Pub Date : 2021-12-28DOI: 10.1109/ICDRET54330.2021.9752677
Mehedi Hasan Jewel, Md. Suruj Ali, S. Aziz, Parag Kumar Paul, Md. Nur Alam, S. Chowdhury
Variable renewable energy injection into the grid makes the smooth operation of the grid challenging. Demand response enabled smart grid addresses the challenges by managing demand. This work developed a priority based load control system that controls the demand by switching the loads according to the priority depending on grid parameters like voltage and frequency. A laboratory setup has been developed along with a smart meter that can measure the grid voltage and frequency. By measuring the grid voltage and frequency, the device can switch off or on the connected priority loads.
{"title":"Development of a Priority-based Load Management System to Address Variability in RE Power Injection in National Grid","authors":"Mehedi Hasan Jewel, Md. Suruj Ali, S. Aziz, Parag Kumar Paul, Md. Nur Alam, S. Chowdhury","doi":"10.1109/ICDRET54330.2021.9752677","DOIUrl":"https://doi.org/10.1109/ICDRET54330.2021.9752677","url":null,"abstract":"Variable renewable energy injection into the grid makes the smooth operation of the grid challenging. Demand response enabled smart grid addresses the challenges by managing demand. This work developed a priority based load control system that controls the demand by switching the loads according to the priority depending on grid parameters like voltage and frequency. A laboratory setup has been developed along with a smart meter that can measure the grid voltage and frequency. By measuring the grid voltage and frequency, the device can switch off or on the connected priority loads.","PeriodicalId":211114,"journal":{"name":"2021 6th International Conference on Development in Renewable Energy Technology (ICDRET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116938033","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}
Pub Date : 2021-12-28DOI: 10.1109/ICDRET54330.2021.9751794
S. Aziz, S. Chowdhury
The Engreen solar PV power plant at Shorishabari, Jamalpur, is the first large scale grid connected solar PV plant in Bangladesh, and has been operating for over three years. As the first PV plant of its type, it offers insights into the performance of grid connected solar PV in Bangladesh. In this study, we use the monthly data from the power plant for its operating life until the recent month, and the seasonal autoregressive integrated moving average (SARIMA) model to find out the generation trend of the plant. We find that monthly and seasonal differencing is required, and that the model (1,1,8) x (0,1,0)12 is the most suitable. We conduct a forecast for the model to predict electricity generation for the last eight months of our sample period, and find that the forecast traces the actual generation values, but without having the same extreme values. Further scope for research includes longer time series data as it becomes available in the future, and incorporating the effects of exogenous factors such as solar radiation, temperature and grid outages.
{"title":"Early Experience of the Generation Pattern of Grid Connected Solar PV System in Bangladesh: A SARIMA Analysis","authors":"S. Aziz, S. Chowdhury","doi":"10.1109/ICDRET54330.2021.9751794","DOIUrl":"https://doi.org/10.1109/ICDRET54330.2021.9751794","url":null,"abstract":"The Engreen solar PV power plant at Shorishabari, Jamalpur, is the first large scale grid connected solar PV plant in Bangladesh, and has been operating for over three years. As the first PV plant of its type, it offers insights into the performance of grid connected solar PV in Bangladesh. In this study, we use the monthly data from the power plant for its operating life until the recent month, and the seasonal autoregressive integrated moving average (SARIMA) model to find out the generation trend of the plant. We find that monthly and seasonal differencing is required, and that the model (1,1,8) x (0,1,0)12 is the most suitable. We conduct a forecast for the model to predict electricity generation for the last eight months of our sample period, and find that the forecast traces the actual generation values, but without having the same extreme values. Further scope for research includes longer time series data as it becomes available in the future, and incorporating the effects of exogenous factors such as solar radiation, temperature and grid outages.","PeriodicalId":211114,"journal":{"name":"2021 6th International Conference on Development in Renewable Energy Technology (ICDRET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130366068","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}
Pub Date : 2021-12-28DOI: 10.1109/ICDRET54330.2021.9752685
H. Maddah
