bluuebunny/crossref_metadata_2025 huggingface dataset:
989-P: Glycaemic Control, Hypoglycaemia Unawareness, and Diabetes-Related Distress in Middle-Old (75 to 85 Years), and Old-Old (>85) before and after Flash Glucose Monitoring in People Living with Diabetes—Association of British Clinical Diabetologist Study
Authors: DESHMUKH HARSHAL , WILMOT EMMA G. , WALTON CHRISTOPHER , RYDER ROBERT E. , SATHYAPALAN THOZHUKAT
Published: June 2023

Introduction: There are limited data on the effect of intermittently scanned flash glucose monitoring (isCGM) on glycaemic control, hypoglycaemia unawareness and diabetes-related distress in middle-old (75 to 85 years) and old-old (≥85) people living with diabetes

Methods: Clinicians were invited to submit isCGM data to a secure web-based tool held within the National Health services N3 network. We collected baseline data before FSL initiation, such as patient demographics, glycated haemoglobin (HbA1c) values from the previous 12 months, Gold score and Diabetes Distress Screening scale (DDS2) score. We compared the baseline clinical characteristics across the age categories using a t-test. All the analyses were done in R 4.1.2.

Results: The study consisted of 16997 people with Type 1 diabetes with baseline and follow-up data, of which 342 were classified as middle-old, and 50 were classified as old-old (94% T1D). The use of isCGM was associated with significant improvement in Gold score in both middle-old (3.54 at baseline vs 3.02 at follow-up, P=0.04) and old-old populations (4.04 at baseline vs 2.72 at follow-up, P=0.01). The use of isCGM was also associated with significant improvement in DDS2 scores in both middle-old (2.53 at baseline vs 2.02 at follow-up, P<0.001) and old-old populations (2.40 at baseline vs 1.73 at follow-up, P<0.01). However, there was no significant effect of isCGM on glycaemic control in middle-old (64.2 mmol/mol at baseline vs 65.2 mmol/mol at follow-up, P=0.45) and old-old populations (60.3 mmol/mol at baseline vs 66.6 mmol/mol at follow-up, P=0.05).

Conclusion: The use of isCGM was associated with significant improvement in diabetes-related distress and hypoglycaemia unawareness in middle-old and old-old people living with diabetes but did not affect glycaemic control in this population.

Disclosure

H.Deshmukh: None. E.G.Wilmot: Advisory Panel; Abbott Diabetes, Dexcom, Inc., Eli Lilly and Company, Insulet Corporation, Medtronic, Novo Nordisk, Sanofi, Roche Diabetes Care, Embecta, Consultant; Springer Healthcare, Research Support; Abbott Diabetes, Diabetes UK, Insulet Corporation, Novo Nordisk, NIH - National Institutes of Health, Speaker's Bureau; Abbott Diabetes, Dexcom, Inc., Eli Lilly and Company, Insulet Corporation, Medtronic, Novo Nordisk, Sanofi, Ypsomed AG, Glooko, Inc. C.Walton: None. R.E.Ryder: Other Relationship; Novo Nordisk, Speaker's Bureau; GI Dynamics, BioQuest. T.Sathyapalan: Other Relationship; Novo Nordisk, Abbott Diabetes, Research Support; Abbott Diabetes, Novo Nordisk, Eli Lilly and Company.
999-P: Cost-Effectiveness of MiniMed 780G Therapy Compared with Multiple Daily Injections (MDI) with Intermittently Scanned Continuous Glucose Monitoring (isCGM) in People with Type 1 Diabetes (T1D)—A United States Perspective
Authors: KOMMAREDDI MALLIKA , WHERRY KAEL
Published: June 2023

Objective: A simulation study assessed cost-effectiveness of the MiniMed 780G (MM780G) system compared to MDI paired with isCGM devices in people with T1D.

Methods: The IQVIA Core Diabetes Model was used to estimate complications, costs, and quality of life over patients’ lifetimes. Demographic and clinical characteristics were sourced from a 6-month randomized controlled trial (ClinicalTrials.gov, NCT04235504). The cohort had a mean±SD age of 41.5±11.6 years, was 46% male, and had an A1C of 9.0%±0.97% at baseline. The MM780G reduced A1C by 1.5±0.7% after 6 months, compared to a 0.2±0.8% reduction by MDI + isCGM. Rates of hypoglycemia and diabetic ketoacidosis were taken from the literature for the MDI + isCGM group and were assumed to be 50% lower in MM780G patients. Probabilistic sensitivity and scenario analyses were conducted to assess the impact of parameter uncertainty and model assumptions.

Results: Results from the base case indicate that MM780G was associated with increased quality-adjusted life expectancy (QALE) compared to MDI + isCGM (10.75±0.14 years for MM780G vs. 9.61±0.12 for MDI + isCGM), as well as increased costs ($544,509 ± $17,464 for MM780G vs. $438,551 ± $16,307 for MDI + isCGM). The incremental cost-effectiveness ratio (ICER) in the base case was $93,595 per QALE. The probabilistic sensitivity analysis indicates a 96.6% probability that MM780G is cost-effective compared to MDI + isCGM in T1D at a willingness-to-pay (WTP) threshold of $150,000 per QALE. The scenario, assuming a 25% treatment effect for hypoglycemia and diabetic ketoacidosis, found that MM780G was associated with an ICER of $128,990 per QALE, and a 70.5% probability of cost-effectiveness compared to MDI + isCGM at a WTP threshold of $150,000.

