Energy saving reconstruction and intelligent control method of stock industrial and civil buildings working with new and old energy

Abstract

The application discloses a kind of stock industry and civil building new and old energy collaborative work energy-saving reconstruction and intelligent control method, comprising: to original old energy system carries out full-dimension survey, constructs cold, heat, electric three-dimensional load prediction model, carries out performance evaluation and energy efficiency classification to original old energy equipment;Based on the evaluation result, energy-saving reconstruction is carried out using non-demolition parallel coupling mode;Distributed new energy system is installed in building suitable area, and through intelligent electrical grid connection and fluid switching device, new and old energy system is connected in power supply and cold / heat supply circuit;Formulate electricity price linkage collaborative strategy, seasonal adaptation collaborative strategy and partition control collaborative strategy;Build cloud intelligent management and control platform;Through closed-loop feedback mechanism, the power supply ratio of new and old energy system, equipment start-stop sequence, energy storage charging and discharging strategy and end energy supply parameter are dynamically adjusted;According to the operation performance, optimize the collaborative energy supply strategy and the control algorithm of the cloud intelligent management and control platform.

Description

Technical Field

[0001] This invention relates to the field of building energy-saving renovation technology, specifically to a method for energy-saving renovation and intelligent control of existing industrial and civil buildings with coordinated new and old energy sources, a system for coordinated new and old energy sources in existing industrial and civil buildings, and a computing device-readable storage medium. Background Technology

[0002] Currently, my country has a large stock of industrial and civil buildings, most of which were built between 2000 and 2015. Their energy supply systems are mainly based on traditional municipal electricity, gas boilers, water-cooled / air-cooled chillers, centralized HVAC and other old energy systems. These systems generally suffer from industry pain points such as equipment energy efficiency degradation, simple energy consumption structure, crude operation and control, peak and valley load mismatch, hydraulic imbalance of pipeline network, high operation and maintenance costs, and large carbon emissions.

[0003] Existing energy-saving renovation technologies for existing buildings suffer from the following drawbacks: First, the method of completely replacing old energy equipment involves high investment costs, long construction periods, and requires large-scale shutdowns of building energy systems, severely disrupting normal office, residential, and commercial operations in industrial and civil buildings, resulting in low cost-effectiveness. Second, simply adding new energy equipment such as photovoltaic power generation and air-source heat pumps without coupling and linkage with the original old energy system means that the new and old systems operate independently. The new energy sources are affected by weather conditions and time periods, exhibiting intermittent and fluctuating performance, unable to stably support the building load, while the old energy system remains in a high-load, high-energy-consumption state, significantly reducing the energy-saving effect. Third, precise control strategies have not been developed for the vertical zoning, poor layered functions, and time-of-use load variations of industrial and civil buildings, leading to a mismatch between energy supply and actual demand and significant energy waste. Fourth, the lack of an integrated intelligent control mechanism for source-load-storage means that dynamic optimization scheduling cannot be achieved by combining peak-valley electricity prices, weather forecasts, and building load forecasts, leaving the energy system in a passive response state and unable to achieve optimal global energy consumption.

[0004] In summary, existing technologies cannot simultaneously meet the requirements of low cost, low disturbance, high energy efficiency, and intelligent collaboration in the energy-saving retrofitting of existing industrial and civil buildings. Therefore, there is an urgent need to develop an energy-saving retrofitting and intelligent control method that is adapted to the characteristics of existing buildings and can achieve deep coupling and coordinated optimization of new and old energy sources to solve the many shortcomings of existing technologies. Summary of the Invention

[0005] This invention aims to solve at least one of the technical problems existing in the prior art. To this end, this invention proposes a method for energy-saving retrofitting and intelligent control of existing industrial and civil buildings that integrates new and old energy sources. This method couples and connects new and old energy equipment to the grid, and they are all connected to a unified intelligent control platform. Through a source-load-storage collaborative optimization strategy, it achieves deep coupling and dynamic balance between the new and old energy systems.

[0006] This invention also proposes a new and old energy synergy system for existing industrial and civil buildings.

[0007] The present invention also proposes a computing device readable storage medium.

[0008] The method for energy-saving retrofitting and intelligent control of existing industrial and civil buildings using both new and old energy sources according to the first aspect of the present invention includes the following steps: S1. Energy System Survey and 3D Load Modeling: Conduct a full-dimensional survey of the existing energy systems of existing industrial and civil buildings, collect equipment operating parameters and historical energy consumption data, and combine them with building functions, usage attributes and local meteorological conditions to construct hourly, zoned and seasonal three-dimensional load prediction models for cold, heat and electricity. At the same time, conduct performance evaluation and energy efficiency classification of the existing old energy equipment. S2. Energy-saving retrofitting of new and old energy systems in parallel coupling: Based on the assessment results, energy-saving retrofitting is carried out in a non-removal parallel coupling mode; the main equipment and pipelines of the existing old energy system are retained, and distributed new energy systems are installed in suitable areas of the building at the same time; the connection between the new and old energy systems in power supply and cooling / heating circuits is realized through intelligent electrical grid connection and fluid switching devices. S3. Multi-dimensional new and old energy supply strategy formulation: Based on the peak and valley electricity price periods of the power grid, meteorological conditions in different seasons, and load characteristics of vertical zoning of industrial and civil buildings, formulate electricity price linkage coordination strategy, seasonal adaptation coordination strategy, and zoning control coordination strategy. S4. Cloud-based intelligent control platform construction and dynamic optimization operation: Build a cloud-based intelligent control platform based on the Internet of Things and AI algorithms; The cloud-based intelligent control platform connects to the three-dimensional load forecasting model, external meteorological and electricity price data and operation monitoring data of new and old energy systems, and dynamically adjusts the power supply ratio, equipment start-up and shutdown sequence, energy storage charging and discharging strategy and end-point energy supply parameters of new and old energy systems through a closed-loop feedback mechanism. S5. Energy-saving effect quantitative monitoring and operation and maintenance solution iterative optimization: After the renovation, the building energy consumption data is monitored for a long time to quantify the energy-saving benefits, and the collaborative energy supply strategy and the control algorithm of the cloud intelligent management and control platform are continuously optimized according to the operating performance under different working conditions.

[0009] In some embodiments, in step S1, the energy efficiency classification includes at least: equipment that can be directly reused, equipment that can be upgraded and modified, and equipment that can be converted to standby. The energy efficiency of the equipment that can be directly reused is not less than 85% of the design energy efficiency, and the service life has not exceeded 75% of the design life. The equipment that can be upgraded and modified is the equipment with an energy efficiency between 70% and 85% of the design energy efficiency or the equipment with a service life exceeding 75% of the design life but not reaching the scrapping standard. The equipment that can be converted to standby is the equipment with an energy efficiency lower than 70% of the design energy efficiency or the equipment that is close to the scrapping age but can still be operated in a short-term emergency.

[0010] In some embodiments, in step S2, the distributed new energy system includes at least two of the following: a solar photovoltaic device, an air source or ground source heat pump unit, a distributed electrochemical energy storage system, and a waste heat recovery device; the intelligent electrical grid connection and fluid switching device includes at least an intelligent grid-connected distribution cabinet with automatic switching function, a bidirectional meter for measuring bidirectional electrical energy flow, an intelligent water distributor / collector for distributing hot and cold media, and an electric switching valve for controlling the on / off state and flow direction of the pipeline.

[0011] In some embodiments, in step S3, the method of the electricity price linkage coordination strategy includes: during peak electricity price periods, the distributed new energy system is given priority to discharge and supply energy in conjunction with the distributed electrochemical energy storage system, while the old energy system is used as a supplement or backup; during off-peak electricity price periods, the old energy system mainly operates at low power to meet the building's basic needs, and the low-priced electricity during this period is used to charge the distributed electrochemical energy storage system.

[0012] In some embodiments, in step S3, the method of the seasonal adaptation and coordination strategy includes: during the summer cooling season, using the solar photovoltaic device to generate electricity to drive the heat pump unit for cooling as the main energy supply means, and the existing chiller unit as a backup to cope with extreme high temperatures or peak cooling loads; during the winter heating season, using the heat pump unit and the waste heat recovery as the main heat source, and the existing gas or oil boiler as a backup heat source to cope with extreme low temperatures; during the spring and autumn transition season, completely shutting down high-energy-consuming equipment in the old energy system, and having the entire building load independently borne by the distributed new energy system.

[0013] In some embodiments, in step S3, the method of the zoned regulation and coordination strategy includes: dividing industrial and civil buildings into low zones, medium zones, and high zones according to building height and usage characteristics; prioritizing the supply of energy to the distributed new energy system for the low and medium zones where the base load is stable and easy to supply; and for the high zones with high energy demand, large load fluctuations, or large transmission losses, as well as the peak loads that occur in the building as a whole, the distributed new energy system and the old energy system jointly supply energy according to the strategy instructions.

