Water Footprint of the Life Cycle of Buildings: Case Study in Andalusia, Spain

Rivero-Camacho, Cristina; Marrero, Madelyn

doi:10.1007/978-3-030-76441-8_7

Cited by 6 publications

(2 citation statements)

References 36 publications

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“…Similarly, in China, researchers determined the WF of several building constructions to be 20.83 m water 3 /m 2 [50] and 26.6 m water 3 /m 2 [26]. In Spain, the WF of the complete life cycle of single-family dwellings is 27 m water 3 /m 2 which includes the direct water consumption of the occupants [50].…”

Section: Resultsmentioning

confidence: 99%

Methodology for Improving the Sustainability of Industrial Buildings via Matrix of Combinations Water and Carbon Footprint Assessment

et al. 2022

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In Spain, 90% of companies are small- or medium-sized and are usually located in industrial areas, in warehouses with particular characteristics. This paper presents a methodology for the environmental assessment of this type of construction with water and carbon footprint indicators. A database was developed for the identification of typologies and common construction elements based on a sample of 87 projects in the province of Seville. Based on this, the paper proposes a methodology for comparative analysis that merges the data obtained from the research survey with environmental and economic data. The work proposes a systematic classification of the construction units of industrial buildings in order to improve the sustainability of the decision-making process by introducing environmental information on construction materials and machinery. First, the most impactful elements were identified, and then the technical solutions were adjusted using solutions already in the sample of 87 industrial projects. Reductions of up to 74% in the carbon footprint and 54% of the water footprint were found, as well as 14% reduction in construction costs in the most favorable case.

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Section: Resultsmentioning

confidence: 99%

Methodology for Improving the Sustainability of Industrial Buildings via Matrix of Combinations Water and Carbon Footprint Assessment

et al. 2022

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confidence: 99%