15 results about "District cooling" patented technology

The invention relates to an energy-saving control strategy for a medical building air-conditioning ventilation system based on climate change characteristics and load prediction. The energy-saving control strategy comprises the following steps of: acquiring all original data by utilizing various sensors, actuators and the like of a sensing layer; calculating, optimizing and deciding on an intelligent control layer (including building comprehensive cooling and heating load prediction, clean operation department area cooling and heating demand calculation, dynamic water supply temperature optimization, a particle swarm optimization (PSO) algorithm for domain optimization, constraint check and other algorithm modules) on a central management server; and an optimization result is issued to the execution layer and the executed equipment layer, so that energy-saving control is finally realized. The method overcomes the defects that the existing hospital building load prediction technology mostly adopts a macroscopic and rough prediction model, and the global optimization particle swarm optimization algorithm is slow in convergence and long in solving time when coping with a large medical building adopting multiple types of cold and heat source equipment. The device is suitable for large-scale hospital projects in hot-summer and warm-winter areas.

The invention provides a collaborative model prediction control method for a regional cooling system penetrating through a source network load full chain, and belongs to the technical field of intelligent control of cooling systems. Collecting and preprocessing meteorological and operation characteristic data of the system; inputting the data into an Attention-LSTM cold load prediction model, determining an optimal step length in combination with thermal inertia analysis, and outputting a cold load prediction sequence; based on the unified energy path theory, a pipe network quasi-steady-state hydraulic and thermal coupling mechanism model is constructed; by taking load prediction as input and the coupling model as constraint, establishing an optimization model containing three targets of pump consumption power and the like; rolling optimization is carried out by adopting a multi-target particle swarm optimization algorithm, and optimal operation parameters meeting thermal unbalance degree constraints are obtained; and in combination with the peak-valley electricity price, a cold source unit and cold storage device collaborative scheduling strategy is formulated, and a final control instruction is generated. The phenomena of insufficient cold supply at the tail end and local supercooling caused by hydraulic imbalance of a pipe network and large hysteresis characteristics are effectively solved, and optimal control over the operation cost is achieved.

The application relates to the technical field of regional energy, and discloses a source-side multi-energy station and network-side joint energy storage collaborative optimization method, system, terminal and medium, the method comprising the following steps: determining a total cooling capacity prediction value of a regional cooling supply system in the next day and configuration parameters of the regional cooling supply system; according to the total cooling capacity prediction value and the configuration parameters, matching the operation mode of the regional cooling supply system step by step, determining a target operation mode and corresponding distribution information; if the target operation mode is a single-station base-loaded pipe network mode, a multi-station base-loaded pipe network mode or a double-working-condition main machine air conditioner working condition mode, determining a target energy station in the regional cooling supply system, and matching a cold storage pipe section and / or a water storage pool of the target energy station to carry out cold storage; if the target operation mode is a full-station water storage cooling mode or an ice storage water storage cooling mode, starting all energy stations of the regional cooling supply system according to the distribution information, and carrying out pipe network cold storage and water storage pool ice storage or cold storage. The application can improve the energy efficiency of the main machine operation and reduce the cost.

The invention relates to the technical field of circulating water treatment equipment, in particular to a circulating water physical descaling and filtering integrated device for a regional cooling and heating system, which comprises a treatment barrel, a water inlet pipe, a water outlet and a filter screen, the water inlet pipe and the water outlet are communicated with the treatment barrel, and the filter screen is arranged in the treatment barrel. Circulating water tangentially enters the treatment barrel to form rotational flow; the water outlet is formed in the top of the treatment barrel and is used for discharging filtered circulating water; and the filter screen is arranged below the water outlet and is used for filtering the circulating water. Rotational flow is formed in the treatment barrel through the tangential water inlet pipe, and impurities are separated through centrifugal force; the filter screen adopts an elastic suspension structure and is matched with a hydraulic-driven impact mechanism and a rotary scraper, so that the inner wall and the outer wall are synchronously cleaned, and bridging blockage of dirt is effectively prevented. The modular design is convenient to maintain, and has the beneficial effects of high efficiency, energy conservation and no need of external power.

