Carbon footprint calculation method and device for chiller operation stage

Abstract

The present application relates to the field of carbon footprint technology, and provides a method and device for calculating the carbon footprint of a chiller during its operation phase. The method comprises: determining the indoor cooling and dehumidification demand characteristics of a building based on the outdoor temperature and humidity conditions of the building; determining the cooling characteristics of the chiller during its operation phase based on the product performance curve of the chiller; matching the indoor cooling and dehumidification demand characteristics with the cooling characteristics to obtain the annual carbon footprint of the chiller during its operation phase. On the one hand, the present application can calculate the carbon footprint based on the actual cooling and dehumidification function of the chiller during its operation phase, thereby avoiding the inaccurate problem 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 its operation phase when different climate zones, different buildings, and different types of chillers are used during the design phase, thereby avoiding the problem that the post-evaluation calculation method based on a unified standard cannot guide the design selection.

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. Currently, the carbon footprint calculation methods widely used at home and abroad are based on various international standards, local standards, industry standards or group standards. Among the various stages of the chiller's life cycle, 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's operation stage is crucial to the rationality, accuracy and applicability of its carbon footprint calculation throughout its life cycle. Therefore, the carbon footprint calculation method of the chiller's 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 use 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 its operation phase; on the other hand, under the post-evaluation calculation method based on unified standards, it cannot guide the design and selection of chillers. 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, which is used to solve the technical problem that the current product carbon footprint calculation method cannot, on the one hand, accurately calculate the carbon footprint based on the actual cooling and dehumidification functions of the chiller during its operation phase; on the other hand, 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:

[0007] Determining indoor cooling and dehumidification demand characteristics of the building based on the building's outdoor temperature and humidity conditions;

[0008] Determining the cooling characteristics of the chiller during operation based on the chiller's product performance curve;

[0009] 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.

[0010] 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:

[0011] Determining the annual required operating days and annual required operating hours of the chiller based on the time when a target condition is satisfied; the target condition being that the hourly outdoor temperature of the building is greater than the design limit of the indoor temperature of the building, or the hourly outdoor humidity of the building is greater than the design limit of the indoor humidity of the building;

[0012] Based on the operating period of the building and the start-up pattern of the chiller, the annual start-up demand hours and the annual standby demand hours of the chiller on the annual demand operation days are filtered out from the annual demand operation hours;

[0013] Dividing the target enthalpy value interval of the chiller within the annual start-up demand hours 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 of the indoor enthalpy value of the building;

[0014] 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;

[0015] 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.

[0016] In one embodiment, determining the cooling characteristics of the chiller during operation based on the chiller's product performance curve includes:

[0017] 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.

[0018] In one embodiment, matching the indoor cooling and dehumidification demand characteristics with the cooling characteristics to obtain the annual carbon footprint of the chiller during the operation phase includes:

[0019] Matching the operating energy efficiency with the multiple cooling and dehumidification demand cooling capacities to obtain multiple input powers of the chiller at multiple operating load rates;

[0020] Obtaining the annual operating power of the chiller based on the multiple input powers, the multiple cooling and dehumidification demand operating hours, and the annual operating demand hours;

[0021] Obtaining the total annual power consumption of the chiller based on the annual on-power, the annual on-demand hours, the annual standby power, and the annual standby demand hours;

[0022] 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.

[0023] In one embodiment, after obtaining the annual carbon footprint of the chiller during the operation phase, the method further comprises:

[0024] Obtaining an annual cooling capacity of the chiller based on the multiple cooling and dehumidification demand cooling capacities and the multiple cooling and dehumidification demand opening hours;

[0025] Based on the annual carbon footprint and the annual cooling capacity, the annual carbon efficiency of the chiller is obtained.

[0026] In one embodiment, after obtaining the annual carbon footprint of the chiller during the operation phase, the method further comprises:

[0027] 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 of the entire life cycle is obtained;

[0028] The full life cycle carbon footprint of the chiller is obtained based on the carbon footprint of the operation stage in the full life cycle of the chiller and the carbon footprints of other stages in the full life cycle of the chiller.

