CN112990574A

CN112990574A - Assessment method and system based on building energy consumption flexible adjustment potential index

Info

Publication number: CN112990574A
Application number: CN202110272480.7A
Authority: CN
Inventors: 牛焕娜; 葛绪伍; 李宗晟; 段夏云; 井天军; 王江波
Original assignee: China Agricultural University
Current assignee: China Agricultural University
Priority date: 2021-03-12
Filing date: 2021-03-12
Publication date: 2021-06-18
Anticipated expiration: 2041-03-12
Also published as: CN112990574B

Abstract

The invention provides an evaluation method and system based on building energy consumption flexible adjustment potential indexes. Wherein, the method comprises the following steps: determining corresponding building energy utilization flexible adjustment potential indexes according to the target working condition types; the building energy consumption flexible adjustment potential index consists of a building body energy consumption model, an energy storage equipment adjustable capacity model and a building temperature control load adjustment potential model; and performing evaluation processing based on the building energy utilization flexible adjustment potential index, and determining a margin range evaluation result of the building flexible load participating in power grid peak-valley difference adjustment corresponding to the target scheduling period. By adopting the method for evaluating the flexible adjustment potential index based on the building energy consumption, the energy consumption characteristic of the building body and the capability of the temperature control flexible load in the building to participate in the regulation and control of the peak-valley difference of the power grid can be fully exerted, and the efficiency and the stability of the building energy consumption participating in the regulation and control of the side peak-valley difference of the power grid are effectively improved.

Description

Assessment method and system based on building energy consumption flexible adjustment potential index

Technical Field

The invention relates to the technical field of power demand side regulation, in particular to an evaluation method and system based on building energy consumption flexible regulation potential indexes. In addition, an electronic device and a non-transitory computer readable storage medium are also related.

Background

In recent years, with the rapid increase of the total social energy consumption, taking a terminal energy consumption represented by a building as an example, the building energy consumption is rapidly increased every year due to the increase of the number of buildings and the improvement of the requirement of users on comfort level; meanwhile, the power consumption ratio of the building temperature control load is also increased year by year, so that the seasonal peak load at the power grid end is rapidly increased, and a double-load peak is easily formed in summer and winter. In addition, the electricity utilization behaviors of users in the building energy to the temperature control load in one day in the peak load seasons of summer and winter tend to be consistent, and the peak-valley difference of the daily load curve of the power grid is further enlarged. How to fully exert the energy consumption characteristic of a building body and the capability of temperature control flexible loads in the building to participate in the peak-valley difference regulation of a power grid becomes a problem to be solved urgently. On the other hand, along with the deep research on the energy consumption of the building body and the rapid development of the flexible load regulation and control technology, the whole building participating in the regulation and control of the peak-valley difference of the power grid becomes possible. Therefore, the evaluation index of the flexible adjustment potential of the building energy consumption is analyzed, so that the adjustment margin range of the whole building responding to the power grid peak-valley difference adjustment and control in the future adjustment and control period is evaluated, and the evaluation method has important significance for matching with the power grid peak-valley difference adjustment and control and relieving the power grid capacity increase and modification.

However, at present, for the problem that building energy consumption participates in the regulation of the side peak-valley difference of the power grid, research for evaluating the building regulation potential by considering the energy consumption of a building body is relatively less, and a related technology for evaluating the building flexibility regulation potential index by comprehensively considering the characteristic relative humidity of the building body and the thermal disturbance of various personnel is lacked. In addition, the air conditioner and the electric heating isothermal control load occupy a large proportion in the energy load electricity consumption of the building, and under the existing load regulation technology, the method is the most direct and effective method for enabling the building energy to participate in the side peak-valley difference regulation of the power grid by controlling the electricity consumption behavior of the temperature control load under the condition of sacrificing the comfort level of a user. Therefore, how to evaluate the flexible regulation potential of the building energy consumption by taking the whole building energy consumption as an object and considering the energy consumption characteristic of the building body and the regulation potential of the internal temperature control flexible load becomes an important subject for researching participation of the building energy consumption in the regulation of the grid side peak-valley difference.

Disclosure of Invention

Therefore, the invention provides an evaluation method and system based on building energy consumption flexible regulation potential index, and aims to solve the problem that the energy consumption characteristic of a building body and the poor capability of temperature control flexible loads in a building to participate in power grid peak-valley difference regulation and control due to the fact that the related technology of the building flexible regulation potential evaluation index comprehensively considering the characteristic relative humidity of the building body and the thermal disturbance of various personnel is lacked in the prior art.

The invention provides an evaluation method for flexibly adjusting potential indexes based on building energy consumption, which comprises the following steps:

determining corresponding building energy utilization flexible adjustment potential indexes according to the target working condition types; the building energy consumption flexible adjustment potential index consists of a building body energy consumption model, an energy storage equipment adjustable capacity model and a building temperature control load adjustment potential model;

and performing evaluation processing based on the building energy utilization flexible adjustment potential index, and determining a margin range evaluation result of the building flexible load participating in power grid peak-valley difference adjustment corresponding to the target scheduling period.

Further, if the target working condition type is a heat supply working condition, the algorithm formula of the building temperature control load adjustment potential model corresponding to the building temperature control load in the target environment temperature range can reduce the heating capacity under the heat supply working condition comprises the following (1), (3), (5) and (7); the algorithm formula for increasing the heating capacity corresponding to the temperature control load of the building in the target environment temperature range comprises the following (2), (4), (6) and (8);

wherein the target ambient temperature range includes a low-temperature discomfort zone, a level II comfort zone, a level I comfort zone, and a high-temperature discomfort zone; the corresponding temperatures of the class I comfort zone and the class II comfort zone are between the low-temperature discomfort zone and the high-temperature discomfort zone; the temperature corresponding to the II-grade comfort zone is higher than the temperature corresponding to the I-grade comfort zone;

if T_0,t≤T_in,t≤T_II,down(low temperature uncomfortable area);

the formula of the algorithm for reducing the heating capacity of the building temperature control load is as follows:

the algorithm formula for increasing the heating capacity of the building temperature control load is as follows:

if T_II,down≤T_in,t≤T_II,up(class II comfort zone);

if T_I,down≤T_in,t≤T_I,up(class I comfort zone);

the formula of the algorithm that the building temperature control load can increase the heating capacity is as follows:

if T_in,t≥T_I,up(high temperature uncomfortable area);

in the formula: delta Q'_h,tThe user is shown to control the temperature control load to form a reduced heating capacity; delta Q ″)_h,tThe increased heating capacity formed by controlling the temperature control load by the user is shown; k is rho CV, and rho is the air density and has the unit of kg/m³1.29kg/m under standard conditions³(ii) a C is the specific heat capacity of air, J/(kg. deg.C) is 1X 10³J/(kg. ℃ C.); v is the indoor air capacity in m³Obtained by actual measurement and calculation; t is_in,tThe indoor temperature at the starting moment of the scheduling time interval is t, and the unit is;

the indoor temperature, which is expected by building energy, is a preset t scheduling time period and has the unit of ℃.

