A market-based smart grid approach to increasing power grid capacity without physical grid expansion

Bagemihl, Joachim; Boesner, Frank; Riesinger, Jens; Künzli, Michael; Wilke, Gwendolin; Binder, Gabriela; Wache, Holger; Laager, Daniel; Breit, Jürgen; Wurzinger, Michael; Zapata, Juliana; Ulli-Beer, Silvia; Layec, Vincent; Städler, Thomas; Stabauer, Franz

doi:10.1007/s00450-017-0356-5

Cited by 6 publications

(2 citation statements)

References 13 publications

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“…The PA business model presupposes that the currently redundant grid capacity used to provide today's high level of security of supply-the "n-1 security"-can be utilized by conditional loads, thereby attaining additional capacity in the existing grid infrastructure. Conditional loads are subject to a simple security of supply for a certain time span, while keeping the n-1 security for all other loads [60].…”

Section: Design Of the Power Alliance Business Modelmentioning

confidence: 99%

Combining Business Model Innovation and Model-Based Analysis to Tackle the Deep Uncertainty of Societal Transitions—A Case Study on Industrial Electrification and Power Grid Management

et al. 2021

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Creating new business models is crucial for the implementation of clean technologies for industrial decarbonization. With incomplete knowledge of market processes and uncertain conditions, assessing the prospects of a technology-based business model is challenging. This study combines business model innovation, system dynamics, and exploratory model analysis to identify new business opportunities in a context of sociotechnical transition and assess their prospects through simulation experiments. This combination of methods is applied to the case of a potential business model for Distribution System Operators aiming at ensuring the stability of the electrical grid by centralizing the management of flexible loads in industrial companies. A system dynamics model was set up to simulate the diffusion of flexible electrification technologies. Through scenario definition and sensitivity analysis, the influence of internal and external factors on diffusion was assessed. Results highlight the central role of energy costs and customer perception. The chosen combination of methods allowed the formulation of concrete recommendations for coordinated action, explicitly accounting for the various sources of uncertainty. We suggest testing this approach in further business model innovation contexts.

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Section: Design Of the Power Alliance Business Modelmentioning

confidence: 99%

Combining Business Model Innovation and Model-Based Analysis to Tackle the Deep Uncertainty of Societal Transitions—A Case Study on Industrial Electrification and Power Grid Management

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…The PA business model presupposes that the currently redundant grid capacity used to provide today's high level of security of supplythe "n-1 security" -can be utilized by conditional loads, thereby attaining additional capacity in the existing grid infrastructure. Conditional loads are subject to a simple security of supply for a certain time span, while keeping the n-1 security for all other loads [60].…”

Section: Design Of the Power Alliance Business Modelmentioning

confidence: 99%

Combining Business Model Innovation and Model-based Analysis to Tackle the Deep Uncertainty of Societal Transitions – A Case Study on Industrial Electrification and Power Grid Management

Riveros¹,

Speich²,

West³

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

Creating new business models is crucial for the implementation of clean technologies for industrial decarbonization. With incomplete knowledge of market processes and uncertain conditions, assessing the prospects of a technology-based business model is challenging. This study combines business model innovation, system dynamics and exploratory model analysis to identify new business opportunities in a context of socio-technical transition and assess their prospects through simulation experiments. Furthermore, insights are visualized in a roadmap to coordinate action among the actors involved. This combination of methods is applied to the case of a business model aiming at ensuring stability of the electrical grid by centralizing the management of flexible loads in industrial companies. A system dynamics model was set up to simulate the diffusion of flexible electrification technologies. Through scenario definition and sensitivity analysis, the influence of internal and external factors on diffusion was assessed. Results highlight the central role of energy costs and customer perception. The chosen combination of methods allowed the formulation of concrete recommendation for coordinated action, explicitly accounting for the various sources of uncertainty. We suggest testing this approach in further business model innovation contexts.

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Power Grid Capacity Extension with Conditional Loads Instead of Physical Expansions

Christen

Layec

Wilke

et al. 2021

Communications in Computer and Information Science

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A market-based smart grid approach to increasing power grid capacity without physical grid expansion

Cited by 6 publications

References 13 publications

Combining Business Model Innovation and Model-Based Analysis to Tackle the Deep Uncertainty of Societal Transitions—A Case Study on Industrial Electrification and Power Grid Management

Combining Business Model Innovation and Model-Based Analysis to Tackle the Deep Uncertainty of Societal Transitions—A Case Study on Industrial Electrification and Power Grid Management

Combining Business Model Innovation and Model-based Analysis to Tackle the Deep Uncertainty of Societal Transitions – A Case Study on Industrial Electrification and Power Grid Management

Power Grid Capacity Extension with Conditional Loads Instead of Physical Expansions

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