Method and device for calculating carbon footprint in operation stage of water chilling unit

Abstract

The invention relates to the technical field of carbon footprints, and provides a water chilling unit operation stage carbon footprint calculation method and device. The method comprises the steps of determining indoor cooling and dehumidification demand characteristics of a building based on outdoor temperature and humidity conditions of the building; based on the product performance curve of the water chilling unit, cold supply characteristics of the water chilling unit in the operation stage are determined; and carrying out supply-demand matching on the indoor cooling dehumidification demand characteristics and the cooling characteristics to obtain the annual carbon footprint of the water chilling unit in the operation stage. On one hand, carbon footprint calculation can be carried out based on the actual cooling and dehumidification function of the water chilling unit in the operation stage, the problem that carbon footprint calculation is inaccurate only by considering the outdoor temperature is avoided, and on the other hand, the method can be used for predicting and evaluating different climate regions, different buildings and different types of water chilling units in the design stage of the water chilling unit. According to the carbon footprint in the operation stage of the water chilling unit, the problem that a post-evaluation calculation mode based on a unified standard cannot guide design and model selection is solved.

Description

Technical Field

[0001] The present application relates to the field of carbon footprint technology, and in particular to a method and device for calculating the carbon footprint of a chiller during operation. Background Art

[0002] Carbon footprint refers to the greenhouse gas or carbon dioxide emissions generated during the entire life cycle of a product. At present, the carbon footprint calculation methods widely used at home and abroad are based on various international standards, local standards, industry standards or group standards. In the various stages of the life cycle of a chiller, the carbon footprint of the operation stage accounts for up to 95%, which shows that the accurate calculation of the carbon footprint of the chiller during the operation stage is crucial to the rationality, accuracy and applicability of the carbon footprint calculation of its entire life cycle. Therefore, the carbon footprint calculation method of the chiller during the operation stage should be sufficiently close to the actual operating conditions to better evaluate and predict the carbon footprint of the chiller during the operation stage and guide the low-carbon operation of the chiller.

[0003] However, some of the current product carbon footprint calculation methods do not take into account the operating characteristics of the operation phase and are not suitable for calculating the carbon footprint of the chiller during the operation phase. Some methods take the product operation phase into consideration, but are post-evaluations based on unified standards, and take the heating season as the operating period, and calculate the carbon footprint only considering the outdoor temperature. However, the main function of the chiller during the operation phase is cooling, not heating, and in addition to cooling, it also has the functional attribute of dehumidification. Therefore, they are not suitable for calculating the carbon footprint of the chiller during the operation phase.

[0004] In summary, the current product carbon footprint calculation method, on the one hand, cannot accurately calculate the carbon footprint based on the actual cooling and dehumidification functions of the chiller during the operation phase; on the other hand, it cannot guide the design and selection of chillers under the post-evaluation calculation method based on unified standards. Summary of the invention

[0005] The embodiments of the present application provide a method and device for calculating the carbon footprint of a chiller during its operation phase, so as to solve the technical problem that the current method for calculating the carbon footprint of a product cannot accurately calculate the carbon footprint based on the actual cooling and dehumidification functions during the operation phase of the chiller, and cannot guide the design and selection of the chiller under the post-evaluation calculation method based on unified standards.

[0006] In a first aspect, an embodiment of the present application provides a method for calculating the carbon footprint of a chiller during operation, comprising: Determining indoor cooling and dehumidification demand characteristics of the building based on outdoor temperature and humidity conditions of the building; Determining the cooling characteristics of the chiller during operation based on the product performance curve of the chiller; The indoor cooling and dehumidification demand characteristics are matched with the cooling characteristics to obtain the annual carbon footprint of the chiller during the operation stage.

[0007] In one embodiment, determining the indoor cooling and dehumidification demand characteristics of the building based on the outdoor temperature and humidity conditions of the building includes: Determine the annual required operating days and annual required operating hours of the chiller based on the time when the target condition is met; the target condition is that the outdoor hourly temperature of the building is greater than the indoor temperature design limit of the building, or the outdoor hourly humidity of the building is greater than the indoor humidity design limit of the building; Based on the operation period of the building and the start-up rule of the chiller, the annual start-up demand hours and the annual standby demand hours of the chiller on the annual demand operation day are selected from the annual demand operation hours; The target enthalpy value interval of the chiller within the annual start-up demand hours is divided to obtain a plurality of enthalpy value sub-intervals; the target enthalpy value interval is an interval between the maximum outdoor hourly enthalpy value of the building and the design limit value of the indoor enthalpy value of the building; Based on the multiple enthalpy value sub-intervals, the nominal cooling capacity of the chiller is divided to obtain multiple cooling and dehumidification demand cooling capacities; Based on the multiple enthalpy value sub-intervals and the multiple cooling and dehumidification demand cooling capacities, the annual opening demand hours of the chiller are divided to obtain multiple cooling and dehumidification demand opening hours of the chiller at multiple operating load rates.

