Sizing Optimization Methodology of a Multisource Generator that Harvest the Energy in the Human Environment

This paper focuses on sizing optimization of a multisource generator (here: thermal and photovoltaic) that harvest the energy in the human environment. For this, we introduce energetic models of various elements constituting this generator: thermoelectric and photovoltaic modules, DC-DC boost converter and lithium-ion accumulator. Optimizing the sizing help us to underline the interest or not to introduce an extra conversion stage between the generator and the storage element, and thus to find the optimal architecture of multisource generator, in a given context of resources and consumer load.