ENERGY NEW SCENARIOS AND NEW COMPETITIVE ADVANTAGES OBTAINED WITH ANALYTICS BIG DATA SERVICES AND TECHNOLOGY. SAP FORUM Milano, October 2015

Transcription

1 ENERGY NEW SCENARIOS AND NEW COMPETITIVE ADVANTAGES OBTAINED WITH ANALYTICS BIG DATA SERVICES AND TECHNOLOGY SAP FORUM Milano, October 2015

2 INDEX 01 The vision 02 Smart Grid Functions 04 New Grid Services : PRICE GDE 05 BIG DATA SERVICES EVOLUTION: Metering Analytic platform+ 2

3 THE VISION IN ENERGY Disruptive innovation is our vision, continuous improvement our main goal Electrical supply s sustainability, competitiveness and security challenges lead to a profound transformation of power management. This transformation requires the integrated management of all network resources: generation, demand, storage and network devices. 3

4 SMART GRID FUNCTIONS 01Demand Aware Services Development of a new market of energy services to engage the new profile of customers prosumer into a more dynamic and efficient energy system PRICE 02 Grid Automation Improve network monitoring and control increasing performance & reliability 03 Interoperability Provide capabilities to integrate network and customers functions and information increasing performance 04 Asset Management Provide capabilities to integrate network and customers functions an information increasing performance. 05 Security Prevent, and respond to cyber and physical threats 4

5 PRICE:Join Project for Smart Grids in the Henares Corridor Demonstration project for the implementation of Smart Grids technology in more than customers, including Distribution Automation, Smart Meter, Distributed Generation and Demand Management Grid Automation RED Energy Management GEN Distributed Generation GDI Demand Response GDE 5

6 GDE Demand Response 01 New Energy Services Development of a new market of energy services to engage the new profile of customers prosumer into a more dynamic and efficient energy system Energy efficiency Services Customer knowledge Virtual Power Plants Demand Response Industrial DR Residential DR Smart Metering INTELIGENT CHARGES Customer control Grid coordination Time 6

7 GDE Demand Response : The Need Demand reduction Efficiency improvement Distributed generation Demand Shifting Time of use TOU. Demand controls to minimize cost. Valley filling Pumping stations Storage EV charging Peak reduction Interrumpibility service Automatic charge control 7

8 GDE Demand Response : Benefits 8

9 GDE Demand Response : Architecture TSO DSO 9

10 Customer GDE engagement Demand Response functions : : Intelligent Electric vehicle Charges Solutions 10

11 GDE Demand Response : How it works Grid contingencies Demand and response forecast Response models adjustment Aggregated need of demand response TSO/DSO Mejora eficiencia sistema eléctrico: Aplanamiento, aprovechamiento renovable Non-Technical no gestionable Technical set-points set-points % Consumo potencia máxima contratada Consigna en %Potencia máxima contratada Response measurement Customers set-point calculation.. Technical/ non-technical 0,2 1 MW 0,3 0,5 Customers demand Demand Set-points 11

12 GDE Demand Response : Tools Demand & response : Monitoring & Forecast 12

13 BIG DATA SERVICES EVOLUTION: Metering Analytic platform Customer segmentation Customer Cross-selling Management Tariff simulator Data System discovery Demand forecast. Loss propensity models Tariff advisor. Historian Conectors ESB Energy efficiency evaluation/advisor External Sources Markets, Meteo RT Database Batch Analytics Online Metrics Commercial analysis RT anomaly measurements detection comparing against normality patterns : Fraud detection. Inefficient demand patterns. Real Time Analytics InGRID Meter Data Management InGRID Meter Data Capture AMI 13

14 SAP BIG DATA SOLUTION Deployment Choice: On Premise, Cloud or Hybrid 14

15 Thank you Juan Prieto Vivanco Energy Senior Manager Avda. de Bruselas Alcobendas, Madrid Spain T F