EP3857429A1 - Procédé assisté par ordinateur pour la simulation d'un fonctionnement d'un système énergétique ainsi que système de gestion d'énergie - Google Patents

Procédé assisté par ordinateur pour la simulation d'un fonctionnement d'un système énergétique ainsi que système de gestion d'énergie

Info

Publication number
EP3857429A1
EP3857429A1 EP20703687.2A EP20703687A EP3857429A1 EP 3857429 A1 EP3857429 A1 EP 3857429A1 EP 20703687 A EP20703687 A EP 20703687A EP 3857429 A1 EP3857429 A1 EP 3857429A1
Authority
EP
European Patent Office
Prior art keywords
energy
component
sum
calculating
energy consumption
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
Application number
EP20703687.2A
Other languages
German (de)
English (en)
Inventor
Sebastian THIEM
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Siemens AG
Original Assignee
Siemens AG
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Siemens AG filed Critical Siemens AG
Publication of EP3857429A1 publication Critical patent/EP3857429A1/fr
Pending legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/10—Geometric CAD
    • G06F30/17—Mechanical parametric or variational design
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2113/00—Details relating to the application field
    • G06F2113/08—Fluids
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/06—Power analysis or power optimisation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/30—Circuit design
    • G06F30/36—Circuit design at the analogue level
    • G06F30/367—Design verification, e.g. using simulation, simulation program with integrated circuit emphasis [SPICE], direct methods or relaxation methods