[0029] In one embodiment, after obtaining the full life cycle carbon footprint of the chiller, the method includes:

[0030] 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;

[0031] Based on the full life cycle carbon footprint and the full life cycle cooling capacity, the full life cycle carbon efficiency of the chiller is obtained.

[0032] In a second aspect, an embodiment of the present application provides a device for calculating the carbon footprint of a chiller during operation, comprising:

[0033] 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;

[0034] A cooling characteristics acquisition module is used to determine the cooling characteristics of the chiller during operation based on the chiller's product performance curve;

[0035] 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.

[0036] 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 operation described in the first aspect are implemented.

[0037] In a fourth aspect, an embodiment of the present application provides a computer program product, comprising a computer program, which, when executed by a processor, implements the steps of the method for calculating the carbon footprint of the chiller during operation as described in the first aspect.

[0038] The present application provides a method and device for calculating the carbon footprint of a chiller during its operation phase. Based on the outdoor temperature and humidity conditions of the building, the method and device determine the indoor cooling and dehumidification demand characteristics of the building, determine the cooling characteristics of the chiller during its operation phase based on the product performance curve of the chiller, match the indoor cooling and dehumidification demand characteristics with the cooling characteristics, and obtain 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 functions of the chiller during its operation phase, 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

[0039] 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 any creative work.

[0040] Figure 1 This is one of the flow charts of the method for calculating the carbon footprint of a chiller during operation provided by an embodiment of the present application;

[0041] 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;

[0042] Figure 3 This is the third flow chart of the method for calculating the carbon footprint of a chiller during operation provided by an embodiment of the present application;

[0043] Figure 4 This is a schematic diagram of the structure of the carbon footprint calculation device for the chiller operation stage provided by an embodiment of the present application;

[0044] Figure 5 It is a structural diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0045] To make the objectives, technical solutions, and advantages of this application more clear, the technical solutions in this application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of this application. Obviously, the described embodiments are only 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 making any creative efforts are within the scope of protection of this application.

[0046] It should be noted that in the description of the embodiments of the present application, the terms "comprise", "include" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device comprising 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, an element defined by the phrase "comprises a..." does not exclude the presence of other identical elements in the process, method, article or device comprising the element. The orientation or positional relationship indicated by the terms "upper" and "lower" is based on the orientation or positional relationship shown in the accompanying drawings and is only for the convenience of describing the present application and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operate in a specific orientation, and therefore should not be understood as limiting the present application. Unless otherwise expressly specified and limited, the terms "mounted", "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 a direct connection, an indirect connection through an intermediate medium, or it can be internal communication between 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.

[0047] The terms "first," "second," and the like in this application are used to distinguish similar objects, and are not used to describe a specific order or precedence. It should be understood that such terms are interchangeable where appropriate, so that embodiments of this application can be implemented in an order other than that illustrated or described herein. Furthermore, the terms "first," "second," and the like generally distinguish objects of a class and do not limit the number of objects; for example, the first object can be one or more. Furthermore, "and / or" indicates at least one of the connected objects, and the character " / " generally indicates an "or" relationship between the connected objects.

[0048] Figure 1 This is one of the flow charts of the carbon footprint calculation method for the chiller operation phase provided by the embodiment of the present application. Figure 1 The present application provides a method for calculating the carbon footprint of a chiller during operation, which may include:

[0049] 101. Determine the indoor cooling and dehumidification demand characteristics of the building based on the building's outdoor temperature and humidity conditions;

[0050] 102. Based on the chiller's product performance curve, determine the cooling characteristics of the chiller during operation;

[0051] 103. Match the indoor cooling and dehumidification demand characteristics with the cooling characteristics to obtain the annual carbon footprint of the chiller during the operation phase.

[0052] In actual 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.

