Modeling power and workforce demand in French field agriculture highlights variability, fleet redundancy, and magnitude comparable to renewable electricity generation

IF 8.2 Q1 ENERGY & FUELS
Energy nexus Pub Date : 2026-03-01 Epub Date: 2026-02-09 DOI:10.1016/j.nexus.2026.100654
Cyprien Drommi, Petros Chatzimpiros
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引用次数: 0

Abstract

Mechanized agriculture relies heavily on fossil fuels for field operations, while facing decarbonization and environmental sustainability challenges. Phasing out fossil fuels requires alternative energy supply that can provide sufficient power to perform field tasks. However, the variability of agricultural power demand remains unexplored, yet it is crucial for anticipating energy transition to renewable flows. Here, we fill this gap by modeling on-field power demand distribution over a full cropping season based on production practices from public surveys and using national-scale French agriculture as a case study. Results show high variability in power demand, ranging from below 5 to above 12 GW during autumn tillage. Compared to total installed engine power, the load factor of tractors and combine-harvesters peaks at about 18 % and 23 % respectively. This indicates substantial fleet redundancy, which is in part necessary to accommodate unpredictability in field working conditions. By assessing scenarios of agroecological practices, we show that no-till practices help reduce peak power demand, whereas organic practices result in a marginal power demand increase. In parallel, we assess workforce requirement for field driving of machinery. This requirement peaks simultaneously with power demand at one-third of total workers and accounts for 12 % of annual working time in agriculture. Our findings highlight trade-offs between farming system organization, practices and on-field power demand, revealing that the latter is currently comparable in scale to renewable (wind and solar) power generation in France. The results underscore the need to integrate power demand analysis of fossil-fueled activities into energy transition policies and planning.
法国田间农业的电力和劳动力需求建模突出了可变性、机队冗余和可再生能源发电的规模
机械化农业严重依赖化石燃料进行田间作业,同时面临着脱碳和环境可持续性的挑战。逐步淘汰化石燃料需要替代能源供应,以提供足够的电力来执行现场任务。然而,农业电力需求的可变性仍未得到探索,但它对于预测能源向可再生能源的过渡至关重要。在这里,我们根据公众调查的生产实践,并以法国全国范围的农业为例,通过对整个种植季节的田间电力需求分布进行建模,填补了这一空白。结果表明,秋耕期间的电力需求变化很大,从低于5吉瓦到高于12吉瓦不等。与总装发动机功率相比,拖拉机和联合收割机的负载系数峰值分别约为18%和23%。这表明大量的船队冗余,这在一定程度上是为了适应现场工作条件的不可预测性。通过评估农业生态实践的情景,我们发现免耕实践有助于降低峰值电力需求,而有机实践导致边际电力需求增加。同时,我们评估了机械现场驾驶的劳动力需求。这一需求与电力需求同时达到峰值,占总工人的三分之一,占农业年工作时间的12%。我们的研究结果强调了农业系统组织、实践和现场电力需求之间的权衡,揭示了后者目前在规模上与法国的可再生能源(风能和太阳能)发电相当。研究结果强调了将化石燃料活动的电力需求分析纳入能源转型政策和规划的必要性。
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来源期刊
Energy nexus
Energy nexus Energy (General), Ecological Modelling, Renewable Energy, Sustainability and the Environment, Water Science and Technology, Agricultural and Biological Sciences (General)
CiteScore
7.70
自引率
0.00%
发文量
0
审稿时长
109 days
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