Paper Info
Title
A Method for Dimensioning Micro-Scale Solar Energy Harvesting Systems Based on Energy Level Simulations
Abstract
Solar energy harvesting gains more and more attention in the field of wireless sensor networks. In situations, where these sensor systems are deployed outdoors, powering sensor nodes by solar energy becomes a suitable alternative to the traditional way of battery power supplies. Since solar energy, opposed to batteries, can be considered as an inexhaustible energy source, scavenging this source allows longer system lifetimes and brings wireless sensor networks closer to be an autonomous system with perpetual lifetime. Despite the possibility of designing and constructing these harvesting system, dimensioning becomes a crucial task to fit implemented components to application and load system demands. In this paper we present a way of dimensioning solar harvesting systems based on simulation. Method and implementation of component and system models are described on the basis of an example architecture that has been used in prior work. Furthermore we evaluate the model in comparison to deployment of the same architecture and show the suitability of using the simulation as a support to optimize choices for system parameters.
Year
DOI
Venue
2010
10.1109/EUC.2010.62
EUC
Keywords
Field
DocType
load system demand,system parameter,system model,energy level simulations,wireless sensor network,harvesting systems,longer system lifetime,solar energy,autonomous system,dimensioning micro-scale solar energy,sensor system,solar harvesting system,harvesting system,energy harvesting,energy states,wireless sensor networks,solar radiation,energy levels,capacitors,system modeling,computer architecture,modeling
Computer science,Energy harvesting,Solar energy,Solar power,Real-time computing,Autonomous system (mathematics),Energy source,Battery (electricity),Dimensioning,Wireless sensor network
Conference
Citations 
PageRank 
References 
2
0.65
7
Authors
3
Name
Order
Citations
PageRank
Sebastian Bader145.73
Torsten Scholzel220.65
B Oelmann37721.78