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Dynamic Modeling Of The Energy Returned On Invested
by
Camargo, Federico Gabriel
in
análisis de ciclo de vida
/ Criteria
/ Decision making
/ Dynamic models
/ Energy consumption
/ Energy efficiency
/ energy return on investment
/ Environmental impact
/ Fossils
/ fuentes primarias de generación renovable
/ Industrial plant emissions
/ Life cycle analysis
/ Mathematical models
/ Nuclear energy
/ Nuclear power plants
/ primary source of renewable generation
/ primary source of renewable generation; life cycle analysis; energy return on investment
/ Return on investment
/ tasa de retorno energético
2022
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Dynamic Modeling Of The Energy Returned On Invested
by
Camargo, Federico Gabriel
in
análisis de ciclo de vida
/ Criteria
/ Decision making
/ Dynamic models
/ Energy consumption
/ Energy efficiency
/ energy return on investment
/ Environmental impact
/ Fossils
/ fuentes primarias de generación renovable
/ Industrial plant emissions
/ Life cycle analysis
/ Mathematical models
/ Nuclear energy
/ Nuclear power plants
/ primary source of renewable generation
/ primary source of renewable generation; life cycle analysis; energy return on investment
/ Return on investment
/ tasa de retorno energético
2022
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Do you wish to request the book?
Dynamic Modeling Of The Energy Returned On Invested
by
Camargo, Federico Gabriel
in
análisis de ciclo de vida
/ Criteria
/ Decision making
/ Dynamic models
/ Energy consumption
/ Energy efficiency
/ energy return on investment
/ Environmental impact
/ Fossils
/ fuentes primarias de generación renovable
/ Industrial plant emissions
/ Life cycle analysis
/ Mathematical models
/ Nuclear energy
/ Nuclear power plants
/ primary source of renewable generation
/ primary source of renewable generation; life cycle analysis; energy return on investment
/ Return on investment
/ tasa de retorno energético
2022
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Journal Article
Dynamic Modeling Of The Energy Returned On Invested
2022
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Overview
This work was developed to present a conceptual and preliminary analysis of the concepts and criteria for estimating the Energy Return on Investment (EROI). In this work, methods based on monetary studies, Life Cycle Analysis (LCA) were discussed and a dynamical systems modeling was proposed. In this respect, we made a mathematical development, defining the state and auxiliary variables and the adjustment parameters necessary to study the problem. Some criteria and influencing factors were defined, in the medium and long term, the sustainability of the energy system and seek to incorporate them into relevant areas of discussion and education, encouraging their dissemination and reviews. It is sought to discuss the issues and considerations for a standardized methodology that allows comparisons and decision-making, in order to minimize environmental impact.
Publisher
Universidad Nacional de Colombia
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