[0014] In some embodiments, the cloud-based intelligent management and control platform includes a visual human-computer interaction interface for data monitoring, a load forecasting and optimization scheduling algorithm unit, and an equipment fault diagnosis and early warning unit. The load forecasting and optimization scheduling algorithm unit includes the three-dimensional load forecasting model module and a data processing and optimization scheduling algorithm module. The data processing and optimization scheduling algorithm module generates an energy scheduling strategy based on external meteorological and electricity price data and the operation monitoring data of new and old energy systems, combined with the prediction results of the three-dimensional load forecasting model module.

[0015] According to the second aspect of the present invention, a new and old energy synergy system for existing industrial and civil buildings is applied to achieve the above-mentioned energy-saving renovation and intelligent control method, the system comprising: Existing energy system modules include the existing power supply, heating and cooling equipment and their transmission networks in existing industrial and civil buildings; New energy system modules include at least two of the following: distributed photovoltaic devices, ground source or air source heat pump units, distributed energy storage systems, and waste heat recovery devices. The intelligent coupling and switching module is located between the old energy system module and the new energy system module. It is used to realize the grid-connected transmission of electrical energy between different power sources and the switching of the flow direction of cold and hot media between different pipelines. It includes at least an intelligent grid-connected power distribution cabinet and an intelligent switching valve group for cold and hot media. Sensing and monitoring modules are distributed at key nodes in both new and old energy systems to collect real-time information on power parameters, flow rate, temperature, pressure, and equipment operating status. The cloud-based intelligent management and control platform is used to receive and process the data uploaded by the sensing and monitoring module, and in conjunction with external electricity prices and meteorological information, execute the above-mentioned energy-saving renovation and intelligent control method for the coordinated use of new and old energy sources in existing industrial and civil buildings, and issue control commands to the intelligent coupling and switching module and each energy-consuming device.

[0016] According to a third aspect of the present invention, a computing device readable storage medium has a computer program stored thereon, which, when executed by a processor, is capable of controlling hardware devices connected in concert with the computing device to perform the above-described method for energy-saving renovation and intelligent control of existing industrial and civil buildings through the coordinated use of new and old energy sources.

[0017] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.

[0018] The present invention has at least the following beneficial effects: The entire process adopts a non-dismantling parallel coupling mode, making full use of the high-efficiency part of the old energy system through energy efficiency classification, while the new energy system undertakes the basic load, significantly reducing the amount of renovation work and investment costs; energy efficiency and economic benefits are significantly improved. Through multi-scenario collaborative strategies such as electricity price linkage, seasonal adaptation, and vertical zoning, combined with closed-loop control, dynamic optimal matching of photovoltaic, heat pump, energy storage and old systems is achieved, greatly shortening the project investment payback period; relying on the cloud management and control platform, real-time monitoring of equipment performance and predictive maintenance are realized, providing standardized technical support for the low-carbon operation and maintenance of existing buildings. Attached Figure Description

[0019] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 This is a flowchart of a method for energy-saving renovation and intelligent control of existing industrial and civil buildings that utilizes both new and old energy sources in a coordinated manner, according to an embodiment of the present invention. Figure 2 This is a schematic diagram of the device connection in a method for energy-saving renovation and intelligent control of existing industrial and civil buildings using both new and old energy sources, according to an embodiment of the present invention. Detailed Implementation

[0021] Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain the present invention, and should not be construed as limiting the present invention.

[0022] The following disclosure provides numerous different embodiments or examples for implementing various structures of the invention. To simplify the disclosure, specific examples of components and arrangements are described below. These are merely examples and are not intended to limit the invention. Furthermore, reference numerals and / or letters may be repeated in different examples. Such repetition is for simplification and clarity and does not in itself indicate a relationship between the various embodiments and / or arrangements discussed. Additionally, examples of various specific processes and materials are provided in this invention; however, those skilled in the art will recognize the applicability of other processes and / or the use of other materials.

