CN202093557U - Energy source management system - Google Patents
Energy source management system Download PDFInfo
- Publication number
- CN202093557U CN202093557U CN2011201379958U CN201120137995U CN202093557U CN 202093557 U CN202093557 U CN 202093557U CN 2011201379958 U CN2011201379958 U CN 2011201379958U CN 201120137995 U CN201120137995 U CN 201120137995U CN 202093557 U CN202093557 U CN 202093557U
- Authority
- CN
- China
- Prior art keywords
- energy
- data
- energy consumption
- consumption
- center
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
Images
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/80—Management or planning
- Y02P90/84—Greenhouse gas [GHG] management systems
- Y02P90/845—Inventory and reporting systems for greenhouse gases [GHG]
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The utility model relates to an energy source management system, which comprises a data collection module, a data center and an energy consumption analysis management center, wherein the energy consumption analysis management center is respectively connected with the data collection module and the data center, and the energy consumption analysis management center analyzes and processes the energy resource consumption data of at least one sub system and carries out comparison analysis with a corresponding typical system. The collection and the analysis are carried out on the energy source consumption data of each sub system, the energy source consumption data and the efficiency of the sub system are clearly and systematically known, the tracking and the analysis can be effectively carried out on the efficiency of the energy consumption equipment, the energy consumption distribution can be accurately known, the energy consumption influence factors can be conveniently considered, and a good basis can be provided for the energy source management.
Description
Technical field
The utility model relates to a kind of energy management system, relates in particular to a kind of energy-conservation energy management system.
Background technology
Energy management is the last very big topic of current society, should take all factors into consideration from aspects such as energy resource consumption and dischargings, quite a few energy that uses is to belong to non-renewable resources at present, these non-renewable resources can be more and more deficienter along with the development of society, the consumption that reduces the energy so is our too impatient to wait demand, also to consider simultaneously the control of discharging, to slow down greenhouse effect as the amount of control carbon emission.
Conventional energy management system is monitored user's energy supply by the mode of fieldbus, only rely on a total ammeter and water meter to measure the energy that is consumed as the user, and come the energy consumption and the cost of metering user whereby, this energy management mode possesses simple data acquisition function and data presentation function, but can not follow the trail of the efficient of energy consumption equipment, analyze and checking, not understanding energy consumption distributes, ignored the influence of factors on energy consumption such as weather more, therefore, can not in time find the problem that user's energy resource system exists, belong to the energy management of extensive style, in energy management, caused very big waste, especially manufacturing type user, the machine industry again or bigger user or the place of megastore's equal energy source consumption, waste even more serious, therefore, be badly in need of a kind of energy management system efficiently, provide rational foundation for saving energy resource consumption.
Summary of the invention
Technical problem to be solved in the utility model is to follow the trail of and to analyze the efficient of energy consumption equipment, accurately understands the distribution of energy consumption and the influence factor of consideration energy consumption.
Data acquisition module described in the utility model, data center, energy consumption analysis administrative center, data monitoring module, weather data module, data storage cell, energy consumption reporting modules, energy consumption side management unit etc. all are hardware modules that adopt to handle particular task, comprise hardware measuring equipment, hardware handles equipment or specific interface module etc.
To this, the utility model provides a kind of energy management system, comprise data acquisition module and data center, also comprise energy consumption analysis administrative center, energy consumption analysis administrative center is connected with data center with data acquisition module respectively, the energy resource consumption data of energy consumption analysis administrative center at least one subsystem of analyzing and processing.
Data acquisition module comprises instrument, data acquisition unit, transmission communication equipment, and data acquisition module is gathered the energy consumption consumption data of at least one subsystem; Described subsystem is for using the energy subsystem, described subsystem comprises air-conditioning subsystem, illumination subsystems and power sub-system, power sub-system comprises the plant equipment that the user is used to produce, utilize instrument and the data acquisition unit energy resource consumption data to air-conditioning subsystem, illumination subsystems and power sub-system, especially the energy resource consumption data in antithetical phrase system power source are gathered; By transmission communication equipment, data acquisition module is sent to energy consumption analysis administrative center with the energy resource consumption data that collect, the energy resource consumption data of energy consumption analysis administrative center at least one subsystem of analyzing and processing, and the energy resource consumption data are sent to data center.
Adopt technique scheme, the energy resource consumption data of energy consumption analysis administrative center at least one subsystem of analyzing and processing, add up and gather the energy resource consumption data of at least one subsystem, operation processing power to each subsystem, efficient situation and actual operating position divide other to measure and analyze, can very clearly recognize the energy resource consumption situation and the efficient of each subsystem, effectively the energy resource consumption of subsystem is followed the trail of and analyzed, the energy consumption of accurately understanding subsystem distributes, the convenient influence factor of considering energy consumption is for energy management provides a good basis.The utility model can also be contrasted analysis with the energy resource consumption data of energy resource consumption data and canonical system, makes things convenient for the user to judge the difference of energy resource consumption data intuitively, accurately understands energy resource consumption situation and efficient.
