Making energy simulation easier for future climate – Synthesizing typical and extreme weather data sets out of regional climate models (RCMs)

Nik, Vahid M.

doi:10.1016/j.apenergy.2016.05.107

Cited by 150 publications

(90 citation statements)

References 69 publications

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“…For this purpose, hourly weather data are produced in accordance with the statistical summary data available, such as monthly or daily data; hence, SMY data can follow the sequence of real monthly or daily weather fluctuations well [12]. In addition, the synthesized data can represent the variations and uncertainties of climate to some extent [13].…”

Section: Introductionmentioning

confidence: 99%

Comparison of typical year and multiyear building simulations using a 55-year actual weather data set from China

et al. 2017

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Abstract:Weather has significant impacts on the thermal environment and energy use in buildings. Thus, accurate weather data are crucial for building performance evaluations. Traditionally, typical year data inputs are used to represent long-term weather data. However, there is no guarantee that a single year represents the changing climate well. In this study, the long-term representation of a typical year was assessed by comparing it to a 55-year actual weather data set. To investigate the weather impact on building energy use, 559 simulation runs of a prototype office building were performed for 10 large cities covering all climate zones in China. The analysis results demonstrated that the weather data varied significantly from year to year. Hence, a typical year cannot reflect the variation range of weather fluctuations. Typical year simulations overestimated or underestimated the energy use and peak load in many cases. With the increase in computational power of personal computers, it is feasible and essential to adopt multiyear simulations for full assessments of long-term building performance, as this will improve decision-making by allowing for the full consideration of variations in building energy use.

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Section: Introductionmentioning

confidence: 99%

Comparison of typical year and multiyear building simulations using a 55-year actual weather data set from China

et al. 2017

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“…In this work, the assessment was made for three periods of 2010-2039, 2040-2069 and 2070-2099. Consequently, another major challenge in the impact assessment of climate change will be dealing with the large data sets (as it is discussed thoroughly is some previous works [14,44,45]). This results in enormous calculation loads, especially when microclimate, retrofitting of buildings and sizing of the energy system are considered.…”

Section: Preparation Of Climate Files For Future Scenariosmentioning

confidence: 99%

“…In this method, each 30-year period is represented by three 1-year weather data sets: typical downscaled year (TDY), extreme cold year (ECY) and extreme warm year (EWY). The application of the method has been verified for energy [44,46] and hygrothermal simulation of buildings [47]. A more detailed description about preparing the climate data for building simulations is given by Nik [40].…”

Section: Preparation Of Climate Files For Future Scenariosmentioning

confidence: 99%

“…The considered future climate scenarios are: RCA4-1) CNRM-CM5-rcp45, 2) CNRM-CM5-rcp85, 3) ICHEC-EC-EARTH-rcp45, 4) ICHEC-EC-EARTH-rcp85 and 5) IPSL-CM5A-MR-rcp85. More information are available about the climate scenarios and calculating some of the climate parameters in [40,44] respectively. A valid impact assessment should consider several climate scenarios for periods not shorter than 20-30 years.…”

Section: Preparation Of Climate Files For Future Scenariosmentioning

confidence: 99%

“…This results in enormous calculation loads, especially when microclimate, retrofitting of buildings and sizing of the energy system are considered. To overcome the computational challenges, while not neglecting extreme climatic conditions, representative weather data sets are generated as described by Nik [44]. In this method, each 30-year period is represented by three 1-year weather data sets: typical downscaled year (TDY), extreme cold year (ECY) and extreme warm year (EWY).…”

Section: Preparation Of Climate Files For Future Scenariosmentioning

confidence: 99%

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A New Framework to Evaluate Urban Design Using Urban Microclimatic Modelling in Future Climatic Conditions

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Building more energy efficient and sustainable urban areas that will both mitigate the effect of climate change and adapt for the future climate, requires the development new tools and methods that can help urban planners, architect and communities achieve this goal. In the current study, we designed a workflow that links different methodologies developed separately, to derive the energy consumption of a university school campus for the future. Three different scenarios for typical future years (2039, 2069, 2099) were run as well as a renovation scenario (Minergie-P). We analyse the impact of climate change on the heating and cooling demand of the buildings and determined the relevance of the accounting of the local climate in this particular context. The results from the simulations showed that in the future there will a constant decrease in the heating demand while for the cooling demand there will be a significant increase. It was further demonstrated that when the local climate was taken into account there was an even higher rise in the cooling demand but also that the proposed renovations were not sufficient to design resilient buildings. We then discuss the implication of this work on the simulation of building energy consumption at the neighbourhood scale and the impact of future local climate on energy system design. We finally give a few perspective regarding improved urban design and possible pathways for the future urban areas.

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Enhancing Energy System Resilience: Navigating Climate Change and Security Challenges

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2023

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Making energy simulation easier for future climate – Synthesizing typical and extreme weather data sets out of regional climate models (RCMs)

Cited by 150 publications

References 69 publications

Comparison of typical year and multiyear building simulations using a 55-year actual weather data set from China

Comparison of typical year and multiyear building simulations using a 55-year actual weather data set from China

A New Framework to Evaluate Urban Design Using Urban Microclimatic Modelling in Future Climatic Conditions

Enhancing Energy System Resilience: Navigating Climate Change and Security Challenges

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