[0023] refer to Figure 1 and Figure 2 According to the first aspect of the present invention, the method for energy-saving retrofitting and intelligent control of existing industrial and civil buildings using both new and old energy sources includes the following steps: S1. Energy System Survey and 3D Load Modeling: Conduct a full-dimensional survey of the existing energy systems of existing industrial and civil buildings, collect equipment operating parameters and historical energy consumption data, and combine them with building functions, usage attributes and local meteorological conditions to construct hourly, zoned and seasonal three-dimensional load prediction models for cold, heat and electricity. At the same time, conduct performance evaluation and energy efficiency classification of the existing old energy equipment. S2. Energy-saving retrofitting of new and old energy systems in parallel coupling: Based on the assessment results, energy-saving retrofitting is carried out in a non-removal parallel coupling mode; the main equipment and pipelines of the existing old energy system are retained, and distributed new energy systems are installed in suitable areas of the building at the same time; the connection between the new and old energy systems in power supply and cooling / heating circuits is realized through intelligent electrical grid connection and fluid switching devices. S3. Multi-dimensional new and old energy supply strategy formulation: Based on the peak and valley electricity price periods of the power grid, meteorological conditions in different seasons, and load characteristics of vertical zoning of industrial and civil buildings, formulate electricity price linkage coordination strategy, seasonal adaptation coordination strategy, and zoning control coordination strategy. S4. Cloud-based intelligent control platform construction and dynamic optimization operation: Build a cloud-based intelligent control platform based on the Internet of Things and AI algorithms; The cloud-based intelligent control platform connects to the three-dimensional load forecasting model, external meteorological and electricity price data and operation monitoring data of new and old energy systems, and dynamically adjusts the power supply ratio, equipment start-up and shutdown sequence, energy storage charging and discharging strategy and end-point energy supply parameters of new and old energy systems through a closed-loop feedback mechanism. S5. Energy-saving effect quantitative monitoring and operation and maintenance solution iterative optimization: After the renovation, the building energy consumption data is monitored for a long time to quantify the energy-saving benefits, and the collaborative energy supply strategy and the control algorithm of the cloud intelligent management and control platform are continuously optimized according to the operating performance under different working conditions.

[0024] In some embodiments, step S1 involves a comprehensive survey of the existing energy systems of existing industrial and civil buildings. This includes detailed data collection on the equipment models, service life, actual energy efficiency ratios, rated power, partial load performance curves, and fault records of the original cold and heat source rooms, transmission and distribution networks, terminal equipment, and electrical systems. Simultaneously, by installing intelligent sensors and data acquisition devices, the hourly cooling, heating, and electrical loads of various areas of the building are continuously monitored for at least one year to obtain a complete load dataset covering different usage patterns during weekdays, weekends, and holidays. Based on this dataset, and combined with parameters such as building orientation, window-to-wall ratio, occupancy density, and equipment usage patterns, a three-dimensional load prediction model for cooling, heating, and electricity is constructed using deep learning algorithms, covering hourly, zoned, and seasonal variations. This allows for the prediction of energy demand at different times, providing data support for subsequent energy system upgrades and operational strategy optimization.

[0025] In some embodiments, step S1, the energy efficiency classification includes at least: equipment that can be directly reused, equipment that can be upgraded, and equipment that can be converted to standby. The equipment that can be directly reused has an energy efficiency of not less than 85% of its design energy efficiency and its operating life has not exceeded 75% of its design life. The equipment that can be upgraded is equipment with an energy efficiency between 70% and 85% of its design energy efficiency or equipment whose operating life exceeds 75% of its design life but has not reached the scrapping standard. The equipment that can be converted to standby is equipment with an energy efficiency lower than 70% of its design energy efficiency or equipment that is nearing its scrapping age but can still operate temporarily in emergencies. Through energy efficiency classification, the disposal plan for old energy systems can be rationally planned, avoiding blind demolition or excessive modification, thereby reducing modification costs and resource waste; at the same time, it provides a basis for the selection and capacity configuration of new energy systems.

[0026] For example, for energy-efficient equipment that can be directly reused, its original functions can be retained and connected to the cloud-based intelligent control platform for direct use, reducing unnecessary equipment replacement costs; for equipment that can be upgraded, its operating efficiency can be improved and its service life extended by replacing it with a high-efficiency motor, adding a frequency converter, or optimizing the heat exchanger structure; for equipment that is converted to standby mode, it can only be activated under extreme operating conditions or when the main equipment fails, to ensure the safety and redundancy of the system's power supply.

[0027] In some embodiments, in step S2, the distributed new energy system includes at least two of the following: a solar photovoltaic device, an air source or ground source heat pump unit, a distributed electrochemical energy storage system, and a waste heat recovery device; the intelligent electrical grid connection and fluid switching device includes at least an intelligent grid-connected distribution cabinet with automatic switching function, a bidirectional meter for measuring bidirectional electrical energy flow, an intelligent water distributor / collector for distributing hot and cold media, and an electric switching valve for controlling the on / off state and flow direction of the pipeline.

[0028] Among them, the connection between new energy systems and old energy systems can be achieved through intelligent electrical grid connection and fluid switching devices as follows: In existing industrial and civil buildings, intelligent grid-connected distribution cabinets (including circuit breakers with reverse power protection, undervoltage tripping, and bypass isolating switches) are installed in series on the nearest backup feeder bay or newly added parallel busbar sections of the existing low-voltage busbar trunking (or main distribution cabinet busbar) in the low-voltage distribution room. Two-way meters are installed on the new energy input side and the mains power side of this cabinet, either separately or in combination. The intelligent grid-connected distribution cabinet enables simultaneous grid connection of photovoltaic inverters and energy storage PCS (two-way converters), and has over / undervoltage, overcurrent, islanding protection, and reverse power blocking functions, allowing the output of the new energy system to be safely injected into the building's low-voltage busbar and operate in parallel with the mains power. The two-way meters can separately measure the electricity supplied to the building by the new energy system, the electricity purchased from the mains power, and the charging and discharging electricity of the energy storage system, providing data for peak-valley arbitrage calculation and self-consumption rate calculation.

