Low-carbon high-speed service area system integrating waste heat recovery, photovoltaic power generation and intelligent energy storage

Abstract

The invention relates to the technical field of energy conservation, environmental protection and building energy management, and discloses a low-carbon high-speed service area system integrating waste heat recovery, photovoltaic power generation and intelligent energy storage, which comprises a waste heat recovery module, a photovoltaic power generation module, an energy storage module, an intelligent control module and a carbon emission reduction statistics and feedback module, all the modules work cooperatively to form an integrated energy-saving and carbon-reducing system, when the low-carbon high-speed service area system integrating waste heat recovery, photovoltaic power generation and intelligent energy storage is used, a stable heat source can be provided for domestic hot water through the waste heat recovery module, power self-supply of a service area is achieved through the photovoltaic power generation module, and energy conservation and emission reduction are achieved. The energy storage module stabilizes power supply during power generation fluctuation, the intelligent control module guarantees efficient cooperative work of all the modules, the autonomous learning module automatically distributes heat storage and power storage resources according to historical data and demand prediction, and the system stably operates under peak or fluctuation conditions. And the carbon emission reduction statistical module provides data support for low-carbon benefits of the system.

Description

Technical Field

[0001] The present invention relates to the technical field of energy conservation, environmental protection and building energy management, and specifically to a low-carbon high-speed service area system integrating waste heat recovery, photovoltaic power generation and intelligent energy storage. Background Art

[0002] In recent years, with the rapid growth of traffic volume and car ownership, the number of service areas based on highway construction has also gradually increased, becoming an important place for people to replenish, rest and consume during their journey. Highway service areas usually include a variety of facilities such as restaurants, toilets, shopping areas, gas stations, charging stations, etc., and with high traffic, significant energy consumption is generated. In the current service area facilities, the use of equipment such as air conditioners, kitchens, and charging piles is in high demand, making service areas a high-energy-consuming operation site. In addition, in the hot summer, the high-temperature exhaust gas from the air-conditioning outdoor unit and the kitchen is directly discharged into the environment, which not only leads to energy waste, but also increases the thermal environment burden of the service area; and charging piles, as an important part of the highway service area facilities, often require a large amount of electricity supply in high-frequency use day and night. The peak energy consumption of the service area occurs during the day, especially during the high temperature period in summer and when the traffic volume increases during holidays, which creates a large demand pressure on traditional electricity.

[0003] Some high-speed service areas have tried to carry out energy-saving renovations through facilities such as photovoltaic roofs, converting solar energy into electricity for building lighting or powering charging piles. However, most existing photovoltaic systems have not achieved intelligence and integration, and usually can only cover parking lots or rooftop areas. It is difficult to generate electricity stably when the light angle fluctuates. At the same time, they have not combined waste heat recovery and energy storage technology to effectively integrate decentralized power generation and waste heat recovery resources. Especially in areas such as parking lots that have high requirements for environmental comfort, traditional photovoltaic facilities are difficult to take into account the needs of shading, cooling and power generation.

[0004] On the other hand, the waste heat resources in the service area have not been fully utilized, and a large amount of waste heat emitted by air conditioners and kitchens is directly dissipated into the air without being recycled and reused. While such equipment is running continuously, the condensation heat and exhaust gas released to the outside world are not only a waste of energy, but also increase the carbon emissions of the service area. In addition, the energy management system of the service area is mostly a single energy consumption monitoring, lacks intelligent regulation and demand forecasting, and cannot allocate electricity and waste heat resources according to actual conditions. It is difficult to accurately allocate resources during peak demand or fluctuations in photovoltaic power generation, which affects the stability of the system. Therefore, designing a low-carbon energy-saving system that integrates waste heat recovery, photovoltaic power generation, intelligent control and energy storage management to form a more stable energy supply, dynamic resource allocation, and achieve multi-energy coordinated optimization and utilization has become a key development direction for green buildings and carbon emission reduction. Summary of the invention

[0005] The purpose of the present invention is to provide a low-carbon high-speed service area system integrating waste heat recovery, photovoltaic power generation and intelligent energy storage, so as to solve the problems proposed in the above background technology that the waste heat resources in the service area are not fully utilized, the photovoltaic system is not intelligent and integrated, and the energy management system of the service area is mostly a single energy consumption monitoring, lacking intelligent regulation and demand forecasting.

