Journal
IET RENEWABLE POWER GENERATION
Volume 14, Issue 15, Pages 2864-2875Publisher
INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-rpg.2020.0096
Keywords
energy consumption; pricing; demand side management; building management systems; educational institutions; demand response programme; price signal; financial incentive; specific time period; reference energy consumption level; baseline determination; economy savings; baseline electric load profile; predefined key performance indicators; baseline detection methods; DR event effectiveness; DR programmes; baseline energy consumption; Technical University of Cluj-Napoca buildings; artificial intelligence enhanced energy profiling method; aggregated load curve
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Funding
- European Union's Horizon 2020 research and innovation programme [815301]
- DR-BOB Demand Response in Blocks of Buildings project [69611/2016]
- H2020 Societal Challenges Programme [815301] Funding Source: H2020 Societal Challenges Programme
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Demand response (DR) programmes offer to customers the opportunity to reduce the power peak and the energy consumption in response to a price signal or financial incentive. Typically, the request to reduce peak demands is made for a specific time period on a specific day, which is referred to as a DR event. To predict a reference energy consumption level in case of different buildings or blocks of buildings within the Technical University of Cluj-Napoca, this study proposes an artificial intelligence enhanced energy profiling method and a more intuitive yet simple method for baseline determination, easy to understand, which allows all the interested parties to estimate the energy and economy savings after a DR event. Once the baseline electric load profile is established, the aim of this study is to calculate some predefined key performance indicators. The two baseline detection methods are compared with each other as a measure of DR event effectiveness. The study has been conducted to clearly demonstrate the economic and environmental benefits of controlling the aggregated load curve in blocks of buildings within several effectively applied DR programmes.
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