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Ostrava in the Moravian-Silesian region (Czech Republic) is a European air pollution hot spot for airborne particulate matter (PM), polycyclic aromatic hydrocarbons (PAHs), and ultrafine particles (UFPs). Air pollution source apportionment is essential for implementation of successful abatement strategies. UFPs or nanoparticles of diameter <100 nm exhibit the highest deposition efficiency in human lungs. To permit apportionment of PM sources at the hot-spot including nanoparticles, Positive Matrix Factorization (PMF) was applied to highly time resolved particle number size distributions (NSD, 14 nm-10 μm) and PM0.09-1.15 chemical composition. Diurnal patterns, meteorological variables, gaseous pollutants, organic markers, and associations between the NSD factors and chemical composition factors were used to identify the pollution sources. The PMF on the NSD reveals two factors in the ultrafine size range: industrial UFPs (28%, number mode diameter - NMD 45 nm), industrial/fresh road traffic nanoparticles (26%, NMD 26 nm); three factors in the accumulation size range: urban background (24%, NMD 93 nm), coal burning (14%, volume mode diameter - VMD 0.5 μm), regional pollution (3%, VMD 0.8 μm) and one factor in the coarse size range: industrial coarse particles/road dust (2%, VMD 5 μm). The PMF analysis of PM0.09-1.15 revealed four factors: SIA/CC/BB (52%), road dust (18%), sinter/steel (16%), iron production (16%). The factors in the ultrafine size range resolved with NSD have a positive correlation with sinter/steel production and iron production factors resolved with chemical composition. Coal combustion factor resolved with NSD has moderate correlation with SIA/CC/BB factor. The organic markers homohopanes correlate with coal combustion and the levoglucosan correlates with urban background. The PMF applications to NSD and chemical composition datasets are complementary. PAHs in PM1 were found to be associated with coal combustion factor.

The paper presents a method of analysis and design of urban landscapes called PlaceMaker. The method is intended as a key resource for assessing the identity of places and measures for its enhancement, reconstruction and design. By using different tools for analysis and interpretation of places and questionnaires administered to their users, PlaceMaker finds the identity material that the city has available and how to de-compose and re-compose it for its sustainable project transformation. Pedestrian-intensive areas, in particular urban, cultural and historical poles of attraction, increasingly bear the imprint of globalization, conveying messages which have developed in an uncontrolled manner and are aimed at conveying their users' patterns of thought and action. The presence of a dense mixture of contrasting elements and perceptions can detract from the image of a city. As regards, the paper is completed with a synopsis of the experiment carried out in an historic axe in London - Oxford Street - where globalization is in danger of levelling out the beauty of the area in favour of widespread genericity

Artículos en revistas Advanced Metering Infrastructures (AMI) represent one of the first steps in the Smart Grid process, where Power Line Communication (PLC) is emerging as the most costeffective solution since it allows reusing electric infrastructures as communication channel. However, the performance of this technology is highly affected by the characteristics of the existing distribution network. This article presents a thorough sensitivity analysis to assess the operating limits of smart metering applications for multiple representative configurations of low voltage (LV) networks based on a PLC simulation framework that integrates DLMS/COSEM and PRIME standards. The number of registered nodes and the time to read all meters have been defined as Key Performance Indicators to assess the communication performance. The conclusions drawn from this study provide useful information for the integration of smart meter applications that take advantage of AMI under different local conditions. info:eu-repo/semantics/publishedVersion

