4.7 Article

Value and granularity of la and smart meter data in demand response systems

Journal

ENERGY ECONOMICS
Volume 54, Issue -, Pages 1-10

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.eneco.2015.11.016

Keywords

Demand response; Load shifting; Smart meters; Electricity markets; Information granularity; Business models

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The large-scale integration of intermittent resources of power generation leads to unprecedented fluctuations on the supply side. An electricity retailer can tackle these challenges by pursuing strategies of flexible load shifting - so-called demand response mechanisms. This work addresses the associated trade-off between ICT deployment and economic benefits. The ICT design of a demand response system serves as the basis of a cost-value model, which incorporates all relevant cost components and compares them to the expected savings of an electricity retailer. Our analysis is based on a typical German electricity retailer to determine the optimal read-out frequency of smart meters. For our set of parameters, a positive information value of smart meter read-outs is achieved within an interval of 21 to 57 min regarding variable costs. Electricity retailers can achieve a profitable setting by restricting smart meter roll-out to large customers. (C) 2015 Elsevier B.V. All rights reserved.

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