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Business & Information Systems Engineering

, Volume 61, Issue 6, pp 767–769 | Cite as

Call for Papers, Issue 3/2021

Energy Informatics
  • Philipp StaudtEmail author
  • Sebastian Lehnhoff
  • Richard Watson
Call for Papers

1 Special Issue

Energy Informatics is based on the precept that adding information engineering to the energy domain increases energy efficiency and renewable energy utilization, and reduces associated carbon emissions [Energy + Information < Energy (Watson et al. 2010)]. Information engineering in this context is the practice of information processing and engineering with methods from computer science, information systems, information technology, and statistics. Scholars from these disciplines are well-positioned to have a significant impact on the successful transition to a renewable energy society operated at high levels of energy efficiency. The energy domain encompasses, among other areas, the management and operation of generation facilities, infrastructure, or the consumption processes. The pressing societal challenge to create an efficient renewable society is a grand opportunity for informatics scholars to apply their systems thinking skills and information technology knowledge to make a significant contribution to this information-intensive problem. Particularly, because energy transition requires the acquisition, processing, and analysis of sector-relevant data to optimize all processes along the value chain of a highly dynamic and continuously changing energy system.

Fossil-fuel based energy generation is one of the major origins of greenhouse gases and contributes largely to global warming. Consequently, many members of the international community have agreed to reduce their carbon footprint dramatically over the next decades. The decarbonization of energy systems is therefore an objective for many countries and organizations. This comes with a variety of challenges. Major renewable sources, such as solar and wind, are intermittent, and it is a challenge to balance supply and demand at all times. Additionally, power grids are not equipped to deal with peaks in renewable generation, and power systems without sufficient conventional generation are not prepared for corresponding troughs. These are just a few examples of the challenges to create an energy system that is run without fossil fuel (Taylor et al. 2016).

A decarbonized energy system needs to be supported by advanced information and communication systems, which need to be developed, tested, and interconnected. This affects the entire value chain of the energy system. Therefore, this issue addresses topics that are at the intercept of engineering, economics, information systems, and information technology at all levels of the energy system, from generation to national policy, that are embraced by Energy Informatics.

One major technological development that may aid in the transition to a more sustainable energy system is its ongoing digitalization. The increasing use of smart meters enables a better understanding of customer behavior for residential, commercial, and industrial consumers. Furthermore, they could be used to monitor organizational and household energy consumption in real-time. Additionally, a variety of energy related system data is publicly available allowing for the development of software that can aid in the management of energy systems. Artificial intelligence and data analytics can be used to extract value from available data. These methods, can, for example, be applied to energy markets to handle demand and supply fluctuations, find an optimal marketing strategy, and to minimize energy procurement costs. Therefore, energy informatics research needs to combine the perspectives of electrical engineering, energy economics, and information technology.

In its course, the renewable energy transition may strongly affect residential households. Electricity is a commodity that needs to be available at all times, though not always available for all purposes (e.g., charging an electric vehicle) and households are often not aware of the implications of their behavior. However, households can become empowered regarding their energy use through smart meters as well as through the decreasing price for decentralized small-scale energy generation units, such as solar panels, and the decreasing costs for electrical storage capacity. Furthermore, increasing market penetration by electric vehicles might strongly change residential consumption patterns. It is therefore highly important to develop strategies and tactics for households that allow them to optimally use their available resources and monetize their flexibility, such as when they charge their electric vehicle or operate heating and cooling systems. This can be achieved through information systems designed in a way that consumers retain ultimate control and that complexity is manageable. This includes information systems that support local market designs where prosumers and consumers can trade. In turn, such household optimization also has distributional effects within societies as network tariffs are often volume-based and are therefore distributed among fewer consumers. Large consumers might develop demand and supply-side management strategies to reduce their energy costs and thereby contribute to grid stability. While many authors have considered this in theory, it is still unclear whether such strategies would be used in practice or, in other words, if the expected financial benefits are sufficient for such strategies to be adopted at scale.

For renewable generators, it will be important to develop long-term marketing strategies to reduce their market risk under the uncertainty of volatile generation, prices, and weather. Using historical weather patterns for demand and supply planning might be problematic given that climate change can make extreme weather conditions more common. There is a need to rethink how to forecast short- and long-term demand and supply and examine the potential to apply AI methods that can learn from recent events.

Beyond the generation and consumption of electricity, other energy sectors also need to be decarbonized such as heat or mobility. This includes grid and market integration of electric vehicles, power-to-gas technologies, and the provision of heat and cooling services. All of these areas require a careful online-optimization using forecasting techniques and an economic sizing of the needed energy infrastructure and storages.

Energy systems need to be carefully operated. System operators usually acquire ancillary services such as balancing or reactive power to ensure a stable grid condition. The intermittency of renewable energy will likely increase the need for these services. Furthermore, power system congestion might stimulate the need for new solutions such as dynamic line ratings or optimal switching protocols. All of these areas can be supported using advanced information systems and corresponding data.

Finally, the transition to a digitalized renewable energy system needs a communication structure. This includes the communication of current and immediate future demand and supply, ideally the generation (e.g., a windmill) and consumption unit (an appliance in a household), as well as grid state variables and other system-related data. Such an information-intensive system needs to be designed and the wide range of relevant stakeholders needs to be engaged in the process. Furthermore, privacy, data and national security issues need to be addressed.

This special issue welcomes a diversity of submissions and research methods that deliver applicable knowledge because the transition to a renewable society is in urgent need of implementable practices.

In their submission, authors should clearly state the problem they address, why it is important, and how their research creates applicable knowledge.

2 Submission Guidelines

Please submit papers by 1 July 2020 at the latest via the journal’s online submission system (http://www.editorialmanager.com/buis/). Please observe the instructions regarding the format and size of contributions to Business & Information Systems Engineering (BISE). Papers should adhere to the submission general BISE author guidelines (http://www.bise-journal.com/author_guidelines).

All papers will be reviewed anonymously (double-blind process) by at least two referees with regard to relevance, originality, and research quality. In addition to the editors of the journal, including those of this special focus, distinguished international professionals with scientific and practical backgrounds will be involved in the review process.

3 Schedule

Paper submission due

1 July 2020

Notification of authors

1 September 2020

Revision due

2 November 2020

Notification of authors

16 December 2020

Completion of a second revision (if needed)

21 January 2021

Anticipated publication date

June 2021

References

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Copyright information

© Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature 2019

Authors and Affiliations

  • Philipp Staudt
    • 1
    Email author
  • Sebastian Lehnhoff
    • 2
  • Richard Watson
    • 3
  1. 1.Research Group Smart Grids & Energy MarketsKarlsruhe Institute of TechnologyKarlsruheGermany
  2. 2.Chair of Energy InformaticsCarl von Ossietzky University OldenburgOldenburgGermany
  3. 3.Terry CollegeUniversity of GeorgiaAthensUSA

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