17 results about "Ice storage air conditioning" patented technology

The invention discloses an ice storage air-conditioning system optimization control method based on a dynamic programming algorithm, which comprises the following steps: acquiring operation data of an ice storage air-conditioning system in real time, and constructing a directed graph model, directed graph nodes and interconnection weights among the nodes; transferring and converting a cold storage and release operation mode of the ice storage air-conditioning system in a preset optimization time domain into a shortest path for solving the directed graph model; based on a directed graph model, solving a shortest path by using a dynamic programming algorithm; and on the basis of the shortest path, an ice storage air conditioning system control strategy is generated and issued to a system execution layer, and the control strategy comprises but is not limited to a switching decision of a cold storage and release operation mode in each time period of the optimization time domain and an equipment start-stop state. The cold storage and release operation mode is controlled through the dynamic planning method, efficient matching of cold storage air conditioner loads is achieved, the system energy efficiency is improved, the operation cost is reduced, and operation and maintenance operation is simplified.

The invention relates to a simulation model of a large distributed photovoltaic-ice storage air conditioning system and a modeling method. The modeling method comprises the following steps that meteorological parameters of the place where the large distributed photovoltaic-ice storage air conditioning system is located are collected; generating hourly cooling load of the ice storage air-conditioning system through regional comprehensive energy scheme optimization and economic evaluation software; according to the meteorological parameters and the hourly cold load, the area, the arrangement mode and the generating capacity of the solar photovoltaic panels are confirmed; setting parameters of the ice storage air-conditioning system according to the meteorological parameters and the hourly cooling load data; according to the time intervals of refrigeration, ice storage and ice release in the simulated operation state of the ice storage air-conditioning system, a control strategy is set through a related forced function; and according to the simulation operation result of the large distributed photovoltaic-ice storage air conditioning system, the generating capacity of the solar photovoltaic panel, the cold storage capacity of the ice storage device, the inlet and outlet temperature, the refrigerating capacity of the refrigerating machine and the inlet and outlet temperature are output.

The utility model discloses an ice storage air-conditioning system which comprises a refrigeration host (1), a freezing pump (2), an ice melting pump (3), a heat exchanger (6), an ice storage device (7), an electric valve V1 (4) and an electric valve V2 (5), and is characterized in that an inlet of the refrigeration host (1) is connected with an outlet of the freezing pump (2); an outlet of the refrigeration host (1) is divided into two paths through a branch pipeline, one path is connected with an inlet of the V2 electric valve (5), and the other path is connected with a port A of the ice storage device (7); and an inlet of the freezing pump (2) is connected with a primary side outlet of the heat exchanger (6), an inlet of the ice melting pump (3) and an outlet of the V1 electric valve (4). By optimizing the pipeline layout and arranging the independent ice melting pump, five operation working condition modes of ice-making cold storage, ice melting cold supply, refrigeration cold supply, combined cold supply and ice-making and cold supply can be achieved only through two electric valves. The system structure is simplified, energy consumption and control complexity are reduced, and the system is suitable for commercial and industrial buildings and has remarkable economical efficiency and popularization value.

Horizontal tube falling film freezing switching melting ice source heat pump drives multi-effect desalination: the ice source heat pump evaporator provides antifreeze closed-loop cooling capacity, driving multiple sets of horizontal tube falling film freezing heat collectors to extract the falling film freezing latent heat of the open-loop brine flow in parallel, realize multi-effect freezing separation of ice layer and brine, and provide ice storage air conditioning in summer; the condenser provides closed-loop heat, a small amount of which switches to provide the latent heat of melting ice on the inner surface of the ice layer of each set of heat collectors, forcing the remaining ice layer to fall by its own weight, crushed ice, separated by wire mesh and centrifugal separation, while most of it drives the heating cycle and realizes brine concentration simultaneously. The efficient solar energy supplementary heat 0℃ ice melting provides a continuous heat source.

