Life cycle assessment of perovskite photovoltaics provides comprehensive insights into diverse environmental impacts and possible improvements in manufacturing sustainable devices.

Global optimization for sustainable design and synthesis of a large‐scale algae processing network under economic environmental criteria is addressed. An superstructure including 7800 routes proposed. Based on the superstructure, multiobjective mixed‐integer nonlinear programming (MINLP) model developed to simultaneously optimize unit cost global warming potential (GWP). To efficiently solve nonconvex MINLP with separable concave terms fractional in objective functions, strategy that...

We develop a novel superstructure of algal biorefinery processes for biological carbon sequestration and utilization, encompassing off-gas purification, algae cultivation, harvesting dewatering, lipid extraction, remnant treatment, biogas oil upgrading stages. Based on the superstructure, we propose mixed-integer nonlinear programming (MINLP) model to minimize unit utilization cost apply tailored branch-and-refine algorithm based successive piecewise linear approximation globally optimize...

This paper addresses the sustainable design and synthesis of manufacturing processes for making algal bioproducts. We propose by far most comprehensive superstructure capable producing biodiesel, hydrogen, propylene glycol, glycerol-tert-butyl ether, poly-3-hydroxybutyrate from microalgae. The major processing sections include cultivation, harvesting, lipid extraction, remnant treatment, biogas utilization, biofuel proneduction, bioproduct manufacturing. On basis superstructure, we integrate...

This paper addresses the optimal design and strategic planning of integrated biofuel petroleum supply chain system in presence pricing quantity uncertainties. The drop-in properties advanced hydrocarbon biofuels pose considerable potential for chains to leverage existing production distribution infrastructures chains, which may lead significant capital savings. To achieve a higher modeling resolution improve overall economic performance, we explicitly model equipment units material streams...

A bioconversion product and process network converts different types of biomass to various fuels chemicals via a plethora technologies. Reliable processing pathways should be designed considering the effect uncertain parameters, such as feedstock price biofuel demand. Given large-scale 194 technologies 139 materials/compounds, we propose two-stage adaptive robust mixed-integer nonlinear programming problem. The model allows for decisions at design operational stages made sequentially...

Life cycle optimization (LCO) enables static life analysis (LCA) and techno-economic to be performed dynamically for automatic generation of process alternatives. Existing LCO models are developed following an attributional LCA approach, which overlooks the environmental consequences in response changes market. In this study, we develop a consequential framework that simultaneously optimizes impacts economic performance. We propose general system boundary encloses processes linked by...

Fractional metrics, such as return on investment (ROI), are widely used for performance evaluation, but uncertainty in the real market may unfortunately diminish results that based nominal parameters. This article addresses optimal design of a large‐scale processing network producing variety algae‐based fuels and value‐added bioproducts under uncertainty. We develop by far most comprehensive with 46,704 alternative pathways. Based superstructure, two‐stage adaptive robust mixed integer...

We propose a novel process synthesis framework that combines product distribution optimization of chemical reactions and superstructure the flowsheet. A with set technology/process alternatives is first developed. Next, distributions involved are optimized to maximize profits effluent products. Extensive simulations then performed collect high‐fidelity data tailored optimal distributions. Based on simulation results, model formulated as mixed‐integer nonlinear program (MINLP) determine...

Technological advancements have enabled the active control of electromagnetic waves. Metalenses, known for their precision in wavefront shaping and functional versatility, represent a breakthrough optical modulation. This study addresses challenge achieving dual-wavelength multifunctionality metalens design. We developed experimentally validated metalenses with polarization dual-function multiplexing at discrete mid-wave infrared wavelengths, demonstrating high phase fidelity versatility. In...

The process design and synthesis of hydrocarbon biorefinery, which is composed fast pyrolysis, biocrude collection, hydroprocessing hydrogen production sections, under economic environmental considerations are concerned. A superstructure developed that includes multiple alternatives in each stage the flow diagram. bi‐criteria mixed integer nonlinear programming model proposed to maximize performance measured by net present value minimize global warming potential according life cycle...

We address the integration of two greenhouse gas (GHG) abatement options, namely, geological sequestration and microalgae biofixation, using a supply chain optimization approach. A multiscale, multiperiod, mixed-integer nonlinear programming (MINLP) model is proposed, which accounts for CO2 transportation pipeline network design, algae processing route, product selection, as well seasonality in source availability algal biomass productivity. The allows both supercritical feed gas. By Life...

This paper considers the issue of modeling pivot nonlinearity in a typical hard disk drive, taking into account viscous friction, Coulomb friction and hysteresis effects. It presents nonlinear compensator design, based on proposed model, to make compensated system behave like double integrator regardless magnitude input current. describes extensive experiments, carried out both time domain frequency domain, show effects effectiveness compensator.

A discontinuous projection based adaptive robust control (ARC) design is constructed for nonlinear systems transformable to the semi-strict feedback form without knowing bounds of parameter variations and uncertain nonlinearities. The proposed ARC only adapts actual physical parameters uses a fixed bound plus certain account possible destabilizing effect online adaptation. resulting controller achieves prescribed transient performance final tracking accuracy in general; exponential...

Three dynamic models of a smart materials robot are presented. First, Hamilton's approach is adopted to derive an accurate model expressed in partial differential equations, which too complicated be applicable engineering practice. Based on the equations model, assumed modes method and finite element employed two dimensional forms ordinary readily usable for controller design. All show that cannot simply taken same as pure flexible robot, parameters should properly chosen avoid divergent...

Abstract In this paper, neural networks (NNs) and adaptive robust control (ARC) design philosophy are integrated to performance‐oriented laws for a class of single‐input–single‐output (SISO) n th‐order non‐ linear systems. Both repeatable (or state dependent) unknown non‐linearities non‐repeatable such as external disturbances considered. addition, can exist in the input channel well. All but non‐linear functions approximated by outputs multi‐layer achieve better model compensation an...