CN109284872B - Solar integrated building multi-target operation optimization method - Google Patents
Solar integrated building multi-target operation optimization method Download PDFInfo
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Abstract
The invention discloses a solar energy integrated building multi-target operation optimization method. Performing sinusoidal processing on an energy consumption and efficiency target function of the solar integrated building to obtain an energy consumption and efficiency sinusoidal target function; the method comprises the steps of establishing a local energy consumption-operation and maintenance cost objective function and a local efficiency-operation and maintenance cost objective function, solving the derivatives of the two functions to the operation and maintenance cost sine objective function, and enabling the two derivatives to be equal to zero to obtain a solar energy integrated building multi-target real-time operation optimization result. The invention can improve the operation efficiency of the solar integrated building, reduce energy waste and reduce the operation and maintenance cost.
Description
Technical Field
The invention relates to a solar energy integrated building multi-target operation optimization method.
Background
Relevant researches show that the building becomes the second largest energy consumption field of the industry, the total energy consumption of the whole society is close to 30%, and a large optimization space exists in the building energy consumption by taking advantage of the economic development law of developed countries. Through organically integrating solar energy and building buildings, the solar building integrated system is developed vigorously, and considerable building energy consumption can be supplemented efficiently. Therefore, the solar energy building energy-saving energy-.
The solar building integrated system is a complex system, comprises a plurality of subsystems such as a solar heat collection system, a solar heat storage system, a hot water circulating system and a building energy consumption management system, and has the problems of high control difficulty, multiple optimization targets and the like. In the solar building integrated system, energy consumption, efficiency and operation and maintenance cost are the most important three technical indexes, and the key for realizing the multi-objective optimization operation of the solar building integrated system is to minimize a comprehensive objective function F containing the energy consumption, the efficiency and the operation and maintenance cost, namely:
F＝min(f1+f2+f3)
wherein: f. of110/N is the energy consumption objective function, f 250/X is the efficiency objective function, f3And the operation and maintenance cost objective function is represented as-10/C, and the energy consumption, the efficiency and the operation and maintenance cost of the solar integrated building are represented as N, X, C.
The above formula is an important theoretical basis for realizing multi-objective optimization operation of the solar building integrated system.
According to the analysis, the traditional logic control method is difficult to realize the efficient management and control of the solar building integrated system, and can not give consideration to a plurality of operation targets such as energy consumption, efficiency, operation and maintenance cost and the like. Therefore, there is an urgent need to find an operation optimization method for a solar building integrated system, which can not only ensure the stable operation of the solar building integrated system, but also realize the multi-objective coordination of energy consumption, efficiency and operation and maintenance cost.
Disclosure of Invention
In order to solve the problems, the invention provides a multi-target operation optimization method for a solar integrated building, which is characterized in that an objective function reflecting key performance indexes of the solar integrated building is established and is subjected to solving operation to obtain an optimal comprehensive objective function F applied to the operation of the solar integrated building, so that the efficiency of the solar integrated building can be improved, the energy consumption is reduced, and the system operation and maintenance cost can be reduced.
The technical scheme of the invention comprises the following steps:
1) respectively carrying out sinusoidal processing on an energy consumption objective function and an efficiency objective function of the solar integrated building to obtain an energy consumption sinusoidal objective function and an efficiency sinusoidal objective function;
2) constructing a local energy consumption-operation and maintenance cost objective function comprising an energy consumption sinusoidal objective function and an operation and maintenance cost objective function and a local efficiency-operation and maintenance cost objective function comprising an efficiency sinusoidal objective function and an operation and maintenance cost objective function;
3) respectively solving the derivative of the local energy consumption-operation and maintenance cost objective function to the operation and maintenance cost objective function and the derivative of the local efficiency-operation and maintenance cost objective function to the operation and maintenance cost objective function, enabling the two derivatives to be equal to zero, and solving to obtain an energy consumption objective function, an efficiency objective function and an operation and maintenance cost objective function, so that a comprehensive objective function F containing energy consumption, efficiency and operation and maintenance cost is minimized, and the solar integrated building multi-target operation optimization is realized.
