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[IEEE 2018 International conference on Computing, Electronic and Electrical Engineering (ICE Cube) - Quetta, Pakistan (2018.11.12-2018.11.13)] 2018 International Conference on Computing, Electronic and Electrical Engineering (ICE Cube) - Design and Simulation of Molten Salt Based Solar Thermal Power Plant using LFR Technology in Pakistan
摘要： Pakistan being an underdeveloped country is facing several problems. One of the most important problems of the country has been Energy crises. Pakistan has very rich resources of renewable energy which are yet to be utilized. Among these renewable energy resources, energy from sun is one of the most abundant one. Concentrated Solar power CSP is considered to be the best technology to generate electricity for solar energy. Design of a CSP plant with a capacity of 100 MW using Linear Fresnel Reflectors and integrated with thermal energy storage of six hour is proposed in this paper. A location near Nawabshah receiving direct normal irradiance (DNI) of 1955 KWh/m2/year is selected on the basis of CSP plant requirements. System advisor model (SAM) selected for carrying out the simulation of the proposed plant for one year. Heat transfer fluid is molten salt known as Hitec solar Salt instead of using synthetic oil. From simulation results it was found that the plant can generate 220,734,832 kWh (220.735 GWh) of electricity annually. The capacity factor and gross to net conversion were found to be 25.2% and 90% respectively. These results obtained are encouraging and justify that a plant based on the proposed model is thermodynamically feasible in Pakistani environment.
关键词： Solar Energy,Concentrated Solar Thermal Power,Renewable Energy,Electricity,System Advisor Model,Pakistan,Linear Fresnel Reflector
更新于2025-09-19 17:15:36
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Impact of DNI forecasting on CSP tower plant power production
摘要： In the context of energy policies focusing on minimizing power plant emissions, concentrating solar power (CSP) technology plays an important role in the energy mix. These plants require a high level of direct normal irradiance to work properly and profitably. Over-sizing of plant capacity is frequently employed in order to store part of the energy produced, to extend the operating time throughout the day, and also to manage cloud transients. Forecasting the energy delivered by the plant is very important in plant operational strategies to ensure dispatchability as much as possible. This work presents an analysis of energy forecasting in solar tower plants by combining a short-term solar irradiation forecasting scheme with a solar tower plant model using the System Advisor Model (SAM), as the modelling tool for computing plant production throughout the year. Satellite images were used to predict Direct Normal Irradiance (DNI) on an intra-hour time-scale (up to three hours). The predictions were introduced into SAM to simulate the behaviour of the Gemasolar and Crescent Dunes plants, placed on Spain and Nevada, respectively). The results show that the best outcomes appear for the 90-mins horizon, where the Mean Bias was about -10% and the RMSE near to 23%.
关键词： Crescent Dunes (Nevada),CSP tower plant,DNI Forecasting,System Advisor Model,Gemasolar (Spain),Power Output prediction
更新于2025-09-19 17:15:36