871 resultados para Life-cycle assessment (LCA)


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Lo studio che la candidata ha elaborato nel progetto del Dottorato di ricerca si inserisce nel complesso percorso di soluzione del problema energetico che coinvolge necessariamente diverse variabili: economiche, tecniche, politiche e sociali L’obiettivo è di esprimere una valutazione in merito alla concreta “convenienza” dello sfruttamento delle risorse rinnovabili. Il percorso scelto è stato quello di analizzare alcuni impianti di sfruttamento, studiare il loro impatto sull’ambiente ed infine metterli a confronto. Questo ha consentito di trovare elementi oggettivi da poter valutare. In particolare la candidata ha approfondito il tema dello sfruttamento delle risorse “biomasse” analizzando nel dettaglio alcuni impianti in essere nel Territorio della Regione Emilia-Romagna: impianti a micro filiera, filiera corta e filiera lunga. Con la collaborazione di Arpa Emilia-Romagna, Centro CISA e dell’Associazione Prof. Ciancabilla, è stata fatta una scelta degli impianti da analizzare: a micro filiera: impianto a cippato di Castel d’Aiano, a filiera corta: impianto a biogas da biomassa agricola “Mengoli” di Castenaso, a filiera lunga: impianto a biomasse solide “Tampieri Energie” di Faenza. Per quanto riguarda la metodologia di studio utilizzata è stato effettuato uno studio di Life Cycle Assesment (LCA) considerando il ciclo di vita degli impianti. Tramite l’utilizzo del software “SimaPro 6.0” si sono ottenuti i risultati relativi alle categorie di impatto degli impianti considerando i metodi “Eco Indicator 99” ed “Edip Umip 96”. Il confronto fra i risultati dell’analisi dei diversi impianti non ha portato a conclusioni di carattere generale, ma ad approfondite valutazioni specifiche per ogni impianto analizzato, considerata la molteplicità delle variabili di ogni realtà, sia per quanto riguarda la dimensione/scala (microfiliera, filiera corta e filiera lunga) che per quanto riguarda le biomasse utilizzate.

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Life Cycle Assessment (LCA) is a chain-oriented tool to evaluate the environment performance of products focussing on the entire life cycle of these products: from the extraction of resources, via manufacturing and use, to the final processing of the disposed products. Through all these stages consumption of resources and pollutant releases to air, water, soil are identified and quantified in Life Cycle Inventory (LCI) analysis. Subsequently to the LCI phase follows the Life Cycle Impact Assessment (LCIA) phase; that has the purpose to convert resource consumptions and pollutant releases in environmental impacts. The LCIA aims to model and to evaluate environmental issues, called impact categories. Several reports emphasises the importance of LCA in the field of ENMs. The ENMs offer enormous potential for the development of new products and application. There are however unanswered questions about the impacts of ENMs on human health and the environment. In the last decade the increasing production, use and consumption of nanoproducts, with a consequent release into the environment, has accentuated the obligation to ensure that potential risks are adequately understood to protect both human health and environment. Due to its holistic and comprehensive assessment, LCA is an essential tool evaluate, understand and manage the environmental and health effects of nanotechnology. The evaluation of health and environmental impacts of nanotechnologies, throughout the whole of their life-cycle by using LCA methodology. This is due to the lack of knowledge in relation to risk assessment. In fact, to date, the knowledge on human and environmental exposure to nanomaterials, such ENPs is limited. This bottleneck is reflected into LCA where characterisation models and consequently characterisation factors for ENPs are missed. The PhD project aims to assess limitations and challenges of the freshwater aquatic ecotoxicity potential evaluation in LCIA phase for ENPs and in particular nanoparticles as n-TiO2.