[0053] In step 101, the outdoor temperature and outdoor humidity of the building need to be obtained to determine the indoor cooling and dehumidification requirements of the building.

[0054] 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.

[0055] 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. This ensures that the parameters related to the chiller and the carbon footprint calculation correspond one-to-one under this equilibrium state, effectively improving the accuracy of the carbon footprint calculation while meeting both the building demand and the chiller supply capacity.

[0056] The method for calculating the carbon footprint of a chiller during its operation phase provided in this embodiment determines the indoor cooling and dehumidification demand characteristics of a building based on the building's outdoor temperature and humidity conditions, determines the cooling characteristics of the chiller during its operation phase based on the chiller's product performance curve, and matches the indoor cooling and dehumidification demand characteristics with the cooling characteristics to obtain the annual carbon footprint of the chiller during its operation phase. This embodiment calculates the annual carbon footprint of a chiller during its operation phase based on the supply-demand matching relationship between the building's indoor cooling and dehumidification demand characteristics 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 functions of the chiller during its operation phase, avoiding the inaccuracy of carbon footprint calculations that only consider outdoor temperature. On the other hand, it can be used to predict and evaluate the carbon footprint of a 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 a post-evaluation calculation method based on a unified standard cannot guide design selection.

[0057] Figure 2 This is the second flow chart of the carbon footprint calculation method for the chiller operation phase provided by the embodiment of the present application. Figure 2 In one embodiment, determining indoor cooling and dehumidification demand characteristics of a building based on the outdoor temperature and humidity conditions of the building may include:

[0058] 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;

[0059] 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;

[0060] 202. Based on the building's operating hours and the chiller's startup pattern, select the chiller's annual startup demand hours and annual standby demand hours on the annual demand operation days from the annual demand operation hours;

[0061] 203. Divide the target enthalpy value interval of the chiller during the annual operating demand hours to obtain multiple enthalpy value sub-intervals;

[0062] 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;

[0063] 204. Based on multiple enthalpy value sub-intervals, the nominal cooling capacity of the chiller is divided to obtain multiple cooling and dehumidification demand cooling capacities;

[0064] 205. Based on multiple enthalpy value sub-intervals and multiple cooling and dehumidification demand cooling capacities, the annual operating demand hours of the chiller are divided to obtain multiple cooling and dehumidification demand operating hours of the chiller under multiple operating load rates.

[0065] 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 , this time is determined as the demand operation time of the chiller, and the demand operation time of the whole year is counted to obtain the demand operation days and hours of the chiller throughout the year.

[0066] 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 on time and standby time during the annual demand operation day in combination with the annual demand operation hours, so as to obtain the annual demand operation hours. and standby demand hours throughout the year . 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 night time of the chiller’s annual demand operation day is , other times are .

[0067] 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 、 ~ 、 ~ 、 ~ .

[0068] It should be noted that the indoor enthalpy design limit is the design limit under the same operating conditions as the indoor temperature design limit and indoor humidity design limit.

[0069] 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 also be divided into four parts, corresponding to the four enthalpy value sub-intervals respectively. 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:

[0070] 1. When lie in ~ + interval, determine the cooling and dehumidification demand cooling capacity at this time Nominal cooling capacity 25%;

[0071] 2. When lie in ~ interval, determine the cooling and dehumidification demand cooling capacity at this time Nominal cooling capacity 50%;

[0072] 3. When lie in ~ interval, determine the cooling and dehumidification demand cooling capacity at this time Nominal cooling capacity 75%;

[0073] 4. When lie in ~ interval, determine the cooling and dehumidification demand cooling capacity at this time Nominal cooling capacity 100%;

[0074] It should be noted that the nominal cooling capacity can be obtained from the product performance parameter table provided by the chiller manufacturer.

[0075] In step 205, based on each corresponding enthalpy value sub-interval and the cooling capacity of the cooling and dehumidification demand, and combined with the different operating load rates of the chiller, the opening demand hours throughout the year are divided to obtain the cooling and dehumidification demand opening hours corresponding to each enthalpy value sub-interval under different operating load rates.

