11 results about "Ice storage air conditioning" patented technology

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.

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 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 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 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.