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Le sperimentazioni riguardanti la produzione di biodiesel da alghe sono state condotte solo in laboratorio o in impianti pilota e il processo produttivo non è ancora stato sviluppato su scala industriale. L’obiettivo di questo lavoro di tesi è stato quello di valutare la potenziale sostenibilità ambientale ed energetica della produzione industriale di biodiesel da microalghe nella realtà danese ipotizzando la coltivazione in fotobioreattori. La tesi ha analizzato le diverse tecnologie attualmente in sperimentazione cercando di metterne in evidenza punti di forza e punti di debolezza. La metodologia applicata in questa tesi per valutare la sostenibilità ambientale ed energetica dei processi analizzati è LCA strumento che permette di effettuare la valutazione sull’intero ciclo di vita di un prodotto o di un processo. L’unità funzionale scelta è 1 MJ di biodiesel. I confini del sistema analizzato comprendono: coltivazione, raccolta, essicazione, estrazione dell’olio, transesterificazione, digestione anaerobica della biomassa residuale e uso del glicerolo ottenuto come sottoprodotto della transesterificazione. Diverse categorie d’impatto sono state analizzate. In questo caso studio, sono stati ipotizzati 24 diversi scenari differenziati in base alle modalità di coltivazione, di raccolta della biomassa, di estrazione dell’olio algale. 1. la produzione di biodiesel da microalghe coltivate in fotobioreattori non appare ancora conveniente né dal punto di vista energetico né da quello ambientale. 2. l’uso di CO2 di scarto e di acque reflue per la coltivazione, fra l’altro non ancora tecnicamente realizzabili, migliorerebbero le prestazioni energetiche ed ambientali del biodiesel da microalghe 3. la valorizzazione di prodotti secondari svolge un ruolo importante nel processo e nel suo sviluppo su larga scala Si conclude ricordando che il progetto di tesi è stato svolto in collaborazione con la Danish Technical University of Denmark (DTU) svolgendo presso tale università un periodo di tirocinio per tesi di sei mesi

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Per lo svolgimento della tesi ci si è rivolti ad un'azienda particolarmente conosciuta per la sua attenzione alle tematiche ambientali: la Mengozzi Rifiuti Sanitari S.p.A.. L'impianto, sito a Forlì, comprende una sezione dedicata alla gestione di contenitori in materiale plastico per rifiuti sanitari e una sezione per la termovalorizzazione di questi. Si è incentrato lo studio sulla prima parte dell'impianto che si occupa della produzione, del trasporto verso la struttura in cui è utilizzato, del ritorno in azienda e del riuso per più cicli previa sanificazione fino al riciclo per lo stampaggio di nuovi contenitori. Si è pensato di prendere in considerazione i bidoni che sono gestiti dalla Mengozzi S.p.A. e se ne è svolta un'analisi LCA comparativa tra il contenitore effettivamente in carico all'azienda e un altro ipotetico con le medesime caratteristiche strutturali ma gestito diversamente (incenerito dopo un solo utilizzo). Essendo il contenitore di plastica si è inoltre svolta una comparazione tra 2 materiali termoplastici di massa aventi caratteristiche molto simili, quali sono il polietilene ad alta densità (HDPE) e il polipropilene (PP). Il software che è stato utilizzato per condurre l'analisi è SimaPro 7.3 e il metodo lo svizzero IMPACT 2002+. Nello svolgimento si sono considerati 12 bidoni monouso che hanno in pratica la stessa funzione dell'unico bidone sanificato dopo ogni utilizzo e infine riciclato. Dall'analisi è emerso (come facilmente ipotizzabile) che il bidone riusato genera un impatto ambientale nettamente minore rispetto a quello monouso mentre non vi è apprezzabile differenza tra differente tipologia di materiale termoplastico costituente il bidone stesso: L'importanza della scelta della più adeguata modalità di gestione del fine vita e del materiale di composizione in termini ambientali è più marcata a causa di un'attenzione sempre crescente verso le tematiche di sostenibilità.

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I materiali plastici trovano ampie applicazioni in ogni aspetto della vita e delle attività industriali. La maggior parte delle plastiche convenzionali non sono biodegradabili e il loro accumulo è una minaccia per il pianeta. I biopolimeri presentano vantaggi quali: la riduzione del consumo delle risorse e la riduzione delle emissioni CO2, offrendo un importante contributo allo sviluppo sostenibile. Tra i biopolimeri più interessanti troviamo il poliidrossibutirrato (PHB), l’oggetto di questo studio, che è il più noto dei poliidrossialcanoati. Questo polimero biodegradabile mostra molte somiglianze con il polipropilene. La tesi consiste nell’applicazione del Life Cycle Assessment a processi di estrazione del PHB da colture batteriche. In essa sono valutate le prestazioni ambientali di 4 possibili processi alternativi, sviluppati dal CIRI EA, che utilizzano il dimetilcarbonato (DMC) e di 3 processi che utilizzano solventi alogenati (cloroformio, diclorometano, dicloroetano). Per quanto riguarda i processi che utilizzano come solvente di estrazione il DMC, due sono gli aspetti indagati e per i quali differiscono le alternative: la biomassa di partenza (secca o umida), e il metodo di separazione del polimero dal solvente (per evaporazione del DMC oppure per precipitazione). I dati primari di tutti gli scenari sono di laboratorio per cui è stato necessario realizzare un up scaling industriale di tutti i processi. L’up scaling è stato realizzato in collaborazione con il Dipartimento di Ingegneria Civile Chimica Ambientale e dei Materiali. La valutazione delle prestazioni ambientali è stata fatta rispetto a tutte le categorie d’impatto raccomandate dall’Handbook della Commissione Europea, di queste solo alcune sono state analizzate nel dettaglio. Tutti i risultati mostrano un andamento simile, in cui gli impatti dei processi che utilizzano DMC sono inferiori a quelli dei solventi alogenati. Fra i processi che impiegano DMC, l’alternativa più interessante appare quella che impiega biomassa di partenza secca e raccolta del PHB per precipitazione.