The invention provides an ice storage air conditioning system and a control method thereof, particularly relates to the technical field of air conditioners, and is used for switching working modes so as to reduce the power consumption cost of the ice storage air conditioning system under the condition that the cold consumption requirement is met. The ice storage air-conditioning system comprises a main machine, wherein the main machine comprises a refrigerating loop consisting of a compressor, a condenser, a first throttling device and an evaporator; the ice storage system comprises an ice storage tank, a second throttling device and a refrigerant pump; the switching assembly is used for controlling at least one of the following items: the second end of the ice storage tank is communicated with the first input end of the compressor, the second end of the ice storage tank is communicated with the refrigerant output end of the evaporator, and the refrigerant output end of the evaporator is communicated with the first input end of the compressor; therefore, the ice storage air-conditioning system can be in any one of the following working modes: a main machine refrigeration mode, an ice storage system refrigeration mode, an ice making mode, a main machine and ice storage system combined refrigeration mode and a main machine refrigeration and ice making mode.

The present invention provides a hybrid energy storage air conditioning system of ice storage and water storage and a control method thereof; the system includes an ice storage air conditioning module, a supplementary cooling module, multiple water storage air conditioning modules and a water storage tank parallel switching component. The ice storage air conditioning module and the multiple water storage air conditioning modules correspond to different cooling loads respectively. The supplementary cooling module is used to transfer the cooling capacity stored in the ice storage air conditioning module to any one or more water storage air conditioning modules; the water storage tank parallel switching component is used to switch and distribute the cooling components in the water storage system. The present invention organically combines the water storage system and the ice storage system, giving full play to the advantages of the high energy storage density of ice storage, greatly reducing the energy storage volume of the system, and flexibly configuring multiple water storage systems, giving full play to the advantages of the water storage system's wide energy storage temperature range and high cooling release rate, so that the system can efficiently respond to the energy demand of scenarios with variable cooling temperature zones, large load fluctuations, and frequent changes in peak and valley electricity prices.

The invention relates to the technical field of energy-carbon regulation and control of an ice storage air-conditioning system in a comprehensive energy system, and provides an energy-carbon optimization regulation and control modeling method of the ice storage air-conditioning system in the comprehensive energy system, which comprises the following steps of: establishing an operation mode mathematical model of a refrigeration host of the ice storage air-conditioning system; establishing an operation mode mathematical model of the ice storage equipment of the ice storage air-conditioning system; establishing a combined cooling mode mathematical model of a refrigeration host and ice storage equipment of the ice storage air-conditioning system; an energy-carbon collaborative optimization operation strategy of the ice storage air-conditioning system in the comprehensive energy system is set for the combined cooling mode mathematical model of the refrigeration host and the ice storage equipment of the ice storage air-conditioning system; and an ice storage air-conditioning system regulation potential release energy carbon collaborative optimization operation strategy in the comprehensive energy system is set for the ice storage air-conditioning system refrigeration host and ice storage equipment combined cooling mode mathematical model, and the ice storage air-conditioning system in the comprehensive energy system is formed. The method can provide reference and guidance for operation optimization regulation and control management of the ice storage air-conditioning system in the comprehensive energy system.

The application discloses an ice storage air conditioner operation scheduling method based on variable air volume control. Historical statistical data of city refrigeration load are acquired, and then a building internal setting temperature curve is fitted, and a load typical operation scene is generated based on the historical statistical data of city refrigeration load; the building internal setting temperature curve is constrained according to preset human comfort boundary conditions, upper and lower boundary curves of the building internal setting temperature curve are obtained, and then are converted into a building refrigeration demand curve; a model constraint condition is constructed according to the building refrigeration demand curve, and then an ice storage air conditioner operation optimization model based on variable air volume control is constructed; the load typical operation scene is input into the ice storage air conditioner operation optimization model based on variable air volume control to obtain a scheduling result. The application can further release the regulation potential of the ice storage air conditioner, expand the power system demand response load resource pool, and improve the supply and demand balance ability of the power grid to cope with the randomness and fluctuation of new energy output.