Conclusions: At a WTP threshold of $150,000, MM780G is cost-effective in T1D compared to MDI + isCGM.

Disclosure

M.Kommareddi: Employee; Medtronic. K.Wherry: Employee; Medtronic, Stock/Shareholder; Medtronic.
Short term treatment of secondary lymphedema with hyaluronidase injections reduces mouse hindlimb lymphedema
Authors: Dalaei Farima , Bucan Amar , Wiinholt Alexander , Jørgensen Mads Gustaf , Hansen Christian Rønn , Baun Christina , Hvidsten Svend , Hejbøl Eva Kildall , Schrøder Henrik Daa , Sørensen Jens Ahm
Published: June 2023

Lymphedema is a common complication following breast cancer treatment with axillary lymphadenectomy and radiotherapy. Currently, there is no curative treatment for this disease, hence there is a need for new therapeutic suggestions. The aim of this study was to investigate the effect of hyaluronidase (HYAL) injections after inducing hindlimb lymphedema in 36 female C57BL/6 mice. HYAL injections were administered every second day for 14 days in three groups: (1) HYAL for 1 week followed by saline for 1 week, (2) HYAL for 2 weeks, and (3) saline injections for 2 weeks. Volume of the lymphedema limb was weekly assessed with micro-computed tomography (μ-CT) scans for a total course of 6 weeks. Lymph vessel morphometry was assessed in the end of the study after staining cross-sections of the hindlimb for anti-LYVE-1 blindly. Lymphatic function was assessed by lymphoscintigraphy to assess lymphatic clearance. There was a significant reduction of the volume of lymphedema in mice treated with HYAL-7 compared with mice treated with HYAL-14 (p < 0.05) and saline (p < 0.05). No differences were detected in lymph vessel morphometry and the lymphoscintigraphy between groups. Short-term treatment with HYAL-7 might be a potential therapeutic suggestion for secondary lymphedema induced in mouse hindlimbs. In the future, clinical studies are needed to investigate the potential of HYAL treatment in human beings.
CHARACTERISTICS OF HOLIDAY VILLAGES IN ROMANIA – TOURISM AND TERRITORIAL IDENTITY ORIENTED APPROACHES
Authors:   ", RĂCĂŞAN Bianca Sorina ,   Babeş-Bolyai University, Cluj-Napoca, Faculty of Geography, Department of Human Geography and Tourism, and Territorial Identities and Development Research Centre, ROMANIA", EGRESI István ,   Babeş-Bolyai University, Cluj-Napoca, Faculty of Geography, Department of Human Geography and Tourism, ROMANIA, DEZSI Ștefan ,   Babeş-Bolyai University, Cluj-Napoca, Faculty of Geography, Department of Human Geography and Tourism, ROMANIA
Published: June 2023

The concept of “holiday village” has recently turned fifty. Holiday villages are found in non-urban areas, rich in nature-based and human-made resources. By implementing the planning principles of this type of accommodation, Romania has also developed its tourism supply over the past years, currently providing twelve holiday villages which are spread throughout the country. The purpose of this study is to provide an overview of these holiday villages both from a tourism analysis perspective and in relationship with territorial identity. In order to achieve this goal, a series of quantitative and qualitative methods were employed, starting with the analysis of statistical databases in parallel with the review of bibliographic materials, and the observation and analysis of the official websites of these accommodation structures, respectively. It turned out that three counties (Brașov, Suceava and Tulcea) hosted 50% of the existing holiday villages in Romania, confirming once again the importance of local tourism potential derived from geographic location and cultural heritage. Based on various tourist needs and preferences, a wide range of activities and services both basic (accommodation and catering) and additional ones (entertainment and leisure, business, etc.), which became available for different groups of guests were also identified. Eventually, a multicriterial analysis, including aspects related to architectural elements, landscape integration and links to local or regional traditional values highlighted five levels of authenticity according to which almost half of the examined units established a stronger connection with the territorial identity of the geographical-historical regions, which hosted these establishments.
FROM THE ACTIVITIES OF THE FEMALE ELITE IN OLTENIA (THE END OF THE 19th CENTURY, THE FIRST HALF OF THE 20th CENTURY)
Authors:   C.S. Nicolăescu-Plopşor Institute of Socio-Humanistic Research, Craiova, Dolj County, ROMANIA, GHIONEA Georgeta
Published: June 2023

Social life and fashion have not been the woman’s only concerns at the end of the 19th and the late 20th century. Their contribution to modern society changes, by taking on new duties and liabilities will have a specific means of expression and for a better understanding of the activities they carried out it requires an overview, even a brief one over a few Oltenian women from the above-mentioned period. Seen only as a wife and mother, the woman makes her way into society being concerned with her own education, she takes part in financing arts and not only, and she engages in harnessing traditional clothing and crafts.
Color Coded Health Data: Factors related to willingness to share health information in South Asian community members in Canada
Authors: Naeem Iffat , Aroua Meriem , Chowdhury Nashit , Saini Vineet , Quan Hude , Turin Tanvir C
Published: June 2023

