What does it take to produce a good quality and reliable wind resource assessment? What do financiers want? Phil Napier-Moore, Session Moderator Breakout.

Slides:

Advertisements

Similar presentations

Aidan Tuohy Sr. Project Engineer NWPCC Flexibility Metric Roundtable April 2013 Metrics and Methods to Assess Power System Flexibility.

Advertisements

Capital Investment Decisions. learning objectives what is an investment the five main investment appraisal criteria methods accounting rate of return.

PPAI Breakout Session Report July 21, PPAI Breakout Session Report Introductions A review of PPAI activities In 2011 Discussion on the Large Scale.

Managing Interest Rate Risk(II): Duration GAP and Economic Value of Equity.

McGraw-Hill/Irwin © 2006 The McGraw-Hill Companies, Inc., All Rights Reserved. 1 Chapter 3 part 2 Project Management.

CHAPTER 4 Income Statement and Related Information ……..…………………………………………………………... Usefulness of the Income Statement Income and expenses for a given period.

NovEnergia II Technical Bureau - Sep08 THE OPPORTUNITIES OF HUNGARIAN WIND ENERGY Álvaro Rodrigues September 2008.

Chapter 10 Key topics: –Budget objectives and cycle –Static versus flexible budgets –Budget variances –Developing and using flexible budgets –Other types.

ESTUDIOS MONETARIOS Y FINANCIEROS THE IMPACT OF FINANCIAL VARIABLES ON FIRMS’ REAL DECISIONS: EVIDENCE FROM SPANISH FIRM-LEVEL DATA Ignacio Hernando Carmen.

McGraw-Hill/Irwin Copyright © 2009 by The McGraw-Hill Companies, Inc. All rights reserved. Financial Statement Analysis K R Subramanyam John J Wild.

Timed. Transects Statistics indicate that overall species Richness varies only as a function of method and that there is no difference between sites.

1 Math 479 / 568 Casualty Actuarial Mathematics Fall 2014 University of Illinois at Urbana-Champaign Professor Rick Gorvett Session 9: Risk Classification.

Chapter 8 Stock Valuation. Copyright © 2005 Pearson Addison-Wesley. All rights reserved. 8-2 Stock Valuation Learning Goals 1.Explain the role that a.

Lecture(12) Risk & Uncertainty Definition “Risk” and “uncertainty” are two terms basic to any decision making framework. Risk can be defined.

Uncertainty in Wind Energy

Opportunity Engineering Harry Larsen The Boeing Company SCEA 2000 Conference.

Mathematics in the new curriculum Framework for Progression in Calculation MERLEY FIRST SCHOOL Pamphill First School Allenbourn Middle School.

Functionality of Banks and Hedge Funds and Contagion Between Financial Institutions Mila Getmansky Sloan School of Management System Dynamics Colloquium.

1) Project A: Payback Period = $250,000/$75,000 = 3.3 years.

Role and Components of Project Evaluation

Environmental Impact Assessment (EIA): Overview

Capital expenditure decisions: an introduction

Return, Income, Value and Capitalization Learning objectives: –Understand the meaning of investment decision making. –Understand the role of the appraisal.

1.  Recap on last week  Cash and Profit  Benchmarking 2.

Western Wind Integration Study Debbie Lew NREL. Goal To support multi-state interests in understanding the operating and cost impacts due to the variability.

1 Ch 3: Forecasting: Techniques and Routes. 2 Study objectives After studying this chapter the reader should be able to: Evaluate the suitability of several.

Inorganic Nutrient Research Palmer LTER (1992-present): PAL-LTER Interannual variability in distributions of NO2, NO3, PO4, Si(OH)4, DIC, TALK, pCO2, DOC.

28 th CEOS Plenary Session Alain Ratier EUMETSAT CEOS Plenary, Agenda Item 28 Tromsø, Norway October 2014.

Copyright © 2009 Pearson Prentice Hall. All rights reserved. Chapter 3 Cash Flow and Financial Planning.

Click to edit Master text styles Second level Third level Fourth level Fifth level 1 The wind, the loads and the money. High quality wind & site work is.

1 Ch 3: Forecasting: Techniques and Routes. 2 Study objectives After studying this chapter the reader should be able to: Evaluate the suitability of several.

Chapter 16 Financial Statement Analysis. Topics to be Discussed Introduction Why Analyze Financial Statements Horizontal Analysis Vertical Analysis Comparison.

10/4/20021 Systems Analysis Advisory Committee (SAAC) Friday, October 4, 2002 Michael Schilmoeller John Fazio.

Template WRF Evaluation Against Observations in Louisiana Chris Emery ENVIRON International Corporation, Novato CA November 14, 2012.

CONCEPTS OF BUSINESS AND FINANCIAL RISK. BUSINESS RISK THE RISK INHERENT IN THE FIRM, INDEPENDENT OF THE WAY THE FIRM IS FINANCED. GENERALLY REFLECTED.

Simulations. Learning Objectives Explain the reasons for simulation, such as to change time-scales and/or save costs and/or avoid danger Describe the.

