Privacy Policy

Our privacy policy at a glance.

We reserve the right to modify this privacy policy on our own initiative. If material changes to this privacy policy affect the personal data collected, we will notify you in a manner customary for us to communicate with you (e.g., by email or by posting on our platform). Our privacy policy will also state the date it was last amended.

We collect your personal data when you visit our website, subscribe to our newsletter, register for one of our events, and when you collaborate or communicate with us. We mainly process your identity and contact details (such as your e-mail address).

We use your personal data solely for the purpose for which you provided it, such as making our website available to you, sending our newsletter if you are subscribed, organizing our events, and communicating with you to collaborate with you or to answer your question or request.

In principle, we do not share your personal data with third parties (with the exception of the O-CEI project partners, our employees and suppliers, or authorities if we have to comply with a request). We ensure that your personal data remains secure.

You have the right to access, rectify, erase your personal data, or to object to or limit the processing thereof. If you want to exercise your rights, please send an e-mail to info@o-cei.eu or submit your request via our GDPR form here.

Privacy Policy

We are very delighted that you have shown interest in the O-CEI project. We attach great importance to the security and confidentiality of your personal data. This privacy policy informs you about the processing of your personal data and was last updated on 01 March 2025.

We collect and use your personal data when you:

  • Use our website (info@o-cei.eu);
  • Work with us or communicate with us in that context;
  • Communicate with us by e-mail, phone or any other digital communication channel;
  • Subscribe to our newsletter;
  • Register for one of our events.

This privacy policy may be amended as set forth in Article 8.

“We” in this privacy policy refers to Digital for Planet GmbH:

Digital for Planet
Ueberlandstrasse 111 8600
Dübendorf Switzerland

info@o-cei.eu
0041 31 994 25 25

www.digital4planet.org

We are responsible for the collection and use of your personal data in the manner explained in this privacy policy. If you have any questions about this, please contact us by e-mail (info@o-cei.eu). In certain circumstances, third parties may (also) be responsible for the processing of your personal data. For example, if you click on a link and leave our website. In that case, we recommend that you consult the privacy policies of these third parties.

WHEN YOU USE OUR WEBSITE

When you visit our website, we process personal data about you (e.g. in our server log files). The personal data we process is mainly technical information such as (1) the browser types and versions used, (2) the operating system used, (3) the website from which you reach our website (so-called referrers), (4) the sub-websites, (5) the date and time of access, (6) an IP address, and (7) the ISP. We use this technical information (1) to deliver the content of our website correctly, (2) to ensure the most fault-free operation of our website and (3) to detect and prevent malware, illegal content and conduct and other forms of potential abuse. We rely on our legitimate interest in keeping our online presence safe.

WHEN YOU SUBSCRIBE TO OUR NEWSLETTER

When you subscribe to our newsletter, we process (1) your e-mail address, (2) an IP address, (3) the date and time of your subscription (4). We use this information (1) to send a confirmation e-mail, (2) to send you our newsletter, and (3) to keep track of our newsletters (i.e. whether you opened the newsletter or clicked on a link in the newsletter) and to improve future newsletters. We rely on your consent for this. You can withdraw your consent (i.e. unsubscribe from our newsletter) at any time by clicking the “unsubscribe” link at the bottom of our newsletter. When you unsubscribe from our newsletter, we will delete your e-mail address from our mailing list. We use MailerLite to send our newsletters and manager our mailing list. MailerLite has technical and organizational measures in place to ensure that your personal data is adequately protected. We have concluded a Data Processing Agreement (DPA) with MailerLite. You can review the DPA here.

WHEN YOU REGISTER FOR AN EVENT

When you register for an event, we process (1) the identity and contact details provided by you to us, (2) your e-mail address, and (3) other information that is required to complete your registration for the event in question. We use this information (1) to process your registration and prepare, organize and secure our events, and (2) to evaluate the event and improve future events. We rely either on (1) our agreement with you by your acceptance of the applicable terms and conditions or (2) our legitimate interest to be able to organize interesting events or to promote the O-CEI project.