Further, if the target working condition type is a cooling working condition, the algorithm formula of the building temperature control load adjustment potential model for reducing the cooling capacity corresponding to the building temperature control load in the target environment temperature range under the cooling working condition comprises the following (9), (11), (13) and (15); the algorithm formula for increasing the refrigerating capacity of the building corresponding to the temperature control load of the target environment temperature range comprises the following steps (10), (12), (14) and (16);

if T_II,up≤T_in,t≤T_0,t(high temperature uncomfortable area);

the formula of the algorithm for reducing the refrigerating capacity of the building temperature control load is as follows:

the algorithm formula for increasing the refrigerating capacity of the building temperature control load is as follows:

if T_II,down≤T_in,t≤T_II,up(class II comfort zone);

if T_I,down≤T_in,t≤T_I,up(class I comfort zone);

the formula of the algorithm for increasing the refrigerating capacity of the building temperature control load is as follows:

if T_in,t≤T_I,down(low temperature uncomfortable area);

in the formula: delta Q'_c,tThe temperature control load is controlled by a user to form a temperature control load; delta Q ″)_c,tThe refrigerating capacity can be increased by controlling the temperature control load; k is rho CV, and rho is the air density and has the unit of kg/m³1.29kg/m under standard conditions³(ii) a C is the specific heat capacity of air, J/(kg. deg.C) is 1X 10³J/(kg. ℃ C.); v is the indoor air capacity in m³Obtained by actual measurement and calculation; t is_in,tThe indoor temperature at the starting moment of the scheduling time interval is t, and the unit is;

Further, if the target working condition type is a cooling working condition, the expression corresponding to the building body energy consumption model under the cooling working condition is (17):

Q_cl,t＝k_wallF_wall(T_0,t-T_in,t)+k_winF_win(T_0,t-T_in,t)+I_tF_winS_C+Q_in,t (17)

if the target working condition type is a heat supply working condition, the expression corresponding to the building body energy consumption model under the heat supply working condition is (18):

Q_hl,t＝k_wallF_wall(T_in,t-T_0,t)+k_winF_win(T_in,t-T_0,t)-I_tF_winS_C-Q_in,t (18)

in the formula: q_in,tFor the heat value of the heat source in the building room, the corresponding expression is (19):

Q_in,t＝C₁N₁F_room+C₂N₂F_room+(q_xrC_xr+q_qr)nβF_room (19)

in the formula: q_cl,tThe energy consumption of the building body is realized under the cold supply working condition; q_hl,tThe energy consumption of the building body is realized under the heat supply working condition; k is a radical of_wallF_wall(T_0,t-T_in,t) The whole represents the cold quantity, k, transmitted from the building wall to the outside_wallF_wall(T_in,t-T_0,t) The whole represents the heat transferred from the building wall to the outside, wherein k_wallThe heat transfer coefficient of the building wall is expressed by J/(m)²·℃)，F_wallIs the area of the building wall body, and the unit is m²Calculated by actual measurement, T_0,tScheduling time interval outdoor temperature for predicted T in deg.C_in,tThe indoor temperature at the starting moment of the scheduling time interval is measured in unit of DEG C; k is a radical of_winF_win(T_0,t-T_in,t) The whole represents the cold quantity, k, transmitted to the outside from the window of the building_winF_win(T_in,t-T_0,t) The whole represents the heat transferred from the window of the building to the outside, wherein k_winIs the heat transfer coefficient of the building window and has the unit of J/(m)²·℃)，F_winIs the area of the window of the building, and the unit is m²Obtained by actual measurement and calculation; i is_tF_winS_CThe whole represents the heat transferred by solar heat radiation to the interior of a building, wherein I_tIs the degree of solar radiation, S_CThe shading coefficient is obtained; q_in,tThe heat productivity of the heat source in the building room is J; c₁As a cold load factor of the lighting device, N₁For heat dissipation per unit area of the lighting device, F_roomIs the area of each room inside the building, C₂For the cold load coefficient of other indoor electric equipment, N₂Is the heat dissipation per unit area of the equipment, q_xr、q_qrRespectively the sensible heat and latent heat dissipation of the personnel, C_xrThe sensible heat and cold dissipation load coefficient is shown, n is the number of people per unit area, and beta is the clustering coefficient.

Further, the adjustability of the thermal energy storage device during the t scheduling period includes increasing energy and decreasing energy;

the increasable energy of the thermal energy storage device is defined as the difference between the upper energy storage limit of the thermal energy storage device and the stored energy, and the corresponding adjustable capacity model expression of the energy storage device is as follows (20):

the reducible energy of the thermal energy storage device is defined as the difference between the stored energy of the thermal energy storage device and the lower limit of the stored energy, and the corresponding adjustable capacity model expression of the energy storage device is as follows (21):

in the formula:

and

respectively increasing energy and reducing energy of the thermal energy storage device in the t scheduling time period; e_WSHmaxAnd E_WSHminRespectively an upper limit value and a lower limit value of the energy stored by the thermal energy storage equipment; e_WSH,tScheduling the stored energy of the thermal energy storage device at the starting moment of the time period t;

the adjustability of the cold energy storage device during the t-scheduling period includes increasing energy and decreasing energy;

the increasable energy of the cold energy storage device is defined as the difference between the upper energy storage limit of the cold energy storage device and the stored energy, and the corresponding adjustable capacity model expression of the energy storage device is as follows (22):

the reducible energy of the cold energy storage device is defined as the difference between the stored energy of the cold energy storage device and the lower limit of the stored energy, and the corresponding adjustable capacity model expression of the energy storage device is as follows (23):

in the formula:

and

increasing energy and reducing energy for the cold energy storage device in the t scheduling period; e_CSmaxAnd E_CSminRespectively storing energy for the cold energy storage equipment; e_CS,tThe stored energy of the cold energy storage device is scheduled for the start time of the period t.

