CN112987617A - Near-zero energy consumption building digital management system and energy efficiency monitoring method - Google Patents
Near-zero energy consumption building digital management system and energy efficiency monitoring method Download PDFInfo
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Abstract
The invention relates to the technical field of energy monitoring, in particular to a near-zero energy consumption building digital management system and an energy efficiency monitoring method. The system comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring near-zero energy consumption data in the building and environment monitoring data; the network transmission module is used for realizing transmission of near-zero energy consumption building internal energy consumption data and environment monitoring data; the data resource module is used for storing energy consumption data and environment monitoring data in the near-zero energy consumption building in a database; and the application module is used for realizing energy consumption monitoring, energy efficiency analysis, energy utilization prediction and multi-energy cooperation of the near-zero energy consumption building. The monitoring and management of all energy data in the near-zero energy consumption building are realized, the implementation condition of the near-zero energy consumption target is fed back in real time, the energy consumption and the energy consumption cost are reduced through the intelligent control and energy efficiency optimization functions, and friendly interaction can be carried out with a power grid.
Description
Technical Field
The invention relates to the technical field of energy monitoring, in particular to a near-zero energy consumption building digital management system and an energy efficiency monitoring method.
Background
In recent years, many enterprises and scientific research institutes take various measures and means successively to implement intelligent energy efficiency management on large buildings from different levels and different angles, and strive to realize energy conservation. At present, a building automatic control system is generally installed in a large public building, so that the overall energy efficiency management level of the building can be obviously improved, and energy conservation and consumption reduction are realized. However, most of the energy consumption devices are only subjected to energy saving monitoring respectively, and a solution for global and systematic energy consumption analysis and management scheduling is lacked. Because the existing management platform only simply displays energy consumption data, the functions of energy consumption analysis and collaborative optimization of various types of energy sources in a near-zero energy consumption building are lacked.
Disclosure of Invention
The invention aims to provide a near-zero energy consumption building digital management system and an energy efficiency monitoring method aiming at the defects of the prior art, which can effectively make up the defects that the traditional building energy efficiency management platform simply displays energy consumption data and lacks a near-zero energy consumption building energy collaborative optimization function, and can analyze the building energy efficiency by combining energy consumption monitoring data to improve the comprehensive energy saving rate of a near-zero energy consumption building.
The invention relates to a near-zero energy consumption building digital management system, which adopts the technical scheme that the system comprises
The data acquisition module is used for acquiring near-zero energy consumption building internal energy consumption data and environment monitoring data;
the network transmission module is used for realizing transmission of near-zero energy consumption building internal energy consumption data and environment monitoring data;
the data resource module is used for storing energy consumption data and environment monitoring data in the near-zero energy consumption building in a database;
and the application module is used for realizing energy consumption monitoring, energy efficiency analysis, energy utilization prediction and multi-energy cooperation of the near-zero energy consumption building.
Preferably, the energy consumption monitoring includes:
and displaying the energy data of each type in a chart combination mode according to the energy consumption data and the environment monitoring data of different types of energy sources in the near-zero energy consumption building, and statistically displaying the energy data of each type according to the time sequence.
Preferably, the energy efficiency analysis includes:
combining real-time monitoring data and historical energy consumption data of each energy consumption device in the near-zero energy consumption building, selecting a time interval, and counting the consumption of various energy resources in the near-zero energy consumption building;
calculating the comprehensive energy consumption, the energy consumption of unit building area and the per-capita energy consumption of the near-zero energy consumption building according to the index coefficients of different energy sources, the pre-recorded building area and energy consumption number data;
wherein, the comprehensive energy consumption is obtained by summarizing the energy consumption of various types after the conversion of energy conversion coefficient;
the unit building area energy consumption is integrated energy consumption/building area;
the average energy consumption per person is the comprehensive energy consumption/energy consumption per person.
Preferably, the energy efficiency analysis further includes evaluating energy efficiency levels of the near-zero energy consumption building in different time periods by using a comparative analysis method.
