Whether the Darrieus Rotor with Straight-Blades or Curved-blades is the Best, in Terms of Aerodynamic EfficiencyAbusannuga, Hashem; Özkaymak, Mehmet
doi: 10.1088/1755-1315/1046/1/012009pmid: N/A
An essential part of any wind turbine system is the rotor because it is the component that is in direct contact with wind and converts its kinetic energy into mechanical power. Then, it can either use this mechanical power directly to run some machinery, or you can use it to run an electricity generator and get electricity. One such turbine which is ideal for small-scale applications is the Darrieus wind turbine. This turbine has two blade configurations, straight or curved. This study aims to figure out the influences of these two blade configurations on the aerodynamic performance of the wind turbine. The engineering geometric shape of a parabolic Darrieus rotor was selected with certain dimensions, in this study it called P-D, and then a straight blade Darrieus rotor was extracted from it, in this study it called S-D1, similar to that of a parabolic in terms of rotor diameter and rotor height values, number of blades, blade section length and its type. Thus, a geometric similarity was obtained between the two rotors in terms of height to diameter ratio value and solidity value. Another rotor called S-D2 was also extracted and it is similar to P-D in terms of blade length, which means that the parabolic blade is straightened. There is also a similarity in solidity, and therefore it can be said that the masses of the rotors P-D and S-D2 are equal. This is the methodology that was followed to make the comparison in terms of aerodynamic. This analysis is done by developing a computer program that is based on mathematical model called multi-stream tube which modified to apply on both configurations of Darrieus turbine. The straight-bladed configuration is the best, according to this study.
Peer Review Statementdoi: 10.1088/1755-1315/1046/1/011002pmid: N/A
All papers published in this volume have been reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing.• Type of peer review: Double Anonymous• Conference submission management system: http://confsys.iconf.org/submission/icfee2022• Number of submissions received: 27• Number of submissions sent for review: 27• Number of submissions accepted: 11• Acceptance Rate (Submissions Accepted / Submissions Received × 100): 40.7• Average number of reviews per paper: 2• Total number of reviewers involved: 19• Contact person for queries:Name: Yulong ZhouEmail: [email protected]: Zhejiang University, China
Feasibility of Using Tabagwang Waste Shells as Catalyst in the Production of Biodiesel from Yellow GreaseColumbres, Kim V.; Pasion, Junel S.; Salvador, John Paulo P.; Calaycay, John Patrick T.; Ulit, John Carlo G.; Caranto, Cristina M.; Retumban, Joseph D.
doi: 10.1088/1755-1315/1046/1/012008pmid: N/A
Heterogeneous catalytic transesterification of yellow grease, commonly known as used cooking oil, utilizing the calcium oxide derived from waste shells of Jagora asperata, locally known as tabagwang, was carried out to produce biodiesel. Waste tabagwang shells were prepared and calcined at 900°C for 4 hours under static air to obtain CaO. The prepared CaO was used as a catalyst in the transesterification of used cooking oil. Reaction conditions such as temperature (45°C and 60°C), catalyst loading (2% and 10%), and methanol-to-oil molar ratio (6:1 and 9:1) were considered to evaluate the feasibility of the catalyst in terms of percent yield. For the given set of parameters, the largest yield of 4.85 mL biodiesel, corresponding to 9.70%, was obtained at temperature of 45°C, catalyst loading of 2%, and methanol-to-oil ratio of 9:1. Using a two-level factorial design, an optimum yield of 10.06% was calculated with the following conditions: temperature, 47.06°C; catalyst loading, 2.03%; methanol-to-oil molar ratio, 8.93:1.
Research on Prediction of Solar Power Considering the Methods of Statistical and Machine Learning – Based on the Data of Australian Solar Power MarketZhao, Puyang; Tian, Wei
doi: 10.1088/1755-1315/1046/1/012006pmid: N/A
In this paper, we use the methods of machine learning and traditional time series to predict solar power generation, which is based on the Australia Market Data. In the paper, we analyze Ausgrid's Solar by using long and short-term memory (LSTM) methods and time series models (multiple regression models with related errors) to accurately estimate the parameters of photovoltaic (PV) array models, which is using the data of household electricity consumption from July 1, 2010, to June 30, 2013. The results show that the regression model with correlated errors is better than the machine learning-based LSTM algorithm, which is based on the differential MSE performance. The final prediction accuracy rate is as high as 98%, so the regression model can accurately predict solar power generation.
