Abstract
Abstract. The energy sector in Germany, as in many other countries, is undergoing a major transformation. To achieve the climate targets, numerous measures to implement smart energy and resource efficiency are necessary. Therefore, energy companies are experiencing increasing pressure from politics and society to transform their business areas in a sustainable manner and implement smart and sustainable business models. Consequently, numerous resources are expected to flow into the development and implementation of new business models. But often these efforts remain unsuccessful in practice. There is a large amount of literature on barriers and drivers of smart and sustainable business models in the energy sector. But what are the factors that companies struggle with most when developing and implementing new business models in practice? To answer this question, the results of a systematic literature review were evaluated by conducting semi-structured interviews with experts of the German energy sector. Six categories of transformation barriers were identified: Organizational, Financial, Legal, Partner-Network, Societal and Technological barriers. To overcome these barriers, recommendations for action and key success factors are outlined by the experts interviewed. The interview study validates key barriers and drivers in terms of their significance in practice in the German energy sector and makes recommendations to advance the smart and sustainable transformation of the energy sector.
Highlights
The energy turnaround in Germany and the digitization mean a radical technical change from centralized to decentralized and smart energy production
In this chapter we describe different key barriers and drivers from literature for the development of new business models in the energy domain
To develop a practice-relevant implementation roadmap, the interviews focused on identifying success factors and barriers
Summary
The energy turnaround in Germany and the digitization mean a radical technical change from centralized to decentralized and smart energy production. Energy supply and demand must be smartly balanced, smart grids need to be created, and smart data flows must be generated. During this intelligent and sustainable transformation of the energy sector, key barriers and drivers need to be addressed. The term "energy system" in this context must be understood in a broader context that includes raw materials, resources, technologies, economics, society, and law. These are all crucial factors that have a decisive influence on the energy system in direct or indirect ways
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