Q3 2025

Comparative Techno-Economic Analysis of Solar PV and CSP Technologies With and Without Thermal and Battery Storage in Saudi Arabian Cities

Malik Al-Abed Allah · Mohammad Al-Safadi
10.54966/jreen.v28i2.1500 384 المشاهدات 0 الاقتباسات
0
الاقتباسات
384
المشاهدات
الملخص

This study presents a comprehensive techno-economic evaluation of utility-scale solar power systems specifically solar tower (ST), linear Fresnel reflector (LFR), and photovoltaic (PV) technologies across ten cities in Saudi Arabia, assessed both with and without energy storage. Each system was designed to deliver a continuous power output of 150 megawatts electric (MWe), and its performance was analyzed in terms of the levelized cost of electricity (LCOE) and net present value (NPV) using the System Advisor Model (SAM). Results indicate that PV systems without storage achieve the lowest LCOE (2.74–3.29 USD¢/kWh) and are the only configuration with a positive NPV, making them the most economically viable option. ST systems exhibit LCOE values of 12.04–16.84 USD¢/kWh without storage and 11.13–17.68 USD¢/kWh with nine hours of thermal energy storage (TES), while LFR systems range from 13.51–18.31 USD¢/kWh without TES and 11.66–15.55 USD¢/kWh with TES. Although incorporating storage TES for concentrated solar power (CSP) and batteries for PV significantly enhances energy output, it also increases capital investment, resulting in negative NPVs for all but the stand-alone PV configuration. Overall, the findings underscore the superior cost-effectiveness of conventional PV systems under current economic and climatic conditions in Saudi Arabia and highlight the importance of further cost reductions in storage and CSP technologies to enhance their future competitiveness.

الاستشهاد بهذا المقال (APA)
Malik, A. A., Mohammad, A. (2025). Comparative Techno-Economic Analysis of Solar PV and CSP Technologies With and Without Thermal and Battery Storage in Saudi Arabian Cities. Journal of Renewable Energies. https://doi.org/10.54966/jreen.v28i2.1500
أبحاث ذات صلة
IoT and AI for Real-time Water Monitoring and Leak Detection
Lahcene Guezouli; Lyamine Guezouli; Mohammed Baha Eddine Djeghaba; Abir Bentahro · 2024
10
استشهاد
393
A Modified Genetic Algorithm for Optimizing the Placement and Sizing of Distributed Generators in Ra…
Nasreddine Bouchikhi; Fethi Boussadia; Riyadh Bouddou; Sarra Zaidi; Sarra Adiche · 2024
8
استشهاد
388
Estimation statistique des données du vent à partir de la distribution de Weibull en vue d’une prédi…
Jean Luc Nsouandélé; Dieudonné Kidmo Kaoga; Stephane Mbang Djetouda; Noël Djongy · 2024
6
استشهاد
394
Improved Sliding Mode Control of a Wind Turbine System Based on a Developed Permanent Magnet Synchro…
Amina Yachir; Abdallah Belabbes; Houari Merabet Boulouiha; Riyadh Bouddou; Allal · 2024
6
استشهاد
389
Comparative study of different types of DC/DC converters for PV systems using RBF neural network-bas…
Sarra Zaidi; Bouziane Meliani; Riyadh Bouddou; Souheyb Mohammed Belhadj; Nasredd · 2024
5
استشهاد
390
الوصول
عرض النص الكامل عبر DOI
نُشر في
الرقم الدولي ISSN 1112-2242
الربعية Q3
درجة المؤشر القياس العربي 84
التخصص Engineering & Technology
الناشر Renewable Energy Development Center
الدولة 🇩🇿 Algeria
عرض ملف المجلة →
المؤلفون
تفاصيل النشر
السنة 2025
اللغة English
أُضيف في 01 Aug 2026