Next Article in Journal
Estimation for Expected Energy Not Served of Power Systems Using the Screening Methodology of Cascading Outages in South Korea
Previous Article in Journal
A Liquid Desiccant Enhanced Two Stage Evaporative Cooling System—Development and Performance Evaluation of a Test Rig
Article Menu
Issue 1 (January) cover image

Export Article

Open AccessArticle
Energies 2018, 11(1), 78; doi:10.3390/en11010078

Modeling Aggregate Hourly Energy Consumption in a Regional Building Stock

Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, P.O. Box 5003, N-1432 Ås, Norway
*
Author to whom correspondence should be addressed.
Received: 21 November 2017 / Revised: 19 December 2017 / Accepted: 26 December 2017 / Published: 29 December 2017
View Full-Text   |   Download PDF [2510 KB, uploaded 29 December 2017]   |  

Abstract

Sound estimates of future heat and electricity demand with high temporal and spatial resolution are needed for energy system planning, grid design, and evaluating demand-side management options and polices on regional and national levels. In this study, smart meter data on electricity consumption in buildings are combined with cross-sectional building information to model hourly electricity consumption within the household and service sectors on a regional basis in Norway. The same modeling approach is applied to model aggregate hourly district heat consumption in three different consumer groups located in Oslo. A comparison of modeled and metered hourly energy consumption shows that hourly variations and aggregate consumption per county and year are reproduced well by the models. However, for some smaller regions, modeled annual electricity consumption is over- or underestimated by more than 20%. Our results indicate that the presented method is useful for modeling the current and future hourly energy consumption of a regional building stock, but that larger and more detailed training datasets are required to improve the models, and more detailed building stock statistics on regional level are needed to generate useful estimates on aggregate regional energy consumption. View Full-Text
Keywords: energy systems; smart meter data; hourly electricity consumption; panel data; district heat energy systems; smart meter data; hourly electricity consumption; panel data; district heat
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Kipping, A.; Trømborg, E. Modeling Aggregate Hourly Energy Consumption in a Regional Building Stock. Energies 2018, 11, 78.

Show more citation formats Show less citations formats

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

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top