CN104200337A - Enterprise energy balancing method based on comprehensive energy consumption judgment - Google Patents
Enterprise energy balancing method based on comprehensive energy consumption judgment Download PDFInfo
- Publication number
- CN104200337A CN104200337A CN201410474185.XA CN201410474185A CN104200337A CN 104200337 A CN104200337 A CN 104200337A CN 201410474185 A CN201410474185 A CN 201410474185A CN 104200337 A CN104200337 A CN 104200337A
- Authority
- CN
- China
- Prior art keywords
- energy
- enterprise
- data
- balance
- loss
- 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.)
- Pending
Links
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
- Y02P80/00—Climate change mitigation technologies for sector-wide applications
- Y02P80/10—Efficient use of energy, e.g. using compressed air or pressurized fluid as energy carrier
-
- 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
- Y02P90/82—Energy audits or management systems therefor
Abstract
The invention provides an enterprise energy balancing method based on comprehensive energy consumption judgment. According to the method, a product process is modeled, a historical data period is selected, and good data obtained by filtering is used as an input parameter of an enterprise energy consumption judgment model; enterprise energy consumption is comprehensively judged by a series grey neural network calculating method; enterprise comprehensive energy consumption per unit product yield, enterprise comprehensive energy consumption per unit product and enterprise energy utilization rate are further calculated by calculating enterprise energy effective utilization rate, remaining energy rate and energy consumption data of each main product, an automatic energy balancing model based on a multi-target genetic algorithm is established, an enterprise energy balance indicator is calculated, and results are displayed to users.
Description
Technical field
The present invention relates to the enterprise energy balance method of energy management system, particularly a kind of enterprise energy balance method based on comprehensive energy consumption judgement.
Background technology
The energy is the material that Conversion of Energy is provided to nature, is the material base of mankind's activity.The development of the energy, the energy and environment, be the whole world, whole mankind's questions of common interest, is also the major issue of Chinese society economic development.Save the energy and increasing economic efficiency, promote scientific-technical progress, the protection of the environment aspect such as has safely been brought into play vital role, is one of effective ways of realizing sustainable development.
China has started progressively to enter comprehensive industrialization phase, the shortage of main energy sources is more and more obvious to China's economic development restrictive function, supply and demand gap is increasing, and the imbalance between supply and demand of the energy becomes increasingly conspicuous, and resolving energy problem has become our task of top priority.Strengthen energy management and become China and realize the important method of circulation, low-carbon (LC), green economy, many enterprises started energy-saving and cost-reducing, strengthen resource secondary comprehensive utilization as the grand strategy approach reducing costs.At present, compared with advanced international standard, still there is larger gap at aspects such as energy efficiency, Energy Intensity, energy consumption of unit product in China.According to incompletely statistics, cut-off was to 2008, and the energy resource consumption intensity of China is respectively 6 times of Japan, 4 times and 3 times of the U.S. of Germany, and the energy resource consumption strength ratio of major industrial product is external high more than 25% generally, and the energy-conservation road of China shoulders heavy responsibilities.
Enterprise energy management system refers to that Enterprise Integrated uses social science and natural science applied method and principle, set up a set of robotization energy data-acquisition system, production, distribution, supply, accumulating and consumption overall process to enterprise energy scientifically planned, supervision, monitoring, make enterprise better complete resource allocation, tissue production, cost accounting, grasp in real time enterprise energy situation, reach economical rationality, effective utilization of the energy.And enterprise energy balance is the management method of a kind of science in energy management, be to strengthen energy management, reduce the effective way of energy consumption, in production enterprise, carrying out energy equilibrium is an energy-saving and cost-reducing very important ring.Energy Sources Equilibrium is investigated the equilibrium relation between an individual system input energy and effective energy, off-energy, and quantitative test is carried out in the use to integral energy, conversion, loss.By Energy Sources Equilibrium, can investigate enterprise energy consumption situation, understand main energy unit, the energy utilization rate of device and whole company.Through comprehensive assay, find out industry energy conservation potentiality, specify energy saving direction, provide scientific basis to improving enterprise energy utilization factor and reducing unit consumption.