The utilization of free, renewable, and available solar energy became a focus research area in recent years. Sustainable natural photosensitizers in dye-sensitized solar cells (DSSCs) are among the hot researched topics in the scientific community. Herein, various naturally-sensitized-photoanode-based DSSCs were studied via statistical and machine learning analysis to investigate the possibility to achieve relatively high PCEs in naturally-sensitized DSSCs. Studied photosensitizer (dye) characteristics included chemical structure and bandgap which were correlated to the literature reported PCEs. Input parameters used in models classification training were: the number of π-bonds (PI), the number of anchoring groups (X), HOMO(H)-LUMO(L), and bandgap energy (BG), with only 2 responses regarding the statistical possibility to achieve high PCEs (Yes/No). Both training/testing (80/20)% datasets were carefully chosen to identify the dye controlling parameters responsible for increasing PCEs. The built trained classification models (decision trees) were tested and showed high prediction accuracy. The idea here is to check whether a certain dye and its correlated PCE would achieve below or above the average PCE. Thus, this allowed us to classify the problem according to the selected parameters so that the dyes can be correlated to their BGs and the other parameters. This work shows the potential of applying statistical analysis to natural sensitizers for enhanced charge injection (current density) for renewable, cost-effective, and sustainable energy production.
{"title":"In-Between Randomization Assisted Machine Learning Performance Analysis for Naturally-Sensitized Solar Cells","authors":"H. Maddah","doi":"10.1109/ICDRET54330.2021.9752685","DOIUrl":"https://doi.org/10.1109/ICDRET54330.2021.9752685","url":null,"abstract":"The utilization of free, renewable, and available solar energy became a focus research area in recent years. Sustainable natural photosensitizers in dye-sensitized solar cells (DSSCs) are among the hot researched topics in the scientific community. Herein, various naturally-sensitized-photoanode-based DSSCs were studied via statistical and machine learning analysis to investigate the possibility to achieve relatively high PCEs in naturally-sensitized DSSCs. Studied photosensitizer (dye) characteristics included chemical structure and bandgap which were correlated to the literature reported PCEs. Input parameters used in models classification training were: the number of π-bonds (PI), the number of anchoring groups (X), HOMO(H)-LUMO(L), and bandgap energy (BG), with only 2 responses regarding the statistical possibility to achieve high PCEs (Yes/No). Both training/testing (80/20)% datasets were carefully chosen to identify the dye controlling parameters responsible for increasing PCEs. The built trained classification models (decision trees) were tested and showed high prediction accuracy. The idea here is to check whether a certain dye and its correlated PCE would achieve below or above the average PCE. Thus, this allowed us to classify the problem according to the selected parameters so that the dyes can be correlated to their BGs and the other parameters. This work shows the potential of applying statistical analysis to natural sensitizers for enhanced charge injection (current density) for renewable, cost-effective, and sustainable energy production.","PeriodicalId":211114,"journal":{"name":"2021 6th International Conference on Development in Renewable Energy Technology (ICDRET)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125082064","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}
Pub Date : 2021-12-28DOI: 10.1109/ICDRET54330.2021.9752678
Kazi Zobair Alam, Hadi Istiak Ahmed, Mohammad Rubaiyat Tanvir Hossain
The proliferation of Electric Vehicles (EV) in recent times paves the way for cheaper transportation costs, lower GHG emissions, etc. However, the requirement for charging the EV batteries and lack of sufficient Electric Vehicle Charging Station (EVCS) in Bangladesh linger the time and incur a higher cost from the EV owners. Most EV owners harness power from the residential connection illegally and cause power system loss by paying the bill as the residential consumer. Moreover, the non-linear characteristics of the EV charger affect the grid power quality by injecting harmonics, causing voltage fluctuation and power loss. To overcome the problems, this research focuses on utilizing Human Excreta and Biodegradable Municipal Solid Waste (MSW) to generate electricity through Biogas for EV charging. The proposed model is developed using MATLAB Simulink software, and a techno-economic conclusion is made to ensure the design's feasibility and sustainability.