[0008] In one embodiment, determining the cooling characteristics of the chiller in the operation stage based on the product performance curve of the chiller includes: Based on the product performance curve of the chiller, the operating energy efficiency of the chiller based on the nominal cooling capacity at multiple operating load rates is obtained.

[0009] In one embodiment, the indoor cooling and dehumidification demand characteristics are matched with the cooling characteristics to obtain the annual carbon footprint of the chiller during the operation phase, including: Matching the operating energy efficiency with the multiple cooling and dehumidification demand refrigeration capacities to obtain multiple input powers of the chiller at multiple operating load rates; Based on the multiple input powers, the multiple cooling and dehumidification demand start-up hours and the annual start-up demand hours, the annual start-up power of the chiller is obtained; Based on the annual start-up power, the annual start-up demand hours, the annual standby power and the annual standby demand hours, the annual total power consumption of the chiller is obtained; Based on the annual total electricity consumption and the carbon emission factor, the annual carbon footprint of the chiller during the operation phase is obtained.

[0010] In one embodiment, after obtaining the annual carbon footprint of the chiller during the operation phase, the method further comprises: Based on the multiple cooling and dehumidification demand cooling capacities and the multiple cooling and dehumidification demand opening hours, obtain the annual cooling capacity of the chiller; Based on the annual carbon footprint and the annual cooling capacity, the annual carbon efficiency of the chiller is obtained.

[0011] In one embodiment, after obtaining the annual carbon footprint of the chiller during the operation phase, the method further comprises: Based on the annual carbon footprint of the chiller during the operation phase and the service life of the chiller, the carbon footprint of the chiller during the operation phase during its entire life cycle is obtained; Based on the carbon footprint of the operation stage in the whole life cycle of the chiller and the carbon footprints of other stages in the whole life cycle of the chiller, the whole life cycle carbon footprint of the chiller is obtained.

[0012] In one embodiment, after obtaining the full life cycle carbon footprint of the chiller, the method includes: Based on the annual cooling capacity of the chiller and the service life of the chiller, the full life cycle cooling capacity of the chiller is obtained; Based on the full life cycle carbon footprint and the full life cycle refrigeration capacity, the full life cycle carbon efficiency of the chiller is obtained.

[0013] In a second aspect, an embodiment of the present application provides a device for calculating the carbon footprint of a chiller during operation, comprising: A demand characteristic acquisition module is used to determine the indoor cooling and dehumidification demand characteristics of the building based on the outdoor temperature and humidity conditions of the building; A cooling characteristic acquisition module is used to determine the cooling characteristics of the chiller during the operation phase based on the product performance curve of the chiller; The matching calculation module is used to match the indoor cooling and dehumidification demand characteristics with the cooling characteristics to obtain the annual carbon footprint of the chiller during the operation stage.

[0014] In a third aspect, an embodiment of the present application provides an electronic device, comprising a processor and a memory storing a computer program, wherein when the processor executes the program, the steps of the method for calculating the carbon footprint of the chiller during the operation phase described in the first aspect are implemented.

[0015] In a fourth aspect, an embodiment of the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of the method for calculating the carbon footprint of the chiller during the operation phase described in the first aspect.

[0016] The present application provides a method and device for calculating the carbon footprint of a chiller during its operation phase, which determines the indoor cooling and dehumidification demand characteristics of a building based on the outdoor temperature and humidity conditions of the building, determines the cooling characteristics of the chiller during its operation phase based on the product performance curve of the chiller, matches the indoor cooling and dehumidification demand characteristics with the cooling characteristics, and obtains the annual carbon footprint of the chiller during its operation phase. The present application calculates the annual carbon footprint of a chiller during its operation phase based on the supply-demand matching relationship between the indoor cooling and dehumidification demand characteristics of the building and the cooling characteristics of the chiller during its operation phase. On the one hand, it can calculate the carbon footprint based on the actual cooling and dehumidification function during the operation phase of the chiller, avoiding the inaccuracy of carbon footprint calculations that only consider the outdoor temperature. On the other hand, it can be used to predict and evaluate the carbon footprint of the chiller during its operation phase when different climate zones, different buildings, and different types of chillers are used during the design phase, avoiding the problem that the post-evaluation calculation method based on a unified standard cannot guide the design selection. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the present application or the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0018] Figure 1 It is one of the flow charts of the method for calculating the carbon footprint of the chiller during the operation phase provided in the embodiment of the present application; Figure 2 This is the second flow chart of the method for calculating the carbon footprint of a chiller during operation provided by an embodiment of the present application; Figure 3 This is the third flow chart of the method for calculating the carbon footprint of a chiller during operation provided in an embodiment of the present application; Figure 4 It is a structural schematic diagram of a carbon footprint calculation device for a chiller in operation stage provided in an embodiment of the present application; Figure 5 It is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0019] In order to make the purpose, technical solutions and advantages of this application clearer, the technical solutions in this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments are part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0020] It should be noted that in the description of the embodiments of the present application, the terms "include", "comprise" or any other variant thereof are intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "including one..." do not exclude the existence of other identical elements in the process, method, article or device including the elements. The orientation or position relationship indicated by the terms "upper", "lower" and the like is based on the orientation or position relationship shown in the drawings, which is only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present application. Unless otherwise clearly specified and limited, the terms "installed", "connected" and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected, or indirectly connected through an intermediate medium, or it can be a connection between the two elements. For those skilled in the art, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0021] The terms "first", "second", etc. in this application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first", "second", etc. are generally of one type, and the number of objects is not limited. For example, the first object can be one or more. In addition, "and / or" represents at least one of the connected objects, and the character " / " generally indicates that the objects associated with each other are in an "or" relationship.

