Evaluation method and system for data center waste heat comprehensive utilization system

Abstract

The invention belongs to the related technical field of waste heat comprehensive utilization system evaluation, and provides an evaluation method and system for a data center waste heat comprehensive utilization system. The data center waste heat utilization system is subjected to quantitative characterization from the aspects of energy efficiency level and economic feasibility, the energy-saving substitution effect of the waste heat recovery system can be reflected, the influence of energy price and carbon cost changes on system operation can be reflected, the evaluation dimension is complete, and the practicability is high.

Description

Technical Field

[0001] This invention belongs to the technical field of waste heat comprehensive utilization system evaluation, and particularly relates to an evaluation method and system for data center waste heat comprehensive utilization system. Background Technology

[0002] The statements in this section are merely background information related to the present invention and do not necessarily constitute prior art.

[0003] As the core of computing infrastructure, data centers continue to expand in scale, making their energy consumption and carbon emissions increasingly prominent issues. During the operation of data centers, IT equipment generates a large amount of waste heat. According to statistics, about 60%-80% of the electricity consumed by data centers is ultimately lost as heat. If this waste heat can be effectively recovered and used for heating surrounding buildings, it can turn waste into treasure, significantly improve energy efficiency, reduce carbon emissions, and is an important path to achieving the "dual carbon" goal.

[0004] Currently, the data center industry commonly uses Power Usage Effectiveness (PUE) and Carbon Usage Effectiveness (CUE) metrics for performance evaluation. PUE is defined as the ratio of total data center energy consumption to IT equipment energy consumption, primarily reflecting the energy efficiency of the data center's auxiliary systems such as cooling and power supply. CUE, on the other hand, focuses on the ratio of total data center carbon emissions to IT equipment energy consumption, emphasizing the data center's own carbon emission intensity. However, existing metrics only evaluate the data center as a single entity, failing to incorporate the building heating system associated with waste heat recovery into the evaluation system, thus failing to comprehensively and objectively reflect the overall performance of the data center's waste heat recovery system.

[0005] Therefore, there is an urgent need for a comprehensive evaluation method that takes into account both energy efficiency and economic cost from the overall perspective of data centers and waste heat recovery heating systems, so as to ensure that the evaluation results fully and objectively reflect the comprehensive value of waste heat recovery in data centers and promote the further improvement and development of the data center evaluation system. Summary of the Invention

[0006] To overcome the shortcomings of the existing technologies, this invention provides an evaluation method and system for a comprehensive waste heat utilization system for data centers. By constructing a dual-dimensional evaluation index covering energy efficiency and economic cost, the energy efficiency of the data center waste heat recovery system and the building heating system is quantified under a unified evaluation boundary, thereby achieving a comprehensive evaluation of the overall performance of the data center and the waste heat recovery heating system. This provides support for the design optimization, project decision-making, and promotion and application of the waste heat recovery system.

[0007] To achieve the above objectives, the present invention adopts the following technical solution: In a first aspect, the present invention provides an evaluation method for a data center waste heat comprehensive utilization system, comprising: Calculate the equivalent energy consumption required for an independent building heating system to provide useful heat based on the instantaneous power consumption of the data center load; The instantaneous total power consumption of the data center waste heat supply system is calculated based on the instantaneous power consumption of the data center load, the instantaneous power consumption of the heat pump of the data center waste heat supply system, the instantaneous power consumption of the water pump of the data center waste heat supply system, and the instantaneous power consumption of other auxiliary equipment of the data center waste heat supply system. The basic power consumption of a data center without waste heat recovery system is calculated based on the instantaneous power consumption of the data center load, the instantaneous power consumption of the cooling system when the data center has no waste heat heating system, and the instantaneous power consumption of other auxiliary equipment when the data center has no waste heat heating system. The comprehensive energy utilization efficiency index and the comprehensive economic operating cost index within the evaluation period are calculated based on the instantaneous comprehensive power consumption of the data center waste heat heating system, the basic power consumption of the data center without waste heat recovery system, and the equivalent energy consumption required by the independent building heating system to provide useful heat.