IntroductionData unavailability poses multiple challenges in many health fields, especially within ethnic subgroups in Canada, who may be hesitant to share their health data with researchers. Since health information availability is controlled by the participant, it is important to understand the willingness to share health information by an ethnic population to increase data availability within ethnocultural communities.
MethodsWe employed a qualitative descriptive approach to better understand willingness to share health information by South Asian participants and operated through a lens that considered the cultural and sociodemographic aspect of ethnocultural communities. A total of 22 in-depth interviews were conducted between March and July 2020.
ResultsThe results of this study show that health researchers should aim to develop a mutually beneficial information-sharing partnership with communities, with an emphasis on the ethnocultural and socio-ecological aspects of health within populations.
ConclusionThe findings support the need for culturally sensitive and respectful engagement with the community, ethically sound research practices that make participants feel comfortable in sharing their information, and an easy sharing process to share health information feasibly.
PENGARUH MEDIA GAMBAR KOMIK TERHADAP KETERAMPILAN MENULIS KARANGAN SEDERHANA PADA SISWA KELAS III DI SDN KREMBUNG 1
Authors: Syafa Tasya Azzahro Nihaya , Wati Tri Linggo
Published: June 2023

Tujuan dari pendidikan pada Sekolah Dasar yaitu dengan adanya pelajaran Bahasa Indonesia. Pada kemampuan siswa dalam menyusun suatu cerita karangan yang sederhana terbilang rendah, serta kurangnya pengetahuan siswa tentang menulis karangan sederhana. Media pembelajaran yang digunakan dalam pembelajaran cenderung sederhana (Konvensional). Sehingga nilai rata-rata yang di dapat oleh siswa banyak dibawah nilai kritria ketuntasan. Dengan begitu, peneliti melakukan suatu penelitian yang menggunakan media gambar komik terhadapat keterampilan menulis karangan sederhana pada siswa kelas III di SDN Krembung 1. Jenis metode dalam penelitian ini adalah bentuk penelitian kuantitatif experiment, dengan desain penelitian One-Group Pretest-Posttest Design. Menggunakan 30 orang siswa sebagai sampel. Nilai rata-rata pretes siswa adalah 51,00 sedangkan nilai rata-rata posttest siswa adalah 76,17. Dengan begitu dapat dilihat selisih perbandingan nilai rata-rata antara pretest dan posttest adalah dengan nilai sebesar 25,17. Pada hasil Uji Paired Sampels T Test yang menunjukkan bahwa dilihat dari sig. (2-tailed) adalah 0,000 dengan begitu bahwa p value (0,000<0,05). Maka dapat diketahui jika p value <0,05 maka H0 ditolak dan Ha diterima. Sehingga dapat disimpulkan bahwa terdapat pengaruh dalam menggunakan media gambar komik terhadap keterampilan menulis karangan sederhana.
PENGEMBANGAN BUKU SAKU BERBASIS MIND MAPPING PADA PEMBELAJARAN IPA KELAS IV SD
Authors: Wati Sulistyo Rahayu , Margaretta Allen , Ayurachmawati Puji
Published: June 2023

This research aims to produce a pocket book development product based on mind mapping in science learning that meets valid, practical and effective criteria. This study uses research and development (research and development). The development model in this study refers to the ADDIE model which consists of analyze, design, development, implementation, evaluation stages. The subject of this research was class IV of SD Negeri 9 Rambang Niru. The research data was obtained from a questionnaire validating student responses and student tests. The results of the study were based on an expert validation questionnaire which assessed in terms of media appearance, material and language as a whole obtaining a percentage of 89.6% in the very valid category and suitable for use at the trial stage. The results of the One To One questionnaire totaling 3 students obtained a percentage score of 97.9% in the very practical category for the results of the Small Group questionnaire totaling 8 students with a percentage result of 87% in the very practical category. Effective results were obtained by testing to obtain a percentage of 87% with a very effective category for use. Based on the results of the development carried out by researchers with the title development of a mind mapping-based pocket book in science learning class IV, it can be concluded that it meets valid, practical and effective criteria.
A Retrospective Assessment of Male Sexual Dysfunction in COVID-19 Infected Patients: A Witness in Kolkata, India
Authors: Chatterjee Rajendra Prasad , Chatterjee Shilpa , Pal Suranjan , Das Biswajit , Mitra Nilanjana , Ghosh Reena Ray
Published: June 2023

The psychological conditions of healthcare professionals deteriorate during the COVID-19 outbreak, which is effective worldwide. Sexual activity is a natural part of human existence and its effectiveness is recognized as a key indicator of good health and quality of life. In this study, we aimed to analyze the influence of COVID-19 on sexual activity in four recovered male patients. These males showed deterioration in all elements of sexual function. To the best of our knowledge, this is the first study that we are reporting from Kolkata, India, that used validated assessment to document sexual functioning in males following post-COVID-19 illness.
Implementasi Manajemen Sumber Daya Manusia Digital Pada UMKM Studi Kasus di Kemari Coffee
Authors: Trikurnian Aloysius
Published: June 2023

The Covid-19 pandemic cannot be told as it’s over, life is still going on. People need to adapt with new life habit especially Usaha Mikro Kecil dan Menengah (UMKM) where it needs to be experiential seriously by all of the people in supporting national economy in Indonesia. One of the most important adaptation processes done by UMKM is the human resource management by digitalization program to make more efficient and relevant in the future. Digitalization study implementation in UMKM will be the most important thing to do soon. In that case, this research analyzed digital human resource management implementation in UMKM with case study in Kemari Coffee. Descriptive qualitative method is used in this research to clarify the concept of digital human resource management that has applied in UMKM Kemari Coffee. The journal concluded that Kemari Coffee has not applied digital human resource management overall. Part of digital human resource management that already has applied namely E-Recruiment & Selection, E-Selection & Induction, and E-Reward & Compensation Management, meanwhile those haven’t applied namely E-Performance Appraisal, E-Training & Development, and E-Learning & Talent Management.
Technology S-curves in wind energy: a comparative analysis
Authors: Fernando Estévez García  , Jeanne-Marie Dalbavie
Published: June 2023

