Eurostars: Nuevo software inteligente de gestión energética en edificios para alcanzar metas de cero carbono neto

Referencia:RDRTR20240527010
Title

Europe-Based SME Seeks R and D Partnership for Innovative Smart Building Energy Management Software to Achieve Net Zero Carbon Goals - Eurostars Call

Abstract

A Europe-based SME company specializes in providing the latest hardware and software solutions for smart building automation and control systems. The company is actively seeking collaborations under an R and D agreement, aiming to develop software that efficiently manages surplus energy production and minimizes consumption during low production periods through controllable equipment and storage devices in facilities. This project aims to reduce grid consumption and move closer to the Net Zero Carbon

Description

The main objective of the project is to develop software that efficiently stores and uses energy during periods of surplus energy production and minimizes consumption during periods of low energy demand. This aims to optimize the balance between energy production and consumption, reduce energy costs, and decrease the carbon footprint. Through smart building automation and control systems, energy storage and usage processes can be monitored and managed in real-time. This increases energy efficiency and contributes to the more sustainable use of energy resources.

The project enables detailed monitoring and analysis of energy consumption in buildings through systems equipped with advanced sensors and IoT technologies. This data is collected and processed via cloud-based platforms and optimized with AI-supported algorithms for energy management strategies. Efficient management of energy consumption not only provides cost savings but also makes significant contributions to environmental sustainability.

The project aims to develop intelligent control systems integrated with energy storage solutions that meet the highest standards of safety and functionality. The developed software will enhance energy management processes using innovative algorithms to maintain the balance between energy supply and demand. In this process, advanced technological solutions will be applied to increase energy efficiency and reduce carbon emissions.
Advantages and innovation
These advantages and innovations allow smart building automation and efficient energy management systems to open new horizons in energy management and sustainability, achieving notable successes.
Increased Energy Efficiency:

-Real-time monitoring and management optimize energy consumption, preventing unnecessary energy usage and enhancing overall energy efficiency.
Cost Savings:

-Optimizing the balance between energy production and consumption reduces energy costs, providing economic benefits for businesses.
Reduced Carbon Footprint:

-Effective use of renewable energy sources and energy efficiency strategies decrease carbon emissions, contributing to environmental sustainability.
Advanced Sensor and IoT Technologies:

-Advanced sensors and IoT technologies enable detailed monitoring and analysis of energy consumption, making energy management more effective and efficient.
AI-Powered Optimization:

-AI-supported algorithms optimize energy production and consumption, offering innovative solutions such as early fault detection and predictive maintenance.
Real-Time Data Analysis and Management:

-Data collected via cloud-based platforms is analyzed in real-time, continuously updating and improving energy management strategies.
Technical Specification or Expertise Sought
Battery Management System (BMS) Hardware:

Development and implementation of hardware elements for next-generation battery management systems.
Review and selection of battery technologies for smart sensing and monitoring, considering both first and second life applications.
Deployment of cutting-edge sensor technologies for extensive and precise data gathering from battery cells/modules/packs.
Battery Analytics:

Estimation of battery model parameters and design of electrical battery models for Battery Digital Twin.
Development of machine learning models for battery state estimations (SOH, SOC, RUL, EOL).
Development of machine learning models for early cell anomaly detection.
Renewable Energy System Integration:

Expertise in integrating renewable energy sources such as solar, wind, or hydro power into existing energy systems.
Design and implementation of energy management systems that optimize the use of renewable energy sources.
Development of advanced control algorithms for efficient energy conversion and storage in renewable energy systems.

Functional Safety and Cyber Security (26262 and ISO 21434):

Creation of a holistic cybersecurity architecture to protect the BMS.
Development of FSR and TSR requirements.
Establishment of decentralized identity and access management protocols.
Utilization of AI for data manipulation detection.
Implementation of advanced cybersecurity controls for second-life applications.
Ensuring functional and safety status of the battery.
Partners with expertise in these areas are invited to collaborate on this project to develop innovative solutions for sustainable battery management systems and renewable energy integration.

Framework program
Eureka
Call title and identifier
Eurostars
Submission and evaluation scheme
Anticipated project budget
Coordinator required
No
Deadline for EoI
01/09/2024
Deadline of the call
12/09/2024

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