Most domestic enterprise still adopts by hand and generates Energy Balance Sheet in Excel establishment at present, also the unrealized information system establishment Energy Balance Sheet of utilizing.Some company's Energy Balance Sheet are to work out in production and sale system energy management subsystem.Establishment is mainly that first to utilize Excel instrument to make balance sheet masterplate by hand by user (be balance tableau format, project, associated calculated relationship etc. in table), then call and read this form by energy management subsystem program, and the data in energy resource system database table are pressed to item location, insert one by one position corresponding in balance sheet masterplate.The invention provides a kind of complete Energy Sources Equilibrium method based on comprehensive energy consumption judgement, according to the feature of tandem type grey neural network judgment models and their Modeling Theory, it is successfully applied in enterprise energy management system, for instructing the consumption of enterprise energy and scheduling that the theoretical foundation of science is provided.For enterprise provides a kind of automatic calculating method of enterprise energy balance, in enterprise energy management system, realize this method by programming and can auxiliary enterprises relevant departments formulate Energy Balance Sheet.Because any intelligent algorithm has its limitation, the present invention has also considered artificial adjustment to automatic algorithms and verification scheme afterwards, from but the establishment of enterprise energy balance sheet has more dirigibility and high efficiency, reflect more comprehensively production, the consumption of the various energy, the equilibrium relation of distribution, understand the self-supporting degree of the various energy, for establishment ENERGY PLANNING provides foundation; Better investigate energy resource system processing transfer process, the quantity equilibrium relation of input and output, provides basic data for analyzing energy processing conversion efficiency.
Summary of the invention
For the problems referred to above, the object of the invention is to according to enterprise historical by energy situation, in conjunction with not needing complete or strictly buying, the production schedule accurately, just can automatic analysis enterprise energy and the equilibrium relation of product, help the enterprise better production to the energy, distribution, supply, accumulating and consumption overall process is scientifically planned, supervision, monitoring, and auxiliary enterprises is formulated procurement plan and the production schedule.
To achieve these goals, method provided by the invention comprises that step is as follows:
Step 1, record and compare the historical data of enterprise's resource product over the years, comprise product information, manufacturing resource information and technique information, select the energy medium flow direction, unit consumption, select secondary energy production and the flow direction thereof, select capacity and the inventory status of energy medium starting point, terminal, to Product Process process model building, thereby in database, build table, typing pattern of enterprises information, editor's consumption information, draw craft flow process, real-time data collection and process equipment binding;
Step 2, selects the historical data period, filters bad data, and described bad data comprises wrong data, the bad data in a large amount of historical datas or the data that are not true to type; Select the optimum data that obtain after filtering to consume the input parameter of judgment models as enterprise energy;
Step 3, comprehensively judges enterprise energy consumption based on tandem type grey neural network measuring method;
Step 4, by calculating the energy consumption data of enterprise energy effective rate of utilization, complementary energy resource rate, each major product, further calculate business unit's product yield comprehensive energy consumption, business unit's output value comprehensive energy consumption, enterprise energy utilization factor, utilize classification analysis method that enterprise's energy loss is divided into inevitable loss and unnecessary loss two classes: wherein inevitably loss is the objective loss under state-of-the-art, and this loss cannot solve except updating the equipment and reforming technique; Wherein unnecessary loss is unreasonable, not due loss, and it normally by poor management, misoperation and the loss that causes can reduce or avoid; Set up the automatic power balance model based on multi-objective genetic algorithm, select above-mentioned each enterprise energy judge index as input parameter, calculate enterprise energy balance index;
Step 5, provides display interface to show self-poise result to user, and in the time there is irrational balance index, user gives the alarm; It gives the alarm to user in following two kinds of situations: algorithm model exists leak or causes algorithm to be carried out because starting condition is poor does not restrain, and cannot complete normal deterministic process; Or algorithm model is complete effectively, and there is defect or imbalance in enterprise aspect energy depot storage, procurement plan or the production schedule;
Step 6, prints output to balance index;
Step 7, the balance index data that above-mentioned measuring and calculating obtained in conjunction with the actual situation about occurring of enterprise's production are analyzed, and calculate the error of measurement index, thereby model is rationally adjusted.
