ADVANCED EXCEL FOR ENERGY EFFICIENCY PROFESSIONALS

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1 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. (312) info@eedminc.com

2 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 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

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4 Demand Response & Peak Load Management - Concepts and Calculations A comprehensive course that covers Demand Side Management Components, Interval Data Analysis and Load Curtailment Measures Visit to enroll! 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 End-to-end coverage of Interval Data Analysis 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.

5 SAMPLE CHARTS AND TABLES CREATED BY IDAT

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15 SUMMARY TABLE AND CHART CREATED BY LRCT