Vassilis Nikolopoulos, PhD c George Polymenopoulos, MSc, Optimal Energy and Demand-side Management with Location-based Services and Adaptive Data Mining Algorithms using an innovative web-based Energy Information System (EMIR) PROMITHEAS-2 International Black Sea Energy Policy Conference Vassilis Nikolopoulos, PhD c NTUA (Intelen Group) George Polymenopoulos, MSc, (HELESCO SA) Vassili Loumos Prof. NTUA INTELEN R&D Group

Energy Governance What really is Energy Governance ? Managing Energy and Services Creating Energy Policy and IT Strategy Analysing the notion of Energy Service Energy Services Management using IT Services Initiation Services Transition Services Improvement Services Operation Is this familiar with ITIL v3 ? CoBIT comes after adding Energy KPIs KEPA Prometheus Conference 2008

Energy Information Systems Combining Energy and IT Basic structural block -> Energy Services Ways of managing those Services Ways of analyzing Energy Information Use Algorithms to make Information Knowledge Using new Web Technologies Use of Internet and Wireless Coms Use well-defined ΙΤ Standards (CoBIT) Use Energy Standards (ie. ASHRAE) KEPA Prometheus Conference 2008

Energy Services over IT Managers, Operators, Engineers Data Analysis & Decision Support tools Reporting tools Process (sensors & instruments) Monitoring & Control Systems Data Historian IT Network KEPA Prometheus Conference 2008

Communication protocols Energy Services over IT (ESCOs) IT infrastructure & Data processing Data Analysis & Decision Making ESCO’s Metering Devices & Communication protocols Effective Reporting & Process Quality KEPA Prometheus Conference 2008

Energy Profile core Attributes Load Elasticity Demand to be completely inelastic (i.e. independent of market clearing price) Load Seasonality Seasonality is a major driver for electricity demand observing seasonality over the daily, weekly, and yearly cycles Load Mean Reversion Temporary spikes in electricity demand, often induced by extreme weather conditions. However, these spikes are not sustainable and demand reverts back to normal levels within a few days, hours Stochastic Growth Growth in electricity demand is driven in part by trends in the overall economy KEPA Prometheus Conference 2008

Basic Modeling KEPA Prometheus Conference 2008

Energy Efficiency Plan (EEAP - ΣΔΕΑ) Collection and analysis of energy data and determination of the national target for energy savings in GWh. Analysis and forecast of growth in end-demand for energy by sector and use Available energy technologies and forecast of technological development Determination of economic potential for energy savings and planning of measures to improve energy end-use efficiency Determination of intermediate national target When Top-down meets bottom-up approach KEPA Prometheus Conference 2008

End Demand Analysis from EEAP By Sector Public Sector Domestic Sector Tertiary Sector (hotels, hospitals, school, sport centers) Industry Sector Transport By Use Heating, refrigeration, air conditioning, ventilation Hot water use, Lighting Engines and operating systems Heated and refrigerated loads in the production process Other uses KEPA Prometheus Conference 2008

Objective Function for Services The load is tied with the Contract Matrix Wn The Matrix Wn represents the adaptive and Variable Pricing of n contracts for k customers Various Energy Services can be connected with the above Objective Function in order to maximize profit (Norm Optimization) KEPA Prometheus Conference 2008

Web Data Mining and Fusion General Topology Portal Engineering Energy Data Web Data Mining and Fusion KEPA Prometheus Conference 2008

Hypercubic Clustering KEPA Prometheus Conference 2008

AMR - System (Live) KEPA Prometheus Conference 2008

Live Installation KEPA Prometheus Conference 2008

Matlab Server Pages - MSP KEPA Prometheus Conference 2008

Energy Data Format KEPA Prometheus Conference 2008

Energy Data Format KEPA Prometheus Conference 2008

Energy Data Format KEPA Prometheus Conference 2008

Snapshots from the System KEPA Prometheus Conference 2008

Snapshots

Snapshots

Snapshots

Snapshots

Back end Intelligence

Future Actions EU Sustener Project with plugme@EMIR National Energy Profiling Pilot Development of Smart Portals for Electronic Energy Services Strong R&D in Energy Ranking / Mining Algorithms Business Development in EIS and Services FP7 and IEE proposals Creation of the European Network plugme.eu Target: Until end of 2009 500 - 1.000 Meters installed Incorporate Mobile Services and Information Create Energy Governance methodologies (IT Specs) Smart Gadgets for C02 control KEPA Prometheus Conference 2008

Questions ? http://www.intelen.gr http://www.helesco.gr