[0008] Secondly, the present invention provides an evaluation system for a data center waste heat comprehensive utilization system, comprising: The first calculation module is configured to: calculate the equivalent energy consumption required by the independent building heating system to provide useful heat based on the instantaneous power consumption of the data center load; The instantaneous total power consumption of the data center waste heat supply system is calculated based on the instantaneous power consumption of the data center load, the instantaneous power consumption of the heat pump of the data center waste heat supply system, the instantaneous power consumption of the water pump of the data center waste heat supply system, and the instantaneous power consumption of other auxiliary equipment of the data center waste heat supply system. The second calculation module is configured to calculate the basic power consumption of the data center without a waste heat recovery system based on the instantaneous power consumption of the data center load, the instantaneous power consumption of the cooling system when the data center has no waste heat supply system, and the instantaneous power consumption of other auxiliary equipment when the data center has no waste heat supply system. The evaluation index module is configured to calculate the comprehensive energy utilization efficiency index and the comprehensive economic operating cost index within the evaluation period based on the instantaneous comprehensive power consumption of the data center waste heat heating system, the basic power consumption of the data center without waste heat recovery system, and the equivalent energy consumption required by the independent building heating system to provide useful heat.

[0009] Thirdly, the present invention provides an electronic device including a memory and a processor, and computer instructions stored in the memory and running on the processor, wherein the computer instructions, when executed by the processor, perform the method described in the first aspect.

[0010] Fourthly, the present invention provides a computer-readable storage medium for storing computer instructions, which, when executed by a processor, perform the method described in the first aspect.

[0011] Fifthly, the present invention provides a computer program product, including a computer program that, when executed by a processor, implements the method described in the first aspect.

[0012] The above one or more technical solutions have the following beneficial effects: In this invention, a dual-dimensional index of comprehensive energy utilization efficiency and comprehensive economic operating cost is constructed to quantitatively characterize the waste heat utilization system of the data center from the perspectives of energy efficiency level and economic feasibility. It can reflect the energy-saving substitution effect of the waste heat recovery system and the impact of changes in energy prices and carbon costs on system operation. The evaluation dimensions are complete and the practicality is strong.

[0013] In this invention, the parameter acquisition method and calculation model adopted do not depend on specific equipment type or system scale. Key parameters can be acquired and corrected according to actual engineering conditions, and can be applied to different data center load characteristics, waste heat recovery schemes and building heating methods, providing reliable technical support for the design optimization, operation management and engineering application of data center waste heat utilization systems.

[0014] In this invention, the energy-saving level and economic level of the data center waste heat recovery system are classified according to the comprehensive energy utilization efficiency index and the comprehensive economic operating cost index, which can quickly and objectively reflect the engineering maturity and energy-saving level of the waste heat recovery system, as well as the actual operating effect under different economic feasibility levels.

[0015] Advantages of additional aspects of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0016] The accompanying drawings, which form part of this invention, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an improper limitation of the invention.

[0017] Figure 1 This is a flowchart of the evaluation method for a data center waste heat comprehensive utilization system in Embodiment 1 of the present invention. Detailed Implementation

[0018] It should be noted that the following detailed descriptions are exemplary and intended to provide further illustration of the invention. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0019] It should be noted that the terminology used herein is for the purpose of describing particular implementations only and is not intended to limit the exemplary implementations of the present invention.

[0020] Where there is no conflict, the embodiments and features in the embodiments of the present invention can be combined with each other.

