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This work presents the spatial distribution and temporal variability of lightning activity over the continental territory of Chile by means of Thunderstorms days (Td), on the basis of 7 years (2012-2018) of lightning measurement from World Wide Lightning Location Network (WWLLN). Td are obtained separately for the 15 geopolitical regions of Chile, reporting the higher lightning activity in the northeastern region of the country with 85 thunderstorms days per year. These values are mainly located in the mountains between 2000 and 5000 m.a.s.l. where extensive mining activity is located and there are electrical facilities of great importance for Chile. The Td values obtained in this study update the information presented by the World Meteorological Organization (WMO) in 1953, so far the only one available for the entire Chilean territory. From the diurnal cycle analysis, there is a marked mono-modal behaviour of lightning activity in the afternoon for latitudes between S and S (regions XV, I and II) and a different behavior of lightning activity over the region between S and S (regions X, XI and XII) known as Chilean Patagonia, due to special weather conditions in that area. Furthermore, the seasonal analysis showed that the highest lightning activity occurs in January and February and the lowest activity takes place between June and August. Once again, the Chilean Patagonia showed a different behavior because the highest activity is presented in May and August, and the lowest in September. The analysis and results presented here contribute to the knowledge of lightning activity in the region that has not been characterized before and can serve as a basis for future research to determine the behavior of this natural phenomenon.
J. Montana; C. Morales; M. G. Nicora; J. Ardila; R. Schurch; D. Aranguren. Lightning Activity Over Chilean Territory. Journal of Geophysical Research: Atmospheres 2021, 126, 1 .
AMA StyleJ. Montana, C. Morales, M. G. Nicora, J. Ardila, R. Schurch, D. Aranguren. Lightning Activity Over Chilean Territory. Journal of Geophysical Research: Atmospheres. 2021; 126 (16):1.
Chicago/Turabian StyleJ. Montana; C. Morales; M. G. Nicora; J. Ardila; R. Schurch; D. Aranguren. 2021. "Lightning Activity Over Chilean Territory." Journal of Geophysical Research: Atmospheres 126, no. 16: 1.
Malaysia has a great potential to harness energy in water due to its long coastline within the South China Sea and the Straits of Malacca. Malaysia’s energy mix could be improved using marine current energy devices (MCEDs) to replace fossil fuel and it is predictable energy compare to hydropower, solar photovoltaic (PV), and biomass. However, MCEDs is not been fully developed in Malaysia. The objectives of this paper are to provide a useful background for policymakers or researchers in the types of MCEDs and potential sites location of MCEDs that are applicable in Malaysia. This review also discusses the issues and challenges of MCEDs in Malaysia. Five types of MCEDs were discussed including tidal range device, tidal stream turbine, wave energy converter, ocean thermal energy conversion, and salinity gradient energy. These MCEDs are compared for their suitability of application in Malaysia. Among all MCEDs, tidal stream turbine is identified as high potential and commercially viable in Malaysia. However, ocean characteristics in Malaysia are low kinetic energy-flux density, low current speed, low tide, and shallow water; only fulfill the minimum requirement of tidal stream turbine making the tidal stream energy resources not significant enough to contribute to the nation’s energy mix. Therefore, using diffuser augmented tidal stream turbines to increase the flow velocity should be studied thoroughly.
Lim Yee Kai; Shamsul Sarip; Hazilah Mad Kaidi; Jorge Alfredo Ardila-Rey; Noorazizi Mohd Samsuddin; Mohd Nabil Muhtazaruddin; Firdaus Muhammad-Sukki; Saardin Abdul Aziz. Current status and possible future applications of marine current energy devices in Malaysia: A review. IEEE Access 2021, 9, 1 -1.
AMA StyleLim Yee Kai, Shamsul Sarip, Hazilah Mad Kaidi, Jorge Alfredo Ardila-Rey, Noorazizi Mohd Samsuddin, Mohd Nabil Muhtazaruddin, Firdaus Muhammad-Sukki, Saardin Abdul Aziz. Current status and possible future applications of marine current energy devices in Malaysia: A review. IEEE Access. 2021; 9 ():1-1.
Chicago/Turabian StyleLim Yee Kai; Shamsul Sarip; Hazilah Mad Kaidi; Jorge Alfredo Ardila-Rey; Noorazizi Mohd Samsuddin; Mohd Nabil Muhtazaruddin; Firdaus Muhammad-Sukki; Saardin Abdul Aziz. 2021. "Current status and possible future applications of marine current energy devices in Malaysia: A review." IEEE Access 9, no. : 1-1.
The authors retract the article “Paving towards Strategic Investment Decision: A SWOT Analysis of Renewable Energy in Bangladesh” by Karim et al
Ridoan Karim; Firdaus Muhammad-Sukki; Mina Hemmati; Shah Newaz; Haroon Farooq; Mohd Muhtazaruddin; Muhammad Zulkipli; Jorge Ardila-Rey. Retraction: Karim et al. Paving towards Strategic Investment Decision: A SWOT Analysis of Renewable Energy in Bangladesh. Sustainability 2020, 12, 10674. Sustainability 2021, 13, 6620 .
AMA StyleRidoan Karim, Firdaus Muhammad-Sukki, Mina Hemmati, Shah Newaz, Haroon Farooq, Mohd Muhtazaruddin, Muhammad Zulkipli, Jorge Ardila-Rey. Retraction: Karim et al. Paving towards Strategic Investment Decision: A SWOT Analysis of Renewable Energy in Bangladesh. Sustainability 2020, 12, 10674. Sustainability. 2021; 13 (12):6620.
