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eDREAM 1st Webinar

eDREAM > eDREAM 1st Webinar
demand response webinar

Despite the many advantages of DR applications as well as the promising results of the successful deployment of Demand Side Response by a number of research and early demonstration projects that have produced key elements such as optimisation algorithms, trial deployments in individual or block of buildings, data collection on appliance use and consumer engagement, etc., there are very few examples of the successful deployment of DSR technologies that consider Virtual Power Plants as well as decentralized approaches, towards achieving a reduction in peak grid demand and real savings for final consumers.

Among such context, eDREAM project is demonstrating a closed-loop demand response framework, designed to maintain the real-time balance of supply and demand in a decentralised environment.

The webinar will, therefore, introduce and explore new demand response technologies and services developed within eDREAM project, more specifically:

  • Techniques for Demand Response and Energy Flexibility Assessment
  • Next-generation of Demand Response Services for Aggregators and Customers
  • Blockchain-enabled decentralised network control optimisation and Demand Response verification
WEBINAR RECORDING

WEBINAR AGENDA

10:00

Introduction by the project coordinator

Vincenzo Croce, Engineering Ingegneria Informatica S.p.A

10:05

Presentation of the eDREAM questionnaire

Giuseppe Mastandrea, Energy@Work

Techniques for DR and Energy Flexibility Assessment

10:10 – 10:20

  • Electricity and Virtual Power Plants: Modelling & forecasting

Tudor Cioara, Technical University
of Cluj-Napoca

  • Baseline Flexibility Estimation

Edgar Segovia Leon, Teesside University

Multi-building DR characterisation through thermal, optical and LIDAR information fusion, and DR Aerial Survey Toolkit

10:20 – 10:35

  • Aerial Survey techniques using Visual, Thermal and Laser imaging in UK

Dr. Charalampos Psarros, Teesside University

  • A Deep Neural Network-based method for the detection and accurate thermography statistics estimation of aerially surveyed structures in Greece

Paschalis A. Gkaidatzis, Centre for Research & Technology Hellas

Next generation DR Services for Aggregators and Customers

10:35 – 11:05

  • Decision Making and DR Services Optimization Toolset

  • PV/RES Degradation & Trend Analysis

Dr. Fathi Abugchem, Teesside University

  • Big data Clustering techniques for Load Profiling and Customer Segmentation

Lourdes Gallego, ATOS

  • Interactive visualization platform based on graph analytics for Decision Support System and DR Strategies Optimization 

Paschalis A. Gkaidatzis, Centre for Research & Technology Hellas

Blockchain-enabled decentralized network control optimization and DR verification

11:05 – 11:15

  • Blockchain Driven DR and Flexibility Management

  • Secured Blockchain-driven Energy Market

Tudor Cioara, Technical University
of Cluj Napoca

11:15 – 11:40

Conclusions, Questions/Answers and final discussion

Madalina Petrisor, Servelect

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This project has received funding

from the European Union’s Horizon 2020
research & innovation programme
under grant agreement n°774478