Valentina Fantin
ENEA
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Featured researches published by Valentina Fantin.
10.1007/978-3-319-11940-3 | 2015
Rocco Roma; Sara Corrado; Annalisa De Boni; Maria Bonaventura Forleo; Valentina Fantin; Michele Moretti; Nadia Palmieri; Andrea Vitali; Camillo De Camillis
The current emphasis on sustainable development warrants the development and adoption of innovations to render industrial production more efficient in the use of natural resources and less polluting. In order to develop innovations for sustainability, management models and evaluation tools must integrate objective environmental considerations. One such tool is the Ambitec-Agro System, a set of integrated indicators specifically proposed to assess environmental impacts of agro-industrial innovations. This System compares an innovation’s environmental performance against the preexisting technology, focusing the analysis on the innovation-adopting establishment scale. This study presents a conceptual method that expands the scope of Ambitec-Agro by including life cycle thinking and watershed vulnerability analysis to the environmental performance evaluation of agro-industrial innovations. In order to develop this approach, the steps inherent to a multi-criteria decision support system were followed. The proposed method includes four life cycle phases to evaluate the environmental performance of an agro-industrial innovation: (i) raw material production used by innovation, (ii) innovation production, (iii) innovation use and (iv) its final disposal. The method also includes a vulnerability analysis of the watersheds where each life cycle phase takes place. The proposed integrated method provides decision makers a broadened view of an agro-industrial innovation environmental performance, shedding light on technological improvements throughout its entire life cycle.
Science of The Total Environment | 2014
Valentina Fantin; Simona Scalbi; Giuseppe Ottaviano; Paolo Masoni
The purpose of this study is to propose a method for harmonising Life Cycle Assessment (LCA) literature studies on the same product or on different products fulfilling the same function for a reliable and meaningful comparison of their life-cycle environmental impacts. The method is divided in six main steps which aim to rationalize and quicken the efforts needed to carry out the comparison. The steps include: 1) a clear definition of the goal and scope of the review; 2) critical review of the references; 3) identification of significant parameters that have to be harmonised; 4) harmonisation of the parameters; 5) statistical analysis to support the comparison; 6) results and discussion. This approach was then applied to the comparative analysis of the published LCA studies on tap and bottled water production, focussing on Global Warming Potential (GWP) results, with the aim to identify the environmental preferable alternative. A statistical analysis with Wilcoxons test confirmed that the difference between harmonised GWP values of tap and bottled water was significant. The results obtained from the comparison of the harmonised mean GWP results showed that tap water always has the best environmental performance, even in case of high energy-consuming technologies for drinking water treatments. The strength of the method is that it enables both performing a deep analysis of the LCA literature and obtaining more consistent comparisons across the published LCAs. For these reasons, it can be a valuable tool which provides useful information for both practitioners and decision makers. Finally, its application to the case study allowed both to supply a description of systems variability and to evaluate the importance of several key parameters for tap and bottled water production. The comparative review of LCA studies, with the inclusion of a statistical decision test, can validate and strengthen the final statements of the comparison.
Journal of Dairy Science | 2014
G. Pirlo; S. Carè; Valentina Fantin; F. Falconi; Patrizia Buttol; G.M. Terzano; Paolo Masoni; C. Pacelli
This study quantifies the environmental impact of milk production of Italian Mediterranean buffaloes and points out the farm characteristics that mainly affect their environmental performance. Life cycle assessment was applied in a sample of 6 farms. The functional unit was 1 kg of normalized buffalo milk (LBN), with a reference milk fat and protein content of 8.3 and 4.73%, respectively. The system boundaries included the agricultural phase of the buffalo milk chain from cradle to farm gate. An economic criterion was adopted to allocate the impacts on milk production. Impact categories investigated were global warming (GW), abiotic depletion (AD), photochemical ozone formation (PO), acidification (AC), and eutrophication (EU). The contribution to the total results of the following farm activities were investigated: (1) on-farm energy consumption, (2) manure management, (3) manure application, (4) on-farm feed production (comprising production and application of chemical fertilizers and pesticides), (5) purchased feed production, (6) enteric fermentation, and (7) transport of purchased feeds, chemical fertilizers, and pesticides from producers to farms. Global warming associated with 1 kg of LBN resulted in 5.07 kg of CO₂ Eq [coefficient of variation (CV)=21.9%], AD was 3.5 × 10(-3) kg of Sb Eq (CV=51.7%), PO was 6.8 × 10(-4) kg of C₂H₄ Eq (CV=28.8%), AC was 6.5 × 10(-2) kg of SO₂ Eq (CV=30.3%), and EU was 3.3 × 10(-2) kg of PO₄(3-) Eq (CV=36.5%). The contribution of enteric fermentation and manure application to GW is 37 and 20%, respectively; on-farm consumption, on-farm feed production, and purchased feed production are the main contributors to AD; about 70% of PO is due to enteric fermentation; manure management and manure application are responsible for 55 and 25% of AC and 25 and 55% of EU, respectively. Methane and N₂O are responsible for 44 and 43% of GW, respectively. Crude oil consumption is responsible for about 72% of AD; contribution of CH4 to PO is 77%; NH₃ is the main contributor to AC (92%); NO₃(-) and NH₃ are responsible for 55 and 41% of EU, respectively; contribution of P to EU is only 3.2%. The main characteristics explaining the significant variability of life cycle assessment are milk productivity and amount of purchased feed per kilogram of LBN. Improvement of LBN production per buffalo cow is the main strategy for reducing GW and PO; improvement of the efficiency of feed use is the strategy proposed for mitigating AD, PO, AC, and EU.
