L'articolo AI solutions for Energy & Utilities proviene da Exprivia.

Companies operating in the environmental sector, both public and private, have to deal with the complexity of waste and resource management on the territory every day. Exprivia has developed Smart Waste Planning Solution to simplify and automate the scheduling of waste disposal orders (WDO), improving operational coordination and overall service efficiency.

SAP Packaged Solution – Exprivia’s Smart Waste Planning Solution, based on the SAP® Business Technology Platform (BTP), digitizes and optimizes the entire WDO planning and management process, providing real-time visibility and intelligent automation.

Key features:

• Create and manage WDO using Scheduler Master.
• Automatic, semi-automatic or manual order scheduling .
• Intelligent allocation of resources (vehicles and operators) according to configurable rules.
• Dynamic replanning in case of unforeseen events.
• Real-time monitoring of WDO status.
• Document cancellation and printing capabilities.
• Intuitive interface to facilitate the work of the service coordinator.

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Exprivia is SAP Partner for Packaged Solutions: it offers qualified, pre-configured and fast-time-to-value SAP solutions that combine software, process skills and specialized services, with clear and predictable costs and implementation times.

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L'articolo Smart Waste Planning proviene da Exprivia.

The customer needs to equip himself with an advanced system capable not only of detecting operating anomalies and leaks of one of his district heating networks, but also of foreseeing future problems. This can be done through analysis of the thermographs that are acquired annually with aerial flyovers and integrate them with other features/data sources in an anomaly detection and predictive analysis tool. The goal is to understand the evolution of the network and its anomalies over time, so as to intelligently plan maintenance interventions and contain waste.

Exprivia Solution

Exprivia is accompanying the partner in the industrialization of a digital platform based on artificial intelligence models (deep learning) for anomaly detection.
Through the collection and mosaic of thermal images of annual flyovers, the system builds a progressive dataset in which anomalies are compared with leak cases verified in the field. Neural networks thus learn to distinguish what is physiological or disturbing elements from what constitutes a significant anomaly.
The result is an intelligent map, capable of sorting and prioritising anomalies according to criteria of severity, extent and potential impact: a useful strategic decision-making tool for the multi-utility. In addition, diachronic monitoring allows you to observe how anomalies evolve, transforming a traditionally reactive approach into a predictive and proactive model.

Results

The platform will make it possible to identify critical points in the network potentially exposed to anomalies or failures in advance and to optimize the planning of interventions, with a positive impact on the economic and environmental level. The multi-utility can thus contain energy losses and improve the overall efficiency of the grid, strengthening its role as a key player in the energy transition of the areas served.

L'articolo Artificial intelligence to support sustainable district heating proviene da Exprivia.

Ad oggi, Il controllo delle Smart Grid è affidato a sistemi SCADA, ossia server dedicati per la supervisione e acquisizione dati utilizzati in fase di distribuzione. Tuttavia, tali sistemi rendono inefficiente l’esercizio delle Smart Grid per diversi motivi.

1) Logiche di controllo cablate (configurazioni hardware o software fisse e non facilmente adattabili o modificabili in tempo reale) e tarature manuali (soglie di allarme, limiti di controllo e tutte le istruzioni impartite a mano da un operatore) che difficilmente possono rispondere alle variazioni delle risorse energetiche presenti in una Smart grid. In particolare dalle fonti rinnovabili, caratterizzati da un comportamento imprevedibile soprattutto in presenza di variazioni atmosferiche.

2) Bassa resilienza su tutte le situazioni che comportano interruzioni sulla rete elettrica quali guasti o black-out.

3) Non adeguati e poco protetti in termini di CyberSecurity.

Emerge dunque, la domanda di un nuovo livello di automazione che integri le tecnologie Industry 4.0 in grado di rispondere in maniera dinamica ed efficiente alle variazioni che avvengono all’interno della Smart Grid. Il progetto ha la finalità di proporre un Energy Management System (EMS) in grado di superare i limiti derivanti da sistemi SCADA tradizionali mediante il supporto di un sistema innovativo basato su tecnologie Edge-Cloud Computing e l’impiego di algoritmi di Intelligenza Artificiale e tecniche di modellazione per analisi di stabilità di una Smart Grid.

