scholarly journals Solar energy incident at the receiver of a solar tower plant, derived from remote sensing: Computation of both DNI and slant path transmittance

2017 ◽  
Author(s):  
Thierry Elias ◽  
Didier Ramon ◽  
Marie-Agnès Garnero ◽  
Laurent Dubus ◽  
Charles Bourdil
Keyword(s):  
Remote Sensing ◽  
Solar Energy ◽  
Energy Incident ◽  
Slant Path

Forecasting dust impact on solar energy using remote sensing and modeling techniques

Solar Energy ◽  
2021 ◽  
Vol 228 ◽  
pp. 317-332
Author(s):  
Akriti Masoom ◽  
Panagiotis Kosmopoulos ◽  
Ankit Bansal ◽  
Antonis Gkikas ◽  
Emmanouil Proestakis ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Solar Energy ◽  
Modeling Techniques

Determining profits for solar energy with remote sensing data

Energy ◽  
2010 ◽  
Vol 35 (7) ◽  
pp. 2934-2938 ◽  
Author(s):  
Shifeng Wang ◽  
Barbara Koch
Keyword(s):  
Remote Sensing ◽  
Solar Energy ◽  
Remote Sensing Data ◽  
Sensing Data

scholarly journals RESOLUTION IN PHOTOVOLTAIC POTENTIAL COMPUTATION

2016 ◽  
Vol III-4/W1 ◽  
pp. 89-96
Author(s):  
N. Alam ◽  
V. Coors ◽  
S. Zlatanova ◽  
P. J. M. Oosterom
Keyword(s):  
Solar Energy ◽  
Incident Energy ◽  
Computation Time ◽  
Diffuse Radiation ◽  
Time Interval ◽  
Object Surface ◽  
Precise Estimation ◽  
Building Models ◽  
Depth Analysis ◽  
Energy Incident

In this paper, an analysis of the effect of the various types of resolution involved in photovoltaic potential computation is presented. To calculate solar energy incident on a surface, shadow from surrounding buildings has been considered. The incident energy on a surface has been calculated taking the orientation, tilt and position into consideration. Different sky visibility map has been created for direct and diffuse radiation and only the effect of resolution of the factors has been explored here. The following four resolutions are considered: 1. temporal resolution (1, 10, 60 minutes time interval for calculating visibility of sun), 2. object surface resolution (0.01, 0.1, 0.375, 0.75, 1.25, 2.5 and 5 m<sup>2</sup> as maximum triangle size of a surface to be considered), 3. blocking obstacle resolution (number of triangles from LoD1, LoD2, or LoD3 CityGML building models), and 4. sky resolution (ranging from 150 to 600 sky-patches used to divide the sky-dome). Higher resolutions result in general in more precise estimation of the photovoltaic potential, but also the computation time is increasing, especially as realizes that this computation has to be done for every building with its object surface (both roofs and façades). This paper is the first in depth analysis ever of the effect of resolution and will help to configure the proper settings for effective photovoltaic potential computations

scholarly journals An Approach for Estimating Solar Photovoltaic Potential Based on Rooftop Retrieval from Remote Sensing Images

Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 3172 ◽  
Author(s):  
Xiaoyang Song ◽  
Yaohuan Huang ◽  
Chuanpeng Zhao ◽  
Yuxin Liu ◽  
Yanguo Lu ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Solar Radiation ◽  
Solar Energy ◽  
Image Data ◽  
Surface Model ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Remote Sensing Images ◽  
Time Step ◽  
Pv Systems

Solar energy is the most clean renewable energy source and has good prospects for future sustainable development. Installation of solar photovoltaic (PV) systems on building rooftops has been the most widely applied method for using solar energy resources. In this study, we developed an approach to simulate the monthly and annual solar radiation on rooftops at an hourly time step to estimate the solar PV potential, based on rooftop feature retrieval from remote sensing images. The rooftop features included 2D rooftop outlines and 3D rooftop parameters retrieved from high-resolution remote sensing image data (obtained from Google Maps) and digital surface model (DSM, generated from the Pleiades satellite), respectively. We developed the building features calculation method for five rooftop types: flat rooftops, shed rooftops, hipped rooftops, gable rooftops and mansard rooftops. The parameters of the PV modules derived from the building features were then combined with solar radiation data to evaluate solar photovoltaic potential. The proposed method was applied in the Chao Yang District of Beijing, China. The results were that the number of rooftops available for PV systems was 743, the available rooftop area was 678,805 m2, and the annual PV electricity potential was 63.78 GWh/year in the study area, which has great solar PV potential. The method to perform precise calculation of specific rooftop solar PV potential developed in this study will guide the formulation of energy policy for solar PV in the future.

Mapping Solar Energy Potential Zones using Remote Sensing based Solar Data

2021 ◽  
Author(s):  
Samir Kumar Singh ◽  
S. K. Mishra ◽  
Ashish Kumar Kashyap ◽  
Shailendra Kumar Jain
Keyword(s):  
Remote Sensing ◽  
Solar Energy ◽  
Energy Potential

Estimation of Hong Kong’s solar energy potential using GIS and remote sensing technologies

2016 ◽  
Vol 99 ◽  
pp. 325-335 ◽  
Author(s):  
Man Sing Wong ◽  
Rui Zhu ◽  
Zhizhao Liu ◽  
Lin Lu ◽  
Jinqing Peng ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Solar Energy ◽  
Energy Potential ◽  
Gis And Remote Sensing

scholarly journals ANALYSIS OF SOLAR ENERGY POTENTIAL BY REMOTE SENSING TECHNIQUES IN VARAŽDINSKA COUNTY, CROATIA

2021 ◽  
Vol XLVI-4/W5-2021 ◽  
pp. 343-347
Author(s):  
N. Kranjčić ◽  
A. Bek ◽  
B. Đurin ◽  
S. K. Singh ◽  
S. Kanga
Keyword(s):  
Remote Sensing ◽  
Gallium Arsenide ◽  
Solar Energy ◽  
Energy Production ◽  
Crystalline Silicon ◽  
Multicriteria Analysis ◽  
The European Union ◽  
Solar Panels ◽  
Remotely Sensed Data ◽  
Energy Potential

Abstract. Renewable energy becomes more and more considered as energy production due to great benefits and less environmental impact then traditional energy sources. As a part of the European Union, Croatia agreed upon certain energy efficiency goal that need to be achieved during certain period. In this paper we analyse solar energy potential in northern part of Croatia, Varaždinska county. Remotely sensed data, CORINE land cover, digital elevation model, is used to perform multicriteria analysis. There are different solar panels considered: mono-crystalline silicon panels, poly-crystalline silicon panels, amorphous silicon panels, gallium arsenide panels and cadmium tellurium panels. Based on remote sensing data estimated yearly production of electric energy from solar potential could be from 8.40*107 to 2.43*1010 kWh depending on different slope of solar panels. Gallium arsenide panels shows best usability depending on slope estimated energy production is from 2.52*1010 to 7.30*1010 kW.

Sign in / Sign up

Export Citation Format

Share Document