Archive | 2015
Rocco Roma; Sara Corrado; Annalisa De Boni; Maria Bonaventura Forleo; Valentina Fantin; Michele Moretti; Nadia Palmieri; Andrea Vitali; De Camillis Camillo
The livestock production sector represents more than 40 % of the economic value of EU primary productions. This sector consists of a huge diversity of processes and techniques depending on the animal species and the final products. Because of these differences, livestock productions are associated with several adverse effects on the environment, especially in the breeding phases and feeding composition and management; moreover, in terms of raising awareness of the environmental implications of livestock productions, LCA applications are of increasing importance for systematic assessment of the environmental burdens connected with this sector. After an overview of the structural and economic characteristics of the most significant livestock supply chain and its main environmental problems, we provide a description of the international state of the art of LCA implementations for livestock. Methodological problems connected with the application of LCA are investigated, starting with the critical analysis of international papers and the few Italian papers in the scientific literature. Finally, the best practices regarding LCA methodology implementation are proposed, in order to improve results and manage the methodological problems identified.
Archive | 2015
Luigia Petti; Ioannis Arzoumanidis; Graziella Benedetto; Simona Bosco; Maurizio Cellura; Camillo De Camillis; Valentina Fantin; Paola Masotti; Claudio Pattara; Andrea Raggi; Benedetto Rugani; Giuseppe Tassielli; Manfredi Vale
Currently, stakeholders’ increasing attention to quality is driving the wine sector to rethink and change its own production processes. Amongst product quality dimensions, the environment is gaining ever-growing attention at various levels of policy-making and business. Given its soundness, the use of Life Cycle Assessment (LCA) has become widespread in many application contexts. Apart from applications for communication purposes, LCA has also been used in the wine sector to highlight environmental hot spots in supply chains, to compare farming practices and to detect improvement options, inter alia. Case studies whose focus is the wine industry abound in high quality publications.
Science of The Total Environment | 2016
G. Pirlo; S. Carè; G.D. Casa; R. Marchetti; G. Ponzoni; V. Faeti; Valentina Fantin; Paolo Masoni; Patrizia Buttol; L. Zerbinatti; F. Falconi
Four breeding piggeries and eight growing-fattening piggeries were analyzed to estimate potential environmental impacts of heavy pig production (>160kg of live height at slaughtering). Life Cycle Assessment methodology was adopted in the study, considering a system from breeding phase to growing fattening phase. Environmental impacts of breeding phase and growing-fattening phase were accounted separately and then combined to obtain the impacts of heavy pig production. The functional unit was 1kg of live weight gain. Impact categories investigated were global warming (GW), acidification (AC), eutrophication (EU), abiotic depletion (AD), and photochemical ozone formation (PO). The total environmental impact of 1kg of live weight gain was 3.3kg CO2eq, 4.9E-2kg SO2eq, 3.1E-2kg PO4(3-)eq, 3.7E-3kg Sbeq, 1.7E-3kg C2H4eq for GW, AC, EU, AD, and PO respectively. Feed production was the main hotspot in all impact categories. Greenhouse gases responsible for GW were mainly CH4, N2O, and CO2. Ammonia was the most important source of AC, sharing about 90%. Nitrate and NH3 were the main emissions responsible for EU, whereas P and NOx showed minor contributions. Crude oil and natural gas consumption was the main source of AD. A large spectrum of pollutants had a significant impact on PO: they comprised CH4 from manure fermentation, CO2 caused by fossil fuel combustion in agricultural operations and industrial processes, ethane and propene emitted during oil extraction and refining, and hexane used in soybean oil extraction. The farm characteristics that best explained the results were fundamentally connected with performance indicators Farms showed a wide variability of results, meaning that there was wide margin for improving the environmental performance of either breeding or growing-fattening farms. The effectiveness of some mitigation measures was evaluated and the results that could be obtained by their introduction have been presented.
Journal of Cleaner Production | 2012
Valentina Fantin; Patrizia Buttol; Paolo Masoni
Journal of Cleaner Production | 2015
Michele Manfredi; Valentina Fantin; Giuseppe Vignali; Rafael Gavara
Biomass & Bioenergy | 2015
Valentina Fantin; Antonio Giuliano; Michele Manfredi; Giuseppe Ottaviano; Milena Stefanova; Paolo Masoni
Journal of Cleaner Production | 2017
Valentina Fantin; Serena Righi; Irene Rondini; Paolo Masoni