References of "Schoepf, Michael 50039894"
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See detailTowards an evaluation of incentives and nudges for smart charging
Marxen, Hanna UL; Chemudupaty, Raviteja UL; Graf-Drasch, Valerie et al

in Proceedings of the 30th European Conference on Information Systems (ECIS 2022) (2022)

Electric vehicles (EVs) are an important cornerstone to achieve transport decarbonization. Still, simultaneous charging of EVs when home charging increases peak demand, especially during evenings. Smart ... [more ▼]

Electric vehicles (EVs) are an important cornerstone to achieve transport decarbonization. Still, simultaneous charging of EVs when home charging increases peak demand, especially during evenings. Smart charging allows optimal distribution of load, thus preventing peak loads. Nevertheless, this incorporates certain risks for the EV user, e.g., unavailability of EVs for unplanned events. This might lead to a lack of user acceptance. This paper focuses on specific incentives and nudges, motivating users to adopt smart charging. We conducted an integrative literature review, bringing together literature from different areas. Possible incentives and nudges are monetary incentives, feedback, gamification, or smart charging as a default-setting. We conducted three focus groups with 13 EV users in Luxembourg to get first insights into which of those incentives and nudges they prefer. Preliminary results indicate that incentives and nudges should be individualized. In the future, we would use these first insights to develop a large-scale survey. [less ▲]

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See detailThe role of flexibility in the light of the COVID-19 pandemic and beyond: Contributing to a sustainable and resilient energy future in Europe
Heffron, Raphael J.; Körner, Marc-Fabian; Schoepf, Michael UL et al

in Renewable and Sustainable Energy Reviews (2021), 140

The energy sector provides fuel for much of everyday life, particularly economically and socially. Fighting against the COVID-19 pandemic, a well-functioning and resilient energy sector is vital for ... [more ▼]

The energy sector provides fuel for much of everyday life, particularly economically and socially. Fighting against the COVID-19 pandemic, a well-functioning and resilient energy sector is vital for maintaining the operation of critical infrastructures, including, most importantly, the health sector, and timely economic recovery. Notwithstanding its importance in everyday life and crises, the energy sector itself is currently in a complex and far-reaching transformation to combat climate change whilst supporting the transition to a low-carbon economy and society, mainly through the development of variable renewable energy sources (RES) such as wind and solar photovoltaics. This paper highlights the need for energy resilience as countries face the triple challenge of the COVID-19 health crisis, the consequent economic crisis, and the climate crisis. Focusing on Europe, it is advanced here that with the ability to balance fluctuating electricity generation and demand, flexibility allows the energy sector to utilise low-carbon RES reliably, ensuring a more resilient and sustainable energy future. This paper derives five urgent policy recommendations for Europe that address possible impacts of COVID-19 on the economic and societal prerequisites for flexibility in energy systems. [less ▲]

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See detailOptimierung auf der Energiesynchronisationsplattform: Teil der Reihe Diskussionspapiere V4 Konzept der Energiesynchronisationsplattform
Schlip, Johannes; Bank, Lukas; Köberlein, Jana et al

Report (2021)

This discussion paper is intended to present the range of optimisers developed in the SynErgie project and to go into more detail on the methodological aspects. In this discussion paper, a distinction is ... [more ▼]

This discussion paper is intended to present the range of optimisers developed in the SynErgie project and to go into more detail on the methodological aspects. In this discussion paper, a distinction is made between optimisers on the company platform and on the market platform. On the company platform, the goal is to ensure optimal operation of the plants, so that in addition to energy, other operational key figures are included in the analysis. These include various optimisers from production planning and control (PPC), which, in addition to energy costs, also track logistical target variables, such as the on-time delivery of products, as key figures. In addition to the production systems, the facilities of the technical building equipment (TGA) are also optimised on the company platform. Furthermore, within the discussion paper, we differentiate between energy-oriented and energy-flexible optimisation. Energy-oriented optimisation, pursues the goal of minimise energy costs, uses information from the energy markets, such as electricity price forecasts. With flexible optimisation, for example, flexibilities are determined or scheduled, which can then be transmitted to the market. The discussion paper also deals with the optimisation services of the optimisation services of the market platform, which determines the optimal marketing opportunity for the determined. The optimiser calculates the optimal time for different markets in order to maximise the proceeds of the maximise the revenue of the flexibility offered or minimise the costs. Should a flexibility provider decide to use a service to take over the marketing of his flexibility measure, information on the flexibility is transmitted between the flexibility is transmitted between the service and the company in order to be able to implement the measure in the company. [less ▲]

