Next Article in Journal
Evaluation of Infrared Radiation Combined with Hot Air Convection for Energy-Efficient Drying of Biomass
Previous Article in Journal
A Novel Multi-Agent-Based Collaborative Virtual Manufacturing Environment Integrated with Edge Computing Technique
Open AccessArticle

Stochastic Evaluation of Landscapes Transformed by Renewable Energy Installations and Civil Works

School of Civil Engineering, Laboratory of Hydrology and Water Resources Development, National Technical University of Athens, Heroon Polytechneiou 9, Zographou 157 80, Greece
*
Author to whom correspondence should be addressed.
Energies 2019, 12(14), 2817; https://doi.org/10.3390/en12142817
Received: 11 June 2019 / Revised: 4 July 2019 / Accepted: 14 July 2019 / Published: 22 July 2019
(This article belongs to the Section Energy and Environment)
  |  
PDF [2848 KB, uploaded 25 July 2019]
  |  

Abstract

Renewable energy (RE) installations and civil works are beneficial in terms of sustainability, but a considerable amount of space in the landscape is required in order to harness this energy. In contemporary environmental theory the landscape is considered an environmental parameter and the transformation of the landscape by RE works has received increasing attention by the scientific community and affected societies. This research develops a novel computational stochastic tool the 2D Climacogram (2D-C) that allows the analysis and comparison of images of landscapes, both original and transformed by RE works. This is achieved by a variability characterization of the grayscale intensity of 2D images. A benchmark analysis is performed for art paintings in order to evaluate the properties of the 2D-C for image analysis, and the change in variability among images. Extensive applications are performed for landscapes transformed by RE works. Results show that the 2D-C is able to quantify the changes in variability of the image features, which may prove useful in the landscape impact assessment of large-scale engineering works. View Full-Text
Keywords: renewable energy; stochastic analysis of images; landscapes transformation; landscape visual impact assessment; optimizing landscape architecture renewable energy; stochastic analysis of images; landscapes transformation; landscape visual impact assessment; optimizing landscape architecture
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Supplementary material

SciFeed

Share & Cite This Article

MDPI and ACS Style

Sargentis, G.-F.; Dimitriadis, P.; Ioannidis, R.; Iliopoulou, T.; Koutsoyiannis, D. Stochastic Evaluation of Landscapes Transformed by Renewable Energy Installations and Civil Works. Energies 2019, 12, 2817.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top