CN104864560A - Air conditioner electricity consumption pre-estimating method in office building - Google Patents
Air conditioner electricity consumption pre-estimating method in office building Download PDFInfo
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Abstract
An air conditioner electricity consumption pre-estimating method in an office building relates to the energy-saving technical field and aims to solve the technical problem of reducing energy waste and saving electricity consumption cost. The method is that an air conditioner load curve, an indoor temperature curve and an outdoor temperature curve of the most three recent years in the office building are firstly acquired; secondly, according to the active power, the air conditioner rated power, the indoor temperature, an air conditioner preference temperature in the building and the number of people in the building, all continuous curve sections that meet three conditions are found out from the air conditioner load curve; thirdly, the fixed load value, the temperature coefficient, the load value of per capital of the whole minute point, the load coefficient of per capital are calculated according to those curve sections; and finally, the air conditioner electricity consumption load pre-estimating value is calculated. Thus, the method provided herein is suitable for air conditioners in office buildings.
Description
Technical field
The present invention relates to power-saving technology, particularly relate to a kind of technology of office building air conditioning electricity predictor method.
Background technology
In order to make full use of the green energy resource such as wind energy, solar energy, the non-renewable energy resources such as few thermoelectricity as much as possible, the power supply of every day is divided into three periods according to electricity consumption situation by power system, be respectively electrical network peak period, electrical network section, the electric-net valley period at ordinary times, in the electrical network peak period (such as 9 o'clock to 17 o'clock) that power supply requirement is higher, green energy resource proportion is lower, in the electrical network section at ordinary times that power supply requirement is relatively slightly low, then green energy resource proportion is then corresponding slightly high, and in power supply requirement minimum electric-net valley period, green energy resource proportion also reaches the highest.In order to encourage enterprise to utilize green energy resource, the electricity price of different power supply period is also different, and peak valley ordinary telegram valency is as one of electric energy measures to regulate rush-hour traffic, effectively can suppress peak value, improve peak-valley difference, avoid power consumption equipment capacity investment waste, also effectively make use of green energy resource simultaneously.
Office building air-conditioning is energy consumption rich and influential family, takes airconditioning control measure in advance, just can participate in the flat measures to regulate rush-hour traffic of electrical network peak valley, can cut operating costs, reduce requirement expense expenditure, the method of operation of all right elaborate scheme air-conditioning, reduces energy waste, saves electric cost.But also there is no effective method for taking airconditioning control measure in advance.
Summary of the invention
For the defect existed in above-mentioned prior art, technical problem to be solved by this invention is to provide one can reduce energy waste, saves the office building air conditioning electricity predictor method of electric cost.
In order to solve the problems of the technologies described above, a kind of office building air conditioning electricity predictor method provided by the present invention, it is characterized in that, concrete steps are as follows:
1) office building is obtained at air conditioner load curve, indoor temperature curve, the outdoor temperature curve of nearest 3 years;
2) according to indoor temperature curve, the outdoor temperature curve of nearest 3 years, the air conditioner load curve of nearest 3 years is searched all full curve sections of the A that satisfies condition, condition B, condition C;
Condition A: active power is greater than the S0 of air-conditioning rated power, and the variable quantity of active power is less than the K0 of air-conditioning rated power, and the difference of indoor temperature and outdoor temperature is less than W0, and the difference of indoor temperature and building air conditioning preferred temperature is less than W0, and the duration of this full curve section is greater than T0, and in building, personnel's number is less than the K0 of building setting personnel number;
