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Valentina Castellani   Dr.  Research or Laboratory Scientist 
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Valentina Castellani published an article in December 2018.
Top co-authors
Serenella Sala

90 shared publications

European Commission, Joint Research Centre (JRC), Ispra, Italy

E. Collina

24 shared publications

Università di Milano-Bicocca

Nadia Mirabella

5 shared publications

Research Unit for Sustainable Development (GRISS), Department of Earth and Environmental Sciences; University of Milan Bicocca; Milan Italy

Michela Secchi

4 shared publications

European Commission, Joint Research Centre (JRC), Ispra, Italy

16
Publications
14
Reads
0
Downloads
193
Citations
Publication Record
Distribution of Articles published per year 
(2012 - 2018)
Total number of journals
published in
 
7
 
Publications See all
Article 0 Reads 0 Citations Energy simulation and LCA for macro-scale analysis of eco-innovations in the housing stock Karen Allacker, Valentina Castellani, Giorgio Baldinelli, Fr... Published: 14 December 2018
The International Journal of Life Cycle Assessment, doi: 10.1007/s11367-018-1548-3
DOI See at publisher website ABS Show/hide abstract
Energy consumption of buildings is one of the major drivers of environmental impacts. Life cycle assessment (LCA) may support the assessment of burdens and benefits associated to eco-innovations aiming at reducing these environmental impacts. Energy efficiency policies however typically focus on the meso- or macro-scale, while interventions are typically taken at the micro-scale. This paper presents an approach that bridges this gap by using the results of energy simulations and LCA studies at the building level to estimate the effect of micro-scale eco-innovations on the macro-scale, i.e. the housing stock in Europe. LCA and dynamic energy simulations are integrated to accurately assess the life cycle environmental burdens and benefits of eco-innovation measures at the building level. This allows quantitatively assessing the effectiveness of these measures to lower the energy use and environmental impact of buildings. The analysis at this micro-scale focuses on 24 representative residential buildings within the EU. For the upscaling to the EU housing stock, a hybrid approach is used. The results of the micro-scale analysis are upscaled to the EU housing stock scale by adopting the eco-innovation measures to (part of) the EU building stock (bottom–up approach) and extrapolating the relative impact reduction obtained for the reference buildings to the baseline stock model. The reference buildings in the baseline stock model have been developed by European Commission-Joint Research Centre based on a statistical analysis (top–down approach) of the European housing stock. The method is used to evaluate five scenarios covering various aspects: building components (building envelope insulation), technical installations (renewable energy), user behaviour (night setback of the setpoint temperature), and a combined scenario. Results show that the proposed combination of bottom–up and top–down approaches allow accurately assessing the impact of eco-innovation measures at the macro-scale. The results indicate that a combination of policy measures is necessary to lower the environmental impacts of the building stock to a significative extent. Interventions addressing energy efficiency at building level may lead to the need of a trade-off between resource efficiency and environmental impacts. LCA integrated with dynamic energy simulation may help unveiling the potential improvements and burdens associated to eco-innovations.
Article 2 Reads 2 Citations Systematic analysis of secondary life cycle inventories when modelling agricultural production: A case study for arable ... Sara Corrado, Valentina Castellani, Luca Zampori, Serenella ... Published: 01 January 2018
Journal of Cleaner Production, doi: 10.1016/j.jclepro.2017.03.179
DOI See at publisher website ABS Show/hide abstract
