Assessment of optimal size of anaerobic co-digestion plants: An application to cattle farms in the province of Bari (Italy)

Pantaleo, Antonio; Gennaro, Bernardo De; Shah, Nilay

doi:10.1016/j.rser.2012.11.068

Cited by 85 publications

(35 citation statements)

References 44 publications

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“…As in the cited work, the range of available empirical data is limited (in this case, available data for digesters and internal combustion engines refer to capacities between 50 kW and 1000 kW) and investment costs for plants over the upper bound of the range are obtained by extrapolation. Compared with the cost function by Walla and Schneeberger (2008), cost functions used in the present work lead mostly to higher estimates, which are, however, consistent with other findings from the Italian market (Pantaleo et al, 2013).…”

Section: Figure 5 Data and Interpolations For Plant Cost Estimationsupporting

confidence: 91%

“…A total manure production of 273,000 t/year occurs, deriving mainly from chicken (44%) and cattle breeding (43%). As in similar work (Pantaleo, 2013), only solid animal waste is considered, representing approximately 90% in weight of the overall animal waste, while sewage is neglected due to its low energy density.…”

Section: Substrate Potentials and Biomass Generationmentioning

confidence: 99%

“…Efficiencies and ratios have been derived from the literature (Chinese et al, 2004;Pantaleo et al, 2013), considering the size classes defined in the model, and are reported in Table 5.…”

Section: Technology Options and System Boundariesmentioning

confidence: 99%

“…Similarly, direct labor cost varies in the range of 15,000-80,000 €/year, assuming an average labor cost of 40 k€/person, with two full-time workers operating the larger power plant (more than 1 MW) and part-time workers for smaller power plants. Maintenance costs and insurance costs have been calculated as a proportion of gross electric energy produced using numerical values derived from the literature (Pantaleo, 2013;Walla et al, 2008;Riva et al, 2014) and from interviews with local plant managers. Finally, with regard to digestate management activities, transport costs are obtained for a tank wagon (with an average capacity of 20,000 liters) in which digestate is loaded and transported in the fields.…”

Section: Figure 5 Data and Interpolations For Plant Cost Estimationmentioning

confidence: 99%

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Effects of changes in Italian bioenergy promotion schemes for agricultural biogas projects: Insights from a regional optimization model

2014

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Effects of changes in Italian bioenergy promotion schemes for agricultural biogas projects: Insights from a regional optimization model / Chinese, D.; Patrizio, P. .; Nardin G.. -In: ENERGY POLICY. -ISSN 0301-4215. -75(2014), pp. 189-205. OriginalEffects of changes in Italian bioenergy promotion schemes for agricultural biogas projects: Insights from a regional optimization model The institutional repository of the University of Udine (http://air.uniud.it) is provided by ARIC services. The aim is to enable open access to all the world. Availability:This is the peer reviewd version of the followng article:

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Section: Figure 5 Data and Interpolations For Plant Cost Estimationsupporting

confidence: 91%

Section: Substrate Potentials and Biomass Generationmentioning

confidence: 99%

“…Efficiencies and ratios have been derived from the literature (Chinese et al, 2004;Pantaleo et al, 2013), considering the size classes defined in the model, and are reported in Table 5.…”

Section: Technology Options and System Boundariesmentioning

confidence: 99%

Section: Figure 5 Data and Interpolations For Plant Cost Estimationmentioning

confidence: 99%

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Effects of changes in Italian bioenergy promotion schemes for agricultural biogas projects: Insights from a regional optimization model

2014

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“…This latter is regulated at the national level, with emphasis most often on protection of water resources rather than on produce safety. Anaerobic digestion of animal effluents, usually co-digested with other wastes, produces biogas and is encouraged in many countries, by financial incentives to farmers, as a source of renewable energy (Igliński et al, 2012;Pantaleo et al, 2013). Anaerobically digested manure is likely to increase, with a main end-use as land fertilizer.…”

