Next Article in Journal
Life Cycle Energy Cost Assessment for Pump Units with Various Types of Line-Start Operating Motors Including Cable Losses
Next Article in Special Issue
Passenger Transport Energy Use in Ten Swedish Cities: Understanding the Differences through a Comparative Review
Previous Article in Journal
Evaluating Patterns of Building Envelope Air Leakage with Infrared Thermography
Previous Article in Special Issue
Quantifying the Building Energy Dynamics of Manhattan, New York City, Using an Urban Building Energy Model and Localized Weather Data
 
 
Article

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

1
DTU Management, Technical University of Denmark, 2800 Kongens Lyngby, Denmark
2
Informatics Engineering Department, De La Salle Catholic University, Manado 95253, Indonesia
3
Electrical Engineering Department, Sam Ratulangi University, Manado 95115, Indonesia
*
Author to whom correspondence should be addressed.
Energies 2020, 13(14), 3543; https://doi.org/10.3390/en13143543
Received: 3 April 2020 / Revised: 6 July 2020 / Accepted: 6 July 2020 / Published: 9 July 2020
(This article belongs to the Special Issue Energy Efficient Cities of Today and Tomorrow)
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. View Full-Text
Keywords: modelling; Wepro model; residential; household; electricity; load profiles; LPG; ALPG modelling; Wepro model; residential; household; electricity; load profiles; LPG; ALPG
Show Figures

Graphical abstract

MDPI and ACS Style

Kewo, A.; Manembu, P.D.K.; Nielsen, P.S. Synthesising Residential Electricity Load Profiles at the City Level Using a Weighted Proportion (Wepro) Model. Energies 2020, 13, 3543. https://doi.org/10.3390/en13143543

AMA Style

Kewo A, Manembu PDK, Nielsen PS. Synthesising Residential Electricity Load Profiles at the City Level Using a Weighted Proportion (Wepro) Model. Energies. 2020; 13(14):3543. https://doi.org/10.3390/en13143543

Chicago/Turabian Style

Kewo, Angreine, Pinrolinvic D. K. Manembu, and Per Sieverts Nielsen. 2020. "Synthesising Residential Electricity Load Profiles at the City Level Using a Weighted Proportion (Wepro) Model" Energies 13, no. 14: 3543. https://doi.org/10.3390/en13143543

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop