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Commercial ethylene vinyl acetate co-polymer (EVA) foam is already an important part of everyday life thanks to its weather resistance and stability. However, the large amount of inorganic fillers present in commercial EVA foams is the main obstacle to their full carbon recovery. In this work, high-performance ethylene-acrylic ester-glycidyl methacrylate/EVA-bamboo powder (EGMA/EVA-BP) composite foams with multiple cross-linked network structures were successfully prepared by introducing a bio-based filler, BP, and using EGMA as a partial replacement of the foaming matrix. Influenced by the multiple cross-linked networks, the EGMA/EVA-BP foam shows increased strength and toughness. Compared with EVA foams, the stability of EGMA/EVA-BP foam is greatly improved by the introduction of BP and dispersion of EGMA, with tensile toughness and compressive modulus reaching 7.20 kN/[m.sup.3] and 1.05 MPa. Meanwhile, the EGMA/EVA-BP foam still retains the advantages of light weight (density of 0.175 g/[cm.sup.3]), high resilience (52%) and good thermal stability and durability (more than 400 cycles at 20% compression). In particular, BP enables the foam fully carbon-degradable, making it easier to achieve sustainability in commercial polymer foams. This cost-effective strategy offers an easily scalable solution for high-performance, eco-friendly commercial foam production. Highlights * Bio-based bamboo powder reinforces the foam to improve strength and toughness. * Multi-crosslinking network design improves foam stability. * Lightweight, flexible, and durable foam. * Eco-friendly foam: combination of renewable energy and advanced polymers. KEYWORDS biobased filler, EGMA foam, full carbon degradability, multiple crosslinked network, 1 | INTRODUCTION Polymer foams with a porous structure offer a number of advantages, including light weight, vibration resistance, energy absorption, thermal insulation, and protection. (1-4) As a result, they [...]

Conductive composites have attracted much attention due to its high conductivity, stretchability, and sensitivity. However, designing conductive composites with relatively stable conductivity under 100% deformation using simple methods remains a challenge. In this work, we employ a simple and straightforward approach to prepare a poly(3,4-ethylenedioxythiophene):polystyrene sulfonate (PEDOT:PSS) solution. Based on the conductivity-optimized PEDOT:PSS (5.95 S/cm), it was combined with carboxylated acrylonitrile-butadiene rubber latex (XNBRL) to make a flexible conductive material with a unique bottom-deposited structure. The incorporation of PEDOT:PSS establishes an interconnected conductive network within the XNBR, enhancing both the tensile strength (from 0.31 to 1.24 MPa) and conductivity of the composites. Remarkably, even at 100% strain, the resistance change ([DELTA]R/[R.sub.0]) in the composite remains minimal ( Highlights * A simple method to increase the electrical conductivity of aqueous PEDOT:PSS. * Flexible conductive composite with a small change in AR/R0. * Enables rigid PEDOT to be used in stretchable electronic devices. * Construction of 3D conductive network and bottom deposition structure. KEYWORDS conductive network, electrical properties, mechanical properties, PEDOT:PSS, XNBRL, 1 | INTRODUCTION Conductive composites have been widely applied in the fields of human motion detection, (1) intelligent robot, (2) electronic skin, (3) and human-machine interfaces (4,5) because of its [...]

The bidirectional uncertainty of source and load creates scarcity in the reserve resources of the distribution network. Therefore, it is highly significant for the safe and economic operation of the system to harness spare energy storage capacity from prosumers to provide reserves. This paper proposes a bi-layer optimal scheduling model of "distribution network–prosumer group–prosumer" that considers the flexible reserve resources of a prosumer. The upper layer is the "distribution network–prosumer group" optimization model, in which the distribution network sets the electricity price and reserve price according to its own economic benefit and sends it to the prosumer group and guides it to participate in the scheduling of the resources of the prosumer. The lower layer is the "prosumer group–prosumer" optimization model, where the prosumer group incentivizes the prosumer to adjust its energy storage charging and discharging plans through prices and mobilize its own resources to provide flexible reserve resources. The results show that the optimal method proposed in this paper can fully utilize flexible reserve resources from prosumers, improve the economy of distribution network operations, and reduce the pressure of providing reserves using the upper grid. [ABSTRACT FROM AUTHOR]