CONVERSION / STORAGE PROCESS
Conversion/storage process - title
Conversion/Storage Process Component Model
Conversion/storage process - overview
Model Overview
Author / organization: S.Seidelt, D.Fehrenbach / EIFER
Domain:
- Thermal storage
- Energy conversion device
Intended application: Optimization of the overall energy system costs
Modelling of spatial aspects: Lumped (single device)
Model dynamics: Static
Model of computation: To be used by an optimization algorithm, Hourly steps of pivot years over a long-term planning horizon (for ex. 20-40 years)
Functional representation: Explicit
Conversion/storage process - input and output
Input and Output
Input variables :
- Real VarICAPY,P: invested capacity at period Y of a process P [MW]
- Real VarCOMY,S: amount of commodity C produced/consumed
- Real FOPEX: fixed operational expenditures [€/(MW*a)]
- Real VOPEX: Variable operational expenditures [€/MWh]
- Real CAPEX: capital expenditure [€/MWp]
- Real IMPEX: Import/Export costs of a commodity
- Real Lifespan: Technical Lifetime [y]
- Real ?: discount rate [%]
Output variables:
- Real VarCostC,Y,S,P: cost of commodity C produced/consumed by the process P at the time slice S of the period Y [M€]
- Real Totalcosts: total costs of the overall system [M€]
Thermal building - related documents
Conversion/storage process - description
Short Description
A process describes a physical element transforming one (or more) commodities into one (or more) other commodities.
- incoming commodity flow(s): gas/heat/electricity
- outgoing commodity flow(s): heat/electricity
Can be used as:
- gas boiler: Gas >>> heat
- gas CHP: Gas >>> heat & electricity
- heat pump: heat & electricity >>> heat
- heat storage: heat >>> heat
The models are used for the optimization of the overall energy system costs. Each model is part of the available technology portfolio within the system; those heat and electricity demand is provided by the technology portfolio (and under additional boundary conditions). The lowest possible time resolution is one hour, but daily, monthly or yearly resolution is also often used. The scale is on the district level. In this model, the battery is considered as a single lumped component, which provides a certain power or stores a defined amount of energy according to supply and demand.
Present use / development status
As a “component model”, a process in ETEEM provides the costs related to commodity transformation process under the given constraints (e.g. capacity constraints, demand needs, CO2 limitations).
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Conversion/storage process
Model Details
Domain |
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Intended application (including scale and resolution) | The models are used for the optimization of the overall energy system costs. Each model is part of the available technology portfolio within the system; those heat and electricity demand is provided by the technology portfolio (and under additional boundary conditions). The lowest possible time resolution is one hour, but daily, monthly or yearly resolution is also often used. The scale is on the district level.
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Modelling of spatial aspects |
The battery is considered as a single lumped component, which provides a certain power or stores a defined amount of energy according to supply and demand. | ||
Model dynamics |
The model outputs are assumed to be constant within one hour, but changes during a day/month/year. | ||
Model of computation |
Hourly steps of pivot years over a long-term planning horizon (for ex. 20-40 years) | ||
Functional representation |
The component model representation itself is explicit, whereas its usage in the overall optimization model is implicit (function of electricity, heat, CO2 emission, costs). |
Input variables (name, type, unit, description) |
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Output variables (name, type, unit, description) |
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Parameters (name, type, unit, description) |
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Internal variables (name, type, unit, description) | - | ||
Internal constants (name, type, unit, description) | Indices:
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Model equations | Governing equations | ||
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Constitutive equations | |||
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Initial conditions | - | ||
Boundary conditions |
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