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The energy transition involves various challenges. One key aspect is the decentralization of power generation, which requires new actors. In order to integrate these into the system in the best possible way, there are various approaches e.g. in cooperation in citizens' initiatives or cooperatives (Dorniok, 2016).
Cooperation in general can enable the implementation of certain business models or can increase profitability by the exploitation of economies of scale (Skovsgaard & Jacobsen, 2017; Theurl, 2010). Synergy effects result from the utilization of know-how, different technologies or resources of the partners involved to complement the own competencies and services (Eggers & Engelbrecht, 2005; Sander, 2009). Cooperation exists in various industries and enable the participating companies to compensate their size-related resource deficits (Glaister & Buckley, 1996; Todeva & Knoke, 2005). This creates the opportunity to develop innovations, open up new markets, exploit newly created economies of scale and share costs and risks (Franco & Haase, 2015). In agriculture, cooperation in the form of cooperatives have been of essential importance for a long time, especially with the aim of exploiting synergy effects (Bareille et al., 2017). In the field of renewable energy development, cooperation in form of citizen cooperatives make a significant contribution to the participation of citizens in political, social and financial aspects of the energy transition (Huybrechts & Mertens, 2014). Energy cooperatives are frequently discussed as a potential actor in the energy transition and are increasingly being established to advance the common interests of stakeholders. For example, the joint operation of decentralized power generation plants can involve new actors in the energy transition through regional cooperation (Walk, 2014).
Existing biogas plants in Germany need new business models after the 20-year Renewable Energy Sources Act feed-in tariff expires. For continued operation, a business model innovation is needed, which can be realized based on the different technical utilization pathways. Cooperation can have a significant impact on the profitability of the different business models, especially by exploiting synergy effects (Karlsson et al., 2019). In addition, cooperation can help to ensure that existing plants continue to operate at all.
Currently, the most widespread use of biogas in Germany is in the coupled generation of electricity and heat. Additionally, there is the possibility of upgrading biogas to biomethane or biogenic hydrogen path (Mertins & Wawer, 2022).
Different options for cooperative business models that exist in the biogas utilization pathways are presented. The focus is on explaining the advantages of a joint approach compared to single-farm business models and identifying the relevant actors. Subsequently, drivers and barriers for the different cooperative business models are identified and classified based on 20 semi-structured interviews with plant operators in the administrative district of Osnabrück. The aim is to identify drivers and barriers for cooperative post-EEG operation. As a result, political instruments are to be found that make it possible to involve relevant actors and thus stimulate the best possible continued operation from the point of view of the energy system. The results are structured according to the PESTEL analysis. This assigns drivers and barriers to the categories political, economic, sociocultural, technological, ecological and legal (Kaufmann, 2021). The analysis of the interviews is supplemented and validated by a literature review.
Drivers and barriers for cooperative business models are manifold and can vary mainly depending on the plant and the operator.
Drivers
• Political
o Promotion of renewable energies: reduce dependence on fossil (Russian) fuels
• Economic
o Expectation of synergies (information sharing, shared risk, economies of scale)
o Planning security (fixed supply or purchase contracts)
o Access to new markets (not accessible by single-farm business models)
o Cost savings by sharing infrastructure, technology
o Positive return expectation
• Sociocultural
o Motivating, innovative environment
o Lowers barriers to participation in new markets
o Target-oriented partnerships
o Better use of capacities and strengths
o Strengthening regional value creation
• Technological
o Economies of scale (efficiency)
o Available, mature technology
o Storable, transportable gas
o Well-developed infrastructure
• Ecological
o Increase in plant efficiency
o Reduction of greenhouse gas emissions
o Promotion of the circular economy by utilization of organic waste and agricultural residues
o Improving soil quality (fermentation residues as fertilizer)
Barriers
• Political
o Competition to other renewable energies
• Economic
o Uncertainty about future development of energy markets
o Disagreements between the cooperation partners
o Lack of flexibility due to longer-term contractual obligations
o Allocation of profits
• Sociocultural
o Cooperation with current competitor
o Cultural differences and lack of trust
o Acceptance by the general public (e.g. overproduction of maize)
• Technological
o Different technology that is difficult to combine
o Data protection
• Ecological
o Competition for agricultural land
o Use of monocultures
o Emissions from plant
o Pollution from transport
• Legal
o Legal requirements and regulations
o Unfavorable regulatory environment, e.g. long permitting process
One finding is that uncertainty is a major barrier for plant operators. This includes uncertainty about regulatory frameworks and political requirements, as well as about the general development of the energy markets. In addition, social factors such as lack of reliability and disagreement about revenue sharing are a potential barrier. A key driver for the implementation of cooperative business models is the expectation of synergy effects. In addition, operators are driven by a positive expectation of returns and the responsibility for securing the energy supply in times of crisis.