Chicago/Turabian StyleRidoan Karim; Firdaus Muhammad-Sukki; Mina Hemmati; Shah Newaz; Haroon Farooq; Mohd Muhtazaruddin; Muhammad Zulkipli; Jorge Ardila-Rey. 2021. "Retraction: Karim et al. Paving towards Strategic Investment Decision: A SWOT Analysis of Renewable Energy in Bangladesh. Sustainability 2020, 12, 10674." Sustainability 13, no. 12: 6620.
In this paper, the applications of thermoplastic, thermoset polymers, and a brief description of the functions of each subsystem are reviewed. The synthetic route and characteristics of polymeric materials are presented. The mechanical properties of polymers such as impact behavior, tensile test, bending test, and thermal properties like mold stress-relief distortion, generic thermal indices, relative thermal capability, and relative thermal index are mentioned. Furthermore, this paper covers the electrical behavior of polymers, mainly their dielectric strength. Different techniques for evaluating polymers’ suitability applied for electrical insulation are covered, such as partial discharge and high current arc resistance to ignition. The polymeric materials and processes used for manufacturing cables at different voltage ranges are described, and their applications to high voltage DC systems (HVDC) are discussed. The evolution and limitations of polymeric materials for electrical application and their advantages and future trends are mentioned. However, to reduce the high cost of filler networks and improve their technical properties, new techniques need to be developed. To overcome limitations associated with the accuracy of the techniques used for quantifying residual stresses in polymers, new techniques such as indentation are used with higher force at the stressed location.
Sk Haque; Jorge Ardila-Rey; Yunusa Umar; Abdullahi Mas’Ud; Firdaus Muhammad-Sukki; Binta Jume; Habibur Rahman; Nurul Bani. Application and Suitability of Polymeric Materials as Insulators in Electrical Equipment. Energies 2021, 14, 2758 .
AMA StyleSk Haque, Jorge Ardila-Rey, Yunusa Umar, Abdullahi Mas’Ud, Firdaus Muhammad-Sukki, Binta Jume, Habibur Rahman, Nurul Bani. Application and Suitability of Polymeric Materials as Insulators in Electrical Equipment. Energies. 2021; 14 (10):2758.
Chicago/Turabian StyleSk Haque; Jorge Ardila-Rey; Yunusa Umar; Abdullahi Mas’Ud; Firdaus Muhammad-Sukki; Binta Jume; Habibur Rahman; Nurul Bani. 2021. "Application and Suitability of Polymeric Materials as Insulators in Electrical Equipment." Energies 14, no. 10: 2758.
Electrical trees are one of the main degradation processes leading to failure of high voltage polymeric insulation. Electrical trees grow under the effect of partial discharges (PD), which can be measured and analyzed for condition monitoring of electrical insulation. In this paper, techniques that are normally used for classification of PD and noise separation were explored in their ability to determine the stage of growth of electrical trees: Spectral Power Clustering Technique (SPCT), Time-Frequency (TF) maps and Chromatic Technique (CT). The techniques allowed to analyze PD signals captured in ultra-high frequency (UHF) range with an antenna during tree growth. Laboratory treeing-samples were made of epoxy resin and trees were generated at six different excitation frequencies: 0.1, 10, 50, 150, 250 and 350 Hz. The results showed that two parameters, part of SPCT and TF maps, were sensitive to the tree progression and showed a consistent relation with the length of the tree: the low-frequency power ratio and the equivalent bandwidth. These two parameters were selected to create a new map, proposed for the characterization of electrical tree growth, which is more consistent and robust than the original separation maps. It was found that the low-frequency content of PD pulses proportionally increased with tree propagation.
Carlos Madariaga; Roger Schurch; Jorge Ardila-Rey; Osvaldo Munoz; Sebastian Fingerhuth. Partial Discharge Electrical Tree Growth Identification by Means of Waveform Source Separation Techniques. IEEE Access 2021, 9, 64665 -64675.
AMA StyleCarlos Madariaga, Roger Schurch, Jorge Ardila-Rey, Osvaldo Munoz, Sebastian Fingerhuth. Partial Discharge Electrical Tree Growth Identification by Means of Waveform Source Separation Techniques. IEEE Access. 2021; 9 ():64665-64675.
Chicago/Turabian StyleCarlos Madariaga; Roger Schurch; Jorge Ardila-Rey; Osvaldo Munoz; Sebastian Fingerhuth. 2021. "Partial Discharge Electrical Tree Growth Identification by Means of Waveform Source Separation Techniques." IEEE Access 9, no. : 64665-64675.
For the past twenty years, there has been increasing interest and investment in solar photovoltaic (PV) technology. One particular area of interest is the development of concentrating PV (CPV), especially for use in building integration. Many CPV designs have been developed and investigated. This paper aims at producing a mathematical modelling using MATLAB programme to predict the current-voltage (I-V) and power-voltage (P-V) characteristics of a static CPV. The MATLAB programme could also simulate the angular response of the CPV designs-which has never been explored in the previous literature. In this paper, a CPV known as the rotationally asymmetrical dielectric totally internally reflecting concentrator (RADTIRC) was analysed. A specific RADTIRC design that has an acceptance angle of ±40° was investigated in this paper. A mathematical modelling was used to simulate the angular characteristics of the RADTIRC from −50° to 50° with an increment 5°. For any CPV, we propose that the value of opto-electronic gain, Copto-e needs to be included in the mathematical model, which were obtained from experiments. The range of incident angle (±50°) was selected to demonstrate that the RADTIRC is capable of capturing the sun rays within its acceptance angle of ±40°. In each simulation, the I-V and P-V characteristics were produced, and the short circuit current (Isc), the open-circuit voltage (Voc), the maximum power (Pmax), the fill factor (FF) and the opto-electronic gain (Copto-e) were determined and recorded. The results from the simulations were validated via experiments. It was found that the simulation model is able to predict the I-V and P-V characteristics of the RADTIRC as well as its angular response, with the highest error recorded for the Isc, Voc, Pmax, FF and Copto-e was 2.1229%, 5.3913%, 9.9681%, 4.4231% and 0.0000% respectively when compared with the experiment.
