Optimization and Comparative Analysis of Solar-Biomass Hybrid Power Generation System Using Homer

Gautam, Jyoti; Ahmed, Md Irfan; Kumar, Pradeep

doi:10.1109/icics.2018.00087

Cited by 19 publications

(3 citation statements)

References 2 publications

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“…To determine how different renewable, and hybrid systems interact with end-use demand, and based on availability and potential of RERs in RAP, HOMER (Hybrid Optimization Model for Electric Renewable [60]) software was used to model a hybrid energy system (HGES). Using Homer, Previous theoretical works on HGESs includes optimization and life-cycle cost [61-65], modeling, design methodology and size optimization of PV based standalone grid connected systems [66][67][68][69].…”

Section: Techno-economic Evaluationmentioning

confidence: 99%

Performance Analysis and Techno-Economic Optimization of Green Energy Systems for Remote Areas in the Maghreb

Siyoucef

Afif

Kobibi

et al. 2021

Technol Econ Smart Grids Sustain Energy

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All interventions that enhance livelihoods of poor rural families in remote areas of the Maghreb will positively impact standard living, involve technological solutions, and likely enhance agricultural production, which in turn can further contribute to poverty reduction. Hybrid green energy systems (HGESs) have been more exploited to supply a mobile base transceiver station (BTS) by clean electricity, or assess the energy availability in smart grids (SGs) of such areas. In this paper, a HGES has been modeled to produce energy from PV/Wind HGES in grid-connected BTS or SG sites, using MATLAB to solve a theoretical model, and simulated with a suitable configuration for performance analysis and optimal sizing. A techno-economic simulation, carried out using the HOMER package, has evaluated such HGES feeding BTS or SG in a remote area-prototype (RAP) of the Maghreb, and optimized the size and assess hybrid PV-Wind system based on weather conditions for RAP. The results may impact rural livelihood and improve standard living of people in such countries.

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Section: Techno-economic Evaluationmentioning

confidence: 99%

Performance Analysis and Techno-Economic Optimization of Green Energy Systems for Remote Areas in the Maghreb

Siyoucef

Afif

Kobibi

et al. 2021

Technol Econ Smart Grids Sustain Energy

View full text Add to dashboard Cite

show abstract

“…In scientific literature, you can find many examples of the application of this software package for solving specific applied problems, for example, to optimize the joint operation of a PV plant with a biofuel installation [24]. You can also find examples of HOMER application to analyze the operation of solar power plants located in different geographical positions, for example, in Georgia [25], the island of Saint Martin [26], Indonesia [27], and India [28].…”

Section: Introductionmentioning

confidence: 99%

Industry Experience of Developing Day-Ahead Photovoltaic Plant Forecasting System Based on Machine Learning

et al. 2020

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This article highlights the industry experience of the development and practical implementation of a short-term photovoltaic forecasting system based on machine learning methods for a real industry-scale photovoltaic power plant implemented in a Russian power system using remote data acquisition. One of the goals of the study is to improve photovoltaic power plants generation forecasting accuracy based on open-source meteorological data, which is provided in regular weather forecasts. In order to improve the robustness of the system in terms of the forecasting accuracy, we apply newly derived feature introduction, a factor obtained as a result of feature engineering procedure, characterizing the relationship between photovoltaic power plant energy production and solar irradiation on a horizontal surface, thus taking into account the impacts of atmospheric and electrical nature. The article scrutinizes the application of different machine learning algorithms, including Random Forest regressor, Gradient Boosting Regressor, Linear Regression and Decision Trees regression, to the remotely obtained data. As a result of the application of the aforementioned approaches together with hyperparameters, tuning and pipelining of the algorithms, the optimal structure, parameters and the application sphere of different regressors were identified for various testing samples. The mathematical model developed within the framework of the study gave us the opportunity to provide robust photovoltaic energy forecasting results with mean accuracy over 92% for mostly-sunny sample days and over 83% for mostly cloudy days with different types of precipitation.

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“…To enhance the energy economy a feasibility study has been suggested by the paper. The author also discusses the environmental, financial and technical perspectives of the system (Gautam et al, 2018;Iqbal et al, 2022c). The feasibility study for the grid-connected hybrid system is the future of the author (Kumar et al, 2019;ur Rehman et al, 2022).…”

mentioning

confidence: 99%

Integration of solar based charging station in power distribution network and charging scheduling of EVs

et al. 2023

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The rapid development of electric vehicles (EVs) such as Easy Bike, Auto-Rickshaw, and Electric Bike is a major contributor to global energy concerns. Although electric vehicles are bringing a new dimension to the transportation sector, with advantages such as being the cheapest method of transportation and emitting fewer greenhouse gases (GHGs), the massive amounts of energy required to charge the electric vehicles is a challenging issue. Pakistan is also moving toward the use of electric vehicles however the absence of charging facilities in Pakistan slows down the charging process and increases the prices for electric vehicle users. Finding the requisite charging without threatening the current power infrastructure is one of the most challenging tasks of the present era. Renewable energy-based charging is required to fulfill the charging demand of electric vehicles. To find the best configuration to meet the necessary daily charging demand, this proposed work undertakes a techno-economic assessment for a novel renewables-based grid-tied charging station. The technical, economic and environmental impacts of Solar based grid-tied charging stations are taken into account. Moreover, the results are justified by considering the losses and building the system model. The suggested strategy decreases energy costs from $.200/kWh to $.016/kWh while reducing grid load by 254,030 kWh/yr. Furthermore, the system completes 7.7 charging sessions every day, using 13% of the electricity generated. The remaining 87% of the electricity is sold back to the grid, which generates significant revenue.

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Optimization and Comparative Analysis of Solar-Biomass Hybrid Power Generation System Using Homer

Cited by 19 publications

References 2 publications

Performance Analysis and Techno-Economic Optimization of Green Energy Systems for Remote Areas in the Maghreb

Performance Analysis and Techno-Economic Optimization of Green Energy Systems for Remote Areas in the Maghreb

Industry Experience of Developing Day-Ahead Photovoltaic Plant Forecasting System Based on Machine Learning

Integration of solar based charging station in power distribution network and charging scheduling of EVs

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