Forecasting of total daily solar energy generation using ARIMA: A case study

Author(s):  
Sharif Atique ◽  
Subrina Noureen ◽  
Vishwajit Roy ◽  
Vinitha Subburaj ◽  
Stephen Bayne ◽  
...  
2021 ◽  
Author(s):  
Peter Lichtenwoehrer ◽  
Georg Neugebauer ◽  
Lore Abart-Heriszt ◽  
Franz Suppan ◽  
Gernot Stoeglehner

<p>In the course of the energy transition, spatial and temporal aspects of energy demand and renewable energy supply are increasingly coming to the forefront of scientific studies and political debates. In this context, the use of spatiotemporal models has been identified as a decisive methodology for integrated spatial and energy planning. However, the transformation of spatiotemporal results into concrete spatial planning instruments has not yet been sufficiently discussed. Therefore, this research aims to provide answers by using specific results of a case study in Austria. In the case study evaluation, energy demand is considered in high spatial resolution using statistic data in 250m raster cells as a basis. The results are supplemented with an assessment of high spatio-temporal solar energy potentials. Taking these results as a basis, the following questions are addressed: How can spatial and temporal evaluations of energy demand and supply support the energy transition by means of spatial planning on the local level? What measures with respect to renewable energy generation, storage and grid capacity can be derived and which effects are expected to be achieved? With respect to renewable energy provision, initial results reveal added value for the spatial delimitation of district heating supply areas. Further, building integrated solar energy generation reveals high shares of excess energy – both thermal and electric – which has to be properly used, taking into account different sectors of energy demand. As a consequence, the results of this research also offer the opportunity to reflect on the benefits of sector coupling, as well as the new organization of energy supply via energy communities.</p>


2021 ◽  
Author(s):  
ferhan hasmaden ◽  
Gülay Zorer Gedik ◽  
Neşe Yüğrük Akdağ

Abstract Solar energy solutions that do not require additional space are critical. Noise barriers, which are built in low-value lands next to noise sources, provide effective areas for PV modules. There are many studies on using noise barriers as a sub-structure for photovoltaic systems, providing electricity generation besides noise reduction targets. Photovoltaic Noise Barrier (PVNB) technology combines noise control measures with renewable energy generation. In this study, it is aimed to develop an integrated design method that embeds solar energy technology in noise protection structures. The method is exemplified in an existing settlement located on the side of the road with heavy traffic. According to local climate and solar data, optimum tilt angles have been determined for annual, semi-annual, seasonal, and monthly periods. Noise barrier alternatives are derived with combinations of different diffraction edge sizes of barrier top and determined optimum inclination angles. The performance of the criteria that affect the PVNB effectiveness for alternatives was calculated through software tools. The energy generation potential of PVNB and its shading in adjacent blocks were calculated with PVsyst 6.7.7. The noise control efficiency of the structure was computed via SoundPLAN 7.2. TOPSIS method one of the most common multi-criteria decision-making technique (MCDM) was used in the evaluation. As a result of TOPSIS, the best PVNB solution in the case study is the alternative that has 3m and 2m wide edges; 58 ° and 31 ° tilted edges. Comparison with the current situation, the selected alternative will decrease %44 the number of receiving points affected by noise and provide 524804 kWh annual electricity generation.


Author(s):  
Huang Yu Hsiang ◽  
Tseng Sheng Yuan ◽  
Ping Wang ◽  
Lin Wen Hui ◽  
Lin Hsiao Chung

Author(s):  
D Kodirov ◽  
O Tursunov ◽  
A Ahmedov ◽  
R Khakimov ◽  
M Rakhmataliev

Author(s):  
Alireza Refiei ◽  
Reyhaneh Loni ◽  
Gholamhassan Najafi ◽  
Evangelos Bellos ◽  
Mohsen Sharifpur ◽  
...  

2017 ◽  
Vol 117 ◽  
pp. 786-793 ◽  
Author(s):  
Atul Manmohan ◽  
Akhil Prasad ◽  
Ravi Dharavath ◽  
S. Prabhakar Karthikeyan ◽  
I. Jacob Raglend

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