Preferably, the energy efficiency analysis further comprises comparing each energy efficiency index in the near-zero energy consumption building with a national and/or regional energy efficiency standard value respectively, and evaluating the energy consumption level of the near-zero energy consumption building, including
If the building energy efficiency index is not less than the national or regional energy efficiency standard value m%, the building is in the energy efficiency three-level;
if the building energy efficiency index is smaller than the national or regional energy efficiency standard value m% and the building energy efficiency index is not smaller than the national or regional energy efficiency standard value n%, the building is in an energy efficiency secondary level;
if the building energy efficiency index is smaller than the national or regional energy efficiency standard value n%, the building is in the energy efficiency first-level;
wherein m >100> n.
Preferably, the using energy prediction includes:
carrying out dimension reduction processing on input characteristics of data to be predicted;
and inputting the data to be predicted after the dimension reduction processing into a neural network to obtain a power prediction result of the photo-thermal electric system.
Preferably, the neural network is obtained by training data after dimension reduction, the training data includes historical operating data and meteorological data, and the meteorological data is obtained by performing dimension reduction analysis processing on original meteorological feature data.
Preferably, the multi-energy cooperation includes:
the method comprises the steps of establishing an objective function by taking the optimal operation economy of the near-zero energy consumption building energy system as a model, taking the near-zero energy consumption building photo-thermal electric system power obtained by energy prediction as input, solving the objective function on the premise of meeting energy balance constraint and equipment operation constraint, and obtaining a collaborative optimization operation strategy of the optimal operation economy of the near-zero energy consumption building energy system in a corresponding time period.
The invention relates to a near-zero energy consumption building digital energy efficiency monitoring method, which adopts the technical scheme that the method comprises the following steps
Acquiring near-zero energy consumption building internal energy consumption data and environment monitoring data;
constructing a database for storing energy consumption data and environmental monitoring data in a near-zero energy consumption building;
and carrying out energy consumption monitoring, energy efficiency analysis, energy utilization prediction and multi-energy cooperation on the near-zero energy consumption building according to the energy consumption data and the environment monitoring data in the near-zero energy consumption building.
Preferably, the energy efficiency analysis includes:
combining real-time monitoring data and historical energy consumption data of each energy consumption device in the near-zero energy consumption building, selecting a time interval, and counting the consumption of various energy resources in the near-zero energy consumption building;
calculating the comprehensive energy consumption, the energy consumption of unit building area and the per-capita energy consumption of the near-zero energy consumption building according to the index coefficients of different energy sources, the pre-recorded building area and energy consumption number data;
wherein, the comprehensive energy consumption is obtained by summarizing the energy consumption of various types after the conversion of energy conversion coefficient;
the unit building area energy consumption is integrated energy consumption/building area;
the average energy consumption per person is the comprehensive energy consumption/energy consumption per person.
The invention has the beneficial effects that: the digital management platform develops platform functions of energy consumption monitoring, energy efficiency analysis, energy consumption prediction, multi-energy complementary coordination and the like, realizes monitoring and management of all energy data in a near-zero energy consumption building, can combine grasped total building energy consumption, key equipment energy consumption, energy consumption distribution time period and the like, feeds back the implementation condition of a near-zero energy consumption target in real time, reduces energy consumption and energy consumption cost through intelligent control and energy efficiency optimization functions, and can perform friendly interaction with a power grid.
1. The energy consumption of the near-zero energy consumption building is analyzed from multiple angles by combining real-time and historical energy consumption monitoring data of each energy consumption device in the near-zero energy consumption building, calculating building energy efficiency indexes, evaluating the energy efficiency levels of the building in different time periods, and realizing timely and accurate evaluation of the energy consumption level of the building.
2. And training based on meteorological conditions and historical energy consumption data to obtain a neural network prediction model, inputting the data to be predicted after dimensionality reduction into the trained neural network to obtain a final power prediction result of the photothermal power system, and judging the development trend of building energy consumption.
3. The method comprises the steps of establishing an objective function by taking the optimal operation economy of the near-zero energy consumption building energy system as a model, taking the near-zero energy consumption building photo-thermal electric system power obtained by energy prediction as input, solving the model on the premise of meeting energy balance constraint and equipment operation constraint, obtaining a collaborative optimization operation strategy of the optimal operation economy of the near-zero energy consumption building energy system in a corresponding time period, and achieving building energy saving plan formulation.