Firdaus Muhammad-Sukki; Haroon Farooq; Siti Abu-Bakar; Jorge Ardila-Rey; Nazmi Sellami; Ciaran Kilpatrick; Mohd Muhtazaruddin; Nurul Bani; Muhammad Zulkipli. Mathematical Modelling of a Static Concentrating Photovoltaic: Simulation and Experimental Validation. Applied Sciences 2021, 11, 3894 .
AMA StyleFirdaus Muhammad-Sukki, Haroon Farooq, Siti Abu-Bakar, Jorge Ardila-Rey, Nazmi Sellami, Ciaran Kilpatrick, Mohd Muhtazaruddin, Nurul Bani, Muhammad Zulkipli. Mathematical Modelling of a Static Concentrating Photovoltaic: Simulation and Experimental Validation. Applied Sciences. 2021; 11 (9):3894.
Chicago/Turabian StyleFirdaus Muhammad-Sukki; Haroon Farooq; Siti Abu-Bakar; Jorge Ardila-Rey; Nazmi Sellami; Ciaran Kilpatrick; Mohd Muhtazaruddin; Nurul Bani; Muhammad Zulkipli. 2021. "Mathematical Modelling of a Static Concentrating Photovoltaic: Simulation and Experimental Validation." Applied Sciences 11, no. 9: 3894.
In high-voltage (HV) insulation, electrical trees are an important degradation phenomenon strongly linked to partial discharge (PD) activity. Their initiation and development have attracted the attention of the research community and better understanding and characterization of the phenomenon are needed. They are very damaging and develop through the insulation material forming a discharge conduction path. Therefore, it is important to adequately measure and characterize tree growth before it can lead to complete failure of the system. In this paper, the Gaussian mixture model (GMM) has been applied to cluster and classify the different growth stages of electrical trees in epoxy resin insulation. First, tree growth experiments were conducted, and PD data captured from the initial to breakdown stage of the tree growth in epoxy resin insulation. Second, the GMM was applied to categorize the different electrical tree stages into clusters. The results show that PD dynamics vary with different stress voltages and tree growth stages. The electrical tree patterns with shorter breakdown times had identical clusters throughout the degradation stages. The breakdown time can be a key factor in determining the degradation levels of PD patterns emanating from trees in epoxy resin. This is important in order to determine the severity of electrical treeing degradation, and, therefore, to perform efficient asset management. The novelty of the work presented in this paper is that for the first time the GMM has been applied for electrical tree growth classification and the optimal values for the hyperparameters, i.e., the number of clusters and the appropriate covariance structure, have been determined for the different electrical tree clusters.
Abdullahi Mas’Ud; Arunachalam Sundaram; Jorge Ardila-Rey; Roger Schurch; Firdaus Muhammad-Sukki; Nurul Bani. Application of the Gaussian Mixture Model to Classify Stages of Electrical Tree Growth in Epoxy Resin. Sensors 2021, 21, 2562 .
AMA StyleAbdullahi Mas’Ud, Arunachalam Sundaram, Jorge Ardila-Rey, Roger Schurch, Firdaus Muhammad-Sukki, Nurul Bani. Application of the Gaussian Mixture Model to Classify Stages of Electrical Tree Growth in Epoxy Resin. Sensors. 2021; 21 (7):2562.
Chicago/Turabian StyleAbdullahi Mas’Ud; Arunachalam Sundaram; Jorge Ardila-Rey; Roger Schurch; Firdaus Muhammad-Sukki; Nurul Bani. 2021. "Application of the Gaussian Mixture Model to Classify Stages of Electrical Tree Growth in Epoxy Resin." Sensors 21, no. 7: 2562.
Milk is an important dietary requirement for many populations due to its high nutritional value. However, increased demand has also made it prone to fraudulent activity. In this sense, scientists have sought to develop simple, low-cost, and portable techniques to achieve quality control of milk in industry and farms as well. This work proposes a new instrumentation system based on acoustic propagation and advanced signal processing techniques to identify milk adulteration by industrial contaminants. A pair of transmitter-receiver low-cost piezoelectric transducers, configured in a pitch-catch mode, propagated acoustic waves in the bovine milk samples contaminated with 0.5% of sodium bicarbonate, urea, and hydrogen peroxide. Signal processing approaches such as chromatic technique and statistical indexes like the correlation coefficient, Euclidian norm and cross-correlation square difference were applied to identify the contaminants. According to the presented results, CCSD and RMSD metrics presented more effectiveness to perform the identification of milk contaminants. However, CCSD was 2.28 × 105 more sensitivity to distinguish adulteration in relation to RMSD. For chromatic clustering technique, the major selectivity was observed between the contamination performed by sodium bicarbonate and urea. Therefore, results indicate that the proposed approach can be an effective and quick alternative to assess the milk condition and classify its contaminants.
Marcos Messias Dos Santos Junior; Bruno Albuquerque de Castro; Jorge Ardila-Rey; Fernando De Souza Campos; Maria Merino de Medeiros; José Covolan Ulson. A New Acoustic-Based Approach for Assessing Induced Adulteration in Bovine Milk. Sensors 2021, 21, 2101 .