Conceptual Framework Elements Recognition & Measurement Concepts Recognition & Measurement Concepts Assumptions, Principles & Concepts Assumptions, Principles.

SDMX DATA STRUCTURE DEFINITION SDMX Training BANK INDONESIA SEPTEMBER 2015 YOGYAKARTA, INDONESIA.

1. 2 Contents Aim: why this work? Probabilistic design Some results Conclusions.

Background Sound Variability Distance from source Noise level, dB critical region Source Sound Variability Potentially critical assessment.

Living With a Star (LWS) and the Vision for Exploration LWS Mission Goal: Develop the scientific understanding necessary to effectively address those aspects.

© G. A. Motter, 2006, 2008 & 2009 Illustrated by Examples Quality Function Deployment and Selection Matrices Customer Driven Product Development.

Life-cycle cost analysis (LCCA)

Personal Budget 101 Economics. Budgeting and Goals What are your financial goals? –Would you like to buy a laptop or car? –Do you plan to play for a college.

Systematic Terrestrial Observations: a Case for Carbon René Gommes with C. He, J. Hielkema, P. Reichert and J. Tschirley FAO/SDRN.

December 2002 Section 8 Adaptation. Addressing Climate Change: Mitigation and Adaptation Climate Change including variability Impacts autonomous adaptation.

1 SMALL BUSINESS MANAGEMENT Chapter Three Evaluation of a Business Opportunity.

First Define the Information Needed, Then Select a Course of Action John S. Irwin, NOAA EPA, OAQPS Air Quality Modeling Group RTP, NC

Relative Velocity. Example 1 A man is trying to cross a river that flows due W with a strong current. If the man starts on the N bank, how should he head.

The Normal Distribution

1-1 Chapter IV – Controlling Objectives: I.Definition of Controlling II.The importance of Controlling III.Levels of Control IV.Major Steps in Controlling.

NCCCP Biospecimens (BIOSPEC) Breakout Session Carolyn Compton, MD, PhD James Robb, MD Office of Biorepositories and Biospecimen Research (OBBR), NCI June.

Basel Committee Norms. Basel Framework Basel Committee set up in 1974 Objectives –Supervision must be adequate –No foreign bank should escape supervision.

University of Sunderland COMM80 Risk Assessment of Systems ChangeUnit 10 Decision Points COMM80: Risk Assessment of Systems Change Unit 10.

Resource Analysis. Objectives of Resource Assessment Discussion The subject of the second part of the analysis is to dig more deeply into some of the.

 Recap on last week  Cash and Profit  Benchmarking  Assessment.

CT2 : Assessing sources of uncertainty in ocean analysis and forecasts We consider the structural sources of uncertainty generic to all practical forecasting.

P5 : Advanced Performance Management. B1: External Influences on Organisational Performance B1. Changing business environment B2. Impact of external factors.

BREAKOUT SESSION. Topics  Variability & quality attributes  Variability = quality attribute?  How does variability relate to availability, performance,

ثبت و شناسايي درآمدها در دانشگاه علوم پزشکي تهيه و تنظيم : حسن اسحقي

What is in our head…. Spatial Modeling Performance in Complex Terrain Scott Eichelberger, Vaisala.

Date of download: 1/3/2018 Copyright © ASME. All rights reserved.

Data management: 10 minute data, 8760 hours Data Q/C, error checking

TOPIC 3 EFFECTIVE FINANCIAL MANAGEMENT

Stefano Grassi WindEurope Summit

Lidar Measurement Accuracy under Complex Wind Flow in Use for Wind Farm Projects Matthieu Boquet, Mehdi Machta, Jean-Marc Thevenoud

Discussion topics (examples):

Unit 3 Review (Calculator)

Calculate 9 x 81 = x 3 3 x 3 x 3 x 3 3 x 3 x 3 x 3 x 3 x 3 x =

Flagship Project 2 Comparison between deterministic and probabilistic liquefaction triggering assessment approaches over the Christchurch area V Lacrosse,

Presentation transcript:

What does it take to produce a good quality and reliable wind resource assessment? What do financiers want? Phil Napier-Moore, Session Moderator Breakout Session 8: “Banking on Wind”

Review of Plenary Presentation Material Data acquisition – “Measure-Correlate- Predict” (MCP) – Site data requirements – Long term adjustment Wind modelling across the site Uncertainty analysis

Review of Plenary Presentation Material Data acquisition Wind modelling across the site => yield – Wind flow modelling – Calculating gross yield – Calculating net yield Uncertainty analysis

Review of Plenary Presentation Material Data acquisition Wind modelling across the site Uncertainty analysis – Data uncertainties (key variable) – Modelling uncertainties – Technology uncertainties – Interannual variation (over defined period)

Yield exceedance probability example P90 Yield Values

Questions to Discuss

1.What can we do if ‘long-term’ reference data is of limited duration, relevance or quality? 2.What role can ‘meso-scale’ satellite modelling approaches play to complement terrestrial wind speed measurements? 3.How do developers access the necessary expertise early in project development?