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Jan von Appen

Researcher at Technische Universität Darmstadt

Publications -  5
Citations -  173

Jan von Appen is an academic researcher from Technische Universität Darmstadt. The author has contributed to research in topics: Microgrid & Distributed generation. The author has an hindex of 5, co-authored 5 publications receiving 147 citations.

Papers
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Proceedings ArticleDOI

Microgrid Evolution Roadmap

TL;DR: The CIGRE C6.22 Working Group, Microgrid Evolution Roadmap as discussed by the authors has recently finalized its first Technical Brochure, which describes the main elements required to justify, develop, and implement viable microgrids, which the Group defined as follows: Microgrids are electricity distribution systems containing loads and distributed energy resources.
Proceedings ArticleDOI

Assessment of the economic potential of microgrids for reactive power supply

TL;DR: The economic potential of DERs coordinated in a microgrid to provide reactive power and voltage support at its point of common coupling is outlined.

Microgrid Evolution Roadmap Engineering, Economics, and Experience

TL;DR: The CIGRE C6.22 Working Group, Microgrid Evolution Roadmap as mentioned in this paper has recently finalized its first Technical Brochure, which describes the main elements required to justify, develop, and implement viable microgrids, which the Group defined as follows: Microgrids are electricity distribution systems containing loads and distributed energy resources.
Proceedings ArticleDOI

Integrated energy microgrids for community-scale systems: Case study research in the Azores islands

TL;DR: In this article, an overview of the current work in Portugal and in the USA on the sustainability-sound technology choice and operation planning of integrated community-scale microgrids is done in this paper.
Journal Article

Application of the Software as a Service Model to the Control of Complex Building Systems

TL;DR: These models as well as the SaaS architecture employed by LBNL researchers to provide asset scheduling services to UC Davis are described and the peak demand, emissions, and cost implications of the asset operation schedule and investments suggested by this optimization model are analysed.