Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/116284
Title: Examining solar potential within electrical material flow
Author(s): Gonzalez Cabrera, Ernesto
Illés, Béla
Cservenák, Ákos
Issue Date: 2024
Type: Conference object
Language: English
Publisher: Otto von Guericke University Library, Magdeburg, Germany
URN: urn:nbn:de:gbv:ma9:1-1981185920-1182403
Subjects: solar
electrical energy flow
renewable energy
Abstract: This paper highlights the challenges of integrating renewable energy into electricity distribution networks, focusing on modeling and optimizing electrical energy flows from sources such as nuclear, thermal, renewable, and geothermal to various consumers, including industrial, residential, commercial, and electric transportation sectors. It addresses a critical knowledge gap in managing the complexity of energy distribution with diverse sources and variable consumption patterns. The research aims to develop a comprehensive model that ensures voltage stability across grid levels and optimizes the allocation of energy from sources, including solar panels, over time intervals. The proposed model uses time constraint matrices and graph theory to represent energy flows between sources and consumers, and defines variables and constraints to maintain grid stability amidst demand fluctuations. The intended results include a detailed energy distribution framework with a clear implementation methodology designed for practical use by grid operators, policy makers, and researchers. By providing a structured approach to the integration of renewable energy, the results will support the development of more resilient and efficient electricity distribution networks, define the problem, and outline future research steps.
URI: https://opendata.uni-halle.de//handle/1981185920/118240
http://dx.doi.org/10.25673/116284
Open Access: Open access publication
License: (CC BY-SA 4.0) Creative Commons Attribution ShareAlike 4.0(CC BY-SA 4.0) Creative Commons Attribution ShareAlike 4.0
Appears in Collections:Fakultät für Maschinenbau (OA)

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