AMA StyleMarcos Messias Dos Santos Junior, Bruno Albuquerque de Castro, Jorge Ardila-Rey, Fernando De Souza Campos, Maria Merino de Medeiros, José Covolan Ulson. A New Acoustic-Based Approach for Assessing Induced Adulteration in Bovine Milk. Sensors. 2021; 21 (6):2101.
Chicago/Turabian StyleMarcos Messias Dos Santos Junior; Bruno Albuquerque de Castro; Jorge Ardila-Rey; Fernando De Souza Campos; Maria Merino de Medeiros; José Covolan Ulson. 2021. "A New Acoustic-Based Approach for Assessing Induced Adulteration in Bovine Milk." Sensors 21, no. 6: 2101.
Electricity-saving strategies are an essential solution to overcoming increasing global CO2 emission and electricity consumption problems; therefore, the determinant factors of electricity consumption in households need to be assessed. Most previous studies were conducted in developed countries of subtropical regions that had different household characteristic factors from those in developing countries of tropical regions. A field survey was conducted on electricity consumption for Malaysian households to investigate the factors affecting electricity consumption that focused on technology perspective (building and appliance characteristics) and socio-economic perspective (socio-demographics and occupant behaviour). To analyse the determinant factors of electricity consumption, direct and indirect questionnaire surveys were conducted from November 2017 to January 2018 among 214 university students. Direct questionnaire surveys were performed in order to obtain general information that is easily answered by respondents. On the other hand, some questions such as electricity consumption and detailed information of appliances must be confirmed by the respondents’ parents or other household members through an indirect questionnaire survey. The results from multiple linear regression analyses of the survey responses showed that appliance characteristic factors were the main variables influencing electricity consumption and house characteristics were the least significant. Specifically, air conditioners, fluorescent lamps, and flat-screen TVs emerged as appliances with the most significant effect on electricity consumption. Occupant behaviour factors had a more significant influence than socio-demographic factors. The findings in this study can be used by policymakers to develop electricity-saving strategies in Malaysia.
Boni Sena; Sheikh Zaki; Hom Rijal; Jorge Ardila-Rey; Nelidya Yusoff; Fitri Yakub; Mohammad Ridwan; Firdaus Muhammad-Sukki. Determinant Factors of Electricity Consumption for a Malaysian Household Based on a Field Survey. Sustainability 2021, 13, 818 .
AMA StyleBoni Sena, Sheikh Zaki, Hom Rijal, Jorge Ardila-Rey, Nelidya Yusoff, Fitri Yakub, Mohammad Ridwan, Firdaus Muhammad-Sukki. Determinant Factors of Electricity Consumption for a Malaysian Household Based on a Field Survey. Sustainability. 2021; 13 (2):818.
Chicago/Turabian StyleBoni Sena; Sheikh Zaki; Hom Rijal; Jorge Ardila-Rey; Nelidya Yusoff; Fitri Yakub; Mohammad Ridwan; Firdaus Muhammad-Sukki. 2021. "Determinant Factors of Electricity Consumption for a Malaysian Household Based on a Field Survey." Sustainability 13, no. 2: 818.
One of the main tools for monitoring the condition of high voltage equipment is the measurement of partial discharges (PD). The electromagnetic (EM) radiation originated from this degradation phenomenon can be captured by various types of ultra‐high frequency (UHF) antennas carefully designed and optimised for specific frequency bands. However, the presence of environmental noise may limit the use of this technique. Different types of monopole antennas normally used in UHF PD measurement have been evaluated in order to validate the performance of a novel separation technique of EM sources. Accordingly, a new separation technique based on the energy ratio of the captured signals was developed, considering noise interferences. The results revealed that the new technique allows an adequate separation, even when three sources act simultaneously.
Jorge A. Ardila‐Rey; Matias Cerda‐Luna; Rodrigo Rozas‐Valderrama; Bruno Albuquerque de Castro; André Luiz Andreoli; Benjamin Cevallos. A new technique for separation of partial discharge sources and electromagnetic noise in radiofrequency measurements using energy ratios of different antennas. High Voltage 2021, 6, 525 -530.
AMA StyleJorge A. Ardila‐Rey, Matias Cerda‐Luna, Rodrigo Rozas‐Valderrama, Bruno Albuquerque de Castro, André Luiz Andreoli, Benjamin Cevallos. A new technique for separation of partial discharge sources and electromagnetic noise in radiofrequency measurements using energy ratios of different antennas. High Voltage. 2021; 6 (3):525-530.
Chicago/Turabian StyleJorge A. Ardila‐Rey; Matias Cerda‐Luna; Rodrigo Rozas‐Valderrama; Bruno Albuquerque de Castro; André Luiz Andreoli; Benjamin Cevallos. 2021. "A new technique for separation of partial discharge sources and electromagnetic noise in radiofrequency measurements using energy ratios of different antennas." High Voltage 6, no. 3: 525-530.
