Forecast solutions for the energy sector

Similar documents
Benchmark of forecasting models

Speedwell High Resolution WRF Forecasts. Application

Wind power and management of the electric system. EWEA Wind Power Forecasting 2015 Leuven, BELGIUM - 02/10/2015

Current best practice of uncertainty forecast for wind energy

EUROPEAN EXPERIENCE: Large-scale cross-country forecasting with the help of Ensemble Forecasts

SOLAR POWER FORECASTING BASED ON NUMERICAL WEATHER PREDICTION, SATELLITE DATA, AND POWER MEASUREMENTS

About Nnergix +2, More than 2,5 GW forecasted. Forecasting in 5 countries. 4 predictive technologies. More than power facilities

Country scale solar irradiance forecasting for PV power trading

Be relevant and effective thinking beyond accuracy and timeliness

Power System Seminar Presentation Wind Forecasting and Dispatch 7 th July, Wind Power Forecasting tools and methodologies

wind power forecasts

Application of NWP products and meteorological information processing system in Hong Kong

Integrated Electricity Demand and Price Forecasting

The benefits and developments in ensemble wind forecasting

General Information: Real-time onsite solar forecasting

Use of visualisation at ECMWF

Systems Operations. PRAMOD JAIN, Ph.D. Consultant, USAID Power the Future. Astana, September, /6/2018

PowerPredict Wind Power Forecasting September 2011

Wind Power Forecasting

A tool for predicting the wind power production of off-shore wind plants

SCOTIA WEATHER SERVICES INC.

JOINT WMO TECHNICAL PROGRESS REPORT ON THE GLOBAL DATA PROCESSING AND FORECASTING SYSTEM AND NUMERICAL WEATHER PREDICTION RESEARCH ACTIVITIES FOR 2016

Mersea Oil Spill Drift Forecast Demonstrations in TOP2

Launch of Data Collection or Production Centre for World Weather Information Service

SuperPack North America

AN INTERNATIONAL SOLAR IRRADIANCE DATA INGEST SYSTEM FOR FORECASTING SOLAR POWER AND AGRICULTURAL CROP YIELDS

Application and verification of ECMWF products 2009

ECMWF Web re-engineering project

IMS4 ARWIS. Airport Runway Weather Information System. Real-time data, forecasts and early warnings

SHORT TERM LOAD FORECASTING

Synergie PC Updates and Plans. A. Lasserre-Bigorry, B. Benech M-F Voidrot, & R. Giraud

MetConsole AWOS. (Automated Weather Observation System) Make the most of your energy SM

Introduction to Weather Data Cleaning

Web-Based Decision Support Tool

Bringing Renewables to the Grid. John Dumas Director Wholesale Market Operations ERCOT

EBS IT Meeting July 2016

Speedwell Weather System. SWS Version 11 What s New?

Sun to Market Solutions

Wind Forecasts in Complex Terrain Experiences with SODAR and LIDAR

Weather Company Energy and Power Products

Needs for Flexibility Caused by the Variability and Uncertainty in Wind and Solar Generation in 2020, 2030 and 2050 Scenarios

peak half-hourly Tasmania

Meteorological Instruments for Solar Energy

peak half-hourly New South Wales

GL Garrad Hassan Short term power forecasts for large offshore wind turbine arrays

Rainfall Prediction System for the CuaDat Dam Basin

International Workshop on Wind Energy Development Cairo, Egypt. ERCOT Wind Experience

Explanatory Information Analysis for Day-Ahead Price Forecasting in the Iberian Electricity Market

Importance of Numerical Weather Prediction in Variable Renewable Energy Forecast

Modelling Wind Farm Data and the Short Term Prediction of Wind Speeds

The UK National Severe Weather Warning Service - Guidance Unit Perspective

Multi-Model Ensemble for day ahead PV power forecasting improvement

Wind resource assessment and wind power forecasting

The Center for Renewable Resource Integration at UC San Diego

ECMWF Computing & Forecasting System

Power Forecasting and Dynamic Line Rating

Weather Company Energy and Power Products

Henrik Aalborg Nielsen 1, Henrik Madsen 1, Torben Skov Nielsen 1, Jake Badger 2, Gregor Giebel 2, Lars Landberg 2 Kai Sattler 3, Henrik Feddersen 3

