33 results about "Green data center" patented technology

A power system for cooling backup computer storage facilities having eight independent levels of redundancy for the power supply to allow the storage facility to survive even extreme and debilitating events and having redundant communications. If power from the existing gas or electric grid is lost, a series of back-up energy sources provide energy to run the micro-turbines and generate the power to run the servers and the HVAC system that cools the servers. In the event that the existing power grid is interrupted, the redundant power supplies are automatically engaged without disruption of the load. If the existing gas and / or electric power grids are disrupted, the storage facility is powered / cooled by a micro-grid having its own independent redundant sources of power.

A power system for cooling backup computer storage facilities having eight independent levels of redundancy for the power supply to allow the storage facility to survive even extreme and debilitating events and having redundant communications. If power from the existing gas or electric grid is lost, a series of back-up energy sources provide energy to run the micro-turbines and generate the power to run the servers and the HVAC system that cools the servers. In the event that the existing power grid is interrupted, the redundant power supplies are automatically engaged without disruption of the load. If the existing gas and / or electric power grids are disrupted, the storage facility is powered / cooled by a micro-grid having its own independent redundant sources of power.

The invention discloses a request scheduling and optimization method for spatial detection in a distributed green cloud data center. The method comprehensively considers changes of factors, such as electric energy price, wind speed, solar radiation strength and field air density generated by a thermal power generation mode, at different geographical locations. Aiming at the requests of a pluralityof applications, the method builds a framework for processing multiple types of application requests under a distributed green cloud data center environment, and accordingly, a non-linear constraintoptimization model of request scheduling of an overall cost of a cloud provider, is built, and a penalty function is designed to convert the non-linear constraint optimization model into an unrestraint optimization model, then a mixed element heuristic optimization algorithm based on simulated annealing and bat algorithms is used for solving the model, and thus request scheduling of spatial detection under the distributed green cloud data center environment is achieved. According to the method provided by the invention, all reached application requests can be scheduled to a plurality of greencloud data centers for executing, so that the overall cost of the cloud provider is minimized and the delay time requirements of all application requests are ensured.

The invention relates to the technical field of air conditioning systems or equipment, and in particular to a data center energy-saving device with a ground source as a cold source and a running mode of the data center energy-saving device. The device is composed of two circulating systems, and the first circulating system is a ground source circulating system composed of a ground source extracting system (1), a circulating pump (6) and a heat exchanger (2); and the second circulating system is a chilled water circulating system composed of a dry cooler (3), a standby application cold machine (4), a machine room precise air conditioning heat dissipating end (5), the circulating pump (6) and a cold storage unit (7). According to the device, the characteristics of cold storage by the ground source, direct utilization of environment temperature, circulating utilization and the like of the environment of the winter in the northern part are fully utilized, and the ground source and natural resources of low-temperature outdoor environment and the like in winter are utilized as cold sources, so that the cold source need of refrigeration of a data center air conditioner is met. The data center energy-saving device with the ground source as the cold source is provided for people, data center energy consumption is greatly reduced, and the aims of setting up a green data center, saving energy and reducing emission are achieved.

A green data center is provided, which comprises: a utility power source for providing utility power; a facility electrically connected to the utility power source; a renewable energy provider electrically connected to the facility for providing renewable energy; an IT equipment electrically connected to the renewable energy provider; wherein the total power received by the IT equipment is not less to the utility power provided by the utility power source, so that the PUE (Power Usage Efficiency) can be less than one, thereby achieving the effect of carbon-reducing and energy-saving.

The invention discloses a green data center standby power system optimization design method, which comprises the steps of: establishing a data center load model, a generalized energy storage system model and a mobile power-generating vehicle model; determining user UPS and mobile power-generating vehicle information of an electric power company; determining magnitude of compulsory protecting load within different time periods after power outage; determining an energy supply strategy of an emergency energy system; and determining capacity and components of the emergency energy system based on the data center load model, the generalized energy storage system model and the mobile power-generating vehicle model, and finally establishing a standby power system capacity optimization model based on a generalized energy storage system and the mobile power-generating vehicle. The data center standby power system capacity optimization design method is based on cooperation of the generalized energy storage system and the mobile power-generating vehicle, can greatly reduce expensive electric energy storage system capacity in a self-provided energy system through configuring a cold energy storage system on the premise of satisfying highly reliable energy supply and green and environment protection requirements of the data center, saves investment and operation cost, and reduces whole life cycle cost.

The invention discloses a method for configuring equipment capacity of a comprehensive energy supply system of a green data center. The method comprises the following specific steps: establishing an energy flow system of the comprehensive energy supply system of the green data center; establishing a mathematical model of energy supply equipment in an energy flow system of the comprehensive energy supply system of the green data center; establishing an objective function which considers the lowest annual total cost and the lowest carbon emission of the comprehensive energy supply system of the green data center at the same time; establishing constraint conditions of optimal configuration of the comprehensive energy supply system of the green data center; according to the energy flow system, the mathematical model, the objective function and the constraint conditions, establishing a configuration optimization model of the equipment capacity of the comprehensive energy supply system of the green data center; and solving the configuration optimization model to obtain a system configuration result, and outputting various economic costs, carbon emissions and PUE values of the green data center comprehensive energy supply system. According to the method, optimal configuration of the equipment capacity of the comprehensive energy supply system of the green data center is realized, green and economical operation of the data center is ensured, and the market application prospect is wide.

