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Various flexibility options in power systems, such as storage, grid expansion, and demand flexibility, gain increasing importance to balance the intermittent power supply of renewables. On the demand side, especially the industrial sector represents promising potential for Demand Response, i.e., the alignment of its power demand with the current power supply of renewables. However, there exist various obstacles that currently prevent companies from investing in new or (fully) exploiting existing flexibility potentials. In this paper, we investigate how economic, regulatory, technological, organizational, behavioral, informational, and competence obstacles pose barriers for companies to adjust their power consumption flexibly. For this purpose, we combine both a structured literature analysis and a case study. For the case study, we conduct 16 interviews with energy experts from companies from different industries. Our findings reveal that due to technical risk of disrupting the production process, lacking revenues, and too low cost savings, companies do not flexibilize their power consumption. Moreover, in particular, contradictory legislative incentives and missing IT standardization and interoperability represent key obstacles. Therefore, our results constitute a basis for targeted policy making in order to foster the exploitation of (existing) flexibility potential of industrial companies on the demand side.
The enormous power consumption of Bitcoin has led to undifferentiated discussions in science and practice about the sustainability of blockchain and distributed ledger technology in general. However, blockchain technology is far from homogeneous - not only with regard to its applications, which now go far beyond cryptocurrencies and have reached businesses and the public sector, but also with regard to its technical characteristics and, in particular, its power consumption. This paper summarizes the status quo of the power consumption of various implementations of blockchain technology, with special emphasis on the recent 'Bitcoin Halving' and so-called 'zk-rollups'. We argue that although Bitcoin and other proof-of-work blockchains do indeed consume a lot of power, alternative blockchain solutions with significantly lower power consumption are already available today, and new promising concepts are being tested that could further reduce in particular the power consumption of large blockchain networks in the near future. From this we conclude that although the criticism of Bitcoin's power consumption is legitimate, it should not be used to derive an energy problem of blockchain technology in general. In many cases in which processes can be digitised or improved with the help of more energy-efficient blockchain variants, one can even expect net energy savings.
Ein Blick auf aktuelle Entwicklungen bei Blockchains und deren Auswirkungen auf den Energieverbrauch
(2020)
Der enorme Stromverbrauch von Bitcoin hat dazu geführt, dass in Wissenschaft und Praxis oft eher undifferenziert Diskussionen über die Nachhaltigkeit von Blockchain- bzw. Distributed-Ledger-Technologie allgemein geführt werden. Allerdings ist die Blockchain-Technologie bereits heute alles andere als homogen – nicht nur hinsichtlich ihrer Anwendungen, die mittlerweile weit über Kryptowährungen hinaus in Wirtschaft und öffentlichen Sektor reichen, sondern auch bezüglich ihrer technischen Charakteristika und insbesondere ihres Stromverbrauchs. Dieser Beitrag fasst den Status quo des Stromverbrauchs verschiedener Implementierungen von Blockchain-Technologie zusammen und geht dabei besonders auf das kürzlich erfolgte Bitcoin Halving sowie sogenannte ZK-Rollups ein. Wir argumentieren, dass Bitcoin und andere Proof-of-Work-Blockchains zwar in der Tat sehr viel Strom verbrauchen, aber bereits heute alternative Blockchain-Lösungen mit deutlich geringerem Stromverbrauch verfügbar sind und weitere vielversprechende Konzepte erprobt werden, die gerade den Stromverbrauch von großen Blockchain-Netzwerken in naher Zukunft noch einmal deutlich senken könnten. Daraus schließen wir, dass die Kritik am Stromverbrauch von Bitcoin zwar legitim ist, jedoch daraus nicht eine Energieproblematik von Blockchain-Technologie generell abgeleitet werden darf. In vielen Fällen, in denen mithilfe von energieeffizienteren Blockchain-Varianten Prozesse digitalisiert oder verbessert werden können, darf sogar per Saldo durchaus mit Energieeinsparungen gerechnet werden.
