An effective solution to boost generation from waves: Benefits of a hybrid energy storage system integration to wave energy converter in grid-connected systems.

Background: Wave energy represents one of the most promising renewable energies due to its great theoretical potential. Nevertheless, the electrical compliance of grid-connected systems is a great issue nowadays, due to the highly stochastic nature of wave energy. Methods: In this paper, a Hybrid Energy Storage System (HESS) consisting of a Li-ion battery and a flywheel is coupled to a Wave Energy Converter (WEC) that operates in grid connected mode. The study is performed using real yearly wave power profiles relating to three different sites located along the European coasts. The Simultaneous Perturbation Stochastic Approximation (SPSA) principle is implemented as real-time power management strategy for HESS in wave energy conversion systems. Results: Obtained results demonstrate how the proposed HESS and the implementation of the SPSA power management coupled to a WEC allow a reduction of more than 80% of power oscillations at the Point of Common Coupling (PCC), while proving the robustness of the developed management strategy over the investigated sites. Moreover, the average energy penalty due to the HESS integration results slightly higher than 5% and battery solicitation is reduced by more than 64% with respect to the flywheel solicitation, contributing to extend its lifetime. Conclusions: HESS integration in renewable generation systems maximizes the WEC production while smoothing the power at the PCC. Specifically, flywheel-battery HESS together with the implemented power management strategy could provide a great flexibility in the view of increasing power production from waves, strongly mitigating the variability of this source while enhancing grid safety and stability.

LCA analysis of food waste co-digestion.

The i-REXFO LIFE project designs an innovative business model with the objective of reducing significantly the amount of landfilled food waste. Given the availability of supermarket food waste in the Umbria region (Italy), the logistics is optimized using a Vehicle Routing Problem Solver, mass and energy balances of the biogas plant are partly calculated and partly measured from a real biogas plant. The data obtained from food waste transport and anaerobic co-digestion process are used as input for LCA analysis. The aim of the methodology is to assess the environmental and economic benefit of the substitution of energy crops (like corn silage) with food waste in anaerobic digestion. Two approaches are adopted: consequential LCA and attributional LCA. Only one impact category is taken into account: climate change. This decision has been taken to focus on two decision making criteria (economic feasibility and GHG emissions reduction). The results show that a reduction of 42% in the carbon footprint of the electricity produced from the biogas plant can be obtained by substituting about 9900 t of corn silage with 6600 t of food waste. Through the combined use of economic analysis and consequential LCA it has been possible to identify an optimized scenario in which: food waste produced from food industries is collected and used to produce energy in Expired Food Energy chains (EFE), while the food obtained from supermarkets is used to promote charity initiatives in actions aiming at the Reduction of Expired Food waste (REF).