The drivers identified can now be used to develop strategies to advance cooperative business models. In particular, synergy effects should be exploited so that operators can benefit from cooperation. The advantages can also be highlighted and communicated to increase acceptance among the general public. Another important step is to reduce the barriers discussed above. In order to reduce social barriers in particular, it may be advisable to include an external partner in the cooperation, such as a municipal utility that operates an upgrading plant and concludes purchase agreements with the individual partners. In addition, it would be politically expedient to provide the operators with a clear framework for the future in order to reduce uncertainties. As a further aspect, knowledge transfer on new technologies and markets should take place.
Artificial intelligence (AI) and human-machine interaction (HMI) are two keywords that usually do not fit embedded applications. Within the steps needed before applying AI to solve a specific task, HMI is usually missing during the AI architecture design and the training of an AI model. The human-in-the-loop concept is prevalent in all other steps of developing AI, from data analysis via data selection and cleaning to performance evaluation. During AI architecture design, HMI can immediately highlight unproductive layers of the architecture so that lightweight network architecture for embedded applications can be created easily. We show that by using this HMI, users can instantly distinguish which AI architecture should be trained and evaluated first since a high accuracy on the task could be expected. This approach reduces the resources needed for AI development by avoiding training and evaluating AI architectures with unproductive layers and leads to lightweight AI architectures. These resulting lightweight AI architectures will enable HMI while running the AI on an edge device. By enabling HMI during an AI uses inference, we will introduce the AI-in-the-loop concept that combines AI's and humans' strengths. In our AI-in-the-loop approach, the AI remains the working horse and primarily solves the task. If the AI is unsure whether its inference solves the task correctly, it asks the user to use an appropriate HMI. Consequently, AI will become available in many applications soon since HMI will make AI more reliable and explainable.
Der Umgang mit Veränderungsprozessen ist zum festen Bestandteil des Arbeitsalltags geworden. Irgendetwas wird immer verändert, seien es Arbeitsaufgaben, Technologien, Geschäftsprozesse, Strukturen oder auch die Kultur einer Organisation. Man möchte hierdurch die Produktivität steigern, Bürokratie abbauen, die Wettbewerbsfähigkeit verbessern, Qualität bzw. Innovationen fördern und vieles mehr. Inwieweit man diese Ziele auch erreicht, hängt sehr stark davon ab, ob der Wandel auf breiter Basis akzeptiert und unterstützt wird. Führungskräfte und Verantwortliche für Change-Projekte, Organisations- oder Führungskräfteentwicklung können als „Change Leader“ durch die Art, wie sie führen, entscheidend zum Gelingen beitragen. Das Führen in Veränderungsprozessen wird in diesem Ratgeber entlang von sechs Handlungsfeldern strukturiert: (1) Individuelle Reaktionen Change-Betroffener verstehen, (2) Potenziale von Achtsamkeit in Veränderungsprozessen nutzen, (3) den Wandel klug organisieren, (4) wertschätzend handeln, (5) Verhaltensänderung unterstützen und (6) Kreativität fördern. Die Kapitel sind handlungsorientiert strukturiert und berücksichtigen Erkenntnisse aus der psychologischen Forschung. Reflexionsfragen, Checklisten, Arbeitsblätter und Übungen am Ende jedes Kapitels regen zur Reflexion der Inhalte an und unterstützen den Transfer in die Praxis.
