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Alessio Mastrucci joined IIASA's Energy (ENE) Program, as a Research Scholar in August 2016. At IIASA, he is working on the assessment of energy and human development linkages and on the development of emission pathways for poverty eradication in developing countries using integrated assessment modeling.
Dr. Mastrucci holds a PhD in "Buildings, Architecture and Structures" and a Master’s Degree in "Building Engineering – Architecture" achieved at the Università Politecnica delle Marche (Italy). His fields of interest include building physics, low energy and sustainable architecture, energy modeling and life cycle assessment of large building stocks.
Before joining IIASA, he worked as a postdoctoral researcher at the Università Politecnica delle Marche (Italy) and the Luxembourg Institute of Science and Technology (Luxembourg), and was involved in national and European research projects. His postdoctoral research focused on the development of a framework integrating energy modeling, life cycle assessment and geographical information systems to assess the energy and environmental performance of urban housing stocks and further support carbon mitigation in European cities.
Last update: 03-AUG-2016
Mastrucci A & Rao N (2018). Bridging India’s housing gap: lowering costs and CO2 emissions. Building Research & Information: 1-16. DOI:10.1080/09613218.2018.1483634.
Huppmann D, Gidden M, Fricko O, Kolp P, Orthofer C, Pimmer M, Vinca A, Mastrucci A, et al. (2018). The MESSAGEix Integrated Assessment Model and the ix modeling platform (ixmp). Environmental Modelling & Software (In Press)
Mastrucci A & Rao N (2017). Decent housing in the developing world: Reducing life-cycle energy requirements. Energy and Buildings 152: 629-642. DOI:10.1016/j.enbuild.2017.07.072.
Rao N, Min J, Mastrucci A, & Pachauri S (2017). Decent Living Energy: How much energy do we ‘need’ to provide minimum living standards to all? In: IIASA Institutional Evaluation 2017, 27 February-1 March 2017, IIASA, Laxenburg, Austria.
Mastrucci A, Baume O, Stazi F, & Leopold U (2016). A GIS-based statistical approach to prioritize the retrofit of housing stocks at the urban scale. Journal of Energy Challenges and Mechanics 3 (4): 186-190.
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