W.M.R. Jamaludin, W. M. Wan, N. H. Nik Ali, N. Isa
{"title":"Impact of Incandescent Light and LED on Electricity Fee and Carbon Emission Cost at an Airport in Malaysia","authors":"W.M.R. Jamaludin, W. M. Wan, N. H. Nik Ali, N. Isa","doi":"10.1109/ICPEA56918.2023.10093154","DOIUrl":"https://doi.org/10.1109/ICPEA56918.2023.10093154","url":null,"abstract":"Nowadays, the environment has been highly impacted by global warming and the greenhouse effect. Issues like carbon reduction, environmental protection and sustainability through energy saving have become common goals worldwide. The increasing usage of Aeronautical Ground Lighting (AGL) in airports have cause a high cost in electricity fee. Thus, the objectives of this paper are to assess the cost assessment model with respect to Malaysia’s condition in terms of electricity fee with carbon emission cost. The proposed model will be applied to an airport that accommodates night operations hours focusing on approach lights. Comparison between the lighting cost of a traditional light source (incandescent light) and an energy-saving light source (LED light) is conducted by using electricity fee and carbon emission cost formulation respectively. It is found that by using existing infrastructure and replacing the light source, LED can produce much lower electricity fee and carbon emission costs. In conclusion, this paper will benefit airport operators in Malaysia in determining the reduction of electricity fee and carbon emission by using LED.","PeriodicalId":297829,"journal":{"name":"2023 IEEE 3rd International Conference in Power Engineering Applications (ICPEA)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134646591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hong Nguyen Thi, Thuc Xuan Kieu, Lam Ho Truong, Anh Le Thi
{"title":"Resource allocation for NOMA/IRS network with energy harvesting in presence of Hardware Impairment","authors":"Hong Nguyen Thi, Thuc Xuan Kieu, Lam Ho Truong, Anh Le Thi","doi":"10.1109/ICPEA56918.2023.10093209","DOIUrl":"https://doi.org/10.1109/ICPEA56918.2023.10093209","url":null,"abstract":"In this paper, we study the impacts of hardware impairment of cooperative non-orthogonal multiple access (NOMA) with an assistant of an energy-harvesting (EH) relay network and an intelligent reflecting surface (IRS) on both energy efficiency (EE) and sum data rate (SDR) metrics. Specifically, in our proposed model, a base station communicates with two NOMA users via the assistance of the selected EH relay employing a power-splitting (PS) architecture. This EH technique is also used in this system to prolong the lifetime of relaying nodes. Moreover, to enhance the performance of our system, an algorithm of swarm intelligence as particle swarm optimization (PSO) is applied to maximize the value of EE and SDR under the constraint conditions of power allocation for each NOMA user. In addition, in this paper, the influence of key parameters of the system is investigated for two cases as IRS and without IRS models in composing of hardware impairment, the number of IRS elements, the number of IRS elements and intermediate nodes, and energy harvesting efficiency on both EE and SDR.","PeriodicalId":297829,"journal":{"name":"2023 IEEE 3rd International Conference in Power Engineering Applications (ICPEA)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130987664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Raihanah Naja Redan, Muhammad Murtadha Othman, Kamrul Hasan, Masoud Ahmadipour
{"title":"Random Forest (RF) with Daubechies Wavelet and Multiple Time Lags (MTL) for Solar Irradiance Forecasting","authors":"Raihanah Naja Redan, Muhammad Murtadha Othman, Kamrul Hasan, Masoud Ahmadipour","doi":"10.1109/ICPEA56918.2023.10093181","DOIUrl":"https://doi.org/10.1109/ICPEA56918.2023.10093181","url":null,"abstract":"Accurate forecasting of solar irradiance is important as the dependency of this clean energy towards weather condition may affect the efficiency of solar power plant. Various types of models has been used to forecast solar irradiance and maintain the efficiency of solar power grid but not many can provide a high accuracy forecasting. In this paper, raw information of solar irradiance, current, temperature and power are collected as input for the random forest (RF) techique. These data went through a noise elimination process before it can use as input data for training and testing procedures. Daubechies wavelet based decomposition concept has been used in filtering the data from any unwanted noise as it may increase the percentage of error. The feature extraction of multiple time lags (MTL) is used to further improve the contents of input data. The proposed method used for solar irradiance forecasting is very much needed to reduce the forecasting error and useful for maintaining the stability of generated energy and energy consumption.","PeriodicalId":297829,"journal":{"name":"2023 IEEE 3rd International Conference in Power Engineering Applications (ICPEA)","volume":"247 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116005231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Muhammad Aliff Danial Bin Azman, Siti Amely Jumaat, M. A. Johar, Umar Saleh Abu Bakar
{"title":"Development of Automated Nutrient Composition Control for Fertigation System Using IoT Application","authors":"Muhammad Aliff Danial Bin Azman, Siti Amely Jumaat, M. A. Johar, Umar Saleh Abu Bakar","doi":"10.1109/ICPEA56918.2023.10093152","DOIUrl":"https://doi.org/10.1109/ICPEA56918.2023.10093152","url":null,"abstract":"This paper is development of solar power automated nutrient composition control for fertigation system. The automatic mixing system that is controlled by Arduino Uno board. There are three 30 litre buckets for water and a stock of fertilizer A and B and one 10 litre tank for mixing. Three units of 12V DC water pumps will be used for fertilizer A, B and water and two more units will be used in this system to control water flow to the chosen crops. The solar power supply used consists of a 3 Watts mono-crystalline photovoltaic (PV) solar panel, 12/24V 10A solar charger controller and a 12 V rechargeable li- on battery. EC meter which is Analog EC Meter SKU: DFR0300 EC sensor module will be used as sensor to read the value of EC. Relay will be connected to water pump as its function is aim at controlling the opening and closing of the circuit contacts of an electronic circuit. The data of nutrient EC from Arduino Uno will transfer to NodeMCU ESP8266 and will be stored in Blynk application as implement of Internet of Things (IoT). The EC meter must react to the automated mixture nutrient with desired EC and the solution must flow to the chosen crops based on user desire which are chili plant or eggplant.","PeriodicalId":297829,"journal":{"name":"2023 IEEE 3rd International Conference in Power Engineering Applications (ICPEA)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121438114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Implementation of Certainty Level (CL) to Condition Assessment Factor (CAF) Index on High-Voltage Circuit-Breaker (HVCB) on Sulmapana Region","authors":"E. Yulianto, R. A. Prasojo","doi":"10.1109/ICPEA56918.2023.10093159","DOIUrl":"https://doi.org/10.1109/ICPEA56918.2023.10093159","url":null,"abstract":"Condition assessment factor (CAF) for the high voltage circuit breaker (HVCB) developed by the PT PLN Transmission Division of Sulawesi, Maluku, Papua and Nusa Tenggara is an HVCB condition assessment method based on its periodic maintenance data. CAF HVCB uses 6 parameters, which are Contact Resistance, CB Timing, Insulation Resistance, Insulation Quality Test, Anomaly and CB Accessories. Each parameter produce score level and aggregate with different weighting factor to generate CAF value. According on actual conditions, one of the obstacles to generate CAF value is the incomplete of periodic maintenance data. Certainty Level (CL) needed to be included as information with CAF to overcome the problem of incomplete data. CAF and CL are implemented for 185 HVCB based on periodic maintenance data in 2021. The results of the CAF value show that most of the HVCB are in good condition with a high CF value and CL value. On the other hands, vigilance for low CAF and CF values needs to be exercised to ensure that the HVCB maintenance or rescheduling strategy is effective and well planned.","PeriodicalId":297829,"journal":{"name":"2023 IEEE 3rd International Conference in Power Engineering Applications (ICPEA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129475903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Determination of Excitation Current Range to Reduce Self-Heating using LTSpice for Resistance Temperature Detector in Aircraft System","authors":"P. Saad, Amirudin Ahmad, H. Hashim","doi":"10.1109/ICPEA56918.2023.10093215","DOIUrl":"https://doi.org/10.1109/ICPEA56918.2023.10093215","url":null,"abstract":"One of the typical sensors used in aircraft to monitor a wide range of temperatures is Resistance Temperature Detector (RTD). But because it will compromise the precision of the temperature data, self-heating error has grown to be a significant issue for all temperature sensors, including RTD. Increased excitation current is the main reason self-heating issue occurs. In order to reduce the self-heating inaccuracy in RTD, this paper's goal is to examine the excitation current range. To replicate the excitation current that was injected into the Pt 100 RTD (Platinum RTD Standard IEC 751 Class B) and does affect the self-heating error, an experimental technique and comparison with theory were employed in this work. The average excitation current ranges from the experiment, which was carried out at temperatures between -200 °C and 850 °C, is 0.7992 mA to 5.4066 mA, and the self-heating error is between 0.0370 °C and 2.3665 °C. Additionally, 1.85 mA offers as the optimal excitation current at all temperatures.","PeriodicalId":297829,"journal":{"name":"2023 IEEE 3rd International Conference in Power Engineering Applications (ICPEA)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121299554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Distribution Network State Monitoring using Compressive Sampling","authors":"Tang Yuanchun, Li Cui, Zhou Zhaozheng","doi":"10.1109/ICPEA56918.2023.10093180","DOIUrl":"https://doi.org/10.1109/ICPEA56918.2023.10093180","url":null,"abstract":"The application of renewable energy sources complicates the distribution network structure, that raises requirements on a large number of sensors for state monitoring of the network, which causes big challenge on data transmission. Thus a compressive sampling method is proposed in this paper for decreasing the sampling and transmission data of current of the power line. In this method, the discrete cosine transform was first used as orthogonal basis for signal decomposition, then the random Gaussian matrix was applied as the measurement matrix for observation. Finally the signal was reconstructed based on the convex optimization method with L1 parametrization. Simulation results show that the number of sampling points of current at a single node using proposed compressed sampling method could achieved 91.9472% less than the number using Nyquist sampling method. Furthermore, The compressed signal can be reconstructed at the distribution network sub-station, and the RMSE is only 0.5185, which greatly reduces the data required to be transmitted for grid line monitoring and reduces the communication network load to a certain extent.","PeriodicalId":297829,"journal":{"name":"2023 IEEE 3rd International Conference in Power Engineering Applications (ICPEA)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126707659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wong Chin Khang, Siti Amely Jumaat, M. A. Johar, Umar Saleh Abu Bakar
