Toward the Ecological Footprint of the use and maintenance phase of buildings: Utility consumption and cleaning tasks

Martínez-Rocamora, Alejandro; Solís-Guzmán, Jaime; Marrero, Madelyn

doi:10.1016/j.ecolind.2016.04.007

Cited by 40 publications

(29 citation statements)

References 19 publications

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“…The OERCO2 tool (accessible at http://co2tool.oerco2.eu/) is an online application that enables the carbon footprint produced in the construction of residential buildings to be estimated. It stems from several previous research studies developed by the authors [1,[42][43][44][45] and includes the evaluation of CO 2 emissions for the construction process of 140 different residential building typologies. For the embodied energy assessment, the tool uses a cradle-to-site LCA analysis, that is, A1 to A5 life-cycle phases, which correspond to manufacturing (A1-A3) and construction (A4-A5).…”

Section: Oerco2 Toolmentioning

confidence: 99%

“…The budgets of 140 different projects are analysed and classified; their budgets are reorganized in a construction-work breakdown system (CBS) that facilitates comparison. This organization system has been successfully applied in previous research to estimate the generation of construction waste [46] and to evaluate the ecological footprint of buildings [1,43,45,47,48].…”

Section: Oerco2 Toolmentioning

confidence: 99%

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Carbon Footprint Estimation Tool for Residential Buildings for Non-Specialized Users: OERCO2 Project

et al. 2018

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Existing tools for environmental certification of buildings are failing in their ability to reach the general public and to create social awareness, since they require not only specialized knowledge regarding construction and energy sources, but also environmental knowledge. In this paper, an open-source online tool for the estimation of the carbon footprint of residential buildings by non-specialized users is presented as a product from the OERCO2 Erasmus + project. The internal calculations, data management and operation of this tool are extensively explained. The ten most common building typologies built in the last decade in Spain are analysed by using the OERCO2 tool, and the order of magnitude of the results is analysed by comparing them to the ranges determined by other authors. The OERCO2 tool proves itself to be reliable, with its results falling within the defined logical value ranges. Moreover, the major simplification of the interface allows non-specialized users to evaluate the sustainability of buildings. Further research is oriented towards its inclusion in other environmental certification tools and in Building Information Modeling (BIM) environments.

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Section: Oerco2 Toolmentioning

confidence: 99%

Section: Oerco2 Toolmentioning

confidence: 99%

Carbon Footprint Estimation Tool for Residential Buildings for Non-Specialized Users: OERCO2 Project

et al. 2018

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“…The former adopts a hybrid indicator system to summarize progress on regional sustainable development. Examples are genuine saving [22], energy analysis [23,24], ecological footprint [25,26], the human development index [27,28], and the social progress index [29]. These indicator systems work well in respect of specific criteria, but less well as a general measure of sustainability.…”

Section: Introductionmentioning

confidence: 99%

An Integrated Indicator System and Evaluation Model for Regional Sustainable Development

Shi

Yuan

et al. 2019

Sustainability

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Regional sustainable development has become a worldwide issue in recent years, but there is no single and universally agreed method of choosing indicators for sustainable development assessment. The subjective selection of indicators will affect the results of assessment. Each evaluation method has its own advantages and disadvantages, and the methods used to determine indicator weight also differ. Regional sustainable development is a complex system, which is difficult to evaluate objectively and scientifically using a single method. Therefore, a new integrated indicator system and evaluation model is constructed here to more accurately reflect regional sustainable development level. The indicator system and evaluation model were constructed using a case study of 17 cities in Shandong Province, China. The indicator system includes 4 subsystems, i.e., economy, society, resource, and environment. These indicators were selected through correlation analysis and discrimination analysis. A back propagation neural network was applied to evaluate the respective scores of the 4 subsystems. The comprehensive score for regional sustainable development was evaluated using the analytic hierarchy process with entropy correction. The results show that sustainable development levels in these 17 cities show a gradually decreasing trend from east to west and from coast to inland. Cities with an underdeveloped economy usually display poor levels of social development and serious environmental pollution. Through the improvement of indicator screening, evaluation model, and result correction, the error caused by a single evaluation method can be reduced significantly. This new methodology for indicator selection and comprehensive evaluation provides a new perspective for the assessment of regional sustainable development.

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“…The EF methodology by Solís-Guzmán et al [28] has been adapted in order to measure the whole life cycle of the building: urbanization [29], use [30], maintenance [31], and the rehabilitation or demolition [32].…”

Section: Introductionmentioning

confidence: 99%

HEREVEA Tool for Economic and Environmental Impact Evaluation for Sustainable Planning Policy in Housing Renovation

et al. 2019

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Dwelling renovation has gained major importance in the European Union due to the current need for the urban regeneration of many cities, most of whose existing buildings (approximately 60%) were built in the 1960s to 1980s. These renovations require improvements in aspects such as structural integrity, accessibility, and the updating of deteriorated or obsolescent installations. This reveals that building renovations constitute a key factor in the future of the European building sector and must be included in strategies both for the reduction of this sector’s environmental impact and for climate change mitigation. In order to determine the effectiveness of renovations and their impact, the HEREVEA (Huella Ecológica de la Rehabilitacion de Viviendas en Andalucia or Ecological Footprint of the Renovation of Dwellings in Andalusia) model is proposed on data obtained from the project’s bill of quantities, its ecological footprint is assessed, and the economic-environmental feasibility of different proposals are evaluated simultaneously. The resulting model is integrated into a geographic information system, which allows georeferenced results. The tool can be used for sustainable and resilient planning policy-making at all government levels, and for the decision-making processes. In this paper, economic and environmental indicators are, for the first time, simultaneously assessed through statistical normalization obtained from 50 cases analyzed in the city of Seville. Furthermore, five case studies are assessed in detail in order to determine the sensitivity of the model. These renovations represent less than 30% of the cost and 6% of the ecological footprint of a new construction project. During the subsequent 25 years, the energy efficiency improvements could significantly reduce the CO2 emissions that are due to direct consumption.

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Toward the Ecological Footprint of the use and maintenance phase of buildings: Utility consumption and cleaning tasks

Cited by 40 publications

References 19 publications

Carbon Footprint Estimation Tool for Residential Buildings for Non-Specialized Users: OERCO2 Project

Carbon Footprint Estimation Tool for Residential Buildings for Non-Specialized Users: OERCO2 Project

An Integrated Indicator System and Evaluation Model for Regional Sustainable Development

HEREVEA Tool for Economic and Environmental Impact Evaluation for Sustainable Planning Policy in Housing Renovation

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