Site Selection of Offshore Solar Farm Deployment in the Aegean Sea, Greece

Vagiona, Dimitra; Tzekakis, George; Loukogeorgaki, Eva; Καρανικόλας, Νικόλαος

doi:10.3390/jmse10020224

Cited by 20 publications

(8 citation statements)

References 56 publications

(72 reference statements)

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“…The methods used in different studies are presented in Table A1 of the Appendix. They include Analytic Hierarchy Process (AHP), Fuzzy Analytical Hierarchy Method (FAHP), Fuzzy‐Boolean logic, Analytical Network Process (ANP), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Preference Ranking Organisation Method for Enrichment of Evaluations (PROMETHEE), Elimination, Choice Translating Reality (ELECTRE), Entropy Weighted Method (EWM), Best Worst Model (BWM), Step‐wise Weight Assessment Ratio Analysis (SWARA), Ordered Weighted Averaging (OWA) and Optimal Site Definition Model (ODM) [2, 4, 7–15].…”

Section: Methodsmentioning

confidence: 99%

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An approach for selecting optimal locations for electric vehicle solar charging stations

2023

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Electric vehicles (EVs) are seen as a solution to reduce transport-related greenhouse gas emissions. A major obstacle to wider adoption is the insufficient amount of charging stations. Furthermore, supplying charging stations with renewable energy is still in its infancy. The selection of optimal locations for charging stations is important to best serve the users and maximise the possibilities of renewable energy use. Given this background, this study developed an approach for Solar-supplied Electric Vehicle Charging Station (EVCS) location selection by combining EVCS and solar farm site selection studies using Geographical Information System (GIS) and Analytic Hierarchy Process (AHP). The study determined the most important criteria for site selection based on previous solar and EVCS site selection studies and expert opinions. The 10 most important criteria according to the survey results were: availability of power, solar energy potential, solar panel installation cost, number of EVs, operation and management costs, land cost, distance from roads/highways, distance from current EVCSs, industrial capability of installation and distance to high population density centres. The importance weights of these criteria were assigned using AHP method. The findings are expected to benefit urban planners, decision-makers, and researchers designing solar-supplied EV charging infrastructure.

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Section: Methodsmentioning

confidence: 99%

“…Multi-Criteria Decision-Making (MCDM) methods provide a structured and systematic approach to handle conflicting criteria and make informed decisions. The literature review identified 33 [2,4,[7][8][9][10][11][12][13][14][15].…”

Section: Multi-criteria Decision-making Methodsmentioning

confidence: 99%

An approach for selecting optimal locations for electric vehicle solar charging stations

2023

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“…In the sequence, a running case study is employed to highlight some of the issues involved. To avoid using proprietary information from Archirodon, and to alleviate possible concerns about a conveniently designed example, the case study is based on publicly available data for a specific problem of designing an offshore solar farm installation 26 . All data generated or analyzed during this study are included in the body of this paper.…”

Section: Mcda—the View From the Fieldmentioning

confidence: 99%

“…The case study involves the problem of site selection of an offshore solar farm deployment in the Aegean Sea, Greece 26 . There were nine candidate locations (MA1 ÷ MA9) and seven assessment criteria (AC1 ÷ AC7) as outlined in Table 1 .…”

Section: Offshore Wind Farm Installation—a Case Studymentioning

confidence: 99%

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An intelligent methodology for the use of multi-criteria decision analysis in impact assessment: the case of real-world offshore construction

Tsakalerou

Efthymiadis

Abilez

2022

Sci Rep

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Impact assessment of large-scale projects involves a plethora of technical, economic, social, and environmental factors that must be assessed along with the expectations of the stakeholders of each project. While impact assessment is required for a development project to receive regulatory approval to proceed, it is also an invaluable tool during the design phase of complex projects, providing for informed decision-making. Molding multiple perspectives of diverse stakeholders into a single collective choice is a key challenge in the process. Multi-Criteria Decision Analysis (MCDA) is the methodology used to rank a finite number of decision options based on a finite set of evaluation criteria. Different MCDA techniques, however, may lead to different decisions when applied to the same problem while different sets of criteria and weights may rank choices differently even when the same method is applied. This is a cause of concern, and even acrimony, amongst the stakeholders, often leading to protracted periods of negotiation and delaying project launching. The objective of this paper is to present an intelligent system to ameliorate the effects of the inherent subjectivity in MCDA techniques and to develop a consensus amongst the stakeholders in a data-driven setting. A case study from the field of offshore construction is used as a running example. This case study, informed by real-world experience in the field, demonstrates succinctly the issues involved and illustrates clearly the proposed intelligent methodology and its merits.

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Multicriteria Spatial Economic Decision Support Systems to Support Positive Energy Districts: A Literature Review

Bisello,

Bottero,

Volpatti

et al. 2023

Green Energy and Technology

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To meet the ambitious targets set by the European Union to reduce CO2 emissions, action in cities is essential. In fact, cities are responsible for 67% of the world's primary energy consumption and about 70% of energy-related CO2 emissions. To support the urban energy transition, widespread implementation of net-zero districts, or even better, positive energy districts (PEDs), is expected. PEDs could be defined as energy efficient and energy flexible urban areas that aim to provide a surplus of clean energy to the city through renewable energy. However, the development of the PED concept needs to take into account not only the technical issue of energy systems, but also the environmental, social, and economic aspects. To be effective, it is important to provide decision makers with tools based on a Multi-Criteria Decision Analysis (MCDA) approach that can effectively assess the complexity of impacts from a multi-stakeholder perspective. The MCDA approach can be supported by a Geographic Information System (GIS) that helps to analyze the data and make it communicable to everyone. The purpose of this research, through a scientific literature review, is to investigate different MCDA supported by GIS in the framework of economic evaluation methods, aiming to contribute to the definition of an effective multi-criteria spatial economic decision making method to support and sustain the design and development of PEDs.

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Site Selection of Offshore Solar Farm Deployment in the Aegean Sea, Greece

Cited by 20 publications

References 56 publications

An approach for selecting optimal locations for electric vehicle solar charging stations

An approach for selecting optimal locations for electric vehicle solar charging stations

An intelligent methodology for the use of multi-criteria decision analysis in impact assessment: the case of real-world offshore construction

Multicriteria Spatial Economic Decision Support Systems to Support Positive Energy Districts: A Literature Review

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