[0021] Example 1 This embodiment discloses an evaluation method for a data center waste heat comprehensive utilization system, including: Calculate the equivalent energy consumption required for an independent building heating system to provide useful heat based on the instantaneous power consumption of the data center load; The instantaneous total power consumption of the data center waste heat supply system is calculated based on the instantaneous power consumption of the data center load, the instantaneous power consumption of the heat pump of the data center waste heat supply system, the instantaneous power consumption of the water pump of the data center waste heat supply system, and the instantaneous power consumption of other auxiliary equipment of the data center waste heat supply system. The basic power consumption of a data center without waste heat recovery system is calculated based on the instantaneous power consumption of the data center load, the instantaneous power consumption of the cooling system when the data center has no waste heat heating system, and the instantaneous power consumption of other auxiliary equipment when the data center has no waste heat heating system. The comprehensive energy utilization efficiency index and the comprehensive economic operating cost index within the evaluation period are calculated based on the instantaneous comprehensive power consumption of the data center waste heat heating system, the basic power consumption of the data center without waste heat recovery system, and the equivalent energy consumption required by the independent building heating system to provide useful heat.

[0022] This embodiment constructs two core evaluation indicators to achieve a comprehensive evaluation from the perspectives of energy and economy, respectively. The indicators are based on the "traditional model (data center without waste heat recovery system + independent building heating system)" and quantify the comprehensive advantages of the data center waste heat recovery system through ratio.

[0023] The technical solution adopted in this embodiment is as follows: By determining the evaluation period, and collecting the load power of data center IT equipment, the operating power consumption parameters of heat pumps, water pumps and auxiliary equipment in the waste heat heating system in real time during the evaluation period, and collecting the basic power consumption parameters of data center cooling system and auxiliary equipment under the condition of no waste heat recovery; Based on the collected IT equipment load power, combined with the data center load characteristic model, the usable waste heat generated by the data center at each moment is calculated, and the useful waste heat delivered to the heating end is determined based on heat exchange efficiency and distribution and terminal losses; Based on the useful waste heat, the equivalent energy consumption required to provide the same amount of heat under the traditional heating mode is calculated, thereby establishing a comparison relationship between the equivalent energy consumption of the waste heat recovery system and the traditional independent heating system.

[0024] It should be noted that data center waste heat recovery systems and traditional building heating systems differ fundamentally in energy input methods, energy conversion paths, and system boundaries. Without a unified evaluation boundary and equivalent energy consumption conversion, it is impossible to conduct an objective and comparable quantitative analysis of their comprehensive energy consumption and operating costs within the same evaluation period. Therefore, this embodiment introduces an equivalent energy consumption model to convert the useful heat provided by the data center waste heat recovery system to the heating end into the equivalent energy consumption required by a traditional building heating system to provide the same amount of heat. This achieves comparability of different heating modes under a unified energy consumption benchmark. This equivalent energy consumption conversion step is a necessary technical means for determining the comprehensive operational energy efficiency of the data center waste heat utilization system in this embodiment.

[0025] Based on this, the comprehensive energy consumption of the data center waste heat heating system with the waste heat recovery system during the evaluation period is calculated, as well as the sum of the basic energy consumption and equivalent building heating energy consumption of the data center without waste heat recovery. This leads to the construction of a comprehensive energy efficiency index (CPUE) to characterize the energy-saving substitution effect of the waste heat recovery system on overall energy consumption. Simultaneously, energy prices and carbon emission factors per unit energy consumption are introduced, and combined with carbon trading prices, the comprehensive operating costs of the waste heat recovery system and the traditional model are calculated, constructing an economic comprehensive operating cost index (CEOC) to evaluate the economic feasibility of the waste heat recovery system. Furthermore, based on the value ranges of the CPUE and CEOC, the corresponding energy-saving and economic level parameters of the data center waste heat recovery system during the evaluation period are output, achieving a quantitative evaluation of the comprehensive energy efficiency of the data center waste heat recovery system. This comprehensively evaluates the overall effect of the data center waste heat recovery system in terms of energy efficiency and operating costs, providing a basis for the design optimization, operation management, and engineering promotion of data center waste heat recovery systems.

