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G. van de Kaa

Researcher at Delft University of Technology

Publications -  13
Citations -  260

G. van de Kaa is an academic researcher from Delft University of Technology. The author has contributed to research in topics: Dominance (economics) & Market share. The author has an hindex of 5, co-authored 13 publications receiving 187 citations.

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Selection of biomass thermochemical conversion technology in the Netherlands: A best worst method approach

TL;DR: In this article, three types of technologies are currently fighting the battle for standard dominance: combustion, pyrolysis, and gasification, and the relative importance (weights) of these factors were calculated.
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Realizing smart meter connectivity : Analyzing the competing technologies Power line communication, mobile telephony, and radio frequency using the best worst method

TL;DR: Studies of a subcomponent of the smart grid for a standard means of interface between the smart meter and the concentration point for collecting meter data show that experts believe that Power line communication has a high chance of becoming dominant and that the most important factor affecting standard success is technological superiority.
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Conflicting values in the smart electricity grid a comprehensive overview

TL;DR: In this article, the authors identify five groups of value conflicts in the smart electricity grid: consumer values versus competitiveness, IT enabled systems versus data protection, fair spatial distributions of energy systems versus system performance, market performance versus local trading, and individual access versus economies of scale.
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Conflicted by decarbonisation: Five types of conflict at the nexus of capabilities and decentralised energy systems identified with an agent-based model

TL;DR: In this paper, the authors explore capability conflicts in the deployment of decentralised energy systems and identify the affected population, and use agent-based modelling and the scenario discovery technique to identify capability conflicts and the populations that may be affected.
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Understanding platform competition through simulation: a research outline

TL;DR: The use of modelling and simulation is explored, along empirical cases, is a way to incorporate timing and strategic action delays in platform competition research, and the multi-level research agenda this opens up is explored.