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BMW, Alenia Aermacchi, Ford, and other leading companies and research institutions rely on the modeFRONTIER design optimization platform to develop lighter products. 

Top industry players choose ESTECO technology to effectively set up design tasks associated with EV/HEV systems and to quickly identify the right engineering strategies to cope with highly constrained design problems. 

modeFRONTIER streamlines the HE design process and pinpoints the best configuration in terms of performance, efficiency and sizing. 

Optimization Accelerating Innovation in Alternative Energy Technologies

Nowadays, while renewable energies are in most countries' politcal and economical agendas, new technologies are on the rise helping traditional power industries reducing Co2 emissions as well as fuelling innovative alternative resources like algae fuel, biomass and floating wind farms.

The exploitation of these resources, as opposed to fossil fuel ones, benefits from the wide use of top-of-the-range software solutions. Simulations, modeling, visualization and statistical analytics are applied to develop and optimize the performance of the resources, accelerating innovation into the market and saving overall costs.

The goal of achieving sustainable performance is therefore supported by computational simulations as the conventional trial-and-error approach is considered too time-consuming and not efficient anymore. Optimization techniques are applied to improve the continuing challenges associated with the design of green energy devices, and recent technological advances show how an enabling platform for achieving a truly integrated system can make even the process of producing the devices sustainable.
 

 

The aim of the optimization project is to minimize thermal variation across single substrate and across a group of substrates during radiant heating stage. Benefits obtained In head-to-head competitions best “human guided” (case-by-case) studies resulted in system design with ±10-20 deg.C thermal uniformity and took several weeks to accomplish, while computer optimization based approach allowed to quickly yield multiple solutions capable of reaching ± 3 deg. C.

Clean energy resources including a wind-turbine and hydroelectric power generation are expected as one of the candidates to resolve the environmental issues facing us. Following the expectation, the demand for generators which have high power and efficiency at low speed revolution and low cost is increasing.

Wind generation has been gaining increasing importance over the last decades and there is great interest in enhancing wind turbine performances and decreasing costs. modeFRONTIER supported the researchers (at University of Trieste and Ansaldo) in identifying the optimal design able to meet simultaneously multiple objectives.

Industrial halls are characterized by their relatively high roof-to-floor ratio, which facilitates ready deployment of renewable energy generation, such as photovoltaic (PV) systems, on the rooftop. This paper performs a cost–benefit analysis in which the monetary return due to electricity generation of PV system is stacked against the annualized cost of the PV system investment.

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