An Overview of Climate Change and Building Energy: Performance, Responses and Uncertainties

Yassaghi, Hamed; Hoque, Shamia

doi:10.3390/buildings9070166

Cited by 28 publications

(16 citation statements)

References 127 publications

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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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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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“…Design day files are a statistical representation of annual season for warming days (0.4%, 1% and 2%) and cooling days (99.6% and 99%). As these files are directly impacting the sizing of mechanical equipment, updated design day files based on current weather data is central to impacting better designed buildings for future conditions [15]. The DOE2.3 software within eQUEST does allow the modeller to define a design heating and cooling design day.…”

Section: Existing Work In Actual Meteorological Year (Amy) Filesmentioning

confidence: 99%

A Review Of Canadian Typical Year Weather Files For Residential Energy Simulation

Wang¹

2021

Preprint

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<div>The present study identifies changes in energy simulation of residential buildings in Toronto when three distinct weather simulation methodologies are used. The first is the Typical Year Canadian Weather File for Energy Calculations, the second is the actual meteorological data from the years of 1998 to 2018, and the last is an updated Canadian Weather File for Energy Calculations. The modelled buildings include a single-family home, high rise multi-unit residential building, and low rise multi-unit residential building. Missing meteorological data from the years 2015 to 2018 were collected from Environment Canada Historical Database and National Solar Radiation Database from the National Research Council Laboratory. The results show between a</div><div>range of 12% monthly variance in energy consumption for low rise buildings, a range of 15% monthly variance in high rise buildings, and a range of 11% variance in single family homes. Annual variances range 2% in total energy variances. The single-family home is verified to an actual home. These results suggest that the monthly values when in a typical year simulation are not indicative of long term actual climate. In addition, this research analyzes the differences in selected months of the Canadian Weather File for Energy Calculations when the historical dataset used to generate the file is changed. Based on the gradual increase in CDD and decrease in HDD, simulations using an updated CWEC represent a climate condition with less heating demand and more cooling demand. </div>

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“…In their analysis, however, they use projected weather data based on global NOAA predictions [6]. It is therefore, necessary to perform building energy simulations with climatic predictions tailored for a study location, in this case Salt Lake County, in order to have a more reliable starting point to model future building energy consumption, particularly under a changing climate [27,35].…”

Section: Literature Review and Previous Workmentioning

confidence: 99%

Modeling County-Level Energy Demands for Commercial Buildings due to Climate Variability with Prototype Building Simulations

Mendoza¹,

Bianchi²,

Thomas³

et al. 2019

Preprint

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The building sector accounts for nearly 40% of total primary energy consumption in the U.S. and E.U. and 20% of worldwide delivered energy consumption. Climate projections predict an increase of average annual temperatures between 1.1-5.4°C by 2100. As urbanization is expected to continue increasing at a rapid pace, the energy consumption of buildings is likely to play a pivotal role in the overall energy budget. In this study we used EnergyPlus building energy models to estimate the future energy demands of commercial buildings in Salt Lake County, Utah, USA, using locally-derived climate projections. We found significant variability in the energy demand profiles when simulating the study buildings under different climate scenarios, based on the energy standard the building was designed to meet, with reductions ranging from 10% to 60% in natural gas consumption for heating and increases ranging from 10% to 30% in electricity consumption for cooling. A case study, using projected 2040 building stock, showed a weighted average decrease in heating energy of 25% and an increase of 15% in cooling energy. We also found that building standards between ASHRAE 90.1-2004 and 90.1-2016 play a comparatively smaller role than variation in climate scenarios on the energy demand variability within building types. Our findings underscore the large range of potential future building energy consumption which depend on climatic conditions, as well as building types and standards.

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An Overview of Climate Change and Building Energy: Performance, Responses and Uncertainties

Cited by 28 publications

References 127 publications

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

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

A Review Of Canadian Typical Year Weather Files For Residential Energy Simulation

Modeling County-Level Energy Demands for Commercial Buildings due to Climate Variability with Prototype Building Simulations

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