Evaluation of the Influence of Climate Warming And Building Ageing on Building Energy Consumption

Waddicor, David A.; Fuentes, E.; Siso, Laura; Salom, Jaume; Favre, Bérenger; Jiménez, Christel; Azar, Marc; Khodabuccus, Rehan; Stract, Ab

doi:10.26868/25222708.2015.2138

Cited by 2 publications

(2 citation statements)

References 7 publications

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“…Waddicor et al [22] simulated the impacts of climate change using the Intergovernmental Panel on Climate Change (IPCC) prediction scenarios A2 and B1 and ageing estimates of building components using ranges of decreasing rates for system efficiency and increasing rates for insulation conductivity. Their simulation results showed that a 10% decadal boiler degradation and a 24% decadal chiller degradation increased heating energy consumption by 17% and cooling energy consumption by 30% respectively every ten years.…”

Section: Performance Degradation Of Building Componentsmentioning

confidence: 99%

“…Degradation further increased cooling energy consumption, in addition to the effects from climate change, which counteracted the lowered heating consumption. Other simulation studies [22], [23], [24], [25] reported that the effects of increased insulation conductivity and decreased HVAC system efficiencies resulted in a significant increase of energy consumption ranging between 18.4% to 47.1% depending on maintenance schemes and the level of degradation.…”

Section: Performance Degradation Of Building Componentsmentioning

confidence: 99%

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A Novel Method to Assess Long-Term Building Energy Consumption Variation through Weather Normalization and Multiple Year Building Energy Simulation

Tam¹

2023

Preprint

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<p>Building energy performance is subject to influences such as weather variations, changes in the building conditions, as well as changes in occupant behaviour and operational schemes. This research builds on and improves the efficacy of the Degree-days Ratio-based method, a commonly used weather normalization method, by way of introducing a weighting exponent and excluding the consumption values during the “Shoulder Season” months in the dataset for deriving an indicator of the changes in building condition or system operations over years. These two proposed schemes were tested using both simulated and measured space heating and cooling energy consumption data. Prototype commercial building models were simulated with published Typical Year (CWEC2016) and Historical Year Weather Data (CWEEDS 1998-2014). Based on standard deviation and CVRMSE figures between the normalized values and the reference value simulated using Typical Year weather data, the proposed method resulted in less year-to-year energy consumption variations when compared to two conventional methods. The measured energy consumption data of an in-service Case Study Building were weather-normalized to derive an energy consumption variation trend. Normalizing with the proposed method yielded a more definitive energy consumption variation trend which is indicative of the long-term energy performance due to changes in building condition and operational schemes. </p>

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Section: Performance Degradation Of Building Componentsmentioning

confidence: 99%

Section: Performance Degradation Of Building Componentsmentioning

confidence: 99%

A Novel Method to Assess Long-Term Building Energy Consumption Variation through Weather Normalization and Multiple Year Building Energy Simulation

Tam¹

2023

Preprint

View full text Add to dashboard Cite

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Labeling of Installed Heating Appliances in Residential Buildings: An Energy Labeling Methodology for Improving Consumers’ Awareness

Menegon

Lobosco²,

Micò

et al. 2021

Energies

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In the EU 28, the installed heating appliance stock is quite old, with an actual replacement rate of 4%. This is directly reflected in the average efficiency of the installed heating systems, where around 60% of the stock is rated with an energy class of C or D (the lowest classes of the energy label scale). The European project HARP aims at raising consumers’ awareness of the planned replacement of their old and inefficient heating appliances with more efficient and renewable solutions. In this direction, an energy labeling methodology for old appliances has been developed to rate the installed stock before the introduction of the EU energy label. The methodology has been developed for space heating appliances and water heaters, targeting two types of users: end consumers and professional users. The validation considered about 4600 space heating appliances and 800 water heaters built between 1972 and 2019. Three heating appliances and two water heaters were tested in the laboratory, confirming the reliability of the proposed methodology. The expected impact of defining an energy labeling methodology for installed heating appliances increases the current replacement rate of these appliances in the EU from 4% to 5%.

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Evaluation of the Influence of Climate Warming And Building Ageing on Building Energy Consumption

Cited by 2 publications

References 7 publications

A Novel Method to Assess Long-Term Building Energy Consumption Variation through Weather Normalization and Multiple Year Building Energy Simulation

A Novel Method to Assess Long-Term Building Energy Consumption Variation through Weather Normalization and Multiple Year Building Energy Simulation

Labeling of Installed Heating Appliances in Residential Buildings: An Energy Labeling Methodology for Improving Consumers’ Awareness

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