Further, the building energy utilization flexibility adjustment potential index corresponds to the formulas (24) and (25):

in the formula: Δ W_tAn adjustable electric energy column vector of typical building energy consumption in a scheduling time period t is in a unit of kWh;

and

respectively scheduling a time interval t under a cold supply working condition to construct a building which can reduce electric energy and increase electric energy in a unit kWh;

and

the buildings at the scheduling time interval t under the heat supply working condition can reduce electric energy and increase the electric energy respectively, and the unit kWh is obtained; t is_coldAnd T_hotRespectively a cooling working condition and a heating working condition;

and

respectively, the energy can be reduced and increased in the scheduling time interval t building under the cold supply working condition, and the unit J is;

and

the buildings at the scheduling time t under the heat supply working condition can reduce energy and can increase energy respectively, and the unit J is a unit;

wherein, under the cold supply working condition, the energy of the building can be reduced

And can increase energy

Are respectively equations (26) and (27):

in the formula: q_cl,tScheduling the energy consumption of the building body in the time period t under the cooling working condition; delta Q'_c,tAnd Δ Q ″)_c,tThe refrigeration capacity can be reduced and the refrigeration capacity can be increased by the building temperature control load formed by the user sacrificing part of the comfort level in the scheduling time period t under the cold supply working condition;

and

the cold energy storage devices of the buildings at the starting moment of the scheduling time t can reduce the refrigerating capacity and increase the refrigerating capacity;

under the working condition of heat supply, the energy of the building can be reduced

And can increase energy

Are respectively equations (28) and (29):

in the formula: q_hl,tScheduling the energy consumption of the building body in the time period t under the working condition of winter heat supply; delta Q'_h,tAnd Δ Q ″)_h,tThe building temperature control load formed by the users sacrificing part of comfort level in the regulation time period t under the heat supply working condition can reduce the heat supply amount and increase the heat supply amount;

and

the heat storage equipment of the building at the starting moment of the scheduling time interval t can reduce the heat supply and increase the heat supply.

Further, the evaluation processing is performed based on the building energy utilization flexibility adjustment potential index, and a margin range evaluation result of the building flexibility load participating in power grid peak-valley difference adjustment corresponding to the target scheduling period is determined, specifically including:

acquiring original fixed parameter data and time-varying data which varies with a scheduling time period;

judging a target working condition type corresponding to a target scheduling time period, and determining a corresponding building body energy consumption model, an energy storage equipment adjustable capacity model and a building temperature control load adjustment potential model according to the target working condition type; respectively inputting the original fixed parameter data and the time-varying data into the corresponding building body energy consumption model, the energy storage equipment adjustable capacity model and the building temperature control load adjustment potential model to obtain building body energy consumption, building energy storage adjustment information and building temperature control load refrigeration or heating amount adjustment information corresponding to a target scheduling time period;

obtaining building energy consumption energy adjusting information corresponding to a target scheduling time period according to the building body energy consumption, the building energy storage adjusting information and the building temperature control load refrigeration or heating amount adjusting information;

and determining a margin range evaluation result of the building flexible load participating in the power grid peak-valley difference adjustment corresponding to the target scheduling period according to the building energy utilization energy adjustment information.

Correspondingly, the invention also provides an evaluation system realized based on the building energy utilization flexible adjustment potential index, which comprises the following steps:

the building energy use flexible adjustment potential index determining unit is used for determining a corresponding building energy use flexible adjustment potential index according to the target working condition type; the building energy consumption flexible adjustment potential index consists of a building body energy consumption model, an energy storage equipment adjustable capacity model and a building temperature control load adjustment potential model;

and the building energy utilization flexible adjustment evaluation processing unit is used for carrying out evaluation processing based on the building energy utilization flexible adjustment potential index and determining the evaluation result of the margin range of the building flexible load corresponding to the target scheduling period participating in the power grid peak-valley difference adjustment.

wherein the target ambient temperature range includes a low-temperature discomfort zone, a level II comfort zone, a level I comfort zone, and a high-temperature discomfort zone;

if T_0,t≤T_in,t≤T_II,down(low temperature uncomfortable area);

if T_II,down≤T_in,t≤T_II,up(class II comfort zone);

if T_I,down≤T_in,t≤T_I,up(class I comfort zone);

if T_in,t≥T_I,up(high temperature uncomfortable area);

if T_II,up≤T_in,t≤T_0,t(high temperature uncomfortable area);

if T_II,down≤T_in,t≤T_II,up(class II comfort zone);

if T_I,down≤T_in,t≤T_I,up(class I comfort zone);

if T_in,t≤T_,down(low temperature uncomfortable area);

Q_cl,t＝k_wallF_wall(T_0,t-T_in,t)+k_winF_win(T_0,t-T_in,t)+I_tF_winSC+Q_in,t (17)

Q_in,t＝C₁N₁F_room+C₂N₂F_room+(q_xrC_xr+q_qr)nβF_room (19)

in the formula: q_cl,tFor building bodies under cold-supply conditionsEnergy consumption; q_hl,tThe energy consumption of the building body is realized under the heat supply working condition; k is a radical of_wallF_wall(T_0,t-T_in,t) Wholly representing the cold quantity k transferred from the building wall to the outside_wallF_wall(T_in,t-T_0,t) The whole represents the heat transferred from the building wall to the outside, wherein k_wallThe heat transfer coefficient of the building wall is expressed by J/(m)²·℃)，F_wallIs the area of the building wall body, and the unit is m²Calculated by actual measurement, T_0,tScheduling time interval outdoor temperature for predicted T in deg.C_in,tThe indoor temperature at the starting moment of the scheduling time interval is measured in unit of DEG C; k is a radical of_winF_win(T_0,t-T_in,t) The whole represents the cold quantity, k, transmitted to the outside from the window of the building_winF_win(T_in,t-T_0,t) The whole represents the heat transferred from the window of the building to the outside, wherein k_winIs the heat transfer coefficient of the building window and has the unit of J/(m)²·℃)，F_winIs the area of the window of the building, and the unit is m²Obtained by actual measurement and calculation; i is_tF_winS_CThe whole represents the heat transferred by solar heat radiation to the interior of a building, wherein I_tIs the degree of solar radiation, S_CThe shading coefficient is obtained; q_in,tThe heat productivity of the heat source in the building room is J; c₁As a cold load factor of the lighting device, N₁For heat dissipation per unit area of the lighting device, F_roomIs the area of each room inside the building, C₂For the cold load coefficient of other indoor electric equipment, N₂Is the heat dissipation per unit area of the equipment, q_xr、q_qrRespectively the sensible heat and latent heat dissipation of the personnel, C_xrThe sensible heat and cold dissipation load coefficient is shown, n is the number of people per unit area, and beta is the clustering coefficient.

in the formula:

and

in the formula:

and

and

and

the buildings at the scheduling time interval t under the heat supply working condition can reduce electric energy and increase the electric energy respectively, and the unit kWh is obtained; t is_coldAnd T_hotRespectively for cooling and heatingThe conditions are as follows;

and

and

And can increase energy

Are respectively equations (26) and (27):

and

And can increase energy

Are respectively equations (28) and (29):

and

The invention also provides electronic equipment which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein when the processor executes the program, the evaluation method based on the building energy flexible adjustment potential index is realized.

