Dynamic Simulation of a PV-Diesel-Battery Hybrid Plant for Off Grid Electricity Supply

Yılmaz, Şaban; Özçalık, Hasan Rıza; Aksu, Mustafa; Karapinar, Celebi

doi:10.1016/j.egypro.2015.07.396

Cited by 26 publications

(6 citation statements)

References 24 publications

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“… Continuous Learning: AI models can be designed to learn from system behavior over time, leading to improved optimization and decision-making capabilities as the system operates and accumu-lates more data.  Energy Market Integration: "AI can facilitate participation in energy markets by predicting electricity prices, allowing the hybrid system to buy or sell electricity strategically, potentially leading to cost savings or revenue generation ( Ghenai & Janajreh, 2016;Lambert et al, 2006;Yilmaz et al, 2015).…”

Section: Opportunitiesmentioning

confidence: 99%

Artificial Intelligence-Enabled Techno-Economic Analysis and Optimization of Grid-Tied Solar PV-Fuel Cell Hybrid Power Systems for Enhanced Performance

Soni,

Bhargavi,

Dave

et al. 2024

E3S Web Conf.

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The incorporation of energy from renewable sources into the power grid is crucial for achieving sustainable and environmentally friendly power generation. This study proposes an artificial intelligence (AI)-enabled methodology for the analysis & optimization of “grid-tied solar photovoltaic (PV)-fuel cell hybrid power systems.” The research aims to demonstrate how AI techniques can assist in decision-making, improve system performance, and achieve higher levels of energy efficiency and financial viability. The study presents the results of a project focusing on a renewable energy system that feeds into the grid and powers a university building. The hybrid power system’s performance and cost were evaluated using unified approaches to modeling, simulation, optimization, and control. The findings indicate that the AI-optimized “solar PV-fuel cell hybrid system connected to the grid” offers excellent performance, meeting 74% of the building’s energy needs through renewable sources. The system also achieved a low levelled price for energy and minimise CO2 emissions, further enhancing its environmental sustainability. The proposed AI-enabled approach proves to be a promising solution for creating grid-connected renewable energy systems with significant benefits for energy efficiency, cost-effectiveness, and environmental impact.

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Section: Opportunitiesmentioning

confidence: 99%

Artificial Intelligence-Enabled Techno-Economic Analysis and Optimization of Grid-Tied Solar PV-Fuel Cell Hybrid Power Systems for Enhanced Performance

Soni,

Bhargavi,

Dave

et al. 2024

E3S Web Conf.

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show abstract

“…Therefore, energy storage is essential to balance supply and demand [3]. Most studies on PV systems with battery storage, commonly known as o↵-grid systems, such as those presented by Dufo-Lopez et al [4], Shezan et al [5], Yilmaz et al [6] and Ghafoor and Munir [7], focus on the optimal sizing of these systems in remote areas that are isolated from grid connection and rely on diesel generators for their power supply. Sizing in these studies was based on determining the power and energy rating of the PV and battery facility respectively.…”

Section: Introductionmentioning

confidence: 99%

Techno-economic feasibility of grid-independent residential roof-top solar PV systems in Muscat, Oman

Al-Saqlawi

Madani

Dowell

2018

Energy Conversion and Management

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Oman is a country characterised by high solar availability, yet very little electricity is produced using solar energy. As the residential sector is the largest consumer of electricity in Oman, we develop a novel approach, using houses in Muscat as a case study, to assess the potential of implementing roof-top solar PV/battery technologies, that operate without recourse to the electricity grid. Such systems target the complete decarbonisation of electricity demand per household and are defined in this study as grid-independent systems. The approach adopted starts with a technical assessment of grid-independent systems that evaluates the characteristics of the solar panel and the battery facility required to provide grid-independence. This is then compared to a similar grid-connected system and any techno-economic targets necessary to enhance the feasibility of residential roof-top PV systems in Muscat are identified. Such an analysis was achieved through developing a detailed techno-economic mathematical model describing four subsystems ; the solar panel DC source, the grid-independent subsystem , the grid-connected subsystem and the economic subsystem. The model was implemented in gPROMS and uses real hourly weather and climate conditions matched with real demand data, over a simulated period of 20 years. The results indicate that, in the context of the system studied, grid-independent PV systems are not feasible. However, combined with a su ciently high electricity price, grid-independent systems can become economically feasible only with significant reductions in battery costs (>90% reductions).

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“…In regions where access to power grid infrastructure is limited the hybrid installations integrated with buildings could be used to provide electric power. In [8] an example of such situation is described on basis of a Turkey region. The complex installation which contains PV panels, diesel and battery was simulated with TRNSYS software.…”

Section: Introductionmentioning

confidence: 99%

Experimental and Numerical Analysis of Photovoltaics System Improvements in Urban Area

Żołądek

Sornek

Papis-Frączek

et al. 2018

Civil and Environmental Engineering Reports

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Nowadays, photovoltaic systems installed in urban areas have to be an essential part of distributed generation systems, and lead to improve energy efficiency of buildings. The paper describes the operation aspects of the 7,5 kWp photovoltaic installation located on the roof of the didactic building of AGH University of Science and Technology. The significant part of the roof Is occupied by HVAC installation, so the periodic shading is occurring. It makes, that a level of energy generated in the PV system is lower than expected. The first part of the test was focused on the validating model of the installation and determine its impact on the CO2 emissions. Then, modifications in the arrangement of the panels were considered (redirecting of additional light stream). Moreover, an economic and environmental analysis of proposed improvements were conducted.

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Dynamic Simulation of a PV-Diesel-Battery Hybrid Plant for Off Grid Electricity Supply

Cited by 26 publications

References 24 publications

Artificial Intelligence-Enabled Techno-Economic Analysis and Optimization of Grid-Tied Solar PV-Fuel Cell Hybrid Power Systems for Enhanced Performance

Artificial Intelligence-Enabled Techno-Economic Analysis and Optimization of Grid-Tied Solar PV-Fuel Cell Hybrid Power Systems for Enhanced Performance

Techno-economic feasibility of grid-independent residential roof-top solar PV systems in Muscat, Oman

Experimental and Numerical Analysis of Photovoltaics System Improvements in Urban Area

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