To help managers better balance online service failures and recovery strategies, organisations are increasingly offering a variety of recovery programmes. Anecdotal reports suggest that organisations ...are experimenting with various recovery strategies, and particularly transitioning offline recovery strategies into the emerging technological tapestries. Drawing on data collected from two Balkan countries (Kosovo and Albania) with varying service failures, recovery strategies and levels of participation in online environments, this study examines how interactions between the customer and provider impact on recovery strategies. Unlike existing studies regarding online service failure and recovery strategies, we argue that rather than examining the subconscious of the customer as a stand-alone explanation for failure-recovery perceptions, interactions with the provider must also be taken into account. The current study extends the related construct of failure-recovery perceptions and it suggests that service failure generates different recovery strategies based on the contextual social world.
•Economy of waste PV module recycling is discussed based on cost-benefit analysis.•The costs and benefits of PV overall recovery process are analyzed.•Recovery of waste PV module will have a low ...economic potential in China.•Fiscal policy and recovery strategy are provided for government and enterprises.
With the rapid development of renewable energy, the impact on environment and resource caused by waste photovoltaic modules has been realized gradually. To solve the problem, recycling becomes an effectual way. Therefore, the aim of this paper was to assess the economic feasibility of the photovoltaic modules recycling project in China by using cost-benefit analysis. It was found that, under the estimated treatment quantity will generate in China in 2020–2034, the recovery cost per kilowatt (kW) of photovoltaic modules will be 25.11 USD, the unit benefit is 25.68 USD/kW, and the unit net benefit is 0.57 USD/kW. The net present value (NPV) and benefit-cost ratio (BCR) are 21.14 million USD and 1.023. The sensitivity analysis indicated that the sale benefits of recycled materials and tax were the most sensitive factors affecting the project's economy. Finally, we proposed ways to improve the economy for the government and related enterprises.
Background: The recovery process of people with Schizophrenia in Indonesia is still not optimal. The lack of success in the recovery process is indicated by the relapse rate in people with ...schizophrenia, which is still high. Aims: This literature review aims to describe the views of ODS, families, and health workers in the ODS recovery process in Indonesia. Methods: A literature search was carried out using Google Scholar and also The databases PubMed and CINAHL with the keywords Schizophrenia OR psychosis AND family OR Caregiver OR relatives OR care OR spouse OR sibling OR parents AND psychiatrist AND mental health nurse AND mental health professionals AND Perspective OR Perceived AND Recovery AND Indonesia with free-full text criteria in English and Indonesian, and publication time has no limitations. Results: Based on a literature review of 13 articles, different views were obtained between survivors, families, and mental health professionals. Conclusion: The results of these findings recommend that mental health policymakers consider the views of survivors, families, and health workers regarding recovery in survivors to produce appropriate strategies to help survivors achieve a state of recovery. Received: 21 November 2023, Revised: 21 December 2023, Accepted: 25 December 2023.
•A review of the existing in-situ heavy oil recovery techniques is presented.•Various aspects of traditional recovery methods are systematically discussed.•The in-situ catalytic upgrading and ...recovery of heavy crude oil is elaborated.•Standards and methodologies are summarized to establish the technological criteria.
Due to the growing global energy demand and increasingly limited availability of conventional or easy-to-produce crude oils, extensive attention is being paid to the exploitation of unconventional heavy and extra-heavy oils. However, their inherent properties, characterized by high viscosity and poor mobility, coupled with the complex reservoir configuration, make the desired recovery processes very challenging. Although several in-situ recovery techniques have been employed in oil reservoirs worldwide, most of them are still suffering from low sweep and displacement efficiencies, high capital investment, potential formation damage and negative environmental footprints.
This paper aims to provide a comprehensive review of the existing in-situ heavy oil recovery techniques, which fall into three categories of thermal injection, chemical injection and gas injection. Different aspects including the fundamental principles, main features, applicability, and limitations of these recovery processes are elaborated sequentially to illustrate the current technology status. Underlying mechanisms causing the relatively low recovery factors will also be pinpointed. Furthermore, this paper focuses on the technology using novel and active catalysts for simultaneous heavy oil upgrading and recovery, especially in the case of metallic nanocatalysts. Rationales, advantages and challenges regarding this in-situ catalytic upgrading technology will be extensively described for their potential implementation in fields. It is noteworthy that many recovery techniques are still limited to the laboratory scale with needs for further investigations. Therefore, this paper also covers the evaluation standards and analytical methodologies of heavy and extra-heavy oil recovery to establish experimental screening criteria. In the end, economic and environmental aspects of the in-situ catalytic upgrading technology have been briefly discussed. The objective of this review is to present a wide range of expertise related to the in-situ heavy oil recovery processes, and to introduce the in-situ catalytic upgrading technology as an effective and environmental friendly heavy oil recovery process.