This invention provides an intelligent optimization and energy-saving control algorithm and device for a district cooling system, comprising: a control host, a chiller supply water temperature controller, a pump frequency controller, a chiller, a cooling tower, a pump, a water distributor, a water collector, and district cooling terminals. The control host includes: a CPU, a memory, an analog signal input interface, and an RS485 communication interface. The control host stores a novel intelligent optimization algorithm program based on the concept of national evolution processes. This algorithm possesses excellent global search capabilities in the early stages of iteration, solving the problem of existing optimization algorithms easily getting trapped in local optima. This invention also constructs an optimized energy-saving control model for the district cooling system and utilizes the intelligent optimization algorithm based on national evolution processes to achieve optimized energy-saving control of the district cooling system, maximizing the energy-saving effect of the district cooling system.

The invention discloses a control method, system, equipment and medium for a regional refrigeration system to participate in secondary frequency modulation of a power grid, and belongs to the technical field of power systems, and the method comprises the steps: constructing a system state model for describing the temperatures and cooling water flows of a plurality of regions; predicting the operation state of each region based on a state estimation unit; identifying a sensor fault through an anomaly detection module; under the fault condition, the observation value is replaced based on the prediction state to execute control, and state deviation judgment is carried out; when the deviation exceeds a set threshold value, control strategy switching is executed; and after the state of the fault area recovers and meets the confidence condition, frequency modulation control is accessed again. By combining multivariable Kalman filtering and deep learning, state estimation and adjustment control under an incomplete observation condition are realized, the robustness and fault-tolerant capability of a control system in a fault scene are improved, and the method is suitable for a high-reliability operation scene in which a multi-region cooling system participates in power grid auxiliary service.

The invention relates to a method for operating a charging system (1) for transferring electrical energy to a motor vehicle, comprising the following steps: - Use of a cooling device (2) of the charging system to cool a fluid; - Storage of the cooled fluid in a fluid storage unit (3) of the charging system; and - Discharge of the cooled fluid from the fluid storage tank (3) into a district cooling network (4); and / or - Reception of the cooled fluid from the district cooling network (4) in the fluid storage tank (3).

The invention relates to the cross technical field of artificial intelligence and intelligent control of a heating ventilation air-conditioning system, discloses a cooling load comprehensive scheduling control method based on LSTM load prediction, and aims to solve the problems that load prediction and scheduling optimization are separated, equipment energy consumption coupling modeling is insufficient and electricity price response collaboration is poor in an existing regional cooling system. The method comprises the following steps: carrying out 24-hour cold load prediction based on a six-dimensional input LSTM model; real-time electricity price and predicted load are fused to construct an economic dispatching model with the operation cost minimization as the target, and an electricity price elastic coefficient and a thermodynamic efficiency correction factor are introduced to enhance physical consistency; cooperative control of the refrigerating unit and the cold storage device is achieved based on a dynamic decision matrix of the cold storage tank reserve rate and the load grade; and dynamically adjusting the water pump frequency of the cooling water system according to the pressure difference deviation to optimize the hydraulic performance. The modules are integrated through the central cooperative controller to form a closed-loop scheduling system, and the energy efficiency and the economical efficiency are improved while the cooling load requirement is met.

The invention relates to the technical field of regional cooling system control, in particular to a control method, system and device for a regional cooling system to participate in power grid emergency demand response and a medium. According to the method, a theoretical feasible strategy matrix of emergency demand response of the regional cooling system is formed by acquiring a power grid emergency peak clipping scheduling instruction and operation state parameters of the regional cooling system, and a regional cooling system-building thermal environment coupling simulation model is called; simulating hourly electric power, chilled water flow and chilled water temperature of the system under an emergency demand response theoretical feasible control strategy of the cooling system in all regions, and the temperature and relative humidity of air in a user room to form a theoretical feasible strategy peak clipping effect matrix corresponding to the theoretical feasible strategy matrix; and the optimal regional cooling system emergency demand response strategy is obtained through screening by using an optimization solution algorithm with the maximum profit as the target.