[0026] The following is combined with Figure 1 This embodiment provides a detailed description of an evaluation method for a data center waste heat comprehensive utilization system. Step 1: During the evaluation period, collect the following parameters in real time through the data center energy consumption monitoring system: Instantaneous power consumption P of data center IT load it (t), Instantaneous power consumption P of the heat pump in the waste heat heating system of the data center heat (t), Instantaneous power consumption P of the water pump in the waste heat heating system of the data center pump (t), instantaneous power consumption P of other auxiliary equipment in the data center waste heat heating system aux1 (t), Instantaneous power consumption P of the cooling system when the data center has no waste heat heating system. cool (t), instantaneous power consumption P of other auxiliary equipment when the data center has no waste heat heating system. aux2 (t).

[0027] Optionally, the evaluation period T is selected as 8760h, which is used for the annual comprehensive evaluation of the data center waste heat utilization system.

[0028] Step 2: Based on the instantaneous power consumption P of the data center IT load it (t), calculate the actual residual heat Q in the data center at a certain moment. dc (t)=ƒ( P it (t))× k + α ;in ， t represents a specific moment; ƒ represents a time interval starting from P. it The function expression with the independent variable; k α is a correction factor; α is a coefficient obtained based on the data center load characteristics and determined experimentally.

[0029] The function expression ƒ is a function expression for the conversion of electricity consumed by the data center into heat. The basic formula is the electricity consumed by the data center multiplied by a coefficient. For example, according to literature research, 97% of the electricity consumed by data center equipment is converted into heat, which is 0.97 × P. it (t).

[0030] Step 3: Taking into account heat exchange efficiency and distribution losses, calculate the actual waste heat Q in the data center at a certain moment. dc (t), calculate the useful heat Q sent from the data center to the heating end at a certain moment. re (t)= or 1× i ×Q dc (t); where ,or 1 represents the heat exchange efficiency of the waste heat utilization heat exchanger; i This is a comprehensive coefficient for transmission and distribution losses at the point of sale, dimensionless, determined experimentally, for example... or 1 = 0.9 θ= 0.95.

[0031] Step 4: Based on the useful residual heat Q re (t), calculate the equivalent energy consumption P required by a traditional independent heating system to provide the same amount of heat. energy (t)= ;in ， β is the electro-thermal conversion coefficient, obtained experimentally; for example, in an electric boiler heating system, β=0.98; in a traditional gas boiler (primary energy equivalent), β=0.31; and in a traditional coal boiler (primary energy equivalent), β=0.26.

[0032] Step 5: Based on the instantaneous power consumption P of the data center IT load it (t), Instantaneous power consumption P of the heat pump in the waste heat heating system of the data center heat(t), Instantaneous power consumption P of the water pump in the waste heat heating system of the data center pump (t), instantaneous power consumption P of other auxiliary equipment in the data center waste heat heating system aux1 (t), calculate the instantaneous comprehensive power consumption of the waste heat supply system of the data center at a certain moment: P hr (t)=P it (t)+P heat (t)+P pump (t)+P aux1 (t).

[0033] Step 6: Based on the instantaneous power consumption P of the data center IT load it (t), Instantaneous power consumption P of the cooling system when the data center has no waste heat heating system. cool (t), instantaneous power consumption P of other auxiliary equipment when the data center has no waste heat heating system. aux2 (t), calculate the basic power consumption of the data center without waste heat recovery system at a certain moment: P dc (t)=P it (t)+P cool (t)+P aux2 (t).

[0034] Step 7: Based on the instantaneous comprehensive power consumption P of the data center waste heat heating system hr (t), the basic power consumption P of the data center without waste heat recovery system dc (t), independent building heating systems provide Q re (t) Required equivalent energy consumption P energy (t), within the evaluation period T, the instantaneous power is accumulated to obtain the comprehensive power consumption of the data center waste heat heating system within the evaluation period: E hr = =1486345kWh, basic power consumption of the data center without a waste heat recovery system during the evaluation period: E dc = =1352148kWh, the independent building heating system provided Q during the evaluation period. re (t) Required equivalent energy consumption: E energy = =783569kWh.