The method is preserved procurement plan, is generated the historical data of plan and the inventory information of the energy, and sets it as verification condition and carry out balance index verification.
The method can be used n times of variance method while filtering bad data.
The method can be used ladder algorithm while filtering bad data.
The method gives the alarm to user in following two kinds of situations: algorithm model exists leak or causes algorithm to be carried out because starting condition is poor does not restrain, and cannot complete normal deterministic process; Or algorithm model is complete effectively, and there is defect or imbalance in enterprise aspect energy depot storage, procurement plan or the production schedule.
The balance index that the method also can obtain measuring and calculating is checked.
Embodiment
Describe the present invention below in conjunction with specific embodiment, but not as a limitation of the invention.
Most domestic enterprise still adopts manual in Excel establishment generation Energy Balance Sheet at present, or some companies are mainly that first to utilize Excel instrument to make balance sheet masterplate by hand by user (be balance tableau format, project, associated calculated relationship etc. in table), then call and read this form by energy management subsystem program, and the data in energy resource system database table are pressed to item location, insert one by one position corresponding in balance sheet masterplate.In order to solve these more loaded down with trivial details, to lack the Energy Sources Equilibrium method of extensibility problems, the present invention proposes a kind of automatic calculating method of enterprise energy balance, in enterprise energy management system, realize this method by programming and can auxiliary enterprises relevant departments formulate Energy Balance Sheet.Because any intelligent algorithm has its limitation, the present invention has also considered artificial adjustment to automatic algorithms and verification scheme afterwards, from but the establishment of enterprise energy balance sheet has more dirigibility and high efficiency, reflect more comprehensively production, the consumption of the various energy, the equilibrium relation of distribution, understand the self-supporting degree of the various energy, for establishment ENERGY PLANNING provides foundation; Better investigate energy resource system processing transfer process, the quantity equilibrium relation of input and output, provides basic data for analyzing energy processing conversion efficiency.Concrete operations are as follows:
Step 101: technological process modeling.
Understand by the production run to enterprise, the historical data that enterprise is over the years is carried out to depth analysis, sum up the selective rules of job operation, incidence relation between selection foundation and geological information, technique information and the manufacturing resource information of device resource, feature and the rule of different characteristic technique are described, the energy medium flow direction, unit consumption are described, secondary energy production and the flow direction, capacity and the inventory status etc. of energy medium starting point, terminal.From the angle of systems organization, enterprise's technological process is set up to the model of procedure-oriented planning, foundation comprises the model of process of product information, manufacturing resource information, technique information, realize product information model, manufacturing resource information model is associated with technique information model, and then realize enterprise's technological process integrated management and distribute rationally, be better the energy-saving and cost-reducing decision-making foundation that provides.
Step 102: buying, the production schedule are obtained.
The inventory information of procurement plan and generation plan and the energy is formulated energy balancing plan for enterprise vital effect, by obtaining these information with the data-interface mode of other system or the mode of manual entry, can greatly improve the precision of energy balancing plan.But the obtaining not necessarily of this partial data in the present invention, its information can be used as that amount to be asked judges by energy resource consumption and automatic power balanced algorithm automatic filling; But relevant departments should keep the authenticity and integrity of historical data, so that the sustainability of Energy Sources Equilibrium, because the verification of step 109 balance index of the present invention needs real historical data as verification condition.
Step 103: historical data screening.