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Algae are considered a promising source of biofuels in the future. However, the environmental impact of algae-based fuel has high variability in previous LCA studies due to lack of accurate data from researchers and industry. The National Alliance for Advanced Biofuels and Bioproducts (NAABB) project was designed to produce and evaluate new technologies that can be implemented by the algal biofuel industry and establish the overall process sustainability. The MTU research group within NAABB worked on the environmental sustainability part of the consortium with UOP-Honeywell and with the University of Arizona (Dr. Paul Blowers). Several life cycle analysis (LCA) models were developed within the GREET Model and SimaPro 7.3 software to quantitatively assess the environment viability and sustainability of algal fuel processes. The baseline GREET Harmonized algae life cycle was expanded and replicated in SimaPro software, important differences in emission factors between GREET/E-Grid database and SimaPro/Ecoinvent database were compared, and adjustments were made to the SimaPro analyses. The results indicated that in most cases SimaPro has a higher emission penalty for inputs of electricity, chemicals, and other materials to the algae biofuels life cycle. A system-wide model of algae life cycle was made starting with preliminary data from the literature, and then progressed to detailed analyses based on inputs from all NAABB research areas, and finally several important scenarios in the algae life cycle were investigated as variations to the baseline scenario. Scenarios include conversion to jet fuel instead of biodiesel or renewable diesel, impacts of infrastructure for algae cultivation, co-product allocation methodology, and different usage of lipid-extracted algae (LEA). The infrastructure impact of algae cultivation is minimal compared to the overall life cycle. However, in the scenarios investigating LEA usage for animal feed instead of internal recycling for energy use and nutrient recovery the results reflect the high potential variability in LCA results. Calculated life cycle GHG values for biofuel production scenarios where LEA is used as animal feed ranged from a 55% reduction to 127% increase compared to the GREET baseline scenario depending on the choice of feed meal. Different allocation methods also affect LCA results significantly. Four novel harvesting technologies and two extraction technologies provided by the NAABB internal report have been analysis using SimaPro LCA software. The results indicated that a combination of acoustic extraction and acoustic harvesting technologies show the most promising result of all combinations to optimize the extraction of algae oil from algae. These scenario evaluations provide important insights for consideration when planning for the future of an algae-based biofuel industry.