[0022] Figure 1 This is one of the flow charts of the method for calculating the carbon footprint of the chiller during operation provided in the embodiment of the present application. Figure 1 The present application embodiment provides a method for calculating the carbon footprint of a chiller during operation, which may include: 101. Determine the indoor cooling and dehumidification demand characteristics of the building based on the outdoor temperature and humidity conditions of the building; 102. Based on the product performance curve of the chiller, determine the cooling characteristics of the chiller during the operation stage; 103. The indoor cooling and dehumidification demand characteristics are matched with the cooling characteristics to obtain the annual carbon footprint of the chiller during the operation stage.

[0023] In practical applications, there is no strict timing relationship between step 101 and step 102; that is, they can be executed simultaneously, or any one step can be executed first, depending on actual needs and is not limited here.

[0024] In step 101, it is necessary to obtain the outdoor temperature and outdoor humidity of the building to determine the indoor cooling and dehumidification demand of the building.

[0025] In step 102, the product performance curve of the chiller may be an operating energy efficiency curve of the chiller, which is generally a ratio curve of cooling capacity to power during the operation phase of the chiller.

[0026] In step 103, the indoor cooling and dehumidification demand characteristics are matched with the cooling characteristics to achieve a supply-demand balance between the two, so that the parameters related to the chiller and the carbon footprint calculation correspond one to one under the equilibrium state, effectively improving the accuracy of the carbon footprint calculation while meeting the building demand and the chiller supply capacity.

[0027] The method for calculating the carbon footprint of the chiller during the operation phase provided in this embodiment determines the indoor cooling and dehumidification demand characteristics of the building based on the outdoor temperature and humidity conditions of the building, determines the cooling characteristics of the chiller during the operation phase based on the product performance curve of the chiller, matches the indoor cooling and dehumidification demand characteristics with the cooling characteristics, and obtains the annual carbon footprint of the chiller during the operation phase. This embodiment calculates the annual carbon footprint of the chiller during the operation phase based on the supply and demand matching relationship between the indoor cooling and dehumidification demand characteristics of the building and the cooling characteristics of the chiller during the operation phase. On the one hand, it can calculate the carbon footprint based on the actual cooling and dehumidification function of the chiller during the operation phase, avoiding the inaccuracy of carbon footprint calculation considering only the outdoor temperature. On the other hand, it can be used to predict and evaluate the carbon footprint of the chiller during the operation phase when different climate zones, different buildings, and different types of chillers are used during the design phase, avoiding the problem that the post-evaluation calculation method based on a unified standard cannot guide the design selection.

[0028] Figure 2 This is the second flow chart of the method for calculating the carbon footprint of the chiller during operation provided by the embodiment of the present application. Figure 2 In one embodiment, determining the indoor cooling and dehumidification demand characteristics of a building based on the outdoor temperature and humidity conditions of the building may include: 201. Based on the time when the target conditions are met, determine the annual required operating days and annual required operating hours of the chiller; The target condition is that the outdoor hourly temperature of the building is greater than the design limit of the indoor temperature of the building, or the outdoor hourly humidity of the building is greater than the design limit of the indoor humidity of the building; 202. Based on the operation period of the building and the start-up pattern of the chiller, the annual start-up demand hours and annual standby demand hours of the chiller on the annual demand operation days are selected from the annual demand operation hours; 203. Divide the target enthalpy value interval of the chiller during the annual start-up demand hours to obtain multiple enthalpy value sub-intervals; The target enthalpy range is the range between the maximum outdoor hourly enthalpy value of the building and the design limit of the indoor enthalpy value of the building; 204. Based on a plurality of enthalpy value sub-intervals, the nominal cooling capacity of the chiller is divided to obtain a plurality of cooling and dehumidification demand cooling capacities; 205. Based on multiple enthalpy value sub-intervals and multiple cooling and dehumidification demand cooling capacities, the annual opening demand hours of the chiller are divided to obtain multiple cooling and dehumidification demand opening hours of the chiller at multiple operating load rates.

[0029] In step 201, the outdoor hourly temperature can be expressed as , the outdoor hourly humidity is expressed as , the indoor temperature design limit is expressed as , the indoor humidity design limit is expressed as , then when > or > When the water chiller reaches 1000MW, this time is determined as the demand operation time of the chiller, and the demand operation time for the whole year is counted to obtain the demand operation days and hours for the whole year of the chiller.

