Renewable Energy System Controlled by Open-Source Tools and Digital Twin Model: Zero Energy Port Area in Italy

Today, climate change combined with the energy crisis is accelerating the worldwide adoption of renewable energies through incentive policies. However, due to their intermittent and unpredictable behavior, renewable energy sources need EMS (energy management systems) as well as storage infrastructure. In addition, their complexity requires the implementation of software and hardware means for data acquisition and optimization. The technologies used in these systems are constantly evolving but their current maturity level already makes it possible to design innovative approaches and tools for the operation of renewable energy systems. This work focuses on the use of Internet of Things (IoT) and Digital Twin (DT) technologies for standalone photovoltaic systems. Based on Energetic Macroscopic Representation (EMR) formalism and the Digital Twin (DT) paradigm, we propose a framework to improve energy management in real time. In this article, the digital twin is defined as the combination of the physical system and its digital model, communicating data bi-directionally. Additionally, the digital replica and IoT devices are coupled via MATLAB Simulink as a unified software environment. Experimental tests are carried out to validate the efficiency of the digital twin developed for an autonomous photovoltaic system demonstrator.

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“…However, they use a digital shadow instead of digital twin. We find the same confusion in the articles [ 29 , 30 , 31 , 32 , 33 ].…”

Section: Literature Reviewmentioning

confidence: 62%

Unified Environment for Real Time Control of Hybrid Energy System Using Digital Twin and IoT Approach

Chalal

Saadane

Rachid

2023

Sensors

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“…Integrating the information on the impact of complex terrain phenomenon with machine learning [i.e. Dujardin and Lehning (2022)] and Digital Twin and its integration to Geographical Information System (GIS) (Agostinelli et al, 2022;Yousef et al, 2023;Piras et al, 2024) will also increase the accuracy of monitoring and performance prediction of wind turbines. The present research acts as a step forward in accurately estimating potential wind power and optimally using it for renewable energy production, particularly during periods when it is most needed, i.e., the winter season when power demand is high and other renewable sources are limited.…”

Section: Discussionmentioning

confidence: 99%

Influence of air flow features on alpine wind energy potential

Kristianti,

Gerber,

Gonzàlez-Herrero

et al. 2024

Front. Energy Res.

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Wind energy is one of the potential options to fill the gap in renewable energy production in Switzerland during the winter season when the energy demand exceeds local production capacities. With likely further rising energy consumption in the future, the winter energy deficit may further increase. However, a reliable assessment of wind energy potential in complex terrain remains challenging. To obtain such information, numerical simulations are performed using a combination of the “Consortium for Small-scale Modeling” and “Weather Research and Forecasting” (COSMO-WRF) models initialized and driven by COSMO-1E model, which allows us to simulate the influence of topography at a horizontal resolution of 300 m. Two LiDAR measurement campaigns were conducted in the regions of Lukmanier Pass and Les Diablerets, Switzerland. Observational LiDAR data and measurements from nearby wind sensor networks are used to validate the COSMO-WRF simulations. The simulations show an improved representation of wind speed and direction near the ground compared to COSMO-1E. However, with increasing height and less effect of the terrain, COSMO-WRF tends to overestimate the wind speeds, following the bias that is already present in COSMO-1E. We investigate two characteristic mountain–terrain flow features, namely waves and Foehn. The effect of mountain-induced waves of the flow is investigated through an event that occurred in the area of Diablerets. One-year analysis for the frequency of conditions that are favorable for mountain wave formation is estimated. The Foehn impact on wind was observed in the Lukmanier domain. We attempt quantification of the probability of occurrence using the Foehnix model. The result shows a high probability of Foehn occurrence during the winter and early spring seasons. Our study highlights the importance of incorporating complex terrain-related meteorological events into the wind energy assessment. Furthermore, for an accurate assessment of wind speed in complex terrain, our study suggests the necessity to have a better representation of the topography compared to COSMO-1E.

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“…Standard policies in resource management and increased energy efficiency are produced by improving the accuracy and precision of energy models. DT system was proposed based on the integration of software such as Building Information Modelling (BIM) and GIS (Agostinelli et al, 2022;Piras & Muzi, 2024). The ability to accurately forecast energy needs facilitates efficient and sustainable infrastructure planning (Lamagna et al, 2021).…”

Section: Discussionmentioning

confidence: 99%

Spatial Modelling Analysis for Potential Expansion of Cipanas City Candidate Area as Autonomous City

Somantri

2024

For. Geo.

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The establishment of new autonomous city is considered a significant decision and the proposal has been under review in Cipanas for several years. Therefore, this research aimed to address the proposal by conducting spatial modelling analysis for potential expansion of Cipanas as autonomous city, using Geographic Information System (GIS) method. The physical and social factors were analysed, using spatial overlay analysis to determine potential development area. SWOT analysis was also performed for qualitative insights into strengths, weaknesses, opportunities, and threats of the prospective Cipanas area. The results showed that Cipanas had significant potential to become autonomous city, with a particular focus on agriculture and tourism due to the varied topography and predominant natural land use. Through overlay analysis, areas in Pacet, Cipanas, and a small part of Cugenang Sub-districts were identified as potential development zones for the capital city. In general, Cipanas area was found suitable for the development of a major city with an agropolitan concept. Certain areas were considered more appropriate with urban characteristics compared to other areas based on specific criteria. Based on the results, recommendations include infrastructure improvements, economic sector diversification, tourism promotion, and disaster risk reduction activities. GIS spatial analysis facilitated the accurate identification of potential areas, aiding in mapping and pinpointing optimal areas for the establishment of new autonomous city.

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Renewable Energy System Controlled by Open-Source Tools and Digital Twin Model: Zero Energy Port Area in Italy

Cited by 42 publications

References 70 publications

Unified Environment for Real Time Control of Hybrid Energy System Using Digital Twin and IoT Approach

Unified Environment for Real Time Control of Hybrid Energy System Using Digital Twin and IoT Approach

Influence of air flow features on alpine wind energy potential

Spatial Modelling Analysis for Potential Expansion of Cipanas City Candidate Area as Autonomous City

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