Section: Soil Management and Microbial Safety Of Fresh Producementioning

confidence: 99%

Agrifood systems and the microbial safety of fresh produce: Trade-offs in the wake of increased sustainability

Nguyen-Thé

Bardin²,

Bérard

et al. 2016

Science of The Total Environment

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(2016). Agrifood systems and the microbial safety of fresh produce: trade-offs in the wake of increased sustainability.Science of the Total Environment, 562, 751-759. H I G H L I G H T S• Measures taken to improve safety were assessed for their impact on sustainability.• Fresh produce safety improvements may come at the expense of sustainability.• Environment, food security and human health constituted the three domains of sustainability.• Measures to improve safety should be adapted to each agrifood system. Fresh produce has been a growing cause of food borne outbreaks world-wide prompting the need for safer production practices. Yet fresh produce agrifood systems are diverse and under constraints for more sustainability. We analyze how measures taken to guarantee safety interact with other objectives for sustainability, in light of the diversity of fresh produce agrifood systems. The review is based on the publications at the interface between fresh produce safety and sustainability, with sustainability defined by low environmental impacts, food and nutrition security and healthy life. The paths for more sustainable fresh produce are diverse. They include an increased use of ecosystem services to e.g. favor predators of pests, or to reduce impact of floods, to reduce soil erosion, or to purify run-off waters. In contrast, they also include production systems isolated from the environment. From a socio-economical view, sustainability may imply maintaining small tenures with a higher risk of pathogen contamination. We analyzed the consequences for produce safety by focusing on risks of contamination by water, soil, environment and live stocks. Climate change may increase the constraints and recent knowledge on interactions between produce and human pathogens may bring new solutions. Existing technologies may suffice to resolve some conflicts between ensuring safety of fresh produce and moving towards more sustainability. However, socio-economic constraints of some agri-food systems may prevent their implementation. In addition, current strategies to preserve produce safety are not adapted to systems relying on ecological principles and knowledge is lacking to develop the new risk management approaches that would be needed. G R A P H I C A L A B S T R A C T a b s t r a c t a r t i c l e i n f o

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Learning rates and their impacts on the optimal capacities and production costs of biorefineries

Daugaard

Mutti

Wright

et al. 2014

Biofuels Bioprod Bioref

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Industry statistics indicate that technology‐learning rates can dramatically reduce both feedstock and biofuel production costs. Both the Brazilian sugarcane ethanol and the United States corn ethanol industries exhibit drastic historical cost reductions that can be attributed to learning factors. Thus, the purpose of this paper is to estimate the potential impact of industry learning rates on the emerging advanced biofuel industry in the United States. Results from this study indicate that increasing biorefinery capital and feedstock learning rates could significantly reduce the optimal size and production costs of biorefineries. This analysis compares predictions of learning‐based economies of scale, S‐Curve, and Stanford‐B models. The Stanford‐B model predicts biofuel cost reductions of 55 to 73% compared to base case estimates. For example, optimal costs for Fischer‐Tropsch diesel decrease from $4.42/gallon to $2.00/gallon. The optimal capacities range from small‐scale (grain ethanol and fast pyrolysis) producing 16 million gallons per year to large‐scale gasification facilities with 210 million gallons per year capacity. Sensitivity analysis shows that improving capital and feedstock delivery learning rates has a stronger impact on reducing costs than increasing industry experience suggesting that there is an economic incentive to invest in strategies that increase the learning rate for advanced biofuel production. © 2014 Society of Chemical Industry and John Wiley & Sons, Ltd

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Assessment of optimal size of anaerobic co-digestion plants: An application to cattle farms in the province of Bari (Italy)

Cited by 85 publications

References 44 publications

Effects of changes in Italian bioenergy promotion schemes for agricultural biogas projects: Insights from a regional optimization model

Effects of changes in Italian bioenergy promotion schemes for agricultural biogas projects: Insights from a regional optimization model

Agrifood systems and the microbial safety of fresh produce: Trade-offs in the wake of increased sustainability

Learning rates and their impacts on the optimal capacities and production costs of biorefineries

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