The use of a mathematical tool such as the logistic curve to analyze the performance of wind energy and public investment in R&D by different countries throughout the history of the technology has allowed this study to draw conclusions on how the different countries studied have dealt with the problem of technological obsolescence.
Stabilizing multimachine power systems with fuzzy logic using artificial bee colonies
Authors: Waleed M. Hamanah  , Abdullah Baraean  , A. Hussein  , Mohammad A. Abido
Published: June 2023

Over the past few years, fuzzy logic systems have gained popularity due to their superiority over classical controllers when it comes to enhancing the transient stability of power systems. In this paper, a Fuzzy Logic Power System Stabilizer (FLPSS) is designed to damp local and inter-area oscillations following disturbances through the use of an Artificial Bee Colony Optimization Algorithm (ABC). The designed FLPSS is expected to significantly increase the robustness of power systems and ultimately improve the quality of power supply to end-users. This test system consists of two areas with four machines and eleven buses, with the purpose of evaluating the performance of the ABC-FLPSS under a variety of disturbances and loads. In order to optimize the scaling factors of FLPSSs, the Integral Squared Error (ISE) of rotor speed deviation is formulated as an objective function. Evaluation of the proposed controller involves simulating the test system under different conditions. These conditions range from small perturbations, such as changes in one of the system parameters, to large changes, such as removing a main transmission line, to determine its effectiveness. A comparison of ABC-FLPSS with FLPSS and Conventional Power System Stabilizer (CPSS) shows that the ABC-FLPSS controller is superior to FLPSS and CPSS.
Protection of MVDC grids for the production of green hydrogen
Authors: D.M. Larruskain  , P. Eguia  , E. Torres  , V. Valverde  , A. Blazquez
Published: June 2023

Green hydrogen production from renewable energy sources has a big potential to reduce energy dependence on fossil fuel, contributing to the global goal set by the international community of net zero emissions by 2050. Electrolyzers are connected to grid with power stages that can be designed as active devices with high control capability and a remarkably fast operation. Nevertheless, in the present, they must overcome some challenges in order to ensure a reliable operation. This paper addresses the concept of protection of DC grids with electrolyzers fed from renewable energy sources. The topologies of the grid are discussed as well as protection features and fault clearing strategies. A new dynamic model for multi megawatt PEM electrolyzer is introduced. Finally, a case study with a PEM electrolyzer in a MVDC system is included.
Multivariate analysis of CO2 emissions by energy generation in IEA member countries
Authors: Tuany Esthefany Barcellos de Carvalho Silva  , Daiane Rodrigues dos Santos  , Reinaldo Castro Souza
Published: June 2023

The concentration of carbon dioxide (CO2), the main catalyst for global warming, reached an average of 414.7 parts per million in 2021 and 2.3 ppm more than in 2020. This theme is significant and has gained space in global discussions. This research aimed to deal with and analyze essential points in this discussion. With the study, it was possible to point out evidence that Brazil is a country that has been significantly reducing its CO2 emissions, being in the cluster along with IEA member countries that least issue CO2 . With this article, it was possible to point out similar characteristics between the CO2 emissions of the countries, making it possible to highlight three latent variables: countries that have a constant tall or low trend in CO2 emissions, Grouping of countries that showed an upward trend at the beginning of the analyzed period, but with a significant reduction CO2 over time, and countries that have had more discrepant behavior from the others, these being the countries that have a structural breakdown in their time series of CO2 emissions by power generation.
Analysis of Synthetic Inertia Applied to Wind Farms
Authors: F. Mendes  , F. A. Moura  , M. R. M. Albertini  , M. V. Mendonça  , A. J. Rosentino  , D. B. Rodrigues  , R. Rimoldi de Lima  , C. Bernardelli  , P. H. Rezende  , G. Lima  , J. O. Rezende
Published: June 2023

This work aims to understand and analyze how synthetic inertia influences in the Brazilian electrical system. With the increase of renewable sources, mainly with the increasing advancement in distributed generation, largely due to the increase in photovoltaic energy and also by wind power plants, both being controlled by electronic converters, the kinetic energy has decreased, thus causing instability in the system, when there is a failure of some bar, for example. For this reason, the study aims to study the synthetic inertia extracted through the blades of wind generators, analyzing the influence caused on the 14 bus system, applied to the SIN.
Consumption Prediction and Evaluation of Harmonic Distortion in a Hospital using Neural Networks
Authors: N. Tolentino  , D. Borges  , M. R. Albertini  , L. P. Pires  , F. A. Moura  , M. V. Mendonça  , A. J. Rosentino  , D. Rodrigues  , R. Rimoldi de Lima  , P. H. Rezende  , G. Lima  , J. O. Rezende
Published: June 2023