{"title":"Potentiality Evaluation of Human Excreta and Biodegradable Municipal Solid Waste to Generate Electricity Through Biogas for Electric Vehicle Charging Stations","authors":"Kazi Zobair Alam, Hadi Istiak Ahmed, Mohammad Rubaiyat Tanvir Hossain","doi":"10.1109/ICDRET54330.2021.9752678","DOIUrl":"https://doi.org/10.1109/ICDRET54330.2021.9752678","url":null,"abstract":"The proliferation of Electric Vehicles (EV) in recent times paves the way for cheaper transportation costs, lower GHG emissions, etc. However, the requirement for charging the EV batteries and lack of sufficient Electric Vehicle Charging Station (EVCS) in Bangladesh linger the time and incur a higher cost from the EV owners. Most EV owners harness power from the residential connection illegally and cause power system loss by paying the bill as the residential consumer. Moreover, the non-linear characteristics of the EV charger affect the grid power quality by injecting harmonics, causing voltage fluctuation and power loss. To overcome the problems, this research focuses on utilizing Human Excreta and Biodegradable Municipal Solid Waste (MSW) to generate electricity through Biogas for EV charging. The proposed model is developed using MATLAB Simulink software, and a techno-economic conclusion is made to ensure the design's feasibility and sustainability.","PeriodicalId":211114,"journal":{"name":"2021 6th International Conference on Development in Renewable Energy Technology (ICDRET)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124034766","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}
In this research, a stand-alone PV/Wind/Diesel Gen-erator/ Battery-based hybrid microgrid for a Rohingya refugee community in Kutupalong, Ukhia, Cox's Bazar, Bangladesh, is optimally designed and assessed. Its power system responses are considered and a load-following dispatch strategy is implemented. A previous study on this topic, in which a dispatch strategy and power system response-based analysis was not conducted for the design of an optimal microgrid for the same proposed location, was used as a reference. In this current study, the optimal costs, component sizes and greenhouse gas emissions of the proposed microgrid were reduced by significant amounts compared with those in the referenced one for the similar load profile of 29.44 kW by implementing load-following dispatch control. HOMER Pro was used to obtain optimal sizing and the microgrid's design, and Simulink for power system responses. This analysis would also be suitable for other locations with identical meteorological and load profiles.
{"title":"Design and Assessment of a Standalone Hybrid Mode Microgrid for the Rohingya Refugees Using Load Following Dispatch Strategy","authors":"Md. Fatin Ishraque, Md. Shajid Hussain, Md. Sohel Rana, Md. Hassanul Karim Roni, S. Shezan","doi":"10.1109/ICDRET54330.2021.9751791","DOIUrl":"https://doi.org/10.1109/ICDRET54330.2021.9751791","url":null,"abstract":"In this research, a stand-alone PV/Wind/Diesel Gen-erator/ Battery-based hybrid microgrid for a Rohingya refugee community in Kutupalong, Ukhia, Cox's Bazar, Bangladesh, is optimally designed and assessed. Its power system responses are considered and a load-following dispatch strategy is implemented. A previous study on this topic, in which a dispatch strategy and power system response-based analysis was not conducted for the design of an optimal microgrid for the same proposed location, was used as a reference. In this current study, the optimal costs, component sizes and greenhouse gas emissions of the proposed microgrid were reduced by significant amounts compared with those in the referenced one for the similar load profile of 29.44 kW by implementing load-following dispatch control. HOMER Pro was used to obtain optimal sizing and the microgrid's design, and Simulink for power system responses. This analysis would also be suitable for other locations with identical meteorological and load profiles.","PeriodicalId":211114,"journal":{"name":"2021 6th International Conference on Development in Renewable Energy Technology (ICDRET)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127972064","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}
Pub Date : 2021-12-28DOI: 10.1109/ICDRET54330.2021.9752684
Sharmin Jahan, Rudaina Tasnuva, M. A. Matin