Canonical system is meant disclosed energy consumption system, comprise the energy consumption system that has used air-conditioning, illuminating lamp and other plant equipment, after the energy resource consumption data process collection with canonical system, obtain monthly average energy resource consumption data, season average energy consumption data and annual energy resource consumption data, and the mean value of the energy resource consumption data of canonical system is kept in the data center, conveniently be used for contrast.
Number of patent application is in 201010159403.2 the patent application document, demand management and Service Part obtain one or more by communication network and utilize data element, demand management and Service Part generate one group of user interface according to described analysis, and/or provide one or more to optimize to improve sustainability and/or energy utilization, also comprised analysis component in this patent application document, but this analysis component analysis is the logical data of a whole system, do not analyze the efficient that accurately to understand the distribution situation of energy consumption and to follow the trail of concrete energy consumption equipment at subsystem.
Compared with prior art, its advantage is, the utility model also comprises energy consumption analysis administrative center, energy consumption analysis administrative center is connected with data center with data acquisition module respectively, after the energy resource consumption data that energy consumption analysis administrative center reception data acquisition module is gathered, the energy resource consumption data of at least one subsystem of analyzing and processing, clear, systematically understand the operation processing power of each tested subsystem, efficient situation and energy resource consumption data, the energy resource consumption data of the tested subsystem of analyzing and processing, at last these energy resource consumption data are sent to data center, effectively follow the trail of and analyze the efficient of energy consumption equipment, accurately understand the distribution of energy consumption.
Preferably, the utility model also comprises the data monitoring module, and the data monitoring module connects energy consumption analysis administrative center, the energy resource consumption situation of at least a energy of data monitoring module monitors.Energy data monitoring module comprises data acquisition unit, different with data acquisition module is, data acquisition unit is used for gathering respectively the energy resource consumption data of at least a energy, the energy resource consumption data that comprise at least a energy such as gathering water, electricity, oil, vapour, coal respectively, the utility model adopt water meter, ammeter and pressure transducer etc. to gather the energy resource consumption data of at least a energy such as water, electricity, oil, vapour, coal respectively; The utility model is measured oily content by pressure transducer, and in fixing receptacle, the suffered pressure of container bottom reduces along with the minimizing of the content of oil, and the utility model utilizes pressure transducer to monitor the content situation of oil in real time; The utility model is by the content of pressure transducer MEASUREMENT OF STEAM, and in fixing receptacle, the suffered pressure of container inner wall reduces along with the minimizing of the content of vapour, and the utility model utilizes pressure transducer to monitor the content situation of vapour in real time; The utility model is by the content of pressure transducer measurement coal, and in fixing receptacle, the suffered pressure of container bottom reduces along with the minimizing of the content of coal, and the utility model utilizes pressure transducer to monitor the content situation of coal in real time; In conjunction with water meter, ammeter and pressure transducer, the utility model is monitored the energy resource consumption data of at least a energy in real time, and these energy resource consumption data are sent to energy consumption analysis administrative center.
Be connected with dual mode between data monitoring module and the data acquisition module, a kind of connected mode is a connected mode arranged side by side, be that data monitoring module and data acquisition module are arranged side by side, the energy resource consumption data of at least a energy of data monitoring module monitors, the energy resource consumption data of at least one subsystem of data collecting module collected, the purpose of doing like this is the energy resource consumption data to be carried out the collection and the monitoring of comprehensive science from different sides, thereby realize more efficiently analysis and processing, the distribution of overall understanding energy consumption; Another kind of connected mode is nested connected mode, be that the data monitoring module is nested within the data acquisition module, the energy resource consumption data of at least one subsystem of data collecting module collected, and the data monitoring module monitors energy resource consumption data of at least a energy in energy subsystem the inside, that is to say, the nested connected mode collection and the energy resource consumption data of monitoring are at least a energy resource consumption data that belong to energy subsystem the inside, this has just realized more accurately understanding the distribution of energy consumption, scientifically grasp the energy resource consumption data, and follow the trail of and analyze the efficient of energy consumption equipment very exactly.
The utility model further adopts above-mentioned technical characterictic, its advantage is, data acquisition module is gathered the energy resource consumption data of subsystem, simultaneously, the collection of data monitoring module is also monitored at least a energy resource consumption data, that is to say, the utility model is to gathering simultaneously and monitor with the energy resource consumption data of the energy subsystem and a certain energy, can monitor the energy resource consumption situation of each tested energy, simultaneously can also and analyze the energy resource consumption situation of each subsystem according to user's demand collection, comprehensively, understand the distribution of energy consumption exactly, promote to follow the trail of and analyze the efficient of energy consumption equipment.