Analysis of agricultural production with life cycle based methodologies is data demanding. To build comprehensive life cycle inventories, secondary datasets are commonly used when primary data are not available. However, different inventory data and modelling approaches are used to populate secondary datasets, leading to different results. The present study analyses the features of twelve secondary datasets to support datasets selection and proper interpretation of results. We assess twelve datasets for arable crop production in France, as modelled in three databases often used in the LCA field (Agri-footprint, ecoinvent and AGRIBALYSE). First, we compared system boundaries and general assumptions. Second, we focused on foreground systems comparing, inventory data, data sources and modelling approaches. Third, we performed a contribution analysis of impact assessment results to identify modelling choices that contribute most to differences in the results. Nine relevant elements were identified and assessed: definition of system boundaries and modelling of agricultural practices, characteristics of inventory data, agricultural operations, fertiliser application and fate, plant protection products application and fate, heavy metals inputs to the agricultural system and fate, irrigation assumptions, land use and transformation. The datasets differ greatly with respect to these elements. Hence, recommendations are drawn from the datasets comparison, supporting the selection of the datasets coherently with the goal and scope of a study and interpretation of results.
Article 3 Reads 19 Citations Environmental impacts of food consumption in Europe Bruno Notarnicola, Giuseppe Tassielli, Pietro Alexander Renz... Published: 01 January 2017
Journal of Cleaner Production, doi: 10.1016/j.jclepro.2016.06.080
DOI See at publisher website ABS Show/hide abstract
Food consumption is amongst the main drivers of environmental impacts. On one hand, there is the need to fulfil a fundamental human need for nutrition, and on the other hand this poses critical threats to the environment. In order to assess the environmental impact of food consumption, a lifecycle assessment (LCA)-based approach has been applied to a basket of products, selected as being representative of EU consumption. A basket of food products was identified as representative of the average food and beverage consumption in Europe, reflecting the relative importance of the products in terms of mass and economic value. The products in the basket are: pork, beef, poultry, milk, cheese, butter, bread, sugar, sunflower oil, olive oil, potatoes, oranges, apples, mineral water, roasted coffee, beer and pre-prepared meals. For each product in the basket, a highly disaggregated inventory model was developed based on a modular approach, and built using statistical data. The environmental impact of the average food consumption of European citizens was assessed using the International Reference Life Cycle Data System (ILCD) methodology. The overall results indicate that, for most of the impact categories, the consumed foods with the highest environmental burden are meat products (beef, pork and poultry) and dairy products (cheese, milk and butter). The agricultural phase is the lifecycle stage that has the highest impact of all the foods in the basket, due to the contribution of agronomic and zootechnical activities. Food processing and logistics are the next most important phases in terms of environmental impacts, due to their energy intensity and the related emissions to the atmosphere that occur through the production of heat, steam and electricity and during transport. Regarding the end-of-life phase, human excretion and wastewater treatments pose environmental burdens related to eutrophying substances whose environmental impacts are greater than those of the agriculture, transports and processing phases. Moreover, food losses which occur throughout the whole lifecycle, in terms of agricultural/industrial and domestic food waste, have also to be taken into consideration, since they can amount to up to 60% of the initial weight of the food products. The results of the study go beyond the mere assessment of the potential impacts associated with food consumption, as the overall approach may serve as a baseline for testing eco-innovation scenarios for impact reduction as well as for setting targets.
Article 5 Reads 8 Citations Hotspots analysis and critical interpretation of food life cycle assessment studies for selecting eco-innovation options... Valentina Castellani, Serenella Sala, Lorenzo Benini Published: 01 January 2017
Journal of Cleaner Production, doi: 10.1016/j.jclepro.2016.05.078
DOI See at publisher website
Article 1 Read 5 Citations Assessing eco-innovations in green chemistry: Life Cycle Assessment (LCA) of a cosmetic product with a bio-based ingredi... Michela Secchi, Valentina Castellani, Elena Collina, Nadia M... Published: 01 August 2016
Journal of Cleaner Production, doi: 10.1016/j.jclepro.2016.04.073
DOI See at publisher website
Article 1 Read 6 Citations A distance-to-target weighting method for Europe 2020 Valentina Castellani, Lorenzo Benini, Serenella Sala, Rana P... Published: 22 March 2016
The International Journal of Life Cycle Assessment, doi: 10.1007/s11367-016-1079-8
DOI See at publisher website
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