Organic and inorganic lead halide perovskites due to their low weight, high efficiency, and low cost, have played an important role in photovoltaic (PV) technology during the last decade. As an absorber layer, methylammonium lead bromide-based perovskite cells have a bandgap of 2.3 eV, which makes them compatible for tandem structures with CdTe solar cells with an energy gap of 1.45 eV. A low-cost device configuration model for the perovskite-CdTe tandem solar cell has been developed utilizing wx-AMPS simulation in this research. The single-junction perovskite solar cell has an efficiency of 21.8% and the single junction CdTe solar cell has an efficiency of 25.71%. The thickness and dopant concentration of absorber layers, i.e. perovskite and CdTe, the hole transport material (HTM), electron transport material (ETM), and the device temperature all have a role in influencing the solar cell output parameters and performance. The ideal CdTe and perovskite thicknesses were determined to be 4 µm and 6 µm, respectively at which the best efficiency was found. With an open-circuit voltage of 0.9997 V, a short circuit current of 33.91 mA/cm2, and a fill factor of 87 %, the efficiency of the FTO(TCO)/TiO2(ETL)/CH3NH3PbBr3/Cu2O(HTL)/CdS(Tunnel Junction),/CdS (Window layer)/CdTe tandem solar cell is 29.5%. This structure has been designed to improve the stability of the solar cell when the temperature rises, which is important for the commercial viability of perovskite solar cells (PSC).
{"title":"Improving the efficiency and stability of Perovskite-CdTe tandem solar cell: A numerical simulation study with wx-AMPS","authors":"Sharmin Jahan, Rudaina Tasnuva, M. A. Matin","doi":"10.1109/ICDRET54330.2021.9752684","DOIUrl":"https://doi.org/10.1109/ICDRET54330.2021.9752684","url":null,"abstract":"Organic and inorganic lead halide perovskites due to their low weight, high efficiency, and low cost, have played an important role in photovoltaic (PV) technology during the last decade. As an absorber layer, methylammonium lead bromide-based perovskite cells have a bandgap of 2.3 eV, which makes them compatible for tandem structures with CdTe solar cells with an energy gap of 1.45 eV. A low-cost device configuration model for the perovskite-CdTe tandem solar cell has been developed utilizing wx-AMPS simulation in this research. The single-junction perovskite solar cell has an efficiency of 21.8% and the single junction CdTe solar cell has an efficiency of 25.71%. The thickness and dopant concentration of absorber layers, i.e. perovskite and CdTe, the hole transport material (HTM), electron transport material (ETM), and the device temperature all have a role in influencing the solar cell output parameters and performance. The ideal CdTe and perovskite thicknesses were determined to be 4 µm and 6 µm, respectively at which the best efficiency was found. With an open-circuit voltage of 0.9997 V, a short circuit current of 33.91 mA/cm2, and a fill factor of 87 %, the efficiency of the FTO(TCO)/TiO2(ETL)/CH3NH3PbBr3/Cu2O(HTL)/CdS(Tunnel Junction),/CdS (Window layer)/CdTe tandem solar cell is 29.5%. This structure has been designed to improve the stability of the solar cell when the temperature rises, which is important for the commercial viability of perovskite solar cells (PSC).","PeriodicalId":211114,"journal":{"name":"2021 6th International Conference on Development in Renewable Energy Technology (ICDRET)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129427140","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}
Pub Date : 2021-12-28DOI: 10.1109/ICDRET54330.2021.9751793
Ahamad Sazzad Jewel, T. K. Roy
A fast power reaching law-based double sliding mode controller (FPRL-DISMC) is proposed in this study to alleviate the sub-synchronous resonance (SSR) in a DFIG-based wind farm. The rotor side converter (RSC) has a larger influence on minimizing SSR effects than the grid-side converter (GSC), and the suggested controller is just for RSCs. Furthermore, because the suggested controller has a robustness property against external and parametric uncertainties, these uncertainties are taken into account when the controller is constructed using the RSC model. Following that, the proposed approach is used to generate the control law, and the overall stability of the RSC dynamic is ensured using the well-known Lyapunov theory. Finally, a simulation study is undertaken under various compensation levels to validate the utility of the suggested. The suggested controller's performance is compared to that of the existing controller to demonstrate its superiority.
