Dr. Federico Scarpa

University of Genoa, Italy



1994 Ph.D., Applied Thermodynamics, University of Genoa, Italy

1990 M.Sc., Mechanical Engineering, University of Genoa, Italy

Publications (Selected)

  1. Tagliafico, G., Scarpa, F., Tagliafico, L.A.(2013),A dimensionless description of active magnetic regenerators to compare their performance and to simplify their optimization, International Journal of Refrigeration, 36 (3), pp. 941-949.
  2. Tagliafico, L.A., Scarpa, F., Valsuani, F., Tagliafico, G.(2013), Preliminary experimental results from a linear reciprocating magnetic refrigerator prototype, Applied Thermal Engineering, 52 (2), pp. 492-497.
  3. Tagliafico, L.A., Scarpa, F., Tagliafico, G., Valsuani, F.(2012), An approach to energy saving assessment of solar assisted heat pumps for swimming pool water heating, Energy and Buildings, 55, pp. 833-840.
  4. Scarpa, F., Tagliafico, G., Tagliafico, L.A.(2012), Control optimization in experiments for the heat transfer assessment of saturated packed bed regenerators, International Journal of Heat and Mass Transfer, 55 (23-24), pp. 6944-6950.
  5. Tagliafico, L.A., Scarpa, F., Tagliafico, G.(2012), A compact dynamic model for household vapor compression refrigerated systems, Applied Thermal Engineering, 35 (1), pp. 1-8.
  6. Scarpa, F., Tagliafico, G., Tagliafico, L.A.(2012), Classification proposal for room temperature magnetic refrigerators, International Journal of Refrigeration, 35 (2), pp. 453-458.
  7. Scarpa, F., Tagliafico, L.A., Tagliafico, G.(2011), Integrated solar-assisted heat pumps for water heating coupled to gas burners; Control criteria for dynamic operation, Applied Thermal Engineering, 31 (1), pp. 59-68.
  8. Tagliafico, G., Scarpa, F., Canepa, F.(2010), A dynamic 1-D model for a reciprocating active magnetic regenerator; influence of the main working parameters, International Journal of Refrigeration, 33 (2), pp. 286-293.
  9. Canepa, F., Cirafici, S., Napoletano, M., Cimberle, M.R., Tagliafico, L., Scarpa, F.(2008), Ageing effect on the magnetocaloric properties of Gd, Gd5Si 1.9Ge2.1 and on the eutectic composition Gd 75Cd25, Journal of Physics D: Applied Physics, 41 (15), art. no. 155004.
  10. Scarpa, F., Tagliafico, L.A.(2008), A new procedure to measure water adsorption isotherms of porous fibrous materials, Journal of Porous Materials, 15 (4), pp. 451-456.
  11. Tagliafico, L.A., Scarpa, F., Canepa, F., Cirafici, S.(2006), Performance analysis of a room temperature rotary magnetic refrigerator for two different gadolinium compounds, International Journal of Refrigeration, 29 (8), pp. 1307-1317.
  12. Scarpa, F., Milano, G.(2002), The Role of Adsorption and Phase Change Phenomena in the Thermophysical Characterization of Moist Porous Materials, International Journal of Thermophysics, 23 (4), pp. 1033-1046.
  13. Milano, G., Scarpa, F., Righini, F., Bussolino, G.C. (2001), Ten years of parameter estimation applied to dynamic thermophysical property measurements, International Journal of Thermophysics, 22 (4), pp. 1227-1240.
  14. Milano, G., Scarpa, F., Cartesegna, M. (2000), Adaptive correction of dynamic temperature measurements to improve estimation of thermophysical properties, High Temperatures - High Pressures, 32 (3), pp. 293-303.
  15. Scarpa, F., Milano, G.(1999), Influence of sensor calibration uncertainty in the inverse heat conduction problem (IHCP), Numerical Heat Transfer, Part B: Fundamentals, 36 (4), pp. 457-474.
  16. Scarpa, F.(1998), Evaluation of reliable confidence bounds for sensor calibration curves, Metrologia, 35 (1), pp. 1-5.
  17. Righini, F., Spišiak, J., Bussolino, G.C., Scarpa, F.(1997), Computational methods for the determination of thermophysical properties in pulse-heating experiments, High Temperatures - High Pressures, 29 (4), pp. 473-480.
  18. Scarpa, F., Milano, G.(1995), Kalman smoothing technique applied to the inverse heat conduction problem, Numerical Heat Transfer, Part B: Fundamentals, 28 (1), pp. 79-96.
  19. Scarpa, F., Milano, G., Pescetti, D.(1993), Thermophysical properties estimation form transient data: kalman versus gauss approach, Proceedings of the 1st International Conference on Inverse Problems in Engineering, pp. 109-116.
  20. Scarpa, F., Bartolini, R., Milano, G. (1991), State space (Kalman) estimator in the reconstruction of thermal diffusivity from noisy temperature measurements, High Temperatures - High Pressures, 23 (6), pp. 633-642.

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