[0029] On the existing primary side supply / return water manifold of the chiller / boiler room, a short pipe section with flange joints is added to connect to the supply / return water pipe of the new energy heat pump unit. An electric switching control valve (on / off or regulating type) is installed on each of the parallel branch pipes, while the original manual isolation valve is retained between the original manifold and the new branch. At the outlet end of the new energy heat pump or on the main vertical zoning manifold of the building, a smart hot and cold medium distributor (distributor module with electric regulating valve / DDC control module) is installed or replaced. The electric switching control valve can receive instructions from the cloud-based intelligent control platform, enabling switching between three modes: independent power supply from the old energy unit, independent power supply from the new energy unit, and parallel power supply from both the old and new energy units. The smart distributor / collector can dynamically allocate hot and cold water flow according to vertical zones (low / middle / high zones) to match the load demands of different floors and reduce pump consumption caused by large flow rates and small temperature differences. The old and new cold and heat sources are connected in parallel to the same supply / return water manifold. The connection is controlled by an electric switching valve. The terminal equipment and the original secondary pump loop remain unchanged.

[0030] Therefore, during the renovation process, the old energy system can be kept running without shutdown, while the new energy system is gradually connected. The old and new systems can be seamlessly switched, avoiding power outages caused by the renovation. After the renovation is completed, the new energy system and the old energy system form a dual-source power supply pattern that serves as backups for each other. This allows for the use of clean energy sources such as photovoltaics and heat pumps to reduce operating costs, while the old energy system can seamlessly fill in during extreme weather or when the output of new energy is insufficient, ensuring a safe and stable power supply for the building.

[0031] In some embodiments, step S3, the method of the electricity price linkage coordination strategy includes: during peak electricity price periods, the distributed new energy system, in conjunction with the distributed electrochemical energy storage system, prioritizes discharging and supplying energy, while the old energy system serves as a supplement or backup; during off-peak electricity price periods, the old energy system primarily operates at low power to meet building infrastructure needs, and utilizes the low-priced electricity during this period to charge the distributed electrochemical energy storage system. Through the electricity price linkage coordination strategy, the output ratio of the new energy system and the old energy system can be dynamically adjusted to achieve optimal control of building energy costs.

[0032] In some embodiments, step S3, the seasonal adaptation and coordination strategy includes: during the summer cooling season, using the solar photovoltaic device to generate electricity to drive the heat pump unit for cooling as the primary energy source, with the existing chiller unit serving as a backup to cope with extreme high temperatures or peak cooling loads; during the winter heating season, using the heat pump unit and the waste heat recovery as the primary heat source, with the existing gas or oil boiler serving as a backup heat source to cope with extreme low temperatures; and during the spring and autumn transition seasons, completely shutting down high-energy-consuming equipment in the old energy system, with the entire building load independently borne by the distributed new energy system. Through the seasonal adaptation and coordination strategy, the advantages of different seasonal natural conditions can be maximized, achieving dual optimization of energy utilization efficiency and operating costs. For example, during the summer cooling season, abundant solar photovoltaic power generation can prioritize driving heat pump units for efficient cooling. At the same time, waste heat recovery devices can be used to convert waste heat generated during the cooling process into domestic hot water, achieving combined cooling and heating. During the winter heating season, heat pump units extract heat from the low outdoor temperature environment, combined with solar photovoltaic auxiliary heating and waste heat recovery, to meet the building's heating needs with low electricity consumption. Existing gas boilers are only started when the temperature is extremely low or the heat pump output is insufficient, ensuring heating reliability. During the spring and autumn transition seasons, the building load is relatively small, and it can be met entirely by distributed new energy systems. The old energy systems are completely shut down and on standby, thereby significantly reducing energy consumption and carbon emissions.

