Iberdrola – Environmental Asset Management

Iberdrola – Environmental Asset Management Iberdrola  Sector: Energy Business Case In December 2022, Iberdrola launched its Biodiversity Plan, which aims to achieve a net positive impact on the ecosystems and species where it operates by 2030. The fundamental pillars are regeneration and creation of natural value, conservation of natural heritage, and creation of social value. […]

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Ariadna Grid – ARIADNA Connectivity Algorithm: Automatic Detection of LV Grid Topology

Ariadna Grid – ARIADNA Connectivity Algorithm: Automatic Detection of LV Grid Topology Ariadna Grid  Sector: Energy Business Case How can the low voltage (LV) grid topology be calculated using an AI? The connectivity of each meter with the corresponding transformer station, panel, line, and phase must be identified based on the recorded currents from the

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Ceit – Decision-making support tool for CHP plants

Ceit – Decision-making support tool for CHP plants Ceit  Sector: Energy Business Case Software tool that recommends, based on electricity price and thermal demand predictions, when to start the cogeneration engines in order to maximise the profit from the sale of electricity.  Objectives Create a visual analytics tool that provides cogeneration plant operating personnel with

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Skootik – Optimal construction planning of electrical projects

Skootik – Optimal construction planning of electrical projects Skootik  Sector: Energy Business Case We have several electrical projects (substations, lines, repowering, etc.) to be built. There is not enough capacity to start building them all at once, so one has to plan when to build each project. Each project involves a construction cost, and the

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Ikerlan – IA4BAT – Optimisation and Artificial Intelligence for Real-Time Second Life Battery Operation

Ikerlan – IA4BAT – Optimisation and Artificial Intelligence for Real-Time Second Life Battery Operation Ikerlan  Sector: Energy Business Case Energy storage plays a vital role in tackling the energy transition challenge. It enhances the management of renewable energy production and ensures the stability of the electricity system as intermittent renewable technologies become more prevalent in

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Multiverse Computing – Optimisation of energy markets

Multiverse Computing – Optimisation of energy markets Multiverse Computing  Sector: Energy Business Case Forecasting and optimisation of energy production based on meteorological and energy consumption/generation data. Objectives Research and development of an algorithm to solve hybrid quantum-classical stochastic problems, and its application to energy market problems with random variables. Use case Improve estimation error to

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Multiverse Computing – Digital Twin for the Application of Quantum Computation in Hydrogen Generation Plants (GDH2)

Multiverse Computing – Digital Twin for the Application of Quantum Computation in Hydrogen Generation Plants (GDH2) Multiverse Computing  Sector: Energy Business Case The hydrogen electrolyser currently faces several problems. One of the main ones is energy efficiency, as the conversion of electricity to hydrogen can have significant losses. Component durability and service life are also

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Sener – EMS, Energy Management System, Energy Infrastructure Network Operation Optimisation

Sener – EMS, Energy Management System, Energy Infrastructure Network Operation Optimisation Sener  Sector: Energy Business Case EMS is an autopilot that makes it possible to optimally operate infrastructure networks that consume and/or produce and/or store energy. It can manage networks of any type, and with different energy carriers (electricity, gas, H2, steam, etc.). In addition

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BCAM – Probabilistic Predictions for Energy Management Based on Continuous Learning

BCAM – Probabilistic Predictions for Energy Management Based on Continuous Learning BCAM  Sector: Energy Business Case Obtaining accurate energy demand predictions is difficult due to the continuous changes in consumption patterns (concept drift). Accurate forecasts can optimise the planning of energy production as well as its distribution, resulting in efficient generation and minimising the risk

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Multiverse Computing – Hospital Clinic: q-VIGILANCE

Multiverse Computing – Hospital Clinic: q-VIGILANCE Multiverse Computing  Sector: Energy Business Case The q-Vigilance project addresses the need to improve the prediction of symptom severity in patients using a quantum machine learning algorithm to overcome the limitations of the NEWS 2 model. This approach aims to provide faster and more accurate responses at Hospital Clinic

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