- 标题
- 摘要
- 关键词
- 实验方案
- 产品
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Geographic information system-based investment system for photovoltaic power plants location analysis in Turkey
摘要： The motivation of this research, development, demonstration, deployment, and diffusion (RD3&D) study is to present the progress of designing the GIS-based location selection module of autonomous investment decision support system and its experimental application for photovoltaic power plants (PVPPs) in Antalya, Burdur, and Isparta planning region Turkey. The other motivation of this RD3&D study is to start investigating in combinations the applicability and usability of weighted linear combination with 4 subjective weighting approaches (rank sum weight method (RS), inverse or reciprocal weights method (RR), rank order centroid (ROC), point allocation (PA)) for 5 main criteria, 14 sub-criteria, and 79 value ranges. The results show that 38.48% of the planning region is unsuitable, 61.52% is suitable. Only 2.07% of this region is very highly suitable according to RS. 7.13%, 9.22%, and 5.58% are respectively very highly suitable according to RR, ROC, and PA. Similarities between RS, RR, ROC, and PA methods are presented such as RS-RR: 0.7834, RS-ROC: 0.8510, and RS-PA: 0.6384 with covariance and correlation analysis. A backward-looking performance verification and validation analysis is also performed with 7 PVPPs for only 4 decisive success factors (capacity factor, annual energy/land use, project cost/capacity, project cost/energy). This study is thus able to evaluate the optimal locations for future investments, as well as the suitability conditions of the available investments. This study will contribute to provide some useful recommendations for decision makers to identify and assess the hotspots which are suitable for PVPPs in the planning region.
关键词： Multi-criteria decision-making,Photovoltaic,Geographic information system,Land suitability,Subjective weighting,Spatial analysis
更新于2025-09-23 15:19:57
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[IEEE 2019 IEEE International Conference on RFID Technology and Applications (RFID-TA) - Pisa, Italy (2019.9.25-2019.9.27)] 2019 IEEE International Conference on RFID Technology and Applications (RFID-TA) - A Waveguide Transmitarray Antenna for Near-field Millimeter-wave Sensing Applications
摘要： Miniaturized hyperspectral imaging sensors are becoming available to small unmanned airborne vehicle (UAV) platforms. Imaging concepts based on frame format offer an attractive alternative to conventional hyperspectral pushbroom scanners because they enable enhanced processing and interpretation potential by allowing for acquisition of the 3-D geometry of the object and multiple object views together with the hyperspectral reflectance signatures. The objective of this investigation was to study the performance of novel visible and near-infrared (VNIR) and short-wave infrared (SWIR) hyperspectral frame cameras based on a tunable Fabry–Pérot interferometer (FPI) in measuring a 3-D digital surface model and the surface moisture of a peat production area. UAV image blocks were captured with ground sample distances (GSDs) of 15, 9.5, and 2.5 cm with the SWIR, VNIR, and consumer RGB cameras, respectively. Georeferencing showed consistent behavior, with accuracy levels better than GSD for the FPI cameras. The best accuracy in moisture estimation was obtained when using the reflectance difference of the SWIR band at 1246 nm and of the VNIR band at 859 nm, which gave a root mean square error (rmse) of 5.21 pp (pp is the mass fraction in percentage points) and a normalized rmse of 7.61%. The results are encouraging, indicating that UAV-based remote sensing could significantly improve the efficiency and environmental safety aspects of peat production.
关键词： radiometry,image classification,geographic information system,spectroscopy,Calibration,geometry,stereo vision,remotely piloted aircraft,remote sensing
更新于2025-09-23 15:19:57
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An Optical Fiber Immunosensor with a Low Detection Limit Based on Plasmon Coupling Enhancement
摘要： Miniaturized hyperspectral imaging sensors are becoming available to small unmanned airborne vehicle (UAV) platforms. Imaging concepts based on frame format offer an attractive alternative to conventional hyperspectral pushbroom scanners because they enable enhanced processing and interpretation potential by allowing for acquisition of the 3-D geometry of the object and multiple object views together with the hyperspectral reflectance signatures. The objective of this investigation was to study the performance of novel visible and near-infrared (VNIR) and short-wave infrared (SWIR) hyperspectral frame cameras based on a tunable Fabry–Pérot interferometer (FPI) in measuring a 3-D digital surface model and the surface moisture of a peat production area. UAV image blocks were captured with ground sample distances (GSDs) of 15, 9.5, and 2.5 cm with the SWIR, VNIR, and consumer RGB cameras, respectively. Georeferencing showed consistent behavior, with accuracy levels better than GSD for the FPI cameras. The best accuracy in moisture estimation was obtained when using the reflectance difference of the SWIR band at 1246 nm and of the VNIR band at 859 nm, which gave a root mean square error (rmse) of 5.21 pp (pp is the mass fraction in percentage points) and a normalized rmse of 7.61%. The results are encouraging, indicating that UAV-based remote sensing could significantly improve the efficiency and environmental safety aspects of peat production.
