Building energy demand within a climate change perspective: The need for future weather file

The study describes the results of climate change impact assessment on building energy use in Toronto, Canada. Accordingly, three future weather data sets are generated and applied to the energy simulation of 16 building prototypes. Both statistical and dynamical downscaling techniques are used to generate the future weather files. The results indicate an average decrease for the future in the range of 18-33% in heating EUI, and an average increase of 16-126% in cooling EUI, depending on the baseline climate and building type. In addition, the GHG emissions for each building model are presented. It is concluded that the application of future weather files for building performance simulation leads to a better quantification of building energy demand in the future than a historical weather file. Furthermore, the results demonstrate the need to modify and adapt existing building modelling regulations and to plan future building according to the future climate.

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Projecting building energy demand using probabilistic weather conditions accounting for climate change

CIBSE Technical Symposium 2011 ◽

10.3943/2011.0043 ◽

2011 ◽

Cited By ~ 1

Author(s):

Williams

Keyword(s):

Climate Change ◽

Energy Demand ◽

Weather Conditions ◽

Building Energy

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Modeling the Effect of Green Roof Systems and Photovoltaic Panels for Building Energy Savings to Mitigate Climate Change

Remote Sensing ◽

10.3390/rs12152402 ◽

2020 ◽

Vol 12 (15) ◽

pp. 2402 ◽

Cited By ~ 1

Author(s):

Yuanfan Zheng ◽

Qihao Weng

Keyword(s):

Climate Change ◽

Energy Demand ◽

Energy Savings ◽

Soil Depth ◽

Green Roofs ◽

Building Energy ◽

Positive Energy ◽

Solar Photovoltaic ◽

Area Index ◽

Pv Systems

Green roofs and rooftop solar photovoltaic (PV) systems are two popular mitigation strategies to reduce the net building energy demand and ease urban heat island (UHI) effect. This research tested the potential mitigation effects of green roofs and solar photovoltaic (PV) systems on increased buildings energy demand caused by climate change in Los Angeles County, California, USA. The mitigation effects were assessed based on selected buildings that were predicted to be more vulnerable to climate change. EnergyPlus software was used to simulate hourly building energy consumption with the proper settings of PV-green roofs. All buildings with green roofs showed positive energy savings with regard to total energy and electricity. The savings caused by green roofs were positively correlated with three key parameters: Leaf Area Index (LAI), soil depth, and irrigation saturation percentage. Moreover, the majority of the electricity-saving benefits from green roofs were found in the Heating, Ventilation, and Cooling (HVAC) systems. In addition, this study found that green roofs have different energy-saving abilities on different types of buildings with different technologies, which has received little attention in previous studies.

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CLIMATE CHANGE EFFECTS ON URBAN LEVEL: CITIZEN HEALTH AND BUILDING ENERGY DEMAND

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xlii-3-w2-83-2017 ◽

2017 ◽

Vol XLII-3/W2 ◽

pp. 83-89

Author(s):

R. S. José ◽

J. L. Pérez ◽

L. Pérez ◽

R. M. Gonzalez Barras ◽

J. Pecci ◽

...

Keyword(s):

Climate Change ◽

Air Pollution ◽

Energy Demand ◽

Global Climate ◽

Building Energy ◽

Health Impact ◽

Assessment Tools ◽

Climate Scenarios ◽

Mortality And Morbidity ◽

Rcp 8.5

The future impacts of climate change on citizen health and building energy demand have been researched considering two possible IPCC global climate scenarios: RCP 4.5 (stabilization emission scenario) and RCP 8.5 (little effort to reduce emissions). The climate scenarios have been dynamically downscaled from 1&deg; to 50 meters of spatial resolution over three European cities: Madrid, Milan and London. Air quality has also been simulated up to streets levels. Climate and air pollution information are used as input to the health impact and building energy demand assessment tools. The impacts are calculated as future (2030, 2050 and 2100) minus present (2011). The short term health impact assessment includes mortality and morbidity related with changes in the temperature and air pollution concentrations. The larger increase of costs of mortality and morbidity was noted in the increasing scenario (RCP8.5) for year 2100, because RCP 8.5 is characterized by temperature increments. Maps of the spatial distribution of the costs of the climate change have showed Building energy demand simulations have been achieved with the EnergyPlus model using specific prototype buildings based on ASHRAE 90.1 Prototype Building Modeling Specifications and urban climate information by each building. .The results show an increase in cooling demand with RCP 8.5 because future will be cooler that the present.

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