Validation of a Bayesian-based method for defining residential archetypes in urban building energy models

Sokol, Julia; Davila, Carlos Cerezo; Reinhart, Christoph

doi:10.1016/j.enbuild.2016.10.050

Cited by 193 publications

(91 citation statements)

References 32 publications

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“…The approach of UBEM is to apply physical models of heat and mass flow in and around buildings to predict operational energy uses as well as indoor and outdoor environmental conditions for groups of buildings [4]. Bottom-up engineering UBEMs are more versatile than statistical models, and allow planners to quantitatively assess retrofit strategies and energy supply options [10]. Integrated with urban form generation such models can be used in an early stage of planning for energy-driven urban design [11].…”

Section: From Building-scale To Urban-scale Energy Modelsmentioning

confidence: 99%

A review on occupant behavior in urban building energy models

Happle

Fonseca

Schlueter

2018

Energy and Buildings

159

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Urban building energy models aspire to become key planning tools for the holistic optimization of buildings, urban design, and energy systems in neighborhoods and districts. The energy demand of buildings is largely influenced by the behavior of the occupants. The insufficient consideration of occupant behavior is one of the causes to the "performance gap" in buildings -the difference between the simulated and the actually observed energy consumption. On the urban-scale impacts of different occupant behavior modeling approaches onto the various purposes of urban building energy models are still largely unknown. Research shows that the inappropriate choice of occupant behavior model could result in oversized district energy systems, leading to over-investment and low operational efficiency. This work therefore reviews urban building energy models in terms of their occupant behavior modeling approaches. Three categories of approaches are established and discussed: (1) deterministic space-based approaches, (2) stochastic space-based approaches, and (3) stochastic person-based approaches. They are further assessed in terms of their strategy to consider diversity in occupant behavior. Stochastic models, especially stochastic person-based models, seem to be superior to deterministic models. However, there are no stochastic models available yet that can be used for case studies of mixed-districts, comprising buildings of various occupancy types. In the reviewed urban-scale approaches, only single-use residential or office districts are modeled with stochastic techniques. However, people interact with various buildings on a daily basis. Their activities relate to their presence in different spaces at the urban-scale and to their use of appliances in those spaces. Their individual levels of comfort and behavioral patterns govern the control actions towards building systems. Therefore, a novel activity-based multi-agent approach for urban occupant behavior modeling is proposed as alternative to current approaches.Keywords: urban building energy model, energy-related occupant behavior, occupancy, occupant behavior model IntroductionUrban areas house more than half of the global population and cities are responsible for more than 70% of the global carbon dioxide emissions. At the same time, cities are crucial actors in the transition towards sustainable energy Email address: happle@arch.ethz.ch (Gabriel Happle)

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Section: From Building-scale To Urban-scale Energy Modelsmentioning

confidence: 99%

A review on occupant behavior in urban building energy models

Happle

Fonseca

Schlueter

2018

Energy and Buildings

159

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“…As a large number of building unit should be involved, this process has been developed introducing building archetypes: reference buildings that represent a group with similar properties seeking to reduce the energy analysis to a smaller subset of buildings. This approach has been significantly applied to evaluate energy performance at urban and regional level [6,[36][37][38][39]. In addition, the concept of archetype could be easily applied to better characterise existing approaches on ecological urban indicators and metabolism [15,16,40].…”

Section: Building Archetypes For Energy Analysis and Modelling Of Houmentioning

confidence: 99%

Buildingmass and Energy Demand in Conventional Housing Typologies of the Mediterranean City

et al. 2019

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The causal relation among building typology and building energy demand is a complex balance of climate, morphology, technology and use. The assessment of the relation between mass of building elements and energy demand in different housing typologies is the main goal of this study. A novel indicator, namely the Buildingmass, is introduced and tested in the Mediterranean climate region. Explorations on nine conventional housing typologies in Barcelona and Rome are carried out. Buildingmass evaluation is based on the calculation of the mass of building elements. Energy demand is assessed by modelling on multi-space dynamic thermal analysis tool. Our results point out that the Buildingmass has a strong relevance on energy, playing an important role in reducing heating and cooling demand in the Mediterranean city, as described by the proposed correlation (R 2 = 0.88). Moreover, this indicator gives a more detailed characterisation of the housing stock of the Mediterranean city. The study aims at bridging the gap between urban physics and urban metabolism studies and fostering energy conservation measures for the built environment.

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“…The inputs that are commonly considered to classify an archetype are: function of the building, area, plant geometry, age, among others. They are characterized according to the factors that affect energy consumption, such as building envelope, ventilation, air conditioning, operating characteristics and internal loads (Sokol, Cerezo Davila, & Reinhart, 2017). It should be noted that having a greater amount of reliable information results in more trustworthy results (Swan & Ugursal, 2009).…”

Section: State Of the Artmentioning

confidence: 99%

Residential archetypes in urban energy simulation models in Chile: Determining factors of residential energy consumption

Aguilera

Ossio

2017

rdlc

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The national and international overview has shown that residential energy consumption is increasing. As a result, efforts have focused on reducing the initial demand for housing and its associated consumption. One of the most used tools for this purpose is bottom-up energy modelling, specifically on the archetypes branch. This method proposes that energy demand of a dwelling can estimated from the interaction of several parameters and factors. However, the method's main limitation, is the complexity of defining the variables and factors to be used. This article presents a review of specialized literature, concerned with, determining and characterizing residential archetypes. From this literature, It was possible to determine the most influential factors in energy consumption. The results showed 19 factors that were categorized into five groups; general, geometric, thermal, operational, and systems and equipment characteristics. The applicability of these factors to Chile was verified. This article, is intended a guide to generating representative archetypes and characterizing dwellings in an efficiente manner.Key words: energy efficiency, bottom-up modelling, archetypes, residential energy consumption, urban energy simulation. ResumenEl panorama nacional e internacional han demostrado que el consumo energético residencial está en alza. Por lo cual, los esfuerzos se han centrado en disminuir la demanda inicial de las viviendas y su consumo asociado. Para esto, una de las herramientas más utilizadas corresponde metodología bottom-up, específicamente del tipo arquetipos. Esta propone, que, a través de la interacción de diversos parámetros y factores, se puede obtener demanda energética de una vivienda, generando así arquetipos representativos del stock de viviendas simuladas, el cual se puede extrapolar a distintos niveles. Sin embargo, la principal limitante, corresponde a la complejidad de definir las variables y factores a utilizar. Este artículo presenta una revisión de literatura especializada, donde se compilaron las variables, más utilizadas en el consumo energético, para determinar y caracterizar arquetipos residenciales. Se obtuvieron 19 variables las que se categorizaron en cinco niveles; características generales, geométricas, térmicas y operacionales, y de equipamiento y sistemaas, a las que, se les verificó su aplicabilidad en Chile. A través de este artículo se pretende generar una guía que permita realizar una caracterización eficiente de las viviendas y su contextualización, de manera que los arquetipos que se puedan generar sean lo más representativos posibles.Palabras Claves: eficiencia energética, modelación bottom-up, arquetipos, consumo energético residencial, simulación energética urbana.

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Validation of a Bayesian-based method for defining residential archetypes in urban building energy models

Cited by 193 publications

References 32 publications

A review on occupant behavior in urban building energy models

A review on occupant behavior in urban building energy models

Buildingmass and Energy Demand in Conventional Housing Typologies of the Mediterranean City

Residential archetypes in urban energy simulation models in Chile: Determining factors of residential energy consumption

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