MATEC Web Conf.
Volume 178, 201822nd International Conference on Innovative Manufacturing Engineering and Energy - IManE&E 2018
|Number of page(s)||6|
|Section||Energy (Smart Grids, Energy Efficiency in Buildings, Energy systems and energy management, Energy policies, Environmental technologies and studies, Renewable energy technologies and energy saving materials)|
|Published online||24 July 2018|
Data processing as a critical part of GIS based mapping of renewable energy perspectives
Lomonosov Moscow State University, Department of Geography, Leninskie Gory, 1, Moscow, Russia
2 T.I. Vyazemsky Karadag Scientific Station - Nature Reserve of the Russian Academy of Sciences, Russia
* Corresponding author: email@example.com
Estimation of optimal location for power plants using renewable energy sources requires big data processing and consideration lots of factors. It is suggested to use geographical information systems based approach to simplify workflow. The result of investigation is a series of maps divided into 2 groups: estimation of natural resources for renewable energy, and evaluation of limitations caused with socioeconomic policy. These maps help us to outline the most suitable as well as restricted places for perspective power plants.
© The Authors, published by EDP Sciences, 2018.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.