In conjunction with the actual conditions choose reasonable historical data period in ready to balance cycle, then apply n times of variance method, staircase method scheduling algorithm filtration bad data, in order to avoid Outliers has a negative impact to judgment models.The optimum data of having filtered are kept in to the input parameter that is used as enterprise energy consumption judgment models.
Bad data mainly refers to unavoidable some wrong data, bad data or the data that are not true to type in a large amount of historical datas.In can imagination figure, which departs from the far and isolated point in intensive data district, and these points do not possess " regularity ".Mostly 3 times of variance methods or staircase method are well to process the method for bad data.
Step 104: energy consumption comprehensively judges.
In the time of establishment enterprise energy balancing programme, must judge the demand of the energy and supply, to arrange as early as possible, provide in time the enough energy, continue steady development to ensure that enterprise produces.Energy judgement is one and involves a wide range of knowledge, technical strong element task, carry out energy judgement, not only to investigate fully, understand fully the history of economy and energy, present situation and development trend, but also will be by means of reasoning from logic and mathematical measure, estimate, calculate the demand of the energy in following a period of time, clearly will there is any variation in demand side, with the investment of overall arrangement energy construction, project, transport and layout, following energy supply amount and the development need of enterprise are adapted, that the inherence of improving Enterprise Integrated competitive power requires and only way.Therefore the science judgment of, carrying out the energy is a most important strategic tasks in enterprise energy management.
The present invention adopts a kind of method based on the judgement of tandem type grey neural network, and to enterprise energy, consumption judges, select gray theory and artificial neural network theories to combine, mainly consider that gray theory and artificial neural network theories have following complementarity: artificial neural network has the ability of approaching arbitrary function, but sometimes because the details of too approaching on energy demand curve affects generalization ability.Grey determination methods is not suitable for approaching complicated nonlinear function, but can judge preferably the general trend that energy demand changes; Although artificial neural network has the ability of approaching arbitrary function in theory, precondition is to have abundant hidden node, and more hidden node can cause neural network parameter to increase, and correspondingly needs more various original neural network training.In energy demand short-term judgement, due to than being easier to obtain a large amount of samples, the hidden nodes of artificial neural network can be a lot, thereby can give full play to the advantage of artificial neural network.But in the energy, in long-term demand estimation, the quantity of sample is relatively less, and therefore the advantage of artificial neural network is difficult to give full play to.Grey determination methods can utilize few sample to carry out modeling and judgement.
Step 105: automatic power balance.
Enterprise's energy equilibrium is the energy equilibrium taking enterprise as object, comprises the income of various energy and the balance of expenditure, consumes the quantity balance between effective utilization and loss.Enterprise's Energy Balance Analysis is exactly according to the result of enterprise's energy equilibrium, enterprise comprehensively and systematically analyzed by energy situation, so that clear and definite enterprise energy utilizes degree, and the reason of size, distribution and the loss occurrence of energy loss.Enterprise energy balance Main Function has: can find out enterprise's power consumption situation, understand fully Energy Mix and the ins and outs thereof of enterprise, thereby understand size and distribution, the reason of loss and the problem of existence of enterprise energy loss, be beneficial to take conservation measures; Can grasp enterprise's energy level, grasp the effective rate of utilization of the various energy of enterprise, complementary energy resource rate, and the energy consumption data of each major product, for formulating rational energy resource consumption quota, provide scientific evidence for improving energy system and regulation; Carry out enterprise's energy equilibrium to strengthening business administration, improve managerial personnel's technical merit, the technological transformation of promotion enterprise etc. plays facilitation.