[0076] In this embodiment, the operating load rate is divided into 25%, 50%, 75% and 100% to correspond to the four enthalpy value sub-intervals respectively, and the 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 .

[0077] This embodiment fully combines the cooling and dehumidification characteristics of the chiller, and based on the supply-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 consistent with the actual operating conditions 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 values, but is determined according to the building operating 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, and 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.

[0078] In one embodiment, determining the cooling characteristics of the chiller during operation based on the chiller's product performance curve may include:

[0079] 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.

[0080] The product performance curve of the chiller can also be obtained through the product performance parameter table provided by the manufacturer.

[0081] 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 various parameters later.

[0082] 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 the previous selection based only on a single operating energy efficiency or a single operating load rate of the chiller. This facilitates future refined performance design and can accurately evaluate the actual operating effect of the chiller during the design stage, reducing the difference between the design effect and the actual operating effect.

[0083] Figure 3 This is the third flow chart of the carbon footprint calculation method for the chiller operation phase provided by the embodiment of the present application. Figure 3In one embodiment, indoor cooling and dehumidification demand characteristics are matched with cooling characteristics to obtain the annual carbon footprint of the chiller during the operation phase, which may include:

[0084] 301. Match the operating energy efficiency with multiple cooling and dehumidification demand cooling capacities to obtain multiple input powers of the chiller under multiple operating load rates;

[0085] 302. Obtain the annual operating power of the chiller based on multiple input powers, multiple cooling and dehumidification demand operating hours, and annual operating demand hours;

[0086] 303. Based on the annual on-power, annual on-demand hours, annual standby power, and annual standby demand hours, obtain the annual total power consumption of the chiller;

[0087] 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.

[0088] In step 301, since the four aforementioned operating load rates may not be consistent with the operating load rates in the product performance parameter table provided by the manufacturer, the operating energy efficiency may also not match the four aforementioned operating load rates. In this case, the interpolation method can be used to correspond the operating energy efficiency at different operating load rates provided by the manufacturer to the four aforementioned operating load rates. 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 .

[0089] It should be noted that if the chiller is If the chillers 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, is coupled The first unit The input power of the unit when the operating load rate is 25% after supply and demand are matched.

[0090] In step 302, the annual operating power of the chiller can be calculated based on the following formula: :

[0091] ;

[0092] In step 303, the total annual power consumption of the chiller can be calculated based on the following formula: :

[0093] ;

[0094] in, It is the annual standby power, which can be obtained from the product performance parameter table provided by the manufacturer.

[0095] In step 304, the annual carbon footprint of the chiller during the operation phase can be calculated based on the following formula: :

[0096] ;

[0097] in, It is the carbon emission factor, which can be selected from the official electricity carbon emission factors released in that year.

[0098] Furthermore, the annual cooling capacity of the chiller can be calculated based on the following formula: :

[0099] ;

[0100] The annual carbon efficiency of a chiller can be calculated based on the following formula: :

[0101] ;

[0102] This embodiment can accurately calculate the annual carbon footprint and carbon efficiency of the chiller during the operation phase by matching the supply and demand of various parameters between building demand and 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 ​​during the actual operation of the unit. This can better assist designers in selecting lower-carbon chiller products during the design phase and reduce carbon emissions during the operation phase. 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 for future product performance improvements as early as possible.

[0103] In one embodiment, obtaining the annual carbon footprint of the chiller during the operation phase may include:

[0104] 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 operation phase of the chiller's entire life cycle is obtained. Based on the carbon footprint of the operation phase of the chiller's entire life cycle and the carbon footprints of other stages of the chiller's entire life cycle, the carbon footprint of the chiller's entire life cycle is obtained.

[0105] 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's entire life cycle can be expressed as The carbon footprint of the dismantling and recycling phase of the chiller's entire life cycle can be expressed as , then the carbon footprint of the chiller throughout its life cycle is .

