How will future climate impact the design and performance of nearly zero energy buildings (NZEBs)?

D’Agostino, Delia; Parker, Danny; Epifani, Ilenia; Crawley, Drury B.; Lawrie, Linda K.

doi:10.1016/j.energy.2021.122479

Cited by 80 publications

(25 citation statements)

References 49 publications

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“…This is detailed in Section 4.3 and Table 4 of paper [1] . Storage is 24 kWh for a 6 kW PV system on residential building and scales with the installed PV on the other systems [5] , [6] , [6] . This is larger than might be considered for non-electric buildings [8] , [9] , [10] , but this level was deemed necessary for effective daily storage for the transformation of heating and water heating from natural gas to electric systems [5] , [6] , [7] , [8] , [9] , [10] , [11] , [12] , [13] .…”

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

Data on roof renovation and photovoltaic energy production including energy storage in existing residential buildings

D'Agostino,

Parker,

Melià

et al. 2022

Data in Brief

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This data article refers to the paper "Optimizing photovoltaic electric generation and roof insulation in existing residential buildings” [1] . The reported data deal with roof retrofit in different types of existing residential buildings (single-family, multi-family and apartment complex) located in Milan (Northern Italy). The study focus on the optimization of envelope insulation and photovoltaic (PV) energy production associated with different building geometries, initial insulation level, roof constructions, and materials. The data linked within this article relate to the modelled building energy consumption, renewable production, potential energy savings, and costs. Data refer to two main scenarios: refurbishment (roof in need of replacement and insulation) and re-roofing (energy intervention for roof improvement). Data allow to visualize energy consumption before and after the optimization, selected insulation level and material, costs and PV renewable production (with and without energy storage). The reduction of energy consumption can be visualized for each building type and scenario. Further data is available on CO 2 emissions, envelope, materials, and systems.

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Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

Data on roof renovation and photovoltaic energy production including energy storage in existing residential buildings

D'Agostino,

Parker,

Melià

et al. 2022

Data in Brief

View full text Add to dashboard Cite

show abstract

“…Climate change is widely acknowledged as one of the most serious threats of the 21st century, with severe and interconnected consequences for the environment, health, and economy [1,2]. Unusual weather events like heatwaves have become more common and severe around the world in the last decade, particularly during summer with temperatures ranging above 35 °C [2]. Parameters like precipitation, humidity, wind, and solar irradiance also change due to climate change [3].…”

Section: Introductionmentioning

confidence: 99%

Climate change sensitive sizing and design for nearly zero-energy office building systems in Brussels

Amaripadath

Rahif

Velickovic³

et al. 2023

Energy and Buildings

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“…Based on the results from descriptive studies, research on predicting building energy use has been conducted. The field where the topic is most frequently investigated is architecture engineering, the main focus point being on building optimization [9][10][11][12][13]. With the rising importance of carbon neutrality, a number of scholars have recently started exploring the future changes in building energy consumption on larger scales [14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Forecasting Building Energy Consumption in Seoul using ARIMA under Climate Change and Socioeconomic Scenarios

Jiyeon¹,

Park²,

Li³

et al. 2023

Preprint

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For the Seoul Metropolitan Government to meet the goal of 2050 carbon neutrality, there is a crucial need to understand future building energy consumption for more informed policy-making. Seoul consists of 25 districts, which make up six communities. This study aims to predict residential electricity uses in six communities of Seoul Metropolitan City under different future development scenarios. A total of 25 prediction models corresponding to 25 districts in Seoul were constructed using seasonal ARIMA with exogenous variables. The models consider cooling degree days (CDD), heating degree days (HDD), total population, older adult ratio, and GRDP from 2010 to 2019 as predictive variables. Electricity consumption from residential buildings in each district at the end of the year 2050 was then estimated from the models under four development scenarios. The four scenarios were defined based on two SSP-RCP climate change scenarios and two Korean Statistical Information Service (KOSIS) socioeconomic scenarios. The forecasting results were aggregated at the community level in Seoul. The aggregated results indicated that even under the same sets of scenario assumptions, the trend of future residential energy change varies across different communities. Therefore, different measures should be taken when implementing community-level plans to reduce building energy.

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How will future climate impact the design and performance of nearly zero energy buildings (NZEBs)?

Cited by 80 publications

References 49 publications

Data on roof renovation and photovoltaic energy production including energy storage in existing residential buildings

Data on roof renovation and photovoltaic energy production including energy storage in existing residential buildings

Climate change sensitive sizing and design for nearly zero-energy office building systems in Brussels

Forecasting Building Energy Consumption in Seoul using ARIMA under Climate Change and Socioeconomic Scenarios

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