[0033] In some embodiments, step S3, the method of the zoned regulation and coordination strategy includes: dividing industrial and civil buildings into low, medium, and high zones according to building height and usage characteristics; prioritizing the distributed new energy system for power supply to low and medium zones where the base load is stable and easy to supply; and for high zones with high energy demand, large load fluctuations, or large transmission losses, as well as peak loads occurring in the entire building, the distributed new energy system and the old energy system jointly supply power according to strategy instructions. Through the zoned regulation and coordination strategy, the energy characteristics of different areas can be matched to achieve precise energy allocation and efficient utilization. For example, the base loads of low and medium zones, such as lighting and elevators, are prioritized for supply by the distributed new energy system, while high-energy-consuming loads in high zones, such as air conditioning and hot water, are dynamically adjusted according to real-time photovoltaic power generation and electricity price signals to determine the power supply ratio of new and old energy sources. During periods of low electricity demand or when photovoltaic power generation is sufficient, the new energy system is prioritized to handle the loads in high zones; during periods of high electricity demand or when photovoltaic output is insufficient, the old energy system supplements the loads to ensure stable energy consumption in high zones.

[0034] In some embodiments, the cloud-based intelligent management and control platform includes a visual human-computer interaction interface for data monitoring, a load forecasting and optimization scheduling algorithm unit, and an equipment fault diagnosis and early warning unit. The load forecasting and optimization scheduling algorithm unit includes a three-dimensional load forecasting model module and a data processing and optimization scheduling algorithm module. The data processing and optimization scheduling algorithm module generates an energy dispatching strategy based on external meteorological and electricity price data and operational monitoring data of new and old energy systems, combined with the prediction results of the three-dimensional load forecasting model module. The visual human-computer interaction interface displays real-time energy consumption, new energy power generation, old energy system operation status, and carbon emission data in various areas of the building in the form of charts, heat maps, etc., enabling managers to intuitively grasp overall energy efficiency. The load forecasting and optimization scheduling algorithm unit, based on historical data and real-time meteorological information, uses deep learning algorithms to predict the cooling, heating, and electricity load demand of various areas of the building for the next 24 hours, and combines time-of-use electricity prices and photovoltaic output curves to automatically generate the optimal energy dispatching scheme with the goal of minimizing operating costs. The equipment fault diagnosis and early warning unit monitors the operating parameters of each energy device in real time, uses machine learning models to identify abnormal patterns, detects potential faults in advance, and issues warnings, thereby avoiding unplanned downtime and ensuring the safe and stable operation of the energy system. For example, when the surface temperature of the photovoltaic panel rises abnormally or the inverter output power fluctuates abnormally, the system automatically identifies it as a potential fault and pushes early warning information to the operation and maintenance personnel's terminal, prompting them to check and maintain it in a timely manner. At the same time, this unit can also combine historical fault databases to provide operation and maintenance personnel with fault handling suggestions and spare parts replacement cycle predictions, further reducing operation and maintenance costs. Through this multi-level and multi-dimensional intelligent management and control, the energy system not only achieves efficient coordination and dynamic optimization of building energy consumption, but also significantly improves the absorption rate of new energy and the robustness of the system. According to the second aspect of the present invention, a new and old energy synergy system for existing industrial and civil buildings is applied to achieve the above-mentioned energy-saving renovation and intelligent control method, the system comprising: Existing energy system modules include the existing power supply, heating and cooling equipment and their transmission networks in existing industrial and civil buildings; New energy system modules include at least two of the following: distributed photovoltaic devices, ground source or air source heat pump units, distributed energy storage systems, and waste heat recovery devices. The intelligent coupling and switching module is located between the old energy system module and the new energy system module. It is used to realize the grid-connected transmission of electrical energy between different power sources and the switching of the flow direction of cold and hot media between different pipelines. It includes at least an intelligent grid-connected power distribution cabinet and an intelligent switching valve group for cold and hot media. Sensing and monitoring modules are distributed at key nodes in both new and old energy systems to collect real-time information on power parameters, flow rate, temperature, pressure, and equipment operating status. The cloud-based intelligent management and control platform is used to receive and process the data uploaded by the sensing and monitoring module, and, in conjunction with external electricity prices and meteorological information, execute the above-mentioned methods and issue control commands to the intelligent coupling and switching module and each energy-consuming device.

[0035] According to a third aspect of the present invention, a computing device readable storage medium has a computer program stored thereon, which, when executed by a processor, is capable of controlling hardware devices connected in concert with the computing device to perform the above-described method for energy-saving renovation and intelligent control of existing industrial and civil buildings through the coordinated use of new and old energy sources.