[0035] Step 8: Based on the comprehensive power consumption E of the data center waste heat heating system during the evaluation period. hr The basic power consumption E of the data center without a waste heat recovery system during the evaluation period. dc During the evaluation period, the independent building heating system provided Q re (t) Required equivalent energy consumption E energyCalculate the comprehensive energy utilization efficiency index CPUE (the ratio of the comprehensive power consumption of the waste heat recovery system to the equivalent total power consumption of the traditional mode) and the comprehensive economic operating cost index CEOC (the ratio of the comprehensive operating cost of the waste heat recovery system to the comprehensive operating cost of the traditional mode) for the evaluation period.

[0036] The calculation model for Comprehensive Energy Efficiency (CPUE) is as follows: CPUE=

[0037] CPUE is a core indicator for measuring energy consumption efficiency within an evaluation period in the integrated scenario of "data center waste heat recovery system + building heating," reflecting the energy-saving substitution effect of the waste heat recovery system over the traditional mode. When CPUE < 1, it indicates that the overall energy consumption using the waste heat recovery system is lower than that of the traditional mode. The smaller the CPUE, the higher the overall energy utilization efficiency and the more significant the energy-saving effect. The calculated CPUE = 0.696.

[0038] The calculation model for the Economic Comprehensive Operating Cost (CEOC) is as follows: CEOC=

[0039] in, To evaluate the average electricity price in the area where the data center and heating building are located during the evaluation period, this example uses a value of 0.6427 yuan / kWh; The carbon emission factor per unit of electricity consumption is 5.703 × 10⁻⁶. -4 tons / kWh; The value is 63.89 yuan / ton, representing the local or national carbon trading price published during the evaluation period.

[0040] CEOC is a core indicator for measuring the economic cost (including energy and carbon costs) within the evaluation period of a combined scenario of "data center waste heat recovery system + building heating". It reflects the economic feasibility of the waste heat recovery system relative to the traditional model. If CEOC < 1, it indicates that the overall economic cost of using the waste heat recovery system is lower than that of the traditional model. The smaller the CEOC, the higher the economic feasibility. The calculated CEOC = 0.696.

[0041] Based on the comprehensive energy efficiency index CPUE and the economic comprehensive operating cost index CEOC, the energy-saving level and economic level of the data center waste heat utilization system are respectively classified.

[0042] For example, the energy efficiency levels of data center waste heat recovery systems are classified as follows: When CPUE < 0.7, the energy-saving level is Level I, with extremely high overall energy efficiency and significant energy-saving effect; when 0.7 ≤ CPUE < 0.85, the energy-saving level is Level II, with good overall energy efficiency and obvious energy-saving effect; when 0.85 ≤ CPUE < 0.95, the energy-saving level is Level III, possessing actual energy-saving value; when 0.95 ≤ CPUE < 1, the energy-saving level is Level IV, with low overall energy efficiency and inefficient but not completely ineffective energy-saving effect; when CPUE ≥ 1, the energy-saving level is Level V, with overall energy efficiency failing to meet the standard and no energy-saving effect. The criteria for classifying CPUE level thresholds are as follows: Research on operational data from domestic and international data center waste heat recovery demonstration projects shows that the achievable comprehensive energy saving rate is typically concentrated in the range of 15%–30%, with some high-efficiency systems exceeding 30%. In my country's current standards for building energy conservation, industrial energy conservation, and energy performance contracting, an energy saving rate of 15% or higher is generally considered significant energy saving, and 5%–15% is considered effective energy saving. Therefore, using CPUE = 0.7, 0.85, and 0.95 as key classification nodes can objectively reflect the engineering maturity and energy saving level of the waste heat recovery system. In the preferred embodiment of this example, the energy saving level is ultimately classified as Level I.

