TECHNO-ECONOMIC ANALYSIS OF A HYBRID CSP-PV SYSTEM INTEGRATED WITH THERMAL STORAGE IN PALESTINE
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Date
2024-10-09
Authors
Kmail, Ahmad
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Publisher
An-Najah National University
Abstract
This thesis conducts a techno-economic analysis of a hybrid Parabolic Trough Concentrated Solar Power (CSP) and Photovoltaic (PV) system for electricity generation in Palestine. It aims to assess the feasibility, and performance of combining CSP and PV technologies to address Palestine’s energy challenges. The study begins with an assessment of solar power potential in Palestine, adopting the governorate of Jericho as a case study. The hybrid system is, aimed to maximize the benefits provided by both CSP and PV, availability of power around the clock, and increased efficiency. Technical and economic assessments for each technology are performed using the System Advisor Model software to analyze capacity factor, energy production, cost life cycle analysis, and economic parameter analysis including Levelized cost of energy (LCOE), internal rate of return (IRR), and Payback period (PP) for the hybrid system. The analysis is conducted under two scenarios: supplying a baseload and load following, to measure the system performance and economic flexibility under varying conditions. Assessments of environmental impacts are certainly part of the procedure regarding estimating the avoided carbon dioxide (CO2) emissions by adopting the hybrid system. The results show that utilizing a hybrid CSP-PV system has advantages over standalone systems in terms of increased energy output, reliability, and cost. In particular, the inclusion of thermal energy storage in CSP enhances the system's flexibility and reliability which makes it a feasible option for developing clean energy in Palestine. The economic analysis reveals that the hybrid system achieves an LCOE of 11.72 cent/kWh, an IRR of 13.35%, and a PP of 7 years under the load following scenario, with similar positive outcomes under the base load scenario. Additionally, the hybrid system is projected to avoid approximately 5,011.01 tons of CO2 emissions annually.