Precise partial discharge (PD) detection is a key factor in anticipating insulation failures. The continuous efforts of researchers have led to the design of a variety of algorithms focusing on PD pattern classification. However, the trade-off between features taken up for classification and the detection rate continues to pose considerable challenges in terms of feature selection from acquired data, increased computing time, and so on. In this article, a Hypergraph (HG) based improved Random Forest (RF) algorithm by employing the Recursive Feature Elimination (RFE) algorithm (HG-RF-RFE), has been developed for PD source classification. HG representation of data is considered for obtaining statistical features, which turn out to be a subset of a set of all hyper edges called Hyper statistical features (Helly, Non-Helly, and Isolated hyper edges). HG-RF-RFE takes hyper statistical features and hyper edges as features for classification. The algorithm’s efficiency is tested against noise-free PD data obtained from SASTRA High Voltage Laboratory, and large-sized noisy PD data obtained from High-Voltage Research and Test Laboratory at Universidad Técnica Federico Santa Maria (LIDAT). The robustness of the proposed algorithm is tested with both time and phase domain PD features using the Mathews Correlation Coefficient (MCC), harmonic mean-based feature Score (F1 Score) as evaluation metrics, and by k-fold validation technique. The proposed HG-RF-RFE achieved 98.8% accuracy with minimal features and significantly reduces computation time without compromising accuracy. It is worth mentioning that the HG-RF-RFE technique is superior to many state of the art algorithms in terms of feature elimination and classification accuracy.
Suganya Govindarajan; Jorge Alfredo Ardila-Rey; Kannan Krithivasan; Jayalalitha Subbaiah; Nikhith Sannidhi; M. Balasubramanian. Development of Hypergraph Based Improved Random Forest Algorithm for Partial Discharge Pattern Classification. IEEE Access 2020, 9, 96 -109.
AMA StyleSuganya Govindarajan, Jorge Alfredo Ardila-Rey, Kannan Krithivasan, Jayalalitha Subbaiah, Nikhith Sannidhi, M. Balasubramanian. Development of Hypergraph Based Improved Random Forest Algorithm for Partial Discharge Pattern Classification. IEEE Access. 2020; 9 ():96-109.
Chicago/Turabian StyleSuganya Govindarajan; Jorge Alfredo Ardila-Rey; Kannan Krithivasan; Jayalalitha Subbaiah; Nikhith Sannidhi; M. Balasubramanian. 2020. "Development of Hypergraph Based Improved Random Forest Algorithm for Partial Discharge Pattern Classification." IEEE Access 9, no. : 96-109.
Bangladesh, being a developing country, needs an uninterrupted electricity supply to sustain and expand economic growth. The government’s strategic vision of 2021 and the international commitment under the Paris Agreement has meant to attract new capital investments for renewable electricity generation by diversifying energy blends, ranging from natural gas to more reliable coal technologies and renewable energy. To understand the practical implementation of such policies, this paper explores the key factors of the renewable energy (RE) sector of Bangladesh. This research has adopted the strengths, weaknesses, opportunities, and threats (SWOT) analysis method to examine the RE market and to understand the determinants of foreign direct investment (FDI) to attract new investments. For the analysis purposes, data were collected from extant literature and semi-structured interviews from the RE experts in Bangladesh. This study bears significance as it empirically reflects the government’s vision and strategy on RE development and analyzes its challenges and recommends accordingly. The analysis of the study reveals that the regulatory framework, tax haven/exemption, higher tariff, and presence of government guarantee are the major strengths to draw foreign investment. On the contrary, land acquisition, lack of coordination and collaboration among government authorities, administrative procedures, corruption, and access to local finance turns out to be the key weaknesses to consider while investing in this sector. In terms of the external factors, increasing energy demand, increasing global awareness of climate change, and decreasing cost of RE setup equipment act as potent opportunities; while the dominance of fossil fuel and discontinuity of energy policies should be taken as threats that can hinder the flow of investment in this sector. Hence, in order to attract sustainable FDI in the RE sector, several key areas need to be strengthened in the short, medium, and long-term. These are: (i) regulations on non-discriminatory treatment to foreign investors; (ii) control of corruption; (iii) protection of intellectual property rights; and (iv) coordination and collaboration between ministries.
Ridoan Karim; Firdaus Muhammad-Sukki; Mina Hemmawati; Shah Newaz; Haroon Farooq; Mohd Nabil Muhtazaruddin; Muhammad Zulkipli; Jorge Alfredo Ardila-Rey. Paving towards Strategic Investment Decision: A SWOT Analysis of Renewable Energy in Bangladesh. Sustainability 2020, 12, 1 -30.
AMA StyleRidoan Karim, Firdaus Muhammad-Sukki, Mina Hemmawati, Shah Newaz, Haroon Farooq, Mohd Nabil Muhtazaruddin, Muhammad Zulkipli, Jorge Alfredo Ardila-Rey. Paving towards Strategic Investment Decision: A SWOT Analysis of Renewable Energy in Bangladesh. Sustainability. 2020; 12 (24):1-30.
Chicago/Turabian StyleRidoan Karim; Firdaus Muhammad-Sukki; Mina Hemmawati; Shah Newaz; Haroon Farooq; Mohd Nabil Muhtazaruddin; Muhammad Zulkipli; Jorge Alfredo Ardila-Rey. 2020. "Paving towards Strategic Investment Decision: A SWOT Analysis of Renewable Energy in Bangladesh." Sustainability 12, no. 24: 1-30.
The development of sensors applied to failure detection systems for power transformers is a critical concern since this device stands out as a strategic component of the electric power system. Among the most common issues is the presence of partial discharges (PDs) in the insulation system of the transformer, which can lead the device to total failure. Aiming to prevent unexpected damages, several PD monitoring approaches have been developed. One of the most promising is the Acoustic Emission (AE) technique, which captures the acoustic signals generated by PDs using piezoelectric sensors. Although many studies have proved the effectiveness of AE, most signal processing approaches are strictly related to the frequency analysis of PD signals, which can hide important information such as the repetition rate of the failure. This article presents a comparison between two types of piezoelectric transducers: the microfiber composite (MFC) and the lead zirconate titanate (PZT). To ensure the detection of multiple PDs, time–frequency analysis was carried out by short-time Fourier transform (STFT). Intending to compare the sensibility of the transducers, the AE signals were windowed, and the root mean square (RMS) value was extracted for each part of the signal. The results indicate that spectrogram and RMS analysis have great potential to detect multiple PD activity. Although MFC was two times more sensitive to PD detection than the PZT sensor, PZT presents a higher frequency response band (0–100 kHz) than MFC (80 kHz).