Preferably, the utility model also comprises the weather data module, and the weather data module comprises meteorogical phenomena database, and the weather data module is connected with energy consumption analysis administrative center with data center respectively.The weather data module on the basis of meteorogical phenomena database, calculate automatically mean daily temperature, air-conditioning subsist number (Cooling Degree-day, CDD) and heating degree number (Heating Degree-day, meteorologic parameter such as HDD).
Wherein, mean daily temperature is one day a medial temperature, the user can gather the temperature of different time on the same day, utilize these temperature averagings that collect to obtain mean daily temperature, as gather 4 times, promptly gather Beijing time the be 02:00 \ 08:00 \ 14:00 \ 20:00 temperature of totally 4 times, and with the summations of temperature of this 4 times divided by 4 mean daily temperatures that obtain this day.
The air-conditioning number (CDD) of subsisting in the middle of 1 year, when outdoor mean daily temperature was higher than 26 ℃ when certain day, multiply by 1d with the difference of this mean daily temperature and 26 ℃, and with this product accumulation, obtains the air-conditioning in the 1 year number of subsisting, and unit is a ℃ d.In the utility model patent, the air-conditioning number (CDD) of subsisting is to utilize the difference be higher than equilibrium temperature to calculate, when the air-conditioning number (CDD) of subsisting needs cooling when being higher than equilibrium temperature.
Heating degree number (HDD) in the middle of 1 year, when outdoor mean daily temperature was lower than 18 ℃ when certain day, multiply by 1d with the difference of this mean daily temperature and 18 ℃, and with this product accumulation, obtains the heating degree number in 1 year, and unit is a ℃ d.In the utility model patent, heating degree number (HDD) is to utilize the difference that is lower than equilibrium temperature to calculate, and (HDD) needs heat supply when being lower than equilibrium temperature when the heating degree number.
Subsist number (CDD) and heating degree number (HDD) and equilibrium temperature of air-conditioning is closely bound up.The described equilibrium temperature of the utility model patent is meant when outdoor when reaching a certain temperature, in the room heat equates that with heat dissipation capacity promptly be in thermal equilibrium state, so, this temperature is exactly an equilibrium temperature.The equilibrium temperature of Various Seasonal can be different, and the equilibrium temperature of heating season is defaulted as 18 ℃; The equilibrium temperature in air-conditioning season is defaulted as 26 ℃.Heating season is the season that needs heating, based on winter, and extends to spring and autumn; Air-conditioning based on summer, and extends to spring and autumn for needing the season of refrigeration season.
Why need to consider mean daily temperature, air-conditioning subsist the number (CDD) and heating degree number meteorologic parameters such as (HDD), be because there is bigger influence in weather to energy consumption, if do not consider described meteorologic parameter, can't accurately hold the distribution of energy resource consumption, can not embody the relation between energy resource consumption data and the Changes in weather more, such energy management system is a not enough science and comprehensive.
The subsist computing method of number (CDD) and heating degree number (HDD) of described air-conditioning are as follows:
1, the outdoor mean daily temperature of supposing air-conditioning season day is
, equilibrium temperature is 26 ℃.
If
℃, the air-conditioning of the every day number of subsisting then
If
℃, the air-conditioning of the every day number of subsisting then
The air-conditioning of every day several sums of subsisting are exactly the air-conditioning of this month number of subsisting; The air-conditioning number of days sum of every month is exactly the air-conditioning of this year number of subsisting.
2, the outdoor mean daily temperature of supposing heating season day is
, equilibrium temperature is 18 ℃.
If
℃, the heating degree number of every day then
If
℃, the heating degree number of every day then
The heating degree of every day is counted the heating degree number that sum is exactly this month; The confession heating number of days sum of every month is exactly the heating degree number of this year.
The utility model further adopts above-mentioned technical characterictic, its advantage is, automatically calculate mean daily temperature, air-conditioning is subsisted and is counted (CDD) and heating degree number meteorologic parameters such as (HDD), and these parameters are sent to data center and energy consumption analysis administrative center, be convenient to energy consumption analysis administrative center and analyze and handle the energy resource consumption data, meteorologic parameter accurately is provided, simultaneously, described meteorologic parameter also will deposit in the meteorogical phenomena database, bring in constant renewal in and the expansion meteorogical phenomena database, the utility model is by means of the weather data module, taken into full account the influence of weather to energy consumption, be convenient to rationally, estimate the consumption data of the energy exactly, for energy management system provides good basis and reference, the utility model utilizes mean daily temperature, air-conditioning is subsisted and is counted (CDD), the energy resource consumption data fitting weather that heating degree number (HDD) and data acquisition module are gathered and the curved line relation of energy resource consumption data promote understanding and management that energy resource consumption is distributed.
