Modeling the effect of climate change on building energy demand in Los Angeles county by using a GIS-based high spatial- and temporal-resolution approach

Zheng, Yuanfan; Weng, Qihao

doi:10.1016/j.energy.2019.04.052

Cited by 37 publications

(23 citation statements)

References 27 publications

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“…Building energy consumption is the largest contributor to anthropogenic heat in many cities [1][2][3], which is demonstrated to be a major contributor to urban heat island (UHI) formation [4][5][6]. Demands for space heating and cooling in buildings, which account for approximately 50% of total building energy consumption [7,8], can be significantly affected by global warming [9][10][11]. The increase in annual building energy usage will cause higher carbon emission because traditional fossil fuels are still the major electricity production resources that are used for cooling in buildings [11].…”

Section: Introductionmentioning

confidence: 99%

“…Demands for space heating and cooling in buildings, which account for approximately 50% of total building energy consumption [7,8], can be significantly affected by global warming [9][10][11]. The increase in annual building energy usage will cause higher carbon emission because traditional fossil fuels are still the major electricity production resources that are used for cooling in buildings [11].…”

Section: Introductionmentioning

confidence: 99%

“…Policymakers need to make efforts to reduce the energy consumptions in new and existing buildings under the context of climate change [11][12][13]. One important direction is to apply mitigation strategies such as urban greening and increasing renewable energy sources to ease environmental problems, especially the UHI caused by urbanization.…”

Section: Introductionmentioning

confidence: 99%

“…In many cases, the mitigation potential of building energy consumption increases induced by climate change has been briefly discussed in existing publications [11,17,21,30,44,45]. However, little research has been conducted to test the performance of mitigation options, such as sustainable roofs (green roofs, PV roofs, or PV-greens), based on the results of these previous studies, which can be valuable in guiding policymakers.…”

Section: Introductionmentioning

confidence: 99%

“…Although many studies have estimated the cooling effect of green roofs, few studies have evaluated their performance under the context of climate change, especially when integrated with PV systems. This study assessed the potential mitigation effects of PV-green roofs on increased building energy demand on selected buildings in two study sites in Los Angeles County, which found to exhibit the largest increase in the cooling energy demand among all neighborhoods caused by climate change according to the findings in Reference [11]. More specifically, the objective of this study is to test the potential mitigation effects of green roofs and PV-green roofs on the buildings that are more vulnerable to climate change in terms of energy demand increase.…”

Section: Introductionmentioning

confidence: 99%

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

Zheng

Weng

2020

Remote Sensing

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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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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Zheng

Weng

2020

Remote Sensing

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Using urban building energy modeling to quantify the energy performance of residential buildings under climate change

et al. 2023

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The building sector is facing a challenge in achieving carbon neutrality due to climate change and urbanization. Urban building energy modeling (UBEM) is an effective method to understand the energy use of building stocks at an urban scale and evaluate retrofit scenarios against future weather variations, supporting the implementation of carbon emission reduction policies. Currently, most studies focus on the energy performance of archetype buildings under climate change, which is hard to obtain refined results for individual buildings when scaling up to an urban area. Therefore, this study integrates future weather data with an UBEM approach to assess the impacts of climate change on the energy performance of urban areas, by taking two urban neighborhoods comprising 483 buildings in Geneva, Switzerland as case studies. In this regard, GIS datasets and Swiss building norms were collected to develop an archetype library. The building heating energy consumption was calculated by the UBEM tool—AutoBPS, which was then calibrated against annual metered data. A rapid UBEM calibration method was applied to achieve a percentage error of 2.7%. The calibrated models were then used to assess the impacts of climate change using four future weather datasets out of Shared Socioeconomic Pathways (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5). The results showed a decrease of 22%–31% and 21%–29% for heating energy consumption, an increase of 113%–173% and 95%–144% for cooling energy consumption in the two neighborhoods by 2050. The average annual heating intensity dropped from 81 kWh/m 2 in the current typical climate to 57 kWh/m 2 in the SSP5-8.5, while the cooling intensity rose from 12 kWh/m 2 to 32 kWh/m 2 . The overall envelope system upgrade reduced the average heating and cooling energy consumption by 41.7% and 18.6%, respectively, in the SSP scenarios. The spatial and temporal distribution of energy consumption change can provide valuable information for future urban energy planning against climate change.

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Energy, climate change and built environment

Tahir,

Sexton,

Al-Ghamdi

2024

Reference Module in Earth Systems and Environmental Sciences

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Modeling the effect of climate change on building energy demand in Los Angeles county by using a GIS-based high spatial- and temporal-resolution approach

Cited by 37 publications

References 27 publications

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

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

Using urban building energy modeling to quantify the energy performance of residential buildings under climate change

Energy, climate change and built environment

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