Disclosure of Invention
In order to solve the problems, the invention provides a cloud computing-based modular data center waste heat efficient utilization control management system, which realizes efficient utilization of waste heat of a data center, simultaneously realizes maximization of energy utilization efficiency and equipment operation safety, and can be used for various data centers such as cloud computing centers, super computing centers, public clouds, enterprise/government affair cloud centers and the like and 5G communication macro stations.
In order to achieve the technical purpose and achieve the technical effect, the invention is realized by the following technical scheme:
the utility model provides a modularization data center waste heat high efficiency utilizes control management system based on cloud calculates, includes cloud platform and executive equipment, still includes modeling module, data update module, optimization matching module and management control module that link to each other with the cloud platform respectively:
a modeling module: the system comprises a data center, a waste heat utilization device, a heat recovery system and a heat recovery system, wherein the data center is used for storing the related data of the data center and the connectable waste heat utilization device information;
a data updating module: the system comprises a plurality of data centers, a plurality of residual heat utilization equipment and a plurality of data processing units, wherein the data centers are used for updating relevant data of the data centers in a timing or real-time manner, and the relevant data comprise GPS positioning information, current residual heat information, data center cooling efficiency, residual heat recovery efficiency and residual heat utilization equipment information which can be connected with the data centers, and the residual heat utilization equipment is connected with at least one data center capable of performing residual heat recovery through execution equipment;
an optimization matching module: acquiring data of a data updating module and optimizing and matching the optimal waste heat utilization scheme of each data center according to a composite system model of a waste heat utilization system;
the management control module: and the system is used for controlling each executing device to act according to the optimal waste heat utilization scheme of each data center.
Preferably, the data updating module acquires the relevant data of each data center through the data acquisition unit.
Preferably, the waste heat utilization equipment is a water-cooling heat pipe air conditioner.
Preferably, the information of the waste heat utilization equipment comprises waste heat utilization efficiency, and economic benefits and social benefits of waste heat utilization.
Preferably, the load characteristics of the waste heat supply side and the demand side are identified through experimental and simulation analysis, the operation performance characteristics in the waste heat recovery process are obtained through experimental and simulation analysis of the cooling tower operation parameters, the heat pump operation parameters and the heat pipe air conditioner model, and the modeling module establishes a composite system model of the waste heat utilization system according to the operation performance characteristics in the waste heat recovery process and the load characteristics of the waste heat supply side and the demand side.
Preferably, if the waste heat utilization equipment is connected with N data centers capable of performing waste heat recovery through the execution equipment, the optimization matching module performs numerical simulation of performance optimization of the water-cooling heat pipe air conditioner under the condition of dynamic load, so that the performance of the water-cooling heat pipe air conditioner is matched with the waste heat recovery system, and the maximum economic benefit is the optimal waste heat utilization scheme of each data center.
Preferably, the actuating device is a solenoid valve.
Preferably, the system further comprises a warning module: and when the waste heat recovery efficiency of a certain data center is detected to be lower than a set value, warning prompt is carried out.
The invention has the beneficial effects that:
1. the invention improves the economy and the recovery efficiency of waste heat utilization by innovatively establishing an economic model and a heat recovery efficiency model of a waste heat utilization system of the data center.
2. The invention innovatively adopts the numerical simulation optimization of the water-cooling heat pipe air conditioner under the condition of dynamic load, and perfects the dynamic matching between the equipment load and the air conditioner performance, thereby simultaneously realizing the maximization of the energy utilization efficiency and the equipment operation safety.
3. The optimization matching technology of the water-cooling heat pipe air conditioner and the waste heat recovery system is innovatively adopted, and the optimization matching of the water-cooling heat pipe air conditioner and the heat pump waste heat recovery system is realized, so that the high-efficiency and energy-saving operation of a composite system is achieved, and the reduction of the annual operation energy consumption and cost of a data center is met.
Detailed Description
The present invention will be better understood and implemented by those skilled in the art by the following detailed description of the technical solution of the present invention with reference to the accompanying drawings and specific examples, which are not intended to limit the present invention.
As shown in fig. 1, a schematic diagram of a design principle of a modular data center waste heat efficient utilization control management system based on cloud computing includes, from top to bottom, a demand level, a theoretical level, a technical level, a system level, and an application level:
on the aspect of requirements, the modular data center energy conservation and emission reduction requirements, the modular data center economic benefit requirements and the modular data center waste heat recovery technology research and development requirements are mainly met.
On a theoretical level, the construction of a modular data center waste heat recovery system mainly comprises feasibility comparative analysis, economic comparative analysis, cooling performance comparative analysis and social benefit comparative analysis.
On the technical level, the method mainly comprises the operation optimization of the heat pipe air conditioner and the matching optimization of a waste heat recovery system.
Based on the above analysis, as shown in fig. 2, a modular data center waste heat efficient utilization control management system based on cloud computing includes a cloud platform and an execution device, the execution device is arranged in the waste heat utilization device and the heat pump waste heat recovery system, the cloud platform is also a cloud computing platform, and provides computing, network and storage capabilities, generally, the execution device can be an electromagnetic valve, and the waste heat utilization device can be a water-cooled heat pipe air conditioner.