[0006] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a low-carbon high-speed service area system integrating waste heat recovery, photovoltaic power generation and intelligent energy storage, comprising a waste heat recovery module, a photovoltaic power generation module, an energy storage module, an intelligent control module and a carbon emission reduction statistics and feedback module, wherein the modules work together to form an integrated energy-saving and carbon reduction system, wherein the waste heat recovery module is used to recover the waste heat of the air-conditioning outdoor unit and the kitchen exhaust system in the high-speed service area through a heat recovery heat exchanger, wherein the photovoltaic power generation module adopts cadmium telluride photovoltaic glass and is applied to the roof and facade of the parking lot building and the service area building, which not only realizes solar power generation, but also has the function of shading and cooling, wherein the energy storage module comprises a battery energy storage system and a thermal energy storage system, wherein the battery energy storage system can store the excess electricity generated by the photovoltaic power generation module, and the thermal energy storage system is used to store the heat energy generated by the waste heat recovery module, and the intelligent control module comprises a real-time data monitoring system, a dynamic optimization and control system, a load distribution prediction system and an autonomous learning module.

[0007] Preferably, the real-time data monitoring system is used to monitor the waste heat recovery amount, photovoltaic power generation and electricity and hot water demand in the service area, ensuring the real-time and accuracy of energy data, while obtaining meteorological data and passenger flow information through sensors.

[0008] Preferably, the dynamic optimization and control system is used to automatically adjust the allocation priority of photovoltaic power generation and waste heat utilization according to the actual needs of the service area, to ensure the power demand of charging piles, air conditioning and lighting systems, and to regulate the hot water supply path, to intelligently reduce non-core loads when waste heat is insufficient or power generation fluctuates.

[0009] Preferably, the load distribution prediction system is based on a machine learning algorithm and combines historical data to predict peak demand, power usage and power generation, allocate resources in advance, and reduce the impact of supply and demand fluctuations on the system.

[0010] Preferably, the autonomous learning module uses artificial intelligence algorithms to adaptively learn user needs and sunshine patterns, and automatically optimizes energy scheduling strategies. As historical data accumulates, the intelligent system gradually optimizes energy priorities and allocation strategies to further improve energy utilization efficiency. The autonomous learning module uses artificial intelligence algorithms to adaptively learn user needs and sunshine patterns, and automatically optimizes energy scheduling strategies. As historical data accumulates, the intelligent system gradually optimizes energy priorities and allocation strategies to further improve energy utilization efficiency.

[0011] Preferably, the carbon emission reduction statistics and feedback module includes a carbon emission reduction real-time monitoring system and a carbon emission reduction reporting and feedback system. The carbon emission reduction real-time monitoring system calculates the system's carbon emission reduction effect in real time based on the carbon emission factor, photovoltaic power generation, waste heat recovery and saved city electricity consumption. The carbon emission reduction reporting and feedback system generates periodic carbon emission reduction reports for management decision-making, carbon subsidy application and external display. Managers can intuitively understand the system's low-carbon effectiveness through the report and further optimize system operation based on the data.

[0012] Compared with the prior art, the present invention has the following beneficial effects:

[0013] The low-carbon high-speed service area system of the present invention integrates waste heat recovery, photovoltaic power generation and intelligent energy storage. Through the waste heat recovery from air conditioners and kitchens, waste heat is converted into domestic hot water, which reduces the service area's dependence on city electricity and effectively reduces carbon emissions. The design of the waste heat recovery module realizes the multi-level utilization of thermal energy and improves the overall energy efficiency of the system.