WHEN YOU WORK WITH US

When you work with us (e.g. if you were a speaker at one of our events or if we have had contact with you as a journalist to highlight the O-CEI project), we process (1) the identity and contact details provided by you to us, (2) your e-mail address, and (3) in some cases, the name of the organization you work for and your job title. We use this information to contact you for (future) collaborations, opportunities or events. We rely either on (1) our agreement with your or (2) our legitimate interest in building up our network of contacts.

WHEN YOU COMMUNICATE WITH US

When you communicate with us, we process (1) the identity and contact details provided by you to us, (2) the content of the communication, and (3) the technical details of the communication itself (e.g. date and time). We use this information to enable communication between you and us. We rely on our legitimate interest in being able to respond to requests, questions or comments or to contact you proactively for questions of any kind.

IN ALL OF THE ABOVE CASES

The above-mentioned personal data can also be used for the following purposes:

  • To comply with our legal obligations or to comply with any reasonable request from competent police authorities, judicial authorities, government institutions or bodies, including competent data protection authorities. We rely on our legal obligation for this.
  • To prevent, detect and combat fraud or other illegal or unauthorized activities. We rely on our legal obligation for this.
  • To defend us in legal proceedings. We rely on our legitimate interest in using your personal data in these proceedings.
  • To inform a third party in the context of a possible merger with, acquisition of/by or demerger by that third party, even if that third party is located outside the EU. We rely on our legitimate interest in entering into business transactions.

In principle, we do not share your personal data with anyone other than the persons who work for us, as well as with the O-CEI project partners and with the suppliers who help us process your personal data. Anyone who has access to your personal data will always be bound by strict legal or contractual obligations to keep your personal data safe and confidential. This means that only the following categories of recipients will receive your personal data:

  • You;
  • Your employer or business partners, but only when this is necessary for the purposes mentioned above (e.g. when your employer is our supplier or customer);
  • Our employees and suppliers; and
  • Government or judicial authorities to the extent that we are obliged to share your personal data with them (e.g. tax authorities, police or judicial authorities).

We do not transfer your personal data outside the European Economic Area (EEA) (the European Economic Area consists of the EU, Liechtenstein, Norway and Iceland). We will only transfer your personal data outside the EEA if you or your employer, as a customer or supplier, have offices outside the EEA with which we need to communicate. If a transfer were to take place, we will take sufficient safeguards to protect your personal data during the transfer (e.g. by entering into an agreement based on standard data protection clauses approved by the European Commission). O-CEI is a project funded by the European Commission, meaning that it is a possible that another (consortium of) partner(s) will take over it in the future as a result of a new funding round. In that case, your personal data may be transferred to the new (consortium of) partner(s) in order to ensure the continuity of the O-CEI project and after you have been informed thereof.

Your personal data will only be processed for as long as necessary to achieve the purposes described above or, when we have asked you for your consent, until you withdraw your consent. As a general rule, we will de-identify your personal data when it is no longer needed for the purposes described above or when the maximum legal retention period has expired. However, we cannot delete your personal data if there is a legal or regulatory obligation or a court or administrative order preventing us from doing so. We retain all personal data collected through our website for as long as necessary to protect the legitimate interests stated above. We retain technical information such as our server log files until 6 months after your visit to our website, after which it will be deleted or de-identified. We retain all personal data related to an event until 2 years after the event. All personal data we collect through our interactions with you through telephone, email or other digital communication channels will be retained for as long as necessary to communicate with you, but also to maintain a historical record of our communications. This allows us to return to previous communications when you come back to us with new questions, requests, comments or other input.

The security and confidentiality of the personal data we process is very important to us. That is why we have taken measures to ensure that all personal data processed is kept secure. These measures include technical and organizational measures to protect our infrastructure, systems, applications and processes. We’ve also taken other measures, such as taking internal policy measures, limiting the processing to the personal data necessary for the fulfilment of the purposes and minimizing the processing of personal data.

You have certain rights related to the processing of your personal data: the right of access, rectification, erasure, and data portability as well as the right to object to or limit the processing of your personal data and to withdraw your consent. To exercise one of your rights, you can submit a written request to info@o-cei.eu stating the right to which your request relates. You can also submit your request via our GDPR form here. If you are still dissatisfied, you have the right to contact the competent data protection authority.