Amanda Binotto; Bruno Albuquerque De Castro; Vitor Vecina Dos Santos; Jorge Alfredo Ardila Rey; André Luiz Andreoli. A Comparison between Piezoelectric Sensors Applied to Multiple Partial Discharge Detection by Advanced Signal Processing Analysis. Proceedings of 7th International Electronic Conference on Sensors and Applications 2020, 2, 55 .
AMA StyleAmanda Binotto, Bruno Albuquerque De Castro, Vitor Vecina Dos Santos, Jorge Alfredo Ardila Rey, André Luiz Andreoli. A Comparison between Piezoelectric Sensors Applied to Multiple Partial Discharge Detection by Advanced Signal Processing Analysis. Proceedings of 7th International Electronic Conference on Sensors and Applications. 2020; 2 (1):55.
Chicago/Turabian StyleAmanda Binotto; Bruno Albuquerque De Castro; Vitor Vecina Dos Santos; Jorge Alfredo Ardila Rey; André Luiz Andreoli. 2020. "A Comparison between Piezoelectric Sensors Applied to Multiple Partial Discharge Detection by Advanced Signal Processing Analysis." Proceedings of 7th International Electronic Conference on Sensors and Applications 2, no. 1: 55.
Under normal operation, insulation systems of high voltage electrical devices, like power transformers, are constantly subjected to multiple types of stresses (electrical, thermal, mechanical, environmental, etc.), which can lead to a degradation of the machine insulation. One of the main indicators of the dielectric degradation process is the presence of partial discharges (PD). Although it starts due to operational stresses, PD can cause a progressive insulation deterioration, since it is characterized by localized current pulses that emit heat, UV radiation, acoustic, and electromagnetic waves. In this sense, acoustic emission (AE) transducers are wildly applied in PD detection. The goal is to reduce maintenance costs by predictive actions and avoid total failures. Becasue of the progressive deterioration, the assessment of the PD evolution is crucial for improving the maintenance planning and ensure the operation of the transformer. Based on this issue, this article presents a new wavelet -based analysis in order to characterize the PD evolution. Three levels of failures were carried out in a transformer and the acoustic signals captured by a lead zirconate titanate piezoelectric transducer were processed by discrete wavelet transform. The experimental results revealed that the energy of the approximation levels increasing with the failure evolution. More specifically, levels 4, 6, 7, and 10 presented a linear fit to characterize the phenomena, enhancing the applicability of the proposed approach to transformer monitoring.
Vitor Vecina Dos Santos; Bruno Albuquerque De Castro; Amanda Binotto; Jorge Alfredo Ardila Rey; Guilherme Beraldi Lucas; André Luiz Andreoli. An Application of Wavelet Analysis to Assess Partial Discharge Evolution by Acoustic Emission Sensor. Proceedings of 7th International Electronic Conference on Sensors and Applications 2020, 2, 33 .
AMA StyleVitor Vecina Dos Santos, Bruno Albuquerque De Castro, Amanda Binotto, Jorge Alfredo Ardila Rey, Guilherme Beraldi Lucas, André Luiz Andreoli. An Application of Wavelet Analysis to Assess Partial Discharge Evolution by Acoustic Emission Sensor. Proceedings of 7th International Electronic Conference on Sensors and Applications. 2020; 2 (1):33.
Chicago/Turabian StyleVitor Vecina Dos Santos; Bruno Albuquerque De Castro; Amanda Binotto; Jorge Alfredo Ardila Rey; Guilherme Beraldi Lucas; André Luiz Andreoli. 2020. "An Application of Wavelet Analysis to Assess Partial Discharge Evolution by Acoustic Emission Sensor." Proceedings of 7th International Electronic Conference on Sensors and Applications 2, no. 1: 33.
Partial discharge (PD) monitoring is one of the most used tools for diagnosing the condition of electrical equipment and machines that operate normally at high voltage levels. Ideally, PD identification can be easily done if there is a single source acting over the electrical asset during the measurement. However, in industrial environments, it is common to find the presence of multiple sources acting simultaneously, which hinders the identification process, due to sources of greater amplitude hiding the presence of other types of sources of lesser amplitude that could eventually be much more harmful to the insulation system. In this sense, the separation of PD through the use of clustering techniques allows individual source recognition once they have been clearly separated. This article describes the main clustering techniques that have been used over time to separate PD sources and electrical noise. The results obtained by the different authors in the utilization of each technique demonstrates good performance in terms of separation.
Jorge Alfredo Ardila-Rey; Matias Patricio Cerda-Luna; Rodrigo Andres Rozas-Valderrama; Bruno Albuquerque De Castro; Andre Luiz Andreoli; Firdaus Muhammad-Sukki. Separation Techniques of Partial Discharges and Electrical Noise Sources: A Review of Recent Progress. IEEE Access 2020, 8, 199449 -199461.
AMA StyleJorge Alfredo Ardila-Rey, Matias Patricio Cerda-Luna, Rodrigo Andres Rozas-Valderrama, Bruno Albuquerque De Castro, Andre Luiz Andreoli, Firdaus Muhammad-Sukki. Separation Techniques of Partial Discharges and Electrical Noise Sources: A Review of Recent Progress. IEEE Access. 2020; 8 ():199449-199461.