Definitions

  • the invention relates to a computer-aided method for simulating the operation of an energy system.
  • the simulation enables the most efficient operation of the energy system.
  • the invention further relates to an energy management system for simulating the operation of the energy system.
  • an attempt is made to operate an energy system as efficiently as possible, for example as energetically as possible.
  • the possibilities for optimization are typically limited to the components that are already installed or exist. The existing energy system thus specifies the boundary conditions with regard to optimization.
  • the operation of the energy system is optimized manually.
  • the design of the energy system is redetermined using manual optimization. This is done for example by means of an energy system design method or by means of an energy system design. Incorrect dimensioning, that is to say overdimensioning or undersizing of one of the components of the energy system, cannot be determined subsequently, that is to say for existing or installed energy systems.
  • the object of the present invention is to determine an incorrect dimensioning of a component of an already existing energy system.
  • the object is achieved by a method with the features of independent claim 1 and by an energy management system with the features of independent claim 9.
  • Advantageous refinements and developments of the invention are specified in the dependent patent claims.
  • the computer-aided method according to the invention for simulating the operation of an energy system with at least one component comprises at least the following steps:
  • the problem of the present invention is solved by formulating a (mathematical) optimization problem based on an energy system design problem of the energy system.
  • the energy system or the operation of the energy system is formulated or modeled as an optimization problem.
  • the variables of the optimization problem are at least the energy Energy uptake and energy output of the component as well as the shadow prices associated with the energy intake and energy output.
  • the values of the variables mentioned are therefore calculated as optimally as possible by solving the optimization problem.
  • the energy consumption, the energy output as well as the shadow prices associated with the energy consumption and energy output are calculated by numerically solving the optimization problem.
  • the existing design of the energy system is taken into account, for example via boundary conditions or additional conditions of the optimization problem.
  • the energy system is typically modeled using a target function of the optimization problem, the target function comprising at least the variables and parameters mentioned.
  • the first and second sum are calculated from the energy consumption, energy output and associated shadow prices calculated by solving the optimization problem (or by means of their calculated values).
  • the first sum is formed by means of the sum of the energy consumption weighted for the associated shadow prices.
  • the second sum is formed from the sum of the energy levies weighted according to the associated shadow prices.
  • the incorrect dimensioning size of the component is calculated at least by subtracting the second sum from the first sum.
  • a subtraction of the first sum from the second sum is also conceivable and equivalent to the present invention.
  • the investment costs and the operating costs of the component are also taken into account.
  • the operating costs and investment costs can be taken into account in such a way that they are added to the first sum, for example.
  • the first sum includes all energy consumption weighted with the associated shadow prices of the component.
  • the operating costs and investment costs can thus also be interpreted as a price-weighted energy consumption.
  • the incorrect dimensioning of the component depends on the difference between the first sum and the second sum, as well as on the operating and investment costs of the component.
  • An incorrect dimensioning of the component that is to say an oversizing or undersizing of the component, can be determined by means of the incorrect dimensioning size.
  • the overdimensioning or underdimensioning of the component is determined based on or as a function of the calculated incorrect dimensioning.
  • An advantage of the method according to the invention is that it can be carried out for already existing energy systems. It can thus be determined whether a component of the energy system is oversized or under-dimensioned under real conditions or boundary conditions within the energy system.
  • a further advantage of the method according to the invention is that it can also be used to determine the best possible design of the component, that is to say a design in which the component is not significantly undersized and not oversized. For example, this is done using a new energy system design. If a component of the energy system includes several units, for example, based on the value of the incorrectly dimensioned size, the addition of an additional unit or the dismantling of one of the installed units can be considered. In other words, based on the value of the incorrect dimensioning size, the component can be enlarged or reduced in terms of its dimensioning, for example its nominal output and / or capacity.
  • the most efficient adjusting screws for one can thus be emblematic optimal operation or the best possible design of the existing energy system.
  • the energy management system according to the invention for simulating the operation of an energy system with at least one component comprises at least
  • the method according to the invention has the same and equivalent advantages of the energy management system according to the invention.
  • the overdimensioning or underdimensioning of the component is determined as a function of the sign of the calculated incorrectly dimensioned quantity.
  • the mis-sizing quantity can have a negative or positive value.
  • the incorrect dimensioning size is determined or determined in such a way that if the value is positive, the dimensioning of the component of the energy system is undersizing and if the value is negative, the dimensioning is undersized.
  • the incorrect dimensioning size can be converted into a large number of mathematically equivalent sizes or expressions.
  • the only decisive factor is that an oversizing or an undersizing of the component can be determined and differentiated based on the incorrect dimensioning size, in particular its sign.
  • the sign of the incorrect dimensioning size is particularly advantageous for this.
  • the component of the energy system is thus optimally designed or dimensioned if the incorrect dimensioning value has the value zero.
  • the incorrect dimensioning variable has a non-zero value, that is to say a positive or negative non-zero value, it is advantageous to dimension the component smaller if the sign of the calculated incorrectly dimensioning variable is positive or larger to be dimensioned if the sign of the calculated incorrect dimensioning quantity is negative.
  • a corresponding inverse behavior is obtained by multiplying the incorrect dimensioning quantity by a negative number, in particular by -1.
  • the operating costs and the investment costs are determined as a function of the nominal power of the component.
  • the nominal power of the component can also be called the capacity of the component and essentially corresponds to the dimensioning of the component.
  • the operating costs and the investment costs of the component depend on its dimensions or capacity.
  • the dimensioning or the capacity of the physically installed that is to say the existing component
  • the operating costs and investment costs of the component depend on its capacity or its nominal output. This dependency is also taken into account when calculating the incorrect dimensioning size. This advantageously ensures that the method relates to the actually installed or existing energy system.
  • the operating costs and investment costs can advantageously be saved using the energy management system.