The objective function f of energy consumption in step 1) is respectively calculated110/N, efficiency objective function f2The energy consumption sinusoidal objective function and the efficiency sinusoidal objective function obtained after the sine processing are 50/X, and are expressed by the following formulas:
f1t＝α1f3+β1
f2t＝α2f3+β2
wherein: n, X, C are energy consumption, efficiency, operation and maintenance cost parameters of the solar integrated building respectively, f3For the operating maintenance cost objective function, f3＝-10/C，α1、β1Respectively, an energy consumption objective function f1First and second constant parameters of (a)2、β2Respectively, the efficiency objective function f2T represents a sinusoidal sign, f1tRepresenting a sinusoidal objective function of the energy consumption after the sinusoidization, f2tRepresenting the sinusoidal objective function of the efficiency after the sinusoidization.
The local energy consumption-operation maintenance cost objective function F in the step 2)1And local efficiency-operation maintenance cost objective function F2The following formula is adopted for construction:
wherein: gamma ray1、γ2、γ3Respectively, a first normalization parameter, a second normalization parameter and a third normalization parameter.
Solving the derivative of the local energy consumption-operation and maintenance cost objective function to the operation and maintenance cost objective function and the derivative of the local efficiency-operation and maintenance cost objective function to the operation and maintenance cost objective function in the step 3), wherein both the derivatives are equal to 0 and are expressed by the following formula:
and substituting the expressions of the energy consumption objective function, the efficiency objective function and the operation and maintenance cost objective function, and then solving to obtain the optimal energy consumption, efficiency and operation and maintenance cost parameters N, X, C, so that the comprehensive objective function F containing the energy consumption, efficiency and operation and maintenance cost is minimized.
The invention has the beneficial effects that:
the solar energy integrated building system can reduce the energy consumption of the solar energy integrated building system, improve the operation efficiency, reduce the energy waste and reduce the operation and maintenance cost on the basis of ensuring the stable operation of the solar energy integrated building system.
Drawings
FIG. 1 is a diagram of an embodiment energy consumption objective function f1Efficiency objective function f2Running maintenance cost objective function f3Screenshot of the experiment (2).
Fig. 2 is an experimental screenshot of the synthetic objective function F according to the embodiment.
Detailed Description
The present invention will be described in further detail with reference to specific examples.
The method comprises the step 1) of carrying out sinusoidal processing on the energy consumption objective function and the efficiency objective function of the solar integrated building system, so that the calculation process of multi-objective optimization can be simplified, and the multi-objective operation real-time performance of the solar integrated building system is ensured.
Step 2) of the invention can conveniently realize unified collaborative optimization of energy consumption, efficiency and operation and maintenance cost by establishing a local energy consumption-operation and maintenance cost objective function and a local energy consumption-operation and maintenance cost objective function, and provides guarantee for realizing optimized operation of the solar integrated building system.
In the step 3), the problem of multi-target solution of the solar integrated building system is solved by solving the derivative of the local energy consumption-operation and maintenance cost objective function to the operation and maintenance cost sinusoidal objective function and the derivative of the local efficiency-operation and maintenance cost objective function to the operation and maintenance cost sinusoidal objective function, and the coordinated optimization of energy consumption, efficiency and operation and maintenance cost in the operation process of the solar integrated building system is realized.
The specific embodiment of the invention:
the method proposed by the present invention was subjected to digital simulation experiments in MATLAB. The experimental parameters are shown in table 1 below. In addition, the energy consumption N, the efficiency X and the operation and maintenance cost C of the solar integrated building are time-varying and are obtained according to the actual operation condition of the solar integrated building.
TABLE 1
Drawing simulation experiment waveforms through an MATLAB graph detection function, calculating experiment data through a numerical analysis function, and obtaining the experiment data by adopting the control method provided by the invention: the energy consumption is reduced by 15%, the efficiency is improved by 12%, and the operation and maintenance cost is reduced by 10%.