The present application relates to ice storage air conditioning energy saving technical field, particularly point to a kind of ice storage air conditioning energy saving prediction method and device, the method comprises: S1, the index parameter of input training sample's ice storage air conditioning operation time to energy saving prediction model, the index parameter includes as follows any two kinds: temperature when refrigeration machine refrigeration, refrigeration machine condensing pressure, ice volume, ice capacity constraint, system cold balance rate, electric balance weight coefficient, air conditioning cold and heat load coefficient, compressor refrigeration power, between refrigerant and ice water mixture Heat exchange efficiency;S2, the energy saving prediction model is trained by adjusting the weight of the energy saving prediction model, until the construction of the energy saving prediction model is completed;S3, the energy saving situation of the ice storage air conditioning to be predicted is predicted using the energy saving prediction model built.The present application can be well predicted to the energy saving situation of the ice storage air conditioning to be predicted.

The invention discloses an airport terminal ice storage amount measuring and calculating method based on daily cooling load total amount prediction, and the method comprises the following steps: S1, constructing a daily cooling load total amount prediction neural network model, learning the corresponding relationship between the total daily cooling load in the historical data samples of the airport terminal ice storage air conditioning system and the outdoor meteorological parameters of the airport terminal and the total number of daily arrival and departure flights; s2, outdoor meteorological parameters from weather forecast data and the total number of daily arrival and departure flights from an airport dispatching system on the current day are collected and predicted, the outdoor meteorological parameters and the total number of daily arrival and departure flights are input into the daily cooling load total amount prediction neural network model for prediction after preprocessing, and a predicted value of the daily cooling load total amount is output; s3, based on the daily cooling load total amount prediction value, if the prediction value is lower than the maximum ice storage amount of an ice storage tank of the ice storage air conditioning system, ice is stored according to the prediction value; and if the predicted value is greater than or equal to the maximum ice storage amount of the ice storage tank, storing ice according to the maximum ice storage amount of the ice storage tank. The ice storage amount of the air conditioning system is accurately measured and calculated.

The application discloses a kind of park integrated energy system double-layer optimization scheduling method and system, method includes: constructing park integrated energy system operation framework, modeling each equipment in operation framework;Establish the vehicle-to-grid interaction model considering the temporal and spatial distribution characteristics and charging and discharging behavior of electric vehicles, and the ice storage air conditioning load model;Set considering the PIES double-layer optimization scheduling strategy of vehicle-to-grid interaction and ice storage air conditioning coordination, define upper layer as PIES energy scheduling layer, lower layer as flexible load response layer;Solve electric vehicle optimization model and ice storage air conditioning optimization model, solve system operation cost optimization model, according to the solution result, each equipment in park integrated energy system is optimized and dispatched;The application has the advantages that: EV and IAC are deeply integrated, and collaborative scheduling is carried out, and double-layer optimization scheduling strategy is used, so that economic and low-carbon operation of system level is realized under the premise of guaranteeing user energy cost and comfort.

This invention discloses a microgrid collaborative optimization scheduling method and system. The method includes: establishing mathematical models of various equipment units in the microgrid, including wind power generation systems, photovoltaic power generation systems, energy storage systems, diesel generators, electric vehicle clusters, and ice storage air conditioning; constructing an optimization objective function with the goal of minimizing the total operating cost of the system; setting system constraints, including power balance constraints, equipment power constraints, energy storage constraints, electric vehicle SOC constraints, and ice storage air conditioning capacity constraints; adjusting the operating parameters of the mathematical models of each equipment unit under the premise of satisfying the system constraints, so that the optimization objective function reaches its minimum value; and optimizing the scheduling of each equipment unit based on the solved operating parameters. The advantages of this invention are: fully leveraging the collaborative scheduling potential of emerging schedulable resources such as electric vehicle clusters and ice storage air conditioning systems, and effectively addressing the uncertainties of renewable energy.