[0014] The photovoltaic glass used in the parking lot and building facades in the low-carbon high-speed service area system of the present invention, which integrates waste heat recovery, photovoltaic power generation and intelligent energy storage, not only has high-efficiency power generation performance, but also performs stably under different sunlight angles, and can provide the main power supply for charging piles and buildings. Its sunshade and cooling function effectively improves the temperature of the parking lot and building, improves the user comfort of the service area and reduces the load of the air conditioning system.

[0015] The intelligent control module of the low-carbon high-speed service area system integrating waste heat recovery, photovoltaic power generation and intelligent energy storage of the present invention stores and distributes the excess energy of photovoltaic power generation and waste heat recovery through autonomous learning and real-time monitoring combined with the energy storage system. The system intelligently distributes energy storage and waste heat resources according to the peak demand period, weather changes and passenger flow forecast, giving priority to meeting the needs of charging piles, air conditioning and hot water, ensuring stable power supply at night and during periods of insufficient power generation, and improving the intelligence and continuity of resource supply.

[0016] The low-carbon high-speed service area system of the present invention, which integrates waste heat recovery, photovoltaic power generation and intelligent energy storage, uses a carbon emission reduction statistics and feedback module to quantify the carbon emission reduction effect brought by photovoltaic power generation and waste heat recovery in real time, so that managers can clearly understand the energy-saving and emission reduction benefits of the system and form regular carbon emission reduction reports. This data support facilitates the acquisition of green building certification and policy subsidies, while improving the social recognition and application value of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 This is a structural block diagram of the present invention integrating waste heat recovery, photovoltaic power generation and intelligent energy storage system;

[0018] Figure 2 It is a structural block diagram of the waste heat recovery module in the present invention;

[0019] Figure 3 Schematic diagram of the main structure of the waste heat recovery module in the present invention;

[0020] Figure 4 It is a schematic diagram of the main structure of the photovoltaic power generation module in the present invention; DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of the invention to clearly and completely describe the technical solutions in the embodiments of the invention. Obviously, the described embodiments are only part of the embodiments of the invention, not all of the embodiments. The specific implementation methods are as follows:

[0022] See also Figure 1-Figure 4The present invention provides a technical solution: a low-carbon high-speed service area system integrating waste heat recovery, photovoltaic power generation and intelligent energy storage, including a waste heat recovery module, a photovoltaic power generation module, an energy storage module, an intelligent control module and a carbon emission reduction statistics and feedback module. The modules work together to form an integrated energy-saving and carbon reduction system. The waste heat recovery module is used to recover the waste heat of the air-conditioning outdoor unit and the kitchen exhaust system in the high-speed service area through a heat recovery heat exchanger. The photovoltaic power generation module uses cadmium telluride photovoltaic glass applied to the parking lot ceiling and the roof and facade of the service area building, which not only realizes solar power generation, but also has shading and cooling functions. The energy storage module includes a battery energy storage system and a thermal energy storage system. The battery The energy storage system can store the excess electricity generated by the photovoltaic power generation module, the thermal energy storage system is used to store the heat energy generated by the waste heat recovery module, and the intelligent control module includes a real-time data monitoring system, a dynamic optimization and regulation system, a load distribution prediction system and an autonomous learning module; the waste heat recovery module provides a stable heat source for domestic hot water, the photovoltaic power generation module realizes self-sufficiency in electricity in the service area, the energy storage module stabilizes the power supply when power generation fluctuates, the intelligent control module ensures the efficient coordination of various modules, and the autonomous learning module automatically allocates heat storage and electricity storage resources according to historical data and demand forecasts. The system operates stably under peak or fluctuating conditions, and the carbon emission reduction statistics module provides data support for the low-carbon benefits of the system.

