Evaluating the impact of the shape of school reference buildings on bottom-up energy benchmarking

Geraldi, Matheus Soares; Gnecco, Verônica Martins; Neto, Antonio Barzan; Martins, Bárbara Augusta de Mafra; Ghisi, Enedir; Fossati, Michele; Melo, Ana Paula; Lamberts, Roberto

doi:10.1016/j.jobe.2021.103142

Cited by 12 publications

(10 citation statements)

References 34 publications

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“…The huge quantity of energy consumption has contributed significantly to climate change and constitute a severe threat to further environmental pollution and adverse impact on human health (Alege, 2014). Studies (Zhou et al 2021;Geraldi et al 2021;Christoforidou et al 2020;Nwanya, Sam-Amobi, and Ekechukwu 2016) have shown that increased demand for energy would lead to a detrimental effect on the quality of life and the atmosphere, such as global warming and ozone depletion, which have a direct impact on irreversible climate change, and critical health issues induced by emissions. (Chun-sheng et al, 2012) further explain that a lot of noxious waste from household energy consumption is harmful to human health, particularly for women and children.…”

Section: Energy Consumption and Its Environmental Impactmentioning

confidence: 99%

Energy Performance Benchmarking in University of Lagos Hostel Buildings

Faremi¹,

Kukoyi²,

Edike³

et al. 2023

LAUJOCES

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Expenditure on energy accounts for up to 35% of the overall annual operational budget for most buildings. Top management of Nigerian public universities are saddled with the responsibility of reducing operational costs and optimizing resources as a strategic response to the global economic crisis and reduced government funding in the face of rising energy demand in the universities. The study benchmarked the energy performance of the University of Lagos hostel buildings. Through a cross-sectional survey, questionnaire administration and energy audit of 130 student hostel rooms at the University of Lagos were conducted. The study assessed the power ratings and duration of use of the appliances and gadgets in each of the hostel rooms. The data collected were analysed using descriptive and inferential statistical tools comprising frequency tables, bar chart, sum of scores, correlation and ANOVA analysis respectively. The results indicate the Building Energy Performance Index of the hostels is 372.11 kWh/m2/year which significantly exceeds the benchmark for hostel buildings. Electric hot plates, pressing irons and fans are the topmost energy-consuming appliances across the student hostels. The study concludes that the energy performance of the student hostel is poor and recommends that the University of Lagos management should define power wattage threshold for appliances to be used by students in the hostels as a major active energy optimization strategy.

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Section: Energy Consumption and Its Environmental Impactmentioning

confidence: 99%

Energy Performance Benchmarking in University of Lagos Hostel Buildings

Faremi¹,

Kukoyi²,

Edike³

et al. 2023

LAUJOCES

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“…Geraldi et al [28] developed reference buildings based on information about school building stock shapes in Brazil, aiming to evaluate the impact of the shape on buildings energy benchmarking. The reference buildings were simulated for different scenarios, and the simulation results were used to develop regressive benchmarking models to reproduce the building stock performance.…”

Section: Reference Models For Thermal and Energy Simulationsmentioning

confidence: 99%

Finding Patterns of Construction Systems in Low-Income Housing for Thermal and Energy Performance Evaluation through Cluster Analysis

Schaefer,

Scolaro,

Ghisi

2023

Sustainability

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Energy consumption in buildings depends on many factors, including envelope materials. This paper aims to propose a method based on cluster analysis for finding reference models based on actual construction systems of low-income housing. Such reference models can be used in future thermal and energy performance studies. Data on the envelope composition of a sample of 106 dwellings were obtained through a field survey in Florianópolis, southern Brazil. Cluster analyses were performed to group similar materials and construction systems together, and therefore, a reference model was obtained for each cluster. Computer simulations and hypothesis tests were performed to verify whether the reference models represented the sample. Three reference models were obtained from the cluster analysis. Cluster 1 comprised houses with ceramic-brick walls, concrete floor, and concrete slabs. Cluster 2 comprised houses with ceramic-brick walls, concrete floor, ceramic tiles, and wooden ceilings. Cluster 3 comprised houses with wooden walls, wooden floor, cement tiles, and wooden ceilings. Cluster 1 performed better than the other clusters in the cold season (mean degree-hour was 1299 for cooling and 1361 for heating in the reference model). Cluster 2 performed better the other clusters over the hot season (mean degree-hour was 1014 for cooling and 1451 for heating). Cluster 3 showed the worst performance (mean degree-hour was 3793 for cooling and 2988 for heating). Thus, the hypothesis tests have shown that the three reference models differ from each other and can represent their clusters properly. Cluster analysis was a practical and objective method for obtaining reference models.

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“…In Brazil too, Soares et al [ 27 ] reviewed the impact of building shape on the energy performance of a group of educational buildings. The initial sample took into account 28 buildings.…”

Section: Introductionmentioning

confidence: 99%