The invention also provides a non-transitory computer-readable storage medium on which a computer program is stored, which, when executed by a processor, implements the method for assessing a building energy flexibility-based adjustment potential indicator as described in any one of the above.

By adopting the assessment method based on the building energy consumption flexible adjustment potential index, the energy consumption characteristic of the building body and the capability of temperature control flexible loads in the building to participate in the regulation and control of the peak-valley difference of the power grid can be fully exerted, and the efficiency and the stability of the building energy consumption participating in the regulation and control of the side peak-valley difference of the power grid are effectively improved.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.

Fig. 1 is a schematic flow chart of an evaluation method for flexibly adjusting a potential index based on building energy consumption according to an embodiment of the present invention;

FIG. 2 is a schematic view of a complete flow of an evaluation method for flexibly adjusting potential indexes based on building energy consumption according to an embodiment of the present invention;

FIG. 3 is a schematic diagram illustrating the division of an indoor temperature comfort zone under a cooling condition according to an embodiment of the present invention;

FIG. 4 is a schematic diagram illustrating the division of an indoor temperature comfort zone under a heating condition according to an embodiment of the present invention;

FIG. 5 is a schematic diagram of an evaluation system implemented based on building energy use flexibility adjustment potential indexes provided by an embodiment of the invention;

fig. 6 is a schematic physical structure diagram of an electronic device according to an embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

The following describes an embodiment of the evaluation method based on the building energy flexibility regulation potential index in detail. As shown in fig. 1, which is a schematic flow chart of an evaluation method based on building energy use flexibility adjustment potential index provided by an embodiment of the present invention, the specific process includes the following steps:

step 101: determining corresponding building energy utilization flexible adjustment potential indexes according to the target working condition types; the building energy consumption flexible adjustment potential index is composed of a building body energy consumption model, an energy storage equipment adjustable capacity model and a building temperature control load adjustment potential model.

In the embodiment of the invention, the building energy use flexible adjustment potential index under the cold supply working condition and the heat supply working condition is provided, and the building energy use flexible adjustment potential evaluation index of the building energy use in the next adjustment and control period, which is composed of the energy increasing and reducing, is established by combining the building body energy consumption model, the energy storage equipment adjustable capacity model (including the cold energy storage adjustable capacity model and the heat energy storage adjustable capacity model which are matched with the temperature control equipment) and the building temperature control load adjustment potential model formed by the user sacrificing part of comfort level.

Furthermore, in the embodiment of the invention, a calculation process of the flexible adjustment potential index of the building energy consumption is formulated to quantitatively evaluate the margin range of the building flexible load participating in the regional power grid peak-valley difference adjustment, so that a foundation is laid for the building flexible load participating in the power grid peak-valley difference adjustment. The calculation process of the building energy utilization flexible adjustment potential index specifically comprises the following contents:

specifically, the flexible adjustment potential index of the building energy consumption is defined as an adjustable margin range when the whole building as a flexible load participates in the regulation and control of the peak-valley difference of the power grid, and the flexible adjustment potential index of the building energy consumption is composed of the electric energy which can be reduced and the electric energy which can be increased in the next scheduling period. Therefore, the flexible adjustment potential evaluation indexes of the building energy under the cold supply working condition and the heat supply working condition are defined as follows:

in the formula: Δ W_tThe adjustable electric energy column vector of the typical building energy consumption in the t scheduling period is also a variable to be solved (namely a flexible adjustment potential evaluation result of the building energy consumption) of the invention, and the unit kWh;

and

the building can reduce the electric energy and increase the electric energy in a t dispatching time interval under the summer cooling working condition respectively, and the unit kWh is;

and

the building can reduce electric energy and increase electric energy in a t dispatching time interval under the working condition of winter heat supply respectively, and the unit kWh is; t is_coldAnd T_hotRespectively providing cold in summer and heat in winter;

and

respectively building energy-reducing and energy-increasing (namely building energy regulation information under the cooling working condition) in the t scheduling period under the cooling working condition in summer, and the unit J;

and

the energy can be reduced and increased for the building at the t scheduling period under the heating working condition in winter (namely the building energy regulation information under the heating working condition), and the unit J is respectively. It should be noted that, in the embodiment of the present invention, three parts are mainly considered as the determining factor of the flexible adjustment potential of the building energy: influences caused by the energy consumption characteristics of buildings, such as building enclosing structures such as building walls and windows, heat compensation or heat dissipation of the buildings by solar radiation, various indoor heat sources of the buildings and the like; influence of cold/heat energy storage used in cooperation with building temperature control equipment; and the influence of the temperature controlled load adjustment potential of the building created by the user's sacrifice of part comfort.

Under the working condition of cooling in summer, the energy of the building can be reduced

And can increase energy

Are respectively:

in the formula: q_cl,tBuilding body energy consumption in a t scheduling period under the summer cooling working condition; delta Q'_c,tAnd Δ Q ″)_c,tThe refrigeration capacity can be reduced and the refrigeration capacity can be increased (namely the building energy storage regulation information under the cooling working condition) by the building temperature control load formed by the user sacrificing part of comfort level respectively at the t scheduling time interval under the cooling working condition;

and

the temperature-controllable load regulation information is the building temperature-controllable load regulation information obtained by the building temperature-controllable load regulation potential model of the corresponding type of temperature comfort zone under the target working condition type under the cold supply working condition.

Under the working condition of winter heat supply, the energy of the building can be reduced

And can increase energy

Are respectively:

in the formula: q_hl,tBuilding body energy consumption is scheduled for a period t under the working condition of winter heat supply; delta Q'_h,tAnd Δ Q ″)_h,tThe building temperature control load formed by the users sacrificing part of comfort levels in the t dispatching time period under the heat supply working condition can reduce the heat supply amount and increase the heat supply amount (namely the building energy storage regulation information under the heat supply working condition);

and

and the heat storage equipment of the building at the starting moment of the t scheduling period respectively forms a heat supply quantity reducing and heat supply quantity increasing (namely building temperature control load heating quantity adjusting information obtained by a building temperature control load adjusting potential model of a corresponding type of temperature comfort zone under the target working condition type under the heat supply working condition).

