Search results

The European Union (EU) and European companies are striving for net-zero carbon targets by 2050 and are therefore focused on urgent decarbonization efforts. Manufacturing contributes to 20% of European carbon emissions, although the primary challenge lies in supply chain (SC) emissions, which highlights the field's need to transform. Amid the dissonance between public and private net-zero commitments and persistent carbon emissions, uncertainties surround the development of net-zero carbon supply chains (NZCSCs). This paper aims to address this lack of knowledge by presenting an exploration of the development of NZCSCs within the EU through 2050.

Using a real-time Delphi methodology and tool from durvey.org, this study involves a multiphase panel discussion process with 67 SC and sustainability experts. Twelve prospective theses for NZCSC development in the EU were formulated through desk research, interviews and an expert workshop. The panel assessed these theses in terms of impact, desirability and anticipated occurrence year and provided justification for their evaluations.

The study identifies three clusters that influence NZCSC development, comprising 68 implications that scholars, managers and policymakers should consider during this transition.

This study contributes to the available information regarding NZCSCs by offering insights from a multilevel perspective into the influences on NZCSC development in the EU's manufacturing sector.

Inductive charging systems for electrically powered cars produce a magneto-quasistatic field and organism in the vicinity might be exposed to that field. Magneto-quasistatic fields induce electric fields in the human body that should not exceed limits given by the International Commission of Non-Ionizing Radiation protection (ICNIRP) to ensure that no harm is done to the human body. As these electric fields cannot be measured directly, they need to be derived from the measured magnetic flux densities. To get an almost real-time estimation of the harmfulness of the magnetic flux density to the human body, the electric field needs to be calculated within a minimal computing time. The purpose of this study is to identify fast linear equations solver for the discrete Poisson system of the Co-Simulation Scalar Potential Finite Difference scheme on different graphics processing unit systems.

The determination of the exposure requires a fast linear equations solver for the discrete Poisson system of the Co-Simulation Scalar Potential Finite Difference (Co-Sim. SPFD) scheme. Here, the use of the AmgX library on NVIDIA GPUs is presented for this task.

Using the AmgX library enables solving the equation system resulting from an ICNIRP recommended human voxel model resolution of 2 mm in less than 0.5 s on a single NVIDIA Tesla V100 GPU.

This work is one essential advancement to determine the exposure of humans from wireless charging system in near real-time from in situ magnetic flux density measurements.