Component-to-Optimization Workflow Demonstration Article Swipe

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Dylan McDowell , Linyu Lin , Paul Talbot ·

YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.2172/2396820

This report aims to demonstrate workflow-generating algorithms for optimizing dispatch across a broad range of Integrated Energy System applications using the Framework for Optimization of Resources and Economics (FORCE) tool suite. The optimization is performed at two different time scales. In the coarse time scale, the optimization focuses on a class of energy sources and consumers and aims to find the optimal combinations and flows of energy based on real-time price data information. In the fine time scale, the optimization focuses on a specific thermal energy delivery system and aims to find the optimal setpoints of components in order to meet the energy demands from coarse-time-scale optimizations. In this demonstration, the coarse-scale optimization is implemented using the newly developed Dispatch Optimization Variable Engine (DOVE), while the fine-scale optimization used Optimization of Real-Time Capacity Allocation (ORCA).

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Workflow Suite Computer science Scale (ratio) Component (thermodynamics) Optimization problem Range (aeronautics) Energy (signal processing) Mathematical optimization Distributed computing Real-time computing Engineering Database Algorithm Mathematics Thermodynamics Quantum mechanics Statistics Archaeology Aerospace engineering History Physics

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Type: report
Language: en
Landing Page: https://doi.org/10.2172/2396820
OA Status: green
References: 41
Related Works: 10
OpenAlex ID: https://openalex.org/W4400598802

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OpenAlex ID: https://openalex.org/W4400598802

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DOI: https://doi.org/10.2172/2396820

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Title: Component-to-Optimization Workflow Demonstration

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Type: report

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Language: en

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Publication year: 2024

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Publication date: 2024-06-01

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Authors: Dylan McDowell, Linyu Lin, Paul Talbot

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Landing page: https://doi.org/10.2172/2396820

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OA URL: https://www.osti.gov/biblio/2396820

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Concepts: Workflow, Suite, Computer science, Scale (ratio), Component (thermodynamics), Optimization problem, Range (aeronautics), Energy (signal processing), Mathematical optimization, Distributed computing, Real-time computing, Engineering, Database, Algorithm, Mathematics, Thermodynamics, Quantum mechanics, Statistics, Archaeology, Aerospace engineering, History, Physics

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References (count): 41

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abstract_inverted_index.Framework	21
abstract_inverted_index.Real-Time	131
abstract_inverted_index.Resources	25
abstract_inverted_index.consumers	55
abstract_inverted_index.developed	118
abstract_inverted_index.different	37
abstract_inverted_index.performed	34
abstract_inverted_index.real-time	69
abstract_inverted_index.setpoints	94
abstract_inverted_index.Allocation	133
abstract_inverted_index.Integrated	15
abstract_inverted_index.algorithms	6
abstract_inverted_index.components	96
abstract_inverted_index.fine-scale	126
abstract_inverted_index.optimizing	8
abstract_inverted_index.demonstrate	4
abstract_inverted_index.implemented	114
abstract_inverted_index.Optimization	23, 120, 129
abstract_inverted_index.applications	18
abstract_inverted_index.coarse-scale	111
abstract_inverted_index.combinations	62
abstract_inverted_index.information.	72
abstract_inverted_index.optimization	32, 46, 79, 112, 127
abstract_inverted_index.demonstration,	109
abstract_inverted_index.optimizations.	106
abstract_inverted_index.coarse-time-scale	105
abstract_inverted_index.workflow-generating	5
cited_by_percentile_year
countries_distinct_count	1
institutions_distinct_count	3
sustainable_development_goals[0].id	https://metadata.un.org/sdg/7
sustainable_development_goals[0].score	0.7099999785423279
sustainable_development_goals[0].display_name	Affordable and clean energy
citation_normalized_percentile