[0043] For example, the economic classification of data center waste heat recovery systems is as follows: When CEOC < 0.8, the economic level is Level I, with significantly lower overall operating costs than the traditional model, making it highly economically feasible; when 0.8 ≤ CEOC < 0.9, the economic level is Level II, with overall operating costs lower than the traditional model, making it reasonably economically feasible; when 0.9 ≤ CEOC < 0.97, the economic level is Level III, with overall operating costs lower than the traditional model and positive economic benefits; when 0.97 ≤ CEOC < 1, the economic level is Level IV, with overall operating costs close to the traditional model, a slight economic advantage, and dependence on policy or carbon prices; when CEOC ≥ 1, the economic level is Level V, with overall operating costs higher than the traditional model, making it not economically feasible. (The CEOC level thresholds are based on the following criteria: In domestic and international research on operating cost analysis, a reduction in overall operating costs of more than 20% is generally considered to significantly improve system economics; a reduction of 10%–20% indicates good commercial feasibility; a reduction of 3%–10% offers limited but positive economic benefits; and operating cost differences below 3% are easily affected by fluctuations in electricity and carbon prices, resulting in unstable economic advantages. Therefore, selecting CEOC = 0.80, 0.90, and 0.97 as key grading nodes can objectively reflect the actual operating effects of the waste heat recovery system at different levels of economic feasibility. In the preferred embodiment of this example, the economic level is ultimately classified as Level I.)

[0044] Based on the Comprehensive Energy Efficiency Index (CPUE) and the Economic Comprehensive Operating Cost Index (CEOC), the operational energy efficiency status of the data center waste heat recovery system during the evaluation period is determined. This information is used for formulating operational strategies, system design selection, or operational optimization decisions for the waste heat recovery system. CPUE and CEOC evaluate the data center waste heat recovery system from the dimensions of energy efficiency and economic cost, respectively, and they differ in their technical objectives, input parameters, and evaluation focus. Under specific evaluation conditions, when energy prices, carbon emission factors per unit of energy consumption, and carbon trading prices remain constant during the evaluation period, the price parameters introduced into the calculation model of CEOC may cancel each other out in the numerator and denominator, resulting in a value for CEOC that is the same as or close to that of CPUE. However, when energy prices, carbon emission factors, or carbon trading prices change, CEOC can reflect differences in operating costs and the impact of carbon costs that CPUE cannot capture, thus providing supplementary evaluation basis for the economic feasibility analysis and investment decisions of the data center waste heat recovery system. Therefore, in this embodiment, the comprehensive energy utilization efficiency index CPUE and the comprehensive economic operating cost index CEOC constitute an independent and complementary evaluation index system.

[0045] This embodiment breaks through the limitations of existing technologies that only evaluate a single entity or independent heating system of a data center. It analyzes the data center, waste heat recovery heating system, and building heating system as a whole. By establishing a unified energy consumption benchmark through equivalent energy consumption conversion, it achieves objective comparability of different heating modes within the same evaluation period. It can objectively reflect the impact of waste heat recovery technology on overall energy consumption and operating costs at the system level, and the evaluation scope is comprehensive.

[0046] This embodiment constructs a two-dimensional index, Comprehensive Energy Utilization Efficiency (CPUE) and Economic Comprehensive Operating Cost (CEOC), under a unified evaluation boundary. These two indicators quantify the waste heat utilization system of the data center from the perspectives of energy efficiency and economic feasibility. They can reflect the energy-saving substitution effect of the waste heat recovery system and the impact of changes in energy prices and carbon costs on system operation. The evaluation dimensions are complete and the system is highly practical.

[0047] The parameter acquisition method and calculation model used in this embodiment do not depend on specific equipment type or system scale. Key parameters can be acquired and corrected according to actual engineering conditions. It can be applied to different data center load characteristics, waste heat recovery schemes and building heating methods, providing reliable technical support for the design optimization, operation management and engineering application of data center waste heat utilization systems.