Display omitted
•Increasing the substrate concentration helped to improve the reactor tolerance.•In the P2 phase, side reactions impeded the removal of NO2–-N.•Filamentous bacteria, Ca and P ...synergistically promoted sludge granulation.•Anammox bacteria were reciprocal symbiosis with some heterotrophic bacteria.
Most of the current studies have focused on the inhibition of anaerobic ammonium oxidation (anammox) by substrates, however, little attention has been paid to the recovery process of the reactor after inhibition. Therefore, we investigated the changes in reactor performance, granular sludge structure, and microbial community during the recovery phase after being inhibited by a high nitrogen load for 15 d. The nitrogen removal rate of the reactorwasrestored to pre-inhibition levels after 75 d of recovery, and the stoichiometric ratio converged to the theoretical value. The surface of the granular sludge developed into a broccoli-like structure, and the Ca and P contents of the granules increased from 6.88% and 4.39% to 24.42% and 13.88%, respectively. The abundance of the anammox bacterium Candidatus brocadia increased from 5.86% to 12.10%, and network analysis indicated that SMA102 and SBR1031 were positively correlated with the occurrence of Candidatus brocadia.
•The EIPATS exhibits controlled and expedited ionic directional pumping transport properties.•The PSR mechanism combining the ion intercalation/deintercalation processes effectively improve the ...extraction efficiency.•The EIPATS contributed Li+/Na+, Li+/K+, and Li+/Mg2+ selectivity up to 242, 870, and 5032 in mixed solution.•The EIPATS displays a high Li-ion flux to 238% of that of no ion-pumping-assisted process.
Enormous demand and limited resources enable Li-ions extraction as emerging research. Herein, we demonstrate how coupled voltage facilitates lithium-selective extraction across a heterogeneous membrane consisting of a glass-type ceramic electrolyte membrane and a stable conductive composite layer. A cell voltage that directs the one-way selective permeation of Li ions is coupled with a pulse voltage that is applied to the conductive layer to accelerate the transmembrane transport of Li ions. This leads to a high Li-ion flux of 124 mmol m−2h−1, which is enhanced to 238% of the flux of no ion-pumping-assisted process. The proposed electrochemical ion-pumping-assisted transfer system (EIPATS) exhibits an excellent ability to extract Li ions from a mixed electrolyte solution, achieving Li+/Na+, Li+/K+, and Li+/Mg2+ selectivity ratios of 242, 870, and 5032, respectively. The proposed EIPATS featuring a heterogeneous membrane anticipates wide potentials in sustainable resource recovery.
•Design and modeling of a novel multigeneration framework based on fossil fuel.•Obtaining 597.6 kmol/h of liquid CO2, 3484 kmol/h of desalinated water, 17,600 kmol/h of natural gas, and 41742.1 kW of ...power.•Obtainig total exergy and energy efficiencies of 86 % and 31.36 %, respectively.•Obtaining CO2 and electricity production costs of 0.075 $/kgCO2 and 0.048 $/kWh.
This paper presents a novel multigeneration framework based on fossil fuels, which offers several advantages such as high thermodynamic efficiency, low electricity and liquid carbon dioxide (CO2) production costs, and significantly reduced pollutant emissions. The simulation was carried out using the Aspen HYSYS software. The thermodynamic analysis revealed that the process achieves a total exergy efficiency of 86 % and an energy efficiency of 31.36 %. The integrated system yields various products, including 597.6 kmol/h of liquid CO2, 3484 kmol/h of desalinated water, 17,600 kmol/h of natural gas for the trunk line, and 41742.1 kW of power. The analyses further demonstrated that the total exergy destruction in the process amounts to 118071 kW, with contributions from the HPGU, NHPGU, MNPGU, and CSLU units of 30.1 %, 22.23 %, 30.36 %, and 17.29 %, respectively. Regarding environmental impact, the analysis revealed that the indirect emissions from the process are negligible. When the CO2 recovery rate exceeds 99 %, the direct emission amounts to 153.72 kg/h, and the pollution intensity of the proposed scheme is 3.68 gCO2/kWhel, which is lower than that of other technologies. Additionally, the economic analysis indicated that the production costs of CO2 and electricity in the proposed process are 0.075 $/kgCO2 and 0.048 $/kWh, respectively.
