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Erschienen in:
Stochastic Bounds and Histograms for Active Queues Management and Networks Analysis Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

A Smart Neighbourhood Simulation Tool for Shared Energy Storage and Exchange

verfasst von : Michael Biech, Timo Bigdon, Christian Dielitz, Georg Fromme, Anne Remke

Erschienen in: Analytical and Stochastic Modelling Techniques and Applications

Verlag: Springer International Publishing

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Abstract

Funding policies and legislation by the European Union for the installation of photovoltaic (PV) arrays in the residential sector have led to a steady and successful increase in renewable energy generation by small-scale private producers. In Germany, even the installation of local storage systems is being subsidised. Differing feed-in tariffs, as well as variable production and demand profiles result in very dissimilar amortisation curves for such investments. This paper presents a software tool which allows for the computation of such curves by means of simulation in MATLAB/Simulink. It enables the exploration of a wide search space by manipulating settings on the levels of individual houses, as well as entire neighbourhoods which might want to share in (the cost of) local energy storage. Additionally, a case study underlines the tool’s potential, as well as benefits of shared energy storage systems.

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Vorheriges Kapitel Fluid Approximation of Pool Depletion Systems
Nächstes Kapitel Fluid Analysis of Spatio-Temporal Properties of Agents in a Population Model
Fußnoten
1
kWp = Kilowatt-peak, i.e. the power rating of a photovoltaic array in kilowatts (kW) at standard test conditions [2].
 
2
Technically this is inaccurate, since compensation is only paid starting with the first day that electricity is produced and fed into the grid instead of depending on the date of installation [1].
 
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Metadaten
Titel
A Smart Neighbourhood Simulation Tool for Shared Energy Storage and Exchange
verfasst von
Michael Biech
Timo Bigdon
Christian Dielitz
Georg Fromme
Anne Remke
Copyright-Jahr
2016
Buch
Analytical and Stochastic Modelling Techniques and Applications

Print ISBN: 978-3-319-43903-7

Electronic ISBN: 978-3-319-43904-4

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-43904-4_6

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