{"title":"Design of Double-Integral Sliding Mode Controllers to Mitigate SSR Problems in DFIG-Based Wind Farms Using Fast Power Reaching Laws","authors":"Ahamad Sazzad Jewel, T. K. Roy","doi":"10.1109/ICDRET54330.2021.9751793","DOIUrl":"https://doi.org/10.1109/ICDRET54330.2021.9751793","url":null,"abstract":"A fast power reaching law-based double sliding mode controller (FPRL-DISMC) is proposed in this study to alleviate the sub-synchronous resonance (SSR) in a DFIG-based wind farm. The rotor side converter (RSC) has a larger influence on minimizing SSR effects than the grid-side converter (GSC), and the suggested controller is just for RSCs. Furthermore, because the suggested controller has a robustness property against external and parametric uncertainties, these uncertainties are taken into account when the controller is constructed using the RSC model. Following that, the proposed approach is used to generate the control law, and the overall stability of the RSC dynamic is ensured using the well-known Lyapunov theory. Finally, a simulation study is undertaken under various compensation levels to validate the utility of the suggested. The suggested controller's performance is compared to that of the existing controller to demonstrate its superiority.","PeriodicalId":211114,"journal":{"name":"2021 6th International Conference on Development in Renewable Energy Technology (ICDRET)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126617522","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}
Pub Date : 2021-12-28DOI: 10.1109/ICDRET54330.2021.9751792
E. R. J. Sajonia, L. M. Dagsa
Integrating an intelligent control and management system on solar streetlights has an advanced impact in improving its system efficiency. The study developed a system for collecting, analyzing, and monitoring information on streetlight infrastructure in remote areas using IOT-based technology utilizing a Kalman filter estimation method. A solar street light controller is integrated into the conventional intelligent streetlight PV system using a plurality of Gravity I2C digital wattmeter, and LILYGO TTGO T-Call V1.5 that includes a real-time collection and logging of data. The study utilized open-source software such as PHP framework and MySQL database to display the battery and solar panel status online. The Kalman filter algorithm with modified initialization was used to estimate the bus voltage and load current. Data acquisition is in a one-minute interval based on the IEC61724 standard. The study assists the local community units by integrating effective and intelligent monitoring of their solar street lights. Moreover, the study performs an advanced development in embedded systems for energy conservation of street lights system and reduction of the maintenance cost.
{"title":"IoT-Based Smart Street Light Monitoring System with Kalman Filter Estimation","authors":"E. R. J. Sajonia, L. M. Dagsa","doi":"10.1109/ICDRET54330.2021.9751792","DOIUrl":"https://doi.org/10.1109/ICDRET54330.2021.9751792","url":null,"abstract":"Integrating an intelligent control and management system on solar streetlights has an advanced impact in improving its system efficiency. The study developed a system for collecting, analyzing, and monitoring information on streetlight infrastructure in remote areas using IOT-based technology utilizing a Kalman filter estimation method. A solar street light controller is integrated into the conventional intelligent streetlight PV system using a plurality of Gravity I2C digital wattmeter, and LILYGO TTGO T-Call V1.5 that includes a real-time collection and logging of data. The study utilized open-source software such as PHP framework and MySQL database to display the battery and solar panel status online. The Kalman filter algorithm with modified initialization was used to estimate the bus voltage and load current. Data acquisition is in a one-minute interval based on the IEC61724 standard. The study assists the local community units by integrating effective and intelligent monitoring of their solar street lights. Moreover, the study performs an advanced development in embedded systems for energy conservation of street lights system and reduction of the maintenance cost.","PeriodicalId":211114,"journal":{"name":"2021 6th International Conference on Development in Renewable Energy Technology (ICDRET)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126661231","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}
