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The Generation of Domestic Hot Water Load Profiles in Swiss Residential Buildings through Statistical Predictions
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Electricity.ORCID iD: 0000-0002-5361-7739
ETH Zurich, EEH-Power Systems Laboratory, Physikstrasse 3 ETLG29, 8092 Zurich, Switzerland..
HSLU Lucerne, Hochschule Luzern – Technik & Architektur, Centre for Integrated Building Technology, Technikumstrasse 21, 6048 Horw, Switzerland..
2017 (English)In: Energy and Buildings, ISSN 0378-7788, E-ISSN 1872-6178, Vol. 141, p. 341-348Article in journal (Refereed) Published
Abstract [en]

A long-term field study recording domestic hot water (DHW) consumption in households was used to tune a load profile generator. The methodology used in this load profile generator is also applicable to electric loads in distribution grids. Accurate DHW load profiles are essential to estimate the performance of renewable energy systems. One day and long-term randomly generated DHW profiles are useful for simulation, sizing and optimization of components in solar hot water installations such as storage tank, heat exchanger, collector area and additional heater. This work is also relevant to create standards for product testing and certification.

DHW usage and draw off patterns are geographically dependent, so recent and local measurements are required to tune models and create accurate load profiles.

Measurements show that DHW consumption is very volatile. The daily average value varies from 20 to 40 l per person (60 °C outlet temperature). The profiles underlie some trends (predominantly consumption in the morning or in the evening or spread over the day). The DHW consumption in Switzerland follows similar patterns observed in other countries, such as no significant decrease in consumption during weekends, and no strong correlation with weather conditions neither outdoor temperature nor rain.

Place, publisher, year, edition, pages
Elsevier , 2017. Vol. 141, p. 341-348
Keywords [en]
DHW, Heat demands, Consumption profiles, Demand modeling, Survey
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Engineering Science
Identifiers
URN: urn:nbn:se:uu:diva-320674DOI: 10.1016/j.enbuild.2017.02.045ISI: 000400212400029OAI: oai:DiVA.org:uu-320674DiVA, id: diva2:1090222
Funder
StandUpAvailable from: 2017-04-23 Created: 2017-04-23 Last updated: 2017-06-26Bibliographically approved

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The full text will be freely available from 2019-02-02 08:47
Available from 2019-02-02 08:47

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de Santiago, Juan

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