Data Assessment for Electrical Surge Protective Devices

  • Eddie Davis
  • Nick Kooiman
  • Kylash Viswanathan

Part of the SpringerBriefs in Fire book series (BRIEFSFIRE)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Eddie Davis, Nick Kooiman, Kylash Viswanathan
    Pages 1-4
  3. Eddie Davis, Nick Kooiman, Kylash Viswanathan
    Pages 5-8
  4. Eddie Davis, Nick Kooiman, Kylash Viswanathan
    Pages 9-20
  5. Eddie Davis, Nick Kooiman, Kylash Viswanathan
    Pages 21-26
  6. Eddie Davis, Nick Kooiman, Kylash Viswanathan
    Pages 27-32
  7. Back Matter
    Pages 33-36

About this book

Introduction

This brief develops a data collection plan to assess loss related to electrical surges in homes, and explores the potential impact devices that prevent these surges could have in mitigating these losses. Key topics such as surge sources, surge effects and residential surge protection are clearly defined. Recent fire safety codes proposed a requirement that every dwelling unit be fitted with a surge protection device, as every year there is property damage to electrical and electronic equipment resulting from electrical surges. These proposals have not been implemented due to a lack of reliable data, which this brief seeks to change. The authors evaluate surge phenomena and their sources, surge protection methods, surge protection strategies and industry standards in order to present a data plan that can accurately assess loss related to electrical surges in homes.

Keywords

Data collection Electrical surge Fire safety codes Industry standards Loss mitigation Surge protection

Authors and affiliations

  • Eddie Davis
    • 1
  • Nick Kooiman
    • 2
  • Kylash Viswanathan
    • 3
  1. 1.Hughes Associates, Inc.VancouverUSA
  2. 2.Hughes Associates, Inc.VancouverUSA
  3. 3.Hughes Associates, Inc.VancouverUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4939-2892-7
  • Copyright Information Fire Protection Research Foundation 2015
  • Publisher Name Springer, New York, NY
  • eBook Packages Computer Science
  • Print ISBN 978-1-4939-2891-0
  • Online ISBN 978-1-4939-2892-7
  • Series Print ISSN 2193-6595
  • Series Online ISSN 2193-6609
  • About this book
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