2011
DOI: 10.1134/s0040601511110073
|View full text |Cite
|
Sign up to set email alerts
|

Development of the geoinformation system “Renewable sources of Russia”: Statement of the problem and choice of solution methods

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2014
2014
2023
2023

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 9 publications
(1 citation statement)
references
References 1 publication
0
1
0
Order By: Relevance
“…Firstly, it does not take into account changes in the value of money over time (discount coefficient), and secondly, it requires data on the exact locations of all industrial facilities on which the installation of solar collectors is planned. When calculating the regional potential for such a region as the Krasnodar Territory, with an area of 76,000 square km and a length from north to south of more than 320 km, and from west to east of more than 350 km, this approach creates significant computational difficulties [20] and at the same time does not give any advantages over less accurate methods, since it still leads to the need for data averaging. Therefore, in this study, we used an approach based on the construction of a linear regression model based on statistics on the performance of flat solar water collectors in different regions of the world presented in the source [15].…”
Section: Methodsmentioning
confidence: 99%
“…Firstly, it does not take into account changes in the value of money over time (discount coefficient), and secondly, it requires data on the exact locations of all industrial facilities on which the installation of solar collectors is planned. When calculating the regional potential for such a region as the Krasnodar Territory, with an area of 76,000 square km and a length from north to south of more than 320 km, and from west to east of more than 350 km, this approach creates significant computational difficulties [20] and at the same time does not give any advantages over less accurate methods, since it still leads to the need for data averaging. Therefore, in this study, we used an approach based on the construction of a linear regression model based on statistics on the performance of flat solar water collectors in different regions of the world presented in the source [15].…”
Section: Methodsmentioning
confidence: 99%