ADVANCED EXCEL FOR ENERGY

EFFICIENCY PROFESSIONALS

TIPS

TRICKS

&

TECHNIQUES

A comprehensive web based course on Microsoft

Excel specifically tailored for Energy Engineers,

Energy Managers, Energy Analysts, Consultants,

Utility Program Managers and Industry Specialists.

www.eedminc.com

(312) 450-3337

info@eedminc.com

Course presented with examples drawn from Energy Conservation and Management Comprehensive reusable examples of all excel files are provided Harness the power of essential Excel functions without writing macros or VB routines providing total user control. Discover some of the less commonly known Excel features Power charge your Excel productivity—streamline and automate your calculations End-to-end coverage of all relevant, essential and need-to-know features

Visit http://www.eedminc.com/advanced-excel-training/ to enroll

Topics covered in the course include:

Creating heat maps to analyze “big data” using conditional formatting

Trapping and handling errors

Analyzing data such as large list of motors or steam traps to facilitate quick calculations

Calculating rounded sample size for Measurement and Verification (M&V)

Calculating Weighted Average Cost (WAC) for implementation measures

Cleaning up data from external sources such as equipment list or interval data from utility

Performing quality control on input data

Using multiple validation techniques to ensure input data quality

Using date and time functions to plot peak loads by month and day of week

Comparing project investments using IRR and NPV

Creating frequency distribution graphs for various demand intervals

Implementing cascading validation

Using lookup functions to automate lighting energy saving calculations

Building custom lookup functions to obtain data combining categories such as obtaining infiltration

through windows based on casement type, window fit, wind speed, etc.

Using MATCH and INDEX functions for multi-table lookup such as determining chiller part load values

at various loads and entering condenser water temperatures

Using text, date and OFFSET functions to convert raw CSV data to usable information and automating

interval data analysis

Using 3D functions to consolidate data

Converting unstructured data to structured data

Using Pivot tables to analyze and summarize energy conservation measures

Manipulating standard charts and developing combination charts to plot kWh vs. CDD or Btu vs. HDD

and automating chart generation

Using linear regression to generate chiller performance curves

Completely automating the interpolation process

Using data tables and scenario managers to analyze project cash flows

DDeemmaanndd RReessppoonnssee && PPeeaakk LLooaadd MMaannaaggeemmeenntt

-- CCoonncceeppttss aanndd CCaallccuullaattiioonnss

AA ccoommpprreehheennssiivvee ccoouurrssee tthhaatt ccoovveerrss DDeemmaanndd SSiiddee MMaannaaggeemmeenntt CCoommppoonneennttss,,

IInntteerrvvaall DDaattaa AAnnaallyyssiiss aanndd LLooaadd CCuurrttaaiillmmeenntt MMeeaassuurreess

LEARNING OUTCOMES

Get a solid understanding of various DSM components

Transform raw kW interval data in to useful information

Analyze data to identify cost saving opportunities

Perform a scoping audit and quantity the benefits from participating in DR programs

WHO SHOULD ATTEND

Utility Program Managers, Energy Managers, Energy Engineers, Facility Managers, Energy Analysts,

Consultants, and Industry Specialists.

COURSE DELIVERY

This course is delivered on-line (learn on demand) and will require about six hours to complete. You may take up to twelve weeks to complete the course from the time of registration.

TOOLS PROVIDED

(1) Interval Data Analysis Tool (IDAT): An Excel based tool that is used to prepare, perform quality

control and transform the raw data and generate a variety of tables, graphs, and charts including:

Heat Maps

Load Duration Curves

Daily, Weekly, Monthly and Annual Load Profiles

3D Profiles

Calendar Charts

The tool is entirely written using Excel functions providing the much needed flexibility – it supports

additional analysis and users can modify or enhance the worksheets to suit their requirement.

(2) Load Curtailment Calculation Tool (LRCT): An Excel based tool that will help calculate, document,

and summarize load curtailment measures identified during a DR scoping audit.

Visit http://www.eedminc.com/loadmgmtcourse to enroll!

End-to-end coverage of

Interval Data Analysis

SAMPLE CHARTS AND TABLES CREATED BY IDAT

SUMMARY TABLE AND CHART CREATED BY LRCT