Carry out enterprise's Energy Balance Analysis, it is mainly the reason that causes energy dissipation in order to find, to formulate corresponding conservation measures and management system, therefore, the emphasis of analyzing certainly will drop in every energy loss of enterprise, conventionally the classification analysis method adopting is that enterprise's energy loss is divided into inevitably and unnecessary two classes: inevitably loss refers to the objective loss under state-of-the-art, and this loss is insurmountable except updating the equipment and reforming technique; Unreasonable, not due loss that unnecessary loss refers to, it because of mismanagement, misoperation, runs, emits, leaks the loss causing often, and this loss can be avoided or be reduced by certain work.By carrying out Energy Balance Analysis, can there is a basic appraisal to the total energy consumption level of enterprise, be about to several evaluation indexes of reflection enterprise energy consumption level, as unit product output comprehensive energy consumption, unit output value comprehensive energy consumption, the value of the indexs such as enterprise energy utilization factor is with international, domestic, manufacturing enterprise of the same trade compares inside the province, compared with this enterprise historical highest level, the own residing level of judgement or find out the gap of existence, and then judge industry energy conservation potentiality place, from technological process, equipment, organization of production, operative technique, technical factor and the managing defect of energy dissipation found out in the aspects such as management system, improved.
The production of enterprise energy, distribute, supply, accumulating and process of consumption and product structure, the relation of output and cost is a complicated multiple goal equilibrium relation, the present invention carries out modeling to enterprise energy equilibrium relation on a large amount of enterprise energy of accumulation and the basis of product incidence relation, and progressively find out a kind of method of automatic power balance of the multi-objective genetic algorithm based on modified form, it is a kind of enterprise energy balance method based on multi-objective genetic algorithm, with enterprise energy judge index by default parameter set up model, automatically calculate the Energy Sources Equilibrium index of enterprise.
Step 106: balance index shows and reports to the police.
After index is calculated, the invention provides the display interface of the constraint condition of self-poise result and related process link, and to the displaying of reporting to the police of the irrational link of balance index, the reference of confession relevant departments.The demonstration of balance index and the effect of warning link in method provided by the invention are extremely important.Conventionally producing the reason of reporting to the police has two: the first, and algorithm model exists leak or causes algorithm to be carried out because starting condition is poor does not restrain, and cannot complete normal deterministic process; The second, algorithm model is complete effectively, is that enterprise energy tank farm stock, procurement plan or the production schedule exist defect or imbalance.If warning reason is for the former, can get information about very much by warning message the problem that algorithm model exists, for optimizing of algorithm model provides effective foundation; If warning reason is the latter, by the warning message problem that current enterprise production process exists of can clearly making a comment or criticism, for plan adjustment or the rectification of enterprise's next stage provide favourable evidence.
Step 107: manually adjust balance index.
Because judgment models is to be based upon in certain theoretical foundation, produce at enterprise practical under the operating mode of this complexity, occur unavoidably that judge index is too unilateral, regional area or the problem such as link is not accurate enough.Therefore, directly self balancing index, directly still there is greater risk in application and the production schedule of next stage.The index that automatic system Energy Sources Equilibrium algorithm is produced is the expert's reference for enterprise energy balance aspect as initial value, through expert's comparative analysis, specify problem and balance index is rationally adjusted after will greatly improve the precision of balance index.Also can check algorithm model according to expert's experience, thereby further complete judgment models simultaneously.Generally, the initial stage expert's who carries out at algorithm the effect of enterprise energy equilibrium system is most important, constantly perfect along with algorithm, and algorithm model role increases gradually.
Step 108: balance index is determined.
After expert's check, final enterprise energy balancing programme is clearly got off to form form, the then leader of printing reports relevant departments signature.Finally arrange relevant departments according to the energy balancing plan of next stage purchase, the activity in production such as production.
Step 109: balance index verification.
After an energy balancing plan end cycle, produce actual situation about occurring in conjunction with enterprise and be analyzed with judged result before.Calculate the error condition of judge index, search the reason that causes the link that judgment bias is larger and produce deviation, thereby find model drawback, model is reasonably adjusted.Constantly accumulate managerial experience and finally set up the management system of the judgement of a set of complete energy consumption and automatic power balance by judgement, verification repeatedly.