Preferably, described data center comprises data storage cell, and energy consumption analysis administrative center is sent to the storage unit of data center with the energy resource consumption data, sets up the energy consumption file store.
The energy consumption file store can help the user to keep and manage the energy consumption archives, provide a data basis to energy consumption analysis, also be the most direct reference of energy management simultaneously, if lacked the energy consumption file store, it is an incomplete energy management system, can cause and to compare the energy resource consumption data, not understand the serious problems such as distribution situation tendency of energy resource consumption.
Energy file store of the present utility model is preserved the energy resource consumption data that data acquisition module is gathered, the energy resource consumption data or the described meteorologic parameter that comprise the energy resource consumption data of at least one subsystem, at least a energy, and the curved line relation of meteorologic parameter and the match of energy resource consumption data institute.
The utility model further adopts above-mentioned technical characterictic, its advantage is, setting up the energy consumption file store can help the user to carry out energy management efficiently and energy consumption analysis, be convenient to energy consumption analysis administrative center and call historical data, help the user that the present situation and the historical record of energy resource consumption data are effectively analyzed and contrasted, understand the distribution situation and the tendency of energy resource consumption, thereby the energy consumption problem that discovery system in time exists promotes the scientific management of the energy.
Preferably, the utility model also comprises the energy consumption reporting modules, and the energy consumption reporting modules is connected with energy consumption analysis administrative center, the built-in at least a energy consumption report template of energy consumption reporting modules.
Energy consumption reporting modules of the present utility model provides at least a energy consumption report template, relatively reports from various energy consumption datas and expense, to the flat report of electric power peak valley; Report the system energy consumption assessment report from carbon emission, report that from energy consumption index the energy consumption budget message all has corresponding report template, satisfy the demand of different user to report, report template comprises multiple forms such as EXCEL, PDF.Energy consumption report template of the present utility model also comprises the energy consumption report template that comprises histogram, cake chart and trend map of automatic generation.
The purpose of using energy management system is distribution and the tendency in order to understand the energy resource consumption data, scientifically carry out the management of the energy, if but there is not rational energy consumption report template, effect will be had a greatly reduced quality so, causes the effect of energy management directly not embodied.
The utility model further adopts above-mentioned technical characterictic, and its advantage is that energy consumption analysis administrative center handles the energy resource consumption data, and call the data of data center the inside, automatically generate the energy consumption report template, relatively report, to the flat report of electric power peak valley from various energy consumption datas and expense; Report the system energy consumption assessment report from carbon emission, report that from energy consumption index the energy consumption budget message all has corresponding report template, satisfy the demand of different user to report, report template comprises EXCEL, multiple form such as PDF, the energy consumption report template also comprises the histogram that comprises of automatic generation, the energy consumption report template of cake chart and trend map, the present situation and the historical data of energy resource consumption are effectively analyzed and contrasted, help the user quick, directly understand the distribution situation and the tendency of energy resource consumption, the energy consumption problem of discovery system existence in time, the high-efficiency management of the promotion energy.
Preferably, the utility model energy consumption analysis administrative center also comprises energy consumption side management unit, and described energy consumption side management unit is used to calculate the energy consumption cost of energy resource consumption data.
Energy consumption side management unit by using peak valley ordinary telegram valency, in conjunction with the energy resource consumption data computation electric energy consumption costs of electricity, peak valley ordinary telegram valency refers to peak of power consumption, low power consumption and electricity consumption electricity price generally speaking.
Energy consumption side management unit is used to calculate the electric energy consumption costs, energy resource consumption data computation according to electric energy goes out corresponding cost, and show intuitively, being convenient to guides user utilizes different electricity prices to carry out effective scheduling of production, expense cuts down the consumption of energy, help production and facilities management personnel to carry out the analysis and decision of electric energy, the utility model further adopts above-mentioned technical characterictic, its advantage is, the electric energy consumption costs that the utility model calculates at least one subsystem automatically according to the energy resource consumption data and the peak valley ordinary telegram valency of electricity, understand the flat electric energy of peak valley and consume situation, more accurately understand distribution situation and expense thereof that energy consumption changed along with the time period, be convenient to instruct the adjustment of electric energy consumption, energy savings consumption realizes energy management system efficiently.
Description of drawings
Fig. 1 is the structural representation of the utility model embodiment 1;
Fig. 2 is the structural representation of the utility model embodiment 2;
Fig. 3 is the structural representation of the utility model embodiment 3;
Fig. 4 is the structural representation of the utility model embodiment 4;
Fig. 5 is the structural representation of the utility model embodiment 5;
Fig. 6 is the structural representation of the utility model embodiment 6;
Fig. 7 is the structural representation of the utility model embodiment 7;
Fig. 8 is the structural representation of the utility model embodiment 8.
Embodiment
Below in conjunction with specific embodiment the utility model is further described.
