Logo des Repositoriums

Auflistung nach Schlagwort "Demand side management"

1 - 2 von 2
  • Zeitschriftenartikel
    Demand Side Management
    (HMD Praxis der Wirtschaftsinformatik: Vol. 55, No. 3, 2018) Häfner, Lukas
    Der im Zuge der Energiewende wachsende Anteil regenerativer Energieträger verstärkt Preisschwankungen auf Energiemärkten und führt zur zunehmenden Gefährdung der Versorgungssicherheit. Vor allem Industrieunternehmen stehen vor der Herausforderung, das dadurch erschwerte Energieversorgungsmanagement so anzupassen, dass die Wertschöpfung und die Rentabilität der deutschen Standorte gesichert sind. Die Nutzung von Flexibilität im Energieverbrauch und in der Eigenenergieerzeugung („Demand Side Management“) kann dabei einen vielversprechenden Ansatz bieten, da somit ein kostensensitives Energiemanagement möglich ist und neue Erlöspotentiale durch Flexibilitätsvermarktung an Märkten für Strom, Systemdienstleistungen und speziellen Flexibilitätsmärkten erschließbar werden. Dennoch ist die Ermittlung des realisierbaren und wirtschaftlichen Energieflexibilitätspotentials von hoher Komplexität und die Literatur gibt bislang kaum Antworten darauf, wie Industrieunternehmen zukünftig mit dieser Situation umgehen sollen. Vor diesem Hintergrund wird im vorliegenden Beitrag die Entwicklung und Nutzung neuartiger Entscheidungsunterstützungssysteme motiviert, welche Industrieunternehmen alleine oder zusammen mit IT-Dienstleistern und Energieberatern entwickeln und zur optimalen Nutzung vorhandener Energieflexibilität unter integrierten Chancen- und Risikoaspekten nutzen können. Dazu werden neben Grundlagen zum Thema Energieflexibilität und Flexibilitätsvermarktung wesentliche funktionale Anforderungen präsentiert, die ein Entscheidungsunterstützungssystem (EUS) für das Energieflexibilitätsmanagement (EFM) idealerweise erfüllen sollte. Anschließend wird eine Systemarchitektur für ein derartiges EUS vorgestellt und Handlungsempfehlungen für die Praxis abgeleitet. Im Rahmen von Experteninterviews wird dabei die Praxistauglichkeit sichergestellt. The German “energy transition” toward renewable energies exhibits an increase of volatility in energy supply and therefore threatens both grid stability and electricity price stability. Especially industrial companies meet the challenge to provide sufficient and affordable energy according to their individual production requirements. To this effect, the utilization of flexibility in these companies’ energy demand and decentral energy generation (“demand side management”) is a promising approach to realize cost savings and new profit opportunities on power exchanges, balancing power markets and specific forthcoming flexibility markets. However, the computation of available and economic energy flexibility potential is a highly complex task for industrial companies and literature has not yet delivered approaches on how to deal with that challenge. In this context, this paper motivates the development and application of new decision support systems that can be developed by industrial companies themselves or in cooperation with IT service providers and energy consultants with the objective to optimize the utilization of energy flexibility using an integrated risk and return management. Besides basics on energy flexibility and flexibility deployment, this paper presents important functional requirements for decision support systems in energy flexibility management. Subsequently, this paper presents a system architecture for such a decision support system and concludes with recommendations for practitioners. Thereby, practicability is ensured by presenting results from interviews with industry experts.
  • Zeitschriftenartikel
    Watt’s Next? Leveraging Process Flexibility for Power Cost Optimization
    (Business & Information Systems Engineering: Vol. 66, No. 5, 2024) Hermann, Julia; Rusche, Simon; Moder, Linda; Weibelzahl, Martin
    The transition from fossil fuels to renewable energy sources poses major challenges for balancing increasingly weather-dependent power supply and demand. Although demand-side energy flexibility, offered particularly by industrial companies, is seen as a promising and necessary approach to address these challenges and realize benefits for companies, its implementation is not yet common practice. Often facing highly complex process landscapes and operational systems, process mining provides significant potential to increase transparency of actual process flows and to discover or reflect existing dependencies and interrelationships of activities, instances or resources. It facilitates the implementation of energy flexibility measures and enables the realization of monetary benefits associated with flexible process operation. This paper contributes to the successful integration of energy flexibility into process operations by presenting a design science research artifact called PM4Flex. This is a prescriptive process monitoring approach that uses linear programming to generate recommendations for pending process flows optimized under fluctuating power prices by utilizing established energy flexibility measures. Thereby, event logs and corresponding company- as well as process-specific constraints are considered. PM4Flex is demonstrated and evaluated based on its implementation as a software prototype, its application to exemplary data from two real-world processes exhibiting power cost savings of up to 75% compared to the original execution, and based on semi-structured expert interviews. PM4Flex provides new design knowledge at the interface of prescriptive process monitoring and the energy domain providing decision support to optimize industrial energy procurement costs.