Next Article in Journal
Hybrid Photovoltaic Systems with Accumulation—Support for Electric Vehicle Charging
Next Article in Special Issue
Production of Torrefied Solid Bio-Fuel from Pulp Industry Waste
Previous Article in Journal
Effect of Fuel Injection Strategy on the Carbonaceous Structure Formation and Nanoparticle Emission in a DISI Engine Fuelled with Butanol
Previous Article in Special Issue
Watching the Smoke Rise Up: Thermal Efficiency, Pollutant Emissions and Global Warming Impact of Three Biomass Cookstoves in Ghana
Open AccessArticle

A Computational Tool for Comparative Energy Cost Analysis of Multiple-Crop Production Systems

Department of Agriculture, Forestry and Food Science (DISAFA), University of Turin, Largo Braccini 2, 10095 Grugliasco, Italy
Institute for Research and Technology—Thessaly IRETETH/Centre for Research & Technology Hellas CERTH, Dimitriados Str. 95, GR 38333 Volos, Greece
Author to whom correspondence should be addressed.
Academic Editor: Thomas E. Amidon
Energies 2017, 10(7), 831;
Received: 5 April 2017 / Revised: 29 May 2017 / Accepted: 13 June 2017 / Published: 22 June 2017
(This article belongs to the Collection Bioenergy and Biofuel)
Various crops can be considered as potential bioenergy and biofuel production feedstocks. The selection of the crops to be cultivated for that purpose is based on several factors. For an objective comparison between different crops, a common framework is required to assess their economic or energetic performance. In this paper, a computational tool for the energy cost evaluation of multiple-crop production systems is presented. All the in-field and transport operations are considered, providing a detailed analysis of the energy requirements of the components that contribute to the overall energy consumption. A demonstration scenario is also described. The scenario is based on three selected energy crops, namely Miscanthus, Arundo donax and Switchgrass. The tool can be used as a decision support system for the evaluation of different agronomical practices (such as fertilization and agrochemicals application), machinery systems, and management practices that can be applied in each one of the individual crops within the production system. View Full-Text
Keywords: energy cost; energy balance; efficiency of energy; agriculture energy cost; energy balance; efficiency of energy; agriculture
Show Figures

Figure 1

MDPI and ACS Style

Rodias, E.; Berruto, R.; Bochtis, D.; Busato, P.; Sopegno, A. A Computational Tool for Comparative Energy Cost Analysis of Multiple-Crop Production Systems. Energies 2017, 10, 831.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Search more from Scilit
Back to TopTop