4 resultados para Autoregressive-Moving Average model


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A modified UNIFAC–VISCO group contribution method was developed for the correlation and prediction of viscosity of ionic liquids as a function of temperature at 0.1 MPa. In this original approach, cations and anions were regarded as peculiar molecular groups. The significance of this approach comes from the ability to calculate the viscosity of mixtures of ionic liquids as well as pure ionic liquids. Binary interaction parameters for selected cations and anions were determined by fitting the experimental viscosity data available in literature for selected ionic liquids. The temperature dependence on the viscosity of the cations and anions were fitted to a Vogel–Fulcher–Tamman behavior. Binary interaction parameters and VFT type fitting parameters were then used to determine the viscosity of pure and mixtures of ionic liquids with different combinations of cations and anions to ensure the validity of the prediction method. Consequently, the viscosities of binary ionic liquid mixtures were then calculated by using this prediction method. In this work, the viscosity data of pure ionic liquids and of binary mixtures of ionic liquids are successfully calculated from 293.15 K to 363.15 K at 0.1 MPa. All calculated viscosity data showed excellent agreement with experimental data with a relative absolute average deviation lower than 1.7%.

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Since the beginning of the 20th century, the Garden City model has been a predominant theory emerging from Ecological Urbanism. In his book Howard observed the disastrous effects of rapid urbanization and as a response, proposed the Garden City. Although Howard’s proposal was first published in the late 1800’s, the clear imbalance that Howard aimed to address is still prevalent in the UK today. Each year, the UK wastes nearly 15 million tons of food, despite this an estimated 500,000 people in the UK go without sufficient access to food. While the urban population is rapidly increasing and cities are becoming hubs of economic activity, producing wealth and improving education and access to markets, it is within these cities that the imbalance is most evident, with a significant proportion of the world’s population with unmet needs living in urban areas. Despite Howard’s model being a response to 17th century London, many still consider the Garden City model to be an effective solution for the 21st century. In his book, Howard details the metrics required for the design of a Garden City. This paper will discuss how, by using this methodology and comparing it with more recent studies by Cornell University and Matthew Wheeland (Pure Energies); it is possible to test the validity of Howard’s proposal to establish whether the Garden City model is a viable solution to the increasing pressures of urbanization.
This paper outlines how the analysis of Howard’s proposal has shown the model to be flawed, incapable of producing enough food to sustain the proposed 32,000 population, with a capacity to produce only 23% of the food required to meet the current average UK consumption rate. Beyond the limited productive capacity of Howard’s model, the design itself does little to increase local resilience or the ecological base. This paper will also discuss how a greater understanding of the
Land-share requirements enables the design of a new urban model, building on the foundations initially laid out by Howard and combining a number of other theories to produce a more resilient and efficient model of ecological urbanism.

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The viscosity of ionic liquids (ILs) has been modeled as a function of temperature and at atmospheric pressure using a new method based on the UNIFAC–VISCO method. This model extends the calculations previously reported by our group (see Zhao et al. J. Chem. Eng. Data 2016, 61, 2160–2169) which used 154 experimental viscosity data points of 25 ionic liquids for regression of a set of binary interaction parameters and ion Vogel–Fulcher–Tammann (VFT) parameters. Discrepancies in the experimental data of the same IL affect the quality of the correlation and thus the development of the predictive method. In this work, mathematical gnostics was used to analyze the experimental data from different sources and recommend one set of reliable data for each IL. These recommended data (totally 819 data points) for 70 ILs were correlated using this model to obtain an extended set of binary interaction parameters and ion VFT parameters, with a regression accuracy of 1.4%. In addition, 966 experimental viscosity data points for 11 binary mixtures of ILs were collected from literature to establish this model. All the binary data consist of 128 training data points used for the optimization of binary interaction parameters and 838 test data points used for the comparison of the pure evaluated values. The relative average absolute deviation (RAAD) for training and test is 2.9% and 3.9%, respectively.

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To get a better insight into the radiological features of industrial by-products that can be reused in building materials a review of the reported scientific data can be very useful. The current study is based on the continuously growing database of the By-BM (H2020-MSCA-IF-2015) project (By-products for Building Materials). Currently, the By-BM database contains individual data of about 431 by-products and 1095 building and raw materials. It was found that in case of the building materials the natural radionuclide content varied widely (Ra-226: <DL-27851 Bq/kg; Th-232: <DL-906 Bq/kg, K-40: <DL-17922 Bq/kg), more so than for the by-products (Ra-226: 7-3152 Bq/kg; Th-232: <DL-1350 Bq/kg, K-40: <DL-3001 Bq/kg). The average Ra-226, Th-232 and K-40 contents of the reported by-products were respectively 2.52, 2.35 and 0.39 times higher than the building materials. The gamma exposure of bulk building products was calculated according to IAEA Specific Safety Guide No. SSG-32 and the European Commission Radiation Protection 112 based I-index (EU BSS). It was found that in most cases the I-index without density consideration provides a significant overestimation in excess effective dose.