[0106] Furthermore, the cooling capacity of the chiller throughout its life cycle , then the carbon efficiency of the chiller throughout its life cycle is .

[0107] This embodiment calculates the carbon footprint of the chiller during its entire life cycle during the operation phase based on the service life of the chiller and the annual carbon footprint of the chiller during the operation phase, and combines the carbon footprints of other phases in the life cycle to obtain the full life cycle carbon footprint of the chiller. 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 the chiller.

[0108] 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:

[0109] The information of an office building in a certain city is shown in the following table:

[0110] Table 1 Application scenario information table

[0111]

[0112] Among them, the product performance parameter table of the centrifugal chiller provided by the manufacturer is as follows:

[0113] Table 2 Calculation object performance parameters

[0114]

[0115] Assume that the annual operating hours of the chiller are calculated , standby demand hours throughout the year , then the supply and demand balance table after matching the supply and demand of the four operating load rates divided above is as follows:

[0116] Table 3 Supply and demand balance sheet

[0117]

[0118] According to Table 3:

[0119] 、 、 and ;

[0120] 、 、 and ;

[0121] 、 、 and ;

[0122] ;

[0123] but:

[0124]

[0125]

[0126] ;

[0127] Pick hour, 2.

[0128] Further:

[0129]

[0130]

[0131] ;

[0132] but 2 .

[0133] 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 entire 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 entire life cycle of the chiller can be obtained as follows:

[0134] 1. Raw materials acquisition stage: 6.10%;

[0135] 2. Production and manufacturing stage: 1.19%;

[0136] 3. Transportation and distribution stage: 0.09%;

[0137] 4. Operational stage: 92.13%;

[0138] 5. Proportion of demolition and recycling stage: 0.50%.

[0139] Furthermore, the carbon efficiency of the chiller throughout its life cycle can be calculated as 2 .

[0140] Calculations show that the lower the carbon efficiency over the entire lifecycle and during operation, the better the chiller's performance. The longer the chiller's service life, the lower its carbon efficiency over the entire lifecycle, and the closer its carbon efficiency over the entire lifecycle is to its carbon efficiency during operation.

[0141] Furthermore, the method of the present application can also provide strategy optimization when multiple units are coupled and operated.

[0142] For example, when using two chillers of the same size for cooling, there are two operating strategies for the two units: A. Both units operate simultaneously, with average output, that is, the output cooling capacity is the same; B. Units are added or removed one by one according to load. When the cooling capacity of one unit is insufficient, the other unit supplements. By using the above carbon footprint calculation scheme, the overall annual carbon efficiency and life cycle carbon efficiency of the two units using strategy A are higher than the corresponding indicators using strategy B. In other words, strategy B is more low-carbon and energy-efficient. The results are shown in the following table:

[0143] Table 4 Strategy comparison table

[0144]

[0145] This is because the performance curve of the chiller determines that the higher its load rate, the lower the input power required per unit of cooling capacity. Therefore, the operation phase of a single unit should be maintained 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 over-sizing the unit, which will lead to low operating energy 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. This application method can also be used to evaluate the carbon footprint and carbon efficiency of a product under different operating strategies during the design phase, thereby guiding the optimization of the operating strategy.

[0146] 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.

[0147] Figure 4This is a schematic diagram of the structure of the carbon footprint calculation device for the chiller operation phase provided by the embodiment of the present application. Figure 4 The present application provides a device for calculating the carbon footprint of a chiller during operation, which may include:

[0148] 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;

[0149] The cooling characteristic acquisition module 402 is used to determine the cooling characteristics of the chiller during operation based on the product performance curve of the chiller;

[0150] 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 phase.

