Deadline Date: 30 September 2026
We invite researchers and practitioners to submit manuscripts to this Special Issue of RIMNI – International Journal of Numerical Methods for Calculation and Design in Engineering, focused on numerical methods, computational models, and simulation-driven design for hybrid ambient energy harvesting and ultra-low-power power management.
Hybrid harvesters combine multiple ambient sources—mechanical (piezoelectric/triboelectric), thermal, light, and radio frequency—to enable long-lived self-powered systems. Achieving robust performance across variable environments requires accurate multi-physics modeling, efficient numerical solvers, and system-level co-simulation that couples transducers, interfaces, and micro-scale storage. This Special Issue aims to bridge theoretical advances in numerical methods with practical engineering design, emphasizing verification/validation, standardized benchmarking, and computationally efficient workflows suitable for real operating conditions.
We welcome Research Articles and Reviews addressing method development and/or high-quality applications with clear numerical contributions.
Topics of interest (non-exhaustive)
• Multi-physics formulations and FEM/BEM/FDTD for coupled-field harvesters (electromechanical, thermo-electrical, electrostatic/contact, Maxwell-based EM)
• Nonlinear dynamics, contact/friction, and charge-transfer modeling for triboelectric systems; multi-scale or homogenized models
• Thermal transport and conjugate heat transfer (including CFD coupling where relevant) for thermoelectric/pyroelectric harvesters
• Electromagnetic and circuit co-design for RF rectennas: matching networks, broadband front-ends, field–circuit co-simulation
• Indoor PV modeling under low-lux conditions: spectral effects, partial shading, stochastic illumination, degradation-aware models
• System-level co-simulation: transducer–interface–storage coupling, SPICE/FEM co-simulation, switching/averaged power electronics models
• Numerical optimization and inverse design: topology/shape/parameter optimization, sensitivity analysis, adjoint methods, surrogate modeling
• MPPT, energy routing, and control algorithms with numerical analysis of stability/robustness and implementation constraints
• Reduced-order modeling (ROM) and model reduction for fast parametric sweeps, digital twins, and embedded deployment
• Uncertainty quantification and stochastic modeling of ambient inputs, material variability, and reliability/lifetime prediction
• Verification, validation, and benchmarking: reproducible workflows, reference problems, standardized metrics, experimental–numerical correlation
• High-performance computing and solver advances: scalable linear/nonlinear solvers, preconditioning, parallel efficiency, workflow automation
Editorial board