[0030] In step 202, the chiller may not be turned on all day during the annual demand operation day. Therefore, it is necessary to distinguish the start time and standby time during the annual demand operation day in combination with the annual demand operation hours, so as to obtain the annual start demand hours. and annual standby demand hours . and , which is closely related to the operating period of the building and the opening pattern of the chiller. For example, if the operating period of the building is daytime, the nighttime of the chiller’s annual demand operation day is , other times are .

[0031] In step 203, the target enthalpy value interval is the target air enthalpy value interval, and the outdoor hourly enthalpy value can be expressed as , its maximum value can be expressed as , the design limit of indoor enthalpy can be expressed as , then the target enthalpy range is and The interval between Greater than When the chiller needs to start running, you can = - , the target enthalpy value interval is divided into four enthalpy value sub-intervals, namely , ~ 、 ~ 、 ~ .

[0032] It should be noted that the indoor enthalpy design limit is the design limit under the same working conditions as the indoor temperature design limit and the indoor humidity design limit.

[0033] In step 204, since the target enthalpy value interval is divided into four enthalpy value sub-intervals, the nominal cooling capacity of the chiller can be divided into four parts, corresponding to the four enthalpy value sub-intervals respectively, and the nominal cooling capacity of each part is determined as the cooling and dehumidification demand cooling capacity of the corresponding enthalpy value sub-interval, that is: 1. When lie in ~ + interval, determine the cooling capacity required for cooling and dehumidification at this time Nominal cooling capacity 25%; 2. When lie in ~ interval, determine the cooling capacity required for cooling and dehumidification at this time Nominal cooling capacity 50%; 3. When lie in ~ interval, determine the cooling capacity required for cooling and dehumidification at this time Nominal cooling capacity 75%; 4. When lie in ~ interval, determine the cooling capacity required for cooling and dehumidification at this time Nominal cooling capacity 100%; It should be noted that the nominal cooling capacity can be obtained from the product performance parameter table provided by the chiller manufacturer.

[0034] In step 205, based on each corresponding enthalpy value sub-interval and cooling and dehumidification demand cooling capacity, and combined with the different operating load rates of the chiller, the annual opening demand hours are divided to obtain the cooling and dehumidification demand opening hours corresponding to each enthalpy value sub-interval under different operating load rates.

[0035] In this embodiment, the operating load rate is divided into 25%, 50%, 75% and 100% to correspond to four enthalpy value sub-intervals respectively, and four cooling and dehumidification demand opening hours corresponding to the four enthalpy value sub-intervals under the four operating load rates are obtained. , , and , and open demand hours throughout the year .

[0036] This embodiment fully combines the cooling and dehumidification characteristics of the chiller, and based on the supply and demand matching characteristics of the chiller's cooling and building load, innovatively divides the time proportion of the chiller at different operating load rates by enthalpy value, comprehensively considers the impact of outdoor temperature and humidity on indoor sensible heat and latent heat loads, and is highly matched with the actual operation of the chiller; in addition, since the time proportion of the chiller at different operating load rates is not directly based on the standard specified value, but is determined according to the building operation characteristics (such as indoor temperature and humidity requirements, operating hours, etc.), it is suitable for different types of buildings such as office buildings, commercial buildings, industrial buildings, and is also suitable for different cities in different climate zones such as cold, hot summer and cold winter, that is, this embodiment can be applied to a wider range.

[0037] In one embodiment, determining the cooling characteristics of the chiller during the operation phase based on the product performance curve of the chiller may include: Based on the product performance curve of the chiller, the operating energy efficiency of the chiller based on the nominal cooling capacity at multiple operating load rates is obtained.

[0038] The product performance curve of the chiller can also be obtained through the product performance parameter table provided by the manufacturer.

[0039] It should be noted that in the product performance curve, the operating load rate corresponding to each operating energy efficiency may not be completely consistent with the four operating load rates divided above, so it is necessary to match the parameters later.

[0040] This embodiment obtains multiple operating energy efficiencies corresponding to multiple operating load rates based on the product performance curve of the chiller, which can be matched with the cooling and dehumidification needs of the building to evaluate and predict the carbon footprint of the chiller, thereby guiding the design and selection of the chiller, rather than selecting the chiller based only on a single operating energy efficiency or a single operating load rate of the chiller as in the past. This facilitates detailed performance design in the future and can accurately evaluate the actual operating effect of the chiller in the design stage, reducing the difference between the design effect and the actual operating effect.

[0041] Figure 3 This is the third flow chart of the method for calculating the carbon footprint of the chiller during operation provided by the embodiment of the present application. Figure 3 In one embodiment, the indoor cooling and dehumidification demand characteristics are matched with the cooling characteristics to obtain the annual carbon footprint of the chiller during the operation stage, which may include: 301. Match the operation energy efficiency with multiple cooling and dehumidification demand cooling capacities to obtain multiple input powers of the chiller under multiple operation load rates; 302. Obtaining the annual start-up power of the chiller based on multiple input powers, multiple cooling and dehumidification demand start-up hours, and annual start-up demand hours; 303. Based on the annual start-up power, the annual start-up demand hours, the annual standby power and the annual standby demand hours, the annual total power consumption of the chiller is obtained; 304. Based on the total annual electricity consumption and carbon emission factor, the annual carbon footprint of the chiller during the operation phase is obtained.

