: f1 = C 高温 P 高温 +C 低温 P 低温 wherein C 高温 is the unit capacity configuration cost coefficient of the high-temperature heat pump, 低温 is the unit capacity configuration cost coefficient of the low-temperature heat pump; P 高温 is the configuration capacity of the high-temperature heat pump, 低温 is the configuration capacity of the low-temperature heat pump; The economic operation calculation model in step 2 is: f2 = (P 高温 + P 低温 )* T* P 原热值 - (P 高温 / COP 高温 + P 低温 / COP 低温 + P 水泵 )* T* P 改造后热值 Wherein, P 高温 is the configuration capacity of the high-temperature heat pump, P 低温 is the configuration capacity of the low-temperature heat pump, T is the operation time of the high-low temperature heat pump system, P 原热值 is the cost of the industrial enterprise to produce unit heat value in the original way, P 改造后热值 is the cost of the industrial enterprise to produce unit heat value after adopting the high-low temperature heat pump waste heat recovery, COP 低温 is the COP of the low-temperature heat pump, which is determined according to f 低温 (t) according to the inlet water temperature t 低温 of the evaporation side of the low-temperature heat pump, and is obtained according to the measured data on the spot, COP 高温 is the COP of the high-temperature heat pump, which is determined according to f 高温 (t) according to the inlet water temperature t 高温 of the evaporation side of the low-temperature heat pump, and the calculation method is as follows: t 高温 = t 低温 + P 低温 / Q 流量 / C 比热容 P 水泵 Q is the flow rate of the water through the heat exchanger; Q 流量 C is the flow rate of the water through the low temperature heat pump condenser side; C 比热容 Cp is the specific heat capacity of water; Step 3, according to the construction cost calculation model and the economic operation calculation model established in step 2, the constraint condition is set; The constraint condition set in step 3 includes: Heat balance constraint: P 高温 +P 低温 ≤P 余热 Level balance constraint: P 高温 / COP 高温 +P 低温 / COP 低温 ≤P 电源 where P 高温 is the configuration capacity of the high-temperature heat pump, P 低温 is the configuration capacity of the low-temperature heat pump, P 余热 is the surplus heat amount available to the system, COP 高温 is the COP of the high-temperature heat pump, COP 低温 is the COP of the low-temperature heat pump, P 电源 is the power supply capacity of the system; Step 4, according to the construction cost calculation model and the economic operation calculation model established in step 2 and the constraint condition set in step 3, the multi-objective optimization model considering the construction cost and economic operation of high and low temperature heat pump is established; The multi-objective optimization model considering the construction cost and economic operation of high and low temperature heat pump established in step 4 is: f=min(f1,-f2) Step 5, the optimal configuration scheme of the capacity of high and low temperature heat pump is generated by continuously iterating by using the variation rule of multi-objective particle swarm optimization algorithm.
2. The method of claim 1, wherein the method is characterized in that: The specific implementation method of step 1 is: according to the heat pump temperature-COP parameter curve provided by the heat pump manufacturer, the least square method is used for curve fitting, and the high and low temperature heat pump temperature-COP functions f 高温 (t) and f 低温 (t) are obtained respectively, wherein t is the evaporation side temperature of the high and low temperature heat pump.
Citation Information
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