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An optimal system size for a solar harvesting WSN node.
Table 4 shows that the initial capital cost is fixed because the optimal system size is the same for all average daily solar radiation values studied.
In the following section, we demonstrate the benefit of using our simulation framework to address the problem of finding the optimal system size for a solar harvesting WSN node.
Finally this paper presents the effect of the cost modeling parameters on the trends of the optimal system size, current density, length, channel height, and velocity for the two applications studied.
The optimal system size of a HP, an electric back-up heater and thermal storage are calculated for 37 scenarios to investigate the impact of on-site PV, variable electricity price, space heat demand and domestic hot water demand.
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Also, a model based optimization was performed for a whole year in order to obtain optimal system sizing.
The optimization is achieved by applying an operation strategy that maximizes the efficiency of the biomass power subsystem coupled with an optimization model based on the use of genetic algorithm (GA) to obtain the optimal system sizing.
They use genetic algorithms to find optimal system sizes.
These alternative electricity access solutions were designed using a decision support framework that considers optimal system sizing, reliability and efficiency.
An example of battery and solar panel sizing for a wireless sensor node is discussed in Section 'Optimal system size for a solar harvesting WSN node'.
Finally, a case study that demonstrates the relevance of our framework is presented in Section 'Optimal system size for a solar harvesting WSN node'.
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