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Purpose Concentrating Solar Power (CSP) plants based on parabolic troughs utilize auxiliary fuels (usually natural gas) to facilitate start-up operations, avoid freezing of HTF and increase power output. This practice has a significant effect on the environmental performance of the technology. The aim of this paper is to quantify the sustainability of CSP and to analyse how this is affected by hybridisation with different natural gas (NG) inputs. Methods A complete Life Cycle (LC) inventory was gathered for a commercial wet-cooled 50 MWe CSP plant based on parabolic troughs. A sensitivity analysis was conducted to evaluate the environmental performance of the plant operating with different NG inputs (between 0 and 35% of gross electricity generation). ReCiPe Europe (H) was used as LCA methodology. CML 2 baseline 2000 World and ReCiPe Europe E were used for comparative purposes. Cumulative Energy Demands (CED) and Energy Payback Times (EPT) were also determined for each scenario. Results and discussion Operation of CSP using solar energy only produced the following environmental profile: climate change 26.6 kg CO2 eq/KWh, human toxicity 13.1 kg 1,4-DB eq/KWh, marine ecotoxicity 276 g 1,4-DB eq/KWh, natural land transformation 0.005 m2/KWh, eutrophication 10.1 g P eq/KWh, acidification 166 g SO2 eq/KWh. Most of these impacts are associated with extraction of raw materials and manufacturing of plant components. The utilization NG transformed the environmental profile of the technology, placing increasing weight on impacts related to its operation and maintenance. Significantly higher impacts were observed on categories like climate change (311 kg CO2 eq/MWh when using 35 % NG), natural land transformation, terrestrial acidification and fossil depletion. Despite its fossil nature, the use of NG had a beneficial effect on other impact categories (human and marine toxicity, freshwater eutrophication and natural land transformation) due to the higher electricity output achieved. The overall environmental performance of CSP significantly deteriorated with the use of NG (single score 3.52 pt in solar only operation compared to 36.1 pt when using 35 % NG). Other sustainability parameters like EPT and CED also increased substantially as a result of higher NG inputs. Quasilinear second-degree polynomial relationships were calculated between various environmental performance parameters and NG contributions. Conclusions Energy input from auxiliary NG determines the environmental profile of the CSP plant. Aggregated analysis shows a deleterious effect on the overall environmental performance of the technology as a result of NG utilization. This is due primarily to higher impacts on environmental categories like climate change, natural land transformation, fossil fuel depletion and terrestrial acidification. NG may be used in a more sustainable and cost-effective manner in combined cycle power plants, which achieve higher energy conversion efficiencies.

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The present work aims to develop the Life Cycle Assessment study of thermo-modified Atlanticwood® pine boards based on real data provided by Santos & Santos Madeiras company. Atlanticwood® pine boards are used mainly for exterior decking and cladding facades of buildings. The LCA study is elaborated based on ISO 14040/44 standard and Product Category Rules for preparing an environmental product declaration for Construction Products and Construction Services. The inventory analysis and, subsequently, the impact analysis have been performed using the LCA software SimaPro8.0.4. The method chosen for impact assessment was EPD (2013) V1.01. The results show that more than ¾ of ‘Acidification’, ‘Eutrophication’, ‘Global warming’ and ‘Abiotic depletion’ caused by 1 m3 of Atlanticwood® pine boards production is due to energy consumption (electricity + gas + biomass). This was to be expected since the treatment is based on heat production and no chemicals are added during the heat treatment process.

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One challenge related to transit planning is selecting the appropriate mode: bus, light rail transit (LRT), regional express rail (RER), or subway. This project uses data from life cycle assessment to develop a tool to measure energy requirements for different modes of transit, on a per passenger-kilometer basis. For each of the four transit modes listed, a range of energy requirements associated with different vehicle models and manufacturers was developed. The tool demonstrated that there are distinct ranges where specific transit modes are the best choice. Diesel buses are the clear best choice from 7-51 passengers, LRTs make the most sense from 201-427 passengers, and subways are the best choice above 918 passengers. There are a number of other passenger loading ranges where more than one transit mode makes sense; in particular, LRT and RER represent very energy-efficient options for ridership ranging from 200 to 900 passengers. The tool developed in the thesis was used to analyze the Bloor-Danforth subway line in Toronto using estimated ridership for weekday morning peak hours. It was found that ridership across the line is for the most part actually insufficient to justify subways over LRTs or RER. This suggests that extensions to the existing Bloor-Danforth line should consider LRT options, which could service the passenger loads at the ends of the line with far greater energy efficiency. It was also clear that additional destinations along the entire transit line are necessary to increase the per passenger-kilometer energy efficiency, as the current pattern of commuting to downtown leaves much of the system underutilized. It is hoped that the tool developed in this thesis can be used as an additional resource in the transit mode decision-making process for many developing transportation systems, including the transit systems across the GTHA.