Embodiment 1:
As shown in Figure 1, this example provides a kind of energy management system, comprise data acquisition module and data center, also comprise energy consumption analysis administrative center, energy consumption analysis administrative center is connected with data center with data acquisition module respectively, the energy resource consumption data of energy consumption analysis administrative center at least one subsystem of analyzing and processing.
Adopt technique scheme, the energy resource consumption data of energy consumption analysis administrative center at least one subsystem of analyzing and processing, the energy resource consumption data of adding up and gathering at least one subsystem, and contrast analysis with corresponding canonical system; Operation processing power, efficient situation and actual operating position to each subsystem are measured and are analyzed, can very clearly recognize the energy resource consumption situation and the efficient of each subsystem, for energy management provides a good basis, effectively the efficient of energy consumption equipment is followed the trail of and analyzed, accurately understand the distribution of energy consumption, the convenient influence factor of considering energy consumption.
Embodiment 2:
As shown in Figure 2, on the basis of embodiment 1, data acquisition module comprises instrument, data acquisition unit, transmission communication equipment, and data acquisition module is gathered the energy consumption consumption data of at least one subsystem; Subsystem is for using the energy subsystem, comprise air-conditioning subsystem, illumination subsystems and power sub-system, the energy resource consumption data that data collecting module collected obtains are sent to energy consumption analysis administrative center, the energy resource consumption data of energy consumption analysis administrative center at least one subsystem of analyzing and processing, the analyzing and processing of energy consumption analysis administrative center comprises air-conditioning subsystem analysis unit, illumination subsystems analytic unit and power sub-system analytic unit, and the energy resource consumption data of subsystem is sent to data center.
Compared with prior art, this routine advantage is, after the data that energy consumption analysis administrative center reception data acquisition module is gathered, the energy resource consumption data of difference analyzing and processing air-conditioning subsystem, illumination subsystems and power sub-system, understand operation processing power, efficient situation and the actual operating position of each tested subsystem, its heat of analyzing and processing, flow and electric weight equal energy source consumption data, at last these energy resource consumption data are sent to data center, effectively follow the trail of and analyze the efficient of energy consumption equipment, accurately understand the distribution of energy consumption.
Embodiment 3:
As shown in Figure 3, as different from Example 1, this example also comprises the data monitoring module, and the data monitoring module connects energy consumption analysis administrative center, the operating position of at least a energy of data monitoring module monitors.Energy data monitoring module comprises data acquisition unit, what data acquisition unit was different with data acquisition module is, data acquisition unit is used for gathering respectively the energy resource consumption data of at least a energy, comprise the energy resource consumption situation of gathering water, electricity, oil, vapour and coal respectively, monitor the energy resource consumption situation of at least a energy in real time, and this energy resource consumption situation is sent to energy consumption analysis administrative center.
In this example, the data monitoring module is to be connected side by side with data acquisition module, the energy resource consumption data of at least a energy of data monitoring module monitors, the energy resource consumption data of at least one subsystem of data collecting module collected, this routine advantage is, to gathering simultaneously and monitor to the energy resource consumption situation of a certain energy with the energy subsystem, can monitor in the system, the consumption situation of each energy, can and analyze the energy resource consumption situation of each subsystem according to user's demand collection, the energy resource consumption data are carried out the collection and the monitoring of comprehensive science from different sides, thereby realize more efficiently analysis and processing, the distribution of overall understanding energy consumption, the efficient of energy consumption equipment is followed the trail of and is analyzed in promotion.
Embodiment 4:
As shown in Figure 4, as different from Example 3, this routine data monitoring module adopts nested connected mode with data acquisition module, be that the data monitoring module is nested within the data acquisition module, the energy resource consumption data of at least one subsystem of data collecting module collected, and the data monitoring module monitors energy resource consumption data of at least a energy in energy subsystem the inside, that is to say, this example is gathered and the energy resource consumption data of monitoring are at least a energy resource consumption data that belong to energy subsystem the inside, the advantage of doing like this has been to realize more accurately to understand the distribution of energy consumption, scientifically grasp the energy resource consumption data, follow the trail of and analyze the efficient of energy consumption equipment very exactly.
Embodiment 5:
As shown in Figure 5, as different from Example 2, this example also comprises the weather data module, and the weather data module comprises meteorogical phenomena database, and the weather data module is connected with energy consumption analysis administrative center with data center respectively.The weather data module calculates mean daily temperature, air-conditioning subsist number (CDD) and heating degree number (HDD) meteorologic parameters automatically on the basis of meteorogical phenomena database.
Wherein, mean daily temperature is one day a medial temperature, and the user can gather Beijing time the be 02:00 \ 08:00 \ 14:00 \ 20:00 temperature of totally 4 times on the same day, and with the summations of temperature of this 4 times divided by 4 mean daily temperatures that obtain this day.
