Theoretical Model and Computer Simulation of Power Utility Matrix for the Integrated Distributed Energy Resources Article Swipe
A. J. Jin
,
Jinshu Su
,
Derong Liu
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.21203/rs.3.rs-1825707/v1
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.21203/rs.3.rs-1825707/v1
In this article, the authors methodically study the optimized distributed energy resources (DER)/ systems in terms of energy generation, consumption, transaction, and scheduling. They discovered a mathematical model that allows the users/ prosumers to arrive at the optimal trade-off among the three critical output functions including the output power, the energy benefit/cost, and its carbon footprint in operation. Systematic characterization in the given scenarios was discussed. Math model is classified into three or more eigenstates of the power utility matrix (PUM) model which is, in the linear algebra, also called the eigenstates approach [in Eigen space]. Mathematical model is a major discovery that has PUM and renders a transformation framework. This article investigates a type of so-called 3i3o model transforming three input variables/ parameters [or 3i parameters in the present case] into three output functions [or 3o functions]. Eigenstates approach of PUM may conveniently decouple the three critical outputs from one another; i.e., within a specified range, the user can increase the power output without affecting the amount of carbon by-product (output for DER, and with renewable energies). Furthermore, computer modeling is employed to resolve the optimal scheduling of energy within/ among the energy sources. Energy blockchain (EBC) approach further studies the values of several design rules. Theoretical model leads to a value dependency law that helps the users/ prosumers to benefit financially from DER. Finally, a carbon emission law of PUM is discovered within the DER design and is investigated in detail.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.21203/rs.3.rs-1825707/v1
- https://www.researchsquare.com/article/rs-1825707/latest.pdf
- OA Status
- green
- References
- 32
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4285083656
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4285083656Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.21203/rs.3.rs-1825707/v1Digital Object Identifier
- Title
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Theoretical Model and Computer Simulation of Power Utility Matrix for the Integrated Distributed Energy ResourcesWork title
- Type
-
preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2022Year of publication
- Publication date
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2022-07-13Full publication date if available
- Authors
-
A. J. Jin, Jinshu Su, Derong LiuList of authors in order
- Landing page
-
https://doi.org/10.21203/rs.3.rs-1825707/v1Publisher landing page
- PDF URL
-
https://www.researchsquare.com/article/rs-1825707/latest.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
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https://www.researchsquare.com/article/rs-1825707/latest.pdfDirect OA link when available
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Computer science, Eigenvalues and eigenvectors, Mathematical optimization, Scheduling (production processes), Renewable energy, Mathematics, Engineering, Electrical engineering, Physics, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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32Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.output | 44, 48, 134, 164 |
| abstract_inverted_index.power, | 49 |
| abstract_inverted_index.range, | 157 |
| abstract_inverted_index.rules. | 207 |
| abstract_inverted_index.users/ | 32, 219 |
| abstract_inverted_index.values | 203 |
| abstract_inverted_index.within | 154, 235 |
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| abstract_inverted_index.article | 112 |
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| abstract_inverted_index.detail. | 243 |
| abstract_inverted_index.further | 200 |
| abstract_inverted_index.optimal | 38, 187 |
| abstract_inverted_index.outputs | 149 |
| abstract_inverted_index.present | 130 |
| abstract_inverted_index.renders | 107 |
| abstract_inverted_index.resolve | 185 |
| abstract_inverted_index.several | 205 |
| abstract_inverted_index.space]. | 96 |
| abstract_inverted_index.studies | 201 |
| abstract_inverted_index.systems | 14 |
| abstract_inverted_index.utility | 79 |
| abstract_inverted_index.within/ | 191 |
| abstract_inverted_index.without | 165 |
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| abstract_inverted_index.algebra, | 88 |
| abstract_inverted_index.another; | 152 |
| abstract_inverted_index.approach | 93, 140, 199 |
| abstract_inverted_index.article, | 3 |
| abstract_inverted_index.computer | 180 |
| abstract_inverted_index.critical | 43, 148 |
| abstract_inverted_index.decouple | 145 |
| abstract_inverted_index.emission | 229 |
| abstract_inverted_index.employed | 183 |
| abstract_inverted_index.increase | 161 |
| abstract_inverted_index.modeling | 181 |
| abstract_inverted_index.sources. | 195 |
| abstract_inverted_index.affecting | 166 |
| abstract_inverted_index.discovery | 102 |
| abstract_inverted_index.footprint | 56 |
| abstract_inverted_index.functions | 45, 135 |
| abstract_inverted_index.including | 46 |
| abstract_inverted_index.optimized | 9 |
| abstract_inverted_index.prosumers | 33, 220 |
| abstract_inverted_index.renewable | 177 |
| abstract_inverted_index.resources | 12 |
| abstract_inverted_index.scenarios | 64 |
| abstract_inverted_index.so-called | 117 |
| abstract_inverted_index.specified | 156 |
| abstract_inverted_index.trade-off | 39 |
| abstract_inverted_index.Systematic | 59 |
| abstract_inverted_index.blockchain | 197 |
| abstract_inverted_index.by-product | 171 |
| abstract_inverted_index.classified | 70 |
| abstract_inverted_index.dependency | 214 |
| abstract_inverted_index.discovered | 25, 234 |
| abstract_inverted_index.discussed. | 66 |
| abstract_inverted_index.energies). | 178 |
| abstract_inverted_index.framework. | 110 |
| abstract_inverted_index.operation. | 58 |
| abstract_inverted_index.parameters | 124, 127 |
| abstract_inverted_index.scheduling | 188 |
| abstract_inverted_index.variables/ | 123 |
| abstract_inverted_index.Eigenstates | 139 |
| abstract_inverted_index.Theoretical | 208 |
| abstract_inverted_index.distributed | 10 |
| abstract_inverted_index.eigenstates | 75, 92 |
| abstract_inverted_index.financially | 223 |
| abstract_inverted_index.functions]. | 138 |
| abstract_inverted_index.generation, | 19 |
| abstract_inverted_index.scheduling. | 23 |
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| abstract_inverted_index.methodically | 6 |
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| abstract_inverted_index.transforming | 120 |
| abstract_inverted_index.benefit/cost, | 52 |
| abstract_inverted_index.transformation | 109 |
| abstract_inverted_index.characterization | 60 |
| 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 | 0.8399999737739563 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.05419646 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |