This paper aims to conduct modeling and simulation of a Concentrated Solar Power (CSP) Plant in Ber’Alganam area (Azzawia-Libya). Th thermal analysis of the solar power plant was carried out to identify its characteristics and present the monthly power curves according to measured solar radiation and meteorological data of Ber’Alganam (Azzawia-Libya). Th mathematical model of the plant was based on energy balance of each component used to develop the simulation tool using Matlab softare. Th simulationtool can be used to simulate the solar plant and achieve desired plots and results. Among many techniques used in the fild of solar power generation, the Concentrated Solar Power (CSP) technology using Parabolic Trough Collector (PTC) or (PT) has been selected. As a sample case, a 30 MW CSP plant was proposed to present the hourly performance and productivity through entire year. The study offred a description of two more technologies; thermal energy storage (TES) and backup boiler in order to enhance and stabilize the CSP plant and the continuous production throughout daytime and estimate the amount of fuel needed for thisissue, the results shows, the annual power output by both solar source, TES system, and the backup boiler are 91513, 318.36, and 4690.45 MWh/year, respectively, with respect the solar multiplier is 1.5. The study also concerned with the amount of emissions avoided by using CSP plants, the study estimated that, 18516.4 tons of emissions could be annually avoided by CSP plant rather than conventional plant that uses a natural gas as the energy source. Th results demonstrate that, the Ber’Alganam is a good location to construct CSP plants, according to the productivity indicators.
Ths paper aims to conduct modeling and simulation of a Concentrated Solar Power (CSP) Plant in Ber’Alganam area (Azzawia-Libya). Th thermal analysis of the solar power plant was carried out to identify its characteristics and present the monthly power curves according to measured solar radiation and meteorological data of Ber’Alganam (Azzawia-Libya). Th mathematical model of the plant was based on energy balance of each component used to develop the simulation tool using Matlab softare. Th simulation tool can be used to simulate the solar plant and achieve desired plots and results. Among many techniques used in the fild of solar power generation, the Concentrated Solar Power (CSP) technology using Parabolic Trough Collector (PTC) or (PT) has been selected. As a sample case, a 30 MW CSP plant was proposed to present the hourly performance and productivity through entire year. Th study offred a description of two more technologies; thermal energy storage (TES) and backup boiler in order to enhance and stabilize the CSP plant and the continuous production throughout daytime and estimate the amount of fuel needed for this issue, the results shows, the annual power output by both solar source, TES system, and the backup boiler are 91513, 318.36, and 4690.45 MWh/year, respectively, with respect the solar multiplier is 1.5. The study also concerned with the amount of emissions avoided by using CSP plants, the study estimated that, 18516.4 tons of emissions could be annually avoided by CSP plant rather than conventional plant that uses a natural gas as the energy source. Th results demonstrate that, the Ber’Alganam is a good location to construct CSP plants,according to the productivity indicators.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.