Open AccessModelling and evaluation of the Baseline Energy Consumption and the Key Performance Indicators in Technical University of Cluj‐Napoca buildings within a Demand Response programme: a case study
Author(s) -
Crețu Mihaela,
Czumbil Levente,
Bârgăuan Bogdan,
Ceclan Andrei,
Berciu Alexandru,
Polycarpou Alexis,
Rizzo Renato,
Micu Dan D.
Publication year - 2020
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
eISSN - 1752-1424
pISSN - 1752-1416
DOI - 10.1049/iet-rpg.2020.0096
Subject(s) - baseline (sea) , demand response , energy consumption , incentive , profiling (computer programming) , event (particle physics) , computer science , key (lock) , consumption (sociology) , energy (signal processing) , efficient energy use , environmental economics , reliability engineering , electricity , engineering , computer security , statistics , economics , electrical engineering , social science , sociology , oceanography , physics , mathematics , quantum mechanics , geology , microeconomics , operating system
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.