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Model-Based Assessment of Giant Reed ( Arundo donax L.) Energy Yield in the Form of Diverse Biofuels in Marginal Areas of Italy

Author

Listed:
  • Giovanni Alessandro Cappelli

    (CREA—AA Council for Agricultural Research and Economics, Research Centre for Agriculture and Environment, Via di Corticella 133, 40128 Bologna, Italy)

  • Fabrizio Ginaldi

    (CREA—AA Council for Agricultural Research and Economics, Research Centre for Agriculture and Environment, Via di Corticella 133, 40128 Bologna, Italy)

  • Davide Fanchini

    (CREA—AA Council for Agricultural Research and Economics, Research Centre for Agriculture and Environment, Via di Corticella 133, 40128 Bologna, Italy)

  • Sebastiano Andrea Corinzia

    (Dipartimento di Agricoltura, Università Degli Studi di Catania, Alimentazione e Ambiente (Di3A), Via Valdisavoia 5, 95123 Catania, Italy)

  • Salvatore Luciano Cosentino

    (Dipartimento di Agricoltura, Università Degli Studi di Catania, Alimentazione e Ambiente (Di3A), Via Valdisavoia 5, 95123 Catania, Italy)

  • Enrico Ceotto

    (CREA—AA Council for Agricultural Research and Economics, Research Centre for Agriculture and Environment, Via di Corticella 133, 40128 Bologna, Italy)

Abstract

Giant reed is a promising perennial grass providing ligno-cellulosic biomass suitable to be cultivated in marginal lands (MLs) and converted into several forms of renewable energy. This study investigates how much energy, in the form of biomethane, bioethanol, and combustible solid, can be obtained by the cultivation of this species in marginal land of two Italian regions, via the spatially explicit application of the Arungro crop model. Arungro was calibrated in both rainfed/well-irrigated systems, under non-limiting conditions for nutrient availability. The model was then linked to a georeferenced database, with data on (i) current/future climate, (ii) agro-management, (iii) soil physics/hydrology, (iv) land marginality, and (v) crop suitability to environment. Simulations were run at 500 × 500 m spatial resolution in MLs of Catania (CT, Southern Italy) and Bologna (BO, Northern Italy) provinces, characterized by contrasting pedo-climates. At field scale, Arungro explained 85% of the year-to-year variability of measured carbon accumulation in aerial biomass. At the provincial level, simulated energy yields progressively increased from bioethanol, to biomethane, and finally to combustible solid, with average values of 92-115-264 GJ ha −1 in BO and 105-133-304 GJ ha −1 in CT. Mean energy yields estimated for 2030 remained unchanged compared to the baseline, although showing large heterogeneity across the study area (changes between −6/+15% in BO and −16/+15% in CT). This study provides site-specific indications on giant reed current productions, energy yields, and natural water consumption, as well as on their future trends and stability, ready-to-use for multiple stakeholders of the agricultural sector involved in bioenergy planning.

Suggested Citation

  • Giovanni Alessandro Cappelli & Fabrizio Ginaldi & Davide Fanchini & Sebastiano Andrea Corinzia & Salvatore Luciano Cosentino & Enrico Ceotto, 2021. "Model-Based Assessment of Giant Reed ( Arundo donax L.) Energy Yield in the Form of Diverse Biofuels in Marginal Areas of Italy," Land, MDPI, vol. 10(6), pages 1-24, May.
  • Handle: RePEc:gam:jlands:v:10:y:2021:i:6:p:548-:d:559113
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    References listed on IDEAS

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