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  • Publication
    Commentary: transitions research and sustainable tourism
    ( 2024)
    Köhler, Jonathan orcid-logo
    This commentary discusses the growing connections between sustainable tourism research and the sustainability transitions literature. The common ground between sustainability transitions and sustainable tourism starts from the problem definition of unsustainability in tourism and the consequent need for system change. Research into sustainable tourism engages with several areas discussed in the recent sustainability transitions research agenda. These include: understanding radical innovation for sustainability that involves (socio-technical) system level change; the politics and power struggles in transitions processes; organisational and industrial aspects of sustainability transitions; the geography of transitions; and ethical/just transitions. The papers in this special issue also show that evolutionary economic geography (EEG) views on sustainability transitions in tourism are in line with the concepts of innovation and change in the multi-level perspective on sustainability transitions (MLP). This should enable a fruitful interaction between the two fields of sustinability transitions and sustainable touism.
  • Publication
    The Human's Comfort Mystery
    ( 2022)
    Wenninger, Simon
    ;
    Wiethe, Christian
    The constant increase of intermittent renewable energies in the electricity grid complicates balancing supply and demand. Thus, research focuses on solutions in demand‐side management using energy flexibility to resolve this problem. However, the interface between demand‐side management and human behavior is often insufficiently addressed, although further potential could be leveraged here. This paper elaborates on the effect of light color on humans’ temperature and comfort perception in connection to energy flexibility. Researchers have found that people perceive blue light as colder and red light as warmer. To this end, we evaluate the effect of light color in a case study for a German industrial facility assuming sector‐coupled electric heating. We simulate the entire heating period from October to April in an hourly granularity, using the well‐established real options analysis and binomial trees as a decision support system to heuristically minimize energy expenditures by utilizing deferral options when energy prices are high. Our results show a 12.5% reduction in heating costs for sector‐coupled electric heating, which extrapolated leads to CO2‐eq emission savings of over 34,000 tons per year for the entire German industry, thereby supporting the energy transition.
  • Publication
    Artificial Intelligence for Electricity Supply Chain automation
    ( 2022)
    Richter, Lucas
    ;
    Lehna, Malte
    ;
    Marchand, Sophie
    ;
    Scholz, Christoph
    ;
    Dreher, Marian Alexander orcid-logo
    ;
    Klaiber, Stefan
    ;
    Lenk, Steve
    The Electricity Supply Chain is a system of enabling procedures to optimize processes ranging from production to transportation and consumption of electricity. The proportion of distributed energy sources within the electricity system increases steadily, which necessitates an improved monitoring capability to ensure the overall reliability and quality of the Electricity Supply Chain. Automation is strongly required to process the growing amount of data. Thus, it is inevitable to handle large amounts of heterogeneous data and process the information using forecasting and optimization techniques. Artificial Intelligence techniques are crucial for extending human cognitive abilities in these tasks. In our work, we synthesize the main impacts of the Artificial Intelligence paradigm on the automation of the Electricity Supply Chain. We describe the emerging automation through Artificial Intelligence in every layer of the Smart Grid Architecture Model and highlight state-of-the-art approaches. In the review, we focus on the following Electricity Supply Chain functionalities: generation, maintenance, pre-processing, analysis, forecasting, optimization, and trading within energy systems. After investigating the individual perspectives, we examine the potential implementation of a fully automated Electricity Supply Chain. Lastly, we discuss perspectives and limitations for the transformation from conventional to automated Electricity Supply Chains, specifically in terms of human interaction, Artificial Intelligence adaptation, energy transition, and sustainability.
  • Publication
    The infrastructure transition canvas: A tool for strategic urban infrastructure planning
    ( 2022)
    Hohmann, Claudia orcid-logo
    ;
    Truffer, Bernhard
    Increasing pressures resulting from global environmental and societal changes urge cities to adapt their infrastructures. Strategic planning in local governments and utilities has to anticipate these challenges and translate them into innovation and investment strategies. In this setting, a multitude of actors, their interests, and value orientations have to be considered in decision-making. Else, innovation projects are likely to meet resistance and fail. We outline how business model thinking can help navigate the roles and interests of a variety of stakeholders in nature-based infrastructure implementation. This leads to proposing the tool of 'Infrastructure Transition Canvas' (ITC), which draws on insights from business model innovation, and its recent uptake by transition scholars. Potential benefits of applying the ITC are illustrated by the case of urban stormwater management in Germany. We discuss how the ITC may support complex investment decisions, and pave the way to sustainable urban infrastructure transitions.
  • Publication
    Functions of innovation systems
    ( 2007)
    Hekkert, M.P.
    ;
    Suurs, R.A.
    ;
    Negro, S.O.
    ;
    Kuhlmann, S.
    ;
    Smits, R.E.
    The central idea of this paper is that innovation systems are a very important determinant of technological change. We describe that the emergence of a new innovation system and changes in existing innovation systems co-evolve with the process of technological change. Therefore, it is necessary to create more insight in the dynamics of innovation systems. Traditional methods of innovation system analysis that mainly focus on the structure of innovation systems have proven to be insufficient. Therefore, we propose a framework that focuses on a number of processes that are highly important for well performing innovation systems. These processes are labeled as ""functions of innovation systems"". After explaining this framework and embedding it in existing literature, we propose a method for systematically mapping those processes taking place in innovation systems and resulting in technological change. This method can be characterized as a process analysis or history event analysis. Clarifying examples are taken from the empirical field of Sustainable Technology Development.