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The United States of America is making great efforts to transform the renewable and abundant biomass resources into cost-competitive, high-performance biofuels, bioproducts, and biopower. This is the key to increase domestic production of transportation fuels and renewable energy, and reduce greenhouse gas and other pollutant emissions. This dissertation focuses specifically on assessing the life cycle environmental impacts of biofuels and bioenergy produced from renewable feedstocks, such as lignocellulosic biomass, renewable oils and fats. The first part of the dissertation presents the life cycle greenhouse gas (GHG) emissions and energy demands of renewable diesel (RD) and hydroprocessed jet fuels (HRJ). The feedstocks include soybean, camelina, field pennycress, jatropha, algae, tallow and etc. Results show that RD and HRJ produced from these feedstocks reduce GHG emissions by over 50% compared to comparably performing petroleum fuels. Fossil energy requirements are also significantly reduced. The second part of this dissertation discusses the life cycle GHG emissions, energy demands and other environmental aspects of pyrolysis oil as well as pyrolysis oil derived biofuels and bioenergy. The feedstocks include waste materials such as sawmill residues, logging residues, sugarcane bagasse and corn stover, and short rotation forestry feedstocks such as hybrid poplar and willow. These LCA results show that as much as 98% GHG emission savings is possible relative to a petroleum heavy fuel oil. Life cycle GHG savings of 77 to 99% were estimated for power generation from pyrolysis oil combustion relative to fossil fuels combustion for electricity, depending on the biomass feedstock and combustion technologies used. Transportation fuels hydroprocessed from pyrolysis oil show over 60% of GHG reductions compared to petroleum gasoline and diesel. The energy required to produce pyrolysis oil and pyrolysis oil derived biofuels and bioelectricity are mainly from renewable biomass, as opposed to fossil energy. Other environmental benefits include human health, ecosystem quality and fossil resources. The third part of the dissertation addresses the direct land use change (dLUC) impact of forest based biofuels and bioenergy. An intensive harvest of aspen in Michigan is investigated to understand the GHG mitigation with biofuels and bioenergy production. The study shows that the intensive harvest of aspen in MI compared to business as usual (BAU) harvesting can produce 18.5 billion gallons of ethanol to blend with gasoline for the transport sector over the next 250 years, or 32.2 billion gallons of bio-oil by the fast pyrolysis process, which can be combusted to generate electricity or upgraded to gasoline and diesel. Intensive harvesting of these forests can result in carbon loss initially in the aspen forest, but eventually accumulates more carbon in the ecosystem, which translates to a CO2 credit from the dLUC impact. Time required for the forest-based biofuels to reach carbon neutrality is approximately 60 years. The last part of the dissertation describes the use of depolymerization model as a tool to understand the kinetic behavior of hemicellulose hydrolysis under dilute acid conditions. Experiments are carried out to measure the concentrations of xylose and xylooligomers during dilute acid hydrolysis of aspen. The experiment data are used to fine tune the parameters of the depolymerization model. The results show that the depolymerization model successfully predicts the xylose monomer profile in the reaction, however, it overestimates the concentrations of xylooligomers.

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In life cycle assessment studies, greenhouse gas (GHG) emissions from direct land-use change have been estimated to make a significant contribution to the global warming potential of agricultural products. However, these estimates have a high uncertainty due to the complexity of data requirements and difficulty in attribution of land-use change. This paper presents estimates of GHG emissions from direct land-use change from native woodland to grazing land for two beef production regions in eastern Australia, which were the subject of a multi-impact life cycle assessment study for premium beef production. Spatially- and temporally consistent datasets were derived for areas of forest cover and biomass carbon stocks using published remotely sensed tree-cover data and regionally applicable allometric equations consistent with Australia's national GHG inventory report. Standard life cycle assessment methodology was used to estimate GHG emissions and removals from direct land-use change attributed to beef production. For the northern-central New South Wales region of Australia estimates ranged from a net emission of 0.03 t CO2-e ha-1 year-1 to net removal of 0.12 t CO2-e ha-1 year-1 using low and high scenarios, respectively, for sequestration in regrowing forests. For the same period (1990-2010), the study region in southern-central Queensland was estimated to have net emissions from land-use change in the range of 0.45-0.25 t CO2-e ha-1 year-1. The difference between regions reflects continuation of higher rates of deforestation in Queensland until strict regulation in 2006 whereas native vegetation protection laws were introduced earlier in New South Wales. On the basis of liveweight produced at the farm-gate, emissions from direct land-use change for 1990-2010 were comparable in magnitude to those from other on-farm sources, which were dominated by enteric methane. However, calculation of land-use change impacts for the Queensland region for a period starting 2006, gave a range from net emissions of 0.11 t CO2-e ha-1 year-1 to net removals of 0.07 t CO2-e ha-1 year-1. This study demonstrated a method for deriving spatially- and temporally consistent datasets to improve estimates for direct land-use change impacts in life cycle assessment. It identified areas of uncertainty, including rates of sequestration in woody regrowth and impacts of land-use change on soil carbon stocks in grazed woodlands, but also showed the potential for direct land-use change to represent a net sink for GHG.