The subsist computing method of number (CDD) and heating degree number (HDD) of this routine described air-conditioning the following is: air-conditioning several CDD=that subsist
(mean daily temperature-equilibrium temperature), heating degree is counted HDD=
(equilibrium temperature-mean daily temperature), wherein,
It is the symbol of summation.
In this example, the outdoor medial temperature of the some day in air-conditioning season is 30 ℃, and equilibrium temperature is 26 ℃.Because
℃, the air-conditioning in this sky number of subsisting then
, unit is a ℃ d; If
℃, the air-conditioning in this sky number of subsisting then
, unit is a ℃ d.
This routine advantage is, energy management system calculates mean daily temperature automatically, air-conditioning is subsisted and is counted (CDD) and heating degree number meteorologic parameters such as (HDD), and these parameters are sent to data center and energy consumption analysis administrative center, be convenient to energy consumption analysis administrative center and analyze and handle the energy resource consumption data, meteorologic parameter accurately is provided, simultaneously, described meteorologic parameter also will deposit in the meteorogical phenomena database, bring in constant renewal in and the expansion meteorogical phenomena database, the utility model is by means of the weather data module, taken into full account the influence of weather to energy consumption, be convenient to rationally, estimate the consumption data of the energy exactly, for energy management system provides good basis and reference, be convenient to the relation of match weather and energy resource consumption, promote understanding and management that energy resource consumption is distributed.
Embodiment 6:
As shown in Figure 6, as different from Example 2, described data center comprises data storage cell, and energy consumption analysis administrative center is sent to the storage unit of data center with the energy resource consumption data, sets up the energy consumption file store.
This example further adopts above-mentioned technical characterictic, its advantage is, setting up the energy consumption file store can help the user to carry out energy management efficiently and energy consumption analysis, be convenient to energy consumption analysis administrative center and call historical data, help the user that the present situation and the historical record of energy resource consumption data are effectively analyzed and contrasted, understand the distribution situation and the tendency of energy resource consumption, thereby the energy consumption problem that discovery system in time exists promotes the scientific management of the energy.
Embodiment 7:
As shown in Figure 7, as different from Example 6, this example also comprises the energy consumption reporting modules, the energy consumption reporting modules is connected with energy consumption analysis administrative center, the energy consumption reporting modules provides multiple energy consumption report template, relatively reports from various energy consumption datas and expense, to the flat report of electric power peak valley; Report the system energy consumption assessment report from carbon emission, report that from energy consumption index the energy consumption budget message all has corresponding report template, satisfy the demand of different user to report, report template comprises EXCEL and PDF respectively.Energy consumption report template of the present utility model also comprises the energy consumption report template that comprises histogram, cake chart and trend map of automatic generation.
Energy consumption reporting modules in this example also links to each other with data center, except the energy resource consumption data of utilizing data center generate the energy consumption report automatically, the energy consumption report that the energy consumption reporting modules generates also will be stored in data storage cell, be convenient to user's inquiry and follow-up management.
This routine advantage is the present situation of energy resource consumption and historical data are effectively analyzed and contrasted, and the help user fast, directly understands the distribution situation and the tendency of energy resource consumption, the energy consumption problem that discovery system in time exists, the high-efficiency management of the promotion energy.
Embodiment 8:
As shown in Figure 8, as different from Example 7, energy consumption analysis administrative center also comprises energy consumption side management unit, and described energy consumption side management unit is used to calculate the energy consumption cost of energy resource consumption data.
The energy consumption side management unit by using peak valley ordinary telegram valency that this is routine, in conjunction with the energy resource consumption data computation electric energy consumption costs of electricity, peak valley ordinary telegram valency refers to peak of power consumption, low power consumption and electricity consumption electricity price generally speaking.
Energy consumption side management unit is used to calculate the electric energy consumption costs, energy resource consumption data computation according to electric energy goes out the electric energy consumption costs, being convenient to guides user utilizes different electricity prices to carry out effective scheduling of production, the expense that cuts down the consumption of energy helps to produce and the facilities management personnel carry out the analysis and decision of electric energy.
The electric energy consumption costs that this example calculates at least one subsystem automatically according to the energy resource consumption data and the peak valley ordinary telegram valency of electricity, understand the flat electric energy of peak valley and consume situation, more accurately understand distribution situation and expense thereof that energy consumption changed along with the time period, be convenient to instruct the adjustment of electric energy consumption, energy savings consumes, and realizes energy management system efficiently.
The embodiment of the above is a better embodiment of the present utility model; be not to limit concrete practical range of the present utility model with this; scope of the present utility model comprises and is not limited to this embodiment that the equivalence that all shapes according to the utility model, structure are done changes all in protection domain of the present utility model.