Bioenergy crops are well known for their ability to reduce greenhouse gas emissions and increase the soil carbon stock. Although such crops are often held to be in competition with food crops and thus raise the question of current and future food security, at the same time mitigation measures are required to tackle climate change and sustain local farming communities and crop production. However, in some cases the actions envisaged for specific pedo-climatic conditions are not always economically sustainable by farmers. In this frame, energy crops with high environmental adaptability and yields, such as giant reed (Arundo donax L.), may represent an opportunity to improve farm incomes, making marginal areas not suitable for food production once again productive. In so doing, three of the 17 Sustainable Development Goals (SDGs) of the United Nations would be met, namely SDG 2 on food security and sustainable agriculture, SDG 7 on reliable, sustainable and modern energy, and SDG 13 on action to combat climate change and its impacts. In this work, the response of giant reed in the marginal areas of an agricultural district of southern Italy (Destra Sele) and expected farm incomes under climate change (2021-2050) are evaluated. The normalized water productivity index of giant reed was determined (WP; 30.1gm-2) by means of a SWAP agro-hydrological model, calibrated and validated on two years of a long-term field experiment. The model was used to estimate giant reed response (biomass yield) in marginal areas under climate change, and economic evaluation was performed to determine expected farm incomes (woodchips and chopped forage). The results show that woodchip production represents the most profitable option for farmers, yielding a gross margin 50% lower than ordinary high-input maize cultivation across the study area.

Results of the innovative development of an efficiently controlled, new-generation, energy-saving, industrial AC electric drive are presented. The drive is based on a two-link cycloconverter without a filter in the intermediate link. The improved energy and electromagnetic compatibility with the supply mains are important advantages of new-generation converters.

The main performance characteristics of the turbine, descriptions of the electrohydraulic control and protection system (EHCPS), the heat flow diagram, arrangement decisions, and motivation for selecting them, are given. The steam turbine presented by the Ural Turbine Works (UTW) is intended for replacing the VPT-25 turbine the service life of which has already expired at the Novokuybyshevsk CHP plant. The mixed-pressure turbine will operate in combination of the double-circuit heat recovery boiler (HRB) in a parallel scheme. High-pressure (HP) steam will be supplied from the main steam header to which high-pressure steam from the power boilers and the HRB will be fed, while low-pressure (LP) steam will be supplied directly from the HRB. For the turbine, nozzle steam distribution and the two-row control stage are adopted. The turbine has a process steam extraction line with its stop and control valve and heating steam extraction line leading to the main steam collector.

We overview experimental and theoretical studies of energy transfer in the photosynthetic light-harvesting complexes LH1, LH2, and LHCII performed during the past decade since the discovery of high-resolution structure of these complexes. Experimental findings obtained with various spectroscopic techniques makes possible a modelling of the excitation dynamics at a quantitative level. The modified Redfield theory allows a precise assignment of the energy transfer pathways together with a direct visualization of the whole excitation dynamics where various regimes from a coherent motion of delocalized exciton to a hopping of localized excitations are superimposed. In a single complex it is possible to observe the switching between these regimes driven by slow conformational motion (as we demonstrate for LH2). Excitation dynamics under quenched conditions in higher-plant complexes is discussed.

Abstract The primary focus of this study is to empirically investigate the natural gas consumption-economic growth nexus in Iran, while incorporating real gross fixed capital formation (GFCF) and the role of oil revenue (OR) as additional variables to make it a multivariate framework in order to avoid possible omission variable bias in the estimations. To this end, quarterly frequency data from 1990Q1 to 2017Q4. Structural break point unit root test like Zivot and Andrews is employed and complemented with traditional non-stationarity tests such as Augmented Dickey Fuller and Phillips and Perron unit tests to investigate the interest variables stationarity characteristics. Recently developed Bayer and Hanck (2013) combined cointegration test is used alongside the Pesaran et al. (2001) bounds testing cointegration to test for long-run relationship among the variables. Finally, we test for causal relationships through Modified Wald test of Tada-Yamamoto (1995) Granger causality tests is employed. Empirical findings show cointegration relationship between the variables while accounting for structural break. Further piece of empirical results suggest that natural gas consumption exerts a significant positive impact on economic output in Iran, and also that there is a one-way causality from natural gas consumption to economic output. Thus, our study corroborates the natural gas-led growth hypothesis; being natural gas consumption a suitable alternative, as a complementary green energy source (IGU, 2015). One important conclusion reached in our study is that there is need for energy portfolio diversification in Iran in order to attain full gains from the energy sector, reducing other energies' emissions. Further insights are elucidated in the main text. Our findings provide policymakers useful insight into the state of the energy sector in Iran.