compsac 2014 » a rapid prototyping approach for smart energy systems based on partial system models
TRANSCRIPT
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A Rapid Prototyping Approach
for Smart Energy Systems
based on …
Georg Hackenberg, Maximilian Irlbeck, Vasileios Koutsoumpas, Denis
Bytschkow
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… Partial System Models
Georg Hackenberg, Maximilian Irlbeck, Vasileios Koutsoumpas, Denis
Bytschkow
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Motivation / Situation and Problem
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Characteristic Situation
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Motivation / Situation and Problem
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Characteristic Situation
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Motivation / Situation and Problem
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Characteristic Situation
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Motivation / Situation and Problem
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Characteristic Situation
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Motivation / Situation and Problem
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Characteristic Situation
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Motivation / Situation and Problem
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Characteristic Situation
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Motivation / Situation and Problem
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A systematic approach to obtain
…
Shared understanding of
system requirements between
customer and engineer?
Early estimates of economic
and operational feasibility for
decision making?
Characteristic Situation Problem Statement
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1. Foundation
2. Solution
3. Demonstration
4. Discussion
5. Conlcusion
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Early-Phase
Systematic
Approach?
Solution / Foundation
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min𝑢
𝑡
𝑔(𝑥 𝑡 , 𝑢 𝑡 )
Rapid Prototyping System Theory Optimal Control
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Solution / Foundation / Rapid Prototyping
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„A prototype is the first or original
example of something that has
been or will be copied or
developed; it is a model or
preliminary version; …“
Chua et al. 2010
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Solution / Foundation / Rapid Prototyping
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„A prototype is the first or original
example of something that has
been or will be copied or
developed; it is a model or
preliminary version; …“
Requirements analysis
Feasibility study
Design
Chua et al. 2010 Luqi and Yeh 1988
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Solution / Foundation / Stream-Based System Theory
Discrete-Time Stream-Based System Theory
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Solution / Foundation / Stream-Based System Theory
Determinism
Discrete-Time Stream-Based System Theory
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Solution / Foundation / Stream-Based System Theory
Determinism Non-Determinism
Discrete-Time Stream-Based System Theory
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Solution / Foundation / Stream-Based System Theory
Determinism Non-Determinism Probabilism
Discrete-Time Stream-Based System Theory
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Solution / Foundation / Discrete-Time Optimal Ctrl.
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𝑥(𝑡) 𝑢(𝑡)
𝑓 𝑥, 𝑢 = 𝑡𝑟𝑢𝑒 min𝑢
𝑡
𝑔(𝑥 𝑡 , 𝑢 𝑡 )
State variables Control variables
Constraints Objectives
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1. Foundation
2. Solution
3. Demonstration
4. Discussion
5. Conlcusion
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Solution / Stakeholders and Workflows
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Solution / Stakeholders and Workflows
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Solution / Stakeholders and Workflows
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Solution / Stakeholders and Workflows
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Solution / Stakeholders and Workflows
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Solution / Stakeholders and Workflows
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Solution / Stakeholders and Workflows
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Solution / Stakeholders and Workflows
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Solution / Stakeholders and Workflows
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Solution / Stakeholders and Workflows
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Constraintannotation
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Solution / Stakeholders and Workflows
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Objectiveannotation
Constraintannotation
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Solution / Stakeholders and Workflows
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Equivalenceannotation
Constraintannotation
Objectiveannotation
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1. Solution
2. Foundation
3. Demonstration
4. Discussion
5. Conlcusion
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Demonstration / Iteration 1 / Model Definition
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Demonstration / Iteration 1 / Model Definition
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Demonstration / Iteration 1 / Model Definition
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Demonstration / Iteration 1 / Model Definition
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Demonstration / Iteration 1 / Model Definition
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Demonstration / Iteration 1 / Model Analysis
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Ob
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Th
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Dev
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Demonstration / Iteration 2 / Model Definition
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Demonstration / Iteration 2 / Model Analysis
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Ob
ject
ive
Lo
calN
et
En
erg
yS
tora
ge
Th
erm
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Dev
ices
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1. Foundation
2. Solution
3. Demonstration
4. Discussion
5. Conlcusion
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Discussion / Benefits and Issues
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Strong requirements focus.
Model inside components?
Approximation guides
decisions.
Engineering skills required?
Systematic model
decomposition.
Modules crossing
components?
Clear high-level guideline.
Component specific methods?
Model Definition Model Analysis
Generic Architecture Generic Workflow
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1. Foundation
2. Solution
3. Demonstration
4. Discussion
5. Conlcusion
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Conclusion / Contributions and Future Work
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Basic architecture for models of
smart energy systems with
focus on
• Requirements specification
• Requirements validation
Basic workflow for specification
and validation of requirements
• Model definition
• Model analysis
Specific methods for
components of generic
architecture
Algorithm comparison for
model analysis (= requirements
validation)
Extended evaluation of rapid
prototyping approach
Prototypical implementation of
model and analysis algorithm
Contributions Future Work
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Conclusion / Future Work / Specific Methods
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Objective Decomposition Context Decomposition
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Conclusion / Future Work / Prototypical Impl.
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Rapid Prototyping Workbench (Model Analysis GUI)
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A Rapid Prototyping Approach
for Smart Energy Systems
based on …
Georg Hackenberg, Maximilian Irlbeck, Vasileios Koutsoumpas, Denis
Bytschkow
![Page 48: COMPSAC 2014 » A Rapid Prototyping Approach for Smart Energy Systems Based on Partial System Models](https://reader034.vdocuments.net/reader034/viewer/2022051414/55a6305a1a28ab6f6d8b4866/html5/thumbnails/48.jpg)
… Partial System Models
Georg Hackenberg, Maximilian Irlbeck, Vasileios Koutsoumpas, Denis
Bytschkow
![Page 49: COMPSAC 2014 » A Rapid Prototyping Approach for Smart Energy Systems Based on Partial System Models](https://reader034.vdocuments.net/reader034/viewer/2022051414/55a6305a1a28ab6f6d8b4866/html5/thumbnails/49.jpg)
… Partial System Models
Georg Hackenberg, Maximilian Irlbeck, Vasileios Koutsoumpas, Denis
Bytschkow
Discrete-time, probabilistic, and
stream-based
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… Partial System Models
Thank you for your attention!
Discrete-time, probabilistic, and
stream-based