The three models forming the building energy flexible adjustment potential index are respectively explained below.

And adjusting the potential model aiming at the temperature control load of the building. When building energy flexible adjustment evaluation is carried out, firstly, a user must be ensured to be adjusted under a comfortable temperature condition, a temperature comfortable interval of the user often has a range, and the invention utilizes the temperature range of the user to carry out demand side response. When the load of the power grid side is in the peak time period, the power grid side hopes that the user properly reduces the power consumption to cut down the power consumption peak, so that the user can properly sacrifice some comfort level and reduce the power consumption, thereby reducing the load of the power grid side in the peak time period; when the load of the power grid side is in the valley period, the power grid side hopes that the user appropriately increases the power consumption to fill the power consumption valley, so that the user can adjust the indoor temperature to the optimal temperature comfort interval, and the load of the power grid side in the valley period is increased. Therefore, a range limit for the ambient temperature at which the user is located must be given. For example, the standard parameters for determining the indoor comfort environment are shown in table 1.

TABLE 1 Standard parameters of indoor comfort Environment

As can be seen from table 1, the indoor comfortable environment parameters are classified into two types, i.e., heating condition and cooling condition. Wherein, indoor comfortable grade divide into the two-stage respectively under heat supply operating mode and cooling operating mode, under the heat supply operating mode, I level comfort level temperature is higher than II level temperature comfortable interval, under the cooling operating mode, I level comfort level temperature is less than II level temperature comfortable interval, under each comfortable grade, all has corresponding relative humidity scope and wind speed scope.

Because the design parameters of the indoor comfortable environment are divided into a heat supply working condition and a cold supply working condition, the building temperature control load regulation potential is developed respectively aiming at the two scenes of the cold supply working condition and the heat supply condition.

(1) Building temperature control load regulation potential under cold supply working condition

In the embodiment of the invention, in consideration of practical situations, the indoor temperature in summer is difficult to always be within the range of the grade I or II temperature comfort interval in the design specification, the temperature interval of which the indoor temperature is lower than the grade I temperature comfort interval is called as a low-temperature uncomfortable area, and the temperature interval of which the indoor temperature is higher than the grade II temperature comfort interval is called as a high-temperature uncomfortable area. Therefore, the indoor temperature comfort region in the cooling mode is divided as shown in fig. 3 below.

In each temperature range divided under the cold supply working condition, the building energy consumption can correspondingly increase the refrigerating capacity and reduce the refrigerating capacity. According to the above, the building can increase the cooling capacity and decrease the cooling capacity, which are composed of three parts, namely the building energy consumption in summer, namely, the aforementioned Q_cl,tThe cold energy storage equipment of the building can increase the refrigerating capacity and reduce the refrigerating capacity and useThe refrigerating capacity can be increased and decreased by controlling the temperature control load. Delta Q 'for the invention'_c,tIndicating a user's reduced cooling capacity by controlling the temperature-controlled load, by Δ Q ″)_c,tIndicating that the user has increased cooling capacity by controlling the temperature controlled load. The following describes the increase and decrease of the cooling capacity of the temperature-controlled load of the building in different temperature ranges, respectively.

Specifically, the algorithm formula of the building temperature control load adjustment potential model corresponding to the building temperature control load in the target environment temperature range for reducing the heating capacity includes the following (1), (3), (5) and (7); the algorithm formula for increasing the heating capacity of the building corresponding to the temperature control load of the target environment temperature range comprises the following (2), (4), (6) and (8). Wherein the target ambient temperature range includes a low temperature discomfort zone, a level II comfort zone, a level I comfort zone, and a high temperature discomfort zone. When the target working condition type is a heat supply working condition, the building temperature control load regulation potential model corresponding to the type temperature comfort zone comprises a building temperature control load regulation potential model corresponding to a level I temperature comfort zone, a building temperature control load regulation potential model corresponding to a level II temperature comfort zone, a building temperature control load regulation potential model corresponding to a low-temperature uncomfortablezone and a building temperature control load regulation potential model corresponding to a high-temperature uncomfortablezone under the heat supply working condition type.

If T_0,t≤T_in,t≤T_II,down(low temperature uncomfortable area);

if T_II,down≤T_in,t≤T_II,up(class II)Comfort zone);

if T_I,down≤T_in,t≤T_I,up(class I comfort zone);

if T_in,t≥T_I,up(high temperature uncomfortable area);

in the formula: delta Q'_h,tFor indicatingThe heating capacity can be reduced by controlling the temperature control load; delta Q ″)_h,tThe increased heating capacity formed by controlling the temperature control load by the user is shown; k is rho CV, and rho is the air density and has the unit of kg/m³1.29kg/m under standard conditions³(ii) a C is the specific heat capacity of air, J/(kg. deg.C) is 1X 10³J/(kg. ℃ C.); v is the indoor air capacity in m³Obtained by actual measurement and calculation; t is_in,tThe indoor temperature at the starting moment of the scheduling time interval is t, and the unit is;

The building temperature control load adjustment potential under the heating working condition is similar to that of the cooling condition, the temperature interval with the indoor temperature lower than the II-level comfortable temperature is called a low-temperature uncomfortable area, the interval with the indoor temperature higher than the I-level comfortable temperature is called a high-temperature uncomfortable area, and the obtained indoor temperature comfortable area under the heating working condition is divided into the following areas as shown in fig. 4.

Delta Q 'for the invention'_h,tIndicating a user's reduced heating capacity by controlling the temperature controlled load, by Δ Q ″_h,tIndicating that the user has increased heating capacity by controlling the temperature controlled load. The following describes the increase and decrease of heating capacity of the building temperature control load in different temperature ranges.

Specifically, the algorithm formula of the building temperature control load adjustment potential model corresponding to the building temperature control load within the target environment temperature range for reducing the cooling capacity includes the following (9), (11), (13) and (15); the algorithm formula for increasing the cooling capacity of the building corresponding to the temperature-controlled load of the target environment temperature range comprises the following steps (10), (12), (14) and (16). Wherein the target ambient temperature range includes a low temperature discomfort zone, a level II comfort zone, a level I comfort zone, and a high temperature discomfort zone. When the target working condition type is a cooling working condition, the building temperature control load regulation potential model corresponding to the type temperature comfort zone comprises a building temperature control load regulation potential model corresponding to a level I comfort zone, a building temperature control load regulation potential model corresponding to a level II comfort zone, a building temperature control load regulation potential model corresponding to a low-temperature uncomfortable zone and a building temperature control load regulation potential model corresponding to a high-temperature uncomfortable zone under the cooling working condition type.

