Quantifying the Impact of Feedstock Quality on the Design of Bioenergy Supply Chain Networks

Castillo-Villar, Krystel K.; Minor-Popocatl, Hertwin; Webb, Erin

doi:10.3390/en9030203

Cited by 16 publications

(11 citation statements)

References 27 publications

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“…The use of multicriteria models for ranking regions is also very common in the literature [18,19]. On the other hand, many methodologies have been successfully applied for the biomass production in farm level such as Haas et al [20], Brentrup et al [21], Pulighe et al [22], Neri et al [23], Blengini and Busto [24], Yu and Tao [25], Castillo-Villar et al [26] and Fedele et al [27].…”

Section: Multicriteria Methods For Biomass Productionmentioning

confidence: 99%

Biomass Production from Crops Residues: Ranking of Agro-Energy Regions

Moulogianni¹,

Bournaris²

2017

Energies

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Abstract:The aim of the paper is to rank the agro-energy regions according to their potentials of biomass production in the Region of Central Macedonia (RCM). For this reason, a model of Multi-Criteria Analysis (MCDA) is developed with the ELimination and Et Choix Traduisant la REalite (ELECTRE) III method, with the construction of outranking relations. The aim is to compare in a comprehensive way each pair of action, in our case the agro-energy regions of the RCM, in order to satisfy the main goal which is to rank the seven regions as regards their biomass production. The final goal is to select the optimal crop plan as a pilot case for biomass production in the region. In the case of ELECTRE III multicriteria model, we used several conflicting criteria such as the farm income, the biomass production from crop residues, the variable costs, and the production of thermal energy and electrical energy. Alongside a technical and economic analysis of the study area is conducted for the existent crop plans of each agro-energy region. The results show that agro-energy regions with cereals and arable crops have better results than regions with fruit trees and other crops.

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Section: Multicriteria Methods For Biomass Productionmentioning

confidence: 99%

Biomass Production from Crops Residues: Ranking of Agro-Energy Regions

Moulogianni¹,

Bournaris²

2017

Energies

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“…Quantifying the impact of feedstock quality on the design of bioenergy supply chain networks Castillo-Villar, Minor-Popocatl, and Webb [24] Present a mixed-integer quadratically constrained programming model that minimizes the bioethanol SC, considering quality related costs. Feedstock: Logging residues.…”

Section: Discrete Event Simulation (Simevents)mentioning

confidence: 99%

“…Other papers such as Larasati et al [17] explain the dynamics between competing performance measures, such as the trade-off between switchgrass transportation cost and the economic scale of cellulosic ethanol production. Castillo-Villar et al [24] use a QP model that merges the total cost of transportation, total cost of the harvest processes, cost for opening a collection of facilities, cost for opening a collection of biorefineries, mechanical drying cost, ash disposal cost, screening cost, grinding cost, and a penalty cost for reduced oil yield due to high ash content into a single cost function to be minimized.…”

Section: Discrete Event Simulation √mentioning

confidence: 99%

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Development of the IBSAL-SimMOpt Method for the Optimization of Quality in a Corn Stover Supply Chain

2017

Self Cite

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Abstract:Variability on the physical characteristics of feedstock has a relevant effect on the reactor's reliability and operating cost. Most of the models developed to optimize biomass supply chains have failed to quantify the effect of biomass quality and preprocessing operations required to meet biomass specifications on overall cost and performance. The Integrated Biomass Supply Analysis and Logistics (IBSAL) model estimates the harvesting, collection, transportation, and storage cost while considering the stochastic behavior of the field-to-biorefinery supply chain. This paper proposes an IBSAL-SimMOpt (Simulation-based Multi-Objective Optimization) method for optimizing the biomass quality and costs associated with the efforts needed to meet conversion technology specifications. The method is developed in two phases. For the first phase, a SimMOpt tool that interacts with the extended IBSAL is developed. For the second phase, the baseline IBSAL model is extended so that the cost for meeting and/or penalization for failing in meeting specifications are considered. The IBSAL-SimMOpt method is designed to optimize quality characteristics of biomass, cost related to activities intended to improve the quality of feedstock, and the penalization cost. A case study based on 1916 farms in Ontario, Canada is considered for testing the proposed method. Analysis of the results demonstrates that this method is able to find a high-quality set of non-dominated solutions.

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“…For example, different distances between the field and the storage/processing facilities, variations in the machinery systems, and material input dosages can lead to different energy input requirements for each individual field. Although the outcomes of estimating task times based on average norms are useful for providing a general picture that can be valuable for strategic planning decisions, the task of designing a specific production system (e.g., a bioenergy plant and the allocated field area around the plant) require tools that provide individualized results [11,12]. To that effect, in this paper a computational tool is presented for the estimation of the energy requirements of Miscanthus on individual fields and including a detailed analysis and accounting of the involved in-field and transport operations.…”

Section: System Boundarymentioning

confidence: 99%

Model for Energy Analysis of Miscanthus Production and Transportation

et al. 2016

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A computational tool is developed for the estimation of the energy requirements of Miscanthus x giganteus on individual fields that includes a detailed analysis and account of the involved in-field and transport operations. The tool takes into account all the individual involved in-field and transport operations and provides a detailed analysis on the energy requirements of the components that contribute to the energy input. A basic scenario was implemented to demonstrate the capabilities of the tool. Specifically, the variability of the energy requirements as a function of field area and field-storage distance changes was shown. The field-storage distance highly affects the energy requirements resulting in a variation in the efficiency if energy (output/input ratio) from 15.8 up to 23.7 for the targeted cases. Not only the field-distance highly affects the energy requirements but also the biomass transportation system. Based on the presented example, different transportation systems adhering to the same configuration of the production system creates variation in the efficiency of energy (EoE) between 12.9 and 17.5. The presented tool provides individualized results that can be used for the processes of designing or evaluating a specific production system since the outcomes are not based on average norms.

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Quantifying the Impact of Feedstock Quality on the Design of Bioenergy Supply Chain Networks

Cited by 16 publications

References 27 publications

Biomass Production from Crops Residues: Ranking of Agro-Energy Regions

Biomass Production from Crops Residues: Ranking of Agro-Energy Regions

Development of the IBSAL-SimMOpt Method for the Optimization of Quality in a Corn Stover Supply Chain

Model for Energy Analysis of Miscanthus Production and Transportation

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