Benefici

I benefici del progetto InSite sono mirati:

1. verso gli utenti, consentendo ai gestori della rete di poter offrire servizi di tariffazione intelligente, quindi riduzione dei costi
2. verso la rete elettrica, grazie a maggior resilienza e sicurezza informatica
3. verso l’ambiente, ottimizzando e incentivando l’uso di fonti rinnovabili

Progetto

Exprivia, capofila del progetto, assume il ruolo di coordinatore del progetto e si focalizzerà sulla modellazione ed integrazione del sistema InSite, attraverso i seguenti step:

1) definizione delle specifiche funzionali e architetturali del sistema integrato InSite

2) progettazione e sviluppo dell’infrastruttura Cloud ed adozione di tecniche di CyberSecurity integrate sull’intero processo di sistema

3) progettazione e sviluppo della piattaforma InSite per il supporto alle decisioni da parte dell’operatore

4) divulgazione e comunicazione del progetto InSite per mezzo di pubblicazioni su riviste internazionali di settore e per mezzo di presentazione a convegni nazionali o internazionali

Partner

• EXPRIVIA S.P.A
• Idea75 S.r.l.
• PoliBA DEI (Dipartimento di Ingegneria Elettrica e dell’Informazione)

InSite è stato approvato e ammesso al finanziamento con decreto del Ministero della Transizione Ecologica, 20 settembre 2021, pubblicato su G.U.R.I. n. 234 del 30 settembre 2021, previsto dal Piano triennale 2019-2021 della ricerca del sistema elettrico nazionale

L'articolo INSITE proviene da Exprivia.

The Task Tracker project was developed for Endesa, one of the main players in the energy sector in Spain, with the aim of improving the efficiency and management of wind farms on a national scale.

With this solution, you can monitor, plan and optimize the day-to-day operations, maintenance and surveillance of wind infrastructure, ensuring high performance and minimizing downtime.

Exprivia Solution

A strategic partnership between AWS, Energy Spain Company and ICT Solutions Provider to optimize the monitoring and management of wind infrastructure.

The entire platform has been implemented within Platform Enel, exploiting the potential of its numerous services and integration with AWS.

What does it mean to improve the efficiency of wind farms?

• Real-time monitoring: Interactive dashboards and custom reports to track the operational status of each wind farm.
• Advanced maintenance management: Optimize the planning and execution of maintenance activities, with a positive impact on the life of the plants and the reduction of operating costs.
• Process automation: Digitization and automation of routine operations, allowing teams to focus on more value-added tasks.

Wind energy: the sustainable future of energy

Endesa, committed to the transition to a sustainable future, is expanding its wind and solar farm with the aim of reducing its carbon footprint and increasing production from renewable sources.

The Task Tracker project fits perfectly into this strategy, improving the operational efficiency of the plants and supporting the company on its path towards sustainability. The adoption of advanced technologies makes it possible to make business processes smarter and more optimized, strengthening Endesa’s role as a leader in the production of renewable energy.

L'articolo Platform for advanced wind farm management in Spain proviene da Exprivia.

Enel digital transformation: AWS Exprivia’s Cloud solutions

For years, Enel X has been leveraging advanced AWS cloud solutions in collaboration with Exprivia to improve its IT infrastructure and offer an ever-increasing quality service to its global customers.

Recently, the company successfully completed the migration of its Kubernetes solutions to Elastic Kubernetes Service (Amazon EKS) and Apache Kafka dataflows to Managed Streaming for Apache Kafka (Amazon MSK). This transition was facilitated by the collaboration with Exprivia, which provided the technical and strategic support necessary to ensure a smooth migration of the applications.

Enel X’s migration to Amazon EKS and Amazon MSK

Thanks to Amazon EKS, Enel X now manages its Kubernetes containers more efficiently, benefiting from seamless integration with other AWS services. EKS has enabled smoother management and scalability that is critical to meeting the needs of an ever-expanding market.

At the same time, Amazon MSK has simplified the management of streaming data streams, which is essential for e-mobility applications. With MSK, Enel X has been able to reduce downtime and improve system resilience, ensuring that critical data is always available and protected.

Exprivia Solution

Exprivia for the digital transformation in electric mobility

Exprivia’s support was fundamental to the success of the project. Our technical expertise and ability to manage complex migration processes ensured that the transition went smoothly, allowing Enel X to focus on its mission to innovate in the field of digital transition in the electric mobility sector.

Enel X’s continued digital transformation in the industry demonstrates the importance of adopting advanced and reliable technologies to remain competitive and sustainable in a fast-growing market.

Results

“Partnering with AWS and Exprivia has allowed us to optimize the management of our containers and data flows, which are crucial elements for our daily operations. Migrating to EKS and MSK was a natural fit to support our growth and improve our customers’ experience.”

IT infrastructure optimization: benefits

• Global Scalability: ability to grow rapidly and respond to the needs of customers around the world;
• Efficiency: optimization of resources and reduction of operating costs;
• Reliability: high uptime and simplified management thanks to robust solutions;
• Security: Advanced data protection measures to ensure maximum security.

Technical Details

The company adopted Amazon EKS for Kubernetes and Amazon MSK for Apache Kafka, achieving significant results in terms of scalability, operational efficiency, and system reliability. Going forward, the goal is to continue to expand and optimize AWS solutions to support new features and services, thus ensuring a constant and high-performance evolution of the infrastructure.

L'articolo Optimizing Enel X’s IT infrastructure with AWS Managed Services proviene da Exprivia.

L'articolo Building a sustainable future with RISE WITH SAP proviene da Exprivia.

Needs

The S4@SGI project has set itself the goal of implementing a new integrated system capable of:

• adequately support the development and evolution of operational processes, ensuring the best
  support for characteristic business processes;
• ensure integration between processes by optimizing the flow of communication;
• increasing the efficiency of processes by reducing low value-added activities;
• maintain effective integration with the applications that exist today and that remain in place even in
• presence of the S/4HANA Information System;
• support a solid, flexible application and infrastructure platform open to possible future extensions and equipped with Embedded Analytics functions capable of providing real-time statistical data to support everyday operational processes;
• provide a path of change facilitated for users thanks to the simplifications of the new information system
  , starting with the User Experience.

Exprivia Solution

In response to SGI’s needs and in continuity with the planned digital transformation programming, Exprivia was responsible for the greenfield implementation project of the SAP S/4HANA system vers. 2021 On Premise with SAP Activate methodology: Agile methodology , on which Exprivia operates thanks to the conclusion of a certification process on the phases that see it composed: Prepare, Explore and Realize up to Deploy.

The system went live in January 2023 with the achievement of the objectives that activated the next phase of Run for application maintenance with a 12-month contract from May 2023.

Among the main macro-implementation themes, we can certainly mention: Finance and Control processes, including Treasury and Fixed Assets, Passive and Active Electronic Invoicing, the Controlling model, Purchasing processes and Project System processes.

Results

The migration was the first step that responded to a need for general evolution of the management company in terms of business efficiency which, from the collaboration between Exprivia and SGI, immediately emerged in the project planning and which had an excellent resolution, thanks to the deep professionalism of SGI and the experience of Exprivia, gained in 40 years of digital transformation projects of business processes with a 360-degree vision and cross-industry of activities and solutions.

The advantages noted by the customer deriving from the implementation are: having found in SAP S/4HANA the right answer for the integrated management of business processes with the aim of improving collaboration, supporting the company in choosing data-based decisions and increasing business productivity by standardizing procedures, as well as supporting the processing of reports in management control.

The model implemented also responded to the obligation to be able to produce the necessary reports provided for in the Unbundling by ARERA for the preparation of the financial statements through analytical accounting classified according to the specific accounting dimensions required by the Authority.

In particular, the main dimensions of analysis are Activity, Sub-Fund and Category.