Balancing mechanisms assure grid stability. Especially well-suited for balancing purposes are large-scale storage facilities (SFs). However, the potential for these is in major parts set by geographic realities. On a transnational level, offering that potential to regions in need of balancing power (BP) does not often appear to be economically viable - an issue that is frequently related to the construction of power lines. Thus, in this article, we illustrate an early version of a design artifact giving remote balancing mechanisms access to a local BP market without deploying power lines: utilization of data centers (DCs) is typically very low (30-40%) representing a cheap source of demand flexibility. We thus let one DC participate in an existing BP market while tying a second to a remote balancing mechanism. By doing so, the design artifact enables both load and BP to flow seamlessly between distinct power markets contributing to grid stability and efficient utilization of balancing mechanisms. Within this extended summary, we perform a preliminary evaluation of the design artifact based on real-world data.
Information technology (IT) units within organizations pursue both organizational reliability and agility goals. Reliability ensures the stability and business continuity of organizations, whereas agility helps to detect and exploit market opportunities. In our research, we study projects in 19 organizations and unravel the relationship between agility and reliability. We observe that in certain cases reliability can undermine agility and vice versa. Global rules, routines, and procedures can hinder organizational agility whereas responding creatively for agility can locally undermine global organizational reliability. Further, we find that organizations often use decoupling to deal with this trade-off. Although decoupling enables them to be agile and reliable at the same time, it risks undermining both capabilities in the future, by encouraging the accumulation of technical debt. We find indications of how technical debt limits opportunities to creatively respond and can increase vulnerabilities.
The growing share of renewable energy generation based on fluctuating wind and solar energy sources is increasingly challenging in terms of power grid stability. Industrial demand-side response presents a promising way to balance energy supply and consumption. For this, energy demand is flexibly adapted based on external incentives. Thus, companies can economically benefit and at the same time contribute to reducing greenhouse gas emissions. However, there are currently some major obstacles that impede industrial companies from taking part in the energy markets. A broad specification analysis systematically dismantles the existing barriers. On this foundation, a new end-to-end ecosystem of an energy synchronization platform is introduced. It consists of a business-individual company-side platform, where suitable services for energy-oriented manufacturing are offered. In addition, one market-side platform is established as a mediating service broker, which connects the companies to, e.g., third party service providers, energy suppliers, aggregators, and energy markets. The ecosystems aim at preventing vendor lock-in and providing a flexible solution, relying on open standards and offering an integrated solution through an end-to-end energy flexibility data model. In this article, the resulting functionalities are discussed and the remaining deficits outlined.
Artificial intelligence currently counts among the most prominent digital technologies and promises to generate significant business value in the future. Despite a growing body of knowledge, research could further benefit from incorporating technological features, human actors, and organizational goals into the examination of artificial intelligence-enabled systems. This integrative perspective is crucial for effective implementation. Our study intends to fill this gap by introducing affordance-experimentation-actualization theory to artificial intelligence research. In doing so, we conduct a case study on the implementation of predictive maintenance using affordance-experimentation-actualization theory as our theoretical lens. From our study, we find further evidence for the existence of the experimentation phase during which organizations make new technologies ready for effective use. We propose extending the experimentation phase with the activity of ‘conceptual exploration’ in order to make affordance-experimentation-actualization theory applicable to a broader range of technologies and the domain of AI-enabled systems in particular.
Sustainability’s Coming Home: Preliminary Design Principles for the Sustainable Smart District
(2019)
Consumer trends like local consumption, sharing of property, and environmental awareness change our habits and thereby our surroundings. These trends have their origin in our direct environment, in the districts of our city or community, where we live and socialize. Cities and districts are changing to “smart cities” and “smart districts” as a part of the ongoing digitalization. These changes offer the possibility to entrench the idea of sustainability and build a platform-based ecosystem for a sustainable smart district. This research aims to identify guidelines in form of preliminary design principles (PDPs) for sustainable smart districts. To achieve this, we conduct a structured literature review. On this basis, we derive and develop PDPs with the help of semi-structured interviews and a non-representative sample of the German population. The resulting nine PDPs describe a first insight into the design of sustainable smart districts.
Industrial demand response uses a multitude of energy flexibility measures. Their planning and control requires various production IT systems. A widely accepted approach to classify these inhouse IT systems are the levels of the automation pyramid in companies. This paper broadens the scope of this concept to overcome the limitation to companies’ (virtual) borders by including required IT systems that refine and monetarize a company’s energy flexibility, e.g. energy markets, aggregators, etc. Therefore, a holistic approach for the classification of functionalities for industrial demand response across companies and energy markets is developed and applied exemplarily.