Claims (9)
1. energy management system, comprise the data acquisition module and the data center that are used to gather the energy resource consumption data, it is characterized in that: also comprise the energy consumption analysis administrative center that is used at least one subsystem energy resource consumption data of analyzing and processing, energy consumption analysis administrative center is connected with data center with data acquisition module respectively, data acquisition module comprises instrument, data acquisition unit and transmission communication equipment, energy consumption analysis administrative center adopts hardware handles equipment, and data center adopts hardware module to be used to receive the energy resource consumption data.
2. energy management system according to claim 1 is characterized in that: also comprise the data monitoring module of the energy resource consumption situation that is used to monitor at least a energy, the data monitoring module comprises data acquisition unit, and connects energy consumption analysis administrative center.
3. energy management system according to claim 1 and 2 is characterized in that: also comprise the weather data module, the weather data module is a hardware module, comprises meteorogical phenomena database, and the weather data module is connected with energy consumption analysis administrative center with data center respectively.
4. energy management system according to claim 1 and 2, it is characterized in that: data center comprises data storage cell, energy consumption analysis administrative center is sent to the storage unit of data center with the energy resource consumption data, sets up the energy consumption file store.
5. energy management system according to claim 3, it is characterized in that: data center comprises data storage cell, energy consumption analysis administrative center is sent to the storage unit of data center with the energy resource consumption data, sets up the energy consumption file store.
6. energy management system according to claim 4 is characterized in that: also comprise the energy consumption reporting modules, the energy consumption reporting modules is connected with energy consumption analysis administrative center, and the energy consumption reporting modules adopts hardware module, built-in at least a energy consumption report template.
7. energy management system according to claim 5 is characterized in that: also comprise the energy consumption reporting modules, the energy consumption reporting modules is connected with energy consumption analysis administrative center, and the energy consumption reporting modules adopts hardware module, built-in at least a energy consumption report template.
8. energy management system according to claim 6 is characterized in that: energy consumption analysis administrative center also comprises the energy consumption side management unit that is used to calculate energy resource consumption data energy consumption cost, and described energy consumption side management unit adopts hardware module.
9. energy management system according to claim 7 is characterized in that: energy consumption analysis administrative center also comprises the energy consumption side management unit that is used to calculate energy resource consumption data energy consumption cost, and described energy consumption side management unit adopts hardware module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011201379958U CN202093557U (en) | 2011-05-04 | 2011-05-04 | Energy source management system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011201379958U CN202093557U (en) | 2011-05-04 | 2011-05-04 | Energy source management system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN202093557U true CN202093557U (en) | 2011-12-28 |
Family
ID=45368611
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2011201379958U Expired - Fee Related CN202093557U (en) | 2011-05-04 | 2011-05-04 | Energy source management system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN202093557U (en) |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102711136A (en) * | 2012-01-12 | 2012-10-03 | 李彬 | Energy saving amount calculation method and system for communication base station |
| CN104375469A (en) * | 2013-08-13 | 2015-02-25 | 苏州广海信息科技有限公司 | Energy management system |
| CN105260845A (en) * | 2015-10-20 | 2016-01-20 | 无锡佳测科技有限公司 | Energy consumption management system |
| CN106022656A (en) * | 2016-06-21 | 2016-10-12 | 上海黄中工程技术有限公司 | Internet-based energy station interactive management and control system |
| CN106709627A (en) * | 2016-11-21 | 2017-05-24 | 广州远正智能科技股份有限公司 | Benchmark energy consumption management method and device thereof |
| CN108898417A (en) * | 2018-05-30 | 2018-11-27 | 新奥泛能网络科技有限公司 | The powering device energy supply method of cost accounting and device based on variable water price |
| CN109828539A (en) * | 2019-01-30 | 2019-05-31 | 浙江中易慧能科技有限公司 | A kind of big data based on PDCA system is for heat energy control platform system |
| CN112561318A (en) * | 2020-12-14 | 2021-03-26 | 清华大学 | Comprehensive evaluation and analysis tool for energy system of data center |
| CN113028596A (en) * | 2021-03-18 | 2021-06-25 | 清华大学 | Energy consumption evaluation and diagnosis method and system for air conditioning system |
-
2011
- 2011-05-04 CN CN2011201379958U patent/CN202093557U/en not_active Expired - Fee Related
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102711136A (en) * | 2012-01-12 | 2012-10-03 | 李彬 | Energy saving amount calculation method and system for communication base station |
