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P272 - DEC 2017 - Digital Enterprise Computing

https://dl.gi.de/handle/20.500.12116/21111
Auflistung nach:

Auflistung P272 - DEC 2017 - Digital Enterprise Computing nach Autor:in "Fauser, Jan"

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  • Textdokument
    Digitization of Decentralized Corporate Energy Systems: Supportive best-practiced methods for the energy domain
    (Digital Enterprise Computing (DEC 2017), 2017) Koppenhöfer, Christine; Fauser, Jan; Hertweck, Dieter
    Digitization in the energy sector is a necessity to enable energy savings and energy efficiency potentials. Managing decentralized corporate energy systems is hindered by a non-existence. The required integration of energy objectives into business strategy creates difficulties resulting in inefficient decisions. To improve this, practice-proven methods such as Balanced Scorecard, Enterprise Architecture Management and the Value Network approach are transferred to the energy domain. The methods are evaluated based on a case study. Managing multi-dimensionality, high complexity and multiple actors are the main drivers for an effective and efficient energy management system. The underlying basis to gain the positive impacts of these methods on decentralized corporate energy systems is digitization of energy data and processes.
  • Textdokument
    Smart Meter based Business Models for the Electricity Sector - A Systematical Literature Research
    (Digital Enterprise Computing (DEC 2017), 2017) Bischoff, Daniel; Kinitzki, Martin; Wilke, Tim; Zeqiraj, Flamur; Zivkovic, Sanja; Koppenhöfer, Christine; Fauser, Jan; Hertweck, Dieter
    The Act on the Digitization of the Energy Transition forces German industries and households to introduce smart meters in order to save energy, to gain individual based electricity tariffs and to digitize the energy data flow. Smart meter can be regarded as the advancement of the traditional meter. Utilizing this new technology enables a wide range of innovative business models that provide additional value for the electricity suppliers as well as for their customers. In this study, we followed a two-step approach. At first, we provide a state-of-the-art comparison of these business models found in the literature and identify structural differences in the way they add value to the offered products and services. Secondly, the business models are grouped into categories with respect to customer segments and the added value to the smart grid. Findings indicate that most business models focus on the end-consumer as their main customer.