Impacts of climate change on energy consumption and peak demand in buildings: A detailed regional approach

Dirks, James A.; Gorrissen, Willy J.; Hathaway, John E.; Skorski, Daniel C.; Scott, Michael J.; Pulsipher, Trenton C.; Huang, Maoyi; Liu, Ying; Rice, Jennie S.

doi:10.1016/j.energy.2014.08.081

Cited by 192 publications

(83 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The coefficients associated with this feature presented the higher values in all equations. The house age was significant in both models, except to discriminate a classification between c 2 and c 3 in summer (24). The odds of a consumer being in c 1 or c 2 versus c 3 were positively related with both features in spring, while in summer, they were negatively related.…”

Section: Featuresmentioning

confidence: 79%

“…Regarding the consumers' characteristics, their age was significant for both models, except to discriminate a classification between c 2 and c 3 in summer (24). The social class was significant only for the summer LR model.…”

Section: Featuresmentioning

confidence: 96%

“…We performed an LR for all the N consumers, where N = 1246 and k = 1:N in (21)- (24). We aimed to assess the relationship between the socio-economic and household key features and the different groups of consumption patterns in each season.…”

Section: Analysis With Logistic Regressionmentioning

confidence: 99%

“…The investigation of the weather impact on energy consumption is also addressed in the literature. The gas sector is one of the most sensitive sectors affected by weather risk and time of year [21][22][23][24][25], since there is higher gas demand in colder seasons compared to warmer seasons.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Segmentation of Residential Gas Consumers Using Clustering Analysis

et al. 2017

View full text Add to dashboard Cite

Abstract:The growing environmental concerns and liberalization of energy markets have resulted in an increased competition between utilities and a strong focus on efficiency. To develop new energy efficiency measures and optimize operations, utilities seek new market-related insights and customer engagement strategies. This paper proposes a clustering-based methodology to define the segmentation of residential gas consumers. The segments of gas consumers are obtained through a detailed clustering analysis using smart metering data. Insights are derived from the segmentation, where the segments result from the clustering process and are characterized based on the consumption profiles, as well as according to information regarding consumers' socio-economic and household key features. The study is based on a sample of approximately one thousand households over one year. The representative load profiles of consumers are essentially characterized by two evident consumption peaks, one in the morning and the other in the evening, and an off-peak consumption. Significant insights can be derived from this methodology regarding typical consumption curves of the different segments of consumers in the population. This knowledge can assist energy utilities and policy makers in the development of consumer engagement strategies, demand forecasting tools and in the design of more sophisticated tariff systems.

show abstract

Section: Featuresmentioning

confidence: 79%

Section: Featuresmentioning

confidence: 96%

Section: Analysis With Logistic Regressionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Segmentation of Residential Gas Consumers Using Clustering Analysis

et al. 2017

View full text Add to dashboard Cite

show abstract

“…Building energy demand will change in response to future climate change, with cooling and heating demand generally going in opposite directions. Net increases or decreases largely depend on a region's cooling or heating demand dominance [11]. It is thus key to understand how and local climate change affects building energy demand distinguish between heating and cooling.…”

Section: Changing Climate and Changing Buildingsmentioning

confidence: 99%

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

Mauree¹,

Coccolo²,

Perera³

et al. 2018

Preprint

View full text Add to dashboard Cite

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.

show abstract

Overheating and energy use in urban office buildings in a warming climate

Morshed

Mourshed

2022

Japan Architectural Review

View full text Add to dashboard Cite

Buildings are responsible for one-third of the UK's greenhouse gas (GHG) emissions. The move to reduce emissions has resulted in recent stringent building regulations primarily aimed at reducing heating and associated energy use, often by improving the building fabric's airtightness. However, internal gains dominated, highly-insulated and airtight non-domestic buildings will likely overheat in the projected warming climate, requiring energy-intensive cooling, thus diminishing the effectiveness of heating efficiency focused regulations. This research investigated the effects of the warming climate on overheating and energy use and resulting emissions in representative urban office spaces in London in the present-day and projected future climates using hourly dynamic thermal simulations. Findings suggest that airtight and highly-insulated office buildings in the temperate UK will overheat in the 2050s. Heating demand reduces by at least 36% in the 2050s but electricity consumption and summertime space conditioning will increase by at least 13% and 55% respectively when hybrid cooling is adopted to ameliorate overheating. Despite the increase, a mixed-mode ventilation strategy is one of the ways of achieving overall energy efficiency while meeting benchmark overheating and emissions targets. Current heating-focused legislation needs to be re-evaluated to account for the effects of the warming climate and overheating risks.

show abstract

Impacts of climate change on energy consumption and peak demand in buildings: A detailed regional approach

Cited by 192 publications

References 43 publications

Segmentation of Residential Gas Consumers Using Clustering Analysis

Segmentation of Residential Gas Consumers Using Clustering Analysis

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

Overheating and energy use in urban office buildings in a warming climate

Contact Info

Product

Resources

About