Optimizing the self-consumption of residential photovoltaic energy and quantification of the impact of production forecast uncertainties

Amabile, Loris; Bresch‐Pietri, Delphine; Hajje, Gilbert El; Labbé, Sébastien; Petit, Nicolas

doi:10.1016/j.adapen.2021.100020

Cited by 40 publications

(14 citation statements)

References 20 publications

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“…However, due to the feature of the ship, it has been mainly installed and used on land rather than ships due to the loading of cargo and the limitation of the installation space on the deck. In order to use this system more effectively, research on cost-benefits [25], optimization of the residential solar system [26], and research to investigate the efficient installation status of solar panels [27] have been conducted. In addition, studies on the efficient use of energy storage devices such as lithium batteries with the solar PV system was conducted [28], and a hybrid power generation system including those with diesel generators was also performed [29].…”

Section: Holistic Environmental Impacts Of Pv Electric Shipsmentioning

confidence: 99%

Live-Life cycle assessment of the electric propulsion ship using solar PV

et al. 2022

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Section: Holistic Environmental Impacts Of Pv Electric Shipsmentioning

confidence: 99%

Live-Life cycle assessment of the electric propulsion ship using solar PV

et al. 2022

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“…The goal after acquiring data from different system components was to look for correlations between different KPIs, so the open-pit site managers could have insights about the causes of problems and act as rapidly as possible. In this study we used the fast forest quantile regression to make a data-driven model [7,10] on the impact of different stages on the specific and the general open-pit energy consumption [11].…”

Section: Finding Correlations Between the Kpis Of Energy Consumption And Mine Production Processmentioning

confidence: 99%

“…Energy management is becoming a more important component of industrial energy efficiency strategies. Recent work indicates that the mining industry is still in the early phase of energy 4.0, digital twins [18] application and the transition [10]. Knowing that industrial businesses are scrutinizing their energy profiles more thoroughly for cost-cutting, decarbonization, and resilience purposes.…”

Section: State Of Art Of the Smart Energy Management Systems 41 Introductionmentioning

confidence: 99%

Smart Energy Management System: Design of a Monitoring and Peak Load Forecasting System for an Experimental Open-Pit Mine

Laayati

Bouzi

Chebak

2022

ASI

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Digitization in the mining industry and machine learning applications have improved the production by showing insights in different components. Energy consumption is one of the key components to improve the industry’s performance in a smart way that requires a very low investment. This study represents a new hardware, software, and data processing infrastructure for open-pit mines to overcome the energy 4.0 transition and digital transformation. The main goal of this infrastructure is adding an artificial intelligence layer to energy use in an experimental open-pit mine and giving insights on energy consumption and electrical grid quality. The achievement of these goals will ease the decision-making stage for maintenance and energy managers according to ISO 50001 standards. In order to minimize the energy consumption, which impact directly the profit and the efficiency of the industry, a design of a monitoring and peak load forecasting system was proposed and tested on the experimental open-pit mine of Benguerir. The main challenges of the application were the monitoring of typical loads machines per stage, feeding the supervisors by real time energy data on the same process SCADA view, parallel integrating hardware solutions to the same process control system, proposing a fast forest quantile regression algorithm to predict the energy demand response based on the data of different historical scenarios, finding correlations between the KPIs of energy consumption, mine production process and giving global insights on the electrical grid quality.

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“…where E SC(n) and E SC(n−1) are the calculated E SC for the system with the SCM numbers m and m − 1, respectively. The total energy management for the selected PV/grid system is calculated for each time step ∆t = t 2 − t 1 = 1 min, which can be describe as [36][37][38][39]:…”

Section: Energy Self-consumption (E Sc ) and Energy Self-sufficiency (E Ss )mentioning

confidence: 99%

Self-Consumption and Self-Sufficiency Improvement for Photovoltaic System Integrated with Ultra-Supercapacitor

Hassan

Jaszczur

2021

Energies

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This research study uses a computer simulation based on real input data to examine the impact of a supercapacitor module working as a fast response energy storage unit in renewable energy systems to increase energy self-consumption and self-sufficiency. The evaluated system includes a photovoltaic system with a capacity of 3.0 kWp and between 0 and 5 supercapacitor units with a capacity of 500 F per module. The study was carried out using experimental data for electrical load, solar irradiance, and ambient temperature for the year 2020, with a 1 min temporal resolution. The daily average ambient temperature was 10.7 °C, and the daily average solar irradiance was 3.1 kWh/m2/day. It is assumed that the supercapacitor could only be charged from a photovoltaic system using renewable energy and not from the grid. The simulation results showed that using the supercapacitors to feed the short and large peaks of the electrical load significantly increases energy self-consumption and self-sufficiency. With only five supercapacitor modules, yearly energy self-sufficiency increases from 28.09% to 40.77%.

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Optimizing the self-consumption of residential photovoltaic energy and quantification of the impact of production forecast uncertainties

Cited by 40 publications

References 20 publications

Live-Life cycle assessment of the electric propulsion ship using solar PV

Live-Life cycle assessment of the electric propulsion ship using solar PV

Smart Energy Management System: Design of a Monitoring and Peak Load Forecasting System for an Experimental Open-Pit Mine

Self-Consumption and Self-Sufficiency Improvement for Photovoltaic System Integrated with Ultra-Supercapacitor

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