A sustainable framework for spatial planning of photovoltaic solar farms using GIS and multi-criteria assessment approach in Central Anatolia, Turkey

Tercan, Emre; Eymen, Abdurrahman; Urfali, Tuğrul; Saraçoğlu, Burak Ömer

doi:10.1016/j.landusepol.2020.105272

Cited by 59 publications

(26 citation statements)

References 53 publications

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“…In this study, the values lower than 2° are considered as “highly suitable”, and greater than 5 as “not suitable”. A suitable aspect is one that faces south or is horizontal 24,28,53 . Because of Morocco's position in the Northern Hemisphere, solar panels installed on south‐facing hills will produce more solar energy than those installed on north‐facing slopes.…”

Section: Methodsmentioning

confidence: 99%

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Decision analysis related to solar farm investments based on analysis hierarchical process and fuzzyAHPfor sustainable energy production

Azmi

Amar

Chenal

et al. 2022

Intl J of Energy Research

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Renewable solar energy is one of the most preferable clean energy sources with no environmental impacts. The Marrakech Safi region (Moroccan context), with its arid and semi-arid climate, can ensure sustainable energy productionoriented for a green economy. This paper aims to perform a decision analysis using the analysis hierarchical process (AHP) and Fuzzy AHP to identify the suitable areas for potential solar farms. The adopted approaches used 15 factors to produce suitability maps. AHP and Fuzzy AHP were used to minimize the subjectivity related to the factor notation, and to improve the result of the models. The factors' weights were reevaluated using the sensitivity analysis to assess their influence by comparing the theoretical and the effective weights.

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Section: Methodsmentioning

confidence: 99%

“…In the literature, three infrastructures are utilized to help in site selection. For starters, the solar plant's proximity to a power supply line is a cost consideration 24‐26 . The proximity of network transmission lines to the sites is a benefit that lowers the overall installation costs.…”

Section: Methodsmentioning

confidence: 99%

Decision analysis related to solar farm investments based on analysis hierarchical process and fuzzyAHPfor sustainable energy production

Azmi

Amar

Chenal

et al. 2022

Intl J of Energy Research

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“…Appendix A.2. (1) (2) Year Title Acronym Aim Version References 2020 Global Power Prediction Systems GP2S…”

Section: Appendixes Appendix a Appendix A1mentioning

confidence: 99%

“…Note.1:(1) Blank is the one generated on spreadsheet software without any typing (e.g. tab),(2): Maximum data summary file: 478 bytes, minimum data summary file: 470 bytes; (3) Maximum data summary file: 475 bytes, minimum data summary file: 469 bytes; (4): Maximum data summary file: 478 bytes, minimum data summary file: 470 bytes; (5): Maximum data summary file: 478 bytes, minimum data summary file: 470 bytes; (6): Read, write duration at the run on 16/10/2021;…”

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confidence: 99%

Development progress of power prediction robot and platform: Its world level very long term prototyping example

Saraçoğlu¹

2022

Journal of Energy Systems

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Global Power Prediction Systems prototype version 2021 is presented with its system decomposition, scope, geographical/administrative/power grid decompositions, and similar. “Welcome”, “sign-up”, “log-in”, and “non-registered user main” web-interfaces are designed as draft on Quant UX. Map canvas is given as world political map with/without world power grid layers on QGIS 3.16.7-Hannover. Data input file is prepared based on several sources (1971-2018). It includes minimum and maximum values due to source value differences. 70/30 principle is applied for train/test splitting (training/testing sets: 1971-2003/2004-2018). 10 models are prepared on R version 4.1.1 with RStudio 2021.09.0+351. These are R::base(lm), R::base(glm), R::tidymodels::parsnip(engine("lm")), R::tidymodels::parsnip(engine("glmnet")) with lasso regularization, R::tidymodels::parsnip(engine("glmnet")) with ridge regularization, R::forecast(auto.arima) auto autoregressive integrated moving average (ARIMA), R::forecast(arima) ARIMA(1,1,2), and ARIMA(1,1,8). Electricity demand in kilowatt-hours at the World level zone for up to 500-years (2019-2519) prediction period with only 1-year interval is forecasted. The best model is the auto ARIMA (mean absolute percentage error MAPE and symmetric mean absolute percentage error SMAPE for minimum and maximum electricity consumption respectively 1,1652; 6,6471; 1,1622; 6,9043). Ex-post and ex-ante plots with 80%-95% confidence intervals are prepared in R::tidyverse::ggplot2. There are 3 alternative scripts (long, short, RStudio Cloud). Their respective runtimes are 41,45; 25,44; and 43,33 seconds. Ex-ante 500-year period (2019-2519) is indicative and informative.

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“…The simultaneous operation of lignite power plants, mines, and related infrastructure, such as belt conveyors, roads, substations, and HV lines, with the development, approval, and construction of PV stations, is an increasingly important area involving both technical and licensing issues. Each of these three functions is governed by a different licensing regime, which must be fulfilled and observed simultaneously, with every action requiring to be considered to avoid any adverse effects resulting from these functions [7,8]. The above framework and the particular characteristics of the areas led to an original approach for developing PV Stations in the areas of lignite mines in Western Macedonia.…”

Section: Introductionmentioning

confidence: 99%

Planning RES Projects in Exhausted Surface Lignite Mines—Challenges and Solutions

Antoniadis

Roumpos

Anagnostopoulos

et al. 2022

International Conference on Raw Materials and Circular Economy

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In the context of the complete phase-out of lignite-fired power plants and the corresponding surface mines, the central priority is to ensure a fair development transition for the lignite mining areas. In the context of the installation of renewable energy system projects in the surface lignite mines of Western Macedonia, this paper aims to analyze the challenges for developing photovoltaic projects in areas with different characteristics and to propose solutions for selecting suitable areas, based on corresponding analysis. The investigated parameters cover a wide range of spatial criteria. The results contribute to a pragmatic transition to green energy generation involving a circular economy and sustainable development.

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A sustainable framework for spatial planning of photovoltaic solar farms using GIS and multi-criteria assessment approach in Central Anatolia, Turkey

Cited by 59 publications

References 53 publications

Decision analysis related to solar farm investments based on analysis hierarchical process and fuzzyAHPfor sustainable energy production

Decision analysis related to solar farm investments based on analysis hierarchical process and fuzzyAHPfor sustainable energy production

Development progress of power prediction robot and platform: Its world level very long term prototyping example

Planning RES Projects in Exhausted Surface Lignite Mines—Challenges and Solutions

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