The waste heat efficient utilization control management system further comprises a modeling module, a data updating module, an optimization matching module and a management control module which are respectively connected with the cloud platform, and the specific functions of the modules are as follows:
a modeling module: and the system is used for establishing an economic model and a heat recovery efficiency model of the waste heat utilization system of each data center according to the related data of each data center and the connectable waste heat utilization equipment information. The waste heat utilization equipment information comprises waste heat utilization efficiency, economic benefits and social benefits of waste heat utilization and the like, and a composite system model of a waste heat utilization system is established through experiments and simulation analysis.
A heat dissipation system of the data center with waste heat recovery is a complex system influenced by multiple factors, and the waste heat recovery system needs to consider the cooling efficiency and the waste heat recovery efficiency of the data center, economic benefits and social benefits at the same time.
Preferably, as shown in fig. 3, the load characteristics of the waste heat supply side and the demand side are analyzed and identified through experiments and simulations, the heat exchange characteristics of the heat pipe air conditioner are analyzed through experiments, and a distribution parameter model of the heat pipe air conditioner in the waste heat recovery process is established.
The invention provides an economic model and a heat recovery efficiency model of a data center waste heat utilization system aiming at a plurality of economic factors and heat efficiency factors by analyzing the characteristics of a data center heat pipe air conditioner and the waste heat utilization system. And forming a composite system model through multi-factor simulation analysis, and finally determining the optimal waste heat utilization scheme of the data center.
A data updating module: the system is used for updating relevant data of each data center regularly or in real time, and comprises GPS positioning information, current waste heat information, data center cooling efficiency, waste heat recovery efficiency and waste heat utilization equipment information which can be connected with each data center, wherein the waste heat utilization equipment is connected with at least one data center capable of performing waste heat recovery through execution equipment.
The data updating module acquires relevant data of each data center through the data acquisition unit, the data acquisition unit can set an acquisition interval T, the data acquisition unit comprises various sensors, relevant numerical values, experimental values or empirical values and the like can also be manually input, and for example, the information of the waste heat utilization equipment can be manually input.
An optimization matching module: and acquiring data of the data updating module and optimizing and matching the optimal waste heat utilization scheme of each data center according to the composite system model of the waste heat utilization system.
The load change of the data center is a complex change process influenced by multiple factors, if the performance of the heat pipe air conditioner is not well matched with the load of the IT equipment, unnecessary energy waste can be caused when the load is low, the operation safety can be influenced when the load is high, and the equipment downtime risk is increased. The invention carries out the numerical simulation of the performance optimization of the heat pipe air conditioner under the condition of dynamic load, can explore the dynamic distribution rule of the load on time and space, optimizes the operation performance of the modularized heat pipe air conditioner, and perfects the dynamic matching between the equipment load and the air conditioner performance, thereby simultaneously realizing the maximization of the energy utilization efficiency and the equipment operation safety.
The numerical simulation technology of the heat pipe air conditioner under the condition of dynamic load mainly comprises the following steps: the distribution rule of the dynamic load of the data center server on time and space is evaluated and analyzed, a data center IT equipment dynamic load model is established, on the basis, the numerical simulation of the optimization of the performance of the heat pipe air conditioner is carried out, the analysis data of the characteristics of the heat pipe air conditioner is obtained, the safety index and the evaluation method are provided, and the dynamic matching between the equipment load and the performance of the air conditioner is perfected.
If the waste heat utilization equipment is connected with N data centers capable of performing waste heat recovery through the execution equipment, the optimization matching module performs numerical simulation (including running performance research and multi-mode control optimization) of heat pipe air conditioner performance optimization under the condition of dynamic load, so that the heat pipe air conditioner performance (namely, a heat pipe system) and the waste heat recovery system (namely, a heat pump system) are optimized and matched, and the maximum economic benefit is the optimal waste heat utilization scheme of each data center.
The operation process of the water-cooling heat pipe air conditioning system and the waste heat recovery system is a complex heat exchange process with multiple scales, multiple flow states and multiple influence factors, and the optimization and matching of the composite system are key points and difficult points for controlling and managing the performance improvement of the system. The heat exchange characteristics of the heat pipe air conditioner are analyzed through experiments, and a distribution parameter model of the heat pipe air conditioner in the waste heat recovery process is established according to the heat exchange characteristics; through experiment and simulation analysis and identification of load characteristics of a supply side and a demand side, a water-cooling heat pipe air-conditioning and heat pump combined system is designed, a corresponding heat exchange and energy consumption model is established, and optimal matching of the water-cooling heat pipe air-conditioning and heat pump waste heat recovery system is achieved, so that efficient and energy-saving operation of the combined system is achieved, and reduction of annual operation energy consumption and cost of a data center is met.
The management control module: the method is used for controlling the actions of each executing device according to the optimal waste heat utilization scheme of each data center, and further realizing the efficient recycling of waste heat.
Preferably, the system further comprises a warning module: when the waste heat recovery efficiency of a certain data center is detected to be lower than a set value, warning prompt is carried out, and waste heat utilization is conveniently carried out in a targeted mode.
By adopting the data center waste heat efficient utilization control management system established by the invention, the waste heat recovery rate is more than 50%, the energy efficiency ratio of the waste heat recovery system is more than or equal to 5.0W/W, the energy efficiency (PUE) of the data center is less than 1.2, the cabinet cooling index (RCI) is approximately equal to 1, the heat dissipation performance reaches more than 10kW of a single cabinet, the efficient utilization of the waste heat of the data center is realized, the maximization of the energy utilization efficiency and the equipment operation safety is realized simultaneously, and the system can be used for various data centers such as a cloud computing center, an ultra-computing center, a public cloud, an enterprise/government affair cloud center and the like and a 5G.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.