Core value of the present invention has been to provide a whole set of Energy Sources Equilibrium system, from start most can guard system data analysis, data filtering, the energy management system software that is current enterprise to complete processes such as automatic energy consumption judgement, automatic power balance, finally balance index warning, manual settings do not possess.The Energy Sources Equilibrium of enterprise is related to complexity, and most enterprises are all still in labour statement's stage.Be difficult to complete automatic calculating and the artificial concept of adjusting.Just because of the complicacy of enterprise energy balance and personalized strong, we,, having proposed after self balancing algorithm and the part of the manual intervention increasing, increase software or invent theoretical preciseness.
Certainly; the present invention can also have other numerous embodiments; in the situation that not deviating from spirit of the present invention and essence thereof, those skilled in the art can make according to the present invention various corresponding changes and distortion, but these corresponding changes and distortion all should belong to protection scope of the present invention.
Claims (6)
1. the enterprise energy balance method based on comprehensive energy consumption judgement, it comprises following steps:
Step 1, record and compare the historical data of enterprise's resource product over the years, comprise product information, manufacturing resource information and technique information, select the energy medium flow direction, unit consumption, select secondary energy production and the flow direction thereof, select capacity and the inventory status of energy medium starting point, terminal, to Product Process process model building, thereby in database, build table, typing pattern of enterprises information, editor's consumption information, draw craft flow process, real-time data collection and process equipment binding;
Step 2, selects the historical data period, filters bad data, and described bad data comprises wrong data, the bad data in a large amount of historical datas or the data that are not true to type; Select the optimum data that obtain after filtering to consume the input parameter of judgment models as enterprise energy;
Step 3, comprehensively judges enterprise energy consumption based on tandem type grey neural network measuring method;
Step 4, by calculating the energy consumption data of enterprise energy effective rate of utilization, complementary energy resource rate, each major product, further calculate business unit's product yield comprehensive energy consumption, business unit's output value comprehensive energy consumption, enterprise energy utilization factor, utilize classification analysis method that enterprise's energy loss is divided into inevitable loss and unnecessary loss two classes: wherein inevitably loss is the objective loss under state-of-the-art, and this loss cannot solve except updating the equipment and reforming technique; Wherein unnecessary loss is unreasonable, not due loss, and it normally by poor management, misoperation and the loss that causes can reduce or avoid; Set up the automatic power balance model based on multi-objective genetic algorithm, select above-mentioned each enterprise energy judge index as input parameter, calculate enterprise energy balance index;
Step 5, provides display interface to show self-poise result to user, and in the time there is irrational balance index, user gives the alarm; It gives the alarm to user in following two kinds of situations: algorithm model exists leak or causes algorithm to be carried out because starting condition is poor does not restrain, and cannot complete normal deterministic process; Or algorithm model is complete effectively, and there is defect or imbalance in enterprise aspect energy depot storage, procurement plan or the production schedule;
Step 6, prints output to balance index;
Step 7, the balance index data that above-mentioned measuring and calculating obtained in conjunction with the actual situation about occurring of enterprise's production are analyzed, and calculate the error of measurement index, thereby model is rationally adjusted.
2. enterprise energy balance method as claimed in claim 1, is characterized in that: the method is preserved procurement plan, generated the historical data of plan and the inventory information of the energy, and sets it as verification condition and carry out balance index verification.
3. enterprise energy balance method as claimed in claim 1, is characterized in that: the method can be used n times of variance method while filtering bad data.
4. enterprise energy balance method as claimed in claim 1, is characterized in that: the method can be used ladder algorithm while filtering bad data.
5. enterprise energy balance method as claimed in claim 1, it is characterized in that: the method gives the alarm to user in following two kinds of situations: algorithm model exists leak or causes algorithm to be carried out because starting condition is poor does not restrain, and cannot complete normal deterministic process; Or algorithm model is complete effectively, and there is defect or imbalance in enterprise aspect energy depot storage, procurement plan or the production schedule.