[0042] In step 301, since the four operating load rates divided above may not be consistent with the operating load rates divided in the product performance parameter table provided by the manufacturer, the operating energy efficiency may also not match the four operating load rates divided above. At this time, the interpolation method can be used to correspond the operating energy efficiency under different operating load rates provided by the manufacturer to the four operating load rates divided above, and then based on the ratio of the cooling capacity required for cooling and dehumidification to the corresponding operating energy efficiency, the corresponding input power is obtained, which can be expressed as , , and .

[0043] It should be noted that if the chiller is If the units are coupled and operated, the overall input power of the chiller is The sum of the input power of the units is For example, the overall input power of the chiller is ,in, It is coupled Unit No. The input power of the unit when the operating load rate is 25% after supply and demand are matched.

[0044] In step 302, the annual power consumption of the chiller can be calculated based on the following formula: : ; In step 303, the total annual power consumption of the chiller can be calculated based on the following formula: : ; in, It is the annual standby power, which can be obtained from the product performance parameter table provided by the manufacturer.

[0045] In step 304, the annual carbon footprint of the chiller during the operation phase can be calculated based on the following formula: : ; in, It is the carbon emission factor, which can be selected from the official electricity carbon emission factors released in that year.

[0046] Furthermore, the annual cooling capacity of the chiller can be calculated based on the following formula: : ; The annual carbon efficiency of a chiller can be calculated based on the following formula: : ; This embodiment can accurately calculate the annual carbon footprint and annual carbon efficiency of the chiller during the operation stage by matching the supply and demand of various parameters between the building demand and the chiller supply. At the same time, this embodiment adopts a pre-evaluation rather than a posteriori calculation method, and does not calculate the carbon footprint and carbon efficiency based on the test values ​​of the actual operation process of the unit. It can better assist designers in selecting lower-carbon chiller products in the design stage and reduce carbon emissions in the operation stage. It can also help researchers and manufacturers predict and evaluate the energy-saving and emission reduction effects of different chiller products in different climate zones, and plan development paths as early as possible for future product performance improvements.

[0047] In one embodiment, after obtaining the annual carbon footprint of the chiller during the operation phase, the following steps may be performed: Based on the annual carbon footprint of the chiller during the operation stage and the service life of the chiller, the carbon footprint of the operation stage of the chiller's entire life cycle is obtained. Based on the carbon footprint of the operation stage of the chiller's entire life cycle and the carbon footprints of other stages of the chiller's life cycle, the full life cycle carbon footprint of the chiller is obtained.

[0048] The service life of the chiller can be expressed as , then the carbon footprint of the chiller during the operation phase of its entire life cycle is The carbon footprint of raw material acquisition and manufacturing stages in the entire life cycle of the chiller can be expressed as The carbon footprint of the transportation and distribution stage of the chiller in its entire life cycle can be expressed as The carbon footprint of the chiller during its entire life cycle during the dismantling and recycling phase can be expressed as , then the carbon footprint of the chiller throughout its life cycle is .

[0049] Furthermore, the cooling capacity of the chiller over its entire life cycle , then the carbon efficiency of the chiller throughout its life cycle is .

[0050] This embodiment calculates the carbon footprint of the chiller during the operation phase of its entire life cycle based on the service life of the chiller and the annual carbon footprint of the chiller during the operation phase, and obtains the full life cycle carbon footprint of the chiller in combination with the carbon footprints of other stages in the full life cycle. In addition, the full life cycle cooling capacity of the chiller is calculated based on the service life of the chiller and the annual cooling capacity of the chiller, and the full life cycle carbon efficiency of the chiller is obtained in combination with the full life cycle carbon footprint of the chiller. Since the full life cycle carbon data is obtained based on the full year carbon data, the full life cycle carbon data also has the advantages of high accuracy in calculating the full year carbon data and being able to guide the design and selection of chillers.

[0051] In one embodiment, the application scenario is summer cooling of an office building in a certain city, and a centrifugal chiller is used as the calculation object to specifically illustrate the method of this application: Among them, the information of an office building in a certain city is shown in the following table: Table 1 Application scenario information table

[0052] Among them, the product performance parameter table of the centrifugal chiller provided by the manufacturer is as follows: Table 2 Calculation object performance parameters

[0053] Assume that the annual operating hours of the chiller are calculated , annual standby demand hours , then the supply and demand balance table after matching the supply and demand of the four operating load rates divided above is as follows: Table 3 Supply and demand balance table

[0054] According to Table 3: , , and ; , , and ; , , and ; ; but:

[0055] ; Pick hour, 2.

[0056] Further:

[0057] ; but 2 .

