Forest biomass power plant installation scenarios

Teixeira, Tiago; Ribeiro, Carlos Antônio Álvares Soares; Santos, Alexandre Rosa dos; Marcatti, Gustavo Eduardo; Lorenzon, Alexandre Simões; Castro, Nero Lemos Martins de; Domingues, Getúlio Fonseca; Leite, Hélio Garcia; Menezes, Sady Júnior Martins da Costa de; Mota, Pedro Henrique Santos; Telles, Lucas Arthur de Almeida; Vieira, Renato da Silva

doi:10.1016/j.biombioe.2017.10.006

Cited by 54 publications

(34 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A number of studies use geographical information systems, developing localization models for the establishment of biomass industries (Zhang et al, 2011;Sultana and Kumar, 2012;Costa, 2014;Teixeira et al, 2018). Serra and Marianov (1998) formulated the p-median problem for the location of new facilities in the case of uncertain demand, in terms of time or the distance of trips, where it is possible to define scenarios that represent differences in travel times or demand in the region of interest.…”

Section: Discussionmentioning

confidence: 99%

Using the p-median location model to set up aerodromes for coverage fertilization of eucalyptus plantations

Fardin¹,

Leite²,

Binoti³

et al. 2018

Afr. J. Agric. Res.

View full text Add to dashboard Cite

In this study an economic analysis was conducted to evaluate problem associated with a geographical information system (GIS) using facility location models for the p-median in order to optimize the location of aerodromes for the aerial fertilization (coverage fertilization) of eucalyptus plantations. The location model was tested on a 9,095.65 ha farm located in the Três Lagoas municipality in the Mato Grosso do Sul State, in Brazil. The non-capacitated p-median location model, available in ArcGIS, was evaluated in the location-allocation module. Simulations were performed based on one to five aerodromes. The fertilization and setup costs were calculated for each scenario. The results showed that the p-median location model was efficient in determining the optimal location of aerodromes. The economic analysis of the location model found that the lowest costs are incurred when using three aerodromes.

show abstract

Section: Discussionmentioning

confidence: 99%

Using the p-median location model to set up aerodromes for coverage fertilization of eucalyptus plantations

Fardin¹,

Leite²,

Binoti³

et al. 2018

Afr. J. Agric. Res.

View full text Add to dashboard Cite

show abstract

“…The solver combines an origin‐destination (OD) cost matrix that uses Dijkstra's algorithm, semi‐randomized initial solutions, a vertex substitution heuristic, and a refining metaheuristic that gives near‐optimal results . Other publications use a similar method to locate biomass facilities …”

Section: Materials Method and Applicationmentioning

confidence: 99%

“…The problem‐type used in this paper is the ‘maximize capacitated coverage’ that considers the maximum capacity supply for a provided number of facilities that cover demand within impedance cutoffs (limit of transportation travel time) . The selected locations of biomass depot allow minimizing the overall sum of the weighted impedance with an added constraint of capacity.…”

Section: Materials Method and Applicationmentioning

confidence: 99%

GIS method to design and assess the transportation performance of a decentralized biorefinery supply system and comparison with a centralized system: case study in southern Quebec, Canada

Lemire

Delcroix

Audy

et al. 2019

Biofuels Bioprod Bioref

View full text Add to dashboard Cite

A decentralized supply chain that integrates biomass depots as an intermediate pre‐processing hub may be an efficient way to obtain stable and dense non‐food carbohydrate commodities that are economically transportable over long distances. This paper presents an integrated geographic information systems (GIS) method based on transport optimization to design and compare the performance of a decentralized versus a centralized biorefinery supply system. The method determines the suitable locations, allocations, sizing, and number of depots according to different demand location scenarios. The method is exemplified by a real case study in southern Quebec. In the design, the biomass depot generates raw sugar, shipped to the biorefinery, and co‐products that are used on site without transportation as animal feed and bioenergy. This diversification strategy provided by a joint production permits savings amounting to two‐thirds of the tonnage on the second transportation arc. The results present the average travel time performance in minutes in different scenarios. In the centralized configuration, the optimized stand‐alone biorefinery location scenario is 45% (59 min) and 58% (100 min) more efficient in terms of transportation than the two biorefineries located in existing industrial parks. However, the latter have a decentralized configuration that is more efficient than their centralized equivalents. In the decentralized configuration, depending on farmer participation, the biorefineries located in the existing industrial park have a transportation performance 16–42% (27–55 min) that is more efficient than their respective centralized configuration. Smaller depots and the use of numerous depots tend to reduce the average impedance as biomass availability increases. This is due to the economies of transportation related to a denser and more meshed network. © 2019 Society of Chemical Industry and John Wiley & Sons, Ltd