If T_II,up≤T_in,t≤T_0,t(high temperature uncomfortable area);

if T_II,down≤T_in,t≤T_II,up(class II comfort zone);

if T_I,down≤T_in,t≤T_I,up(class I comfort zone);

if T_in,t≤T_I,down(low temperature uncomfortable area);

Aiming at the building body energy consumption model, under the working conditions of cooling in summer and heating in winter, the difference exists in the energy direction of the building flowing through the wall, the window and other ways due to the difference of the indoor and outdoor temperature of the building, so that the building body energy consumption model is respectively expanded and described under the working conditions of cooling in summer and heating in winter.

Aiming at the energy consumption of the building body under the summer cooling working conditionAnd (4) modeling. Under the working condition of cooling in summer, the building energy consumption is determined by the comprehensive influence of the lost cold of the external wall and the window of the building, the solar radiation heat supplement and the indoor heat source heat dissipation on the interior of the building, the expression corresponding to the building body energy consumption model is (17), namely the building body energy consumption Q at the moment_cl,tThe expression satisfied is (17):

Q_in,t＝C₁N₁F_room+C₂N₂F_room+(q_xrC_xr+q_qr)nβF_room (19)

in the formula: q_cl,tThe energy consumption of the building body is realized under the cold supply working condition; q_hl,tThe energy consumption of the building body is realized under the heat supply working condition; k is a radical of_wallF_wall(T_0,t-T_in,t) The whole represents the cold quantity, k, transmitted from the building wall to the outside_wallF_wall(T_in,t-T_0,t) The whole represents the heat transferred from the building wall to the outside, wherein k_wallThe heat transfer coefficient of the building wall is expressed by J/(m)²·℃)，F_wallIs the area of the building wall body, and the unit is m²Calculated by actual measurement, T_0,tScheduling time interval outdoor temperature for predicted T in deg.C_in,tThe indoor temperature at the starting moment of the scheduling period is measured in DEG CObtaining; k is a radical of_winF_win(T_0,t-T_in,t) The whole represents the cold quantity, k, transmitted to the outside from the window of the building_winF_win(T_in,t-T_0,t) The whole represents the heat transferred from the window of the building to the outside, wherein k_winIs the heat transfer coefficient of the building window and has the unit of J/(m)²·℃)，F_winIs the area of the window of the building, and the unit is m²Obtained by actual measurement and calculation; i is_tF_winS_CThe whole represents the heat transferred by solar heat radiation to the interior of a building, wherein I_tIs the degree of solar radiation, S_CThe shading coefficient is obtained; q_in,tThe heat productivity of the heat source in the building room is J; c₁As a cold load factor of the lighting device, N₁For heat dissipation per unit area of the lighting device, F_roomIs the area of each room inside the building, C₂For the cold load coefficient of other indoor electric equipment, N₂Is the heat dissipation per unit area of the equipment, q_xr、q_qrRespectively the sensible heat and latent heat dissipation of the personnel, C_xrThe sensible heat and cold dissipation load coefficient is shown, n is the number of people per unit area, and beta is the clustering coefficient.

The outdoor temperature is generally referred to as the temperature reported by the weather forecast, i.e., the dry bulb temperature of the environment. However, factors such as relative humidity and wind speed also have certain influence on the sensible temperature of the human body, for example, the relative humidity exceeds the comfortable relative humidity range of people, the human body can feel damp and hot, and the sensible temperature of the human body cannot be truly reflected only by the dry-bulb temperature of the environment, so for the accuracy of calculation, Q is defined_cl,tOutdoor temperature T used in_0,tTo take account of the outdoor temperature after the relative humidity. Outdoor temperature T after taking relative humidity into account_0,tThe calculation formula of (a) is as follows:

T_0,t＝-42.379+2.04901523T+10.14333127RH-0.22475541TRH-6.83783*10^-3T²-5.481717*10^-2RH²+1.22874*10^-3T²RH+8.5282*10^-4TRH²-1.99*10^-6T²RH²

in the formula: t is the dry bulb temperature of the environment and can be obtained through weather forecast; RH is the relative humidity in percent, which can be obtained from weather forecasts.

Similar to the building body energy consumption model under the summer cooling working condition, under the winter heating working condition, the building energy consumption is determined by the comprehensive influence of the heat dissipated from the outer wall and the window of the building, the solar radiation heat compensation and the indoor heat source heat dissipation on the interior of the building, and at the moment, the building body energy consumption Q is_hl,tThe expression satisfied is (18).

The model for the adjustable capability of the energy storage device includes the adjustable capability of the cold energy storage device and the adjustable capability of the hot energy storage device.

Under the cold supply working condition, the air-conditioning refrigeration equipment is usually matched with cold energy storage equipment (such as ice cold accumulation) for use, partial cold energy is stored in the electricity price valley period, and the cold energy is provided for the building in the electricity price peak period or under the condition that the building needs the cold energy, so that the aim of minimizing the refrigeration cost of a user is fulfilled. The adjustable capacity of the matched cold energy storage device in the t scheduling period comprises energy increase and energy decrease; the increasable energy of the cold energy storage device is defined as the difference between the upper energy storage limit of the cold energy storage device and the stored energy, and the corresponding adjustable capacity model expression of the energy storage device is as follows (22):

in the formula:

and

increasing energy and reducing energy for the cold energy storage device in the t scheduling period; e_CSmaxAnd E_CSminRespectively storing energy for the cold energy storage equipment; e_CS,tThe stored energy of the cold energy storage device is scheduled for a time period t.

Similar to cold energy storage devices, under the working condition of heat supply, when redundant heat exists in the building, the heat energy storage devices (such as a heat storage water tank, phase change heat storage and the like) can be used for temporarily storing the heat energy storage devices, and then the heat energy storage devices are released when needed. The adjustability of the thermal energy storage device during the t-dispatch period includes an increased energy defined as the difference between the upper stored energy limit and the stored energy limit of the thermal energy storage device and a decreased energy defined as the difference between the stored energy limit and the lower stored energy limit of the thermal energy storage device. The expression is as follows:

in the formula:

and

increasing energy and decreasing energy for the thermal energy storage device during the t scheduling period; e_WSHmaxAnd E_WSHminRespectively an upper limit value and a lower limit value of the energy stored by the thermal energy storage equipment; e_WSH,tThe stored energy of the thermal energy storage device is scheduled for a time period t.