[0023] Waste heat recovery module: When the hot air generated by the kitchen stove passes through the heat exchanger (plate heat exchanger), the water in the adjacent channel is heated, and a heat exchanger is set between the high-temperature refrigerant discharged from the compressor of the air conditioner and the medium (water) that needs to be heated. When the high-temperature refrigerant flows in the heat exchanger, the heat is transferred to the medium (water) to increase its temperature, thereby realizing heat recovery. Specifically, the cold water first enters the kitchen waste heat recovery device, and undergoes preliminary heat exchange with the heat of the kitchen exhaust system, and the temperature rises to 25-30°C; then the warm water flows into the waste heat recovery device of the air conditioner outdoor unit and is further heated to about 40°C through the heat exchanger. The warm water is stored in the hot water storage tank as a domestic hot water supply in the service area. The waste heat recovery module reduces the direct discharge of kitchen and air conditioning exhaust heat, reduces the environmental heat burden and energy consumption, and the excess hot water will enter the thermal energy storage system for storage.

[0024] Photovoltaic power generation module: Cadmium telluride photovoltaic modules are used in the roofs and facades of parking lot roofs, service area buildings, and generate electricity while providing sunshade and cooling functions. The electricity generated by the photovoltaic modules on the parking lot roof is first supplied to charging piles and parking lot lighting, while the photovoltaic modules on the roofs and facades provide power support for the daily electricity consumption of service area buildings (such as air conditioning and lighting), maximizing the use of natural light energy resources.

[0025] Energy storage module;

[0026] Battery energy storage system: The excess electricity generated by the photovoltaic power generation module is stored through the battery energy storage system, especially when there is sufficient sunlight during the day but insufficient demand, and the stored electricity is used for power support at night or on rainy days. This battery system can use high-energy-density lithium batteries or lithium titanate batteries to ensure long life and safety. The stored electricity is used first for charging piles and nighttime lighting systems to ensure stable power supply during peak power consumption and extreme weather.

[0027] Thermal energy storage system: The thermal energy storage system is used to store the heat energy generated by the waste heat recovery module, especially when there is sufficient waste heat during peak hours but the demand for domestic hot water is low. The excess heat is stored in phase change heat storage materials or high-efficiency insulated water tanks for use at night or when the demand for hot water increases suddenly. This module greatly improves the efficiency of thermal energy utilization and ensures a stable supply of hot water at night and in winter when the demand for hot water increases.

[0028] Intelligent control module;

[0029] Real-time data monitoring system: Real-time monitoring of waste heat recovery, photovoltaic power generation, energy storage status, electricity demand and meteorological data to ensure the system's comprehensive control of resource conditions and provide real-time data support for the autonomous learning module.

[0030] Dynamic optimization and control system: The system automatically adjusts the allocation priority of photovoltaic power generation and waste heat utilization according to the actual needs of the service area, ensures the power demand of charging piles, air conditioning and lighting systems, and adjusts the hot water supply path at the same time, intelligently reducing non-core loads when waste heat is insufficient or power generation fluctuates.

[0031] Load distribution prediction system: Based on machine learning algorithms, it combines historical data to predict peak demand, power usage and power generation, allocate resources in advance, and reduce the impact of supply and demand fluctuations on the system

[0032] Self-learning system: The self-learning system uses machine learning algorithms to predict peak demand, power load and waste heat demand based on historical energy consumption data, traffic data, meteorological data, etc. For example, it can predict peak demand during hot weather or holidays in advance and adaptively adjust the reserves of hot water and electricity. The module can also optimize the system's energy allocation strategy based on actual usage habits, automatically adjust load priorities, and ensure balanced supply of resources in different time periods.

[0033] Carbon emission reduction statistics and feedback module;

[0034] Real-time monitoring system for carbon emission reduction: Through the carbon emission factor, the system calculates the carbon emission reduction effect of the system in real time based on the photovoltaic power generation, waste heat recovery and saved mains power consumption. This function uses standard carbon emission factors (such as carbon emissions per kilowatt-hour) to quantitatively display the energy-saving and environmental benefits of the system.