关键词： Calibration,radiometry,geometry,image classification,stereo vision,remote sensing,remotely piloted aircraft,spectroscopy,geographic information system
更新于2025-09-23 15:19:57
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[IEEE 2019 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC) - Munich, Germany (2019.6.23-2019.6.27)] 2019 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC) - Laser Slicinga?￠Process for Gan-on-Gan Technology
摘要： In recent years, well-designed terminal-based methods for collecting index data have gradually replaced traditional pen-and-paper methods and have been extensively used in numerous studies. These new approaches offer users increased accuracy, efficiency, consumption, and data compatibility compared to traditional methods. In general, we find that spatial data content and quality index systems vary widely across different arable land regions. Thus, a system for the investigation of arable land quality indices that has the flexibility to utilize various types of spatial data and quality indices without requiring program modification is needed. This paper presents the framework, the module partition, and the structure of the data exchange interface for a highly flexible mobile GIS-based system, which we call the “arable land quality index data collection system” (ALQIDCS). This system incorporates a series of self-adaptive methods, a data table-driven model and two types of formulas for flexible data collection and processing. We tested our prototype system by investigating arable land quality in the Da Xing District, Beijing and in the Te Da La Qi District, Inner Mongolia, China. The results indicate that the ALQIDCS can effectively adapt to variations in spatial data and quality index systems and meet different objectives. The limitations of the ALQIDCS and suggestions for future work are also presented.
关键词： mobile geographic information system (GIS),Android,Agricultural data collection,arable land quality monitoring
更新于2025-09-23 15:19:57
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Multi-criteria decision-making model for assessment of large photovoltaic farms in Brazil
摘要： The decision of the location for the installation of photovoltaic power plants is a critical issue for large-scale projects due to climatic aspects, the proximity to other facilities, and the presence of protected environmental areas. The objective of this study is to propose a model capable of indicating the best location for the implantation of large-scale photovoltaic projects in the Brazilian territory. According to the proposed modeling, the relevant factors were identified to be considered in the choice of the ideal place, which were combined with the GIS-MCDM tools. The analysis of the areas was processed by the gvSIG software, using AHP methods for the evaluation of the factors and TOPSIS for ranking the alternatives. In application of this model, a total of 453 areas were identified that could receive a large photovoltaic installation, equivalent to 1823.35 km2 of the study area. Among these study areas, 67.23% of them are improper, 0.52% is good, 12.34% are very good, and only 19.91% are excellent. In order to validate the quality of the solution obtained by the proposed methodology was applied a detailed analysis with two scenarios. In the first one are used weights equal to all the criteria and in the second, the MAUT method was applied to rank the alternatives. The modeling proposed in this paper combining with GIS-MCDM is applicable to similar investigations in other regions and also to evaluate the spatial adequacy of other renewable energy technologies.
关键词： Solar energy,Geographic Information System (GIS),Determinant factors,Multi-Criteria Decision Making (MCDM),Restrictive Factors
更新于2025-09-23 15:19:57
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Land Use Assessment of Economic Crops for Photovoltaic Power Plant in Phetchabun Province
摘要： This research focuses at the change of land use from agriculture to photovoltaic power plant. Geographic information system (GIS) technology was used to indicate the unsuitable areas for five economic crops namely paddy, sugar cane, maize, cassava and para rubber. The assess cost, income, and CO2 emission of the economic crops and photovoltaic power plant are the major factors for deciding the suitability of the land use. The results were found that the unsuitable areas of the five economic crops are 241,142 rai and there is 17.6 MJ/m2.day of average solar radiation, which is suitable to build the photovoltaic power plant. The profit/loss of paddy, sugar cane, maize, cassava and para rubber in the suitable areas are -1,193 baht/ton, 33 baht/ton, 85 baht/ton, 259 baht/ton and -9,150 baht/ton, respectively while photovoltaic power plant cost and income are 4.12 baht/kWh and 5.65 baht/kWh respectively. CO2 emission of paddy, sugar cane, maize, cassava, para rubber and photovoltaic power plant are 2,315 kgCO2eq/ton, 37.15 kgCO2eq/ton, 256.12 kgCO2eq/ton, 29.07 kgCO2eq/ton, 153 kgCO2eq/ton and -0.5743 kgCO2eq/kWh, respectively. Results revealed that land use change from economic crops planting to photovoltaic power plant construction, in unsuitable areas is appropriate and worthy from the environmental and the economic aspect.
