Search

Using geopolymer concrete (GC) is a technically feasible decarbonization strategy in the cement and concrete industry shown by numerous papers. A key factor determining its commercial application is whether its cost is competitive. However, related study is scarce. In this paper, we present the analysis of GC's CO 2 avoidance cost, the cost incurred to reduce one metric ton of CO 2 emissions. The results show that among the 486 GC mixtures analyzed, only seven yield negative CO 2 avoidance costs, while 379 are even more expensive than capturing CO 2 from cement plants, which is another technically feasible decarbonization strategy and has been evaluated to have a CO 2 avoidance cost of 55 USD/tCO 2 in Chinese demonstration project. Only a few GC mixtures with lower CO 2 avoidance costs will be considered by the industry, and they are associated with low activator dosage and high compressive strength. To quantify this relationship, we introduce the activator index (Ai), which refers to the activator dosage (kg·m−3) required to achieve 1 MPa of compressive strength. The result shows that Ai values below certain thresholds correspond to lower CO 2 avoidance costs and significant emission reductions of GC. This Ai -based criterion helps identify the optimal GC mixture that effectively reduces CO 2 emissions at the lowest possible cost, thereby promoting its commercial application. [Display omitted] • Only 7 of 486 geopolymer concrete (GC) mixtures have negative CO 2 avoidance costs. • CO 2 avoidance costs of most GC in literature exceed CO 2 capture. • The lower activator dosage per MPa strength, the lower CO 2 avoidance cost of GC. [ABSTRACT FROM AUTHOR]

The electrochemical NRR, which can be driven by renewable energy sources, is an emerging strategy for addressing the high energy consumption and CO 2 emission issues caused by the traditional Haber–Bosch ammonia synthesis technique. FePc catalyzes the electrochemical ammonia synthesis reaction well, but intermolecular π-stacking and multi-layer overlapping lead to low NH 3 yields. Here, [Bmim][Cl] and [Bmim][NTF 2 ] ILs were used to induce monolayer dispersion of FePc. Ionic-liquid-induced FePc electrocatalyst, namely FePc/C-700, which was constructed with ILs as the carbon source, gave an excellent NH 3 yield (24.25 μg mg cat −1 h−1) and Faradaic efficiency (30.59%) at − 0.1 V. The formation of a monolayer FePc structure was confirmed by HAADF-STEM and XANES. The results of DFT calculations and NRR experiments showed that the monolayer FePc structure promoted N 2 adsorption and inhibited the competitive HER. These results will be useful in the design of active sites of layered macromolecules to achieve efficient electrochemical NRR. [Display omitted] • The monolayer FePc/C-700 catalysts successfully synthesized in this work exhibits excellent catalytic activity in the NRR. • Using ILs to induce monolayer dispersion of FePc and as carbon sources to suppress the formation of multi-layer FePc structure • This work proves that the formation of the multi-layer FePc structure affects the activation of N 2. [ABSTRACT FROM AUTHOR]

Telemedicine is a powerful carbon reduction strategy in the health sector, reducing carbon emissions by reducing the need to travel. Widespread patient acceptance and adoption is a prerequisite for realizing the potential of telemedicine, however, barriers that prevent telemedicine from reaching its potential persist. The integrated telemedicine patient adoption model is constructed by incorporating socioeconomic factors, health behaviors, psychological characteristics, and technological factors to address the dual attributes of healthcare and technology in telemedicine. The advanced Structural Equation Model-fuzzy-set Qualitative Comparative Analysis (SEM-fsQCA) hybrid approach is then used to analyze the influencing factors of telemedicine patient adoption behavior and the complex process of their synergistic interaction, thereby revealing the impact mechanism of patient adoption behavior. The findings indicate that PLS-SEM and fsQCA are complementary analytical methods providing comparable results. The SEM-based findings indicate that perceived usefulness, trust, social influence, economic benefits, and perceived severity have significant and positive effects on the intention to use telemedicine, while perceived usefulness fully mediates the relationship between perceived ease of use and intention to use, and partially mediates the relationship between trust and intention to use. While health consciousness amplifies the effects of perceived usefulness, social influence, and perceived severity on intention to use, and the intention to use further have a positive and significant effect on adoption behavior. Additionally, the fsQCA-based results reveal multiple potential concurrent causal relationships between influencing factors and the adoption behavior, and provide five formation pathways for telemedicine patient adoption behavior. This study provides important insights for health authorities, telemedicine managers, technology companies and their staff, and offers clear suggestions for designing telemedicine adoption strategies to ensure successful patient engagement. [ABSTRACT FROM AUTHOR]