Synthesising Residential Electricity Load Profiles at the City Level Using a Weighted Proportion (Wepro) Model

Angreine Kewo, Pinrolinvic D. K. Manembu and Per Sieverts Nielsen
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Angreine Kewo: DTU Management, Technical University of Denmark, 2800 Kongens Lyngby, Denmark
Pinrolinvic D. K. Manembu: Electrical Engineering Department, Sam Ratulangi University, Manado 95115, Indonesia
Per Sieverts Nielsen: DTU Management, Technical University of Denmark, 2800 Kongens Lyngby, Denmark

Energies, 2020, vol. 13, issue 14, 1-28

Abstract: It is important to understand residential energy use as it is a large energy consumption sector and the potential for change is of great importance for global energy sustainability. A large energy-saving potential and emission reduction potential can be achieved, among others, by understanding energy consumption patterns in more detail. However, existing studies show that it requires many input parameters or disaggregated individual end-uses input data to generate the load profiles. Therefore, we have developed a simplified approach, called weighted proportion (Wepro) model, to synthesise the residential electricity load profile by proportionally matching the city’s main characteristics: Age group, labour force and gender structure with the representative households profiles provided in the load profile generator. The findings indicate that the synthetic load profiles can represent the local electricity consumption characteristics in the case city of Amsterdam based on time variation analyses. The approach is in particular advantageous to tackle the drawbacks of the existing studies and the standard load model used by the utilities. Furthermore, the model is found to be more efficient in the computational process of the residential sector’s load profiles, given the number of households in the city that is represented in the local profile.

Keywords: modelling; Wepro model; residential; household; electricity; load profiles; LPG; ALPG (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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