28 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 invention provides an energy-saving optimization control method and system of a regional cooling system based on a tribe intelligent evolutionary algorithm, and relates to the technical field of regional cooling system optimization control, and the method comprises the steps: obtaining the operation data of the regional cooling system; based on the operation data, constructing a comprehensive energy consumption model of the regional cooling system with non-control parameters and control parameters of the regional cooling system as inputs; determining an objective function and constraint conditions of the comprehensive energy consumption model; under the constraint of the constraint condition, with the minimum function value of the target function value as the target, optimizing the control parameters of the comprehensive energy consumption model by using a tribe intelligent evolutionary algorithm, and outputting the optimal control parameters; and performing energy-saving optimization control on the regional cooling system according to the optimal control parameters. According to the method, the model can be effectively prevented from falling into local optimum by utilizing the tribe intelligent evolutionary algorithm, the generated optimal control parameters can realize energy-saving optimization of the system, the optimization requirements of the complex cooling system are met, and the energy-saving optimization capability is remarkably improved.

The invention belongs to the technical field of air conditioning system control, and discloses a heating ventilation air conditioning system energy consumption optimization method, device and equipment and a storage medium. Exporting the physical model of the heating ventilation air-conditioning system as an FMU file; an FMU file is loaded through an interface of Python, and an optimization solution algorithm is constructed; obtaining operation parameters of the target equipment based on the current cooling load by utilizing an optimization solution algorithm; the method comprises the steps that target equipment operation parameters are issued to register addresses of corresponding point positions of a heating ventilation air conditioning system to achieve energy consumption optimization control, a regional cooling system model is established by adopting a Buildings library in Modelica, the lowest power consumption serves as an optimization target, the genetic algorithm is used for solving the optimal operation working condition parameters of all subsystems under the condition that the cooling capacity supply requirement is met, and the optimal operation working condition parameters of all the subsystems are calculated according to the optimal operation working condition parameters of all the subsystems under the condition that the cooling capacity supply requirement is met. The problem of multi-device linkage can be solved, and automatic optimization control can be carried out on a complex system through a computer technology without depending on experience.

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 provides a regional cold source system pump set group control optimization method, device and equipment. Relates to the field of regional cold source systems. The method comprises the following steps: for a building in each partition, determining a cooling load at a (t + t) th moment based on a cooling load at a t th moment and a cooling load at a (t-t) th moment; on the basis of the cooling load of the building in each subarea at the t + t moment and the expected supply and return water temperature difference of the chilled water, the expected operation flow of conveying and distributing the chilled water by the pump set in each subarea at the t + t moment is determined; and aiming at the pump set of each subarea, optimizing the running number and the running frequency of the pumps in the pump set based on the expected running flow of the pump set for conveying and distributing chilled water at the (t + t) th moment and the full-frequency running flow of the pump set to obtain the target running number and the target running frequency of the pumps in the pump set at the (t + t) th moment. The method can reduce the invalid loss of the cooling capacity and improve the energy utilization efficiency.

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.

The invention discloses a fuzzy PID control method and system for a regional cooling system, and the method comprises the steps: collecting the real-time temperature and target room temperature of a building in the regional cooling system, and inputting a PID; fuzzifying the input quantity through a preset fuzzy rule; performing defuzzification processing by using a local weighted gravity center method to obtain a corrected PID parameter, thereby determining the adjustment amount of each sub-region; and inputting the adjustment amount into PID to realize temperature regulation and control of the regional cooling system. The advantages of fuzzy control and traditional PID control are combined, temperature data are collected in real time, PID parameters are adjusted through fuzzy rules, ambiguity resolution is conducted through a local weighting gravity center method, the cooling capacity of all sub-areas is dynamically adjusted, and therefore more accurate and stable temperature control is achieved.

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 utility model provides an air conditioning system which comprises a plurality of refrigeration main machines and end devices arranged on working faces respectively, the cold supply sides of the refrigeration main machines are sequentially connected in series through a main water supply pipe, and branch water supply pipes of the working faces are connected to the water supply end of the tail end of the main water supply pipe in parallel. Bypass branches directly connected with the branch water supply pipes are further connected to the main water supply pipeline between every two adjacent refrigeration main machines, so that a plurality of water supply ends with different water supply temperatures are formed on the main water supply pipeline; the bypass branch is provided with a valve assembly and a water pump and used for switching the water supply ends connected with the branch water supply pipes. By optimizing the chilled water supply scheme, the cold supply requirements of different loads and different areas can be met at the same time, the energy consumption of the whole system is reduced, and the comfort of the system is improved.

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 present invention discloses a three-stage series internal and external ice melting ultra-low temperature district cooling equipment and its usage method, which relates to the technical field of ultra-low temperature district cooling equipment. It includes a chilled water circulation system, a base load refrigeration system, a dual-condition refrigeration system, and an ice melting system. By means of a three-stage series setting, multiple cooling conditions are provided to reduce the consumption of peak electricity during the cooling process, achieve peak shaving operation, reduce the cooling cost, and reduce the pipe network transmission and distribution energy consumption and investment. The series connection of the base load main engine and the dual-condition main engine plate heat exchanger can reduce the temperature of the chilled water below 5°C, and the ice melting plate heat exchanger can reduce the temperature of the chilled water below 2°C. Thus, when the chilled water is output through the water distributor, a larger temperature difference can be formed with the water collector, realizing rapid cooling with a large temperature difference.