A green data center is provided, which comprises: a utility power source for providing utility power; a facility electrically connected to the utility power source; a renewable energy provider electrically connected to the facility for providing renewable energy; an IT equipment electrically connected to the renewable energy provider; wherein the total power received by the IT equipment is not less to the utility power provided by the utility power source, so that the PUE (Power Usage Efficiency) can be less than one, thereby achieving the effect of carbon-reducing and energy-saving.

The invention relates to a variable temperature control method for real-time consumption of photovoltaic power generation in a data center. By reading the real-time photovoltaic output value, the electric power reference value of the cooling equipment is adjusted, and then the cooling equipment of the data center is regulated through droop control and proportional integral control, so that Power consumption instantly matches photovoltaic power generation, realizes local consumption, stores in the data center computer room in the form of cold energy, reduces the temperature of the data center computer room or when the photovoltaic power generation is greatly reduced, appropriately increases the temperature of the data center computer room, and makes reasonable use of storage The function of cooling energy, thereby improving the utilization rate of renewable energy and reducing the consumption of city electricity. The invention comprehensively considers the random fluctuation characteristics of photovoltaic power generation and the flexible load characteristics of the cooling system of the data center, and fully exerts the controllability of the demand side load. Powered green data center with good technical economy.

The invention discloses a green data center standby power system optimization design method, which comprises the steps of: establishing a data center load model, a generalized energy storage system model and a mobile power-generating vehicle model; determining user UPS and mobile power-generating vehicle information of an electric power company; determining magnitude of compulsory protecting load within different time periods after power outage; determining an energy supply strategy of an emergency energy system; and determining capacity and components of the emergency energy system based on the data center load model, the generalized energy storage system model and the mobile power-generating vehicle model, and finally establishing a standby power system capacity optimization model based on a generalized energy storage system and the mobile power-generating vehicle. The data center standby power system capacity optimization design method is based on cooperation of the generalized energy storage system and the mobile power-generating vehicle, can greatly reduce expensive electric energy storage system capacity in a self-provided energy system through configuring a cold energy storage system on the premise of satisfying highly reliable energy supply and green and environment protection requirements of the data center, saves investment and operation cost, and reduces whole life cycle cost.

The invention discloses a green data center energy-saving task scheduling strategy based on robust optimization, which is mainly used to solve the problems of high energy consumption, high electricity cost and high pollution in the data center. The invention deploys solar panels for the data center, and the data center can generate electricity by mixing solar energy and traditional grid. In order to solve the characteristics of randomness, discontinuity, and instability of solar power generation, the present invention designs a novel and flexible uncertainty model, and defines an uncertainty set through the introduction of reference distribution to limit the fluctuation of solar power generation, and considers Due to the difference and time-varying electricity price of geographically distributed computing nodes, a reasonable task scheduling strategy is designed to allocate the requests submitted by users to the data center to computing nodes and time periods with high solar energy output and low electricity prices for processing, in order to minimize consumption To achieve the purpose of saving energy and protecting the environment.

The invention discloses a renewable energy based data center load scheduling method and device. In the method, a server cluster is divided into two parts, namely a renewable energy driven cluster and a utility grid driven cluster, according to power-driven characteristics; a data center load transfer controller monitors utilization rates of all servers in advance, then determines load transfer number between the two clusters by combining a dynamic supply condition of renewable energy and adopts a selective tracking strategy to random fluctuation of the renewable energy in the transfer process, intelligent smoothness is performed on load fluctuation, and accordingly scheduling load of a data center is reduced, downtime of the servers is reduced, and high energy utilization rate is kept without depending on a large-scale battery pack.

Provided is a green data center temperature-aware server management strategy, which is characterized by carrying out data center energy consumption modeling and setting constraint conditions, wherein modeling comprises server system energy consumption modeling and refrigerating system energy consumption modeling, and the constraint conditions comprise a user service quality constraint and a server temperature constraint; and under the constraint conditions, sum of server system energy consumption and refrigerating system energy consumption is allowed to be minimum. The invention also provides a specific temperature and server management solution algorithm. Compared with an existing green data center energy-saving algorithm, the green data center temperature-aware server management strategy has the advantages that a machine room refrigerating system is included in an energy consumption model, and refined description of data center total energy consumption is realized; then, the algorithm ensures user service quality and server CPU temperature; and finally, through main decomposition technology, the data center total energy consumption minimization problem is decomposed into a temperature control regulator part and a user resource distribution agent part, a high-extendibility distributed algorithm is provided, and the data center total energy consumption is reduced effectively.

The invention relates to the technical field of a power supply system of a data center, and especially relates to an alternating current and direct current power supply structure of the data center. The power supply structure comprises an alternating current 10kV power distribution device A, an alternating current 10kV power distribution device B, a power electronic transformer A, a power electronic transformer B, a direct current 750V power distribution device, photovoltaic power generation equipment, a direct current 240V power distribution device, a storage battery pack, an industrial frequency transformer and an alternating current 380V power distribution device. The power supply structure is novel, flexible interconnection of the two power electronic transformers is realized through the DC 750V power distribution device and the DC 240V power distribution device, mutual full backup of the two power electronic transformers is realized, and the reliability of the alternating current and direct current power supply system is improved. Transformation link equipment is reduced, and the efficiency of a power supply system is improved. Connection between the data center and photovoltaic power generation equipment is greatly facilitated, after photovoltaic power generation is accessed, the PUE value of the data center is greatly reduced, and a green data center is realized.