Imperial College London
Dr Sara Giarola

DrSaraGiarola

Faculty of Engineering, Department of Chemical Engineering

Honorary Research Fellow
 
 
 
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Contact

 

s.giarola10

 
 
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Location

 

14-15 Princes GardensSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{García:2020:10.3390/en13246636,
author = {García, Kerdan I and Giarola, S and Skinner, E and Tuleu, M and Hawkes, A},
doi = {10.3390/en13246636},
journal = {Energies},
pages = {6636--6636},
title = {Modelling future agricultural mechanisation of major crops in China: an assessment of energy demand, land use and emissions},
url = {http://dx.doi.org/10.3390/en13246636},
volume = {13},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Agricultural direct energy use is responsible for about 1–2% of global emissions and is the major emitting sector for methane (2.9 GtCO2eq y−1) and nitrous oxide (2.3 GtCO2eq y−1). In the last century, farm mechanisation has brought higher productivity levels and lower land demands at the expense of an increase in fossil energy and agrochemicals use. The expected increase in certain food and bioenergy crops and the uncertain mitigation options available for non-CO2 emissions make of vital importance the assessment of the use of energy and the related emissions attributable to this sector. The aim of this paper is to present a simulation framework able to forecast energy demand, technological diffusion, required investment and land use change of specific agricultural crops. MUSE-Ag & LU, a novel energy systems-oriented agricultural and land use model, has been used for this purpose. As case study, four main crops (maize, soybean, wheat and rice) have been modelled in mainland China. Besides conventional direct energy use, the model considers inputs such as fertiliser and labour demand. Outputs suggest that the modernisation of agricultural processes in China could have the capacity to reduce by 2050 on-farm emissions intensity from 0.024 to 0.016 GtCO2eq PJcrop−1 (−35.6%), requiring a necessary total investment of approximately 319.4 billion 2017$US.
AU  - García,Kerdan I
AU  - Giarola,S
AU  - Skinner,E
AU  - Tuleu,M
AU  - Hawkes,A
DO  - 10.3390/en13246636
EP  - 6636
PY  - 2020///
SN  - 1996-1073
SP  - 6636
TI  - Modelling future agricultural mechanisation of major crops in China: an assessment of energy demand, land use and emissions
T2  - Energies
UR  - http://dx.doi.org/10.3390/en13246636
UR  - https://www.mdpi.com/1996-1073/13/24/6636
UR  - http://hdl.handle.net/10044/1/85796
VL  - 13
ER  -
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