  • the operating costs and investment costs are known to the energy management system.
  • their value is restricted to the actually installed or existing physical nominal power or capacity of the component by means of a secondary condition.
  • the nominal power which forms a variable of the optimization problem, is limited to its physical value.
  • finding a solution to the optimization problem by means of numerical methods can advantageously be improved, in particular accelerated. In particular, this can save computer resources.
  • vall DT at time n when the jth energy output in
  • Time interval DT at time n as the shadow price associated with the ith energy intake at time n and the shadow price associated with the jth energy output at time n.
  • the first sum is essentially the dot product between the vector formed from the energy consumption with the vector formed from the shadow prices associated with the energy consumption.
  • totaling is carried out over all times or time periods.
  • C in can also be used as
  • T denotes the time range of the optimization (optimization horizon), for example a year, a month or a day (English: day-ahead), and where the vector of energy consumption,
  • the energy consumption and energy deliveries as well as shadow prices are typically time-dependent, that is, a function of t.
  • the operation of the energy system is simulated over a year, over a month and / or over a day.
  • the optimization horizon already mentioned is a year, a month, and / or a day.
  • An optimization horizon of one year is particularly preferred.
  • the year can be further divided into smaller time ranges, for example hours.
  • the energy management system comprises means for recording energy consumption that is past or historical in terms of the calculated energy consumption and energy output and energy output of the component of the energy system.
  • Figure 1 is a circuit diagram of an energy system
  • Figure 2 is a Sankey diagram of the energy system.
  • FIG. 1 shows a circuit diagram of the energy system 1.
  • the components 11, ..., 19 of the energy system 1, the energy requirements 31, 32, 33 (loads) and forms of energy 21, ..., 26 and their dependencies can be seen .
  • the energy system 1 includes, for example, a natural gas network 11, a photovoltaic system 12, a power network 13 for feeding into the energy system 1, a combined heat and power plant 14, a gas boiler 15, a compression refrigerator 16, and a power network 17 Withdrawal from the energy system 1, an absorption refrigerator 18 and a cold store 19. Further components can be provided.
  • the components 11, ..., 19 of the energy system 1 are coupled with regard to their energy consumption and their energy output.
  • natural gas 21 is provided for the combined heat and power plant 14 and the gas boiler 15 by means of the natural gas network 11.
  • the combined heat and power unit 14 and the gas spoiler 15 are operated by means of the natural gas 21.
  • the block The combined heat and power plant 14 and the gas boiler 15 convert the natural gas 21 into electrical energy, that is to say electricity 22, and heat 23.
  • the combined heat and power plant 14 provides electricity 22 and heat 23.
  • the gas boiler 15 provides heat 23.
  • the photovoltaic system 12 and the power grid 13 also provide electrical energy, that is to say electricity 22.
  • the electricity 22 and the heat 23 are used within the energy system by further components.
  • the electrical current 22 is used to cover the electrical load 31, to operate the compression refrigerator 16 and / or to be fed into the power supply 17.
  • the heat 23 provided by the combined heat and power unit 14 and the gas boiler 15 can be used to cover the heat load 32 and / or to operate the absorption refrigerator 18.
  • the cold 24 is provided by means of the compression refrigerator 16 and the absorption refrigerator 18.
  • the cold 24 can be used to cover the cooling requirement 33 or cooling load 33.
  • the cold 24 can be stored or buffered by means of the cold store 19.
  • FIG. 1 thus illustrates the complex dependencies of the components 11,... 19 of the energy system 1 with regard to the energy flows, that is to say with regard to their energy consumption and energy output.
  • the absorption refrigeration machine 18 has the heat 23 provided by the combined heat and power unit 14 and the gas boiler 15 as energy consumption.
  • the absorption refrigerator 18 has the cold 24 as the energy output.
  • the cold 24 can in turn be stored by means of the cold store 19.
  • the present invention makes it possible, for example, to dimension the absorption refrigerator 18, for example its nominal output or capacity. did to optimize their energy consumption, in this case the heat 23, and their energy output, in this case the cold 24. This is done by means of the incorrect dimensioning of the absorption refrigerator 18, by means of which an overdimensioning or an undersizing of the absorption refrigerator 18 can be recognized. From the incorrectly dimensioned size of the absorption refrigerator 18 it can thus be seen whether an enlargement (undersizing of the absorption refrigerator 18) or a reduction (overdimensioning of the absorption refrigerator 18) is advantageous.
  • FIG. 2 shows a Sankey diagram of the energy system 1 after the operation of the energy system 1 has been optimized by means of the method according to the invention or one of its configurations. Annual planning was carried out, that is, the operation of energy system 1 was calculated and optimized for the optimization period of one year in accordance with the present invention. In other words, the optimization horizon is one year.
  • FIG. 2 also shows the same elements as FIG. 1.
  • the components 11, ..., 19 of the energy system 1 are in equilibrium in the solution shown, that is to say they have a value of incorrect dimensioning of zero.
  • the energy consumption or energy output of the components 11,..., 19 of the energy system 1 specified below are purely exemplary and the invention is not restricted to the stated values. The values are only intended to exemplify the energy flows, that is to say the energy inputs and energy outputs, within the energy system 1.
  • the energy consumption and energy output are shown in FIG. 2 by the thickness of the connecting hoses between the Symbolizes elements of Figure 2, for example in the unit megawatt hours per year (MWh / a).
  • each component 11, ..., 19 has a maximum nominal power, for example in the unit kilowatt (kW).
  • the natural gas network 11 provides approximately 2656 MWh / a of energy.
  • the natural gas 21 is converted into heat (approximately 1248 MWh / a) and into electrical energy 22 (approximately 770 MWh / a).
  • the photovoltaic system 12 provides approximately 44 MWh / a and the power grid 13 provides approximately 303 MWh / a of electrical energy 22 (electricity 22).
  • the electricity 22 and the heat 23 are used, for example, to cover the electrical load 31 and / or to operate the compression refrigerator 16 and / or are fed into the electricity network 13.
  • the heat 23 is used, for example, for the heat load 32
  • the waste heat 25 also results here.
  • the compression refrigeration machine 16 and the absorption refrigeration machine 18 provide the refrigeration 24. In this case, approximately 911 MWh / a of cold 24 are provided.
  • the cold 24 can be used to cover the cold load 33 and / or stored or buffered by means of the cold store 19.
  • the cold 26 also results.
  • the present invention therefore enables the optimal operation of an energy management system to be formulated as an energy system design problem, with inefficient components of the energy system using the incorrect dimensions. tion size, in particular on a non-zero value of the incorrect dimensioning size.
  • the method according to the invention and / or one of its refinements for example by means of annual planning and / or several day plans (English: day-ahead), can be used to determine, to check, to avoid incorrect dimensioning of the energy system or one or more of its components

