Título

SUSTAINABLE PRODUCTION BY FORECASTING AND OPTIMIZING ENERGY CONSUMPTION

SUSTAINABLE PRODUCTION BY FORECASTING AND OPTIMIZING ENERGY CONSUMPTION

DOI

10.5151/5463-5463-35087

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Resumo

A secure and balanced electrical energy supply is essential to modern society. Today’s energy mix, where renewable energy has still a small but steadily increasing share,  can provide electrical energy to private and industrial consumers whenever they require it. However, the companies in our energy-intensive industry have contracts with defined maximum allowed consumptions for specific time windows. The increasing share of renewable energies results in technical and operative challenges for the electrical supply networks and endangers the grid stability. Primary wind and solar electricity generation depends on weather conditions, time of day, season and location. Therefore, their power availability is volatile. The steel industry contributes to the aims defined in the Paris Agreement to reach “global peaking of greenhouse gas emissions as soon as possible” with many promising developments. Some new approaches to reduce iron oxide into iron include either relying on hydrogen from electrolysis powered by renewable electricity or use the electrical energy directly in electrochemical reactions. In this scenario, it becomes crucial to predict the energy demand of individual metal industry plants and adapt the production plans for energy availability.

 

A secure and balanced electrical energy supply is essential to modern society. Today’s energy mix, where renewable energy has still a small but steadily increasing share,  can provide electrical energy to private and industrial consumers whenever they require it. However, the companies in our energy-intensive industry have contracts with defined maximum allowed consumptions for specific time windows. The increasing share of renewable energies results in technical and operative challenges for the electrical supply networks and endangers the grid stability. Primary wind and solar electricity generation depends on weather conditions, time of day, season and location. Therefore, their power availability is volatile. The steel industry contributes to the aims defined in the Paris Agreement to reach “global peaking of greenhouse gas emissions as soon as possible” with many promising developments. Some new approaches to reduce iron oxide into iron include either relying on hydrogen from electrolysis powered by renewable electricity or use the electrical energy directly in electrochemical reactions. In this scenario, it becomes crucial to predict the energy demand of individual metal industry plants and adapt the production plans for energy availability.

Palavras-chave

Greensteel; Energy Management; Production Scheduling; CO2-Reduction.

Greensteel; Energy Management; Production Scheduling; CO2-Reduction.

Como citar

Albers, Stefan; Guerra, Fernando; Ponten, Heinz-Josef. SUSTAINABLE PRODUCTION BY FORECASTING AND OPTIMIZING ENERGY CONSUMPTION , p. 388-401. In: 4th EMECR - International Conference on Energy and Material Efficiency and CO2 Reduction in the Steel Industry 2022, São Paulo, 2022.
ISSN: - , DOI 10.5151/5463-5463-35087