Repository logo
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Suomi
  • Svenska
  • Türkçe
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Yкраї́нська
  • Log In
    or
    New user? Click here to register.Have you forgotten your password?
Repository logo
  • Communities & Collections
  • Research Outputs
  • Fundings & Projects
  • People
  • Statistics
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Suomi
  • Svenska
  • Türkçe
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Yкраї́нська
  • Log In
    or
    New user? Click here to register.Have you forgotten your password?
  1. Home
  2. Indian Institute of Technology Madras
  3. Publication5
  4. Incentive design for demand-response based on building constraints – a utility perspective
 
  • Details
Options

Incentive design for demand-response based on building constraints – a utility perspective

Date Issued
08-11-2017
Author(s)
Kandhway, Kundan
Vasan, Arunchandar
Nagarathinam, Srinarayana
Sarangan, Venkatesh
Sivasubramaniam, Anand
DOI
10.1145/3137133.3137142
Abstract
Electrical utilities offer incentives to their customers to reduce their demand during temporary supply-demand mismatches. While customers would prefer a higher incentive to participate, utilities would prefer to minimize the incentive while achieving a target reduction. Because the incentive affects the bottomline of the utility, identifying the optimal incentive reflecting this trade-off is important. Several works have focused on how to implement DR in a building, but there has been little work on identifying the optimal incentive from the utility’s perspective. We complement existing work with an approach on how a utility can identify the optimal incentive for a set of buildings that it serves, while meeting individual buildings’ constraints. To this end, we build Demand-Response Potential (DRP) models that give the economically rational demand reduction of a building as a function of the utility’s offered incentive. For handling scalability at the utility level, we approximate the DRP using regression based approach. We evaluate our approach on the PLUTO dataset of building types and sizes. We find that the DRP varies with building types (from 19% for restaurants to 54% for warehouses). It is typically low for buildings with high thermal inertia; and building types with low individual DRP can contribute significantly in aggregate due to their numbers. Offering non-uniform incentives to different buildings can improve the utility’s DR benefit by up to 19% compared to offering uniform incentives.
Volume
2017-January
Subjects
  • Demand response

  • Energy

  • HVAC

  • Incentive design

  • Optimization

Indian Institute of Technology Madras Knowledge Repository developed and maintained by the Library

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Cookie settings
  • Privacy policy
  • End User Agreement
  • Send Feedback