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  • General Physics & Mathematics (AREA)
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Abstract

L'invention concerne un procédé assisté par ordinateur pour la simulation d'un fonctionnement d'un système énergétique (1) comprenant au moins un composant (11,...,19), qui comprend au moins les étapes suivantes : - modélisation du système énergétique (1) sous la forme d'un problème d'optimisation, le problème d'optimisation présentant au moins des consommations énergétiques et productions énergétiques des composants (11,...,19) ainsi que les prix virtuels associés respectivement aux consommations énergétiques et aux productions énergétiques comme variables d'optimisation; - calcul des consommations énergétiques, des productions énergétiques et des prix virtuels associés respectivement par une résolution numérique du problème d'optimisation; - calcul d'une première somme au moyen d'une somme des consommations énergétiques pondérée par les prix virtuels associés; - calcul d'une deuxième somme au moyen d'une somme des productions énergétiques pondérée par les prix virtuels associés; - calcul d'une grandeur de dimensionnement erroné des composants (11,...,19) au moyen d'une soustraction de la deuxième somme de la première somme, ainsi qu'au moyen des coûts d'investissement et des coûts d'exploitation des composants (11,...,19); et - détermination d'un sur-dimensionnement ou d'un sous-dimensionnement des composants (11,...,19) en fonction de la grandeur de dimensionnement erroné calculée. L'invention concerne en outre un système de gestion d'énergie pour la simulation d'un fonctionnement d'un système énergétique (1) comprenant au moins un composant (11,...,19).
EP20703687.2A 2019-01-22 2020-01-02 Procédé assisté par ordinateur pour la simulation d'un fonctionnement d'un système énergétique ainsi que système de gestion d'énergie Pending EP3857429A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102019200738.4A DE102019200738A1 (de) 2019-01-22 2019-01-22 Computergestütztes Verfahren zur Simulation eines Betriebes eines Energiesystems sowie Energiemanagementsystem
PCT/EP2020/050026 WO2020151927A1 (fr) 2019-01-22 2020-01-02 Procédé assisté par ordinateur pour la simulation d'un fonctionnement d'un système énergétique ainsi que système de gestion d'énergie

Publications (1)

Publication Number Publication Date
EP3857429A1 true EP3857429A1 (fr) 2021-08-04

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Application Number Title Priority Date Filing Date
EP20703687.2A Pending EP3857429A1 (fr) 2019-01-22 2020-01-02 Procédé assisté par ordinateur pour la simulation d'un fonctionnement d'un système énergétique ainsi que système de gestion d'énergie

Country Status (7)

Country Link
US (1) US20210390228A1 (fr)
EP (1) EP3857429A1 (fr)
KR (1) KR102614614B1 (fr)
CN (1) CN113316787A (fr)
AU (2) AU2020211656A1 (fr)
DE (1) DE102019200738A1 (fr)
WO (1) WO2020151927A1 (fr)

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Also Published As

Publication number Publication date
CN113316787A (zh) 2021-08-27
KR102614614B1 (ko) 2023-12-14
AU2020211656A1 (en) 2021-06-17
US20210390228A1 (en) 2021-12-16
KR20210100730A (ko) 2021-08-17
AU2023202081A1 (en) 2023-05-04
WO2020151927A1 (fr) 2020-07-30
DE102019200738A1 (de) 2020-07-23

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