[0036] The following is a renovation project using a 32-story high-rise office building in a certain city as an example. The building has a total floor area of ​​48,000 square meters and was completed in 2010. The original energy system consisted of municipal electricity, two gas-fired boilers, three centrifugal chillers, and a traditional centralized HVAC system. No new energy equipment was installed. The specific implementation steps are as follows: 1. Energy Survey and Load Modeling: A comprehensive survey of the operating parameters of existing equipment was conducted, and hourly energy consumption data for the past three years was collected. Combined with the office building's office attributes and floor functional zoning, a cooling, heating, and electricity load model was constructed. It was determined that 8:00-18:00 is the peak period for electricity and cooling consumption, and 22:00-6:00 the next day is the off-peak period. The load is concentrated in the middle and high-rise office areas, while the load of shops in the low-rise area is relatively stable. After testing, it was determined that two water chillers and one gas boiler can be reused and optimized with frequency converters, and the remaining equipment is used as emergency backup.

[0037] 2. Parallel Coupling Retrofit: The existing chiller units, boilers, and water pumps were retrofitted with frequency converters, and the hydraulic balance of the pipeline network was adjusted; a 1500-meter suspended photovoltaic array was installed on the roof, 5 air source heat pumps were installed on the roof, an 800kWh distributed energy storage system was configured in the underground machine room, and an air conditioning condensate heat recovery device was installed; the new and old systems were connected in parallel through intelligent grid-connected cabinets and electric switching valves, and the building could continue to operate normally during the retrofit without any downtime.

[0038] 3. Implementation of the collaborative energy supply strategy: During peak hours on weekdays, photovoltaic + energy storage + heat pumps will handle 75% of the building load, while old equipment will be on low-load standby; during off-peak hours at night, old equipment will operate at low load, and energy storage will be charged simultaneously; in summer, photovoltaic + heat pumps will provide cooling, in winter, heat pumps + waste heat will provide heating, and during the transition season, pure new energy will provide energy; in the middle and low zones, new energy will be prioritized for energy supply, while in the high zones, new and old systems will be used together for peak load energy supply.

[0039] 4. Intelligent control and operation: Connect to the cloud-based energy management platform to monitor the operating parameters of all equipment in real time. AI algorithms automatically adjust the power supply ratio to achieve 24-hour unmanned intelligent control.

[0040] 5. Results Iteration: After 12 months of continuous operation, the office building’s overall energy consumption decreased by 35%, annual electricity and gas costs were reduced by 320,000 yuan, equipment failure frequency decreased by 40%, and energy saving and operation and maintenance benefits met the standards.

[0041] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0042] Although embodiments of the invention have been shown and described, those skilled in the art will understand that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.

Claims

1. A method for energy-saving retrofitting and intelligent control of existing industrial and civil buildings using both new and old energy sources, characterized in that: Includes the following steps: S1. Energy System Survey and 3D Load Modeling: Conduct a full-dimensional survey of the existing energy systems of existing industrial and civil buildings, collect equipment operating parameters and historical energy consumption data, and combine them with building functions, usage attributes and local meteorological conditions to construct hourly, zoned and seasonal three-dimensional load prediction models for cold, heat and electricity. At the same time, conduct performance evaluation and energy efficiency classification of the existing old energy equipment. S2. Energy-saving retrofitting of new and old energy systems in parallel coupling: Based on the assessment results, energy-saving retrofitting is carried out in a non-removal parallel coupling mode; the main equipment and pipelines of the existing old energy system are retained, and distributed new energy systems are installed in suitable areas of the building at the same time; the connection between the new and old energy systems in power supply and cooling / heating circuits is realized through intelligent electrical grid connection and fluid switching devices. S3. Multi-dimensional new and old energy supply strategy formulation: Based on the peak and valley electricity price periods of the power grid, meteorological conditions in different seasons, and load characteristics of vertical zoning of industrial and civil buildings, formulate electricity price linkage coordination strategy, seasonal adaptation coordination strategy, and zoning control coordination strategy. S4. Cloud-based intelligent control platform construction and dynamic optimization operation: Build a cloud-based intelligent control platform based on the Internet of Things and AI algorithms; The cloud-based intelligent management and control platform accesses the three-dimensional load forecasting model, external meteorological and electricity price data, and operation monitoring data of the new and old energy systems. Through a closed-loop feedback mechanism, it dynamically adjusts the power supply ratio, equipment start-up and shutdown sequence, energy storage charging and discharging strategies, and end-point energy supply parameters of the new and old energy systems. S5. Energy-saving effect quantitative monitoring and operation and maintenance solution iterative optimization: After the renovation, the building energy consumption data is monitored for a long time to quantify the energy-saving benefits, and the collaborative energy supply strategy and the control algorithm of the cloud intelligent management and control platform are continuously optimized according to the operating performance under different working conditions.