Step 102: and performing evaluation processing based on the building energy utilization flexible adjustment potential index, and determining a margin range evaluation result of the building flexible load participating in power grid peak-valley difference adjustment corresponding to the target scheduling period.

Specifically, as shown in FIG. 2, the evaluation method comprises the following steps: (1) original fixed parameter data is obtained. The original fixed parameter data comprises building envelope fixed parameters such as building walls and window envelopes, in-building heat conduction fixed parameters such as indoor air density, specific heat capacity and various thermal coefficients, and building energy storage equipment fixed parameters such as energy storage upper and lower limit values of building cold energy storage and heat energy storage equipment. (2) The time-varying data that is input as a function of the scheduling period is acquired. The time-varying data includes: the stored energy of cold and hot energy storage, the stored energy of hot energy storage and the indoor temperature T at the current moment (namely the starting moment of the T scheduling period)_in,tWaiting for target measurement data; environment prediction data such as outdoor temperature, humidity and solar radiation degree of the building at the t scheduling time period obtained by weather forecast; and indoor temperature data expected by building energy consumption in preset t scheduling time period

And (3) judging whether the target working condition type corresponding to the target scheduling time interval (such as the current scheduling time interval) is a cooling working condition or a heating working condition, if the target working condition type is the cooling working condition, performing the next step (4), and if the target working condition type is the heating working condition, skipping to the step (5). (4) If the scheduling time interval corresponds to the cooling working condition, the energy consumption of the building body in the t scheduling time interval is obtained through the building body energy consumption model under the cooling working condition; the building cold energy storage adjustable capacity in the t scheduling period is obtained through the cold energy storage equipment adjustable capacity model; and according to the expected indoor temperature of building energy consumption in the preset t scheduling time period

Various temperature comfort areas such as high temperature/II level/I level/low temperature and the like under the cold supply working condition and the indoor temperature T at the current moment_in,tSubstituting the comfortable temperature areas with high temperature/II level/I level/low temperature and the like into the temperature control adjustment potential model of the corresponding comfortable area under the corresponding cooling working condition to obtain the temperature control load refrigerating capacity adjustment information of the building at the t dispatching time period (the temperature control load of the building can be increased and the refrigerating capacity can be reduced); and summing the three parts to obtain the building with the increased and reduced energy in the t dispatching time interval under the cold supply working condition, and then jumping to the step (6). (5) If the scheduling period isIf the building body energy consumption model is a heat supply working condition, the building body energy consumption in the t scheduling time period is obtained through the building body energy consumption model under the heat supply working condition; the building thermal energy storage adjustable capacity in the t scheduling period is obtained through the thermal energy storage equipment adjustable capacity model; and according to the expected indoor temperature of building energy consumption in the preset t scheduling time period

Various temperature comfort areas such as high temperature/I level/II level/low temperature and the like under the heat supply working condition and the indoor temperature T at the current moment_in,tSubstituting the comfortable temperature areas with high temperature/I level/II level/low temperature and the like into the temperature control adjustment potential model of the corresponding type of temperature comfort area under the corresponding heat supply working condition to obtain the temperature control load heating amount adjustment information of the building at the t dispatching time period (the temperature control load of the building can be increased and the refrigerating capacity can be reduced); and then the three parts are summed to obtain the building with the increased and reduced energy in the t dispatching time interval under the heat supply working condition. (6) The method comprises the steps of obtaining an adjusting electric energy column vector delta W of building energy consumption in the t scheduling period through building increasing and energy reducing in the t scheduling period under the cold supply working condition or building increasing and energy reducing in the t scheduling period under the heat supply working condition, namely adjusting electric energy information of the building energy consumption corresponding to the scheduling period_tTherefore, the evaluation of the margin range of the building flexible load participating in the power grid peak-valley difference regulation in the next regulation and control period (t scheduling period) is completed, and a corresponding evaluation result of the building energy utilization flexible regulation potential is determined.

Corresponding to the assessment method based on the building energy consumption flexible adjustment potential index, the invention also provides an assessment system based on the building energy consumption flexible adjustment potential index. Because the embodiment of the system is similar to the method embodiment, the description is simple, and the related points can be referred to the description of the method embodiment, and the embodiment of the evaluation system based on the building energy flexibility adjustment potential index implementation described below is only illustrative. Fig. 5 is a schematic structural diagram of an evaluation system implemented based on a building energy flexibility adjustment potential index according to an embodiment of the present invention. The invention relates to an evaluation system realized based on building energy utilization flexible regulation potential indexes, which specifically comprises the following parts:

the building energy use flexible adjustment potential index determining unit 501 is used for determining a corresponding building energy use flexible adjustment potential index according to the target working condition type; the building energy consumption flexible adjustment potential index consists of a building body energy consumption model, an energy storage equipment adjustable capacity model and a building temperature control load adjustment potential model;

the building energy utilization flexible adjustment evaluation processing unit 502 is configured to perform evaluation processing based on the building energy utilization flexible adjustment potential index, and determine a margin range evaluation result of the building flexible load participating in power grid peak-valley difference adjustment corresponding to a target scheduling period.

By adopting the evaluation system realized based on the building energy consumption flexible regulation potential index, the energy consumption characteristic of the building body and the capability of temperature control flexible loads in the building to participate in the regulation and control of the peak-valley difference of the power grid can be fully exerted, and the efficiency and the stability of the building energy consumption participating in the regulation and control of the side peak-valley difference of the power grid are effectively improved.

Corresponding to the assessment method based on the building energy consumption flexible adjustment potential index, the invention also provides electronic equipment. Since the embodiment of the electronic device is similar to the above method embodiment, the description is simple, and please refer to the description of the above method embodiment, and the electronic device described below is only schematic. Fig. 6 is a schematic physical structure diagram of an electronic device according to an embodiment of the present invention. The electronic device may include: a processor (processor)601, a memory (memory)602, and a communication bus 603, wherein the processor 601 and the memory 602 communicate with each other through the communication bus 603. The processor 601 may invoke logic instructions in the memory 602 to perform a method of assessing a flexible adjustment potential indicator based on building energy usage, the method comprising: determining corresponding building energy utilization flexible adjustment potential indexes according to the target working condition types; the building energy consumption flexible adjustment potential index consists of a building body energy consumption model, an energy storage equipment adjustable capacity model and a building temperature control load adjustment potential model; and performing evaluation processing based on the building energy utilization flexible adjustment potential index, and determining a margin range evaluation result of the building flexible load participating in power grid peak-valley difference adjustment corresponding to the target scheduling period.

Furthermore, the logic instructions in the memory 602 may be implemented in software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.

