Special Issue "Renewable Energy Analysis and Prospecting Using GIS"

A special issue of ISPRS International Journal of Geo-Information (ISSN 2220-9964).

Deadline for manuscript submissions: closed (31 March 2019).

Special Issue Editors

Guest Editor
Prof. Dr. Yannis Maniatis Website E-Mail
University of Piraeus, f. Minister of Environment, Energy & Climate Change, Greece
Interests: Energy, Environment, G.I.S., Development
Guest Editor
Dr. Ioannis Tsipouridis E-Mail
Mentor at I.S.N.A.D, G. Manager R.E.D. Pro Consultants, Editor e-mc2
Interests: renewables; climate change
Guest Editor
Assist. Prof. Haris Doukas Website E-Mail
National Technical University of Athens, Greece
Interests: energy and climate policy; multiple criteria decision support

Special Issue Information

Dear Colleagues,

The interfaces of Renewable Energy Sources (RES) and Geographic Information Systems (GIS) have received significant attention, from both academia and industry, since the early 2000s. This synergistic prospect is increasingly allowing end users and policymakers alike to access information, which is easily and quickly interpretable, properly contextualized, and therefore specifically tailored to their needs.

On the other hand, scientists coming from different disciplines related to renewable energy sources, energy production and transmission, environmental sciences, climate change continuously require more complete and specialized datasets to integrate in their analyses. Simultaneously, by facilitating data access and evaluation, as well as promoting open access to create a level playing field for non-funded scientists, data can be readily used for scientific research in renewable energy analysis. 

These two challenges drive the new scientific advancements in GIS towards (i) bigger/more comprehensive datasets, (ii) geo-information and earth-observation architectures and services, and (iii) new IT communication technologies (location-based tools, games, virtual and augmented reality technologies, etc.). Relative research, also involves the development of new approaches to consolidate the fragmented and incoherent energy data across the literature and among geospatial communities, thus communicating the new information to the different audiences.

The fine tuning of the synergy between Renewable Energy Sources (RES) and Geographic Information Systems (GIS), is critical and will be of tantamount importance in the process of attaining, in time, the Paris Agreement climate goals.

This Special Issue seeks to present the recent advances in GIS-based Renewable Energy Analysis. Authors are encouraged to submit original contributions, which may include simulation studies, empirical field experiments and survey-based approaches, answering to the related temporary research questions in the field. The target audience of this Special Issue includes researchers and practitioners in the field of Renewable Energy Sources and geographical analyses, due to its explicitly practical application aspects.

Prof. Dr. Yannis Maniatis
Dr. Ioannis Tsipouridis
Assist. Prof. Haris Doukas
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. ISPRS International Journal of Geo-Information is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • Renewable Energy Sources
  • Geographic information systems
  • Land use
  • Energy demand
  • Energy scenarios
  • Energy planning
  • Regional planning
  • Behavioral research
  • Climate induced migration
  • Climate change and crop failure
  • Geo-crowd sourced data
  • Decision making
  • Participatory approach
  • Information management

Published Papers (1 paper)

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Open AccessArticle
Automatic Parametrization and Shadow Analysis of Roofs in Urban Areas from ALS Point Clouds with Solar Energy Purposes
ISPRS Int. J. Geo-Inf. 2018, 7(8), 301; https://doi.org/10.3390/ijgi7080301 - 28 Jul 2018
Cited by 2
A basic feature of modern and smart cities is their energetic sustainability, using clean and renewable energies and, therefore, reducing the carbon emissions, especially in large cities. Solar energy is one of the most important renewable energy sources, being more significant in sunny [...] Read more.
A basic feature of modern and smart cities is their energetic sustainability, using clean and renewable energies and, therefore, reducing the carbon emissions, especially in large cities. Solar energy is one of the most important renewable energy sources, being more significant in sunny climate areas such as the South of Europe. However, the installation of solar panels should be carried out carefully, being necessary to collect information about building roofs, regarding its surface and orientation. This paper proposes a methodology aiming to automatically parametrize building roofs employing point cloud data from an Aerial Laser Scanner (ALS) source. This parametrization consists of extracting not only the area and orientation of the roofs in an urban environment, but also of studying the shading of the roofs, given a date and time of the day. This methodology has been validated using 3D point cloud data of the city of Santiago de Compostela (Spain), achieving roof area measurement errors in the range of ±3%, showing that even low-density ALS data can be useful in order to carry out further analysis with energetic perspective. Full article
(This article belongs to the Special Issue Renewable Energy Analysis and Prospecting Using GIS)
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