| CN104375469A (en) * | 2013-08-13 | 2015-02-25 | 苏州广海信息科技有限公司 | Energy management system |
| CN105260845A (en) * | 2015-10-20 | 2016-01-20 | 无锡佳测科技有限公司 | Energy consumption management system |
| CN106022656A (en) * | 2016-06-21 | 2016-10-12 | 上海黄中工程技术有限公司 | Internet-based energy station interactive management and control system |
| CN106709627A (en) * | 2016-11-21 | 2017-05-24 | 广州远正智能科技股份有限公司 | Benchmark energy consumption management method and device thereof |
| CN106709627B (en) * | 2016-11-21 | 2020-07-07 | 广州远正智能科技股份有限公司 | Method and device for managing energy consumption of marker post |
| CN108898417A (en) * | 2018-05-30 | 2018-11-27 | 新奥泛能网络科技有限公司 | The powering device energy supply method of cost accounting and device based on variable water price |
| CN109828539A (en) * | 2019-01-30 | 2019-05-31 | 浙江中易慧能科技有限公司 | A kind of big data based on PDCA system is for heat energy control platform system |
| CN112561318A (en) * | 2020-12-14 | 2021-03-26 | 清华大学 | Comprehensive evaluation and analysis tool for energy system of data center |
| CN113028596A (en) * | 2021-03-18 | 2021-06-25 | 清华大学 | Energy consumption evaluation and diagnosis method and system for air conditioning system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN202093557U (en) | Energy source management system | |
| CN202254110U (en) | Electric energy control device of air conditioner | |
| CN101813941B (en) | Energy efficiency optimizing and dispatching system for cold, heat and electricity triple supply equipment | |
| CN111539652A (en) | Building energy management system and method based on Internet of things | |
| CN103017290A (en) | Air conditioner electric energy control device and air conditioner electric energy management method | |
| CN102982489A (en) | Power customer online grouping method based on mass measurement data | |
| CN102231171A (en) | Calculation, comparison, analysis and loss reduction method for statistical line loss and theoretical line loss | |
| CN111709626A (en) | Water, electricity and heat comprehensive data abnormity analysis method and system, storage medium and terminal | |
| CN202907195U (en) | Communication base station energy consumption management system | |
| CN109327049B (en) | Diversified energy supply and utilization system and diversified energy supply and utilization method thereof | |
| CN104504619A (en) | Temperature/ economic growth factor considered monthly total electricity consumption predication method | |
| CN202837961U (en) | Energy consumption information dynamically monitoring system based on Internet of things | |
| CN202033394U (en) | Data center power usage effectiveness (PUE) acquiring and displaying system | |
| CN104505824A (en) | Method and device for making electricity-generating load plan of thermal power plant under running mode of ordering power by heat | |
| CN116362584A (en) | Economic analysis method based on user side energy storage capacity configuration | |
| CN201654844U (en) | Energy monitoring and operating system | |
| CN109325641A (en) | A kind of industrial efficiency management system and method | |
| CN116937816B (en) | Intelligent edge computing gateway | |
| CN202013506U (en) | Energy source management and control system | |
| CN118036996A (en) | Energy grid planning system and method based on double-carbon targets | |
| Olympios et al. | A holistic framework for the optimal design and operation of electricity, heating, cooling and hydrogen technologies in buildings | |
| CN111968008A (en) | Comprehensive energy monitoring system and method based on multi-energy cooperation | |
| CN103235563B (en) | Industrial field equipment energy efficiency evaluation method | |
| CN113759798B (en) | Energy monitoring system | |
| CN104158175A (en) | Calculation method for real-time electricity classified load of power system distribution transformer terminal |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C56 | Change in the name or address of the patentee | ||
| CP03 | Change of name, title or address |
Address after: Futian District Shennan Road Shenzhen city Guangdong province 518000 Qiushi building seat 2011-2015 Patentee after: Shenzhen Tuoyuan Energy Science & Technology Co., Ltd. Address before: 518000, Guangdong, Shenzhen Province, Nanshan District, Shennan Avenue North, Century Holiday Plaza, east block, 1403 Patentee before: ESD Energy Co., Ltd. |
|
| C56 | Change in the name or address of the patentee | ||
| CP02 | Change in the address of a patent holder |
Address after: 518000, Guangdong, Shenzhen, Futian District Shennan Road, Qiushi building, East Block 2011, 2012, 2013, 2015 Patentee after: Shenzhen Tuoyuan Energy Science & Technology Co., Ltd. Address before: Futian District Shennan Road Shenzhen city Guangdong province 518000 Qiushi building seat 2011-2015 Patentee before: Shenzhen Tuoyuan Energy Science & Technology Co., Ltd. |
|
| C56 | Change in the name or address of the patentee | ||
| CP02 | Change in the address of a patent holder |
Address after: 14, building 702, two, Shenzhen Software Park, two road, Nanshan District science and technology, Guangdong, Shenzhen 518000, China Patentee after: Shenzhen Tuoyuan Energy Science & Technology Co., Ltd. Address before: 518000, Guangdong, Shenzhen, Futian District Shennan Road, Qiushi building, East Block 2011, 2012, 2013, 2015 Patentee before: Shenzhen Tuoyuan Energy Science & Technology Co., Ltd. |
|
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20111228 Termination date: 20200504 |