Site selection of wind farms using GIS and multi-criteria decision making method in Wafangdian, China

Xu, Ye; Li, Ye; Luo, Zheng; Cui, Liang; Li, Sha; Li, Wei; Cai, Yanpeng

doi:10.1016/j.energy.2020.118222

Cited by 125 publications

(43 citation statements)

References 53 publications

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“…To make the most out of wind energy, the initial step is to investigate and evaluate the potentiality and characteristics of wind power in the possible location or area. In this regard, the most frequent areas of wind power location optimization that have been investigated by scholars are Asia, Europe, and North America, including China [13][14][15], Iran [16][17][18][19], Spain [20,21], Turkey [22], to name a few.…”

Section: Check Resultsmentioning

confidence: 99%

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Location Optimization of Wind Plants Using DEA and Fuzzy Multi-Criteria Decision Making: A Case Study in Vietnam

2021

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The objective of the present paper is to develop a systematic and sustainability-focused evaluation framework to determine the best locations for wind plants in Vietnam. For the decision-making that influences wind plant site selection, while some criteria can be evaluated based on a numerical database, numerous qualitative criteria must be under experts' judgments in the form of linguistic terms and can be represented through fuzzy numbers. In this direction, a two-phase framework of multi-criteria decision making (MCDM) methodologies using the merits of Data Envelopment Analysis (DEA), Fuzzy Analytic Hierarchy Process (FAHP), and Fuzzy Weighted Aggregated Sum-Product Assessment (FWASPAS) is proposed for the first time. In the first phase using DEA, the most potential locations regarding their efficiency on various quantitative criteria are selected. These locations are further assessed in the second phase in terms of qualitative criteria viz. technical, economic, environmental, and socio-political factors. For this evaluation, FAHP was used for criteria weighting, and FWASPAS ranks the provinces. A comparison with the existing locations, sensitivity analysis of criteria, and comparative analysis of methods are performed to support the outcomes of the proposed work. The results illustrate that all methods reach common rankings, in which Binh Thuan province got the highest rank. This shows that the applied models are robust in nature. Implementation of the proposed approach can enable governments and stakeholders to save costs and make the most out of resources in the planning phase of wind power plants or any other renewable energy projects.

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Section: Check Resultsmentioning

confidence: 99%

“…Step 4: Calculate the weighted (̃) normalized fuzzy decision matrix for weighted sum model (WSM) using Equation (14).…”

Section: Linguistics Terms Fuzzy Scalementioning

confidence: 99%

Location Optimization of Wind Plants Using DEA and Fuzzy Multi-Criteria Decision Making: A Case Study in Vietnam

2021

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“…The selection of onshore wind sites utilized a two-stage approach, namely, filtering and screening (stage 1) and scoring and ranking (stage 2), which is similar to the process employed under FPV (please refer to Figure A1 in Appendix A). The filtering stage looked at the distance to the grid, distance to the protected zone, wind speed, capacity factor, the security risk of installation, and noise and flicker considerations due to proximity to buildings and settlements, as the model input parameters [88][89][90][91][92][93][94][95]. The second stage (ranking and scoring) included the distribution of the energy export (20% of r.w.…”

Section: Optimal Wind Sitementioning

confidence: 99%

Hydro–Connected Floating PV Renewable Energy System and Onshore Wind Potential in Zambia

et al. 2021

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The adoption of a diversification strategy of the energy mix to include low-water consumption technologies, such as floating photovoltaics (FPV) and onshore wind turbines, would improve the resilience of the Zambian hydro-dependent power system, thereby addressing the consequences of climate change and variability. Four major droughts that were experienced in the past fifteen years in the country exacerbated the problems in load management strategies in the recent past. Against this background, a site appraisal methodology was devised for the potential of linking future and existing hydropower sites with wind and FPV. This appraisal was then applied in Zambia to all the thirteen existing hydropower sites, of which three were screened off, and the remaining ten were scored and ranked according to attribute suitability. A design-scoping methodology was then created that aimed to assess the technical parameters of the national electricity grid, hourly generation profiles of existing scenarios, and the potential of variable renewable energy generation. The results at the case study site revealed that the wind and FPV integration reduced the network’s real power losses by 5% and improved the magnitude profile of the voltage at nearby network buses. The onshore wind, along with FPV, also added 341 GWh/year to the national energy generation capacity to meet the 4.93 TWh annual energy demand, in the presence of 4.59 TWh of hydro with a virtual battery storage potential of approximately 7.4% of annual hydropower generation. This was achieved at a competitive levelized cost of electricity of GBP 0.055/kWh. Moreover, floating PV is not being presented as a competitor to ground-mounted systems, but rather as a complementary technology in specific applications (i.e., retrofitting on hydro reservoirs). This study should be extended to all viable water bodies, and grid technical studies should be conducted to provide guidelines for large-scale variable renewable energy source (VRES) integration, ultimately contributing to shaping a resilient and sustainable energy transition.

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“…In addition, selecting the right locations is also the primary attention in terms of sustainability and reliability (Pambudi & Nananukul, 2019). Some of the important factors of the selection involve socio-economic, geographical, ecological, and environmental aspects (Xu et al, 2020). Moreover, other criteria, including wind velocity, land use, land tilt, plain condition, and distance to residential areas, also play an important role in the location selection (Talinli et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

“…In Southeast Pakistan, Solangi et al, (2018) analyzed the location priority selection of wind farms using the Fuzzy-TOPSIS technique. Xu et al, (2020) implemented the VIKOR method to select wind farm locations in Wafangdian, China. It has been proven that the MCDM approach has been widely used; however, AHP appears to be the most prominent method rooting for relative weighs of each criterion (Wu et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Location Suitability Analysis for Wind Farm Exploitation Using Fuzzy Analytic Hierarchy Process

Abdullah

Setiorini

Dwitasari

et al. 2021

Indonesian J. Sci. Technol

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The development of renewable energy has been constantly conducted as an attempt to increase energy diversification, improve energy sustainability and reduce greenhouse gas emissions, including the wind power plant (WPP). Suitable location selection is urgently necessary to achieve optimized output and high economic values. There are multi-criteria to be considered during the selection process, namely wind velocity, climate condition, road access, environmental impact, land use, land tilt, plain condition, distance to residential areas, etc. This study aimed to develop a software supporting multi-criteria decision-making based on artificial intelligent technology, namely fuzzy analytic hierarchy process (fuzzy-AHP) which was implemented to evaluate the WPP location suitability. The method of fuzzy-AHP is believed to be able to generate prioritized criteria supporting the location of WPP with high accuracy. Based on those criteria, there were two locations identified at Tanah Laut Regency, South Kalimantan, Indonesia, as the most suitable research sites. It is expected that studies employing fuzzy-AHP are to be further developed to determine wider renewable WPP locations.

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Site selection of wind farms using GIS and multi-criteria decision making method in Wafangdian, China

Cited by 125 publications

References 53 publications

Location Optimization of Wind Plants Using DEA and Fuzzy Multi-Criteria Decision Making: A Case Study in Vietnam

Location Optimization of Wind Plants Using DEA and Fuzzy Multi-Criteria Decision Making: A Case Study in Vietnam

Hydro–Connected Floating PV Renewable Energy System and Onshore Wind Potential in Zambia

Location Suitability Analysis for Wind Farm Exploitation Using Fuzzy Analytic Hierarchy Process

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