This article aims to present a proposal for a methodology to analyze the energy efficiency of a hospital according to the current consumption obtained through field measurements. In addition, it aims to present the prediction of the increase in consumption over the years and correlate it with the possible increase in the harmonic distortion of stress. This analysis is essential for the studies of the connection impacts, allowing the estimation and evaluation of the energy quality through the harmonic voltage distortions over the years. The study is validated by comparing the consumption prediction curve obtained by Neural Network training with the data extracted from measurements and analysis of energy bills. The results show that the model generates the best prediction performance.
Micro Phasor Measurement Units: a Review from the Prosumer Point of View
Authors: F. Ciancetta  , A. Fioravanti  , E. Fiorucci  , Simone Mari  , A. Prudenzi  , A. Silvestri
Published: June 2023

In recent years, power grid infrastructure has moved from a centralized power generation model to a paradigm in which generation capacity is distributed across an increasing number of small power plants that rely on renewable energy sources. Systems for emerging distribution systems need a very new protection paradigm, architecture and philosophy making use of new protection devices and sensors such as digital relays, phasor measurement units (PMUs), smart reclosers and line sensors. This article examines the application of PMUs in smart distribution grids and from the point of view of prosumers.
Modeling and optimization of biogas production in a batch bioreactor
Authors: Tina Kegl  , Eloisa Torres-Jimenez
Published: June 2023

Ever  increasing  demands  for  renewable  energy sources  are  the  driving  force  for  the  development  of  waste management  technologies  such  as  anaerobic  digestion  (AD) technology. For AD process understanding and optimization the numerical  simulations  provide  a  useful  tool.  Therefore,  in  this work,  the  main  attention  is  focused  on  the  development  of  an efficient  and  stable  optimization  approach.  The  optimization procedure is coupled with a suitable mechanistically inspired self-developed   BioModel.   For   BioModel   calibration,   a   special procedure was developed which incorporates the used BioModel, a    sensitivity    analysis,    and    a    gradient-based    optimization algorithm.  The  results  of  numerical  simulation,  obtained  by  the AD  of  various  animal  manures  in  a  batch  lab-scale  bioreactor, confirm  the  reliability  of  BioModel  and  the  efficiency  of  the presented  calibration  procedure.  Furthermore,  the  results  of  AD process optimization show that the biogas quantity and quality as well  as  energy  used  up  for  bioreactor  heating  can  be  improved essentially  when  amount  of  added  bacteria,  temperature  and  pH values are optimized properly.
Implementation and Testing of a Practical Product to Balance Single-Phase Loads in a Three-Phase System at the Distribution and Unit Levels
Authors: Moustapha El Hassan  , Maged Najjar  , Ramez Tohme  , Jihad Daba  , Rafic Ayoubi
Published: June 2023

The crucial worry in the production of electricity is to be certain that the quality of the supplied electricity meets requirements. Nowadays, and with the development of technology, there are new energy sources that can add stress to the network such as renewable energy. Being supplied with high electrical quality is a must. One of the basic methods that are recommended to be introduced to the networks is to deal with load balancing at low voltage. Load reconfiguration is one of the best solutions that can be applied to reach balance. The main focus of this paper is to find the optimal consumer load rearrangement at the installation level. These changes are made to maintain the balance between the phases, to reduce the number of electricity bills, and to reduce the fuel consumption that affects the environment negatively. Certain constraints and equations are needed to optimize load distribution. Out of these constraints, an algorithm was made followed by an appropriate switching process to do the automatic balancing. This technique guarantees better results. The proposed process was tested on real data of the different types of loads with different profiles and in every single case, accepted results were obtained. To sum up, the main goal of this paper is to achieve the balancing of single-phase loads in a three-phase system. To make sure of the theoretical results, implementation was done at the University of Balamand’s laboratories using resistive loads and the physical results were always close to the theoretical outcomes.
Experimental and Numerical Investigation of Channeling Effects on Noise and Aerodynamic Performance of NACA 0012 Aerofoil in Wind Turbine Applications
Authors: Hussein K. Mohammad  , S. M. Jalil  , Arz Y. Qwam Alden  , Viktor Kilchyk  , Bade Shrestha
Published: June 2023

Wind power is considered one of the main sources of renewable energy in the market today. In this study, different sizes and directions of channels were created inside the NACA 0012 aerofoil, and the effect of these channels were investigated on aerodynamic noise and aerodynamic performance, experimentally and numerically. The results have shown several factors that could affect the aerodynamic noise such as flow velocity, angle of attack, and trailing edge blowing injection. The study also concluded an increase in drag coefficients and a decrease in lift coefficients for all channeled samples compared to the regular aerofoil. In contrast to the studies that showed improvements in the aerodynamic performance of supersonic channeled aerofoils, this study done under subsonic flow showed an increase in drag and decrease in lift.
Evaluation of XGBoost vs. other Machine Learning models for wind parameters identification
Authors:   Faculty of Computer Sciences, Complutense University, Madrid. Spain, García-Puente B. , Rodríguez-Hurtado A. ,   Faculty of Computer Sciences, Complutense University, Madrid. Spain, Santos M. ,   Institute of Knowledge Technology, Complutense University -Madrid. Spain, Sierra-García J.E. ,   Electromechanical Engineering Department, University of Burgos. Spain
Published: June 2023