{"title":"Development of Prototype Hybrid Photovoltaic-Thermoelectric (PV-TEG) System","authors":"Wong Chin Khang, Siti Amely Jumaat, M. A. Johar, Umar Saleh Abu Bakar","doi":"10.1109/ICPEA56918.2023.10093157","DOIUrl":"https://doi.org/10.1109/ICPEA56918.2023.10093157","url":null,"abstract":"This paper presents the development and performance of Hybrid Photovoltaic-Thermoelectric (PV-TEG) Generator System in terms of voltage, current and power generated. The Hybrid PV-TEG System combine a one (1) unit of 12V 3W PV module, nine (9) pieces TEG modules and two (2) heat sinks as cooling unit for TEG. The TEG modules put back-to-back to PV panel and this configuration used to decrease the temperature PV panel and solve the heat waste problem. The TEG module uses a heat energy to generate energy, and this can increase the value voltage of Hybrid PV-TEG System. This experiment carried out in three days to collect the data. The higher voltage of PV-TEG at 7th, 8th and 9th June 2022 are 12.28 12.54 and 12.41, respectively. The higher power produce of three days is 0.246W, 0.426W, and 0.261W, respectively. These results show that the Hybrid PV-TEG System has increase the value of voltage, current and power.","PeriodicalId":297829,"journal":{"name":"2023 IEEE 3rd International Conference in Power Engineering Applications (ICPEA)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116223258","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. M. Reza, Muhammad Arif Susetyo, A. B. Heksaprilla, Wismanto Setyadi
{"title":"Correlation of the NOx Emission and Required Area for Designing SCR Facility in Gas Engine Power Plant Based on the Emission Regulation","authors":"A. M. Reza, Muhammad Arif Susetyo, A. B. Heksaprilla, Wismanto Setyadi","doi":"10.1109/ICPEA56918.2023.10093177","DOIUrl":"https://doi.org/10.1109/ICPEA56918.2023.10093177","url":null,"abstract":"To substitute existing power plants with cleaner and environmental-friendly fuel, developing a gas engine power plant (GEPP) is the most appropriate option. GEPP has a lesser emission than common fossil power such as coal-fired, gas turbine, and diesel engine power plants and currently is the best open cycle power plant. The mentioned emissions are nitrous oxide (NOx), sulfur dioxide (SO2), particulate matter (PM), and even carbon dioxide (CO2). This study emphasizes NOx emission as the object. Due to the necessity of more environmentally friendly energy sources in the future, NOx emission regulation may be stringent. Gas engines may need to install NOx reduction equipment such as selective catalytic reduction (SCR) and its facilities whenever it happens. The one that shall be considered is the chemical reactant storage which needs quite a large area to be applied. This study gives a perception to the design engineer of a gas engine power plant on how to estimate the additional space needed when NOx emission regulations become more stringent. The required area estimation will be in the function of ammonia injection dosage, engine specification, fuel specification, operational capacity factor, ammonia purity, and storage time, considering NOx emission regulation.","PeriodicalId":297829,"journal":{"name":"2023 IEEE 3rd International Conference in Power Engineering Applications (ICPEA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129836266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
N. A. Salim, Hasmaini Mohamed, Mohd Endra Shafiq Bin Ensnat, Z. M. Yasin
{"title":"System Transient Stability Due to Various Contingency Using Power World Simulator","authors":"N. A. Salim, Hasmaini Mohamed, Mohd Endra Shafiq Bin Ensnat, Z. M. Yasin","doi":"10.1109/ICPEA56918.2023.10093191","DOIUrl":"https://doi.org/10.1109/ICPEA56918.2023.10093191","url":null,"abstract":"A change in load, switching operation, abrupt faults, and loss excitation are the causes of the transient disturbance. Therefore, it is crucial to regain synchronism or equilibrium upon disruptions to the electrical services. This paper focused on the analysis of transient stability of IEEE 9-bus system using Power World Simulator. The Newton-Raphson approach will be used during the load flow studies to determine the pre-fault conditions in the system. The system's variation in rotor angle, frequency, and voltage will then be investigated with the use of a three-phase balanced fault. It is concluded for different contingency test, there will be rotor deviation, changes in frequency and changes in voltage in per unit. Additionally, the critical clearing time of the system will vary depending on the contingencies test. Investigating the stability of the power system during abrupt and large disturbances is done using transient stability analysis, which is crucial to preserving the safety of power system operation.","PeriodicalId":297829,"journal":{"name":"2023 IEEE 3rd International Conference in Power Engineering Applications (ICPEA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122053300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}