[0151] The carbon footprint calculation device for a chiller during its operation phase provided in this embodiment determines the indoor cooling and dehumidification demand characteristics of a building based on the building's outdoor temperature and humidity conditions, determines the cooling characteristics of the chiller during its operation phase based on the chiller's product performance curve, and matches the indoor cooling and dehumidification demand characteristics with the cooling characteristics to obtain the annual carbon footprint of the chiller during its operation phase. This embodiment calculates the annual carbon footprint of a chiller during its operation phase based on the supply-demand matching relationship between the building's indoor cooling and dehumidification demand characteristics 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 functions of the chiller during its operation phase, avoiding the inaccuracy of carbon footprint calculations that only consider outdoor temperature. On the other hand, it can be used to predict and evaluate the carbon footprint of a chiller during its operation phase during the design phase when different climate zones, different buildings, and different types of chillers are used, avoiding the problem that a post-evaluation calculation method based on a unified standard cannot guide design selection.

[0152] In one embodiment, the demand feature acquisition module 401 is specifically configured to:

[0153] Determining the annual required operating days and annual required operating hours of the chiller based on the time when a target condition is satisfied; the target condition being that the hourly outdoor temperature of the building is greater than the design limit of the indoor temperature of the building, or the hourly outdoor humidity of the building is greater than the design limit of the indoor humidity of the building;

[0154] Based on the operating period of the building and the start-up pattern of the chiller, the annual start-up demand hours and the annual standby demand hours of the chiller on the annual demand operation days are filtered out from the annual demand operation hours;

[0155] Dividing the target enthalpy value interval of the chiller within the annual start-up demand hours 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 of the indoor enthalpy value of the building;

[0156] 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;

[0157] 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.

[0158] In one embodiment, the cooling characteristics acquisition module 402 is specifically configured to:

[0159] 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.

[0160] In one embodiment, the matching calculation module 403 is specifically configured to:

[0161] Matching the operating energy efficiency with the multiple cooling and dehumidification demand cooling capacities to obtain multiple input powers of the chiller at multiple operating load rates;

[0162] Obtaining the annual operating power of the chiller based on the multiple input powers, the multiple cooling and dehumidification demand operating hours, and the annual operating demand hours;

[0163] Obtaining the total annual power consumption of the chiller based on the annual on-power, the annual on-demand hours, the annual standby power, and the annual standby demand hours;

[0164] 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.

[0165] In one embodiment, the matching calculation module 403 is further configured to:

[0166] Obtaining an annual cooling capacity of the chiller based on the multiple cooling and dehumidification demand cooling capacities and the multiple cooling and dehumidification demand opening hours;

[0167] Based on the annual carbon footprint and the annual cooling capacity, the annual carbon efficiency of the chiller is obtained.

[0168] In one embodiment, the matching calculation module 403 is further configured to:

[0169] 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 of the entire life cycle is obtained;

[0170] The full life cycle carbon footprint of the chiller is obtained based on the carbon footprint of the operation stage in the full life cycle of the chiller and the carbon footprints of other stages in the full life cycle of the chiller.

[0171] In one embodiment, the matching calculation module 403 is further configured to:

[0172] 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;

[0173] Based on the full life cycle carbon footprint and the full life cycle cooling capacity, the full life cycle carbon efficiency of the chiller is obtained.

[0174] FIG5 is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. Figure 5 As 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 via 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:

[0175] Determining indoor cooling and dehumidification demand characteristics of the building based on the building's outdoor temperature and humidity conditions;

[0176] Determining the cooling characteristics of the chiller during operation based on the chiller's product performance curve;

[0177] 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.

[0178] In addition, the logical 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 sold or used as an independent product. Based on this understanding, the technical solution of the present application, or the part that contributes to the existing technology, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute 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 code.

[0179] On the other hand, embodiments of the present application further provide a computer program product, comprising a computer program. The computer program may be stored on a non-transitory computer-readable storage medium. 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 during operation provided in the above embodiments, for example, including:

[0180] Determining indoor cooling and dehumidification demand characteristics of the building based on the building's outdoor temperature and humidity conditions;

[0181] Determining the cooling characteristics of the chiller during operation based on the chiller's product performance curve;

[0182] 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.

