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Algorithms that transfer between different energy metering methods for simplification of energy trading and unified billing

The paper settles a discrepancy between two smart-metering methods. The issue bears on a billion installed smart meters and $36B electric-energy trading market. The contemporary problem of the energy-metering registration gap between the methods, relates to energy-trading unified-billing, and it wil...

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Detalles Bibliográficos
Autores principales: Calamaro, Netzah, Donko, Moshe, Shmilovitz, Doron
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9730140/
https://www.ncbi.nlm.nih.gov/pubmed/36506402
http://dx.doi.org/10.1016/j.heliyon.2022.e11542
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author Calamaro, Netzah
Donko, Moshe
Shmilovitz, Doron
author_facet Calamaro, Netzah
Donko, Moshe
Shmilovitz, Doron
author_sort Calamaro, Netzah
collection PubMed
description The paper settles a discrepancy between two smart-metering methods. The issue bears on a billion installed smart meters and $36B electric-energy trading market. The contemporary problem of the energy-metering registration gap between the methods, relates to energy-trading unified-billing, and it will aggravate in the future. A mathematical definition for active and reactive, import/export energy-metering formulas is given for vector/arithmetic common metering models employing energy formulas rather than power, energy being the language of smart metering design/usage/billing. Economic reasoning, difficulty of implementation, and required regulator's flexibility at establishing different import/export tariffs-per different tariff program-types are explained. Innovations in the presented work include: (1) mathematical formulation of metering-methods-definitions that is validated over: one EU organization, twelve major meter manufacturers, twenty model-types, is presented and tested. (2) formulation of drivers for 100% accurate conversion from one method to another is developed. (3) fifteen real-life experiments covering the entire problem spectrum are conducted with new results, discovering new energy/tariff “conservation-rules”, relevant to manufacturers/utility companies/regulators/customers. (4) a correct segmentation of customers to energy/tariff registration-gap is generated. (5) an algebra that is suitable to energy metering/conversion/tariff computation-and-design is presented. (6) research reduces the cost of a contemporary solution by 98%. (6) Advantages/disadvantages of each method are named. (7) scenarios where one of the energy methods may be incorrect are considered-and-rejected. Eleven theorems formulated and proved, and fifteen field test cases covering the entire electricity market. (8) regulators may maintain arithmetic meters, enjoying their added value, and manage precise arithmetic/vector metering using these meters– especially using load profile and potentially satisfying with billing registers.
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spelling pubmed-97301402022-12-09 Algorithms that transfer between different energy metering methods for simplification of energy trading and unified billing Calamaro, Netzah Donko, Moshe Shmilovitz, Doron Heliyon Research Article The paper settles a discrepancy between two smart-metering methods. The issue bears on a billion installed smart meters and $36B electric-energy trading market. The contemporary problem of the energy-metering registration gap between the methods, relates to energy-trading unified-billing, and it will aggravate in the future. A mathematical definition for active and reactive, import/export energy-metering formulas is given for vector/arithmetic common metering models employing energy formulas rather than power, energy being the language of smart metering design/usage/billing. Economic reasoning, difficulty of implementation, and required regulator's flexibility at establishing different import/export tariffs-per different tariff program-types are explained. Innovations in the presented work include: (1) mathematical formulation of metering-methods-definitions that is validated over: one EU organization, twelve major meter manufacturers, twenty model-types, is presented and tested. (2) formulation of drivers for 100% accurate conversion from one method to another is developed. (3) fifteen real-life experiments covering the entire problem spectrum are conducted with new results, discovering new energy/tariff “conservation-rules”, relevant to manufacturers/utility companies/regulators/customers. (4) a correct segmentation of customers to energy/tariff registration-gap is generated. (5) an algebra that is suitable to energy metering/conversion/tariff computation-and-design is presented. (6) research reduces the cost of a contemporary solution by 98%. (6) Advantages/disadvantages of each method are named. (7) scenarios where one of the energy methods may be incorrect are considered-and-rejected. Eleven theorems formulated and proved, and fifteen field test cases covering the entire electricity market. (8) regulators may maintain arithmetic meters, enjoying their added value, and manage precise arithmetic/vector metering using these meters– especially using load profile and potentially satisfying with billing registers. Elsevier 2022-11-17 /pmc/articles/PMC9730140/ /pubmed/36506402 http://dx.doi.org/10.1016/j.heliyon.2022.e11542 Text en © 2022 Published by Elsevier Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Calamaro, Netzah
Donko, Moshe
Shmilovitz, Doron
Algorithms that transfer between different energy metering methods for simplification of energy trading and unified billing
title Algorithms that transfer between different energy metering methods for simplification of energy trading and unified billing
title_full Algorithms that transfer between different energy metering methods for simplification of energy trading and unified billing
title_fullStr Algorithms that transfer between different energy metering methods for simplification of energy trading and unified billing
title_full_unstemmed Algorithms that transfer between different energy metering methods for simplification of energy trading and unified billing
title_short Algorithms that transfer between different energy metering methods for simplification of energy trading and unified billing
title_sort algorithms that transfer between different energy metering methods for simplification of energy trading and unified billing
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9730140/
https://www.ncbi.nlm.nih.gov/pubmed/36506402
http://dx.doi.org/10.1016/j.heliyon.2022.e11542
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