Simplified model to determine the energy demand of existing buildings. Case study of social housing in Zaragoza, Spain

Marta, Monzón; López-Mesa, Belinda

doi:10.1016/j.enbuild.2017.04.039

Cited by 25 publications

(23 citation statements)

References 14 publications

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“…The type of available data in most of the existing buildings is not the hourly energy consumption data from a sub-metering system but rather the total energy consumption data, which was provided on a monthly basis through utility bills. Therefore, we utilized the Change Point Model of the ASHRAE [26,43] to divide the monthly measured energy data into heating load, cooling load, and base load. And then, we estimated the envelope performance of case buildings according to the outdoor temperature.…”

Section: Methodsmentioning

confidence: 99%

“…Based on expert discussions and technical analyses, it is possible to manage an existing building to balance out its energy demand with energy from renewable technologies [23]. However, as data on existing buildings are difficult to collect, the energy performance assessment of those buildings is typically conducted with simplified input data or by acquiring such input data as default and reference table values from outside sources [24][25][26]. In addition, one recent approach describes modelling energy consumption in order to complement insufficient input data [6,27].…”

Section: Introductionmentioning

confidence: 99%

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Energy Performance Assessment According to Data Acquisition Levels of Existing Buildings

Kim

2019

Energies

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Existing buildings are likely to consume more energy and emit more greenhouse gases than new buildings because of inevitable deteriorations in physical performance. Accordingly, retrofitting of existing buildings is considered essential to reduce energy consumption and greenhouse gas emissions from the building sector. However, assessing the energy performance of existing buildings accurately has limitations because building materials undergo physical deterioration and the actual operational conditions differ from as-built documentation. There is also a difference in the level of data acquisition required for building energy performance assessment depending on the conditions of the building. The aim of this paper is to present types of methods for energy performance assessment of existing buildings considering this data acquisition level. We analyzed various assessment methods, which were classified into three prototypes of methods according to the required level of data acquisition. Type 1 assessed the target building based on literature sources. Type 2 conducted on-site audit and assessed the target building based on additional collected data. Type 3 assessed the target building by further estimating the building properties through analysis of the measured energy data. The applicability of the proposed methods were demonstrated using case studies of three buildings located in Seoul, South Korea.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Energy Performance Assessment According to Data Acquisition Levels of Existing Buildings

Kim

2019

Energies

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“…Con esta información y la demanda energética de refrigeración, se obtiene un segundo indicador de demanda global de climatización, que identifica los edificios que más demanda energética tienen a lo largo del año. La clasificación de los diferentes bloques se ha realizado obteniendo la demanda energética de calefacción y de refrigeración mediante un modelo simplificado para determinar la demanda energética de los edificios a partir de una serie de variables de fácil obtención (Monzón & López-Mesa, 2017a). Posteriormente se desarrolla otro indicador de calificación energética de los bloques, obtenida según las emisiones de CO2 y el consumo de energía primaria no renovable según la normativa de calificación energética del país, suponiendo un hipotético sistema de climatización eléctrico.…”

Section: Indicadores De Vulnerabilidad Físicaunclassified

Ciudad y formas urbanas : perspectivas transversales. Volumen 8. Formas urbanas y mapping

2018

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“…Simplified models with a dominant mathematical component can be classified into three groups: The search for the optimal refurbishment project based on optimization [53,60], those using a strong mathematical basis to replace the physical component in the estimation of the energy demand of buildings [65,66], and finally, those that increase the scale of the study to districts or even full cities [67][68][69]. This mathematical methodology requires a large amount of accurately measured consumption data since the models are tailor-made depending on the data.…”

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confidence: 99%

Systematic Simplified Simulation Methodology for Deep Energy Retrofitting Towards Nze Targets Using Life Cycle Energy Assessment

et al. 2019

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The reduction of energy consumption in the residential sector presents substantial potential through the implementation of energy efficiency improvement measures. Current trends involve the use of simulation tools which obtain the buildings’ energy performance to support the development of possible solutions to help reduce energy consumption. However, simulation tools demand considerable amounts of data regarding the buildings’ geometry, construction, and frequency of use. Additionally, the measured values tend to be different from the estimated values obtained with the use of energy simulation programs, an issue known as the ‘performance gap’. The proposed methodology provides a solution for both of the aforementioned problems, since the amount of data needed is considerably reduced and the results are calibrated using measured values. This new approach allows to find an optimal retrofitting project by life cycle energy assessment, in terms of cost and energy savings, for individual buildings as well as several blocks of buildings. Furthermore, the potential for implementation of the methodology is proven by obtaining a comprehensive energy rehabilitation plan for a residential building. The developed methodology provides highly accurate estimates of energy savings, directly linked to the buildings’ real energy needs, reducing the difference between the consumption measured and the predictions.

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Simplified model to determine the energy demand of existing buildings. Case study of social housing in Zaragoza, Spain

Cited by 25 publications

References 14 publications

Energy Performance Assessment According to Data Acquisition Levels of Existing Buildings

Energy Performance Assessment According to Data Acquisition Levels of Existing Buildings

Ciudad y formas urbanas : perspectivas transversales. Volumen 8. Formas urbanas y mapping

Systematic Simplified Simulation Methodology for Deep Energy Retrofitting Towards Nze Targets Using Life Cycle Energy Assessment

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