Condition B: active power is greater than the S1 of air-conditioning rated power, and the variable quantity of active power is less than the K1 of air-conditioning rated power, and the difference of indoor temperature and building air conditioning preferred temperature is less than W0, and indoor temperature is less than outdoor temperature W1 degree, and the duration of this full curve section is greater than T1, and in building, personnel's number is less than the K1 of building setting personnel number;
Condition C: active power is greater than the S2 of air-conditioning rated power, and the variable quantity of active power is less than the K1 of air-conditioning rated power, and the difference of indoor temperature and building air conditioning preferred temperature is less than W0, and indoor temperature is less than outdoor temperature W2 degree, and the duration of this full curve section is greater than T2, and in building, personnel's number is greater than the K2 of building setting personnel number;
Wherein, the representative value of S0 is 30%, the representative value of the representative value of S1 to be the representative value of 50%, S2 be 80%, W0 is 1 degree Celsius, the representative value of W1 and W2 is 4 degrees Celsius, the representative value of T0 is 4 hours, and the representative value of T1 and T2 is 4 hours, and the representative value of K0 and K1 is 5%, the representative value of K2 is 60%, and the representative value in summer of building air conditioning preferred temperature is 26 degrees Celsius;
3) according to all full curve sections of the A that satisfies condition, calculate firm demand value, specific formula for calculation is:
P0＝E0/D0
Wherein, P0 is firm demand value, and E0 is the meritorious integration of all full curve sections of A of satisfying condition, and D0 is the total duration of all full curve sections of A of satisfying condition;
4) according to all full curve sections of the B that satisfies condition, calculate temperature coefficient, specific formula for calculation is:
a1＝(E1－P0×D1)/D1/H1
H1＝∑△Tb/60/D1
Wherein, a1 is temperature coefficient, E1 is the meritorious integration of all full curve sections of B of satisfying condition, D1 is the total duration of all full curve sections of B of satisfying condition, H1 is the indoor/outdoor temperature-difference hourly average value of all full curve sections of B of satisfying condition, and ∑ △ Tb is the summation of indoor and outdoor temperature difference per minute of all full curve sections of B of satisfying condition;
5) to all full curve sections of the C that satisfies condition, calculate each whole point of hour per capita environment loads value, specific formula for calculation is:
A2[i]＝(Px[i]－a1×△Tc[i]－P0)/m[i]
Wherein, i-th whole point hour per capita environment loads value in all full curve sections that A2 [i] is the C that satisfies condition, the burden with power at i-th whole point of hour in all full curve sections that Px [i] is the C that satisfies condition, the indoor and outdoor temperature at i-th whole point of hour in all full curve sections that △ Tc [i] is the C that satisfies condition is poor, personnel's number in the building at i-th whole point of hour in all full curve sections that m [i] is the C that satisfies condition;
6) according to all full curve sections of the C that satisfies condition, calculate per capita environment loads coefficient, specific formula for calculation is:
a2＝∑△A2/n
Wherein, a2 is load coefficient per capita, and ∑ △ A2 is the summation of the whole point of hour per capita environment loads value satisfied condition in all full curve sections of C, and n is the number of the whole point of hour per capita environment loads value satisfied condition in all full curve sections of C;
7) calculate the discreet value of air conditioning electricity load, specific formula for calculation is:
P＝P0+a1×△T+a2×m
Wherein, P is the discreet value of air conditioning electricity load, and △ T is the current indoor/outdoor temperature-difference of office building, and m is personnel's number in current building.
Office building air conditioning electricity predictor method provided by the invention, according to air conditioner load curve, temperature curve, building air conditioning preferred temperature, the interior personnel's number of building of history, calculate the discreet value of air conditioning electricity load, can the method for operation of elaborate scheme air-conditioning by this discreet value, reduce energy waste, save electric cost.
Accompanying drawing explanation
Fig. 1 is the calculation flow chart of the office building air conditioning electricity predictor method of the embodiment of the present invention.
Detailed description of the invention
Illustrate below in conjunction with accompanying drawing and embodiments of the invention are described in further detail; but the present embodiment is not limited to the present invention; every employing analog structure of the present invention and similar change thereof, all should list protection scope of the present invention in, the pause mark in the present invention all represent and relation.
