Climate Change Effects on Belgian Households: A Case Study of a Nearly Zero Energy Building

Attia, Shady; Gobin, Camille

doi:10.3390/en13205357

Cited by 35 publications

(29 citation statements)

References 22 publications

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“…Accordingly, a Passive House case study is simulated with minimum and maximum ventilation rates under four climate scenarios using dynamic simulation tool EnergyPlus v9.0. The monthly energy consumption and hourly indoor air temperature is calibrated by recorded data in 2015-2018 using ASHRAE 140 (2017) iterative method (Attia & Gobin, 2020). It is based on the calculation of Normalized Mean Bias Error (NMBE) and the Coefficient of Variation of Root Square Mean Error (CV(RSME)).…”

Section: Methodsmentioning

confidence: 99%

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Climate change sensitive overheating assessment in dwellings: a case study in Belgium

Rahif

Fani²,

Kosiński

et al. 2021

Building Simulation Conference Proceedings

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Due to the current rate of global warming, overheating in buildings is expected to be more frequent and intense in future climates. High indoor temperature affects occupant productivity, comfort, and health. Thus, it is necessary to predict the thermal performance of buildings concerning climate change. This paper applies a climate change sensitive overheating assessment method to a lightweight timber house in Eupen, Belgium. Three metrics are used, namely Indoor Overheating Degree (𝐼𝑂𝐷), Ambient Warmness Degree (𝐴𝑊𝐷), and Building Climate Vulnerability Factor (𝐵𝐶𝑉𝐹). The overheating risk is assessed under four climate scenarios representing historical and future scenarios using dynamic simulation tool EnergyPlus v9.0. This method accounts for overheating severity and frequency, considering zonal occupancy profiles and thermal comfort models. The results indicate BCVF<1 for the Passive House case study showing its high potential in suppressing the outdoor thermal stress in the long-term. Finally, the increase in ventilation rate proves to be an adequate measure by decreasing the zonal peak temperatures up to 10℃ and indoor overheating risk by ~60%. Key Innovations• Warm discomfort during the heating period is contained within the overheating analysis • Lower base temperature for calculation of AWD is considered • Climate change-sensitive overheating assessment is applied on a high-performance building in the Belgian context Practical ImplicationsThis paper provides a basis for the field experts in climateresilient building design. It makes them aware of expected overheating risks in future climates and consider adaptation strategies in early-design stages.

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Section: Methodsmentioning

confidence: 99%

“…They found out that the only study that provides a climate change sensitive approach is the study of (Hamdy et al, 2017). In our paper, we apply this method to a Passive House (Attia & Gobin, 2020;Fani, 2020) in Belgium to predict its thermal performance in future climates.…”

Section: Introductionmentioning

confidence: 99%

Climate change sensitive overheating assessment in dwellings: a case study in Belgium

Rahif

Fani²,

Kosiński

et al. 2021

Building Simulation Conference Proceedings

Self Cite

View full text Add to dashboard Cite

show abstract

“…For these locations, Q T is, in general, projected to increase, and the increment cannot be effectively counterbalanced by modifying the parameters of the studied passive design measures. In this perspective, Attia and Gobin [69] warned that even thermal adaptation strategies, such as clothing level and human thermal comfort adaptation, cannot suppress the effect of global warming. Therefore, the results provide crucial information for designing energy-efficient buildings that strive for climate adaptation and provide a general outlook for policymakers.…”

Section: The Effect Of Passive Design Measures On Building Energy Efficiency Under Climate Changementioning

confidence: 99%

Strategy for achieving long-term energy efficiency of European single-family buildings through passive climate adaptation

Pajek

Košir

2021

Applied Energy

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Low energy use of single-family buildings can be assured solely by passive design.• Passive adaptation only partly counterbalances climate change effects on energy use.• Total energy use will decrease in cold and temperate and increase in warm climates.• The most effective long-term climate adaptation measure is applying smaller windows.• New buildings should be designed according to mid-term optima (2020/2050 period).

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“…At this point it must be emphasized that, in the existing literature, numerous studies have employed either statistical or dynamical downscaling approaches to assess the impact of climate change on the buildings' energy performance [21][22][23][24][25][26]. Yet, in all these cases, the buildings' energy performance is assessed only for the general governing climatic conditions without considering the microclimatic conditions characterizing each study area.…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Combined Effect of Climate Change and Urban Microclimate on Buildings’ Heating and Cooling Energy Demand in a Mediterranean City

et al. 2021

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Climate change has a major impact on the urban built environment, both with respect to the heating and cooling energy requirements, but also regarding the higher probability of confronting extreme events such as heatwaves. In parallel, the ongoing urbanization, the urban microclimate and the formation of the urban heat island effect, compounding the ongoing climate change, is also a considerable determinant of the building’s energy behavior and the outdoor thermal environment. To evaluate the magnitude of the complex phenomenon, the current research investigates the effect of climate change and urban heat island on heating and cooling energy needs of an urban building unit in Thessaloniki, Greece. The study comparatively evaluates different tools for the generation of future weather datasets, considering both statistical and dynamical downscaling methods, with the latter involving the use of a regional climate model. Based on the output of the regional climate model, another future weather dataset is created, considering not only the general climatic conditions, but also the microclimatic parameters of the examined case study area, under the future climate projections. The generated future weather datasets are then used as an input parameter in the dynamic energy performance simulations with EnergyPlus. For all examined weather datasets, the simulation results show a decrease of the heating energy use, an effect that is strongly counterbalanced by the rise of the cooling energy demand. The obtained simulation results also reveal the contribution of the urban warming of the ongoing climate change, demonstrating the need to perform a holistic analysis for the buildings’ energy needs under future climate conditions.

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Climate Change Effects on Belgian Households: A Case Study of a Nearly Zero Energy Building

Cited by 35 publications

References 22 publications

Climate change sensitive overheating assessment in dwellings: a case study in Belgium

Climate change sensitive overheating assessment in dwellings: a case study in Belgium

Strategy for achieving long-term energy efficiency of European single-family buildings through passive climate adaptation

Evaluating the Combined Effect of Climate Change and Urban Microclimate on Buildings’ Heating and Cooling Energy Demand in a Mediterranean City

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