Process industry consumes tremendous amounts of electricity for production. Electric load forecasting could be conducive to managing the electricity consumption, determining the optimal production ...scheduling, and planning the maintenance schedule, which could improve the energy efficiency and reduce the production cost. This paper proposed a short term electric load forecasting model based on the hybrid GA-PSO-BPNN algorithm. The GA-PSO algorithm is used in a short-term electric load forecasting model to optimize the parameters of BPNN. The forecasting model avoids the shortcoming that the prediction result is easy to fall into local optimum. The papermaking process, as one of the most representative process industries, is selected as the study case. The real-time production data from two different papermaking enterprises is collected to verify the proposed model. Besides the proposed GA-PSO-BPNN model, the GA-BPNN and PSO-BPNN based electric load forecasting models are also studied as the contrasting cases. The verification results reveal that the GA-PSO-BPNN model is superior to the other two hybrid forecasting models for future application in the papermaking process since its MAPE is only 0.77%.
•A short term electric load forecasting model is proposed for papermaking process.•The proposed model is structured based on hybrid GA-PSO-BPNN algorithm.•The model is verified by industrial real-time data.•The model shows high accuracy with 0.77% of the MAPE.•Electricity purchasing cost can be saved by the forecasting results.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
This reference for professionals in the pulp and paper industry details how to improve manufacturing processes that not only cut down on the emission of pollutants but also increase productivity and ...decrease costs.
•Relationship between CNF morphology and reinforced effect for recycled fibers.•CNFs had good reinforced effect and little damage on dewatering efficiency.•CNFs reinforced recycled fibers with no ...need of polyelectrolytes.•CNF form deposited on fibers and mechanism of reinforcement were discussed.
In current study, CNFs produced by different mechanical methods, were used to improve the mechanical properties of recycled paper. The result showed the morphology of CNFs had great impact on reinforced effect and the length of fibrils determined their contribution in recycled paper strength. For different CNFs with similar diameter, the higher aspect ratio resulted in better reinforced effect. The CNFs produced by microfluidic homogenization and suitable PFI milling conditions (RM-CNF1) got best reinforced effect which improved tensile index and burst index by 35.5 % and 49.4 % at 5.0 wt% addition, respectively, due to their high aspect ratio. Although the CNFs produced by ball milling and ultrasonication (BU-CNF2) still had many bundles that were not fibrillated completely, their reinforced effect just below RM-CNF1 due to their special morphology and high retention rate. This work aims to study the influence of CNFs on recycled fibers reinforcement.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
A dynamic kernel extreme learning machine (DKELM) is proposed for wastewater treatment modeling by introducing dynamic technique and kernel function into ELM. It could achieve better prediction ...performance than conventional modeling methods.
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•Dynamic kernel extreme learning machine (DKELM) is proposed for a wastewater treatment process.•Dynamic technique is used to obtain time-varying characteristics in processes.•Kernel function is adopted to improve the generalization ability of the model.•DKELM achieves better prediction performance than conventional modeling methods.
Papermaking wastewater accounts for a large proportion of industrial wastewater, and it is essential to obtain accurate and reliable effluent indices in real-time. Considering the complexity, nonlinearity, and time variability of wastewater treatment processes, a dynamic kernel extreme learning machine (DKELM) method is proposed to predict the key quality indices of effluent chemical oxygen demand (COD). A time lag coefficient is introduced and a kernel function is embedded into the extreme learning machine (ELM) to extract dynamic information and obtain better prediction accuracy. A case study for modeling a wastewater treatment process is demonstrated to evaluate the performance of the proposed DKELM. The results illustrate that both training and prediction accuracy of the DKELM model is superior to other models. For the prediction of the quality indices of effluent COD, the determinate coefficient of the DKELM model is increased by 27.52 %, 21.36 %, 10.42 %, and 10.81 %, compared with partial least squares, ELM, dynamic ELM, and kernel ELM, respectively.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Lignin is produced in large quantities as a by-product of the papermaking and biofuel industries. Lignin is the most abundant aromatic biopolymer on the planet with its chemical structure rendering ...it ideal for carbon materials production and finely tailored architectures of these sustainable carbon materials are beginning to find use in high value energy applications. This review focuses on lignin chemistry, various lignin extraction and fractionation techniques, and their impact on lignin structure/property relationships for energy applications are discussed. Chemistries behind important and emerging energy applications from recent research on this increasingly valuable sustainable polymer are described.
Lignin in advanced energy applications: source, extraction methodolgy, structure/property relationships.