[0058] Based on the carbon footprint of the raw material acquisition stage, the carbon footprint of the manufacturing stage, the carbon footprint of the transportation and distribution stage, and the carbon footprint of the dismantling and recycling stage during the whole life cycle of the chiller disclosed by the manufacturer, combined with the calculated carbon footprint of the operation stage, the carbon footprint proportion of each stage of the whole life cycle of the chiller can be obtained as follows: 1. Raw materials acquisition stage: 6.10%; 2. Production and manufacturing stage: 1.19%; 3. Transportation and distribution stage proportion: 0.09%; 4. Operational stage: 92.13%; 5. Proportion of demolition and recycling stage: 0.50%.

[0059] Furthermore, the carbon efficiency of the chiller over its entire life cycle can be calculated as 2 .

[0060] The calculation results show that the lower the carbon efficiency of the whole life cycle and the operation stage, the better the performance of the chiller. The longer the service life of the chiller, the lower the carbon efficiency of the whole life cycle, and the closer the carbon efficiency of the whole life cycle is to the carbon efficiency of the operation stage.

[0061] Furthermore, the method of the present application can also provide strategy optimization when multiple units are coupled and operated.

[0062] For example, when two chillers of the same size are used for cooling, there are two operating strategies for the two units: A. Both units operate at the same time, with average output, that is, the output cooling capacity is the same; B. Add or subtract units one by one according to the load. When the cooling capacity of one unit is insufficient, the other unit will supplement. By adopting the above carbon footprint calculation scheme, the overall annual carbon efficiency and life cycle carbon efficiency of the two units when strategy A is adopted are higher than the corresponding indicators when strategy B is adopted, that is, strategy B is more low-carbon and energy-saving. The results are shown in the following table: Table 4 Strategy comparison table

[0063] This is because the performance curve of the chiller determines that the higher the load rate, the lower the input power required for unit cooling capacity. Therefore, the operation stage of a single unit should be kept at a high load rate as much as possible. This conclusion can also provide a reference for the design and selection of air-conditioning products. For example, it is not advisable to use a large safety factor during design and selection to avoid the unit being too large, which leads to low operating efficiency when running at a low load rate, thereby increasing operating power consumption and generating higher carbon emissions, that is, a larger carbon footprint. Products with higher energy efficiency at low load rates should be selected. The method of this application can also be used to evaluate the carbon footprint and carbon efficiency of a product under different operating strategies during the design stage, thereby guiding the optimization of operating strategies.

[0064] The carbon footprint calculation device for the chiller operation stage provided in an embodiment of the present application is described below. The carbon footprint calculation device for the chiller operation stage described below and the carbon footprint calculation method for the chiller operation stage described above can be referenced to each other.

[0065] Figure 4 Schematic diagram of the structure of the carbon footprint calculation device for the chiller operation stage provided by the embodiment of the present application. Figure 4 The present application embodiment provides a device for calculating the carbon footprint of a chiller during operation, which may include: The demand characteristic acquisition module 401 is used to determine the indoor cooling and dehumidification demand characteristics of the building based on the outdoor temperature and humidity conditions of the building; The cooling characteristic acquisition module 402 is used to determine the cooling characteristic of the chiller in the operation stage based on the product performance curve of the chiller; The matching calculation module 403 is used to match the indoor cooling and dehumidification demand characteristics with the cooling characteristics to obtain the annual carbon footprint of the chiller during the operation stage.

[0066] The carbon footprint calculation device for the operation stage of the chiller provided in this embodiment determines the indoor cooling and dehumidification demand characteristics of the building based on the outdoor temperature and humidity conditions of the building, determines the cooling characteristics of the chiller in the operation stage based on the product performance curve of the chiller, matches the indoor cooling and dehumidification demand characteristics with the cooling characteristics, and obtains the annual carbon footprint of the chiller in the operation stage. This embodiment calculates the annual carbon footprint of the chiller in the operation stage based on the supply and demand matching relationship between the indoor cooling and dehumidification demand characteristics of the building and the cooling characteristics of the chiller in the operation stage. On the one hand, it can calculate the carbon footprint based on the actual cooling and dehumidification function of the chiller in the operation stage, avoiding the inaccurate problem of carbon footprint calculation considering only the outdoor temperature. On the other hand, it can be used for predicting and evaluating the carbon footprint of the chiller in the operation stage when different climate zones, different buildings, and different types of chillers are used in the design stage, avoiding the problem that the post-evaluation calculation method based on unified standards cannot guide the design selection.

[0067] In one embodiment, the demand feature acquisition module 401 is specifically used to: Determine the annual required operating days and annual required operating hours of the chiller based on the time when the target condition is met; the target condition is that the outdoor hourly temperature of the building is greater than the indoor temperature design limit of the building, or the outdoor hourly humidity of the building is greater than the indoor humidity design limit of the building; Based on the operation period of the building and the start-up rule of the chiller, the annual start-up demand hours and the annual standby demand hours of the chiller on the annual demand operation day are selected from the annual demand operation hours; The target enthalpy value interval of the chiller within the annual start-up demand hours is divided to obtain a plurality of enthalpy value sub-intervals; the target enthalpy value interval is an interval between the maximum outdoor hourly enthalpy value of the building and the design limit value of the indoor enthalpy value of the building; Based on the multiple enthalpy value sub-intervals, the nominal cooling capacity of the chiller is divided to obtain multiple cooling and dehumidification demand cooling capacities; Based on the multiple enthalpy value sub-intervals and the multiple cooling and dehumidification demand cooling capacities, the annual opening demand hours of the chiller are divided to obtain multiple cooling and dehumidification demand opening hours of the chiller at multiple operating load rates.