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FIG. 1 is a schematic structural diagram of a near-zero energy consumption building digital management system of the present invention
Detailed Description
The invention will be further described in detail with reference to the following drawings and specific examples, which are not intended to limit the invention, but are for clear understanding.
According to the near-zero energy consumption building digital management system and the energy efficiency monitoring method, the defects that a traditional building energy efficiency management platform simply shows energy consumption data and lacks a near-zero energy consumption building energy collaborative optimization function can be effectively overcome, the building energy efficiency is analyzed by combining the energy consumption monitoring data, and the comprehensive energy saving rate of a near-zero energy consumption building is improved. As shown in fig. 1, the near-zero energy consumption building digital management system is a near-zero energy consumption building digital management and control platform created based on the internet of things technology, and includes
And the data acquisition module is used for acquiring near-zero energy consumption data and environmental monitoring data in the building. Hardware equipment such as sensors are arranged inside the near-zero energy consumption building, and various energy consumption information such as electricity, water, gas and heat of the near-zero energy consumption building is acquired and used for monitoring the near-zero energy consumption building. The energy consumption monitoring system can sense the change of various energy information in the building and monitor the building performance, the information can be finally used as an important reference for near-zero energy consumption building energy configuration and energy consumption control schemes and means, and data support is provided for the improvement and optimization of the near-zero energy consumption building performance.
And the network transmission module is used for realizing transmission of near-zero energy consumption building energy consumption data and environment monitoring data by utilizing various network types. The information and data are transmitted among the acquisition layer, the data layer and the application module by mainly adopting a unified communication interface protocol and adopting a public network or a private network in a wireless or wired mode. The network transmission mode can be a wired or wireless network, a smart meter, a 5G, Lora technology and other network transmission technologies.
The data resource module is used for storing energy consumption data and environment monitoring data in the near-zero energy consumption building in the database, and realizing uniform organization and management of data resources and data standardization and uniform expression by collecting building data, energy consumption data, equipment data, meteorological data and user data, and providing support for data exchange and sharing.
And the application module is used for realizing energy consumption monitoring, energy efficiency analysis, energy utilization prediction and multi-energy cooperation of the near-zero energy consumption building. The method realizes monitoring and management of all energy data in the near-zero energy consumption building, combines grasped total energy consumption of the building, key equipment energy consumption, energy consumption distribution time and the like, feeds back the implementation condition of the near-zero energy consumption target in real time, reduces energy consumption and energy consumption cost through intelligent control and energy efficiency optimization functions, and can realize friendly interaction with a power grid.
According to different application scenes, the system uses technologies such as Html5, Javascript and CSS, utilizes an interface configuration environment to generate a visual interface, constructs near-zero energy consumption building digital application, realizes monitoring and management of all energy data of a near-zero energy consumption building, performs statistical analysis on the near-zero energy consumption building energy consumption condition, can realize balance management, energy efficiency evaluation, energy optimization and the like of the building energy consumption for energy consumption, and meets the requirements of a user on near-zero energy consumption building energy efficiency operation management and overall business.
The energy consumption monitoring function mainly adopts a chart combined display mode according to different energy types such as electricity, gas, heat, solar energy and the like to display energy data of corresponding types, and meanwhile, the energy data can be statistically inquired according to time sequences.
For the energy efficiency analysis function, the real-time and historical energy consumption monitoring data of each energy consumption device in the near-zero energy consumption building are mainly combined, building energy efficiency indexes are calculated, the building energy efficiency indexes comprise economic indexes such as unit area energy cost, per-capita energy cost and unit output value energy cost, physical indexes such as building comprehensive energy consumption, unit area energy consumption and per-capita energy consumption and the like, and the energy efficiency levels of the building in different time periods are evaluated by using comparison analysis methods such as same ratio and ring ratio according to different time types such as year, month and day. In addition, the building energy efficiency index can be compared with the national or regional energy efficiency standard value, the near-zero energy consumption building energy consumption condition is analyzed from multiple angles, and the energy utilization level of the building can be timely and accurately evaluated.