Emissions from Road Transport Vehicles and Respiratory Health in Rural and Urban Communities, Kano State, Nigeria: A Comparative Cross Sectional StudySadiq, Aishatu A; Trunfio-Sfarghiu, Ana-Maria; Salam, Samson P; Faruk, Aisha; Khardi, Salah
doi: 10.1088/1755-1315/1046/1/012001pmid: N/A
Rapid urbanization and population migration encountered in developing countries results in an increasing need for transportation. To investigate the impact of vehicular emissions on air pollution/quality and respiratory health we conducted a comparative 2:1 cross-sectional study in rural and urban communities, 150 adult respondents and 30 children comprised the study population. Structured interviewer administered questionnaires; Clinical respiratory examination and digital Spirometry were conducted. Informed consent was obtained; data were analyzed using Epi info statistical software version 7. Results showed Mean age: (36.3± 12.9 years), Linear height: (median 1.65, range: 1.40 – 1.86). Adult Male: female ratio 1:1. Average Distance of households to roads/highway: 36.03±23.79 meters and prevalent duration of daily transit 2- 5 hours. In urban settlements: distance to highway/road <50 meters (OR 32.4, 95% CI: 8.57- 122.3) and Non-use of protective devices (OR: 12.43, 95% CI: 2.60-59.34) showed significant associations. Twenty two (22) Spirometry results were within the obstructive index. Abnormalities detected on Spirometry in the absence of a history of respiratory conditions or abnormalities on clinical chest examination require further investigation. Recommendations were targeted to improve health education, provide sustainable mass transit, urban planning, support focused research and ensure effective emissions control.
Occurrence of Cosmetic Ingredients as an Anthropogenic Threat to the Seas and OceansŁobos-Moysa, E; Kudlek, E; Felis, E
doi: 10.1088/1755-1315/1046/1/012004pmid: N/A
Anthropogenic pollutants get into the environment not only with untreated sewage but can also migrate with treated municipal sewage. Examples of such contaminants are UV filters (BP-3, EHS, EHMC, OC), synthetic volatile fragrances (AHTN, HHCB), and microplastics. In the case of these pollutants, it is necessary to intensify the treatment of municipal wastewater and introduce pre-treatment or additional wastewater treatment; constant monitoring of concentrations in surface and marine waters, sediments, and tissues of aquatic organisms; assessment of transformations and interactions with other pollutants in seawater and assessment of changes in conditions unfavorable for their degradation. The seas and oceans are the dumps where these pollutants eventually get it.
Comparison of Bio- and Ferric Leaching for Beneficiation of Bulk Copper-Nickel Sulfidic ConcentratePanyushkina, A E; Fomchenko, N V; Muravyov, M I
doi: 10.1088/1755-1315/1046/1/012005pmid: N/A
Processing of sulfidic raw materials, including bulk concentrates of nonferrous metals, is a problem of current importance in metallurgy and waste recycling. In this study, leaching with a chemical ferric iron reagent was compared to two bio-approaches to process a bulk copper-nickel concentrate: (1) ferric leaching with a solution obtained by microbial oxidation and (2) stirred-tank bioleaching using an active acidophilic microbial community. The results of both the chemical and bio-processes indicated nickel dissolution, while copper was accumulated in leach residues. After short-term high-temperature leaching with the chemical or bio- solution (Fe3+, 10 g/L), the nickel content in solids decreased by 0.7 and 2.6%, respectively, while the copper content slightly increased (by 1.5–3.2%). Bioleaching at 40°C was characterized by a considerably higher efficacy of the process: nickel leaching reached 86.7%, and the copper content increased by ~5% in the bioleach residue. Based on these results, ferric leaching can be considered an inefficient method for selective nickel removal, while bioleaching may be a promising cost-effective approach characterized by relatively low environmental hazards to obtain a high-grade copper product. Moreover, ferric leaching with the bio-solution can improve the grade of monometallic sulfidic concentrates due to additional selective nickel extraction.
A Literature Review of the Kalina Cycle and TrendsDela Cruz, Graciano Emmanuelito E.; Manuel, Mark Christian E.
doi: 10.1088/1755-1315/1046/1/012011pmid: N/A
The demand for electricity and power has been increasing with the increase of the population of the world. The Covid-19 Pandemic has affected the way of life of human beings starting last year. The pandemic and economic downturn also affected the electricity demand of the world, but this is only short-term. Once the lockdowns around the world ease and back to normal situation begin, demand for power and electricity shall continue to grow. The century-old Rankine cycle has been the basis for power plants widely used today. However, a modified Rankine cycle known as the Kalina cycle has been proving more efficient than the standard Rankine cycle and might be able to provide the additional power needed in medium and low-temperature sources and waste heat recovery. This paper look into the development of the Kalina cycle and the trends that might be of use for the global electricity requirement.
Radiological Impact of Building Material: Characterization of a Village Entirely Built out of Stone in Tuscany, ItalyVerde, Giuseppe La; Artiola, Valeria; Raulo, Adelaide; D’Avino, Vittoria; Paternoster, Giovanni; Roca, Vincenzo; Commara, Marco La; Pugliese, Mariagabriella
doi: 10.1088/1755-1315/1046/1/012002pmid: N/A
Tuscany, with its mixed geology, offers a great variety of stones that are used to build entire villages. In this paper, two of these building materials are considered: Rosso Ammonitco and Pietra Serena. In particular, the activity concentration of 226Ra, 232Th and 40K have been analysed in order to estimate the value of the gamma index. In addition to this, the X-ray fluorescence spectroscopy has been carried out to obtain a chemical characterization of the stones. Although these kind of stones are not subjected to radiological characterization, the approach used was the one reported in Radiation Protection 112, also implemented in the Italian Legislative Decree 101/2020, because of their lithographical peculiarity and their employment in construction.