[0068] In one embodiment, the cooling characteristics acquisition module 402 is specifically used to: Based on the product performance curve of the chiller, the operating energy efficiency of the chiller based on the nominal cooling capacity at multiple operating load rates is obtained.

[0069] In one embodiment, the matching calculation module 403 is specifically used to: Matching the operating energy efficiency with the multiple cooling and dehumidification demand refrigeration capacities to obtain multiple input powers of the chiller at multiple operating load rates; Based on the multiple input powers, the multiple cooling and dehumidification demand start-up hours and the annual start-up demand hours, the annual start-up power of the chiller is obtained; Based on the annual start-up power, the annual start-up demand hours, the annual standby power and the annual standby demand hours, the annual total power consumption of the chiller is obtained; Based on the annual total electricity consumption and the carbon emission factor, the annual carbon footprint of the chiller during the operation phase is obtained.

[0070] In one embodiment, the matching calculation module 403 is further configured to: Based on the multiple cooling and dehumidification demand cooling capacities and the multiple cooling and dehumidification demand opening hours, obtain the annual cooling capacity of the chiller; Based on the annual carbon footprint and the annual cooling capacity, the annual carbon efficiency of the chiller is obtained.

[0071] In one embodiment, the matching calculation module 403 is further configured to: Based on the annual carbon footprint of the chiller during the operation phase and the service life of the chiller, the carbon footprint of the chiller during the operation phase during its entire life cycle is obtained; Based on the carbon footprint of the operation stage in the whole life cycle of the chiller and the carbon footprints of other stages in the whole life cycle of the chiller, the whole life cycle carbon footprint of the chiller is obtained.

[0072] In one embodiment, the matching calculation module 403 is further configured to: Based on the annual cooling capacity of the chiller and the service life of the chiller, the full life cycle cooling capacity of the chiller is obtained; Based on the full life cycle carbon footprint and the full life cycle refrigeration capacity, the full life cycle carbon efficiency of the chiller is obtained.

[0073] FIG5 is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. Figure 5As shown, the electronic device may include: a processor 510, a communication interface 520, a memory 530 and a communication bus 540, wherein the processor 510, the communication interface 520 and the memory 530 communicate with each other through the communication bus 540. The processor 510 may call a computer program in the memory 530 to execute the steps of the method for calculating the carbon footprint of the chiller during operation, for example, including: Determining indoor cooling and dehumidification demand characteristics of the building based on outdoor temperature and humidity conditions of the building; Determining the cooling characteristics of the chiller during operation based on the product performance curve of the chiller; The indoor cooling and dehumidification demand characteristics are matched with the cooling characteristics to obtain the annual carbon footprint of the chiller during the operation stage.

[0074] In addition, the logic instructions in the above-mentioned memory 530 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0075] On the other hand, an embodiment of the present application further provides a computer program product, the computer program product comprising a computer program, the computer program can be stored on a non-transitory computer-readable storage medium, and when the computer program is executed by a processor, the computer can perform the steps of the method for calculating the carbon footprint of the chiller in the operation stage provided in the above embodiments, for example, including: Determining indoor cooling and dehumidification demand characteristics of the building based on outdoor temperature and humidity conditions of the building; Determining the cooling characteristics of the chiller during operation based on the product performance curve of the chiller; The indoor cooling and dehumidification demand characteristics are matched with the cooling characteristics to obtain the annual carbon footprint of the chiller during the operation stage.

[0076] On the other hand, an embodiment of the present application further provides a non-transitory computer-readable storage medium on which a computer program is stored, wherein the computer program is used to enable a processor to execute the steps of the method for calculating the carbon footprint of the chiller in the operation stage provided in the above embodiments, for example, including: Determining indoor cooling and dehumidification demand characteristics of the building based on outdoor temperature and humidity conditions of the building; Determining the cooling characteristics of the chiller during operation based on the product performance curve of the chiller; The indoor cooling and dehumidification demand characteristics are matched with the cooling characteristics to obtain the annual carbon footprint of the chiller during the operation stage.

[0077] The non-transitory computer-readable storage medium can be any available medium or data storage device that can be accessed by the processor, including but not limited to magnetic storage (such as floppy disks, hard disks, magnetic tapes, magneto-optical disks (MO), etc.), optical storage (such as CD, DVD, BD, HVD, etc.), and semiconductor storage (such as ROM, EPROM, EEPROM, non-volatile memory (NAND FLASH), solid-state drive (SSD)), etc.