[0035] Carbon reduction report and feedback system: Generate periodic carbon reduction reports, such as daily, weekly or monthly, to summarize and report carbon reduction effects and energy-saving data for management decision-making, carbon subsidy application and external presentation. Managers can intuitively understand the low-carbon effectiveness of the system through the report and further optimize system operation based on the data.

[0036] Based on the embodiments of the invention, all other embodiments obtained by ordinary technicians in this field without making any creative work shall fall within the scope of protection of the invention.

Claims

1. A low-carbon high-speed service area system integrating waste heat recovery, photovoltaic power generation and intelligent energy storage, including a waste heat recovery module, a photovoltaic power generation module, an energy storage module, an intelligent control module and a carbon emission reduction statistics and feedback module. The modules work together to form an integrated energy-saving and carbon reduction system, characterized in that: The waste heat recovery module is used to recover the waste heat of the air-conditioning outdoor unit and kitchen exhaust system in the high-speed service area through a heat recovery heat exchanger. The photovoltaic power generation module uses cadmium telluride photovoltaic glass and is applied to the parking lot ceiling and the roof and facade of the service area building. It not only realizes solar power generation, but also has the function of shading and cooling. The energy storage module includes a battery energy storage system and a thermal energy storage system. The battery energy storage system can store the excess electricity generated by the photovoltaic power generation module, and the thermal energy storage system is used to store the heat energy generated by the waste heat recovery module. The intelligent control module includes a real-time data monitoring system, a dynamic optimization and regulation system, a load distribution prediction system and an autonomous learning module.

2. A low-carbon high-speed service area system integrating waste heat recovery, photovoltaic power generation and intelligent energy storage according to claim 1, characterized in that: The real-time data monitoring system is used to monitor the waste heat recovery amount, photovoltaic power generation and electricity and hot water demand in the service area, ensuring the real-time and accuracy of energy data, and at the same time obtaining meteorological data and passenger flow information through sensors.

3. A low-carbon high-speed service area system integrating waste heat recovery, photovoltaic power generation and intelligent energy storage according to claim 1, characterized in that: The dynamic optimization and control system is used to automatically adjust the allocation priority of photovoltaic power generation and waste heat utilization according to the actual needs of the service area, to ensure the power demand of charging piles, air conditioning and lighting systems, and to regulate the hot water supply path, and intelligently reduce non-core loads when waste heat is insufficient or power generation fluctuates.

4. A low-carbon high-speed service area system integrating waste heat recovery, photovoltaic power generation and intelligent energy storage according to claim 1, characterized in that: The load distribution prediction system is based on a machine learning algorithm and combines historical data to predict peak demand, power usage and power generation, allocate resources in advance, and reduce the impact of supply and demand fluctuations on the system.

5. A low-carbon high-speed service area system integrating waste heat recovery, photovoltaic power generation and intelligent energy storage according to claim 1, characterized in that: The autonomous learning module uses artificial intelligence algorithms to adaptively learn user needs and sunshine patterns, and automatically optimizes energy scheduling strategies. As historical data accumulates, the intelligent system gradually optimizes energy priorities and allocation strategies to further improve energy utilization efficiency. The autonomous learning module uses artificial intelligence algorithms to adaptively learn user needs and sunshine patterns, and automatically optimizes energy scheduling strategies. As historical data accumulates, the intelligent system gradually optimizes energy priorities and allocation strategies to further improve energy utilization efficiency.

6. A low-carbon high-speed service area system integrating waste heat recovery, photovoltaic power generation and intelligent energy storage according to claim 1, characterized in that: The carbon emission reduction statistics and feedback module includes a carbon emission reduction real-time monitoring system and a carbon emission reduction reporting and feedback system. The carbon emission reduction real-time monitoring system uses the carbon emission factor to calculate the system's carbon emission reduction effect in real time based on photovoltaic power generation, waste heat recovery and saved city electricity consumption. The carbon emission reduction reporting and feedback system generates periodic carbon emission reduction reports for management decision-making, carbon subsidy application and external display. Managers can intuitively understand the system's low-carbon effectiveness through the report and further optimize system operation based on the data.

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