The experimental screenshots are as follows:
(1) energy consumption objective function f1Efficiency objective function f2Running maintenance cost objective function f3The simulated experimental waveform of (2) is shown in fig. 1. As can be seen from fig. 1: f. of1、f3Decrease until it is stabilized at a lower value during the simulation experiment, and f2The multi-target operation optimization method for the solar integrated building is proved to be capable of reducing the energy consumption and the operation and maintenance cost of the solar integrated building and improving the operation efficiency of the whole solar integrated building system.
(2) The waveform of the simulation experiment of the integrated objective function F is shown in fig. 2. As can be seen from fig. 2: the comprehensive objective function F is reduced to the minimum value all the time in the simulation experiment process, and the multi-objective operation optimization method for the solar integrated building is proved to be capable of achieving multi-objective optimization of the solar integrated building on the basis of achieving unified coordination of energy consumption, efficiency and operation and maintenance cost.
The foregoing detailed description is intended to illustrate and not limit the invention, which is intended to be within the spirit and scope of the appended claims, and any changes and modifications that fall within the true spirit and scope of the invention are intended to be covered by the following claims.
Claims (4)
1. A solar energy integrated building multi-target operation optimization method is characterized by comprising the following steps:
1) respectively carrying out sinusoidal processing on an energy consumption objective function and an efficiency objective function of the solar integrated building to obtain an energy consumption sinusoidal objective function and an efficiency sinusoidal objective function;
2) constructing a local energy consumption-operation and maintenance cost objective function comprising an energy consumption sinusoidal objective function and an operation and maintenance cost objective function and a local efficiency-operation and maintenance cost objective function comprising an efficiency sinusoidal objective function and an operation and maintenance cost objective function;
3) respectively solving the derivative of the local energy consumption-operation and maintenance cost objective function to the operation and maintenance cost objective function and the derivative of the local efficiency-operation and maintenance cost objective function to the operation and maintenance cost objective function, and enabling the two derivatives to be equal to zero, so that a comprehensive objective function F containing energy consumption, efficiency and operation and maintenance cost is minimized, a solution result representing the energy consumption objective function, the efficiency objective function and the operation and maintenance cost objective function at the same time is obtained, and multi-objective operation optimization of the solar integrated building is realized.
2. The multi-target operation optimization method for the solar integrated building as claimed in claim 1, wherein the method comprises the following steps:
the objective function f of energy consumption in step 1) is respectively calculated110/N, efficiency objective function f2The energy consumption sinusoidal objective function and the efficiency sinusoidal objective function obtained after the sine processing are 50/X, and are expressed by the following formulas:
f1t＝α1f3+β1
f2t＝α2f3+β2
wherein: n, X, C are energy consumption, efficiency, operation and maintenance cost parameters of the solar integrated building respectively, f3For the operating maintenance cost objective function, f3＝-10/C，α1、β1Respectively, an energy consumption objective function f1First and second constant parameters of (a)2、β2Respectively, the efficiency objective function f2T represents a sinusoidal sign, f1tRepresenting a sinusoidal objective function of the energy consumption after the sinusoidization, f2tExpressing the sinusoidal objective function of the efficiency after the sinusoidization。
3. The multi-target operation optimization method for the solar integrated building as claimed in claim 1, wherein the method comprises the following steps:
the local energy consumption-operation maintenance cost objective function F in the step 2)1And local efficiency-operation maintenance cost objective function F2The following formula is adopted for construction:
wherein: gamma ray1、γ2、γ3Respectively, a first normalization parameter, a second normalization parameter and a third normalization parameter.
4. The multi-target operation optimization method for the solar integrated building as claimed in claim 1, wherein the method comprises the following steps: solving the derivative of the local energy consumption-operation and maintenance cost objective function to the operation and maintenance cost objective function and the derivative of the local efficiency-operation and maintenance cost objective function to the operation and maintenance cost objective function in the step 3), wherein both the derivatives are equal to 0 and are expressed by the following formula:
and substituting the expressions of the energy consumption objective function, the efficiency objective function and the operation and maintenance cost objective function, and then solving to obtain the optimal energy consumption, efficiency and operation and maintenance cost parameters N, X, C, so that the comprehensive objective function F containing the energy consumption, efficiency and operation and maintenance cost is minimized.
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