Pub Date : 2021-12-28DOI: 10.1109/icdret54330.2021.9751787
{"title":"Copyright","authors":"","doi":"10.1109/icdret54330.2021.9751787","DOIUrl":"https://doi.org/10.1109/icdret54330.2021.9751787","url":null,"abstract":"","PeriodicalId":211114,"journal":{"name":"2021 6th International Conference on Development in Renewable Energy Technology (ICDRET)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116632567","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}
Pub Date : 2021-12-28DOI: 10.1109/ICDRET54330.2021.9752680
Nadim Reza Khandaker, M. Moshiur Rahman, Farzana Islam Khan
Rice is a staple of any South Asian or even greater Asian household diet. Particularly, in Bhutan, at least two meals are based on the main staple of rice. The process of cooking rice in this culture is to boil the rice in water till the rice grain is soft. Then the liquid is completely decanted out the from the rice. Finally, the rice is simmered down in low heat. The decanted liquid is, in most cases, dumped down the sink as grey water to the drain in most urban and rural settings. This wastewater is high in biochemical oxygen demand and contributes to surface water pollution by adding nutrients to the water bodies unless treated. In this research, in a student hostel in the Kingdom of Bhutan, rice cooking wastewater was used to generate biogas using an anaerobic up-flow sludge blanket reactor. The generated biogas was used for cooking lentils, another daily staple in the South Asian diet. This paper reports on the design and efficacy of operation of the reactor, generation potential of the biogas for the rice cooking wastewater with sufficient methane content to sustain combustion and application to thermal cooking on a sustained daily basis. The reactor feed rate was 10 L/hour of rice cooking wastewater producing 1.2 m3 of biogas over a 24-hr period. The reactor was operated at mesophilic operating temperature and a hydraulic retention time of 48 hrs. Mass balance showed that 1.0 L of rice cooking wastewater produces 5.0 L of biogas. This research shows the classic successful conversion of a waste to useful energy, a successful example of the new nexus of operation in a circular economy.
{"title":"Action Research in Bhutan: Production of Biogas from Rice Cooking Generated Wastewater","authors":"Nadim Reza Khandaker, M. Moshiur Rahman, Farzana Islam Khan","doi":"10.1109/ICDRET54330.2021.9752680","DOIUrl":"https://doi.org/10.1109/ICDRET54330.2021.9752680","url":null,"abstract":"Rice is a staple of any South Asian or even greater Asian household diet. Particularly, in Bhutan, at least two meals are based on the main staple of rice. The process of cooking rice in this culture is to boil the rice in water till the rice grain is soft. Then the liquid is completely decanted out the from the rice. Finally, the rice is simmered down in low heat. The decanted liquid is, in most cases, dumped down the sink as grey water to the drain in most urban and rural settings. This wastewater is high in biochemical oxygen demand and contributes to surface water pollution by adding nutrients to the water bodies unless treated. In this research, in a student hostel in the Kingdom of Bhutan, rice cooking wastewater was used to generate biogas using an anaerobic up-flow sludge blanket reactor. The generated biogas was used for cooking lentils, another daily staple in the South Asian diet. This paper reports on the design and efficacy of operation of the reactor, generation potential of the biogas for the rice cooking wastewater with sufficient methane content to sustain combustion and application to thermal cooking on a sustained daily basis. The reactor feed rate was 10 L/hour of rice cooking wastewater producing 1.2 m3 of biogas over a 24-hr period. The reactor was operated at mesophilic operating temperature and a hydraulic retention time of 48 hrs. Mass balance showed that 1.0 L of rice cooking wastewater produces 5.0 L of biogas. This research shows the classic successful conversion of a waste to useful energy, a successful example of the new nexus of operation in a circular economy.","PeriodicalId":211114,"journal":{"name":"2021 6th International Conference on Development in Renewable Energy Technology (ICDRET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128755290","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}
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