Solar energy efficiency in different climatic conditions of Armenia

This study presents a comprehensive evaluation of solar energy economic efficiency across various climatic zones in Armenia, employing advanced thermodynamic and economic modeling approaches. The research utilizes a modified System Advisor Model (SAM) coupled with energy balance equations compliant with IEC 61724-1:2017 standard to analyze three regional scenarios for 5 MW solar installations. Climate data validation incorporates information from Global Solar Atlas and NASA POWER databases, with comparative analysis extended to Southern California (USA), Northern India, Kazakhstan, and South Caucasus regions. Results demonstrate exceptional performance in Armenia’s Gavar region, achieving annual electricity generation of 8.746 GWh, with a 19.99% average capacity factor, annual fuel savings of 1,914 metric tons, and a competitive levelized cost of electricity (LCOE) of $0.042/kWh. The study reveals Armenia’s significant solar potential, with average annual global horizontal irradiation (GHI) reaching 1,720 kWh/m² - 72% higher than the European average according to Photovoltaic Geographical Information System (PVGIS) data. These findings provide scientifically validated recommendations for optimal solar system deployment aligned with Armenia’s National Renewable Energy Strategy 2030, while contributing substantively to the achievement of United Nations Sustainable Development Goal 7 (SDG-7) on affordable and clean energy.

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-08-28
DOI
https://doi.org/10.1051/e3sconf/202564600032/pdf
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Solar energy efficiency in different climatic conditions of Armenia

Springer Link (Chiba Institute of Technology)
Geochemistry and Geologic Mapping
article

Solar energy efficiency in different climatic conditions of Armenia

article en

Abstract

This study presents a comprehensive evaluation of solar energy economic efficiency across various climatic zones in Armenia, employing advanced thermodynamic and economic modeling approaches. The research utilizes a modified System Advisor Model (SAM) coupled with energy balance equations compliant with IEC 61724-1:2017 standard to analyze three regional scenarios for 5 MW solar installations. Climate data validation incorporates information from Global Solar Atlas and NASA POWER databases, with comparative analysis extended to Southern California (USA), Northern India, Kazakhstan, and South Caucasus regions. Results demonstrate exceptional performance in Armenia’s Gavar region, achieving annual electricity generation of 8.746 GWh, with a 19.99% average capacity factor, annual fuel savings of 1,914 metric tons, and a competitive levelized cost of electricity (LCOE) of $0.042/kWh. The study reveals Armenia’s significant solar potential, with average annual global horizontal irradiation (GHI) reaching 1,720 kWh/m² - 72% higher than the European average according to Photovoltaic Geographical Information System (PVGIS) data. These findings provide scientifically validated recommendations for optimal solar system deployment aligned with Armenia’s National Renewable Energy Strategy 2030, while contributing substantively to the achievement of United Nations Sustainable Development Goal 7 (SDG-7) on affordable and clean energy.

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 60%
Geochemistry and Geologic Mapping
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.