Percorrer por autor "Savosh, Larysa"
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- Decommissioned wind turbine blades: a pedagogical project on the uses of the raw materialPublication . Ribeiro, Luís Frölén; Ribeiro, J.E.; Costa, Carlos Casimiro da; Savosh, LarysaThe incorporation of new technical challenges created by the increase of the wind power industry in the world and how they were integrated into a MSc Course of Mechanical Engineering is addressed in this article.
- Harnessing geothermal energy in kazakhstan: techno-economic assessment of organic rankine cycle application in the almaty regionPublication . Abdlakhatova, Nazym; Ribeiro, Luís Frölén; Savosh, Larysa; Orynbayev, Seitzhan; Tokmoldayev, Amanzhol; Zhussip, TalgatThis study assesses the feasibility of geothermal electricity generation in Kazakhstan using Organic Rankine Cycle (ORC) systems to exploit low-to medium-temperature geothermal resources. ORC systems efficiently convert heat from moderate-temperature sources into electricity using organic fluids with boiling points lower than that of water. Globally, ORC systems contribute over 3 GW of installed capacity, accounting for 25.1 % of geothermal power production. Kazakhstan's electricity generation rose from 85.3 TWh in 2013 to 98.4 TWh in 2023, with associated COQ emissions increasing from 67.4 to 77.0 million tonnes. Despite known geothermal reserves, the country has not yet developed geothermal power capacity. This study identifies the geothermal potential of the Mangystau-Ustyurt and Almaty Artesian basins, with a focus on the Zharkent field. Among the wells evaluated, Well 5539, with a wellhead temperature of 103 degrees C, is estimated to generate 5.467 TWh of electricity annually, accounting for 51.9 % of the regional potential. Wells 1-RT and 2-TP also show strong promise, with annual outputs of 2.471 and 2.598 TWh, respectively. Thermal power availability ranges from 5.1 to 8.3 MW, and the combined yearly potential of 10.5 TWh could offset 82.1 % of the Almaty region's electricity deficit and avoid 5.47 million tonnes of COQ emissions annually. The methodology includes thermodynamic modelling and well data analysis to estimate geothermal electricity potential. This study represents the first assessment of ORC-based geothermal power in Kazakhstan for low-temperature wells in a specific region.
- Heat pump dryer design optimization algorithmPublication . Andrade, Bernardo Campos; Amorim, Ighor Matheus Marques; Silva, Michel; Savosh, Larysa; Ribeiro, Luís FrölénDrying food involves complex physical atmospheric mechanisms with non-linear relations from the air-food interactions, and those relations are strongly dependent on the moisture contents and the type of food. Such dependence makes it complex to design suitable dryers dedicated to a single drying process. To streamline the design of a novel compact food-drying machine, a heat pump dryer component design optimization algorithm was developed as a subprogram of a Computer Aided Engineering tool. The algorithm requires inputting food and air properties, the volume of the drying container, and the technical specifications of the heat pump off-the-shelf components. The heat required to dehumidify the food supplied by the heat exchange process from condenser to evaporator, and the compressor’s requirements (refrigerant mass flow rate and operating pressures) are then calculated. Compressors can then be selected based on the volume and type of food to be dried. The algorithm is shown via a flow chart to guide the user through three different stages: Changes in drying air properties, heat flow within dryer and product moisture content. Example results of how different compressors are selected for different types of produces and quantities (Agaricus blazei mushroom with three different moisture contents or fish from Thunnini tribe) conclude this article.