The application discloses a kind of based on master-slave game's regional cooling system supply and demand side collaborative optimization method, comprising the following steps: obtaining the meteorological data and date attribute data of selected city in climatic region, determine typical building type, collect building information;Building energy consumption proxy model of user side is constructed;Cooling load demand is calculated based on building energy consumption proxy model, and target function of user side cooling cost is constructed based on cooling load demand;Cooling station operation model is constructed;Supply and demand side collaborative optimization model between cooling station and user side building is constructed, and building energy consumption proxy model meets thermal comfort constraint;With the maximum cooling income of cooling station and the minimum cooling cost of user side building as optimization goal, master-slave game is carried out between cooling station and cooling user;Supply and demand side collaborative optimization result is obtained by solving.This application includes demand side model in optimization problem to form global optimization, can effectively improve the flexibility of system, improve the stability of regional cooling system under extreme scenario operation.

The invention provides a low-carbon regional cooling and heating integrated system and a working method, and the low-carbon regional cooling and heating integrated system comprises a centralized water chilling unit, a heating boiler, a cold and heat pipe network conveying system, a tail end cold and heat exchange device and an intelligent regulation and control center, and the centralized water chilling unit is connected with the tail end cold and heat exchange device through the cold and heat pipe network conveying system; the cooler is used for cooling a user side; the heat supply boiler is connected with the tail end cold and heat exchange device through the cold and heat pipe network conveying system and used for supplying heat to a user side. The intelligent regulation and control center is connected with the centralized water chilling unit, the heating boiler, the cold and heat pipe network conveying system and the tail end cold and heat exchange device and used for controlling the working states of the centralized water chilling unit, the heating boiler, the cold and heat pipe network conveying system and the tail end cold and heat exchange device. The problems that a traditional system is low in energy efficiency, high in carbon emission and lagged in regulation and control are effectively solved, and efficient, low-carbon and stable supply of regional energy is achieved.

This invention provides a predictive control method for a district cooling system based on a collaborative model spanning the entire power supply, grid, and load chain, belonging to the field of intelligent control technology for cooling systems. The method involves collecting and preprocessing meteorological and operational characteristic data of the system; inputting the data into an Attention-LSTM cooling load prediction model, determining the optimal step size using thermal inertia analysis, and outputting a cooling load prediction sequence; constructing a quasi-steady-state hydraulic-thermal coupling mechanism model of the pipe network based on unified energy path theory; establishing an optimization model with three objectives, including pump power consumption, using load prediction as input and the coupling model as constraints; employing a multi-objective particle swarm optimization algorithm to obtain the optimal operating parameters that satisfy the thermal imbalance constraint; and combining peak-valley electricity pricing to formulate a collaborative scheduling strategy for chiller units and cold storage devices, generating the final control command. This method effectively solves the problems of insufficient terminal cooling supply and localized overcooling caused by hydraulic imbalance and large hysteresis characteristics in the pipe network, achieving optimal control of operating costs.

This invention relates to the field of circulating water treatment equipment technology, specifically to an integrated physical descaling and filtration device for circulating water in district cooling and heating systems. The device includes a treatment tank, an inlet pipe and an outlet connected to the treatment tank, and a filter screen disposed within the treatment tank. The inlet pipe is arranged tangentially to the treatment tank to allow circulating water to enter tangentially and form a vortex. The outlet is located at the top of the treatment tank to discharge filtered circulating water. The filter screen is disposed below the outlet to filter the circulating water. This invention uses a tangential inlet pipe to create a vortex within the treatment tank, utilizing centrifugal force to separate impurities. The filter screen employs an elastic suspension structure, combined with a hydraulically driven impact mechanism and a rotating scraper, to achieve simultaneous cleaning of the inner and outer walls, effectively preventing scale bridging and clogging. Its modular design facilitates maintenance and offers the advantages of high efficiency, energy saving, and no need for external power.

An aspect of the present disclosure provides a district cooling system including a cooling loop configured to cool one or more buildings, a conduit configured to draw water from a water body for cooling the cooling loop and a channel configured to receive the water that has been used to cool the cooling loop and to discharge the water into the water body The channel includes one or more ventilation shafts provided at least partially along the channel to cool the water in the channel. The cooling loop is thermally coupled to and fluidly isolated from the conduit.