Chicago/Turabian StyleJorge Alfredo Ardila-Rey; Matias Patricio Cerda-Luna; Rodrigo Andres Rozas-Valderrama; Bruno Albuquerque De Castro; Andre Luiz Andreoli; Firdaus Muhammad-Sukki. 2020. "Separation Techniques of Partial Discharges and Electrical Noise Sources: A Review of Recent Progress." IEEE Access 8, no. : 199449-199461.
This article presents a new method for selection and combination of weather stations based on Wavelet Squared Coherence (WSC) that seeks to improve the performance of forecast models for the electric load. An Average Coherence Index (ACI) is obtained from WSC and used as an indicator of the relationship between the temperature of a weather station and the load of an area served by a utility. The ACI is used to categorize stations and select the best combination of stations for a forecast model. The method is validated with data from 18 load zones and 11 weather stations, offering a lower Mean Absolute Percentage Error (MAPE) than similar methods.
Carlos Boya; Jorge Ardila-Rey. A Method for Weather Station Selection based on Wavelet Squared Coherence for Electric Load Forecasting. IEEE Access 2020, 8, 1 -1.
AMA StyleCarlos Boya, Jorge Ardila-Rey. A Method for Weather Station Selection based on Wavelet Squared Coherence for Electric Load Forecasting. IEEE Access. 2020; 8 ():1-1.
Chicago/Turabian StyleCarlos Boya; Jorge Ardila-Rey. 2020. "A Method for Weather Station Selection based on Wavelet Squared Coherence for Electric Load Forecasting." IEEE Access 8, no. : 1-1.
Electrical treeing is the main degradation mechanism in high voltage polymeric insulation, that leads to power system plant failure and the loss of electricity supply. Electrical trees grow under partial discharge (PD) activity, which can be measured and analyzed to understand and characterize electrical tree growth. In this work, PD measurements were analyzed for electrical trees grown in epoxy resin needleplane samples under very low frequency (VLF, 0.1 Hz) voltage excitation. VLF is interesting as it is used for testing power cables and other high capacitance insulation loads. However, more experience and new methods are needed for PD interpretation. PDs were studied using two tools: pulse sequence analysis (PSA) and nonlinear time series analysis (NLTSA) from dynamic system theory. PSA was treated here as a particular case of NLTSA since their constructions are similar in their mathematical treatment. The experimental results showed that electrical trees grown at VLF had branch-type structure and times to breakdown about fifty times larger than samples aged at industrial frequency. PSA plots were compared with 2D projections of state-space trajectories that represent the dynamics of the nonlinear system (NLTSA approach). In terms of graphical representation, NLTSA 2D projections generated more clusters than the PSA plots, thus, it was interpreted that NLTSA revealed more details about the nonlinear dynamic system associated with electrical tree growth. On the other hand, using the NLTSA approach, the correlation dimension was estimated to characterize the electrical tree growth. The results showed a different evolution obtained for VLF excitation compared to the results reported for test samples aged at industrial frequency in other studies.
Pablo Donoso; Roger Schurch; Jorge Ardila-Rey; Luis Orellana. Analysis of Partial Discharges in Electrical Tree Growth Under Very Low Frequency (VLF) Excitation Through Pulse Sequence and Nonlinear Time Series Analysis. IEEE Access 2020, 8, 163673 -163684.
AMA StylePablo Donoso, Roger Schurch, Jorge Ardila-Rey, Luis Orellana. Analysis of Partial Discharges in Electrical Tree Growth Under Very Low Frequency (VLF) Excitation Through Pulse Sequence and Nonlinear Time Series Analysis. IEEE Access. 2020; 8 (99):163673-163684.
Chicago/Turabian StylePablo Donoso; Roger Schurch; Jorge Ardila-Rey; Luis Orellana. 2020. "Analysis of Partial Discharges in Electrical Tree Growth Under Very Low Frequency (VLF) Excitation Through Pulse Sequence and Nonlinear Time Series Analysis." IEEE Access 8, no. 99: 163673-163684.
Integrating a concentrator into the building integrated photovoltaic (BIPV) design has resulted in a new technology known as the building integrated concentrating photovoltaic (BICPV). The rotationally asymmetrical compound parabolic concentrator (RACPC) is an example of a concentrator design that has been explored for use in BICPV. This paper evaluates the life cycle assessment (LCA) for the RACPC-PV module, which has never been explored before. The LCA of the RACPC-PV module has found a cost reduction of 29.09% and a reduction of 11.76% of embodied energy material manufacture when compared to a conventional solar photovoltaic (PV) module. The energy payback time for an RACPC-PV and a conventional PV was calculated to be 8.01 and 6.63 years, respectively. Moreover, the energy return on investment ratio was calculated to be 3.12 for a conventional PV and 3.77 for an RACPC-PV.
Przemyslaw Zawadzki; Firdaus Muhammad-Sukki; Siti Hawa Abu-Bakar; Nurul Aini Bani; Abdullahi Abubakar Mas’Ud; Jorge Alfredo Ardila-Rey; Abu Bakar Munir. Life Cycle Assessment of a Rotationally Asymmetrical Compound Parabolic Concentrator (RACPC). Sustainability 2020, 12, 1 .
AMA StylePrzemyslaw Zawadzki, Firdaus Muhammad-Sukki, Siti Hawa Abu-Bakar, Nurul Aini Bani, Abdullahi Abubakar Mas’Ud, Jorge Alfredo Ardila-Rey, Abu Bakar Munir. Life Cycle Assessment of a Rotationally Asymmetrical Compound Parabolic Concentrator (RACPC). Sustainability. 2020; 12 (11):1.
