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IEA EBC annex 53: Total energy use in buildings—Analysis and evaluation methods

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TLDR
In this article, the authors employed an interdisciplinary approach, integrating building science, architectural engineering, computer modeling and simulation, and social and behavioral science to develop and apply methods to analyze and evaluate the real energy use in buildings considering the six influencing factors.
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This article is published in Energy and Buildings.The article was published on 2017-10-01 and is currently open access. It has received 271 citations till now. The article focuses on the topics: Building science & Building design.

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Energy efficiency, demand side management and energy storage technologies – A critical analysis of possible paths of integration in the built environment

TL;DR: The cross-sectorial role of models in the energy sector is investigated, because the use of common principles and techniques could stimulate a rapid development of multi-disciplinary research, aimed at sustainable energy transitions.
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Review of 10 years research on building energy performance gap: Life-cycle and stakeholder perspectives

TL;DR: A thorough survey and review of building energy performance gap research was carried out and an in-depth analysis of BEPG research was conducted to explore its causes and corresponding strategies (including design concept, “hard” technologies and “soft” measures).
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Building simulation: Ten challenges

TL;DR: Ten challenges that highlight some of the most important issues in building performance simulation, covering the full building life cycle and a wide range of modeling scales are presented.
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Occupant behavior models: A critical review of implementation and representation approaches in building performance simulation programs

TL;DR: This study reviews approaches to representing and implementing OB models in today’s popular BPS programs, and discusses weaknesses and strengths of these approaches and key issues in integrating of OB models with B PS programs.
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A review of occupant behaviour in residential buildings

TL;DR: This paper addresses occupant behaviour in residential buildings, providing a review of current methods in monitoring occupant behaviour, developing occupant behaviour models, and applying occupants behaviour models in building performance simulations.
References
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Journal ArticleDOI

Occupant behavior modeling for building performance simulation: Current state and future challenges:

TL;DR: In this paper, the state-of-the-art research, current obstacles and future needs and directions for the following four-step iterative process: (1) occupant monitoring and data collection, (2) model development, (3) model evaluation, and (4) model implementation into building simulation tools.
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Advances in research and applications of energy-related occupant behavior in buildings ☆

TL;DR: In this paper, the authors introduced the most recent advances and current obstacles in modeling occupant behavior and quantifying its impact on building energy use, including advancements in data collection techniques, analytical and modeling methods, and simulation applications which provide insights into behavior energy savings potential and impact.
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Ten questions concerning occupant behavior in buildings: The big picture

TL;DR: The use of simplified methods or tools to quantify the impacts of occupant behavior in building performance simulations significantly contributes to performance gaps between simulated models and actual building energy consumption as mentioned in this paper, and therefore, it is crucial to understand occupant behaviour in a comprehensive way, integrating qualitative approaches and data-and model-driven quantitative approaches.
Journal ArticleDOI

Do LEED-certified buildings save energy? Not really…

TL;DR: In this paper, a re-analysis of energy-consumption data for LEED-certified commercial buildings supplied by the New Buildings Institute (NBI) and US Green Building Council is presented.
Journal ArticleDOI

Reference buildings for cost optimal analysis: Method of definition and application

TL;DR: In this paper, a case study of an office building as a reference building for the Italian existing building stock is presented and the process concerning the building definition and modeling was carried out by means of dynamic energy simulation program EnergyPlus.
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Frequently Asked Questions (14)
Q1. What are the contributions mentioned in the paper "Iea ebc annex 53: total energy use in buildings – analysis and evaluation methods" ?

In this paper, the authors investigated how occupant behavior influences building energy consumption in order to bring occupant behavior into the building energy field so as to develop building energy research, practice, policy, etc. more closely aligned with the real world. 

Improving energy efficiency in buildings to reduce energy use and green-house-gas emissions is a proven key strategy to mitigate global climate change. 

More than 60% of artificial lighting is on during working hours in the four large-scaled case study office buildings, regardless of the outdoor lighting conditions. 

There are two purposes for modeling occupant behavior: (1) to understand driving forces for the behavior itself, and (2) to reveal the relationship between energy demand and usage, as well as the driving forces for variations. 

The various classes can be distinguished into biological, psychological, and social contexts, time, building/installation properties, and physical environment. 

Basic information for twelve residential case buildings including category, number of floors, floor area, construction year, and data level were described. 

Aiming to advance the knowledge in the field and develop and apply methods to analyze and evaluate total energy use in buildings and its driving factors, a group of about 100 researchers from 15 countries gathered together and worked from January 2009 to March 2013 on the Annex 53 project, under International Energy Agency’s (IEA) Energy in Buildings and Communities (EBC) Programme. 

An analysis was carried out to identify the level of detail required for the occupant behavior modeling as a function of the following building life cycle phases: design, commissioning, and operation. 

As a summary, modeling of user behavior in buildings may be tackled by the following approaches: (1) Theory of the planned behavior, (2) MODE model of attitude-behavior process, (3) Modified norm-activation model, and (4) Knowledge-desire-ability-action model. 

Although building technologies have advanced significantly in last decades, one of the most significant barriers to substantially improving the energy efficiency of buildings is the lack of knowledge about the factors determining the energy use. 

Social aspects cover a huge field of parameters such as local habits on building use, energy price, dominating energy source in the certain area, the energy-related attitude of occupants, and political conditions. 

The different reasons for modeling occupant behavior with respect to total energyuse in buildings are design (conceptual, preliminary, and final), commissioning (initial and ongoing), and operation (control). 

The presentation of results is very much dependent upon the user being addressed: - The designer (architect, HVAC engineer, installer, etc.) who tries to optimize thesolution he or she is developing. 

Basic information for twelve office case study buildings including category, data level, location, gross floor area, number of floors, construction years, air conditioning system, cooling and heating sources were outlined. 

Trending Questions (1)
Barriers to assess the real energy performance of buildings?

The paper states that one of the barriers to achieving deep building energy efficiency is a lack of knowledge about the factors determining energy use.