[0078] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0079] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0080] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for calculating the carbon footprint of a chiller during operation, characterized in that: include: Determining indoor cooling and dehumidification demand characteristics of the building based on outdoor temperature and humidity conditions of the building; Determining the cooling characteristics of the chiller during operation based on the product performance curve of the chiller; The indoor cooling and dehumidification demand characteristics are matched with the cooling characteristics to obtain the annual carbon footprint of the chiller during the operation stage.

2. The method for calculating the carbon footprint of a chiller during operation according to claim 1, characterized in that: The step of determining indoor cooling and dehumidification demand characteristics of the building based on outdoor temperature and humidity conditions of the building includes: Determine the annual required operating days and annual required operating hours of the chiller based on the time when the target condition is met; the target condition is that the outdoor hourly temperature of the building is greater than the indoor temperature design limit of the building, or the outdoor hourly humidity of the building is greater than the indoor humidity design limit of the building; Based on the operation period of the building and the start-up rule of the chiller, the annual start-up demand hours and the annual standby demand hours of the chiller on the annual demand operation day are selected from the annual demand operation hours; The target enthalpy value interval of the chiller within the annual start-up demand hours is divided to obtain a plurality of enthalpy value sub-intervals; the target enthalpy value interval is an interval between the maximum outdoor hourly enthalpy value of the building and the design limit value of the indoor enthalpy value of the building; Based on the multiple enthalpy value sub-intervals, the nominal cooling capacity of the chiller is divided to obtain multiple cooling and dehumidification demand cooling capacities; Based on the multiple enthalpy value sub-intervals and the multiple cooling and dehumidification demand cooling capacities, the annual opening demand hours of the chiller are divided to obtain multiple cooling and dehumidification demand opening hours of the chiller at multiple operating load rates.

3. The method for calculating the carbon footprint of a chiller during operation according to claim 2, characterized in that: The step of determining the cooling characteristics of the chiller during the operation phase based on the product performance curve of the chiller includes: Based on the product performance curve of the chiller, the operating energy efficiency of the chiller based on the nominal cooling capacity at multiple operating load rates is obtained.

4. The method for calculating the carbon footprint of a chiller during operation according to claim 3, characterized in that: The indoor cooling and dehumidification demand characteristics are matched with the cooling characteristics to obtain the annual carbon footprint of the chiller during the operation stage, including: Matching the operating energy efficiency with the multiple cooling and dehumidification demand refrigeration capacities to obtain multiple input powers of the chiller at multiple operating load rates; Based on the multiple input powers, the multiple cooling and dehumidification demand start-up hours and the annual start-up demand hours, the annual start-up power of the chiller is obtained; Based on the annual start-up power, the annual start-up demand hours, the annual standby power and the annual standby demand hours, the annual total power consumption of the chiller is obtained; Based on the annual total electricity consumption and the carbon emission factor, the annual carbon footprint of the chiller during the operation phase is obtained.

5. The method for calculating the carbon footprint of a chiller during operation according to claim 2, characterized in that: After obtaining the annual carbon footprint of the chiller during the operation phase, it includes: Based on the multiple cooling and dehumidification demand cooling capacities and the multiple cooling and dehumidification demand opening hours, obtain the annual cooling capacity of the chiller; Based on the annual carbon footprint and the annual cooling capacity, the annual carbon efficiency of the chiller is obtained.

6. The method for calculating the carbon footprint of a chiller during operation according to claim 5, characterized in that: After obtaining the annual carbon footprint of the chiller during the operation phase, it includes: Based on the annual carbon footprint of the chiller during the operation phase and the service life of the chiller, the carbon footprint of the chiller during the operation phase during its entire life cycle is obtained; Based on the carbon footprint of the operation stage in the whole life cycle of the chiller and the carbon footprints of other stages in the whole life cycle of the chiller, the whole life cycle carbon footprint of the chiller is obtained.

7. The method for calculating the carbon footprint of a chiller during operation according to claim 6, characterized in that: After obtaining the carbon footprint of the chiller throughout its life cycle, the following steps are included: Based on the annual cooling capacity of the chiller and the service life of the chiller, the full life cycle cooling capacity of the chiller is obtained; Based on the full life cycle carbon footprint and the full life cycle refrigeration capacity, the full life cycle carbon efficiency of the chiller is obtained.

8. A device for calculating the carbon footprint of a chiller during operation, characterized in that: include: A demand characteristic acquisition module is used to determine the indoor cooling and dehumidification demand characteristics of the building based on the outdoor temperature and humidity conditions of the building; A cooling characteristic acquisition module is used to determine the cooling characteristics of the chiller during the operation phase based on the product performance curve of the chiller; The matching calculation module is used to match the indoor cooling and dehumidification demand characteristics with the cooling characteristics to obtain the annual carbon footprint of the chiller during the operation stage.

9. An electronic device comprising a processor and a memory storing a computer program, characterized in that: When the processor executes the computer program, the steps of the method for calculating the carbon footprint of the chiller during the operation phase according to any one of claims 1 to 7 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method for calculating the carbon footprint of a chiller during operation phase according to any one of claims 1 to 7 are implemented.

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