•A facile and economical strategy was proposed to fabricate paper-based electrode.•ACFPs obtained by high temperature activation still had flexible mechanical strength.•ACFPs supported the ...integration of high conductivity and electrochemical properties.•ACFPs also can serve as superior substrates for loading extra electroactive materials.•It shows broad application prospects in the field of energy storage.
The cellulose-based paper electrode has attracted increasing attention for wearable and portable electronic devices. However, the loading of expensive electroactive substances, a large proportion of cellulose matrix and the loss of mechanical flexibility limit its commercial application. This article reports a facile and economical strategy for fabricating high-performance cellulose-based activated carbon fiber papers (ACFPs), which can be used as self-supporting supercapacitor electrodes without any binder. Combining wet papermaking, thermal carbonization, and double activation, the new strategy enables the in-situ transformation of fibrillated pulp fibers into cellulose-derived activated carbon fused with carbon fibers (CFs). The resulting ACFPs are characteristic of high specific surface area (808–1106 m2/g), high conductivity (1640–1786 S/m), prominent tensile strength (4.6–6.4 MPa), and flexible processability. Furthermore, the ACFP exhibits maximum specific capacitance of 48.8F/cm3 (or 165F/g) based on the whole electrode and possesses superior cycling stability. Moreover, electroactive materials are readily loaded onto the ACFPs to enhance the capacitance further. In the ACFPs, the cellulose-derived activated carbon is primarily responsible for capacitive energy storage, while CFs serve as a highly functional network due to their low thermal expansion coefficient and high electrical conductivity. Overall, this work provides a novel strategy for manufacturing scalable, cost-effective paper-based electrode materials with broad application prospects in energy storage.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Over the past several years, a new surge of interest in paper electronics has arisen due to the numerous merits of simple micro/nanostructured substrates. Herein, the latest advances and principal ...issues in the design and fabrication of paper‐based flexible electronics are highlighted. Following an introduction of the fascinating properties of paper matrixes, the construction of paper substrates from diverse functional materials for flexible electronics and their underlying principles are described. Then, notable progress related to the development of versatile electronic devices is discussed. Finally, future opportunities and the remaining challenges are examined. It is envisioned that more design concepts, working principles, and advanced papermaking techniques will be developed in the near future for the advanced functionalization of paper, paving the way for the mass production and commercial applications of flexible paper‐based electronic devices.
The assembly of nanostructures on cellulose fibers enables the construction of flexible paper electronics that are thin, lightweight, cost effective, biodegradable, breathable, tailorable, and easy to process. Functional techniques and materials that can be employed to manufacture a variety of flexible electronic devices on micro/nanostructured paper, and the underlying working principles are reviewed.
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The true scale of paper production in America from 1690 through the
end of the nineteenth century was staggering, with a range of
parties participating in different ways, from farmers growing flax
to ...textile workers weaving cloth and from housewives saving rags to
peddlers collecting them. Making a bold case for the importance of
printing and paper technology in the study of early American
literature, Jonathan Senchyne presents archival evidence of the
effects of this very visible process on American writers, such as
Anne Bradstreet, Herman Melville, Lydia Sigourney, William Wells
Brown, and other lesser-known figures. The Intimacy of Paper in
Early and Nineteenth-Century American Literature reveals that
book history and literary studies are mutually constitutive and
proposes a new literary periodization based on materiality and
paper production. In unpacking this history and connecting it to
cultural and literary representations, Senchyne also explores how
the textuality of paper has been used to make social and political
claims about gender, labor, and race.
Recovered paper is one of the major raw material for recycled papermaking industry. In China, the domestic recovered paper recycling system is incomplete and the amount of recyclable recovered paper ...cannot satisfy the papermaking demand. Therefore, the recycled papermaking industry is extremely dependent on imported recovered paper as their raw fiber source. In 2018, Chinese government announced a ban on unsorted recovered paper and tightened the import quota for recovered paper, which resulted in a dramatic drop in the importing amount of recovered paper. It is an urgent issue to explore alternative production routes that are more economical and environmentally friendly. Herein, life cycle cost assessment is used to compare and analyze the recycled papermaking industry based domestic recovered paper and three alternatives (including straw, imported deinked pulp and imported wood pulp) as the raw materials. The results show that the life cycle cost of domestic recycled paper based recovered papermaking is significantly lower than the other three alternatives, whereas its external cost is higher than that of the production routes based on the imported deinked pulp and imported wood pulp. With the increasing price of the domestic recovered paper, imported deinked pulp is the trend of recycled papermaking industry in China.
•Life cycle cost assessment is applied to the recycled paper industry in China.•LCC of four papermaking schemes based on different raw materials were assessed.•LCC for six types of paper products ranges from 924 to 1227 USD/t in 2017.•Imported recovered pulpboard is the best choice of wastepaper material supplement.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP