Lilian Kamanja, V. Komarala, V. Dutta, S. Waita, Kahoro Wachira
{"title":"Techno-Economic Analysis of a Rooftop Grid-connected Photovoltaic Solar System: A case study of Jomo Kenyatta University of Agriculture and Technology (SAJOREC)","authors":"Lilian Kamanja, V. Komarala, V. Dutta, S. Waita, Kahoro Wachira","doi":"10.1109/PowerAfrica53997.2022.9905282","DOIUrl":"https://doi.org/10.1109/PowerAfrica53997.2022.9905282","url":null,"abstract":"Solar photovoltaic (PV) system installation can play an essential role in reducing conventional energy consumption and carbon footprint, helping create a green and sustainable environment worldwide. Techno-economic assessment of installing a grid-tied rooftop solar PV (RTSPV) plant at SinoAfrica Joint Research Center (SAJOREC), part of Jomo Kenyatta University of Agriculture and Technology (JKUAT), was done. The energy demand profile for 2019 for the site was determined, and it was found that a 31.7 kWp RTSPV system could meet the demand. The estimated energy produced by the RTSPV system was 4S.S2SMWh/year. The specific production, capacity utilization factor, and the performance ratio obtained were 1541 kWh/kWp/year, 17.5 %, and S3%, respectively. The economic analysis of the project showed that the total project cost was USD 30066. S5. The Levelized Cost of Electricity (LCOE) of 0.10 USD/kWh and Discounted Payback Period ($mathrm{T}_{mathrm{D}mathrm{P}}$) of 4 years obtained indicated that the development of a grid-connected rooftop solar PV system for the JKUAT, SAJOREC area would be technically and economically viable.","PeriodicalId":371237,"journal":{"name":"2022 IEEE PES/IAS PowerAfrica","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129136401","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}
Kihembo Samuel Mumbere, Y. Sasaki, N. Yorino, Y. Zoka, A. Bedawy, Yoshiki Tanioka
{"title":"An Interconnected Prosumer Energy Management System Model for Improved Outage Resilience","authors":"Kihembo Samuel Mumbere, Y. Sasaki, N. Yorino, Y. Zoka, A. Bedawy, Yoshiki Tanioka","doi":"10.1109/PowerAfrica53997.2022.9905352","DOIUrl":"https://doi.org/10.1109/PowerAfrica53997.2022.9905352","url":null,"abstract":"Microgrids (MGs) are characterized by renewable distributed energy sources (DERs) and battery energy storage systems (BESSs) that enable off-grid operation. Some researchers are identifying these traits as capable of improving the dependability of grid networks in the event of significant outages. However, MGs have inherent voltage and frequency fluctuations that often require energy management systems (EMS). While a lot of research has focused on three-phase systems to solve these challenges, the authors of this article consider a single-phase DER interconnected system simulated with MATLAB/Simulink Power System Blockset. The simulated load model is improved to a mixed load that uses two cascaded Second-order Generalized Integrator (SOGI)-based quadrature-signal-generators (QSGs) Phase-locked loop (PLLs) for phase matching. The performance of the improved load model is verified through a group of interconnected prosumers in an off-grid environment with consideration for disaster outage situations, each running a proposed BESS SOC based EMS. The results point to the prevention of power outages for prosumers with a critical SOC over a three-day simulation period, which could help with disaster recovery.","PeriodicalId":371237,"journal":{"name":"2022 IEEE PES/IAS PowerAfrica","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117257003","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":"Multi-Stage Stochastic Electrification Planning under Demand Uncertainty","authors":"Yuang Chen, Beste Basciftci, V. Thomas","doi":"10.1109/PowerAfrica53997.2022.9905247","DOIUrl":"https://doi.org/10.1109/PowerAfrica53997.2022.9905247","url":null,"abstract":"A novel multi-stage stochastic electrification planning model for Sub-Saharan African countries is developed by involving both centralized and decentralized infrastructure, considering future demand uncertainty. A case study of Rwanda shows that for projected annual demand increase rates ranging from 4% to 7% from 2022 to 2028, a deterministic production planning model costs US${$}$1.94B and can result in 25% underbuilt to 49% overbuilt; a two-stage stochastic model reduces over- and under-build risks and costs an expected US ${$}2.09{mathrm {B}}$; the multistage stochastic electrification model also reduces risks and costs US ${$}1.97$, a 6% reduction compared to the two-stage model.","PeriodicalId":371237,"journal":{"name":"2022 IEEE PES/IAS PowerAfrica","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127219096","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}
Connor Dorward, S. Strachan, Shafiqa Keddar, S. Galloway
