Optimization of solar energy using MPPT techniques and industry 4.0 modelling

Patra, Bipasa; Nema, Pragya; Khan, Mohd Zaheen; Khan, Osama

doi:10.1016/j.susoc.2022.10.001

Cited by 25 publications

(11 citation statements)

References 22 publications

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“…Predictive maintenance [38], utilizing artificial intelligence (AI) [39] and machine learning, helps in scheduling maintenance before breakdowns [40]. Optimization in supply chain management [41], development of smart buildings [42], and manufacturing energy-efficient products [42] contribute to reducing energy waste [43].…”

Section: Active Small Consumers In the Energy Marketmentioning

confidence: 99%

Assessment of Energy and Heat Consumption Trends and Forecasting in the Small Consumer Sector in Poland Based on Historical Data

Gajdzik,

Jaciow,

Wolniak

et al. 2023

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The paper outlines the methodology employed for desk-based research, which involved gathering and analyzing empirical data on energy and heating consumption in the Polish small consumer sector. Secondary sources, including reports, documents, scientific publications, and public statistics, were utilized to ensure a comprehensive understanding of the subject matter. The research methodology ensured the acquisition and examination of reliable and extensive data regarding energy and heat consumption among small consumers in Poland. The study investigated consumption trends of hard coal, electricity, and natural gas in Polish households from 2006 to 2021. The findings revealed an increasing pattern in electricity and natural gas consumption, alongside a simultaneous decline in the usage of hard coal. Future consumption was estimated using trend models, and factors contributing to changes in energy consumption patterns were examined, with forecasts to 2027. To achieve decarbonization and address climate objectives, the study underscores the need to increase the proportion of renewable energy sources and boost energy efficiency. The significance of reducing household energy consumption through enhanced insulation, smart energy management systems, and low-carbon alternatives is emphasized. Additionally, the study addresses Poland’s future energy plans as a proactive step toward decarbonizing the national economy. In summary, the study furnishes valuable insights into energy consumption trends and their determinants in the Polish small consumer sector.

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Section: Active Small Consumers In the Energy Marketmentioning

confidence: 99%

Assessment of Energy and Heat Consumption Trends and Forecasting in the Small Consumer Sector in Poland Based on Historical Data

Gajdzik,

Jaciow,

Wolniak

et al. 2023

Resources

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“…At an individual level, everyone can contribute by using such sustainable fuels with a smaller data set. Also, future researchers will have a feasible model that can yield efficient valuable experimental values for potential upcoming feedstocks being sustainable in nature. − …”

Section: Academic Contribution Of the Researchmentioning

confidence: 99%

“…Also, future researchers will have a feasible model that can yield efficient valuable experimental values for potential upcoming feedstocks being sustainable in nature. 49 − 51 …”

Section: Academic Contribution Of the Researchmentioning

confidence: 99%

Comparative Study of Soft Computing and Metaheuristic Models in Developing Reduced Exhaust Emission Characteristics for Diesel Engine Fueled with Various Blends of Biodiesel and Metallic Nanoadditive Mixtures: An ANFIS–GA–HSA Approach

Khan

Alam³

et al. 2023

ACS Omega

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Since the discovery of petrol-based products, a surge in energy-requiring equipment has been established across the world. Recent depletion of the existing crude oil resources has motivated researchers to opt for and analyze potential fuels that could potentially provide a cost-effective and sustainable solution. The current study selects a waste plant known as Eichhornia crassipes through which biodiesel is generated, and its blends are tested in diesel engines for feasibility. Different models using soft computing and metaheuristic techniques are employed for the accurate prediction of performance and exhaust characteristics. The blends are further mixed with nanoadditives, thereby exploring and comparing the changes in performance characteristics. The input attributes considered in the study comprise engine load, blend percentage, nanoparticle concentration, and injection pressure, while the outcomes are brake thermal efficiency, brake specific energy consumption, carbon monoxide, unburnt hydrocarbon, and oxides of nitrogen. Models were further ranked and chosen based on their set of attributes using the ranking technique. The ranking criteria for models were based on cost, accuracy, and skill requirement. The ANFIS harmony search algorithm (HSA) reported a lower error rate, while the ANFIS model reported the lowest cost. The optimal combination achieved was 20.80 kW, 2.48047, 150.501 ppm, 4.05025 ppm, and 0.018326% for brake thermal efficiency (BTE), brake specific energy consumption (BSEC), oxides of nitrogen (NOx), unburnt hydrocarbons (UBHC), and carbon monoxide (CO), respectively, thereby furnishing better results than the adaptive neuro-fuzzy interface system (ANFIS) and the ANFIS−genetic algorithm model. Henceforth, integrating the results of ANFIS with an optimization technique with the harmony search algorithm (HSA) yields accurate results but at a comparatively higher cost.

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“…The next step is to model the chopper with its control system [15]. It is important to know that several combinations are possible depending on the type of chopper and MPPT [16], [17] chosen. In the case of this study, the chosen configuration is a boost chopper and as a type of MPPT, an incremental inductance.…”

Section: B Association Of Photovoltaic Cellsmentioning

confidence: 99%

Ecological impact due to the implementation of a modeled and optimized hybrid system

Echarradi

Benlafkih

Hadjoudja

et al. 2023

IJECE

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<span lang="EN-US">This paper presents a very alarming forecasts about our future and particularly for a medium and long-term future. That is to say, several actions are being carried out by different civil and state parties to deal with these very concrete threats. And it is within this framework that this paper fits, and its objective is to highlight the hybrid systems and more precisely the photovoltaic-wind hybrid systems coupled with storage batteries, as an efficient alternative to the classical means of electricity production. This work will adopt a method of obtaining results called performance evaluation, so this manuscript will present firstly the mathematical model of this hybrid system to best conceive what it is about, then as second part will determine the exact figures of the largest amount of carbon dioxide (CO<sub>2</sub>) that can be avoided using this technology and following a precise methodology, this can be applied to our situation, i.e., a simple house or to any other type of installation.</span>

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Optimization of solar energy using MPPT techniques and industry 4.0 modelling

Cited by 25 publications

References 22 publications

Assessment of Energy and Heat Consumption Trends and Forecasting in the Small Consumer Sector in Poland Based on Historical Data

Assessment of Energy and Heat Consumption Trends and Forecasting in the Small Consumer Sector in Poland Based on Historical Data

Comparative Study of Soft Computing and Metaheuristic Models in Developing Reduced Exhaust Emission Characteristics for Diesel Engine Fueled with Various Blends of Biodiesel and Metallic Nanoadditive Mixtures: An ANFIS–GA–HSA Approach

Ecological impact due to the implementation of a modeled and optimized hybrid system

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