6. enterprise energy balance method as claimed in claim 2, is characterized in that: the balance index that the method also can obtain measuring and calculating is checked.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410474185.XA CN104200337A (en) | 2014-09-18 | 2014-09-18 | Enterprise energy balancing method based on comprehensive energy consumption judgment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410474185.XA CN104200337A (en) | 2014-09-18 | 2014-09-18 | Enterprise energy balancing method based on comprehensive energy consumption judgment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104200337A true CN104200337A (en) | 2014-12-10 |
Family
ID=52085626
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410474185.XA Pending CN104200337A (en) | 2014-09-18 | 2014-09-18 | Enterprise energy balancing method based on comprehensive energy consumption judgment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104200337A (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104680313A (en) * | 2015-02-10 | 2015-06-03 | 北京国电通网络技术有限公司 | Method for monitoring and screening urban high-energy-consumptive enterprises |
| CN104992298A (en) * | 2015-07-16 | 2015-10-21 | 南京朗坤软件有限公司 | Energy management system |
| CN105550941A (en) * | 2015-12-16 | 2016-05-04 | 国家电网公司 | Communication system device and running mode analysis evaluation method |
| CN105589834A (en) * | 2015-12-21 | 2016-05-18 | 云南电网有限责任公司电力科学研究院 | Method for determining energy consumption of unit product based on energy consumption of unit output value |
| CN105808960A (en) * | 2016-03-16 | 2016-07-27 | 河海大学 | Grounding grid erosion rate prediction method based on grey neural network combination model |
| CN107220747A (en) * | 2017-04-27 | 2017-09-29 | 国电龙源节能技术有限公司 | The analysis method and system of energy loss in a kind of energy consumption system |
| CN112417373A (en) * | 2020-06-01 | 2021-02-26 | 浙江中控技术股份有限公司 | Computing method and device for energy balance of chemical enterprises |
| CN113344349A (en) * | 2021-05-27 | 2021-09-03 | 广州远正智能科技股份有限公司 | Energy right data acquisition and transaction system, method and platform for industrial manufacturing enterprise |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104102212A (en) * | 2014-07-29 | 2014-10-15 | 浙江中控软件技术有限公司 | Dispatching method, apparatus and system for gas and steam system in iron and steel enterprises |
-
2014
- 2014-09-18 CN CN201410474185.XA patent/CN104200337A/en active Pending
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104102212A (en) * | 2014-07-29 | 2014-10-15 | 浙江中控软件技术有限公司 | Dispatching method, apparatus and system for gas and steam system in iron and steel enterprises |
Non-Patent Citations (5)
| Title |
|---|
| 付加锋 等: "基于灰色神经网络的能源消费组合预测模型", 《资源开发与市场》 * |
| 寇纪淞 等: "国家能源平衡分析与预测网络信息系统的设计与应用", 《系统工程理论与实践》 * |
| 戴朝晖: "钢铁企业基于消耗预测模型的煤气自动平衡方法及其应用", 《中国优秀硕士学位论文全文数据库(硕士)工程科技Ⅰ辑》 * |
| 聂秋平 等: "一种基于消耗预测的钢铁企业煤气平衡与数据校正方法", 《化工自动化及仪表》 * |
| 聂秋平: "钢铁企业能源实绩平衡与优化调度策略及应用研究", 《中国博士学位论文全文数据库 工程科技Ⅰ辑》 * |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104680313A (en) * | 2015-02-10 | 2015-06-03 | 北京国电通网络技术有限公司 | Method for monitoring and screening urban high-energy-consumptive enterprises |
| CN104992298A (en) * | 2015-07-16 | 2015-10-21 | 南京朗坤软件有限公司 | Energy management system |
| CN105550941A (en) * | 2015-12-16 | 2016-05-04 | 国家电网公司 | Communication system device and running mode analysis evaluation method |
| CN105589834A (en) * | 2015-12-21 | 2016-05-18 | 云南电网有限责任公司电力科学研究院 | Method for determining energy consumption of unit product based on energy consumption of unit output value |
| CN105589834B (en) * | 2015-12-21 | 2018-05-04 | 云南电网有限责任公司电力科学研究院 | A kind of method that energy consumption of unit product is determined based on the energy consumption per unit of output value |
| CN105808960A (en) * | 2016-03-16 | 2016-07-27 | 河海大学 | Grounding grid erosion rate prediction method based on grey neural network combination model |