{"title":"Design of a Low Cost Smart Meter for Capturing Usage Data for Battery-Operated Cooking Devices","authors":"Connor Dorward, S. Strachan, Shafiqa Keddar, S. Galloway","doi":"10.1109/PowerAfrica53997.2022.9905367","DOIUrl":"https://doi.org/10.1109/PowerAfrica53997.2022.9905367","url":null,"abstract":"Around 2.6 billion people still cook using polluting open fires or stoves fueled by biomass, resulting in roughly 4 million deaths annually due to indoor air pollution, significant carbon emissions, deforestation and gender inequality. Battery-operated cooking devices (eCookers) offer a clean, affordable, and reliable alternative to biomass cooking. However, in-field studies have yet to quantify the charging and discharging behavior of eCooker batteries, and how the introduction of novel cooking practices that involve charging a battery to cook will impact consumer adoption. This paper details the design of a low-cost and open source eCooker smart meter, which combines the remote capture of battery status data with qualitative consumer behavioral data using a smartphone. This streamlined data collection technique was shown to provide significantly expedited data collection and automated data analysis required for accurate power system modelling to inform the potential upscale of eCookers in developing countries, and in particular Sub-Saharan Africa (SSA) where clean cooking access rates are the lowest.","PeriodicalId":371237,"journal":{"name":"2022 IEEE PES/IAS PowerAfrica","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126123024","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}
O. Atilola, M. Akorede, G. Olarinoye, A. S. Oladeji
{"title":"Optimal Sizing and Techno-economic Analysis of an Off-grid Solar Photovoltaic System for Rural Electrification","authors":"O. Atilola, M. Akorede, G. Olarinoye, A. S. Oladeji","doi":"10.1109/PowerAfrica53997.2022.9905304","DOIUrl":"https://doi.org/10.1109/PowerAfrica53997.2022.9905304","url":null,"abstract":"The economics of generating electricity is becoming a great challenge to the developing countries, thereby making electricity difficult to be assessed in rural areas that are completely off-grid. For this reason, there is a need to extend electricity to these rural areas by exploring the available renewable energy source in Nigeria. This work was carried out using a remote community in Nigeria as a case study. The electrical load survey of the community was carried out to determine the load demand of the area. The value of S4.6 kWh was obtained as the daily load demand considering the future expansion that will be included in the nearest future, hence the load curve was determined. This work also considered the modelling and optimization of the system components prior to the economic analysis of the project. The BAT algorithm was used as an optimization tool to determine the number of PV modules, battery banks and the capacity of the inverter to be used. At different scenarios, the number of the components varied with the days of autonomy of the energy storage system and PV power rating. The Levelised Cost of Energy (LCOE) was determined to be 0.5034 ${$}$/kWh. Finally, the results were validated against the HOMER software.","PeriodicalId":371237,"journal":{"name":"2022 IEEE PES/IAS PowerAfrica","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124455907","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":"Optimal Location of DSTATCOM Considering Different Load Models Using Bat Algorithm","authors":"Urbanus Mwanzia Ngei, Peter Musau Moses","doi":"10.1109/PowerAfrica53997.2022.9905292","DOIUrl":"https://doi.org/10.1109/PowerAfrica53997.2022.9905292","url":null,"abstract":"Distribution Static Compensator (DSTATCOM) is widely applied in mitigating common power quality problems. Optimal sizing and placement of this compensator is a critical aspect that ensures that power quality problems are mitigated with minimal losses. Bat Algorithm (BA) is chosen to optimize the size and location of DSTATCOM with the aim of minimizing power losses and improving voltage profile. Optimal allocation of DSTATCOM is obtained for both Constant Power (CP) and Constant Current (CI) load models. The success of the optimization algorithm is tested in IEEE-118 bus system. Under the proposed method, when optimally placed single DSTATCOM and optimally placed three DSTATCOMs are used, real power losses are reduced by 22% and 24% respectively for CP load model. For CI load model, when optimally placed single DSTATCOM and optimally placed three DSTATCOMs are used, real power losses are reduced by 18% and 21% respectively.","PeriodicalId":371237,"journal":{"name":"2022 IEEE PES/IAS PowerAfrica","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123692490","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":"Design