As shown in Figure 1, a kind of office building air conditioning electricity predictor method that the embodiment of the present invention provides, it is characterized in that, concrete steps are as follows:
1) office building is obtained at air conditioner load curve, indoor temperature curve, the outdoor temperature curve of nearest 3 years;
2) according to indoor temperature curve, the outdoor temperature curve of nearest 3 years, the air conditioner load curve of nearest 3 years is searched all full curve sections of the A that satisfies condition, condition B, condition C;
Condition A: active power is greater than the S0 of air-conditioning rated power, and the variable quantity of active power is less than the K0 of air-conditioning rated power, and the difference of indoor temperature and outdoor temperature is less than W0, and the difference of indoor temperature and building air conditioning preferred temperature is less than W0, and the duration of this full curve section is greater than T0, and in building, personnel's number is less than the K0 of building setting personnel number;
Condition B: active power is greater than the S1 of air-conditioning rated power, and the variable quantity of active power is less than the K1 of air-conditioning rated power, and the difference of indoor temperature and building air conditioning preferred temperature is less than W0, and indoor temperature is less than outdoor temperature W1 degree, and the duration of this full curve section is greater than T1, and in building, personnel's number is less than the K1 of building setting personnel number;
Condition C: active power is greater than the S2 of air-conditioning rated power, and the variable quantity of active power is less than the K1 of air-conditioning rated power, and the difference of indoor temperature and building air conditioning preferred temperature is less than W0, and indoor temperature is less than outdoor temperature W2 degree, and the duration of this full curve section is greater than T2, and in building, personnel's number is greater than the K2 of building setting personnel number;
Wherein, the representative value of S0 is 30%, the representative value of the representative value of S1 to be the representative value of 50%, S2 be 80%, W0 is 1 degree Celsius, the representative value of W1 and W2 is 4 degrees Celsius, the representative value of T0 is 4 hours, and the representative value of T1 and T2 is 4 hours, and the representative value of K0 and K1 is 5%, the representative value of K2 is 60%, and the representative value in summer of building air conditioning preferred temperature is 26 degrees Celsius;
Wherein, in air-conditioner temperature load curve, building setting personnel number, building air conditioning preferred temperature, building, personnel's number all can obtain from existing building Property Management System;
3) according to all full curve sections of the A that satisfies condition, calculate firm demand value, specific formula for calculation is:
P0＝E0/D0
Wherein, P0 is firm demand value, and E0 is the meritorious integration of all full curve sections of A of satisfying condition, and D0 is the total duration of all full curve sections of A of satisfying condition;
4) according to all full curve sections of the B that satisfies condition, calculate temperature coefficient, specific formula for calculation is:
a1＝(E1－P0×D1)/D1/H1
H1＝∑△Tb/60/D1
Wherein, a1 is temperature coefficient, E1 is the meritorious integration of all full curve sections of B of satisfying condition, D1 is the total duration of all full curve sections of B of satisfying condition, H1 is the indoor/outdoor temperature-difference hourly average value of all full curve sections of B of satisfying condition, and ∑ △ Tb is the summation of indoor and outdoor temperature difference per minute of all full curve sections of B of satisfying condition;
5) to all full curve sections of the C that satisfies condition, calculate each whole point of hour per capita environment loads value, specific formula for calculation is:
A2[i]＝(Px[i]－a1×△Tc[i]－P0)/m[i]
Wherein, i-th whole point hour per capita environment loads value in all full curve sections that A2 [i] is the C that satisfies condition, the burden with power at i-th whole point of hour in all full curve sections that Px [i] is the C that satisfies condition, the indoor and outdoor temperature at i-th whole point of hour in all full curve sections that △ Tc [i] is the C that satisfies condition is poor, personnel's number in the building at i-th whole point of hour in all full curve sections that m [i] is the C that satisfies condition;
6) according to all full curve sections of the C that satisfies condition, calculate per capita environment loads coefficient, specific formula for calculation is:
a2＝∑△A2/n
Wherein, a2 is load coefficient per capita, ∑ △ A2 is the summation (i.e. the summation of A2 [i]) of the whole point of hour per capita environment loads value satisfied condition in all full curve sections of C, and n is the number (i.e. the quantity of A2 [i]) of the whole point of hour per capita environment loads value satisfied condition in all full curve sections of C;
7) calculate the discreet value of air conditioning electricity load, specific formula for calculation is:
P＝P0+a1×△T+a2×m
Wherein, P is the discreet value of air conditioning electricity load, and △ T is the current indoor/outdoor temperature-difference of office building, and m is personnel's number in current building.