The energy efficiency analysis comprises the following steps:
combining real-time monitoring data and historical energy consumption data of each energy consumption device in the near-zero energy consumption building, selecting a time interval, and counting the consumption of various energy resources in the near-zero energy consumption building;
calculating the comprehensive energy consumption, the energy consumption of unit building area and the per-capita energy consumption of the near-zero energy consumption building according to the index coefficients of different energy sources, the pre-recorded building area and energy consumption number data;
wherein, the comprehensive energy consumption is obtained by summarizing the energy consumption of various types after the conversion of energy conversion coefficient;
the unit building area energy consumption is integrated energy consumption/building area;
the average energy consumption per person is the comprehensive energy consumption/energy consumption person number,
the energy consumption of various types is obtained from a system database according to the selected time, the energy signature coefficient is directly read during calculation after being input into a platform database in advance, the building area is directly read during calculation after being input into the platform database in advance as basic building information, and the energy number is directly read during calculation after being input into the platform database in advance as the basic building information.
The evaluation of energy efficiency levels included:
if the building energy efficiency index is not less than the national or regional energy efficiency standard value m%, the building is in the energy efficiency three-level;
if the building energy efficiency index is smaller than the national or regional energy efficiency standard value m% and the building energy efficiency index is not smaller than the national or regional energy efficiency standard value n%, the building is in an energy efficiency secondary level;
if the building energy efficiency index is smaller than the national or regional energy efficiency standard value n%, the building is in the energy efficiency first-level;
where m >100> n, m is 105 and n is 95 in this embodiment. For the energy consumption prediction function, the near-zero energy consumption building energy consumption data are predicted in a rolling mode by selecting meteorological conditions and historical data, and the near-zero energy consumption building energy consumption data mainly comprise solar energy, and the power of electricity, heat and cold loads. Firstly, carrying out dimensionality reduction analysis and processing on original meteorological feature data by using Principal Component Analysis (PCA) technology, and then carrying out PCA dimensionality reduction processing on input features of training data and data to be predicted by taking historical operating data and meteorological data as training data. And establishing a BP neural network prediction model by the training data after dimension reduction. Inputting the data to be predicted after the dimensionality reduction into the trained neural network to obtain a final power prediction result of the photothermal power system, and judging the development trend of the building energy consumption.
For the multi-energy cooperative function, firstly, the optimal operation economy of the near-zero energy consumption building energy system is used as a model to establish an objective function, the near-zero energy consumption building photo-thermal electric system power obtained by energy prediction is used as input, on the premise of meeting energy balance constraint and equipment operation constraint, the particle swarm algorithm, the vector machine algorithm and the ant colony algorithm are used for solving the model, the optimal cooperative optimization operation strategy of the near-zero energy consumption building energy system operation economy in the corresponding time period is obtained, and the building energy saving plan is formulated.
The above is only a preferred embodiment of the present invention, and it should be noted that the above preferred embodiment should not be considered as limiting the present invention, and the protection scope of the present invention should be subject to the scope defined by the claims. It will be apparent to those skilled in the art that various modifications and adaptations can be made without departing from the spirit and scope of the invention, and these modifications and adaptations should be considered within the scope of the invention.
Claims (10)
1. A near zero energy consumption building digital management system, comprising:
the data acquisition module is used for acquiring near-zero energy consumption building internal energy consumption data and environment monitoring data;
the network transmission module is used for realizing transmission of near-zero energy consumption building internal energy consumption data and environment monitoring data;
the data resource module is used for storing energy consumption data and environment monitoring data in the near-zero energy consumption building in a database;
and the application module is used for realizing energy consumption monitoring, energy efficiency analysis, energy utilization prediction and multi-energy cooperation of the near-zero energy consumption building.
2. The near-zero energy consumption building digital management system of claim 1, wherein the energy consumption monitoring comprises:
and displaying the energy data of each type in a chart combination mode according to the energy consumption data and the environment monitoring data of different types of energy sources in the near-zero energy consumption building, and statistically displaying the energy data of each type according to the time sequence.
