Analytics for Smart Energy Management
Tools and Applications for Sustainable Manufacturing
Authors: Oh, Seog-Chan, Hildreth, Alfred J.
Free Preview- Presents analytical tools and applications to address issues and problems arising during the process of implementing smart energy management for sustainable manufacturing
- Highlights key energy management processes, including forecasting, consumption, performance analysis, and emerging new technology identification
- Provides illustrative examples and details practical energy management systems
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- About this book
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This book introduces the issues and problems that arise when implementing smart energy management for sustainable manufacturing in the automotive manufacturing industry and the analytical tools and applications to deal with them. It uses a number of illustrative examples to explain energy management in automotive manufacturing, which involves most types of manufacturing technology and various levels of energy consumption.
It demonstrates how analytical tools can help improve energy management processes, including forecasting, consumption, and performance analysis, emerging new technology identification as well as investment decisions for establishing smart energy consumption practices.
It also details practical energy management systems, making it a valuable resource for professionals involved in real energy management processes, and allowing readers to implement the procedures and applications presented. - About the authors
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Seog-Chan Oh, PhD is a senior researcher at the General Motors Research and Development Center, Warren, MI since 2007 where he has been developing analytical models for improvement in sustainable manufacturing. He has strong functional expertise in Operations Research and Advanced Statistics. He received the PhD degree in Industrial Engineering from Pennsylvania State University in 2006. Before he began his PhD studies, he was an IT consultant for seven years at Daewoo Information Systems in Korea. He won a Boss Kettering Award, GM’s highest award for recognizing technical inventions and innovations. He also won a Korean Prime Minister Award, TeamGM Award, GM Patent Usage Award, IEEE Appreciation Award, Best Paper Award (KIIE), First Runner-Up Award (IEEE Web Service Challenge) and etc. He holds 4 Patents filed and 45 scholary articles including 3 Books. He has served on AIAG energy working group, IEEE Cloud and SCC program committees and IJWR editorial board.
Al Hildreth, PE, CEM is the Company Energy Manager for General Motors – focusing on energy and utility budgets, metrics, benchmarking, efficiency projects, water and carbon reporting. He has worked for GM for over 30 years, including 5 years in Europe and Asia, 10 years with Saturn Corporation in Spring Hill, TN, and previously worked for a manufacturer of air pollution control equipment in R&D. He is a registered Professional Engineer, Certified Energy Manager, and a Certified Hazardous Materials Manager. He received his Bachelor of Science degree in Engineering from Oakland University and a Master’s of Science degree in Engineering from Rensselaer Polytechnic Institute.
- Table of contents (9 chapters)
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Introduction
Pages 1-27
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Energy Performance Analysis: Stochastic Frontier Analysis (SFA) and Data Envelopment Analysis (DES) for Energy Performance Analysis
Pages 29-77
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Energy Decision-Making 1: Strategic Planning of Sustainable Manufacturing Projects Based on Stochastic Programming
Pages 79-108
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Energy Decision-Making 2: Demand Response Option Contract Decision Based on Stochastic Programming
Pages 109-135
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Pattern-Based Energy Consumption Analysis by Chaining Principle Component Analysis and Logistic Regression
Pages 137-177
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Table of contents (9 chapters)
- Download Preface 1 PDF (46.9 KB)
- Download Sample pages 2 PDF (3.6 MB)
- Download Table of contents PDF (175.5 KB)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Analytics for Smart Energy Management
- Book Subtitle
- Tools and Applications for Sustainable Manufacturing
- Authors
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- Seog-Chan Oh
- Alfred J. Hildreth
- Series Title
- Springer Series in Advanced Manufacturing
- Copyright
- 2016
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing Switzerland
- eBook ISBN
- 978-3-319-32729-7
- DOI
- 10.1007/978-3-319-32729-7
- Hardcover ISBN
- 978-3-319-32728-0
- Softcover ISBN
- 978-3-319-81356-1
- Series ISSN
- 1860-5168
- Edition Number
- 1
- Number of Pages
- XI, 295
- Number of Illustrations
- 21 b/w illustrations, 96 illustrations in colour
- Topics