Wind energy is one of the most promising renewable energies. But wind is a quite unstable resource due to its continuous variation and random nature. This uncertainty affects the production cost. Therefore, accurate forecasting of wind and energy is very interesting for energy markets. In this work, we test a recent and powerful intelligent technique, extreme gradient boosting (XGBoost), for wind prediction. The forecasting models of some wind features with XGBoost are compared with Support Vector Regression (SVR), Gaussian Process Regression (GPR) and Neural Networks (NN) models. Specifically, the three features predicted are the active power generated by the turbine, the wind speed, and the wind direction. The results conclude that these techniques are useful for wind and energy forecasting, with XGBoost being the most outstanding one, especially for short-term predictions.
Analytical Model of the Refrigeration System for Cooling in a Hygroscopic Cycle Power Plant
Authors: Roberto Martínez-Pérez  , Bernardo Peris-Pérez  , Juan Carlos Ríos-Fernández  , Juan M. González-Caballín  , Francisco Rubio-Serrano  , Antonio J. Gutiérrez Trashorras
Published: June 2023

The Hygroscopic Cycle is an innovative power cycle due to the significant energy and water consumption savings it allows. The cycle is currently in the improvement study phase. In this work, the refrigeration process of the cycle has been analyzed using dry-coolers and without the need to consume water, which confers a significant environmental and energy efficiency improvement of the process. The numerical study of the refrigeration of the Hygroscopic Cycle was carried out to improve its understanding and performance in order to obtain optimal results. A model of the equipment was first implemented using the Engineering Equation Solver software. Once modeled, the system was analyzed for different situations and working conditions and validated using the real data provided by the first power pilot plant that uses this cycle. That made it possible to design specific equipment that would respond to the needs of any installation that used the Hygroscopic Cycle.
Power management strategy for photovoltaic system with hybrid storage (Batteries/Supercapacitors)
Authors: Z. Mokrani  , D. Rekioua  , N. Mebarki  , A. Oubelaid  , K. Kakouche  , T.Rekioua
Published: June 2023

This paper is presented in regard to the interesting continuous interest attributed to photovoltaic energy systems (PESs). To this aim, a study of an isolated photovoltaic system with hybrid storage (HS) is presented. Supercapacitors (SCs) are typically used because of their high specific power density.. Combining batteries and supercapacitors is a solution to maximize their benefits. In this work, the HS is a combinaison of batteries and supercapacitors. The goal of this work is to build a new management algorithm. This aforementioned technique will ensure the control of energy flow between system power sources. Furthermore, it will regulate the charge/discharge cycles of the proposed HS by maintaining their state of charge (SOC) between a desired minimum and maximum values. The proposed method is simple, efficient and it is not computationally heavy. The obtained simulation results are satisfactory and show the interest and effectiveness of the proposed management strategy.
Modelling a Decarbonization Agenda for Bembibre’s Industrial Park
Authors: Mahamat Habib Bechir  , R. Ramos Alor-Rodriguez  , A. Lopez-Agüera
Published: June 2023

The design of the Sustainable Strategy Agenda for the Bembibre industrial zone in the Bierzo region employing the Open-Source Energy Modeling System (OSeMOSYS) is presented. This municipality, which has been affected by the collapse of the coal mining industry, is at the epicentre of the reindustrialization and Just Transition (none left behind) initiatives of the Spanish government. Among the challenges to be tackled are the zone's entire decarbonization by 2030, the incorporation of circular economy initiatives, and the development of quality jobs that attract and retain new residents. To facilitate decision-making, different roadmaps have been evaluated, including the repurposing of an old coal mine galley as a reverse hydro storage system, the deployment of enterprises dedicated to the recycling of solar panels, and the incorporation of second-life batteries from electric vehicles as energy storage. Among the scenarios evaluated, the most complex turns out to be the most interesting. With an initial outlay of 190 M€, it incorporates a 210 MW photovoltaic park linked to a mixed storage system comprised of 0.25 GWh of reverse hydraulic systems and 68MWh of second life reconditioned batteries. About 850 jobs in the implementation stage and 70 more permanent in the exploitation phase are envisaged.
Forecasting of wind turbine synthetic signals based on convolutional neural networks
Authors: C. Blanco  , J. E. Sierra-García  , M. Santos
Published: June 2023

The importance and future prospects of offshore wind power generation invite great efforts and investments to make it an efficient technology. A crucial aspect is the development of efficient control strategies, which in many cases require models to identify the state of the turbine at a given time accurately. These models must be simple enough not to increase the computational complexity of the control algorithm while being able to capture the nonlinearity and coupling of wind systems. In this work we study the possibility of using neural networks to identify a wind turbine model to predict its power output. Two models, with different number of inputs, have been proposed. LSTM (Long-Short Term Memory) and RNN (Recurrent Neural Network) have been compared, with satisfactory results in terms of model accuracy on an offshore 5MW WT.
Modelling Wind Turbine Power Curves based on Frank’s copula
Authors: M.A. Garcia-Vaca  , J.E. Sierra-García  , M. Santos  , R. Pandit
Published: June 2023