We reserve the right to modify this privacy policy on our own initiative. If material changes to this privacy policy affect the personal data collected, we will notify you in a manner customary for us to communicate with you (e.g., by email or by posting on our platform). Our privacy policy will also state the date it was last amended.

Because we take your privacy very seriously at O-CEI, we summarise below the most essential information about how we process your personal data.

  • Need more information? Please consult our full privacy policy below.
  • Looking for information about how we use cookies? Please consult our cookie policy here.
  • Do you have any questions? Please do not hesitate to contact us at info@o-cei.eu.

Pilot 8

Heightened social engagement and acceptability of energy flexibility in urban areas

Summary

Domain
Urban

Partners
Polygones, CLEMAP, HES-SO, Val D’Anniviers

Goal
The aim is to showcase how innovative Smart IoT solutions, already deployed within networks of prosumers, can be integrated into the O-CEI platform to enhance user acceptance and engagement.

Pilot Scenarios

The aim is to develop new Smart Energy Services (SES) based on an enhanced solution.

1

Democratization of energy demand forecasting for e-vehicle charging SES

This scenario focuses on residential buildings from Meyrin, which have local grids and charging stations for electric vehicles (EVs). It enables EV owners and software vendors to optimize vehicle charging through grid insights, integrating unidirectional power flow (V1G) as well as more extended Vehicle-to-X (V2X) for energy network enhancement, with O-CEI monitoring, Smart Contracts, and new business models.

2

Advanced graph data processing and LLM for energy prediction

O-CEI Data Fabric will be employed as an information graph containing energy data and results from previous scenario, and will integrate energy data, user inputs, and AI models to forecast energy consumption and production, using edge computing, LLM models, and serverless functions for efficient data processing and collaboration.

3

Self-adaptive energy and computation continuum in distributed tourism area

Edge equipment in Val D’Anniviers will use O-CEI orchestration, cybersecurity, and Machine Learning Operations for context-aware energy forecasting, improving efficiency in villages and ski stations through decentralized analytics and continuous updates.

In all scenarios, social acceptance by design will be driven by a combination of qualitative surveys, conjoint analysis, and discrete choice experiments (DCE) optimized on edge devices.

Pilot 7

Trustworthy and secure EV charging upon reliable 5G networks

Summary

Domain
Telecom

Partners
GAP, Nova, CERTH, Ares2T

Goal
The goal of this pilot is to leverage a private 5G network and cybersecurity measures to optimize the EV charging ecosystem, improving resource balancing, reducing costs, and enabling data-driven services

Pilot Scenarios

Pilot 7 presents two complementary scenarios focused on 5G-driven EV charging.

1

Edge optimization of power flow to EV needs

This scenario transforms chargers into “intelligent” bidirectional elements, optimizing grid power flow through O-CEI microservices, data management, and 5G’s low-latency, ensuring efficient load balancing and reduced environmental impact.

2

Increasing trustworthiness and security in EV charging data exchange

The O-CEI blueprint will incorporate security measures, data sovereignty, and auditing to ensure trustworthy data flow from sensors and EVs, supporting energy balance decisions with continuous monitoring and response to cyber threats.

Pilot 6

Smart re-charging and efficiency of robot tractors in large fruit production fields

Summary

Domain
Agrifood

Partners
Garaia, Innovalia, Zettrack, Agrimac

Goal
This pilot uses O-CEI’s monitoring, data integration, and decentralized computing to optimize energy management of electric tractors in kiwi farming, reducing emissions, energy use, and addressing travel and battery cost challenges.

Pilot Scenarios

P6 introduces three scenarios aimed at enhancing the energy efficiency of agricultural operations of electric tractors.

1

Real-time energy consumption aid for agricultural decision

The O-CEI platform will provide farmers with energy optimization suggestions, managing fleet, climate, and location data. It will propose action plans for efficient area coverage and extended charging downtime, using real-time services.

