CARTIF Projects

iAMP-Hydro

Intelligent Asset Management Platform for Hydropower operation and maintenance

Description

iAMP-Hydro aims at improving the operation of existing hydropower plants (HPP) through the development of digital solutions which will be integrated into an intelligent Asset Management Platform (iAMP), encompassing secure open and transparent data-sharing protocols and three novel digital solutions. These include condition monitoring and predictive maintenance for turbines; ecological status monitoring for sustainable water resources management; and improved flow and power forecasting. The full package of solutions will be validated at five HPP in Europe, covering different power capacities, turbine types, water uses, climatic conditions and environmental sensitivities.

 

Objectives

  • Co-develop and validate novel condition monitoring and predictive maintenance digital solution at TRL5 by the end of the project, for hydromechanical and electrical equipment.
  • Co-develop and validate advanced sensors and models for the monitoring of biodiversity parameters for an ecologically optimised hydropower operation to improve biodiversity, environmental and socio-economic sustainability of existing plants.
  • Co-develop and validate enhanced weather and flow forecasting models using operational data from power plants and open source data in differing climates, with differing power capacities and flow regimes achieving >23% improvement in reservoir inflow, outflow and water balance prediction accuracy.
  • Co-develop secure data collection, communication, storage and sharing protocols and standards to enable trusted data-driven operation and maintenance, and interoperability between hydro operators, and with other renewable energy sources.
  • Co-develop and validate iAMP decision-making algorithms for data-driven O&M, including integration of operations with other renewable energy sources (RES) to increase flexibility and optimise hydro positioning in energy markets.

Actions

  • CARTIF is leading the WP6: flow and available power predicition model development.
    Within the project, it will be developed an hybrid forecasting approach based on ensemble machine learning and existing physical models. Different AI-based techniques such as Long Short-Term Memory (LSTM) networks or other recurrent neural networks will be explored to define a common forecasting framework to be applied to the variety of regions and the validation sites of the Project

Expected Results

  • AI-based model for flow and energy forecast, validated in Reservoirs Hydropower plants. 
  • AI-based model for flow and energy forecast, validates in Run of River Hydropower plants. 

R&D Line

  • Research on advanced and intelligent strategies for the management, operation and maintenance of buildings based on AI/ML/DL for the generation of decision support systems.

Partners

Horizon Europe

101122167

Total Budget: 4,151,083.74€

CARTIF Budget: 371,250€

CARTIF Funding:371,250€

Duration: 01/10/2023 – 30/09/2026

Responsible

PhD. Raquel López Fernández

Energy Division

raqlop@cartif.es

Networking

Smart Grids project:

D-HYDROFLEX

D-HYDROFLEX

D-HYFROFLEX seeks research into technological innovations in hydropower plants in search of improved efficiency and sustainability and hydropower competitiveness in modern electricity markets. The project will develop tools for the digital renovation of existing hydroelectric plants based on sensors, digital twins, artificial intelligence, hydrolyser modelling and image processing.

read more
SINNOGENES

SINNOGENES

SINNOGENES project aims to develop the Storage INNOvations (SINNO) energy toolkit, a complete framework of methodologies, tools and technologies that will enable the grid integration of innovative storage solutions beyond the state-of-the-art, while demonstrating sustainability, technical performance, lifetime, nondependency on location geogrpahical particularities and cost.

read more
CERFLEX

CERFLEX

CERFlex project consist on research in development and TIC solutions implementation moods that help to the deployment in a new concept of energy communities, especially focus on rural environment, facilitating a decentralized management of the energy interchange, the maximum utilisation of the renewable resources and a sustainable consume of the available resources.

read more
AGISTIN

AGISTIN

AGISTIN will enable industrial users to rapidly deploy renewable energy through advanced integration of innovative energy storage technologies. The rapid decarbonisation of industry through electrification, the growth of renewables and the need for grid stability represents a unique opportunity for new forms of storage and schemes for grid integration.

read more
TIGON

TIGON

The proliferation of renewable energies and the electric charges that operates with continuous current originates a growing interest in electric grids that operates with continuous current. This is due to the higher efficiency, security, flexibility and feasability that grids have than those ones that operates with alternate current.

read more
Share This