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Your search keyword '"Guerriero, Ettore"' showing total 149 results
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149 results on '"Guerriero, Ettore"'

9. Biomass Combustion in Boiler: Environmental Monitoring of Sugar Markers and Pollutants

Author

Paris, Enrico, primary, Carnevale, Monica, additional, Palma, Adriano, additional, Vincenti, Beatrice, additional, Salerno, Mariangela, additional, Proto, Andrea Rosario, additional, Papandrea, Salvatore, additional, Guerriero, Ettore, additional, Perilli, Mattia, additional, Cerasa, Marina, additional, Di Stefano, Valerio, additional, and Gallucci, Francesco, additional

Published
2024
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16. Estimation Inventories of Persistent Organic Pollutants from Rice Straw Combustion as an Agricultural Waste.

Author

Khalid, Asma, Guerriero, Ettore, Cerasa, Marina, Mahmood, Tariq, Khalid, Azeem, Paris, Enrico, Mosca, Silvia, and Gallucci, Francesco

Subjects
*INCINERATION, *AGRICULTURAL wastes, *RICE straw, *COPPER, *METAL catalysts, *POLYCHLORINATED biphenyls, *PERSISTENT pollutants
Abstract

Rice cultivation stands as the primary agricultural activity in Asia, generating a substantial amount of agricultural waste. Unfortunately, this waste is often disposed of through burning, contributing to severe environmental, health and climate issues. This study presents the characterization of PCDD/Fs, PCBs and PAHs. The emissions were quantified using a fixed-grid-system biomass plant and measuring the macro-pollutants online and sampling the organic micro-pollutants and metals in isokinetic mode, followed by ISO and CEN standards methods. Additionally, the role of agrochemicals was monitored in terms of metal catalysis resulting in POP emissions. This study provides the comprehensive characterization of the most relevant groups of pollutants (metals, PCDD/Fs, PCBs and PAHs) resulting from agricultural waste combustion. Prominent catalytic metals quantified were Cu (22–48 µg/Nm3) and Fe (78–113 µg/Nm3). Rice straw samples from AJK exhibited higher values of organochlorine micro-pollutants compared to those from Punjab and Sindh, i.e., ∑PCDD/F (2594 > 1493 > 856 pg/Nm3) and ∑PCB (41 > 38 > 30 pg/Nm3), respectively, whereas the organic micro-pollutants ∑c-PAH, indicators of incomplete combustion (PICs), were recorded high in the samples from Sindh followed by Punjab and AJK. The average EF is 100 pg/kg, 2.2 pg/kg and 1053.6 µg/kg for ∑PCDD/F, ∑PCB and ∑c-PAH. This study supports the idea that the phenomena leading to the formation of dioxin and dioxin-like compounds are influenced not only by poor combustion but also by the presence of metal catalysts in the burned fuel. [ABSTRACT FROM AUTHOR]

Published
2023
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21. Biomass Combustion: Evaluation of POPs Emissions (VOC, PAH, PCB, PCDD/F) from Three Different Biomass Prunings (Olive, Citrus and Grapevine)

Author

Palma, Adriano, primary, Paris, Enrico, additional, Carnevale, Monica, additional, Vincenti, Beatrice, additional, Perilli, Mattia, additional, Guerriero, Ettore, additional, Cerasa, Marina, additional, Proto, Andrea R., additional, Papandrea, Salvatore F., additional, Bonofiglio, Roberto, additional, Salerno, Mariangela, additional, and Gallucci, Francesco, additional

Published
2022
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23. Dataset of PAHs determined in home-made honey samples collected in Central Italy by means of DLLME-GC-MS and cluster analysis for studying the source apportionment

Author

Passarella, Sergio, primary, Guerriero, Ettore, additional, Quici, Luisangela, additional, Ianiri, Giuseppe, additional, Cerasa, Marina, additional, Notardonato, Ivan, additional, Protano, Carmela, additional, Vitali, Matteo, additional, Russo, Mario Vincenzo, additional, De Cristofaro, Antonio, additional, and Avino, Pasquale, additional

Published
2022
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26. Ambient air PM10-bound PCDD/Fs ANNs prediction from the presence of metals in the surrounding of a bottom ashes recovery site: reliability of the results and influence of meteorological data

Author

Manni, Andrea, Bonelli, MARIA GRAZIA, Mosca, Silvia, cerasa, marina, Guerriero, Ettore, and perilli, mattia

Abstract

Bottom ashes from municipal or industrial incinerators are considered secondary raw materials as they can be used as partial cement replacement in concrete after some preventive physicochemical processes. The possibility of predicting the concentration of the PM10-bound organic contaminants that are usually sampled weekly (PCDD/Fs, PCBs, PAHs), considered as the output data of the forecast, from the concentration of the daily analyzed inorganic pollutants, regarded as the input data, using Artificial Neural Networks (ANNs) as a forecasting tool has been investigated. This work aimed to underline that Artificial Intelligence (AI) can be a support tool for the plant manager to reduce the fallout of its emissions on the ground. Given the correspondence between the input and output data, it is possible to control the emission of micropollutants by monitoring the concentration of PM10 and metals (input). Furthermore, obtaining PM10 and metals data from an analytical point of view is easier and cheaper than POPs. This means that anomalous data of PM10 and/or metals (a daily event) and a higher concentration of POPs could be associated. In this case, it would be possible to promptly start the weekly sampling, thus reducing the costs of air quality analysis. Moreover, since pollutants are emitted from multiple sources, stationary and mobile, the application of ANN as a predictive tool can even support the plant manager (stationary source), acting on operative parameters (i.e., feeding, abatement systems, …) to control polluting emissions. In this way, the contribution to the total concentration of organic micropollutants in ambient air in the surrounding area can be monitored and eventually minimized almost in real-time. The novelty of the present work has been to assess the possible use of metal concentrations as input variables to predict the PM10-bound organic micropollutants concentration (TCDD). ANNs model results indicated that using the meteorological parameters as additional variables to the network is unnecessary. Anyway, in the presence of even very slight correlations between input data and output variables, ANNs can significantly improve their forecasting ability.

