Energy consumption of residential buildings and occupancy profiles. A case study in Mediterranean climatic conditions

Mora, Dafni; Carpino, Cristina; Simone, Marilena De

doi:10.1007/s12053-017-9553-0

Cited by 29 publications

(19 citation statements)

References 36 publications

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“…Most respondents in the follow-up interviews could be classified as "continuous adapters", based on their self-reported interaction frequency with the different interfaces. While the sample of respondents in this study is too small to draw any conclusions about the different user profiles, this characterisation of user typologies may be a useful indicator of the flexibility which DHN operators must build into their efforts to forecast heating demand [20] and estimate their building's energy performance [69]. For example, the high prevalence of users fitting the "continuous adapter" profile indicates that most respondents may tweak their schedules and set-points frequently.…”

Section: Use Of Heating Schedulesmentioning

confidence: 98%

“…An interesting aspect of heating behaviour analysis is the identification of heating user typologies, as previously presented in e.g. [47], [68] and used in a number of building simulation programs [69]. By assessing the change in heating behaviour across multiple behaviours and interfaces, we also find suggestions of distinct heating user typologies within our respondent sample: the "set-and-forget", who had never changed their schedule and only made occasional ad-hoc tweaks; the "continuous adapters", who regularly tweaked their schedule (which "never felt quite right") and made ad-hoc changes; or the "simple living", who did not bother to adjust, or even set, their heating schedule, but regularly used the most intuitive interface (the smartphone app) to control their heating.…”

Section: Use Of Heating Schedulesmentioning

confidence: 99%

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Going smart, staying confused: Perceptions and use of smart thermostats in British homes

Miu

Mazur

Dam

et al. 2019

Energy Research & Social Science

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Section: Use Of Heating Schedulesmentioning

confidence: 98%

Section: Use Of Heating Schedulesmentioning

confidence: 99%

Going smart, staying confused: Perceptions and use of smart thermostats in British homes

Miu

Mazur

Dam

et al. 2019

Energy Research & Social Science

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“…The DNAS theory provides a framework for describing occupant behaviors. Some researchers [70] have used it to decompose the energy consumption behaviors of residential buildings and extract the influencing factors from the aspects of drivers, needs, actions and systems. Most of the research on the DNAS theory is still in the program code of building simulation software [71,72].…”

Section: The Dnas Theorymentioning

confidence: 99%

The Interaction Effect of Occupant Behavior-Related Factors in Office Buildings Based on the DNAS Theory

Yang

Liu

2021

Sustainability

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Occupant behavior is acknowledged as a main contribution to building energy consumption. Many efforts have been devoted to identifying the impact of occupant behaviors on building energy consumption. However, the lack of understanding of the interaction effects among occupant behavior-related factors, to some extent, can lead to inaccurate results. To decode these complex interactions, this study was conducted to investigate the interaction effects of occupant behavior-related factors. A survey based on the Drive-Need-Action-System (DNAS) theory was used to describe the occupant behaviors. Then, based on the survey, a simulation model of an office building was applied for estimating the energy consumption led by different occupant behaviors. Finally, an orthogonal design of experiments (DOE) method combined with Pareto analysis was used to quantify the interactions of occupant behavior-related factors on energy consumption. Results show that factor combinations with strong interaction effects include: (1) lighting control and lighting fixture type and (2) computer control and tolerance of temperature range. The results provide important reference for building designers and facility managers toward a better understanding of the influences of occupant behaviors on building energy consumption.

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“…Different physical and behavioral characteristics regarding buildings (type, year of construction, floor area), weather, appliances and lighting, heating system, Domestic Hot Water (DHW) systems, households (age and number of household members, gender) have a relationship in driving residential electricity demand (Guerra-Santin et al, 2010;Mora, Carpino, & De Simone, 2017;Mora, Carpino, & Simone, 2015). In this matter, a recent study performed a robust sensitivity analysis to identify the most influential input variables by using a low-income house in Brazil and EnergyPlus-based simulations.…”

Section: Literature Search Strategymentioning

confidence: 99%

Mejoras al desempeño energético en edificaciones abordando los desafíos actuales del demand-side: Una revisión de contribuciones de Latinoamérica

2020

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Debido a la actual crisis energética mundial y como resultado de los acuerdos de las naciones participantes, se han establecido medidas por las Naciones Unidas para superar los desafíos relacionados. A pesar de los esfuerzos para incluir a los países subdesarrollados en dicho proceso de decisión, la mayoría de las contribuciones continúan estando inclinadas al hemisferio norte. Así, este trabajo se enfoca en destacar los esfuerzos realizados por los países Latinoamericanos (LA), entre 2018-2020, para contribuir específicamente en las mejoras en el desempeño energético en edificaciones para abordar los desafíos actuales del lado de la demanda. Dichos desafíos están relacionados con la gestión de la demanda: (i) picos de demanda no controlados y (ii) capacidad de transmisión y distribución insuficiente en la red eléctrica. Las contribuciones de LA se clasifican en independientes, colaboración y aplicación. Los estudios también se clasificaron en teóricos, experimentales, ambos y revisiones. La metodología de filtrado de dos etapas implementada dio como resultado un total de 176 documentos como lista inicial. Al centrarse sólo en los aspectos relacionados con los ocupantes, las soluciones pasivas y de bajo consumo y las técnicas de previsión para edificios inteligentes, la lista procesada dio como resultado un total de 73 estudios. Los resultados mostraron que los esfuerzos realizados por los países LA residen en su mayoría en la implementación de estrategias previamente desarrolladas y propuestas por países desarrollados, para realizar estudios de caso como independiente o en colaboración. Finalmente, se presenta un análisis FODA para analizar más los resultados.

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Energy consumption of residential buildings and occupancy profiles. A case study in Mediterranean climatic conditions

Cited by 29 publications

References 36 publications

Going smart, staying confused: Perceptions and use of smart thermostats in British homes

Going smart, staying confused: Perceptions and use of smart thermostats in British homes

The Interaction Effect of Occupant Behavior-Related Factors in Office Buildings Based on the DNAS Theory

Mejoras al desempeño energético en edificaciones abordando los desafíos actuales del demand-side: Una revisión de contribuciones de Latinoamérica

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