The application discloses a kind of building energy consumption optimization methods based on multi-agent.The method comprises: establishing multiple independent agents, at least including first agent and second agent;The first agent is the energy consumption dynamic operation model of electric vehicle charging and discharging system as controlled object, and the second agent is the energy consumption dynamic operation model of ice storage air conditioning system as controlled object;A Markov game model is established for the multiple independent agents;The Markov game model is solved, and the optimization strategy is output.The technical scheme in the embodiment of the application establishes agent for air conditioner and electric vehicle in main energy consumption of building respectively, and realizes more accurate energy consumption control and optimization through the cooperation between multi-agent.

The invention discloses a control strategy adjusting method based on a photovoltaic ice storage air conditioner, and relates to the technical field of ice storage air conditioner control. According to the prediction transformation curve, the optimal refrigeration duration of the evaporator at the real-time environment temperature is obtained and output, and the technical problem that a traditional ice storage air conditioning system does not fully consider the influence of the environment temperature change on the growth of ice blocks of the evaporator in the aspect of a control strategy is solved. By obtaining and analyzing the position data of the solid-liquid interface of the evaporator at different environment temperatures, the optimal refrigeration duration of the evaporator at the real-time environment temperature can be accurately predicted, the problem that ice blocks grow insufficiently or grow too early due to environment temperature changes is solved, and the refrigeration efficiency and the ice storage effect of the ice storage system are improved.

The invention discloses a report calculation method and device for auxiliary service participation of park users and a medium, and relates to the technical field of report boundary analysis and report calculation evaluation for auxiliary service participation of park users, virtual power plants and load aggregators. The method comprises the following steps: acquiring park source load data through a historical data and source load prediction two-class method; a quantity reporting boundary model of the park photovoltaic ice storage air-conditioning system is constructed, and the quantity reporting boundary of the park photovoltaic ice storage air-conditioning system participating in the valley filling auxiliary service market is clearly quantified; and proposing a report optimization strategy, solving the optimal declaration capacity through global optimization, and completing the calculation of the optimal report. According to the invention, the source load data information of the park is obtained through historical data or source load prediction, so that the collection of various kinds of source load information is facilitated, the collaborative optimization of the joint participation of various kinds of flexible resources in the market can be met, and the long-term participation of users in valley filling auxiliary services in the park is ensured.

The present application relates to a kind of ice storage air conditioning system economy and responsiveness dual-objective optimization model predictive control method, including S1, based on the building measured data and prediction algorithm after preprocessing, load prediction model is established;S2, establishment equipment energy consumption model based on least square method and equipment dynamic response model based on transfer function;S3, the model predictive control algorithm model of economy and responsiveness dual optimization target is established.The present application not only maximizes the building peak power consumption, relieves the power grid peak power consumption pressure, reduces the user power cost by responding to the electricity price policy when ice storage air conditioning system control strategy is formulated;And when strategy implementation control, after the optimal cold distribution demand response strategy is formulated, higher control accuracy and more ideal economic benefits can be realized by tracking optimization to control target.

The invention discloses an ice storage air-conditioning system load prediction method and device based on an improved deep belief network, and the method comprises the steps: constructing an IGA-DBN model, selecting a group of optimal initial weights and threshold values for a DBN through employing IGA, overcoming the selection randomness of the initial value of the DBN, improving the convergence speed of the DBN, and improving the capability of escaping local optimum. Then constructing a training set to train the DBN to obtain an air conditioner load prediction model; and the model is used for air-conditioning load prediction. According to the method, the randomness of initial data selection of a traditional DBN model can be overcome, the higher convergence speed and the capability of escaping local optimum are realized, and the prediction precision is effectively improved.