Potential zones identification for harvesting wind energy resources in desert region of India – A multi criteria evaluation approach using remote sensing and GIS

Jangid, Jayant; Bera, Apurba Kumar; Joseph, Manoj; Singh, Vishal; Singh, T. P.; Pradhan, Biswajeet; Das, Sandipan

doi:10.1016/j.rser.2016.06.078

Cited by 80 publications

(27 citation statements)

References 31 publications

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“…To inform parameters and criteria selection for each step of the analysis, we conducted a literature review of studies on the mapping of land suitability, yield potential, and/or economic feasibility associated with all development sectors (Online-only Table 1). Because technologies in all development sectors are rapidly changing, we limited our literature search to papers published within the last 10 years focusing mainly on global 17–25,27,32,54 and regional 16,55–60 analyses but also using state/local analyses 44–51,53,61–66 to fully capture the variety and weights of criteria used in all analyses. We relied on the most commonly cited development constraints and criteria that could be mapped from publicly available, open access global data to produce our DPI maps and thus facilitate public distribution of derived datasets.…”

Section: Methodsmentioning

confidence: 99%

“…Validated spatially with existing oil and gas fields.Jangid et al . 44 2016WindLSJodhpur District, Indianot listedaverage wind speed variation over months < 1.6 m/s at 20 m heightnoneforested landsincluding and within 500 m of residential land, > 1 km from a roadnoneLS based on GIS-MCDA using AHP/WLC methodology to locate wind farms. Spatial criteria classified into low, medium, and high.…”

Section: Online-only Tablesmentioning

confidence: 99%

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Mapping global development potential for renewable energy, fossil fuels, mining and agriculture sectors

et al. 2019

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Mapping suitable land for development is essential to land use planning efforts that aim to model, anticipate, and manage trade-offs between economic development and the environment. Previous land suitability assessments have generally focused on a few development sectors or lack consistent methodologies, thereby limiting our ability to plan for cumulative development pressures across geographic regions. Here, we generated 1-km spatially-explicit global land suitability maps, referred to as “development potential indices” (DPIs), for 13 sectors related to renewable energy (concentrated solar power, photovoltaic solar, wind, hydropower), fossil fuels (coal, conventional and unconventional oil and gas), mining (metallic, non-metallic), and agriculture (crop, biofuels expansion). To do so, we applied spatial multi-criteria decision analysis techniques that accounted for both resource potential and development feasibility. For each DPI, we examined both uncertainty and sensitivity, and spatially validated the map using locations of planned development. We illustrate how these DPIs can be used to elucidate potential individual sector expansion and cumulative development patterns.

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Section: Methodsmentioning

confidence: 99%

Section: Online-only Tablesmentioning

confidence: 99%

Mapping global development potential for renewable energy, fossil fuels, mining and agriculture sectors

et al. 2019

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“…The problem of constructing a decision model for selecting an onshore wind farm location is also dealt with in [30], a hybrid farm in [31,32], and an offshore wind farm in [14]. GIS decision systems were proposed, among other things in [33][34][35][36][37][38]. These systems evaluate the potential of onshore areas with regard to situating wind farms on the areas.…”

Section: Literature Reviewmentioning

confidence: 99%

Inter-Criteria Dependencies-Based Decision Support in the Sustainable wind Energy Management

Ziemba

2019

Energies

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Decision problems related to the wind energy require considering many, often interrelated and dependent on each other, criteria. To solve such problems, decision systems based on Multi-Criteria Decision Analysis (MCDA) methods are usually used. Unfortunately, most methods assume independence between the criteria, therefore, their application in decision problems related to the wind energy is debatable. This paper presents the use of the Analytic Network Process (ANP) method to solve a decision problem consisting in selecting the location and design of a wind farm. The use of the ANP method allows capturing the complexity of the decision problem by taking into consideration dependencies between criteria. As part of the verification of the solution, the results of the ANP method were compared with those of the Analytic Hierarchy Process (AHP) method, which uses only hierarchical dependencies between criteria. The conducted verification showed that the inter-criteria dependencies may have a significant influence on the obtained solution. On the basis of the conducted sensitivity analysis and the research into robustness of the rankings to the rank reversal phenomenon, it has been found out that the ranking obtained with the use of the ANP is characterized by a higher quality than by means of the AHP.

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“…The existing legal framework for OWF siting in Greece (SFSPSD-RES) [25] suggests a siting approach using several national-level siting criteria that are adapted to the characteristics of the host regions. The present paper proposes the following alternatives considering both the SFSPSD-RES and the contemporary literature on OWF siting: Although numerous studies in the literature suggest criteria and their minimum allowed limits for OWF development at global level (e.g., [37][38][39][40][41][42][43][44][45][46]), in this paper, the literature review is restricted to Greek case studies found in the literature (e.g., [47][48][49][50]). Finally, a few criteria were suggested by the authors and not found either in the SFSPSD-RES or in the literature review (e.g., continuous and discontinuous urban web).…”

Section: Identification Of Alternativesmentioning

confidence: 99%

Strategic Environmental Impact Assessment for Onshore Windfarm Siting in Greece

Vagiona

Karapanagiotidou

2019

Environments

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The distance between theory and practice in the strategic environmental assessment (SEA) process is particularly noticeable. The development of an integrated, comprehensive and systematic approach guided by the related literature is considered to be an ideal condition for enhancing the value of SEA and increasing its effectiveness. The aim of the present paper was to develop a methodological approach of the most technical and critical stages of SEA for onshore wind farm (OWF) siting. The methodological framework included the proposal of the SEA objectives along with the indicators’ development, the identification of alternatives, the selection of a ‘most viable or sustainable’ alternative, the identification of potential impacts, their assessment, and finally, the proposal of a SEA monitoring system using both qualitative and quantitative methods, tools, and techniques. OWF siting within low and/or moderate sensitivity areas was considered as the most viable/sustainable alternative. SEA highlighted that OWF siting caused moderately to highly significant negative impacts on the thematic section of biodiversity and extremely significant positive impacts on the thematic sections of renewable energy sources, economy, and society. Although the proposed methodology was applied on SEA of OWF siting in Greece, it can be used universally to identify the impacts of OWF siting planning.

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Potential zones identification for harvesting wind energy resources in desert region of India – A multi criteria evaluation approach using remote sensing and GIS

Cited by 80 publications

References 31 publications

Mapping global development potential for renewable energy, fossil fuels, mining and agriculture sectors

Mapping global development potential for renewable energy, fossil fuels, mining and agriculture sectors

Inter-Criteria Dependencies-Based Decision Support in the Sustainable wind Energy Management

Strategic Environmental Impact Assessment for Onshore Windfarm Siting in Greece

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