Constructing a donor–acceptor (D–A) structure
is
a common strategy to change the polarizability and dipole moment of
local molecules and induce the re-hybridization of molecular orbitals,
which could lead to the reduction of the bandgap and promote the transfer
of electrons. Although such a strategy has been successfully applied
in organic optoelectronics with well-defined molecular structures,
very limited progress has been reported for polymers with disordered
and complex structures. In this work, we strived to employ this strategy
to manipulate the light absorption and photothermal behaviors of melanin-inspired,
polydopamine (PDA), a typical kind of electron-rich molecular systems
by involving a strong receptor unit, trichloroisocyanuric acid through
covalent connection to construct D–A pairs. This design could
decrease the bandgap and improve the optical absorption by orbital
re-hybridization, which has been carefully verified by detailed spectral
analysis and simulated calculation. The remarkable photothermal performances
present promising potential in photothermal Marangoni actuators and
solar power generation and provided new opportunities for the rational
design of the microstructure of melanin.
Abstract:With the low-carbon economy advocated all over the world, how to use energy reasonably and efficiently in public projects has become a major issue. It has brought many open questions, including which method is more reasonable in evaluating the energy utilization of carbon performance in public projects when the evaluation information is fuzzy; whether an indicator system can be constructed; and which indicators have more impact on carbon performance. This article aims to solve these problems. We propose a new carbon performance evaluation system for energy utilization based on project processes (design, construction, and operation). Fuzzy Analytic Hierarchy Process (FAHP) is used to accumulate the indicator weights and cloud model is incorporated when the indicator value is fuzzy. Finally, we apply our indicator system to a case study of the Xiangjiang River project in China, which demonstrates the applicability and efficiency of our method.
This study investigates how the endogenous factors of public projects affect carbon performance. Taking the logical framework approach, a research model and hypotheses are proposed to evaluate the effects of endogenous project factors, including human resources, funding, materials, and project management methodology on project carbon performance. Questionnaires were distributed to project professionals in China and a structural equation model was deployed to analyze these effects. The results show that funding, materials, and project management methodology have a significant influence on public project carbon performance, whereas human resources have no significant effects. Recommendations on how to improve carbon performance are provided.
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