[0048] Example 2 The purpose of this embodiment is to provide an evaluation system for a comprehensive waste heat utilization system in a data center, including: The first calculation module is configured to: calculate the equivalent energy consumption required by the independent building heating system to provide useful heat based on the instantaneous power consumption of the data center load; The instantaneous total power consumption of the data center waste heat supply system is calculated based on the instantaneous power consumption of the data center load, the instantaneous power consumption of the heat pump of the data center waste heat supply system, the instantaneous power consumption of the water pump of the data center waste heat supply system, and the instantaneous power consumption of other auxiliary equipment of the data center waste heat supply system. The second calculation module is configured to calculate the basic power consumption of the data center without a waste heat recovery system based on the instantaneous power consumption of the data center load, the instantaneous power consumption of the cooling system when the data center has no waste heat supply system, and the instantaneous power consumption of other auxiliary equipment when the data center has no waste heat supply system. The evaluation index module is configured to calculate the comprehensive energy utilization efficiency index and the comprehensive economic operating cost index within the evaluation period based on the instantaneous comprehensive power consumption of the data center waste heat heating system, the basic power consumption of the data center without waste heat recovery system, and the equivalent energy consumption required by the independent building heating system to provide useful heat.

[0049] In further embodiments, the following is also provided: An electronic device includes a memory and a processor, as well as computer instructions stored in the memory and running on the processor. When executed by the processor, the computer instructions perform the method described in Embodiment 1. For brevity, further details are omitted here.

[0050] It should be understood that in this embodiment, the processor can be a central processing unit (CPU), or it can be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor, etc.

[0051] Memory may include read-only memory and random access memory, and provides instructions and data to the processor. A portion of memory may also include non-volatile random access memory. For example, memory may also store information about the device type.

[0052] A computer-readable storage medium for storing computer instructions, which, when executed by a processor, perform the method described in Embodiment 1.

[0053] The method in Embodiment 1 can be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules within the processor. The software modules can reside in readily available storage media in the art, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, or registers. This storage medium is located in memory; the processor reads information from the memory and, in conjunction with its hardware, completes the steps of the above method. To avoid repetition, a detailed description is not provided here.

[0054] A computer program product includes a computer program that, when executed by a processor, implements the method described in Embodiment 1.

[0055] The present invention also provides at least one computer program product tangibly stored on a non-transitory computer-readable storage medium. The computer program product includes computer-executable instructions, such as instructions included in program modules, which execute in a device on a target real or virtual processor to perform the processes / methods described above. Typically, program modules include routines, programs, libraries, objects, classes, components, data structures, etc., that perform specific tasks or implement specific abstract data types. In various embodiments, the functionality of program modules can be combined or divided among program modules as needed. The machine-executable instructions for the program modules can execute within a local or distributed device. In a distributed device, the program modules can reside in both local and remote storage media.

[0056] The computer program code used to implement the methods of the present invention may be written in one or more programming languages. This computer program code may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the computer or other programmable data processing device, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code may be executed entirely on a computer, partially on a computer, as a stand-alone software package, partially on a computer and partially on a remote computer, or entirely on a remote computer or server.

[0057] In the context of this invention, computer program code or related data may be carried by any suitable carrier to enable a device, apparatus, or processor to perform the various processes and operations described above. Examples of carriers include signals, computer-readable media, and the like. Examples of signals may include electrical, optical, radio, sound, or other forms of propagation signals, such as carrier waves, infrared signals, etc.

[0058] Those skilled in the art will recognize that the units and algorithm steps described in conjunction with the embodiments herein can be implemented in electronic hardware or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0059] While the specific embodiments of the present invention have been described above in conjunction with the accompanying drawings, this is not intended to limit the scope of protection of the present invention. Those skilled in the art should understand that various modifications or variations that can be made by those skilled in the art without creative effort based on the technical solutions of the present invention are still within the scope of protection of the present invention.

Claims

1. An evaluation method for a data center waste heat comprehensive utilization system, characterized in that, include: Calculate the equivalent energy consumption required for an independent building heating system to provide useful heat based on the instantaneous power consumption of the data center load; The instantaneous total power consumption of the data center waste heat supply system is calculated based on the instantaneous power consumption of the data center load, the instantaneous power consumption of the heat pump of the data center waste heat supply system, the instantaneous power consumption of the water pump of the data center waste heat supply system, and the instantaneous power consumption of other auxiliary equipment of the data center waste heat supply system. The basic power consumption of a data center without waste heat recovery system is calculated based on the instantaneous power consumption of the data center load, the instantaneous power consumption of the cooling system when the data center has no waste heat heating system, and the instantaneous power consumption of other auxiliary equipment when the data center has no waste heat heating system. The comprehensive energy utilization efficiency index and the comprehensive economic operating cost index within the evaluation period are calculated based on the instantaneous comprehensive power consumption of the data center waste heat heating system, the basic power consumption of the data center without waste heat recovery system, and the equivalent energy consumption required by the independent building heating system to provide useful heat.