In  the  study  of  wind  turbines,  one  of  the  most  relevant  and  useful  indicators  is  the  power  curve.  It  has  been  shown  to  be  of  paramount  importance  in  evaluating  turbine  performance  and  therefore  reducing  operation  and  maintenance  (O&M)  costs.  Various  techniques  can  be  applied  to  model  and  obtain the shape of this curve, which relates the electrical power generated  by  a  turbine  to  the  wind  speed.  Statistical  copulas  are  used in this paper, a tool used in other fields such as econometrics, and  whose  potential  lies  in  its  ability  to  capture  the  complex  dependency  between  the  variables  involved.  In  particular,  the  Frank  copula  is  applied  to  obtain  a  probabilistic  model  of  the  power curve of a wind turbine. This model is compared with the Gaussian  Mixture  Model,  a  technique  widely  used  to  obtain  parametric probabilistic models. As a result of this comparison, it is observed that the Frank copula model fits the power curve of the wind  turbine  with  greater  precision  and  reliability,  which  would  allow its use for prediction and fault detection.
Development and testing midpoint voltage balance algorithms of three-level inverters
Authors: L. Stranyóczky  , A. Balogh  , Z. Süt˝o  , I. Varjasi
Published: June 2023

Nowadays, the use of inverters is increasing inmore and more applications. Environmental awareness is becom-ing a trend, so more and more people install solar energy systemson their houses, which also require the use of inverters. Higherpower levels have led to the emergence of three-level inverterswhich has opened up new challenges, such as the issue of mid-point voltage balancing. This paper discusses voltage balancingand voltage ripple reduction techniques for three-level inverterswith Neutral-Point Clamped (NPC) topology. The balancing isbased on injecting zero-sequence voltage component in carrier-based modulation. The viability of the modulation techniques areverified by computer simulation and then tested on hardware.
Construction of pavers from drilling cuttings as an alternative for environmental management of waste
Authors: J. Gómez  , N. Santos  , R. Martinez
Published: June 2023

The management of drilling waste represents a problem of high economic and environmental impact for operating companies.This isdue to its polluting components that, besides being dangerous for the environment, must be treated with special care. The cuttings generated during drillingwhich arenormally impregnated with water-based and oil-based muds, represent most of this solidwaste. In this work,it isproposed to treat the drilling cuts to be used as raw material for construction of paving stones that can be used as construction material in platforms and facades of buildings or houses, being an alternative of innovative and high impact disposition. For the foregoing, a determined volume of drilling cuttings from a well of a Magdalena Medio field was used as a test, performing all the usual solids control treatment, passing through shakers, desander, desilter and mud cleaner. After treating the perforation cuts, they were dried in an oven between 110 and 150 °C for 24 hours.Then the sample was allowed to cool to grind it and bring it below 45 microns; where it was finally used as material for the construction of the paving stone, to which the resistance tests established in the NTC 2017 standard were carried out. Results show that the use of some drilling cuttings in the construction industry is viable.Conversely, the comparison was made with a conventional way ofmanaging the gravelwhen it was reused in the production of cobblestones,obtaining a reduction of up to 34% of the associated costsand whenthere are greater than 12,000 barrels of waste.Additionally, it is used to generate valuable items and avoids the disposal of waste material.
A Graphical method for PQ assessment: EDA tools using traditional indices and Higher-order Statistics
Authors: P. Remigio-Carmona  , O. Florencias-Oliveros  , J. J. González-de-la-Rosa
Published: June 2023

This paper presents a new qualitative method for assessing the power quality (PQ) of electrical systems using both time domain traditional indices and higher-order statistics. The method employs engineering data analysis (EDA) tools to analyse and interpret the PQ data coming from real datasets. Boxplot of each index are considered an essential tool that deserves to be included and studied when an external dataset it is analysed. But this research intends to go a step further, and for this reason a new tool for the spatial visualization of supply quality based on a radar chart is proposed. Each of its vertices constitutes an index, integrating from 3rd to 6 th order statistics with the traditional indicators SNR, SINAD and crest factor. The proposed methodology is applied to the analysis of real available signals and both, boxplot and radarchart, results are compared and commented. Finally, relationships are established between the altered indicators and the type(s) of event found in the signal.
Prediction models and their role in advanced energy management systems supporting energy flexibility services
Authors: N. Uremović  , N. Lukač  , P. Sukic  , G. Štumberger
Published: June 2023

Automated decision tools, such as advanced energy management systems, are required to involve the electrical grid users in energy flexibility services. This paper focuses on the prediction models as a substantial part of decision strategy in advanced energy management systems and on advanced energy management systems as a tool that supports the active involvement of electrical grid users in energy flexibility services. Prediction models' desired properties are self-establishing and self-adaptation, which require new solutions in data selection, filtering, processing and model learning. Some of these properties are investigated within this paper.
Power Quality Analysis of Six Phase Indirect Matrix Converter Based on Multi Phase Generator
Authors: Chabi S. SANNI  , Augustin MPANDA MABWE  , Ahmed El HAJJAJI
Published: June 2023

Nowadays, multiphase machine drives are considered in many applications, especially for medium and highpower applications. This paper focuses on the topology of the six to three phase (hexaphase) indirect matrix converter (IMC). The matrix converter (MC) is designed based on twelve bidirectional switches for the rectifier stage and six single switches for the inverter stage. It is interfaced to a high-performance, fault-tolerant multiphase permanent magnet synchronous generator (PMSG) on one side and to the grid on the other side. In the literature, the most common MCs are of the three-phase type and papers on multiple input converters (N>3) are not common. This paper deals with all possible configurations of SVM that can be deduced in a hexaphase MC to determine the modulation indexes and then to assess the VTR (Voltage Transfer Ratio). Simulations are performed on a pure inductive load and THD analysis are performed on the input currents of the MC to show the impact of the studied configurations on the system.
Characterisation of Electrical Power Systems Based on Electrical Curves and their properties
Authors: J. Ventura  , F. Martínez  , L. Castro-Santos  , A. Filgueira-Vizoso  , A. Alcayde  , F. G. Montoya
Published: June 2023