In another aspect, an embodiment of the present invention further provides a computer program product, where the computer program product includes a computer program stored on a non-transitory computer-readable storage medium, the computer program includes program instructions, and when the program instructions are executed by a computer, the computer can execute the method for estimating the building energy flexibility adjustment potential indicator based on building energy flexibility provided by the above-mentioned method embodiments, where the method includes: determining corresponding building energy utilization flexible adjustment potential indexes according to the target working condition types; the building energy consumption flexible adjustment potential index consists of a building body energy consumption model, an energy storage equipment adjustable capacity model and a building temperature control load adjustment potential model; and performing evaluation processing based on the building energy utilization flexible adjustment potential index, and determining a margin range evaluation result of the building flexible load participating in power grid peak-valley difference adjustment corresponding to the target scheduling period.

In another aspect, an embodiment of the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program is implemented by a processor to perform the method for estimating a flexible building energy based adjustment potential indicator provided in the above embodiments, the method includes: determining corresponding building energy utilization flexible adjustment potential indexes according to the target working condition types; the building energy consumption flexible adjustment potential index consists of a building body energy consumption model, an energy storage equipment adjustable capacity model and a building temperature control load adjustment potential model; and performing evaluation processing based on the building energy utilization flexible adjustment potential index, and determining a margin range evaluation result of the building flexible load participating in power grid peak-valley difference adjustment corresponding to the target scheduling period.

The above-described system embodiments are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.

Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.

Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims

1. An assessment method for flexibly adjusting potential indexes based on building energy consumption is characterized by comprising the following steps:

2. The building energy use flexibility regulation potential index-based assessment method according to claim 1, wherein if the target working condition type is a heat supply working condition, the algorithm formula of the building temperature control load regulation potential model for reducing the heating capacity of the building temperature control load in the target environment temperature range under the heat supply working condition comprises the following (1), (3), (5) and (7); the algorithm formula for increasing the heating capacity corresponding to the temperature control load of the building in the target environment temperature range comprises the following (2), (4), (6) and (8);

if T_0,t≤T_in,t≤T_II,down(low temperature uncomfortable area);

if T_II,down≤T_in,t≤T_II,up(class II comfort zone);

if T_I,down≤T_in,t≤T_I,up(class I comfort zone);

if T_in,t≥T_I,up(high temperature uncomfortable area);

3. The building energy use flexibility regulation potential index-based assessment method according to claim 1, wherein if the target working condition type is a cooling working condition, the algorithm formula of the building temperature control load regulation potential model for reducing the cooling capacity of the building temperature control load corresponding to the target environmental temperature range under the cooling working condition comprises the following (9), (11), (13) and (15); the algorithm formula for increasing the refrigerating capacity of the building corresponding to the temperature control load of the target environment temperature range comprises the following steps (10), (12), (14) and (16);

if T_II,up≤T_in,t≤T_0,t(high temperature uncomfortable area);

if T_II,down≤T_in,t≤T_II,up(class II comfort zone);

if T_I,down≤T_in,t≤T_I,up(class I comfort zone);

if T_in,t≤T_I,down(low temperature uncomfortable area);

4. The building energy consumption flexibility regulation potential index-based assessment method according to claim 1, wherein if the target working condition type is a cooling working condition, the expression corresponding to the building body energy consumption model under the cooling working condition is (17):

Q_in,t＝C₁N₁F_room+C₂N₂F_room+(q_xrC_xr+q_qr)nβF_room (19)

in the formula: q_cl,tThe energy consumption of the building body is realized under the cold supply working condition; q_hl,tThe energy consumption of the building body is realized under the heat supply working condition; k is a radical of_wallF_wall(T_0,t-T_in,t) The whole represents the cold quantity, k, transmitted from the building wall to the outside_wallF_wall(T_in,t-T_0,t) The whole represents the heat transferred from the building wall to the outside, wherein k_wallThe heat transfer coefficient of a building wall is expressed by the unit of J/square meter per DEG C, F_wallIs the area of the building wall body, and the unit is m²Calculated by actual measurement, T_0,tScheduling time interval outdoor temperature for predicted T in deg.C_in,tThe indoor temperature at the starting moment of the scheduling time interval is measured in unit of DEG C; k is a radical of_winF_win(T_0,t-T_in,t) The whole represents the cold quantity, k, transmitted to the outside from the window of the building_winF_win(T_in,t-T_0,t) The whole represents the heat transferred from the window of the building to the outside, wherein k_winThe heat transfer coefficient of a building window is expressed by the unit of J/((square meter. DEG C.)) F_winIs the area of the window of the building, and the unit is m²Obtained by actual measurement and calculation; i is_tF_winS_CThe whole represents the heat transferred by solar heat radiation to the interior of a building, wherein I_tIs the degree of solar radiation, S_CThe shading coefficient is obtained; q_in,tThe heat productivity of the heat source in the building room is J; c₁As a cold load factor of the lighting device, N₁For heat dissipation per unit area of the lighting device, F_roomIs the area of each room inside the building, C₂For the cold load coefficient of other indoor electric equipment, N₂Is the heat dissipation per unit area of the equipment, q_xr、q_qrRespectively the sensible heat and latent heat dissipation of the personnel, C_xrThe sensible heat and cold dissipation load coefficient is shown, n is the number of people per unit area, and beta is the clustering coefficient.

5. The building energy use flexibility adjustment potential indicator-based assessment method according to claim 1, wherein the adjustability of the thermal energy storage device during the t scheduling period comprises increased energy and decreased energy;

in the formula:

and

in the formula:

and

6. The building energy flexible adjustment potential index-based assessment method according to claim 1, wherein the building energy flexible adjustment potential index corresponds to the formulas (24) and (25):

and

and

and

and

And can increase energy

Are respectively equations (26) and (27):

and

And can increase energy

Are respectively equations (28) and (29):

and

7. The building energy utilization flexibility regulation potential index-based assessment method according to claim 1, wherein the assessment processing is performed based on the building energy utilization flexibility regulation potential index, and a result of assessing a margin range of a building flexibility load corresponding to a target scheduling period participating in power grid peak-valley difference regulation is determined, specifically comprising:

8. An evaluation system based on building energy flexible adjustment potential index realization, characterized by comprising:

9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program performs the steps of the method for building energy flexibility based adjustment of an assessment of a potential measure as claimed in any one of claims 1 to 7.

10. A non-transitory computer readable storage medium having stored thereon a computer program, wherein the computer program when executed by a processor implements the steps of the method for building energy flexibility based assessment of potential indicators according to any of claims 1-7.