ICT, growth and productivity in the German energy sector – On the way to a smart grid?

Wissner, Matthias

doi:10.1016/j.jup.2010.07.001

Cited by 30 publications

(19 citation statements)

References 6 publications

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“…The benefits of using Smart Grids have already been reported, several review papers focused on the general configurations of SG [12,46,56], power electronic components [10,46,57,58], and energy management strategies and losses optimization [59][60][61][62]. Many researches in the networking can also be applied into SG communications [12,55,[63][64]. For the DG which is considered as one of the active elements connected into the distribution system, it is important that the generation source, such as those based on renewable technologies, is integrated, monitored, and controlled for possible dispatch.…”

Section: Smart Grid Security and Its Managementmentioning

confidence: 99%

Smart Grid and its future perspectives in Australia

Haidar

Muttaqi

Sutanto

2015

Renewable and Sustainable Energy Reviews

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Section: Smart Grid Security and Its Managementmentioning

confidence: 99%

Smart Grid and its future perspectives in Australia

Haidar

Muttaqi

Sutanto

2015

Renewable and Sustainable Energy Reviews

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“…First, technical uncertainty has an impact on the possible developments of the energy system in its complexity, accentuated by the requirements for integrating intermittent and decentralized power sources [8,[21][22][23]34,51]. Second, technical uncertainty also stems from the lack of (1) technology maturity [46,61,62]; (2) necessary technical skills and knowledge [47]; (3) open standards and advanced bi-directional communication systems [4,18,34,39,53]; and (4) real reflections about cyber security and data privacy issues [36,39,46,60,63].…”

Section: Literature Reviewmentioning

confidence: 99%

“…When considering the rising costs and technical uncertainty of smart grid, most scholars wonder about the existence of a reliable business model for smart grid deployment when no stabilized technical solution currently exists [14,22,29,42,61,62]. At present, no clear answer prevails.…”

Section: Literature Reviewmentioning

confidence: 99%

Uncertainty, vision, and the vitality of the emerging smart grid

Tricoire

2015

Energy Research & Social Science

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a b s t r a c tThis paper answers an important question consensually identified as crucial for smart grid roll-out. Our objective is to highlight the reasons for economic, technological and regulatory uncertainty continuing in the smart grid sector. The argument of this paper is that to face uncertainty, actors adopted strategic positioning but not systematically favoring the emergence of a structuring and shared vision of smart grid. However, converging visions are necessary to limit uncertainty and thus secure the sector's development and durability in the coming years.The results presented here are based on two methodological approaches. First, a social network analysis of worldwide relationships between smart grid actors has been performed to characterize the actors' positioning strategies. The paper identifies four categories of actors: local observers, global observers, experimenters, and central actors. Second, a qualitative analysis of semi-structured interviews with approximately 30 French smart grid stakeholders gave us information on discourses and perceptions of the sector's reality and constraints. It appeared that smart grid merges both long-established actors in the smart grid focal sector, i.e., energy, promoting a highly accurate but strictly energy-oriented perception, and new entrants coming from related sectors such as ICT, offering an open but indistinct perspective. Therefore, stakeholders diverge on the definition and potential source of added value.These results help to elucidate the transition of socio-technical systems. Indeed, at this very moment when contextual uncertainty remains high, it appears that actors from the focal sector play a crucial part in driving the current sector development, whereas new entrants remain unable to modify the sector's regime decisively. One can interpret this situation as a sign of the failure of the smart grid sector to emerge as such. Conversely, one can see here an evolution of focal actors' strategies regarding uncertainty in an innovative socio-technical system in transition. To solve this issue, further studies should be conducted both on the smart grid sector to see how it will evolve and on other sectors to search for similar trends.

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“…Since it is an important research challenge to explore the benefit of combining several renewable generators into a VPP, we allow for both the separate participation of variable power plants (such as wind farms) and their integration into a VPP [25]. The SEM's primary task is the computation of the real-time , ,…”

Section: Dmentioning

confidence: 99%

A smart grid simulation framework for electricity trading

Angstmann

Bracher

Bhat

et al. 2013

2013 10th IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC)

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In this paper we present our evolving work on developing an interactive simulation-framework for electricity trading in Smart Grids. This simulation framework is designed to enable real-time pricing, demand-side management, and distributed generation. A modular simulation architecture is proposed to address communication challenges and to allow efficient management. The simulator framework adopts a segregation of concerns design approach to allow for effective sand boxing and localization of concerns at the appropriate levels while allowing for structured information flows between the various simulator levels. For example, the control unit on the customer-level accounts for different preferences and behavioral patterns of consumers.

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ICT, growth and productivity in the German energy sector – On the way to a smart grid?

Cited by 30 publications

References 6 publications

Smart Grid and its future perspectives in Australia

Smart Grid and its future perspectives in Australia

Uncertainty, vision, and the vitality of the emerging smart grid

A smart grid simulation framework for electricity trading

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