The application relates to a cold storage tank-based regional cooling supply system, which comprises a three-stage cold storage tank group, an intelligent prediction module, an optimization control module and a cold storage execution unit; wherein the three-stage cold storage tank group comprises physically isolated deep cold tanks, medium cold tanks and shallow cold tanks, the medium cold tanks wrap the deep cold tanks to form a concentric structure, and a heat transfer integrated interface is arranged between the deep cold tanks and the medium cold tanks to transfer residual cold; the intelligent prediction module is used for outputting a park future 72-hour load curve and a load change rate through a preset load prediction model; the optimization control module is used for calculating a global priority index P through a preset index calculation formula according to a park real-time electricity price, a real-time cold storage rate of the three-stage cold storage tank group and the load change rate; and the cold storage execution unit is used for executing cold storage and cold release operations according to the global priority index P. The application has the effect of improving the cold storage efficiency and realizing dynamic supply-demand balance.

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.

The present invention discloses a device and method for adjusting the concentration of ice slurry transported by pipelines of a regional cooling system, wherein the device comprises an adjusting inner tube, one end of the adjusting inner tube being an inlet section, and the other end being an outlet section, an overflow section located in an outer shell of the adjusting inner tube being provided between the inlet section and the outlet section, the overflow section being provided with multiple rows of overflow holes, the outer walls of the multiple rows of overflow holes being slidably connected with anti-blocking scrapers, the anti-blocking scrapers being connected to a scraper driving mechanism, and a recovery outlet pipe being connected to the bottom of the outer shell of the adjusting inner tube. When the load of the end-user building changes, the present invention can avoid the latent heat loss and pipeline blockage risk caused by the quality regulation and quantity regulation of the regional cooling system, and improve the energy saving and applicability of the ice slurry concentration adjusting device and method. To provide engineering technical support for improving the cold transport efficiency of the transmission and distribution pipeline network of the regional cooling system.

The invention relates to a regional cold supply system based on cold storage tanks. The regional cold supply system comprises a three-stage cold storage tank group, an intelligent prediction module, an optimization control module and a cold storage execution unit, wherein the three-stage cold storage tank group comprises a deep cooling tank, an intercooling tank and a shallow cooling tank which are physically isolated, the intercooling tank wraps the deep cooling tank to form a concentric structure, and a heat transfer integrated interface is arranged between the deep cooling tank and the intercooling tank and used for transferring residual cold; the intelligent prediction module is used for outputting a future 72-hour load curve and a load change rate of the park through a preset load prediction model; the optimization control module is used for calculating a global priority index P through a preset index calculation formula according to the real-time electricity price of the park, the real-time cold storage rate of the three-stage cold storage tank group and the load change rate; and the cold storage execution unit is used for executing cold storage and cold release operation according to the global priority index P. The method has the effects of improving the cold storage efficiency and achieving dynamic supply and demand balance.

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.

1. The name of the product of this design: double-layer air conditioner. 2. Purpose of this product design: Integrates the functions of indoor and outdoor units for district cooling. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the key points of the design: Design 1 3D drawing. 5. Designate Design 1 as the base design.

The present disclosure provides a daytime cooling release method and system for regional terminal users. The daytime cooling release method includes: dividing each area into several cooling release zones; summarizing the daytime cooling release capacity of all cooling storage facilities in each cooling release zone, and comparing the difference in daytime cooling release capacity in adjacent cooling release zones; borrowing the daytime cooling release capacity or the daytime cooling capacity of other cooling release zones for cooling release zones with larger differences; first using the daytime cooling release capacity to cool the cooling release zone, and then using the daytime cooling capacity of the current cooling release zone or the adjacent cooling release zone to cool the current cooling release zone. The daytime cooling release system is based on the above-mentioned daytime cooling release method. The present invention provides cooling to a region by first releasing cooling and then cooling, and borrowing the cooling capacity of the adjacent cooling release zones. It can not only quickly absorb the nighttime cooling to improve the cooling storage utilization rate, but also reduce the cooling capacity of the refrigeration equipment.

The invention discloses a model selection and control method for a regional cooling large-diameter electric control valve. The method comprises the following steps that a first database and a second database are established; calculating the pressure difference of the water flow before and after the regulating valve of which the model needs to be selected at the maximum flow and the minimum flow; calculating the flow coefficient of the regulating valve; performing data correction on the first maximum flow coefficient to obtain a second maximum flow coefficient; matching the second maximum flow coefficient with the minimum flow coefficient in a first database, outputting a result when a first condition is met, matching the second maximum flow coefficient with the minimum flow coefficient in a second database when the first condition is not met, and outputting a result when a second condition is met. When the second condition is not met, matching is conducted again in the second database, two second valve models are selected from the second database, and when the two second valve models meet the third condition at the same time, a result is output. Compared with the prior art, the model selection difficulty of the regulating valve of the regional cooling system is reduced.

The present invention discloses a district heating and cooling system with automatic heat management in temperature control zones, which relates to the technical field of district heating and cooling systems; in order to achieve overall automatic heat management; specifically, it includes an automatic heat management system and a district heating and cooling system. The automatic heat management system includes a temperature control zone data acquisition device, a data transmission device, and a host computer; the district heating and cooling system includes a temperature control area, a cold and heat source host, and a circulating pipeline mechanism. The system proposed by the present invention is particularly suitable for scenarios where the system needs to be managed and temperature-controlled in different time periods and different areas; the automatic heat management system can automatically meet the temperature control and energy consumption requirements of the temperature control area, while solving the problem that it is difficult for traditional old district heating and cooling systems to achieve sub-load and sub-area adjustment, analyzing environmental data and control data and forming a predetermined temperature control strategy to achieve overall automatic heat management.

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.