H
Holger C. Hesse
Researcher at Technische Universität München
Publications - 75
Citations - 3049
Holger C. Hesse is an academic researcher from Technische Universität München. The author has contributed to research in topics: Battery (electricity) & Energy storage. The author has an hindex of 22, co-authored 68 publications receiving 2188 citations. Previous affiliations of Holger C. Hesse include Ludwig Maximilian University of Munich.
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Lithium-Ion Battery Storage for the Grid—A Review of Stationary Battery Storage System Design Tailored for Applications in Modern Power Grids
TL;DR: In this article, the authors present a review of battery energy storage systems for serving grid support in various application tasks based on real-world projects and their characteristics with respect to performance and aging.
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Nanostructured Organic and Hybrid Solar Cells
TL;DR: The aim of this review is not to give a summary of all recent results in organic and hybrid solar cells, but rather to focus on the fabrication, device physics, and light trapping properties of nanostructured Organic and hybrid devices.
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Strong efficiency improvements in ultra-low-cost inorganic nanowire solar cells.
Kevin P. Musselman,Andreas Wisnet,Diana C. Iza,Holger C. Hesse,Christina Scheu,Judith L. MacManus-Driscoll,Lukas Schmidt-Mende +6 more
TL;DR: Low-cost, non-toxic, inorganic solar cell technologies have received comparatively little attention but have both the potential for annual electricity production in excess of worldwide demand and material extraction costs less than that of crystalline silicon.
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Economics of Residential Photovoltaic Battery Systems in Germany: The Case of Tesla’s Powerwall
TL;DR: In this paper, the economic benefit of the Powerwall for end-users with respect to various influencing parameters: electricity price, aging characteristics of the batteries, topology of battery system coupling, subsidy schemes, and retrofitting of existing PV systems is analyzed.
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Lithium-ion Battery Cost Analysis in PV-household Application
TL;DR: In this paper, the authors use a multi-parameter economic model which allows profitability estimation for BESS with sensitivity to both technical and economical parameters, such as battery end-of-life criterion, battery ageing behavior, electricity prices and storage investment costs.