Display omitted
•COSMO-RS model was used to rationally design natural deep eutectic solvent (NADES).•The NADES has an excellent lutein recovery ability from microalgal biomass.•Different parameters ...including solvent systems, extraction time and temperature were optimized.•The new fenchyl alcohol/thymol-based NADES improves the stability of lutein.•Hydrogen bond and Van der Waals interaction play vital roles in recovery and stabilization.
Lutein is an important functional food ingredient. However, its recovery processes developed so far seem to fail in sustainability criteria, regarding the urgent need for improved extraction ability while maintaining stability. This work aimed to study the design and application of natural deep eutectic solvent (NADES) for lutein recovery from Scenedesmus sp with the aid of COSMO-RS. The performance of the novel fenchyl alcohol/thymol-based system was studied comprehensively under different extraction parameters. Furthermore, thermal, light and storage stability of lutein in NADES were investigated. It was found that lutein recovery from microalgae should be performed using equimolar hydrogen-bond acceptor/donor at 60 °C within 70 min. The NADES could increase lutein yield compared with the conventional methodology using organic solvents. Besides, it significantly enhanced the lutein stability under various conditions. Hydrogen bond and Van der Waals interaction play crucial roles during target processing, elucidated by theoretical calculations and nuclear magnetic resonance.
The main purpose of this study was to build multivariate classification models using water quality monitoring data for the hydrographic basin of the Gualaxo do Norte River, Minas Gerais state, ...Brazil, which was impacted in 2015 by the rupture of a containment structure for iron ore tailings. A total of 27 points were evaluated, covering areas affected and unaffected by the disaster, with monitoring of chemical, physical, and microbiological variables during the period from July 2016 to June 2017. Multivariate classification techniques were applied to the data, with the aim of developing models to determine when the impacted locations would present characteristics equivalent to those existing prior to the rupture. Classification models constructed using PLS-DA and LDA were able to predict three classes: unaffected main river, affected main river, and tributaries. The first technique was able to clearly differentiate the three classes for the data evaluated, achieving averages corresponding to 90% accuracy. The second method was consistent with the first, identifying the chloride content, conductivity, turbidity, and alkalinity as discriminatory variables, among those monitored, with the relationships among the parameters being coherent with the environmental conditions of the region. The model, with a correct classification rate of 91.67%, enabled identification of the behavior of new samples, using only these easily measured variables. In summary, application of the multivariate statistical tools allowed the development of models capable of providing information about the recovery process of an ecosystem impacted by the greatest environmental disaster to have occurred in Brazil.
Display omitted
•Assessment of the long-term environmental effects of the Fundão dam failure, Brazil.•Multivariate classification models to assess the profile impacted and non-impacted.•Samples collected in the dry season already showed pre-disaster characteristics.
The growing environmental concerns, governmental regulations, and significant cost savings are the primary motivations for companies to consider the reuse and recovery of products in their inventory ...system. The previous research ignored several realistic features of reusable items inventory systems, such as the presence of multiple products and operational constraints. For the first time, this paper presents a new multiproduct economic order quantity inventory model for an inventory system of reusable products. The goal of the model is to determine the optimal replenishment quantity and reuse quantity of each item so that the system's total cost is minimized. Several operational constraints are considered to provide a more realistic framework, such as the total available budget, warehouse space, and holding cost. Due to the nonlinearity of the presented model, differential evolution (DE) and particle swarm optimization (PSO) algorithms are utilized as two solution approaches. However, these algorithms' performance is highly dependent on their control parameters. Therefore, for the first time, two new variants of these algorithms, called DEQL and PSOQL, are presented in this study, where the control parameters of algorithms are not pre-determined. A powerful reinforcement learning algorithm, Q-learning, adapts these values intelligently. In other words, as a research contribution, this research aims at introducing a new variant of hybrid the DE and PSO algorithms in which a machine learning algorithm controls the value of metaheuristic parameters. The other parameters of the proposed algorithms are tunned employing the Taguchi method. Extensive numerical examples are established in different sizes, and the outputs are discussed in terms of several criteria. Statistical analysis of the results is performed, demonstrating that the proposed reinforcement learning-based parameter adaption has significantly improved algorithms' performance.
PDF
