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Due to the continuous expansion of renewable energies and their fluctuating generation capacities, a high volatility of electricity prices on energy markets can be observed in the course of a day. On day-ahead markets, electricity is traded on an hourly basis. This opens up a great potential for manufacturing companies since energy costs can be reduced by shifting energy-intensive jobs into time intervals of low electricity prices and vice versa. Here, the energy costs arise from the job- and machine-specific energy consumption combined with the hourly electricity prices. Unlike common approaches from literature, this work presents a mid-term planning approach, covering a time span of up to four weeks. Typically, electricity prices on day-ahead markets are known 24 hours in advance. Hence, sufficient price forecasts have to be provided in order to meet the requirements of mid-term scheduling. By means of forecasted electricity prices, an energy cost-oriented scheduling is carried out, while a flow shop environment with different job characteristics is investigated. Based on different scenarios, the forecast quality as well as the overall savings potential of the proposed energy cost-oriented scheduling is analyzed. In order to solve the different problem instances, exact as well as heuristic solution procedures are introduced.
keywordsAblaufplanung Betriebswirtschaft Elektrizitätsmarkt Energiekosten Operations Research Planungszeitraum Produktionsplanung Scheduling
Ihr Werk im Verlag Dr. Kovač
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