Deutscher Wetterdienst

Belgian Wind Forecasting Phase 1

IMS4 AWOS. Automated Weather Observation System. Integrates all airport weather data

Benchmark study of Icing Forecasts Do they add value? Ben Martinez, Pierre Julien Trombe Vattenfall R&D

Forecasting scenarios of wind power generation for the next 48 hours to assist decision-making in the Australian National Electricity Market

Irradiance Forecasts for Electricity Production. Satellite-based Nowcasting for Solar Power Plants and Distribution Networks

Recent Developments of the NinJo Workstation

Workstations at Met Éireann. Kieran Commins Head Applications Development

POWER SYSTEM OPERATING PROCEDURE LOAD FORECASTING

WMO Public Weather Services: Enhanced Communication Skills for Improved Service Delivery. by S.W. Muchemi (WMO)

Peak Load Forecasting

Variables For Each Time Horizon

WIND FORECASTING OPTIONS FOR LARGE SCALE WIND AUTOPRODUCERS WITH ELECTRICITY STORAGE RESEARCH ABBREVIATED OUTCOMES

Application and verification of the ECMWF products Report 2007

The Kentucky Mesonet: Entering a New Phase

Wind power forecasting accuracy and uncertainty in Finland. Hannele Holttinen Jari Miettinen Samuli Sillanpää

Himawari 8/9 data distribution/dissemination plan

THE METEOROLOGICAL DATA QUALITY MANAGEMENT OF THE ROMANIAN NATIONAL SURFACE OBSERVATION NETWORK

WEATHERNAV & PIRACY. As available in OceanView 4.3 & SDK 4.3 and later. Bjørn Åge Hjøllo

What is CERA? Coastal Emergency Risks Assessment

Probabilistic Forecasting of Wind and Solar Power Generation

Wind Power Forecast based on ARX Model with Multi Time Scale Parameter

Wind Power Production Estimation through Short-Term Forecasting

ECMWF products to represent, quantify and communicate forecast uncertainty

Application and verification of ECMWF products 2012

Predicting Solar Irradiance and Inverter power for PV sites

Dissemination of global products from Metop

CustomWeather Statistical Forecasting (MOS)

As included in Load Forecast Review Report (Page 1):

CARLOS F. M. COIMBRA (PI) HUGO T. C. PEDRO (CO-PI)

Application and verification of ECMWF products in Croatia - July 2007

TCC Recent Development and Activity

The Information System in ECDIS

Swedish Meteorological and Hydrological Institute

1 Descriptions of Function

Geospatial Fire Behavior Modeling App to Manage Wildfire Risk Online. Kenyatta BaRaKa Jackson US Forest Service - Consultant

1 Introduction. Station Type No. Synoptic/GTS 17 Principal 172 Ordinary 546 Precipitation

Anemos.Rulez: Extreme Event Prediction and Alarming to Support Stability of Energy Grids

Renewables and the Smart Grid. Trip Doggett President & CEO Electric Reliability Council of Texas

Application and verification of ECMWF products 2016

CLIMATE CHANGE ADAPTATION BY MEANS OF PUBLIC PRIVATE PARTNERSHIP TO ESTABLISH EARLY WARNING SYSTEM

Extending the use of Flood Modeller Pro towards operational forecasting with Delft-FEWS

Transcription:

Forecast solutions for the energy sector A/S Lyngsø Allé 3 DK-2970 Hørsholm Henrik Aalborg Nielsen, A/S 1

Consumption and production forecasts Heat load forecasts for district heating systems usually for a horizons up to one week, but up to one month exists. Power load forecasts for horizons up to one week, could be longer. Wind power production forecasts usually day ahead, but up to one week is feasible. Solar PV power production forecasts usually day ahead, but up to one week is feasible. Henrik Aalborg Nielsen, A/S 2