2. The evaluation method for a data center waste heat comprehensive utilization system as described in claim 1, characterized in that, The equivalent energy consumption required for an independent building heating system to provide useful heat is calculated based on the instantaneous power consumption of the data center load. Calculate the actual residual heat in the data center based on the instantaneous power consumption of the data center load; The useful heat sent from the data center to the heating end is calculated based on the actual waste heat in the data center. The equivalent energy consumption required for an independent building heating system to provide useful heat is calculated based on the useful heat sent from the data center to the heating end.

3. The evaluation method for a data center waste heat comprehensive utilization system as described in claim 1, characterized in that, The comprehensive energy utilization efficiency index for the evaluation period is determined by the ratio of the total power consumption of the data center waste heat heating system during the evaluation period to the basic power consumption of the data center without waste heat recovery system during the evaluation period and the equivalent energy consumption required by the independent building heating system to provide useful heat during the evaluation period.

4. The evaluation method for a data center waste heat comprehensive utilization system as described in claim 1, characterized in that, The comprehensive economic operating cost index for the evaluation period is determined by the weighted sum of the electricity price and carbon trading price of the comprehensive power consumption of the data center waste heat heating system during the evaluation period, and the weighted sum of the electricity price and carbon trading price of the basic power consumption of the data center without waste heat recovery system and the equivalent energy consumption of the independent building heating system required to provide useful heat during the evaluation period.

5. The evaluation method for a data center waste heat comprehensive utilization system as described in claim 1, characterized in that, The comprehensive energy utilization efficiency index is mapped to the energy-saving level parameter, and the comprehensive economic operating cost index is mapped to the economic level parameter. The level parameter is used to characterize the energy efficiency status range of the data center waste heat utilization system under different operating conditions.

6. The evaluation method for a data center waste heat comprehensive utilization system as described in any one of claims 1-5, characterized in that, Based on the comprehensive energy utilization efficiency index and the comprehensive economic operating cost index, the operating energy efficiency status of the data center waste heat utilization system during the evaluation period is determined.

7. An evaluation system for a data center waste heat comprehensive utilization system, characterized in that, include: The first calculation module is configured to: calculate the equivalent energy consumption required by the independent building heating system to provide useful heat based on the instantaneous power consumption of the data center load; The instantaneous total power consumption of the data center waste heat supply system is calculated based on the instantaneous power consumption of the data center load, the instantaneous power consumption of the heat pump of the data center waste heat supply system, the instantaneous power consumption of the water pump of the data center waste heat supply system, and the instantaneous power consumption of other auxiliary equipment of the data center waste heat supply system. The second calculation module is configured to calculate the basic power consumption of the data center without a waste heat recovery system based on the instantaneous power consumption of the data center load, the instantaneous power consumption of the cooling system when the data center has no waste heat supply system, and the instantaneous power consumption of other auxiliary equipment when the data center has no waste heat supply system. The evaluation index module is configured to calculate the comprehensive energy utilization efficiency index and the comprehensive economic operating cost index within the evaluation period based on the instantaneous comprehensive power consumption of the data center waste heat heating system, the basic power consumption of the data center without waste heat recovery system, and the equivalent energy consumption required by the independent building heating system to provide useful heat.

8. An electronic device, characterized in that, It includes a memory and a processor, as well as computer instructions stored in the memory and running on the processor, which, when executed by the processor, perform the method according to any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, Used to store computer instructions, which, when executed by a processor, perform the method described in any one of claims 1-6.

10. A computer program product, characterized in that, Includes a computer program, which, when executed by a processor, implements the method described in any one of claims 1-6.

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