Simple methodology to estimate the mean hourly and the daily profiles of domestic hot water demand from hourly total heating readings

Marszal-Pomianowska, Anna; Zhang, Chen; Pomianowski, Michal Zbigniew; Heiselberg, Per; Gram‐Hanssen, Kirsten; Hansen, Anders Rhiger

doi:10.1016/j.enbuild.2018.11.035

Cited by 36 publications

(31 citation statements)

References 15 publications

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“…The summer methods are based on the assumption that all DH consumption during the warmest period of the year can be attributed to DHW production [4,5], and that this is representative for the entire year. The period for which this assumption is reasonable depends of course on the climate that the building is situated in.…”

Section: Introductionmentioning

confidence: 99%

Experimental validation of a model-based method for separating the space heating and domestic hot water components from smart-meter consumption data

2020

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Smart meters are currently being rolled out in European district heating (DH) systems at a large scale to enable time-varying district heating tariffs and improve consumer awareness about their own consumption. Smart-meter data can also be used in more advanced applications, e.g. for establishing model-based control schemes for demand response purposes and data-driven building energy performance labeling schemes. Many of these applications require separate measurements of the consumption for space heating (SH) and preparation of domestic hot water (DHW); however, smart meters often only provide the total DH energy consumption (SH+DHW) in truncated units (e.g. whole kWh on an hourly basis). Typical approaches for separating these two components of DH consumption require measurements with a high temporal and numerical resolution and are therefore not applicable to smart-meter data. New methods suitable for disaggregating the combined DH demand are therefore needed. This paper presents a validation of a model-based method for disaggregating DH consumption using ground truth data from 44 residential buildings.

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Section: Introductionmentioning

confidence: 99%

Experimental validation of a model-based method for separating the space heating and domestic hot water components from smart-meter consumption data

2020

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“…Since DHW heat demand is predominantly driven by occupant behavior [39], first, the energy use intensity variation between the selected nursing homes and the control group buildings had to be assessed (Table 7). Whereas the area energy use intensity of nursing homes was on average 25.2 % higher compared to the control group, a much higher differentiation, i.e.…”

Section: Domestic Hot Watermentioning

confidence: 99%

“…[41]. Furthermore, the reference scenario also does not consider the recent findings of increasing DHW consumption per capita [39], since it foresees a declining specific water heating demand, as already indicated in the previous subchapter (Table 8).…”

Section: Total Heating Demandmentioning

confidence: 99%

The Effect of Population Ageing on Heating Energy Demand on National Level: A Case Study of Slovenia

Lampret

Krese

Prek

2019

SV-JME

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Residential energy demands are expected to change significantly in the future with increasing electrification, energy efficiency, and improved comfort as well as climate change. While many studies have been performed into how the aforementioned influential factors could affect the energy needs of the forthcoming generations, far less are present for how population aging affects the future heating demand. The latter is particularly relevant for Europe and Slovenia as declining fertility rates and lengthening life spans give rise to the increasing ratio of the elderly. In this paper, the future residential space and water heating energy demands of the aging society in Slovenia, using a sample of geographically dispersed nursing homes as a proxy, are estimated. The results are compared against the latest EU reference scenario until 2050, whereby the adjusted estimates differ by up to 9.6 %. Thus, the study highlights the need for energy policy to be further refined and redefined to link the energy performance requirements of buildings to specific consumption characteristics of the elderly.

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“…For example, the DHW demand in Denmark was 10 m 3 /person/a in 1989 and this value increased in 20 years to 15 m 3 /person/a (2009). [21] Another example is Germany, where the ratio of DHW demand from total energy usage in non-residential buildings increased from 6% to 7% in 9 years (2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014) [4,24] 239 l/household/day North America (1990) [4,24] 239 l/household/day Toronto, Canada (1985) [24] 256 l/household/day Florida, USA (1988) [24] In this paper Hungarian prefabricated large panel system buildings were examined. All of them are connected to the district heating network and located in Budapest.…”

Section: Introductionmentioning

confidence: 99%

Residential domestic hot water consumption analysis for multifamily buildings supplied by district heating

Vámos

Horváth

2022

THERM SCI

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The exact knowledge of DHW and heat consumption is necessary in the process of heat cost allocation and planning. In Hungary, heat cost allocation is based on summer months? heat demand. This method doesn?t lead to an accurate result due to the fact that the DHW demand varies throughout the year. There are several studies dealing with consumption data analisys, but only some of them have exact estimations on DHW usage patterns the Central-Eastern European countries. In this paper the DHW consumption was analysed in 115 ?commi block? buildings, which are common in Central-Eastern Europe and Russia and are usually connected to the district heating network. The examined buildings are located in Budapest, Hungary. The installation of the monitoring system has started in December 2012. The consumption data is collected since March 2014. The DHW usage was calculated in different cases for every month: per heated area, per heated volume and per flat. Average daily and annual data was also determined, the share of yearly DHW consumption over the months was calculated. The average daily and annual DHW consumption are 126 l/flat and 892 l/m2, respectively. The average net heat consumption is 28.2 kWhm-2a-1. Different DHW demand influencing factors were examined: the outdoor temperature and the residents? travelling habit is clearly influencing the DHW usage but no connection was found between the DHW consumption and economic indicators. The DHW consumption is approximately 30% higher in the winter than in the summer.

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Simple methodology to estimate the mean hourly and the daily profiles of domestic hot water demand from hourly total heating readings

Abstract: Simple methodology to estimate the mean hourly and the daily profiles of domestic hot water demand from hourly total heating readings. Energy and Buildings, 184(2), 53-64.

Cited by 36 publications

References 15 publications

Experimental validation of a model-based method for separating the space heating and domestic hot water components from smart-meter consumption data

Experimental validation of a model-based method for separating the space heating and domestic hot water components from smart-meter consumption data

The Effect of Population Ageing on Heating Energy Demand on National Level: A Case Study of Slovenia

Residential domestic hot water consumption analysis for multifamily buildings supplied by district heating

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