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Abstract: The free but intermittent sources of energy such as photovoltaic and wind energy has become more popular nowadays. The installation of this type of power source usually requires a secondary power source, often the energy storage system such as battery to smoothen power output over time. In this article, we introduce, an alternative energy storage system, an organic-electrolyte redox flow battery (RFB), which uses anthraquinone-2-sulfonic acid (AQS) and 1,2-benzoquinone-3,5-disulfonic acid (BQDS) as the electrolytes. The membrane is coated with Vulcan carbon using an ultrasonic spray technique allowing for higher current density. The polarization curve of this system has shown that the RFB with organic AQS and BQDS has impressive amount of energy density, and can deliver the maximum current density up to 45 mA/cm 2 and the maximum power density up to 4 mW/cm 2 . At 5 mA/cm 2 current density, the power delivery has the current efficiency and energy efficiency of 96% and 48%, respectively.

Novel N-methyl-4-piperidinol (MPDL)-based solvents have been considered as high potential solvents for post combustion carbon capture, especially for power generation industry. To comprehensively investigate the CO2 absorption-regeneration performance of MPDL-based solvents, transport properties (i.e., density, viscosity, and physical CO2 diffusivity) are required. These data are reported in the literature and can be estimated by conventional predictive correlations. However, the conventional correlation is applicable for an individual solvent at various blended ratios and temperatures. Thus, artificial neural network (ANN) was then applied for prediction of the transport properties of MPDL-based solvents, including aqueous solutions of MPDL, MPDL-monoethanolamine (MEA), MPDL-2-amino-2-methyl-1-propanol (AMP), and MPDL-piperazine (PZ). Three learning algorithms of (i) Levenberg–Marquardt (LM), (ii) Bayesian Regularization (BR), and (iii) Scaled Conjugate Gradient (SCG) were applied to develop the predictive ANN models with various hidden neurons. As a result, 6 hidden neurons BR-ANN model was the most convincible single prediction platform for the three transport properties. The develop model can be very beneficial for further applications associated with the novel MPDL-based solvents.

The assessment of greenhouse gases (GHGs) and air pollutants emitted to and removed from the atmosphere ranks high on international political and scientific agendas. Growing international concern and cooperation regarding the climate change problem have increased the need to consider the uncertainty in inventories of GHG emissions. The approaches to address uncertainty discussed in this special issue reflect attempts to improve national inventories, not only for their own sake but also from a wider, system analytic perspective. They seek to strengthen the usefulness of national emission inventories under a compliance and/or global monitoring and reporting framework. The papers in this special issue demonstrate the benefits of including inventory uncertainty in policy analyses. The issues raised by the authors and featured in their papers, along with the role that uncertainty analysis plays in many of their arguments, highlight the challenges and the importance of dealing with uncertainty. While the Intergovernmental Panel on Climate Change (IPCC) clearly stresses the value of conducting uncertainty analyses and offers guidance on executing them, the arguments made here in favor of performing these studies go well beyond any suggestions made by the IPCC to date. Improving and conducting uncertainty analyses are needed to develop a clear understanding and informed policy. Uncertainty matters and is key to many issues related to inventorying and reducing emissions. Considering uncertainty helps to avoid situations that can create a false sense of certainty or lead to invalid views of subsystems. Dealing proactively with uncertainty allows for the generation of useful knowledge that the international community should have to hand while strengthening the 2015 Paris Agreement, which had been agreed at the 21st Conference of the Parties to the United Nations Framework Convention on Climate Change (UNFCCC). However, considering uncertainty does not come free. Proper treatment of uncertainty is demanding because it forces us to take the step from “simple to complex” and to grasp a holistic system view. Only, thereafter, can we consider potential simplifications. That is, comprehensive treatment of uncertainty does not necessarily offer quick or easy solutions for policymakers. This special issue brings together 13 papers that resulted from the 2015 (4th) International Workshop on Uncertainty in Atmospheric Emissions, in Cracow, Poland. While they deal with many different aspects of the uncertainty in emission estimates, they are guided by the same principal question: “What GHGs shall be verified at what spatio-temporal scale to support conducive legislation at local and national scales, while ensuring effective governance at the global scale?” This question is at the heart of mitigation and adaptation. It requires an understanding of the entire system of GHG sources and sinks, their spatial characteristics and the temporal scales at which they react and interact, the uncertainty (accuracy and/or precision) with which fluxes can be measured, and last but not least, the consequences that follow from all of the aforementioned aspects, for policy actors to frame compliance and/or global monitoring and reporting agreements. This bigger system context serves as a reference for the papers in the special issue, irrespective of their spatio-temporal focus, and is used as a guide for the reader.

The selection of an appropriate “optimal” recycling alternative has to take into consideration both the ecological and economic effects of the entire life-cycle. The aim of this paper is to compare different waste management systems by means of a life-cycle assessment (LCA) and a cost comparison. The analysis uses data regarding the amount of household waste generated, collected and treated in a selected area in Austria. For this purpose, model-based scenarios with recycling and separate collection as well as scenarios without recycling were created. The database covers the amounts of household waste generated in the different collection schemes, the transport distances by private delivery and by regional waste management companies and data on the waste treatment processes that are widely employed throughout Austria and Germany. The resulting life-cycle inventories have been assessed according to three impact categories relevant to this topic—the global warming potential (GWP), the acidification potential (AP) and the net energy use (NEU). The results include ecological impact analyses and cost comparisons for the overall waste management systems and the waste management systems for the individual waste types—waste paper, plastic packaging, metal packaging and waste glass. Finally, a sensitivity analysis should prove the validity of the results for regions with transport distances differing from those in the area under analysis. © 2003 Elsevier B.V. All rights reserved.

The neuropsychological disorders are increasing their importance nowadays. Unfortunately, the therapeutic efficacy is still not in satisfaction level. Therefore, the novel agents that are effective, safe, cheap and easy to approach are in required. Therefore, we aimed to determine the neuropharmacological activities of PM52, the novel herbal supplement. We had developed the PM52, a novel product comprising of Cissampelas pariera and Anethum graveolens at aconcentarion of 1: 5. Then, it was determined acute toxicity and the neuropharmacological activities of PM52. Male Wistar rats, weighing 180-220 g, were orally given PM52 up to the dose of 5000 mg.kg-1 BW and observed acute toxicity. The neuropharmacological activities of PM52 were also determined. Various doses of PM52 ranging from 2, 10 and 50 mg.kg-1 BW were orally given once daily to the animals at a period of 14 days. Anxiolytic, anti-depression and cognitive enhancing effects were evaluated after single administration and every 7 days throughout 14-day experimental period using elevated plus maze, forced swimming test and Morris water maze tests respectively. PM 52 was safe up to dose of 5000 mg kg-1 BW. Moreover, it also showed anxiolytic-like activity and cognitive enhancing effect. Moreover, it also enhanced climbing activity in forced swimming test. PM 52 is the potential novel food supplement to enhance cognitive function and decrease anxiety. However, further researches on subchronic toxicity, possible active gradient and shelf life of product are also necessary before moving forward to clinical trial study.