2. The method according to claim 1, characterized in that, In step S1, the energy efficiency classification includes at least: equipment that can be directly reused, equipment that can be upgraded and modified, and equipment that can be converted to standby. The energy efficiency of the equipment that can be directly reused is not less than 85% of the design energy efficiency, and the service life has not exceeded 75% of the design life. The equipment that can be upgraded and modified is the equipment with an energy efficiency between 70% and 85% of the design energy efficiency or the equipment with a service life exceeding 75% of the design life but not reaching the scrapping standard. The equipment that can be converted to standby is the equipment with an energy efficiency lower than 70% of the design energy efficiency or the equipment that is close to the scrapping age but can still be operated in a short-term emergency.

3. The method according to claim 1, characterized in that, In step S2, the distributed new energy system includes at least two of the following: solar photovoltaic devices, air source or ground source heat pump units, distributed electrochemical energy storage systems, and waste heat recovery devices; the intelligent electrical grid connection and fluid switching device includes at least an intelligent grid-connected distribution cabinet with automatic switching function, a bidirectional meter for measuring bidirectional electrical flow, an intelligent water distributor / collector for distributing hot and cold media, and an electric switching valve for controlling the on / off state and flow direction of pipelines.

4. The method according to claim 3, characterized in that, In step S3, the method of the electricity price linkage and coordination strategy includes: during peak electricity price periods, the distributed new energy system is given priority to discharge and supply energy in conjunction with the distributed electrochemical energy storage system, while the old energy system is used as a supplement or backup; during off-peak electricity price periods, the old energy system mainly operates at low power to meet the building's basic needs, and the low-priced electricity during this period is used to charge the distributed electrochemical energy storage system.

5. The method according to claim 3, characterized in that, In step S3, the seasonal adaptation and coordination strategy includes: during the summer cooling season, using the solar photovoltaic device to generate electricity to drive the heat pump unit for cooling as the main energy supply method, with the existing chiller unit serving as a backup to cope with extreme high temperatures or peak cooling loads; during the winter heating season, using the heat pump unit and the waste heat recovery as the main heat source, with the existing gas or oil boiler serving as a backup heat source to cope with extreme low temperatures; and during the spring and autumn transition season, completely shutting down high-energy-consuming equipment in the old energy system, with the entire building load being independently borne by the distributed new energy system.

6. The method according to claim 3, characterized in that, In step S3, the method of the zoned regulation and coordination strategy includes: dividing industrial and civil buildings into low, medium and high zones according to building height and usage characteristics; prioritizing the supply of energy to the distributed new energy system for the low and medium zones where the base load is stable and easy to supply; and for the high zones with high energy demand, large load fluctuations or large transmission losses, as well as the peak loads that occur in the building as a whole, the distributed new energy system and the old energy system jointly supply energy according to the strategy instructions.

7. The method according to claim 1, characterized in that, The cloud-based intelligent management and control platform includes a visual human-computer interaction interface for data monitoring, a load forecasting and optimization scheduling algorithm unit, and an equipment fault diagnosis and early warning unit. The load forecasting and optimization scheduling algorithm unit includes the three-dimensional load forecasting model module and the data processing and optimization scheduling algorithm module. The data processing and optimization scheduling algorithm module generates energy scheduling strategies based on external meteorological and electricity price data and the operation monitoring data of new and old energy systems, combined with the prediction results of the three-dimensional load forecasting model module.

8. A new and old energy synergy system for existing industrial and civil buildings, applied to achieve the energy-saving renovation and intelligent control method as described in any one of claims 1 to 7, characterized in that, The system includes: Existing energy system modules include the existing power supply, heating and cooling equipment and their transmission networks in existing industrial and civil buildings; New energy system modules include at least two of the following: distributed photovoltaic devices, ground source or air source heat pump units, distributed energy storage systems, and waste heat recovery devices. The intelligent coupling and switching module is located between the old energy system module and the new energy system module. It is used to realize the grid-connected transmission of electrical energy between different power sources and the switching of the flow direction of cold and hot media between different pipelines. It includes at least an intelligent grid-connected power distribution cabinet and an intelligent switching valve group for cold and hot media. Sensing and monitoring modules are distributed at key nodes in both new and old energy systems to collect real-time information on power parameters, flow rate, temperature, pressure, and equipment operating status. The cloud-based intelligent management and control platform is used to receive and process the data uploaded by the sensing and monitoring module, and, in conjunction with external electricity prices and meteorological information, execute the methods described in claims 1 to 7, and issue control commands to the intelligent coupling and switching module and each energy-consuming device.

9. A computing device readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it can control the hardware devices connected to the computing device to perform the energy-saving renovation and intelligent control method for co-working old and new energy sources in existing industrial and civil buildings as described in any one of claims 1 to 7.

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