show abstract

“…To do so we use the remaining spatial data layers. Distance from power facilities to specific geographic objects or locations gives information on related costs [46]. For instance, distance to the grid or to substations is convertible into connection costs and distance to the road into accessibility costs.…”

Section: Adding Quantifiable Features To the Plotsmentioning

confidence: 99%

An integrated GIS and robust optimization framework for solar PV plant planning scenarios at utility scale

et al. 2020

View full text Add to dashboard Cite

Today, the overall goal of energy transition planning is to seek an optimal strategy for increasing the share of renewable sources in existing power networks, such that the growing power demand is satisfied at manageable short/long term investment. In this paper we address the problem of PV penetration in electricity networks, by considering both 1) the spatial issue of site selection and size, and 2) the temporal aspect of hourly load and demand satisfaction, in addition with the investment and maintenance costs to guarantee a viable and reliable solution. We propose to address this spatio-temporal optimization problem through an integrated GIS and robust optimization model, that allows handling of the ubiquitous dependencies between resource and demand time variability and the selection of optimal sites of renewable power generation. Our approach contributes to the integration of the multi-dimensional and combinatorial aspects of this problem, gathering geographical layers (regional or national scale) and temporal packing (hourly time stamp) constraints, and cost functions. This model computes the optimal geographical location and size of PV facilities allowing energy planning targets to be met at minimal cost in a reliable manner. In this paper, we illustrate our approach by studying the penetration of large-scale solar PV in the French Guiana's power system. Among the results, we show for instance that: 1) our approach performs geographical aggregation with real contextual data, i.e. balances the intermittency of RE sources by spreading out the corresponding installations (location + size) across the territory; 2) the total installed PV capacity can be doubled by removing the 35 % penetration limit on intermittent power without exceeding hourly demand; 3) the safest investment scenario is below 30 MW of new PV facilities (≈ 45 Me and 2 plants), though it is theoretically possible to install up to 45 MW (>120 Me and 11 plants). Nomenclature B iBoolean variable equal to 1 if site PS i is selected, 0 otherwise Ccap i Capital cost for implementation of a new PV power plant (e) Ccon i Connection cost for each new PV plant, transmission lines and substation (e) Clan Transmission line unit cost (e/m) Cop i Annual fixed operational cost per new PV plant (e) Csta Substation power unit cost (e/kW) Csta i Capital cost for new substation (e) Dem h Estimated hourly power demand (kWh) Dg i Minimum distance from the grid to the centroid of a candidate (m) Eint h Current hourly production from intermittent sources (kWh) * Corresponding author Email addresses: benjamin.pillot@ird.fr (Benjamin Pillot), nadeem.alkurdi@ird.fr (Nadeem Al-Kurdi), carmen.gervet@umontpellier.fr (Carmen Gervet), laurent.linguet@univ-guyane.fr (Laurent Linguet)

show abstract

Forest biomass power plant installation scenarios

Cited by 54 publications

References 32 publications

Using the p-median location model to set up aerodromes for coverage fertilization of eucalyptus plantations

Using the p-median location model to set up aerodromes for coverage fertilization of eucalyptus plantations

GIS method to design and assess the transportation performance of a decentralized biorefinery supply system and comparison with a centralized system: case study in southern Quebec, Canada

An integrated GIS and robust optimization framework for solar PV plant planning scenarios at utility scale

Contact Info

Product

Resources

About