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See detailEnergieflexibilitätsdatenmodell der Energiesynchronisationsplattform: Teil der Reihe Diskussionspapiere V4 Konzept der Energiesynchronisationsplattform
Buhl, Hans Ulrich; Duda, Sebastian; Schott, Paul et al

Report (2021)

The energy flexibility data model developed within the framework of SynErgie is used for the generic and standardised description and modelling of energy flexibility. The data model enables (partially ... [more ▼]

The energy flexibility data model developed within the framework of SynErgie is used for the generic and standardised description and modelling of energy flexibility. The data model enables (partially) automated information technology processing of a wide variety of flexibility. The aim is to develop a comprehensive data model to map flexibility in a flexibility space and concrete flexibility measures. The aim is not to create a completely realistic representation of a flexibility. The focus is on mapping technically and energetically relevant information in a granularity that enables the communication of flexibility between industrial companies and energy markets. [less ▲]

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See detailHow did the German and other European electricity systems react to the COVID-19 pandemic?
Halbrügge, Stephanie; Schott, Paul; Weibelzahl, Martin et al

in Applied Energy (2021), 285

The first wave of the COVID-19 pandemic led to decreases in electricity demand and a rising share of Renewable Energy Sources in various countries. In Germany, the average proportion of net electricity ... [more ▼]

The first wave of the COVID-19 pandemic led to decreases in electricity demand and a rising share of Renewable Energy Sources in various countries. In Germany, the average proportion of net electricity generation via Renewable Energy Sources rose above 55% in the first half of 2020, as compared to 47% for the same period in 2019. Given these altered circumstances, in this paper we analyze how the German and other European electricity systems behaved during the COVID-19 pandemic. We use data visualization and descriptive statistics to evaluate common figures for electricity systems and markets, comparing developments during the COVID-19 pandemic with those of previous years. Our evaluation reveals noticeable changes in electricity consumption, generation, prices, and imports/exports. However, concerning grid stability and ancillary services, we do not observe any irregularities. Discussing the role of various flexibility options during the COVID-19 pandemic, a relatively higher grid capacity resulting from a decreased electricity consumption, in particular, may have contributed to grid stability. [less ▲]

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See detailStrukturierte Analyse von Nachfrageflexibilität im Stromsystem und Ableitung eines generischen Geschäftsmodells für (stromintensive) Unternehmen
Haupt, Leon; Körner, Marc-Fabian; Schoepf, Michael UL et al

in Zeitschrift für Energiewirtschaft (2020)

The expansion of renewable energy requires appropriate flexibility in the electricity system in order to maintain the balance between electricity generation and consumption at all times. The industrial ... [more ▼]

The expansion of renewable energy requires appropriate flexibility in the electricity system in order to maintain the balance between electricity generation and consumption at all times. The industrial sector plays a central role for a successful energy transition due to the power-intensive processes and the resulting high electricity demand. Industrial demand response may be a cost-effective alternative to other flexibility options. At the same time, companies can reduce electricity procurement costs by providing demand response. Nevertheless, due to a complex decision-making environment and a lack of planning security, only a few companies are currently exploiting the existing potential. To reach the goals of the energy transition, the potential used must still be raised significantly, i.e., companies must align their demand for electricity more closely to the existing supply of electricity. This article supports companies in this transformation process by illustrating dimensions and characteristics of a business model for demand response. Through a literature study and subsequent expert workshops, a generic business model for companies is derived that provides transparency regarding the necessary activities and resources for enabling and implementing demand response. The results were developed using the established Business Model Canvas. This supports companies that have not yet started to use demand response in their business model development and thus reduces barriers to entry. The results presented contribute to an increase in the demand response potential of the industry. [less ▲]

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