A Spatial Decision Support System Framework for the Evaluation of Biomass Energy Production Locations: Case Study in the Regional Unit of Drama, Greece

Ιωάννου, Κωνσταντίνος; Τsantopoulos, Georgios; Arabatzis, Garyfallos; Andreopoulou, Zacharoula; Zafeiriou, Eleni

doi:10.3390/su10020531

Cited by 45 publications

(21 citation statements)

References 77 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Biomass implies a multitude of resources, such as plant waste, animal waste, food waste, etc. Ioannou et al [123] used MCDM methods in their research to select the location of a biomass power plant. Table 5 provides a summary of the applied MCDM methods for the sub-area of energy.…”

Section: Energymentioning

confidence: 99%

Application of MCDM Methods in Sustainability Engineering: A Literature Review 2008–2018

et al. 2019

View full text Add to dashboard Cite

Sustainability is one of the main challenges of the recent decades. In this regard, several prior studies have used different techniques and approaches for solving this problem in the field of sustainability engineering. Multiple criteria decision making (MCDM) is an important technique that presents a systematic approach for helping decisionmakers in this field. The main goal of this paper is to review the literature concerning the application of MCDM methods in the field of sustainable engineering. The Web of Science (WoS) Core Collection Database was chosen to identify 108 papers in the period of 2008–2018. The selected papers were classified into five categories, including construction and infrastructure, supply chains, transport and logistics, energy, and other. In addition, the articles were classified based on author, year, application area, study objective and problem, applied methods, number of published papers, and name of the journal. The results of this paper show that sustainable engineering is an area that is quite suitable for the use of MCDM. It can be concluded that most of the methods used in sustainable engineering are based on traditional approaches with a noticeable trend towards applying the theory of uncertainty, such as fuzzy, grey, rough, and neutrosophic theory.

show abstract

Section: Energymentioning

confidence: 99%

Application of MCDM Methods in Sustainability Engineering: A Literature Review 2008–2018

et al. 2019

View full text Add to dashboard Cite

show abstract

“…MCDM, using AHP and FAHP integrated with GIS, is a well-known method in agriculture science, especially for land suitability and location selection. For example, Teniwut et al (2018) applied AHP and FAHP approaches with GIS for suitable site selection of a seaweed farming center in the Southeast Maluku district in Indonesia [51], and Ioannou et al (2018) combined MCDM AHP with fuzzy system elements to determine the weight coefficients of the participating criteria to select a site for biomass energy production [52]. MCDM works efficiently in terms of land suitability; for example, Mokarram and Mirsoleimani (2018) applied a fuzzy method and the order weight average (OWA) methods to prepare a fuzzy map of each factor in GIS to determine the land suitability for citrus cultivation [53].…”

Section: Land Suitability Assessmentmentioning

confidence: 99%

Comparison of Cash Crop Suitability Assessment Using Parametric, AHP, and FAHP Methods

Rodcha

Tripathi

Shrestha

2019

Land

View full text Add to dashboard Cite

Cash crops, which include eucalyptus, play an important role in Thailand in wood utilization. Consequently, cash crops have become a significant driving force in land use changes and low crop yield; thus, the development of an accurate cash crop suitability model is needed. The aim of this study is to evaluate the land suitability of cash crops, such as eucalyptus, which is based on Multi Criteria Decision Making (MCDM) in Nakhon Ratchasima Province in Thailand. Parametric, classical Analytical Hierarchy Process (AHP), and fuzzy AHP (FAHP) approaches integrated with Geographic Information Systems (GIS) are compared to accomplish this. Parametric approaches equally allocate importance to all factors. AHP assigns the distribution of important factors using expert opinions. FAHP accounts for the uncertainty in expert opinions, and the triangular (Tri) and trapezoidal (Tra) approaches are compared. The results demonstrated that Trapezoidal Fuzzy AHP (TraFAHP) could classify and map cash crop suitability with 90.16% accuracy, which is a higher overall accuracy than the other approaches that are based on reference map validation. Therefore, we recommend the TraFAHP method for accurately identifying cash crop suitability.

show abstract

“…The usage of energy around the world is constantly rising. This is due to the increase in population and increasing demands of society [1,2]. The major part of energy today energy is obtained from burning fossil fuels.…”

Section: Introductionmentioning

confidence: 99%

Decision Support System for the Production of Miscanthus and Willow Briquettes

Francik

Knapczyk

Knapczyk³

et al. 2020

Energies

View full text Add to dashboard Cite

The biomass is regarded as a part of renewable energy sources (RES), which can satisfy energy demands. Biomass obtained from plantations is characterized by low bulk density, which increases transport and storage costs. Briquetting is a technology that relies on pressing biomass with the aim of obtaining a denser product (briquettes). In the production of solid biofuels, the technological as well as material variables significantly influence the densification process, and as a result influence the end quality of briquette. This process progresses differently for different materials. Therefore, the optimal selection of process’ parameters is very difficult. It is necessary to use a decision support tool—decision support system (DSS). The purpose of the work was to develop a decision support system that would indicate the optimal parameters for conducting the process of producing Miscanthus and willow briquettes (pre-comminution, milling and briquetting), briquette parameters (durability and specific density) and total energy consumption based on process simulation. Artificial neural networks (ANNs) were used to describe the relationship between individual parameters of the briquette production process. DSS has the form of a web application and is opened from a web browser (it is possible to open it on various types of devices). The modular design allows the modification and expansion the application in the future.

show abstract

A Spatial Decision Support System Framework for the Evaluation of Biomass Energy Production Locations: Case Study in the Regional Unit of Drama, Greece

Cited by 45 publications

References 77 publications

Application of MCDM Methods in Sustainability Engineering: A Literature Review 2008–2018

Application of MCDM Methods in Sustainability Engineering: A Literature Review 2008–2018

Comparison of Cash Crop Suitability Assessment Using Parametric, AHP, and FAHP Methods

Decision Support System for the Production of Miscanthus and Willow Briquettes

Contact Info

Product

Resources

About