2

Remote route optimization and task planning of robot tractors

The O-CEI AI-block will optimize agricultural tasks in kiwi plantations, using state-of-the-art models for efficient operations and route planning, with real-time data storage and semi-autonomic management.

3

Autonomous tractor re-charging strategy

The tractors in this pilot will optimize battery charging through edge analytics and AI predictions, either autonomously or via a farmer-controlled app, minimizing battery use, extending lifespan, and reducing costs for improved sustainability.

Pilot 5

Energetically and environmentally sustainable Halloumi cheese production

Summary

Domain
Agrifood

Partners
Green Supply Chain, Embio Diagnostics, Charalambides Christis

Goal
The pilot uses O-CEI technologies for IoT-based monitoring and energy optimization, aiming to reduce the energy footprint per kilogram of dairy product in Cyprus, promoting sustainable farming despite challenging climates.

Pilot Scenarios

Livestock farming and the dairy industry are vital to Cyprus’s economy but face significant challenges from rising energy costs and the unstable agro-environmental conditions affected by climate change.

1

IoT-Assisted Livestock Management based on Edge Intelligence and automation

The pilot optimizes energy use in stables while reducing animal heat stress, using IoT sensors and cameras for behavior classification, edge computing for HVAC control, and forecasting for efficient milk production.

2

Controlled sharing of data from various stables to the dairy production factory

O-CEI mechanisms and marketplace will securely share trusted stable data on milk quality, feed mix, and energy footprint, using AI to forecast parameters, optimize energy consumption, and improve production practices with secure data management.

3

Intelligent selection of energy mix for dairy production

This scenario optimizes cheese production’s energy sources (grid, solar, biofuel) based on demand, availability, and price, using O-CEI models and Decision Support System (DSS) to reduce costs, environmental impact, and optimize operations.

4

Calculation of energy footprint of dairy (halloumi) products

This scenario aggregates energy consumption data across the production chain, using O-CEI orchestration and IoT-edge-cloud elements to optimize energy use, enhance trustworthiness, and audit halloumi production’s sustainability.

Pilot 4

Variable demand in challenging maritime terminal landscape

Summary

Domain
Logistics

Partners
CMA CGM, Prodevelop, Awake.ai, Enemalta, Schneider

Goal
This pilot aims to optimize energy usage in Malta’s port operations by aligning demand with capacity, using edge-optimized control systems for real-time adjustments based on vessel schedules, container handling equipment (CHE) usage, and the island grid data.

Pilot Scenarios

The Malta pilot focuses on three interconnected scenarios that leverage O-CEI technologies for monitoring, prioritization, and AI-driven predictions. These scenarios demonstrate how O-CEI technologies can handle simultaneously energy management across vessels, port terminals, and residential settings to achieve a sustainable and efficient energy ecosystem.

1

Vessel Energy Management

The O-CEI platform will integrate energy flows from berthed vessels, using decentralized monitoring, IoT, and cybersecurity utilities to minimize blackouts and optimize energy control through orchestration and real-time dashboards.

2

Terminal Energy Management

This scenario integrates terminal asset energy data with O-CEI orchestration, coordinating peak power demands from Container Handling Equipment (CHE), and reefers to avoid unnecessary peaks, with individual control systems.

3

Home Consumers

This scenario replaces home electricity meters with an O-CEI orchestrated control system, managing device priorities for critical services and appliances through secure data governance and pub/sub-models of the project.

Pilot 3

Energy consumption and emission reductions in postal service fleet operation via intelligent BEV charging strategies

Summary

Domain
Mobility

Partners
Austrian Postal Service, Energie Steiermark, AVL

Goal
This pilot optimizes electric fleet operations by integrating intelligent charging, V2G, and renewable energy utilization, reducing emissions, energy consumption, costs, and enhancing grid stability.

Pilot Scenarios

The Austrian Postal Service (POST) operates 5000 electric trucks that connect to EV charging stations owned by POST or Energie Steiermark. Both the vehicles and charging stations can share data through O-CEI software services, helping to speed up the adoption of smart, sustainable energy and mobility strategies.