3. The near-zero energy consumption building digital management system according to claim 1, wherein the energy efficiency analysis comprises:
combining real-time monitoring data and historical energy consumption data of each energy consumption device in the near-zero energy consumption building, selecting a time interval, and counting the consumption of various energy resources in the near-zero energy consumption building;
calculating the comprehensive energy consumption, the energy consumption of unit building area and the per-capita energy consumption of the near-zero energy consumption building according to the index coefficients of different energy sources, the pre-recorded building area and energy consumption number data;
wherein, the comprehensive energy consumption is obtained by summarizing the energy consumption of various types after the conversion of energy conversion coefficient;
the unit building area energy consumption is integrated energy consumption/building area;
the average energy consumption per person is the comprehensive energy consumption/energy consumption per person.
4. The digital management system for near-zero energy consumption buildings according to claim 3, wherein the energy efficiency analysis further comprises evaluating the energy efficiency level of the near-zero energy consumption buildings in different time periods by using a comparative analysis method.
5. The digital management system for near-zero energy consumption buildings according to claim 1, wherein the energy efficiency analysis further comprises comparing each energy efficiency index in the near-zero energy consumption buildings with national and/or regional energy efficiency standard values respectively, and evaluating the energy consumption level of the near-zero energy consumption buildings, comprising
If the building energy efficiency index is not less than the national or regional energy efficiency standard value m%, the building is in the energy efficiency three-level;
if the building energy efficiency index is smaller than the national or regional energy efficiency standard value m% and the building energy efficiency index is not smaller than the national or regional energy efficiency standard value n%, the building is in an energy efficiency secondary level;
if the building energy efficiency index is smaller than the national or regional energy efficiency standard value n%, the building is in the energy efficiency first-level;
wherein m >100> n.
6. The near-zero energy consumption building digital management system of claim 1, wherein the energy consumption prediction comprises:
carrying out dimension reduction processing on input characteristics of data to be predicted;
and inputting the data to be predicted after the dimension reduction processing into a neural network to obtain a power prediction result of the photo-thermal electric system.
7. The near-zero energy consumption building digital management system of claim 6, wherein the neural network is trained by training data after dimension reduction, the training data comprises historical operating data and meteorological data, and the meteorological data is obtained by performing dimension reduction analysis processing on original meteorological characteristic data.
8. The near-zero energy consumption building digital management system of claim 1, wherein the multi-energy coordination comprises:
the method comprises the steps of establishing an objective function by taking the optimal operation economy of the near-zero energy consumption building energy system as a model, taking the near-zero energy consumption building photo-thermal electric system power obtained by energy prediction as input, solving the objective function on the premise of meeting energy balance constraint and equipment operation constraint, and obtaining a collaborative optimization operation strategy of the optimal operation economy of the near-zero energy consumption building energy system in a corresponding time period.
9. A near-zero energy consumption building digital energy efficiency monitoring method is characterized by comprising the following steps
Acquiring near-zero energy consumption building internal energy consumption data and environment monitoring data;
constructing a database for storing energy consumption data and environmental monitoring data in a near-zero energy consumption building;
and carrying out energy consumption monitoring, energy efficiency analysis, energy utilization prediction and multi-energy cooperation on the near-zero energy consumption building according to the energy consumption data and the environment monitoring data in the near-zero energy consumption building.
10. The near-zero energy consumption building digital energy efficiency monitoring method according to claim 9, wherein the energy efficiency analysis comprises:
combining real-time monitoring data and historical energy consumption data of each energy consumption device in the near-zero energy consumption building, selecting a time interval, and counting the consumption of various energy resources in the near-zero energy consumption building;
calculating the comprehensive energy consumption, the energy consumption of unit building area and the per-capita energy consumption of the near-zero energy consumption building according to the index coefficients of different energy sources, the pre-recorded building area and energy consumption number data;
wherein, the comprehensive energy consumption is obtained by summarizing the energy consumption of various types after the conversion of energy conversion coefficient;
the unit building area energy consumption is integrated energy consumption/building area;
the average energy consumption per person is the comprehensive energy consumption/energy consumption per person.
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