Due to the proliferation of renewable energy systems, the study of voltage and frequency stability is a crucial aspect. Recently, this problem has been approached from a purely geometrical point of view with interesting results. The present work investigates the properties of the so-called electrical curves described by arbitrary voltage or current vectors in Euclidean spaces. Through the invariants of these curves, certain indices can be constructed to detect abnormal operation or irregular characteristics in electrical power systems. Different scenarios and examples have been solved in this work to support the proposed theory.
LONGTERM OPTIMIZATION MODEL FOR THE GAMBIA’S ENERGY TRANSITION
Authors: Moses s Bass  , Lopez-Agüera A
Published: June 2023

The energy sector in the Gambia is entirely dependent on imported petroleum products for electricity generation. The country is not only vulnerable to global oil market disruptions but also has an unstable electricity supply system. As of 2020, a huge portion of the country’s electricity demand remains unsatisfied. Following recent government intervention to improve the energy system, this paper examined the optimal capacity expansion planning using the open-source energy modelling system (OSeMOSYS) on a time horizon of thirty years, (2020-2050). The three scenarios studied include the business as usual (BAU), which reflects the continuation with the existing power generation pattern, the second scenario (roadmap) aligns with the Gambia’s strategic electricity roadmap (2021-2040) and the third scenario considered high renewable penetration in the energy mix. Contrary to policy makers expectations, renewables accounted for only 19.2% of electricity generation in the roadmap by 2030 and 11% by 2050. CO2 emission in 2050 reduced by 31% in the roadmap scenario and 71% in the new scenario. The global cost of the new scenario is 29% more expensive than the roadmap scenario but becomes more competitive than the roadmap in terms of energy cost when the capital investment is fully subsidised in all scenarios.
Analytical Design Methodology for Wind Power Permanent Magnet Synchronous Generators
Authors: V. Ballestín-Bernad  , J. S. Artal-Sevil  , J. A. Domínguez-Navarro
Published: June 2023

In this paper a novel analytical design methodology for wind power permanent magnet synchronous generators is presented. This kind of electric generator plays a major role in small-scale wind energy conversion systems up to 10 kW. The proposed diameter-cubed sizing equation is based both on the generator requirements, imposed by the application, and the design parameters that rely on the designer criteria. The magnetic field waveforms of both the permanent magnets field and the armature field are considered from the first moment through the winding factors, as well as the slots effects given by the Carter factor. The analytical model of the permanent magnet synchronous generator is validated with the finite element method, showing good agreement, both with no load and under load. As the generator is unsaturated, the main source of divergence between the analytical and the finite element model are the iron losses, due to the nonuniform magnetic field distribution.
Air Polluted: Ammonia and Co2 Measurement By Using Arduino
Authors:   Department of Communication and Computer Engineering, Faculty of Engineering, Cihan University-Erbil, Kurdistan Region, Iraq, Mohammed Adil , Shafiq Osama , Muhammad Sherwan , Abdulla Ahmad
Published: June 2023

In this research, the measuring of air quality is one of the needs of humans and other living organisms anywhere. And the detection of the amount of gases that pollute the air such as ammonia and carbon dioxide gases in animal farms or poultry fields or chemical and biological laboratories, which must be detected and reduce their levels in those places or it will cause fatal problems or risk their lives, and it will be dangerous for the health of workers and animals as well, in this research, the design, implementation and control of air quality and measurement of species dimensions Selected gases such as ammonia, carbon dioxide, moisture and air quality ( which contains of four different dangerous gases ) in one device using ARDUINO. The design consider three deferent channels separately can monitor remotely using IOT (Internet of Things) principles, and it will provide more security for workers and technicians, and run the ventilation system to reduced that amount of gases. The decision is dangers or good (safe) is depend on international scientific references level and make comparison with real and instantaneous gas measurement then showing the result on the screen . The results was recoded with deferent condition to evaluate the system.
Flexural Performance of Strengthened Reinforced Concrete Beams with DFRCC Layer
Authors:   Construction and building Engineering Technologies Department, , Najaf Engineering Technical College , Al-Furat Alawsat Technical University, Najaf , Iraq., Hssein Mahdi , Abbas Waleed , Gorgis I. ,   Civil Engineering Department, University of Technology, Baghdad, Iraq.
Published: June 2023

DFRCC known as ductile fiber reinforced cement composite was generated as a mend substantive structures have reinforced cement components. The ductile fiber cement reinforced composite is a concrete based substantive with cargo deflection toughening up behavior & elevated tensile force. This survey terminates boosting excitement zone of the reinforced cement plainly approved beams with ductile fiber cement reinforced composites layer made by mortars altered by 2% Polyvinyl alcohol (PVA) fiber and 1% Polyvinyl alcohol (PVA) solution. The thicknesses of DFRCC layers were 10, 20 and 30mm at tension zone that led to increase in the ultimate charge capability with approximately 7%, 11.5% & 15% and decrease in the middle span deflection at dysfunction by 18%, 36 % & 22% respectively. As well as to rise in elasticity file by 40, 48 and 62% respectively as compared with the reference beams. The experiment products demonstrated a reduce cracks wideness with higher amount cracks, and manner of damage of strengthened beams was observed by the flexural crack in zone of tension; whereas the reference beam loss was shears and flexural.