P3 introduces three innovative use cases designed to optimize energy consumption, enhance grid stability, and reduce emissions through the integration of O-CEI technologies. These use cases highlight how advanced energy strategies and O-CEI technologies can transform electric fleet operations and grid management, driving sustainability and efficiency.

1

Infrastructure analysis to optimize Storage Battery Systems

For this use case, we analyse the power infrastructure (PV panels, batteries, charging infrastructure), the control and communication infrastructure, and the various communication protocols. This knowledge will then be used to optimize the location and operation of stationary storage battery systems.

2

Vehicle-to-Grid (V2G) – Vehicles as Mobile Energy Storage Units

Building on the first scenario, this use case optimizes EVs as mobile storage units, utilizing O-CEI for intelligent charging, discharging, and fleet route planning, enhancing fleet resilience and battery autonomy. Among others, we will assess the economic balance of the state of health degradation of the EV battery vs. revenue generation by providing energy to the grid at market price.

3

Smart and Innovative Energy Management Systems

O-CEI will evaluate mobile storage systems, such as trucks, supporting grid peak shaving and reactive power management. A virtual power plant integrates energy delivery, billing, and regulatory data for interventions.

Pilot 2

Electricity Grid - Software Defined Vehicle for VaS in Urban Areas

Summary

Domain
Electricity Grid

Partners
Continental, FENIX2.0, ERTICO

Goal
P2 scales Continental’s innovations by integrating a Software Defined Vehicle (SDV), transforming it into an active hub for computation, data exchange, and context-aware connectivity.

Pilot Scenarios

P2 introduces four SDV scenarios, each focusing on Vehicle-as-a-Service (VaS) to address key areas of urban mobility through O-CEI-enabled technologies. These scenarios demonstrate the transformative role of SDVs as active infrastructure elements, revolutionizing safety, sustainability, energy integration, and grid optimization in urban mobility.

1

VaS for Vehicle Safety

This scenario enhances vehicle safety with AI-driven system monitoring, OTA updates, advanced cybersecurity, and real-time technologies for the reliable, secure, and dynamic operation of embedded systems (e.g., engine management, braking, steering, infotainment)

2

VaS for Sustainability

This scenario leverages AI utilities from the O-CEI marketplace to optimize EV powertrain efficiency, minimize carbon footprints, and ensure driver engagement with sustainable, real-time feedback and seamless integration.

3

VaS for Fleet V2G Integration

It uses AI to optimize EV charging and energy return via Vehicle-to-Grid (V2G) capabilities, with edge and cloud software supporting fleet-wide data analysis and operations.

4

VaS for Grid Optimization

This scenario uses V2G, smart grids, and AI to optimize energy use, schedule charging during off-peak hours, utilize dynamic pricing, and grid balancing for sustainable vehicle interactions.

Pilot 1

Electric Grid performance optimization upon RES integration

Summary

Domain
Energy grid

Partners
UCC, EDF, MDU, Powerledger, Smart MPower, Eko Kvarner

Goal
The pilot aims to transition towards a greener, more efficient, and resilient energy system, paving the way for a sustainable and robust energy future.

Pilot Scenarios

1

Community-Driven Renewable Energy Integration

The O-CEI project empowers prosumers/flexumers to trade energy, optimize usage, and store excess via AI-driven tools, boosting grid stability and renewable energy use.

2

Smart Thermal Load Management

Sensor data and smart controls dynamically manage heating for energy efficiency using edge computing.

3

Wide Smart Grid Optimization

Seasonal demand patterns are optimized with renewable integration and decentralized learning models.

4

EV and Heat Pump Synchronization

Synchronizing renewable energy for household appliances and EVs ensures comfort and charging availability.

5

Residential Energy Management

IoT gateways and secure O-CEI utilities empower users to monitor energy use and promote grid flexibility.

6

Advanced Load Scheduling

Proactive scheduling for appliances like electric water heaters and space heaters, will enhance grid capacity and user comfort using edge computing and robust connectivity.

Each of these scenarios highlights the role of O-CEI in creating innovative, sustainable, and resilient energy solutions tailored to specific community needs and environments.