Inhalt dieser Arbeit ist die Entwicklung und Durchführung eines BIM-Workflows für die Erfassung, Aufbereitung und Weiterbearbeitung von Gelände-Bestandsdaten in der Landschaftsarchitektur. Der entwickelte Workflow basiert auf der Analyse vorliegender BIM-Richtlinien und Leitfäden aus dem Bereich der Infrastrukturplanung. Es wird herausgestellt, welche Anforderungen an Bestandsdaten in BIM gestellt werden. Diese können auf Grund überschneidender Inhalte auf die Fachdisziplin der Freiraumplanung übertragen werden. Der Workflow integriert auf der einen Seite 3D-Bestandsdaten der Vermessungsämter, auf der anderen Seite Vermesserdaten aus der Ingenieurvermessung. Die Daten werden für die Weiterverwendung in BIM-Softwares aufbereitet und an diese übergeben. Auf Grundlage eines Projektbeispiels wird in fünf verschiedenen BIM-Programmen die Erstellung eines Digitalen Geländemodells anhand derselben Punktedatei durchgeführt und dokumentiert. Die erstellten Geländemodelle werden in dasselbe Datenformat exportiert und hinsichtlich ihrer Übereinstimmung und Genauigkeit mittels ausgewählter Vergleichsmethoden geprüft. Abschließend werden einige Werkzeuge des Plug-ins ‚Environment‘ für die Modellierung und Weiterbearbeitung von Geländemodellen in Autodesk Revit getestet und bewertet. Die praktische Umsetzung des entwickelten Workflows wird detailliert im Anhang aufgezeigt.
Bei langfristigen radikalen technologischen Veränderungen werden neue und etablierte Geschäftsmodelle oftmalig parallel ausgeübt. Proff und andere definieren Geschäftsmodelle als Kombination von fünf Wahlentscheidungen, die wiederum fünf Geschäftsmodellkomponenten abbilden. Die Entscheidung über die Ressourcenallokation ist eine dieser Entscheidungen. Bei langfristigen radikalen technologischen Veränderungen spielt diese Ressourcenallokation eine besondere Bedeutung, da etablierte und neue Geschäftsmodelle häufig um begrenzte liquide Mittel konkurrieren. Mit Blick auf organisationale Trägheit sowie den teilweise emergenten Charakter von Strategien sind bewusste, strategisch geprägte Geschäftsmodellentscheidungen gerade zu Beginn radikaler technologischer Veränderungen in der Unternehmenspraxis wahrscheinlich weniger bedeutend. Demgegenüber ist zu vermuten, dass die Prozesse der Unternehmen zur Auswahl von Innovationsprojekten die Entscheidungen zur Ressourcenallokation bei neuen und etablierten Geschäftsmodellen oftmals implizit bedingen. Die Entscheidungsgrundlage der Wahl von Innovationsprojekten bilden häufig Kapitalwertvergleiche. Solche einfachen Kapitalwertmethoden haben allerdings „the potential to severely undervalue a development project’s contribution to the firm”. Der Beitrag diskutiert daher verschiedene Alternativen zu einfachen Kapitalwertmethoden bezüglich ihrer Eignung zur Unterstützung der Ressourcenallokation bei radikalen technologischen Veränderungen.
Osnabrück’s so called “Green Fingers” – eleven landscape corridors reaching from the inner city into the region – structure the regional metropolis’ urban pattern. They supply the city centre with fresh air, serve as recreational destinations for the city’s inhabitants and provide space for close to the city agriculture and forestry. First defined in 1926, the Green Fingers have since been part of various planning documents and programs. However, these open spaces have been diminished bit by bit over time. The city’s growing need for land to build on had its impact just like the development of major traffic routes. On the one hand a lively debate has emerged: the Green Finger’s qualities, their ecological, aesthetical and cultural significance become increasingly important. Yet on the other hand decision makers still tend to put greenfield building activity first. A lot of efforts in striving for inner development are undermined by the ever growing demand for space. The urban sprawl continues, although various kinds of sanctuaries have been added to the urban and landscape planners’ equipment. The growing urban framework with its semidetached and single family houses does not come to a halt.