关键词： Photovoltaic power plant,Geographic information system,Land use
更新于2025-09-16 10:30:52
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Potential energy saving in urban and rural households of Mexico with solar photovoltaic systems using geographical information system
摘要： The worldwide development of photovoltaic technology has achieved economic maturity, which currently suggests that it can be implemented on a large scale in developing countries. Mexico is a privileged country in terms of its solar resource availability. However, it also has tremendous challenges, which it must encounter in the medium term to promote pollution emission reduction and support strategies contributing to sustainable development. Therefore, in this study, we verified the state-of-the-art implementation of an interconnected photovoltaic system network and reviewed the current legislation for photovoltaic energy in Mexico. Besides, we performed an energy savings analysis for solar photovoltaic technology implementation on a large scale in urban and rural homes in Mexico by using the Geographic Information System. The results showed potential for energy savings with the use of an interconnected photovoltaic system network at a large-scale. Based on the information processed through 187,719 urban and 4,525 rural locations, it could be inferred that in Mexico, each household needs four photovoltaic panels on average to satisfy its energy requirements. Thus, even with implementation in homes alone, the country could achieve energy savings of an estimated 39,750 GWh, equivalent to 20.27 Tg of CO2 avoided emissions, i.e., 3% of the annual national emissions.
关键词： Solar potential,Households,Photovoltaic systems,Geographic information system,Mexico
更新于2025-09-16 10:30:52
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[IEEE 2019 European Space Power Conference (ESPC) - Juan-les-Pins, France (2019.9.30-2019.10.4)] 2019 European Space Power Conference (ESPC) - PVA Factory 4.0: a hardware-driven approach to assess, develop and qualify Industry 4.0 processes and means for the manufacturing of PhotoVoltaic Assemblies
摘要： In recent years, well-designed terminal-based methods for collecting index data have gradually replaced traditional pen-and-paper methods and have been extensively used in numerous studies. These new approaches offer users increased accuracy, efficiency, consumption, and data compatibility compared to traditional methods. In general, we find that spatial data content and quality index systems vary widely across different arable land regions. Thus, a system for the investigation of arable land quality indices that has the flexibility to utilize various types of spatial data and quality indices without requiring program modification is needed. This paper presents the framework, the module partition, and the structure of the data exchange interface for a highly flexible mobile GIS-based system, which we call the “arable land quality index data collection system” (ALQIDCS). This system incorporates a series of self-adaptive methods, a data table-driven model and two types of formulas for flexible data collection and processing. We tested our prototype system by investigating arable land quality in the Da Xing District, Beijing and in the Te Da La Qi District, Inner Mongolia, China. The results indicate that the ALQIDCS can effectively adapt to variations in spatial data and quality index systems and meet different objectives. The limitations of the ALQIDCS and suggestions for future work are also presented.
关键词： mobile geographic information system (GIS),Android,Agricultural data collection,arable land quality monitoring
更新于2025-09-16 10:30:52
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Evaluation of the photovoltaic potential in built environment using spatial data captured by unmanned aerial vehicles
摘要： In this paper, a spatial photovoltaic (PV) potential evaluation method based on the combination of aerial photogrammetry and Geographic Information System (GIS) is proposed for PV potential evaluation of built environment (BE). The method can be applied to PV potential evaluation of not only building roofs, but also built environments such as carpark. The point cloud model of the studied field is established by processing images captured by unmanned aerial vehicles (UAV), which are then imported into GIS to estimate the available area for PV installation based on sunlight analysis after offsetting the identified borders of the urban and ecological infrastructures. The PV potential is determined based on the installation configurations of PV modules. With the help of the PVSYST software simulation, the proposed method in this paper is used to evaluate the PV potential of a carpark and a rooftop of a building in Singapore.
关键词： geographic information system,low‐altitude aerial photography,photovoltaic potential evaluation,photogrammetry,built environment
更新于2025-09-11 14:15:04