CARTIF Projects
AINDER
Demand flexibility management to support the integration of renewable energy into the distribution grid and empower consumers
Description
The AINDER research project aims to develop technologies to manage renewable electricity generation, storage, and consumption in industrial processes, with the objective of eliminating the carbon footprint associated with the use of electrical energy.
Due to the presence of flexible electricity consumption and battery storage, these industrial processes can support the operation of the distribution grid through demand flexibility management. In this way, they would help facilitate the integration of renewable energy into the grid and, consequently, contribute to the decarbonisation of the entire power system. To achieve this goal, the AINDER project also seeks to develop technologies to improve grid management.
Objectives
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To develop and implement methods and algorithms to improve distribution grid management through advanced modelling, loss reduction, and the integration of demand flexibility into grid operation.
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To develop and implement methods and algorithms for planning the operation of an industrial process in such a way as to maximise the use of renewable energy by all possible means, without compromising production objectives. These means include, in particular, local renewable generation, battery energy storage, and the demand flexibility of the different subprocesses.
Actions
- Definition of the development framework: Establish regulations, markets and operating scenarios; select representative flexible industrial loads and electricity grids; collect historical and previous project data for modelling and validation.
- Modelling: Develop dynamic models of flexible loads (physical and stochastic) and electricity grids, integrating time simulation and demand and renewable generation forecasting using statistical and machine learning techniques.
- Model validation: Verify the accuracy and consistency of the models using real data and transformations from previous scenarios.
- Objective functions and constraints: Define optimisation problems for operational planning, including technical/economic objective functions and technical, legal, economic and environmental constraints.
- System implementation and validation: Deploy models following industry standards, incorporating communication protocols (MODBUS, LON), SCADA-type interface and databases for storage and analysis of results.
- Evaluate the system using simulations and emulators, using results from previous projects to validate demand management, grid operation and electric vehicles.
Expected Results
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To develop and implement methods and algorithms to improve distribution grid management through advanced modelling, loss reduction, and the integration of demand flexibility into grid operation.
-
To develop and implement methods and algorithms for planning the operation of an industrial process in such a way as to maximise the use of renewable energy by all possible means, without compromising production objectives. These means include, in particular, local renewable generation, battery energy storage, and the demand flexibility of the different subprocesses
R&D Line
R&D projects of regional interest aimed at excellence and competitive improvement in science, technology and innovation
CCTT5/23/VA/0004
Total Budget: 625,682€
CARTIF Funding: 556,856.98€
Duration: 01/07/2024 – 30/09/2026
AINDER
Responsible
Sergio Saludes Rodil
Energy Division
Networking
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