Chicago/Turabian StylePrzemyslaw Zawadzki; Firdaus Muhammad-Sukki; Siti Hawa Abu-Bakar; Nurul Aini Bani; Abdullahi Abubakar Mas’Ud; Jorge Alfredo Ardila-Rey; Abu Bakar Munir. 2020. "Life Cycle Assessment of a Rotationally Asymmetrical Compound Parabolic Concentrator (RACPC)." Sustainability 12, no. 11: 1.
Malaysia’s Eleventh Plan started to encourage green building developments and green industries to stimulate green growth. Eventually, the Malaysian government had launched a new commitment to accelerate the green and efficient energy sector and revised the quota of Renewable Energy (RE) towards higher capacity for electricity generation. These scenarios had highlighted the latest commitment of the Malaysian government to implement both green building development and concurrently, streamline the additional quota for RE generation. Due to this, the evolution of the requirement of RE-based Distributed Generation (DG) in the green building development for higher installed-capacity was expected to occur in ensuring the government key achievement becomes more visible. This study focuses on measuring the expanded-capacity performance of the Solar Photovoltaic (PV)-type DG unit (PV-DG) through the Green Building Rating System (GBRS), particularly on the useful energy consumption yield for load and total line loss minimization. Previous work has conducted a MATLAB simulation on a PV-DG capacity expansion guided by the Net Energy Metering (NEM) specification considering the total line loss minimization as the main objective function. Consequently, the results are being adopted to obtain the ratio of useful energy consumption from the generated PV-DG through the selected distribution network. Consequently, the Performance Ratio (PR) - as the internationally recognized formulation for a complete PV-DG system - is proposed to be revolutionized towards extended version, considering the specific total line losses contribution, via the formed of the proposed ratio.
Mohd Effendi Amran; Mohd Nabil Muhtazaruddin; Samira Albati Kamaruddin; Firdaus Muhammad-Sukki; Siti Hawa Abu-Bakar; Ahmad Syahrir Ayub; Nurul Aini Bani; Ahmad Shakir Mohd Saudi; Jorge Alfredo Ardila-Rey. Renewable Energy Performance of the Green Buildings: Key-Enabler on Useful Consumption Yield. IEEE Access 2020, 8, 95747 -95767.
AMA StyleMohd Effendi Amran, Mohd Nabil Muhtazaruddin, Samira Albati Kamaruddin, Firdaus Muhammad-Sukki, Siti Hawa Abu-Bakar, Ahmad Syahrir Ayub, Nurul Aini Bani, Ahmad Shakir Mohd Saudi, Jorge Alfredo Ardila-Rey. Renewable Energy Performance of the Green Buildings: Key-Enabler on Useful Consumption Yield. IEEE Access. 2020; 8 (99):95747-95767.
Chicago/Turabian StyleMohd Effendi Amran; Mohd Nabil Muhtazaruddin; Samira Albati Kamaruddin; Firdaus Muhammad-Sukki; Siti Hawa Abu-Bakar; Ahmad Syahrir Ayub; Nurul Aini Bani; Ahmad Shakir Mohd Saudi; Jorge Alfredo Ardila-Rey. 2020. "Renewable Energy Performance of the Green Buildings: Key-Enabler on Useful Consumption Yield." IEEE Access 8, no. 99: 95747-95767.
In the last four decades there has been a significant increase in solar photovoltaic (PV) capacity, which makes solar one of the most promising renewable energy sources. Following this trend, solar power would become the world’s largest source of electricity by 2050. Building Integrated Photovoltaic (BIPV) systems, in which conventional materials can be replaced with PV panels that become an integral part of the building, can be enhanced with concentrating photovoltaic (CPV) systems. In order to increase the cost efficiency of a BIPV system, an optical concentrator can be used to replace expensive PV material with a lower cost option, whilst increasing the electrical output through the concentration of solar power. A concentrator called rotationally asymmetrical compound parabolic concentrator (RACPC) was analysed in this work under diffuse light conditions. Software simulations and experimental work were carried out to determine the optical concentration gain of the concentrator. Results from this work show that, under diffuse light, the RACPC has an optical concentration gain of 2.12. The experimental work showed a value of 2.20, which confirms the results with only a 3.8% difference.
Stephania Foster; Firdaus Muhammad-Sukki; Roberto Ramirez-Iniguez; Daria Freier Raine; Jose Deciga-Gusi; Siti Hawa Abu-Bakar; Nurul Aini Bani; Abu Bakar Munir; Abdullahi Abubakar Mas’Ud; Jorge Alfredo Ardila-Rey. Assessment of the RACPC Performance under Diffuse Radiation for Use in BIPV System. Applied Sciences 2020, 10, 3552 .
AMA StyleStephania Foster, Firdaus Muhammad-Sukki, Roberto Ramirez-Iniguez, Daria Freier Raine, Jose Deciga-Gusi, Siti Hawa Abu-Bakar, Nurul Aini Bani, Abu Bakar Munir, Abdullahi Abubakar Mas’Ud, Jorge Alfredo Ardila-Rey. Assessment of the RACPC Performance under Diffuse Radiation for Use in BIPV System. Applied Sciences. 2020; 10 (10):3552.
Chicago/Turabian StyleStephania Foster; Firdaus Muhammad-Sukki; Roberto Ramirez-Iniguez; Daria Freier Raine; Jose Deciga-Gusi; Siti Hawa Abu-Bakar; Nurul Aini Bani; Abu Bakar Munir; Abdullahi Abubakar Mas’Ud; Jorge Alfredo Ardila-Rey. 2020. "Assessment of the RACPC Performance under Diffuse Radiation for Use in BIPV System." Applied Sciences 10, no. 10: 3552.