| CN105808960B (en) * | 2016-03-16 | 2018-05-08 | 河海大学 | Ground net corrosion rate Forecasting Methodology based on Grey production fuction |
| CN107220747A (en) * | 2017-04-27 | 2017-09-29 | 国电龙源节能技术有限公司 | The analysis method and system of energy loss in a kind of energy consumption system |
| CN112417373A (en) * | 2020-06-01 | 2021-02-26 | 浙江中控技术股份有限公司 | Computing method and device for energy balance of chemical enterprises |
| CN113344349A (en) * | 2021-05-27 | 2021-09-03 | 广州远正智能科技股份有限公司 | Energy right data acquisition and transaction system, method and platform for industrial manufacturing enterprise |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104200337A (en) | Enterprise energy balancing method based on comprehensive energy consumption judgment | |
| CN102156463B (en) | Planning management control system for construction energy | |
| CN101619850B (en) | Dispatching method and dispatching system based on load online forecasting of thermoelectric power system | |
| CN105046591A (en) | Method for evaluating electricity utilization energy efficiency of power consumer | |
| Pan et al. | Construction material supply chain process analysis and optimization | |
| CN104657788A (en) | Method for predicting key industrial electricity consumption based on industrial condition index | |
| Zhang et al. | How to reduce energy consumption by energy audits and energy management: The case of province Jilin in China | |
| CN105469194A (en) | Power distribution network main equipment operation efficiency evaluation method based on load duration curve | |
| CN104573877A (en) | Power distribution network equipment demand prediction and quantitative method and system | |
| CN113760625B (en) | Evaluation method and monitoring system for model predictive controller performance | |
| CN115689177A (en) | Machine learning-based intelligent scheduling strategy method for transformer maintenance plan | |
| CN108764626B (en) | Energy-saving diagnosis method and device | |
| CN109507961A (en) | A kind of semiconductor production line dynamic load uniform feeding control method | |
| CN113822547A (en) | Refined demand side management comprehensive information platform system and management method | |
| CN108921425A (en) | A kind of method, system and the server of asset item classifcation of investment | |
| Raiko et al. | Evaluation of quality level in managing the development of industrial enterprises | |
| CN106651148A (en) | Enterprise operational indicator target quantity determining method and device | |
| CN111738585A (en) | Thermal power plant coal storage quantity grading early warning method for power grid dispatching | |
| CN112766726A (en) | Method for making power grid operation standard cost adjustment coefficient | |
| CN113807573A (en) | Construction prediction analysis method and system based on data management and three-dimensional search | |
| CN201364596Y (en) | Logistic cooperating distribution simulation system for port equipment manufacture company | |
| CN112633660A (en) | Multi-angle unemployment risk early warning device and method | |
| CN114004384A (en) | Project progress deviation early warning method and device | |
| Gafurov et al. | Existing ways to increase energy efficiency in industrial enterprises | |
| Chen et al. | [Retracted] Tracking Control of the Dynamic Input-Output Economic System Based on Data Fusion |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C53 | Correction of patent of invention or patent application | ||
| CB03 | Change of inventor or designer information |
Inventor after: Zhang Lei Inventor after: Liang Lei Inventor after: Wang Jing Inventor after: Guo Qiang Inventor before: Zhang Lei Inventor before: Liang Lei Inventor before: Zheng Xiaotong |
|
| COR | Change of bibliographic data |
Free format text: CORRECT: INVENTOR; FROM: ZHANG LEI LIANG LEI ZHENG XIAOTONG TO: ZHANG LEI LIANG LEI WANG JING GUO QIANG |
|
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20141210 |
|
| WD01 | Invention patent application deemed withdrawn after publication |