The Fuzzy WOD Model with Application to Biogas Plant Location

Franco, Camilo A.; Bojesen, Mikkel; Hougaard, Jens Leth; Nielsen, Kurt

doi:10.1007/978-3-319-01854-6_15

Cited by 3 publications

(4 citation statements)

References 18 publications

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“…There, green and yellow areas respectively refer to suitable and possibly suitable zones, while red and orange areas respectively refer to rejectable and possibly rejectable zones. Focusing on the planning interval degrees in Table 4, it can be seen that planning rejectability is not necessarily the complement of suitability, where the respective negative information of one planning degree does not imply the positive information of the other [10]. Hence, both degrees offer distinct and important information on the municipality's planning situation towards building biogas plants.…”

Section: Biogas Plant Locationmentioning

confidence: 93%

“…3 shows the best sites and their relation to transport economic optimal zones and slurry production potential, where the concentric lines represent the distance to the pair of optimal zones and the green to red colored areas represent the different levels of slurry production potential. In this way, each area respectively agrees with a potential production of [0,5], (5,10], (10,15], (15,20], up to the red area with a potential of (20,25] million m 3 of methane. It can be seen that these criteria have a high impact on the final results for the selected alternatives (as it could be expected from their estimated values in Table 3), where a strong clustering tendency exists around the economic optimal zone with greater production potential (17 of the 20 most preferred alternatives are located within an area of 60 km 2 ).…”

Section: Biogas Plant Locationmentioning

confidence: 94%

“…In this paper a new methodology is introduced for treating imprecise geographical measurements and multiple criteria under a common analytic framework (following the initial approach presented in [10]). Such measurements are gathered by means the Geographical Information System (GIS), and the aggregation and exploitation of the available information is done using the Fuzzy Weighted Overlap Dominance (FWOD) model [11,12].…”

Section: Introductionmentioning

confidence: 99%

“…Here we refer to imprecision in order to deal with the uncertain quality of information [10,11]. Under this perspective, imprecision is a primary attribute of common measurements, taking the form of a unique value if it is precise, or of an interval set of values if it is imprecise.…”

Section: Introductionmentioning

confidence: 99%

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A fuzzy approach to a multiple criteria and Geographical Information System for decision support on suitable locations for biogas plants

et al. 2015

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h i g h l i g h t sWe propose the GAF decision support methodology for optimal site selection. The GAF methodology builds decision support from multi-dimensional imprecise data. We present a real-case application for biogas facilities at Ringkøbing-Skjern, Denmark. a b s t r a c tThe purpose of this paper is to model the multi-criteria decision problem of identifying the most suitable facility locations for biogas plants under an integrated decision support methodology. Here the Geographical Information System (GIS) is used for measuring the attributes of the alternatives according to a given set of criteria. Measurements are taken in interval form, expressing the natural imprecision of common data, and the Fuzzy Weighted Overlap Dominance (FWOD) procedure is applied for aggregating and exploiting this kind of data, obtaining suitability degrees for every alternative. The estimation of criteria weights, which is necessary for applying the FWOD procedure, is done by means of the Analytical Hierarchy Process (AHP), used jointly with the LLSM-AHP for the estimation of upper and lower bounds for the weights. Then, a combined AHP-FWOD methodology allows identifying the more suitable sites for building biogas plants. We show that the FWOD relevance-ranking procedure can also be successfully applied over the outcomes of different decision makers, in case a unique social solution is required to exist.The proposed methodology can be used under an integrated decision support frame for identifying the most suitable locations for biogas facilities, taking into account the most relevant criteria for the social, economic and political dimensions.

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Section: Biogas Plant Locationmentioning

confidence: 93%

Section: Biogas Plant Locationmentioning

confidence: 94%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A fuzzy approach to a multiple criteria and Geographical Information System for decision support on suitable locations for biogas plants

et al. 2015

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Modeling and optimization of a supply chain of renewable biomass and biogas: Processing plant location

Sarker

Paudel

2019

Applied Energy

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A Flexible Robust Possibilistic Programming Approach for Sustainable Second-Generation Biogas Supply Chain Design under Multiple Uncertainties

Kanan

Habib

et al. 2022

Sustainability

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The goal of this research is to develop a novel second-generation-based biogas supply chain network design (BG-SCND) model that takes into account the triple bottom line approach. Biogas is a promising renewable energy source that can be obtained from a variety of easily accessible second-generation wastes, including animal manure, municipal waste, and agricultural leftovers. Integrated optimization of the biogas generation system is essential for a speedy and environmentally friendly transition to sustainable biodiesel production. The dynamic environment of the energy market significantly impairs the decisions of the BG-SCND model; therefore, a hybrid solution approach using flexible programming and possibilistic programming is suggested. To verify the suggested model and approach for solving the problem, a thorough computational analysis of a case study is conducted. The case study findings demonstrate that considerable investment is necessary to attain social and environmental well-being goals and safeguard decisions against epistemic uncertainty. Policymakers involved in the planning of biogas production and distribution projects may find the proposed approach useful.

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The Fuzzy WOD Model with Application to Biogas Plant Location

Cited by 3 publications

References 18 publications

A fuzzy approach to a multiple criteria and Geographical Information System for decision support on suitable locations for biogas plants

A fuzzy approach to a multiple criteria and Geographical Information System for decision support on suitable locations for biogas plants

Modeling and optimization of a supply chain of renewable biomass and biogas: Processing plant location

A Flexible Robust Possibilistic Programming Approach for Sustainable Second-Generation Biogas Supply Chain Design under Multiple Uncertainties

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