General forecast principle (Multiple) Numerical Weather Forecast Forecast Engine Calibrated against actual production / consumption available on-line or off-line in batches. If on-line data is available the autocorrelation is used in order to improve short-term performance. Henrik Aalborg Nielsen, A/S 3 Forecast Value(s) Actual Value System

Meteorological forecasts (input) Systems generally use meteorological forecasts of relevant meteorological quantities (temperature, wind speed, solar irradiance, etc.) Any meteorological forecast provider can be integrated, providing that NWP data can be delivered on an appropriate format via the Internet. is able to provide ECMWF and GFS forecasts as part of our service. Henrik Aalborg Nielsen, A/S 4

Price forecasts DK1/2 Spot price forecasts, based on wind power and load forecasts. Imbalance unit costs. UK N2Ex auction prices, based on system messages, including wind power and load forecasts. Henrik Aalborg Nielsen, A/S 5

MetFor Standard meteorological forecasts (temperature, wind, sun). Calibrated against local temperature measurements. Based on optimally combined ECMWF and GFS forecasts. Outperforms standard meteorological forecasts. Delivered as a service via FTP. Henrik Aalborg Nielsen, A/S 6

MetFor performance Based on: Hourly values Two years of data Three sites Henrik Aalborg Nielsen, A/S 7

Wind Power Prediction Tool Highly configurable wind power predictions for farms or regions. Handles actual availability and curtailment, including corresponding schedules. Available as service or on-site installation. Henrik Aalborg Nielsen, A/S 8

No NWP model combination No correction for autocorrelation The plot show performance of four power-curve models, WPPT being one of them. Among the 3 remaining one is a simple model whereas the two others are commercial models. The results are valid for a GW installation consisting of several frams, generally in difficult forecast locations. Evaluation is based on exactly the same data (time points). Henrik Aalborg Nielsen, A/S 9

WPPT modules Base Optimal forecast combination High resolution Quantile regression Ensemble forecasting SCADA upscaling Scenario generation Shut-down probability Icing detection and prediction DK2, 7-day ahead, ensemble based Henrik Aalborg Nielsen, A/S 10

Solar Power Forecasting Fixed or tracking systems. Advanced pre-processing of NWP data allow forecasts for short intervals. Combination of several NWP sources. Quantile regression and scenario generation. Available as service or onsite installation. Henrik Aalborg Nielsen, A/S 11 Source: BSW-Solar

Comparison of models using ECMWF No correction for autocorrelation Henrik Aalborg Nielsen, A/S 12

SolarFor using GFS-HD and ECMWF No correction for autocorrelation Henrik Aalborg Nielsen, A/S 13

PRESS-Prognosis Use configurable calendar. Combination of several NWP sources via MetFor. Quantile regression and scenario generation possible. Can be extended with supply temperature and production optimization. Service or on-site. Henrik Aalborg Nielsen, A/S 14

Power Load Forecasting Use configurable calendar. Combination of several NWP sources via MetFor. Quantile regression and scenario generation possible. Henrik Aalborg Nielsen, A/S 15

Electricity price forecasting Specialized forecasts. Developed on a per market / region basis. Currently we have solutions for DK (spot prices and imbalance unit costs) and UK (N2Ex auction prices). Henrik Aalborg Nielsen, A/S 16

User interfaces FTP / SFTP file up- and down-loads with retries and book-keeping. Client-specific data interchange (SOAP, XML, ) Highly configurable HTTPS based graphical user interface, supporting access level restrictions. Plot data also available as Excel file download. Henrik Aalborg Nielsen, A/S 17

Security of supply Several NWP providers. Servers in different data centres. Automatic monitoring of server loads, (input) data communication, and forecast delivery. Monitoring of forecast performance. Henrik Aalborg Nielsen, A/S 18

Data security Firewall only open for client IPs. Client data separated via standard LINUX userlevel security. Clients can only log in via FTP/SFTP or HTTPS, with data separation on login level. Encrypted hard disks / servers placed in safes. Henrik Aalborg Nielsen, A/S 19

An experimental interface Heat load forecast web-service available as https://<server>.enfor.dk/press-service/<user>. Upload measurements Download forecasts Meteorological forecasts handled automatically by the web-service Henrik Aalborg Nielsen, A/S 20