Time-based pricing and electricity demand response: Existing barriers and next steps

By C. Eid, Elta Koliou, M. Vallés, J. Reneses, Rudi A. Hakvoort. 2016

259 citations recorded by the source corpus.

Interest in Demand Response (DR) is increasing due to its potential to improve reliability and save costs for electricity systems. DR can provide a sustainable and cost-effective option for supply balancing, especially in a scenario with more volatile inflows from renewable energy sources. End-users can be incentivized to provide DR through time-based pricing in general and dynamic pricing in particular. This paper provides a theoretic framework and practice-oriented review of the status of DR in Europe, outlining the major challenges currently hampering further DR development. Important challenges involve the split-incentive issue for investments in enabling technologies, traditional market rules for flexibility that favor large generation units and the need for electricity market and network operation coordination.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/9b9200e2c828d2ccf535f47949636f7576c4c28a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Fons Wijnhoven
2. Martijn Koot

Citations in the corpus

• Usage impact on data center electricity needs: A system dynamic forecasting model (2021, methodology): “For simulating the future energy consumption of data centers, we use a time window until 2030, because the electricity suppliers ’ demand response time is between 5 and 8 years [33].”