[0183] On the other hand, an embodiment of the present application further provides a non-transitory computer-readable storage medium having a computer program stored thereon, wherein the computer program is configured to cause a processor to execute the steps of the method for calculating the carbon footprint of a chiller during operation provided in the above embodiments, for example, including:

[0184] Determining indoor cooling and dehumidification demand characteristics of the building based on the building's outdoor temperature and humidity conditions;

[0185] Determining the cooling characteristics of the chiller during operation based on the chiller's product performance curve;

[0186] 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.

[0187] 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 CDs, DVDs, BDs, HVDs, etc.), and semiconductor storage (such as ROMs, EPROMs, EEPROMs, non-volatile memories (NAND FLASH), solid-state drives (SSDs), etc.).

[0188] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one location or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0189] Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented using software plus a necessary general-purpose hardware platform, or of course, hardware. Based on this understanding, the essence of the above technical solution, or the portion that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, or an optical disk, and includes a number of instructions for causing a computer device (such as a personal computer, server, or network device) to execute the methods described in each embodiment or certain portions of the embodiments.

[0190] 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 them. 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: Determine the indoor cooling and dehumidification demand characteristics of the building based on the building's outdoor temperature and humidity conditions, including: Determining the annual required operating days and annual required operating hours of the chiller based on the time when a target condition is satisfied; the target condition being that the hourly outdoor temperature of the building is greater than the design limit of the indoor temperature of the building, or the hourly outdoor humidity of the building is greater than the design limit of the indoor humidity of the building; Based on the operating period of the building and the start-up pattern of the chiller, the annual start-up demand hours and the annual standby demand hours of the chiller on the annual demand operation days are filtered out from the annual demand operation hours; Dividing the target enthalpy value interval of the chiller within the annual start-up demand hours 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 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 subintervals and the multiple cooling and dehumidification demand cooling capacities, the annual operating demand hours of the chiller are divided to obtain multiple cooling and dehumidification demand operating hours of the chiller at multiple operating load rates; Based on the product performance curve of the chiller, the cooling characteristics of the chiller during the operation phase are determined, including: Based on a product performance curve of the chiller, obtaining an operating energy efficiency of the chiller based on the nominal cooling capacity at multiple operating load rates; Matching the indoor cooling and dehumidification demand characteristics 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 cooling capacities to obtain multiple input powers of the chiller at multiple operating load rates; Obtaining the annual operating power of the chiller based on the multiple input powers, the multiple cooling and dehumidification demand operating hours, and the annual operating demand hours; Obtaining the total annual power consumption of the chiller based on the annual on-power, the annual on-demand hours, the annual standby power, and the annual standby demand hours; 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.

2. The method for calculating the carbon footprint of a chiller during operation according to claim 1, characterized in that: After obtaining the annual carbon footprint of the chiller during the operation phase, it includes: Obtaining an annual cooling capacity of the chiller based on the multiple cooling and dehumidification demand cooling capacities and the multiple cooling and dehumidification demand opening hours; Based on the annual carbon footprint and the annual cooling capacity, the annual carbon efficiency of the chiller is obtained.

3. 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 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 of the entire life cycle is obtained; The full life cycle carbon footprint of the chiller is obtained based on the carbon footprint of the operation stage in the full life cycle of the chiller and the carbon footprints of other stages in the full life cycle of the chiller.

4. The method for calculating the carbon footprint of a chiller during operation according to claim 3, characterized in that: After obtaining the full life cycle carbon footprint of the chiller, 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 cooling capacity, the full life cycle carbon efficiency of the chiller is obtained.

5. A carbon footprint calculation device for a chiller during operation, characterized in that: The method for calculating the carbon footprint of a chiller during operation according to claim 1 comprises: 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 characteristics acquisition module is used to determine the cooling characteristics of the chiller during operation based on the chiller's product performance curve; 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.

6. 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 operation phase according to any one of claims 1 to 4 are implemented.

7. 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 according to any one of claims 1 to 4 are implemented.

Images