The new SAP Fiori front-end has also been activated, in particular for Analitycs, in addition to the classic SAP GUI.

The SAP system was also interfaced with:

• ARXIVAR, the software for sending and receiving electronic invoices to the SDI
• TeamSystem, for the acquisition of personnel costs
• GIC for billing

Finally, the Data Migration task, included in the scope of the project, was noteworthy.

L'articolo Digital transformation of SGI with SAP S/4HANA proviene da Exprivia.

What is the Single Cartographic Panel?

The Single Cartographic Panel (PUC) is a web application used by Enel to manage, modify and maintain the national electricity grid, including customers. The PUC allows the georeferencing of each element of the electricity grid using GIS and Geoserver technologies. It is a system created to interact with other applications, tools and maps and which uses 3D technology to scan the territory and everything that could be around the ENEL network. Thanks to advanced virtual reality, it is possible to enter the transformer substations “physically” and remotely.

Exprivia Solution

The Single Cartographic Panel has three different Graphical interfaces that allow operators to schedule interventions:

• Design and Budgeting Platform: the purpose of this interface is to design the network in GIS-Driven mode and obtain the technical and commercial estimate on the SAP system (Enel Distribuzione’s ERP system, i.e. a management system for economic final balance). It is possible to estimate changes to the electricity grid through real interventions by a technical team. The interface also makes it possible to follow and indicate the progress of the maintenance work on the national electricity grid in the field for each project protocol and to update (i.e. publish them, making them definitive and permanent) the changes to the operating network through increments;
• Network Editing: In this interface, you can adjust the topology and information of the operating network. You can collect changes or adjustments to the network in a project (or “draft”) and save them for later resumption. These changes can then be validated and updated by permanently making changes to the operating network;
• Electrical Study: this interface, similar to the previous one, allows you to validate the correctness of adjustments to the electricity grid, for a further guarantee of the activity.

Single Cartographic Panel: perimeters of the Exprivia project

Evolutionary development project and application maintenance services of the system carried out by the ICT Infrastructure & Networks (I&N) Solution Center, as part of the process of Development of Networks, Grid Topology & Quality and GIS with geographical coverage of Italy, Spain, Romania and Latin American countries, with particular reference to the Platformization area.

The main technologies and frameworks on which the solution is based are: Geoserver, Java Microservices, Java Reactive, SpringBoot, Kubernetes, Docker and Cloud AWS.

The project activities are carried out in Agile rooms in the Platformization area and include:

• Backend development of the Single Cartographic Panel (PUC) focused on the creation of thematic maps using the properties of the electrical elements and on the implementation of backend services for the editing of the national electricity network;
• Porting topological data to the Platform and developing SpringBoot microservices for their extraction and aggregation. These microservices provide solutions with the network topology data they need for their use cases;
• Creation and maintenance of the CSM Italia incremental motor, to support electrical network design problems through the technical-functional analysis of the network; creation of massive remediation of the spatial data of the network and infrastructure elements; integration and migration of data between different platforms and heterogeneous databases;
• Analysis, design and implementation of microservices and business services related to the new infrastructure of Enel’s GIS platform; management of the cartographic catalogue and its integrations with respect to Enel solutions.

Results

Thanks to these tools, it is possible to implement a more efficient planning of the maintenance activities of the electricity grid , obtaining a real vision of what the operators will find on site. A mapping that makes it possible to assess the presence of any interference with other plants upstream and that supports colleagues in putting in place all the procedures aimed at ensuring the safe execution of activities.

Team technicians also interact with these technological systems: thanks to applications created for smartphones, they are able to view maps, changes made by colleagues and above all to know the characteristics of the network, knowing exactly where to intervene.

A set of tools, therefore, that facilitate and make possible the monitoring of the national electricity grid useful for ensuring more efficient and continuous electricity services .

L'articolo Single Cartographic Panel: the efficiency of planning in the maintenance of electricity grids proviene da Exprivia.

L'articolo A path of integration of the Building Information Modeling methodology within business flows proviene da Exprivia.