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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Beräkningsmodell för optimering av vätgaslager : Utformning och analys av beräkningsmodell för vätgasprojekt på ÅBRO bryggeri / Calculation model for optimization of hydrogen storage

Karlsson, Alice January 2022 (has links)
This work aims and is based on a desire by Euromekanik AB and PowerCell AB to design a calculation model for energy optimization and dimensioning of hydrogen storage. For this, a simulation tool has been created, which in this work is evaluated based on a project Euromekanik and PowerCell have with the brewery ÅBRO. ÅBRO requests the results of 10 trucks that are to be refueled with self-produced hydrogen, the hydrogen is also to be converted and support the own electricity consumption. The hydrogen system broadly consists of an electrolyser, fuel cell and hydrogen storage.  The questions that were asked and answered was: How should the components be dimensioned? How should the warehouse be dimensioned? Which scenario is the most energetically and financially profitable? What could further expansion of energy production look like? The scenarios were divided into three different ones with different sizes of electrolyser. After that, they were divided into a and b scenarios, which had different sizes of fuel cell. When the analysis was completed, the two best scenarios with the optimal storage size was selected, then an analysis is made of how the installation of a wind turbine would have worked in combination with these systems in comparison to expanding the solar cell plant. The result obtained is that the method part answers how a calculation model for energy optimization and dimensioning of hydrogen storage can look like. Scenario 2a with storage size of 1 ton is best from an economic and energy perspective. However, if energy production were to be expanded further, scenario 3a with a storage size of 1.5 tones would be best from an energy perspective.
2

Hydrogen Production and Storage Optimization based on Technical and Financial Conditions : A study of hydrogen strategies focusing on demand and integration of wind power. / Optimering av vätgasproduktion och lagring utifrån tekniska och ekonomiska förutsättningar : En studie av vätgasstrategier med fokus på efterfrågan och integration av vindkraft.

Langels, Hanna, Syrjä, Oskar January 2021 (has links)
There has recently been an increased interest in hydrogen, both as a solution for seasonal energy storage but also for implementations in various industries and as fuel for vehicles. The transition to a society less dependent on fossil fuels highlights the need for new solutions where hydrogen is predicted to play a key role. This project aims to investigate technical and economic outcomes of different strategies for production and storage of hydrogen based on hydrogen demand and source of electricity. This is done by simulating the operation of different systems over a year, mapping the storage level, the source of electricity, and calculating the levelized cost of hydrogen (LCOH). The study examines two main cases. The first case is a system integrated with offshore wind power for production of hydrogen to fuel the operations in the industrial port Gävle Hamn. The second case examines a system for independent refueling stations where two locations with different electricity prices and traffic flows are analyzed. Factors such as demand, electricity prices, and component costs are investigated through simulating cases as well as a sensitivity analysis. Future potential sources of income are also analyzed and discussed. The results show that using an alkaline electrolyzer (AEL) achieves the lowest LCOH while PEM electrolyzer is more flexible in its operation which enables the system to utilize more electricity from the offshore wind power. When the cost of wind electricity exceeds the average electricity price on the grid, a higher share of wind electricity relative to electricity from the grid being utilized in the production results in a higher LCOH. The optimal design of the storage depends on the demand, where using vessels above ground is the most beneficial option for smaller systems and larger systems benefit financially from using a lined rock cavern (LRC). Hence, the optimal design of a system depends on the demand, electricity source, and ultimately on the purpose of the system. The results show great potential for future implementation of hydrogen systems integrated with wind power. Considering the increased share of wind electricity in the energy system and the expected growth of the hydrogen market, these are results worth acknowledging in future projects.

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