Published
2022
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30. A New Testing Facility to Investigate the Removal Processes of Indoor Air Contaminants with Different Cleaning Technologies and to Better Assess and Exploit Their Performances

Author

Ciccioli, Piero, primary, Pallozzi, Emanuele, additional, Guerriero, Ettore, additional, Iannelli, Maria Adelaide, additional, Donati, Enrica, additional, Lilla, Laura, additional, Rinaldi, Carmine, additional, Svaldi, Paolo, additional, Ciccioli, Paolo, additional, and Mabilia, Rosanna, additional

Published
2021
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31. Combustion and Emission Analysis of Spent Mushroom Compost and Forestry Woodchip for Management and Energy Production.

Author

Carnevale, Monica, Paris, Enrico, Vincenti, Beatrice, Palma, Adriano, Salerno, Mariangela, Guerriero, Ettore, Mancini, Raffaele, Calcopietro, Marco, and Gallucci, Francesco

Subjects
FOREST management, COMBUSTION, PRODUCTION management (Manufacturing), ENERGY management, BIOMASS energy, FLUE gases
Abstract

Forestry woodchip and spent mushroom compost have commercial potential as sustainable residues in biological and chemical processes for energy production. This study focuses on the evaluation of agri-food industry waste energy valorization, with the aim to reduce the valuable biomass utilization for energy production without decreasing the process quality, thereby pursuing economic and environmental advantages. Burning trials were conducted in a fluidized bed biomass plant provided with emission abatement systems. The biomass mixture used for combustion was composed of pine and oak woodchip and spent mushroom compost. The biomass used was first characterized through compositional and energetic analysis, and subsequently, during the burning tests, a monitoring sampling campaign was carried out to analyze the gas and particles emission. Optimal combustion conditions were observed during combustion, with good oxidation of the organic material, relatively high CO2 production, and low CO concentration in flue gas. Nevertheless, SO2 concentrations in the combustion flue gas are greater than those found in the combustion of the most commonly used biomasses. In fact, the mixture compositional characterization revealed a non-negligible concentration of sulfur, which explains the high values of SO2 detected in emission. The obtained results confirm that controlled combustion, together with suitable biomasses utilization, preliminary characterization, and emission monitoring, are essential practices for the realization of a sustainable process, both from an energy and environmental point of view. [ABSTRACT FROM AUTHOR]

Published
2023
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35. Neutralization of radionuclides

Author

Albertini, Gianni, primary, Bassani, Domenico, additional, Cardone, Fabio, additional, Cherubini, Giovanni, additional, Guerriero, Ettore, additional, and Rosada, Alberto, additional

Published
2020
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48. Wood Chip Drying through the Using of a Mobile Rotary Dryer

Author

Del Giudice, Angelo, primary, Acampora, Andrea, additional, Santangelo, Enrico, additional, Pari, Luigi, additional, Bergonzoli, Simone, additional, Guerriero, Ettore, additional, Petracchini, Francesco, additional, Torre, Marco, additional, Paolini, Valerio, additional, and Gallucci, Francesco, additional

Published
2019
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49. Neutralization of radionuclides.

Author

Albertini, Gianni, Bassani, Domenico, Cardone, Fabio, Cherubini, Giovanni, Guerriero, Ettore, and Rosada, Alberto

Subjects
RADIOISOTOPES, BETA decay, SONICATION, LORENTZ invariance, NUCLEAR reactions, RADIOACTIVE substances, NUCLIDES
Abstract

Three cases are reviewed of radioactive material with anomalous decay after ultrasound irradiation. In the pure element thorium-228 in distilled water, the radioactivity decreased faster after cavitation than the natural decay. The more complex molecule of Nickel Nitrate, made of radioactive nickel-63, in solution of nitric acid and distilled water was investigated before and after ultrasound irradiation. The X-rays produced by Bremsstrahlung of the electrons from the beta decay of Ni-63 were recorded and a 13% decrease of intensity was measured after 100 s of sonication. A decrease of nickel and an increase of other elements was detected by mass spectrometry in the sonicated sample. The Cobalt-57 decay was investigated by detecting the gamma and X-ray intensity from the Iron-57 resulting after its beta emission. In this third case too, an anomalous decay was observed after sonication. These three cases of anomalous behavior can be explained at the light of the Deformed Space–Time theory. It assumes that a suitable sudden variation of energy density can induce a local deformation of space–time, thus violating the Local Lorentz Invariance. This variation can be created by the ultrasounds in the matter, thus, allowing reactions that cannot occur in a flat (Minkowskian) space–time. The "neutralization" of a radionuclide occurs when it undergoes a DST transformation changing the radionuclide into non-radioactive nuclides. [ABSTRACT FROM AUTHOR]

Published
2021
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