Claims (1)
1. an office building air conditioning electricity predictor method, is characterized in that, concrete steps are as follows:
1) office building is obtained at air conditioner load curve, indoor temperature curve, the outdoor temperature curve of nearest 3 years;
2) according to indoor temperature curve, the outdoor temperature curve of nearest 3 years, the air conditioner load curve of nearest 3 years is searched all full curve sections of the A that satisfies condition, condition B, condition C;
Condition A: active power is greater than the S0 of air-conditioning rated power, and the variable quantity of active power is less than the K0 of air-conditioning rated power, and the difference of indoor temperature and outdoor temperature is less than W0, and the difference of indoor temperature and building air conditioning preferred temperature is less than W0, and the duration of this full curve section is greater than T0, and in building, personnel's number is less than the K0 of building setting personnel number;
Condition B: active power is greater than the S1 of air-conditioning rated power, and the variable quantity of active power is less than the K1 of air-conditioning rated power, and the difference of indoor temperature and building air conditioning preferred temperature is less than W0, and indoor temperature is less than outdoor temperature W1 degree, and the duration of this full curve section is greater than T1, and in building, personnel's number is less than the K1 of building setting personnel number;
Condition C: active power is greater than the S2 of air-conditioning rated power, and the variable quantity of active power is less than the K1 of air-conditioning rated power, and the difference of indoor temperature and building air conditioning preferred temperature is less than W0, and indoor temperature is less than outdoor temperature W2 degree, and the duration of this full curve section is greater than T2, and in building, personnel's number is greater than the K2 of building setting personnel number;
Wherein, the representative value of S0 is 30%, the representative value of the representative value of S1 to be the representative value of 50%, S2 be 80%, W0 is 1 degree Celsius, the representative value of W1 and W2 is 4 degrees Celsius, the representative value of T0 is 4 hours, and the representative value of T1 and T2 is 4 hours, and the representative value of K0 and K1 is 5%, the representative value of K2 is 60%, and the representative value in summer of building air conditioning preferred temperature is 26 degrees Celsius;
3) according to all full curve sections of the A that satisfies condition, calculate firm demand value, specific formula for calculation is:
P0＝E0/D0
Wherein, P0 is firm demand value, and E0 is the meritorious integration of all full curve sections of A of satisfying condition, and D0 is the total duration of all full curve sections of A of satisfying condition;
4) according to all full curve sections of the B that satisfies condition, calculate temperature coefficient, specific formula for calculation is:
a1＝(E1－P0×D1)/D1/H1
H1＝∑△Tb/60/D1
Wherein, a1 is temperature coefficient, E1 is the meritorious integration of all full curve sections of B of satisfying condition, D1 is the total duration of all full curve sections of B of satisfying condition, H1 is the indoor/outdoor temperature-difference hourly average value of all full curve sections of B of satisfying condition, and ∑ △ Tb is the summation of indoor and outdoor temperature difference per minute of all full curve sections of B of satisfying condition;
5) to all full curve sections of the C that satisfies condition, calculate each whole point of hour per capita environment loads value, specific formula for calculation is:
A2[i]＝(Px[i]－a1×△Tc[i]－P0)/m[i]
Wherein, i-th whole point hour per capita environment loads value in all full curve sections that A2 [i] is the C that satisfies condition, the burden with power at i-th whole point of hour in all full curve sections that Px [i] is the C that satisfies condition, the indoor and outdoor temperature at i-th whole point of hour in all full curve sections that △ Tc [i] is the C that satisfies condition is poor, personnel's number in the building at i-th whole point of hour in all full curve sections that m [i] is the C that satisfies condition;
6) according to all full curve sections of the C that satisfies condition, calculate per capita environment loads coefficient, specific formula for calculation is:
a2＝∑△A2/n
Wherein, a2 is load coefficient per capita, and ∑ △ A2 is the summation of the whole point of hour per capita environment loads value satisfied condition in all full curve sections of C, and n is the number of the whole point of hour per capita environment loads value satisfied condition in all full curve sections of C;
7) calculate the discreet value of air conditioning electricity load, specific formula for calculation is:
P＝P0+a1×△T+a2×m
Wherein, P is the discreet value of air conditioning electricity load, and △ T is the current indoor/outdoor temperature-difference of office building, and m is personnel's number in current building.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117649062A (en) * | 2024-01-30 | 2024-03-05 | 中国建筑西北设计研究院有限公司 | Engineering configuration method and device for multi-heat source combined operation energy station system capacity |
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| CN101782258A (en) * | 2009-01-19 | 2010-07-21 | 中华电信股份有限公司 | Energy-saving method for air conditioner |
| JP2011185534A (en) * | 2010-03-09 | 2011-09-22 | Panasonic Corp | Air conditioner |
| CN102779228A (en) * | 2012-06-07 | 2012-11-14 | 华南理工大学 | Method and system for online prediction on cooling load of central air conditioner in marketplace buildings |
| CN104112077A (en) * | 2014-07-22 | 2014-10-22 | 上海申瑞继保电气有限公司 | Method for calculating per capita air conditioner electricity consumption of office building |
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| CN117649062A (en) * | 2024-01-30 | 2024-03-05 | 中国建筑西北设计研究院有限公司 | Engineering configuration method and device for multi-heat source combined operation energy station system capacity |
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