Feasibility study of using renewable energy for remote electrical demand considering climatic conditions and resources uncertainties; case study at Hamedan gas compressor station

نوع: Type: thesis

مقطع: Segment: masters

عنوان: Title: Feasibility study of using renewable energy for remote electrical demand considering climatic conditions and resources uncertainties; case study at Hamedan gas compressor station

ارائه دهنده: Provider: mohammad kouhi dastgerdi

اساتید راهنما: Supervisors: Dr saleh razini

اساتید مشاور: Advisory Professors:

اساتید ممتحن یا داور: Examining professors or referees: Dr Mohammad Hassan Moradi and Dr Mohamadmahdi Shahbazi

زمان و تاریخ ارائه: Time and date of presentation: 2022

مکان ارائه: Place of presentation: Seminar 2

چکیده: Abstract: The hybrid isolated energy system is an alternative solution to network development for sensitive loads remote load, which, in addition to strengthening passive defense, can prevent the cost of network development and reduce greenhouse gas emissions by increasing the share of renewable energy sources. Since these systems face high costs and uncertainty of renewable resources and demand, their optimal design and operation are necessary. By identifying all the factors affecting hybrid isolated energy systems, this study has dealt with the optimal design of these systems and investigated the effect of different factors on system design in the form of three case studies using Homer software. The first case study was done to design an hybrid isolated energy system for a gas pressure boosting station as a sensitive load and compared it with the development of the network from an economic and environmental point of view. Based on the results, the proposed system can provide sensitive loads with adequate reliability and effectively reduce carbon dioxide emissions. In this study, an index called cost balance distance was defined, which represents the distance between the load and the utility, where the cost of meeting the demand in the form of an hybrid isolated system is equal to the cost of the network development. In this study, the cost balance distance was found to be about 100 km, which means that the hybrid isolated has no economic justification for loads near than 100 km to the network, and it will be cost-effective for distances farther than that. Paying attention to the importance of passive defense, reforming the structure of the energy economy, and the growth of renewable technologies can help to devlope hybrid isolated systems. The second case study investigates the effect of the carbon tax on increasing the penetration of renewable resources in the grid in competitive conditions. The results of this case show that using appropriate policys such as carbon tax could supply competitive conditions for clean and renewable resources while reducing direct government costs by reducing carbon dioxide emissions from external and indirect costs of fossil resources harming the environment.We can mention the reform of the energy economy structure (elimination of energy subsidies, electricity market, etc.) and the growth of renewable technologies (more penetration of renewables, the stronger movement toward clean energy, etc.) Based on the first two cases, in the third case study, all the factors affecting the design of the optimal combined system were identified as 12 factors. The effect of each of these factors on the cost balance distance index was examined as a criterion for evaluating the competitiveness and justification of the hybrid isolated. In this study, more than 8000 scenarios were designed and simulated by combining different modes for the above twelve factors. Then, using different machine learning algorithms, the cost balance distance estimated. In these algorithms, the identy fied factors were used as input, and cost balance distance was used as the algorithm's output in the learning process. It can be concluded that an optimal model has been obtained according to the accuracy of the trained algorithms, so that the user can give the data to the trained model in order to find before paying enormous costs for the design of a hybrid isolated energy systems.

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