and Optimization of Hybrid Electrical Energy Storage System for Grid Connected Wind Energy","authors":"Augustin Nkundibiza, Peter Musau Moses","doi":"10.1109/PowerAfrica53997.2022.9905250","DOIUrl":"https://doi.org/10.1109/PowerAfrica53997.2022.9905250","url":null,"abstract":"Connecting the energy generated from wind resources to the grid presents some challenges due to variation of wind profile. The energy produced from wind source varies proportionally to wind speed, if the wind generators are connected to the grid system, it may cause power fluctuations into the grid side and even to the consumers. Installation of electric energy storage system (EESS) between wind generator and grid system can reduce the wind intermittency effects on the power quality. The storage system can be configured into hybrid configuration to enhance the performance of each storage technology. This paper proposes a well-designed and optimized HEES system connected between wind generator and grid system. Economic feasibility of HEES system composed by a lithium-ion battery bank, supercapacitor bank and pumped hydro is conducted. The system is optimized and simulated by HOMER software. After simulation, the results show that at the average annual wind speed of 8m/s, the economics metrics are higher. The internal rate of return is 29%, Net present value is 480${$}$ Million, return on Investment is 25%, levelized cost of electricity is 0.0340${$}$/kWh and payback period are 3.5 years. While at annual average wind speed of 4. 90m/s the internal rate of return is 17%, the Net Present Value is 216 million, the return on investment is 13%, levelized cost of electricity is 0.0244${$}$/kWh and the pay period is 5.8 Years. To make a HEES project more profitable, the site must have a higher annual wind speed.","PeriodicalId":371237,"journal":{"name":"2022 IEEE PES/IAS PowerAfrica","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122479463","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":"Matrix-Based Model For Assessing The Level Of Power System Resilience","authors":"Y. Butanda, M. Edimu, J. Serugunda, A. A. Orwotho","doi":"10.1109/PowerAfrica53997.2022.9905386","DOIUrl":"https://doi.org/10.1109/PowerAfrica53997.2022.9905386","url":null,"abstract":"Sustained large scale outages caused from Low Probability High Impact (LPHI) events have become common in the recent past. Therefore, there is a need to reinforce the power system network so that it can absorb or withstand and adapt to the impacts of LPHI interruptions. This paper presents a model for assessing the level of resilience and the contribution that Distributed Generators (DGs) have on improving the power networks resilience. The assessment is applied on Uganda’s power network considering both existing and future DGs. Results from DIgSILENT software Simulations revealed a significant reduction in the Resilience Quotient (RQ) at each LPHI event upon addition of DGs on the network. These findings conclude that reconfiguring the network to accommodate the DGs improves network resilience by reducing the demand curtailed during LPHI events and also improves reliability through reduction of customers affected and thus increasing energy sales.","PeriodicalId":371237,"journal":{"name":"2022 IEEE PES/IAS PowerAfrica","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124770149","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":"Economic Analysis and Energy Savings of Variable Speed Drives in Fans Application — A Case Study Capwell Milling Factory","authors":"Eric Kiruja Riungu, Peter Musau Moses","doi":"10.1109/PowerAfrica53997.2022.9905336","DOIUrl":"https://doi.org/10.1109/PowerAfrica53997.2022.9905336","url":null,"abstract":"Electric motors consume over 66 percent of electricity in the industry. They account for approximately 45 percent of the global electricity consumption. In most installations, the motors are oversized and inefficiently run. For optimal control and to save on energy, it is important to match the electrical motor applications to their respective load by use of VSDs. Variable speed drives use power electronics to achieve speed control of motors. In this study an experiment was carried out to compare two 75kW aspiration fan in a milling industry, where one fan was connected to star-delta connection and other on VSD. The goal of the experiment was to quantify how much savings could be achieved when using a VSD as compared to star-delta. The study also shows the economic impact when a VSD replaces a star-delta connection.","PeriodicalId":371237,"journal":{"name":"2022 IEEE PES/IAS PowerAfrica","volume":"1987 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125471790","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}