The impact of occupants’ behaviours on building energy analysis: A research review

Delzendeh, Elham; Wu, Song; Lee, Angela; Zhou, Ying

doi:10.1016/j.rser.2017.05.264

Cited by 386 publications

(189 citation statements)

References 84 publications

Supporting

Mentioning

179

Contrasting

Unclassified

Order By: Relevance

“…The primary challenge in occupant behavior (OB) research lies in its complex and stochastic nature which is influenced by various internal, external, individual, and contextual factors. 37,40 Energy modelling software does not make allowance for the dynamic nature of OB resulting in discrepancies between the actual and predicted thermal comfort ranges. Hence, a shift from deterministic to probabilistic approach for OB models has been observed in the past few years.…”

Section: Occupant Behavior Modellingmentioning

confidence: 99%

Rethinking indoor thermal comfort in the era of rebound and pre‐bound effect for the developing world: A systematic review

2020

View full text Add to dashboard Cite

Indoor Air. 2020;30:377-395. | 377 wileyonlinelibrary.com/journal/ina | INTRODUC TI ONThermal comfort is defined as the condition of mind which expresses satisfaction within the thermal environment and is assessed by subjective evaluation. 1 Though this definition aptly stresses on judgment of comfort being a cognitive process, it does not describe precisely as to what is meant by the condition of mind or satisfaction. 2 Thermal comfort, in general, depends on six environmental and personal parameters-air temperature, mean radiant temperature, air velocity, relative humidity, clothing level, and metabolic rate. 3 The adaptive model further considers the effects of psychological, physiological, and behavioral aspects in determining comfort but only at an aggregated level. Moreover, aspects related to sociocultural practices, thermal history, context, and income are not comprehensively considered in the existing thermal comfort models. 4-6 This increases the complexities in evaluating thermal comfort and hence even after significant years of research in this domain, predicting conditions to ensure comfort remains imprecise.Thermal comfort studies are necessary because they have a significant impact on occupant's health, well-being, and productivity. [7][8][9] Long-term exposure of subjects to indoor environments, which are not acceptable, causes discomfort leading to negative health impacts. 8 At the same time, in the era of energy deficit and prudent energy consumption, the need to study thermal comfort becomes even more crucial as it dictates the energy use in buildings. 10,11 Additionally, increasing dispensable income, lowering cost of energy services and the desire for thermal delight among the occupants has led to changes in comfort preferences, behavior, and usage patterns. AbstractThis paper presents a review on thermal comfort research that is informed by changes in occupant behavior, lifestyle, and income leading to rebound or pre-bound effect. It explores the current state of research in thermal comfort domain through a systematic review to identify the gaps and opportunities specifically focusing on energyintensive developing countries. This review argues that adaptive thermal comfort is a continuously evolving domain owing to dynamic modifications in occupant behavior occurring from changes in the cost of energy services and preference of comfort (rebound/pre-bound effect). A conceptual framework linking thermal comfort, rebound/pre-bound effect, and occupant behavior is forwarded through the introduction of an exogenous factor related to occupant well-being. The results ascertain that there is a need of localized thermal comfort model with an occupant-centric approach that can help in enhancing comfort and reducing energy consumption. K E Y W O R D Sadaptation, behavior, India, occupant, rebound, thermal comfort

show abstract

Section: Occupant Behavior Modellingmentioning

confidence: 99%

Rethinking indoor thermal comfort in the era of rebound and pre‐bound effect for the developing world: A systematic review

2020

View full text Add to dashboard Cite

show abstract

“…The heterogeneity of user preferences in regard to building utilities is considerable in variety and necessitates a system that can adequately account for differences from one occupant to another. With this in mind, focus has shifted towards modeling occupant behavior to incorporate their preferences in building control and automation [3]. The behavior models can then be studied to introduce initiatives to encourage energy efficient behaviors among the occupants/energy users.…”

Section: Introductionmentioning

confidence: 99%

A Novel Graphical Lasso Based Approach Towards Segmentation Analysis in Energy Game-Theoretic Frameworks

Das

Konstantakopoulos

Manasawala

et al. 2019

2019 18th IEEE International Conference on Machine Learning and Applications (ICMLA)

View full text Add to dashboard Cite

Energy game-theoretic frameworks have emerged to be a successful strategy to encourage energy efficient behavior in large scale by leveraging human-in-the-loop strategy. A number of such frameworks have been introduced over the years which formulate the energy saving process as a competitive game with appropriate incentives for energy efficient players. However, prior works involve an incentive design mechanism which is dependent on knowledge of utility functions for all the players in the game, which is hard to compute especially when the number of players is high, common in energy game-theoretic frameworks. Our research proposes that the utilities of players in such a framework can be grouped together to a relatively small number of clusters, and the clusters can then be targeted with tailored incentives. The key to above segmentation analysis is to learn the features leading to human decision making towards energy usage in competitive environments. We propose a novel graphical lasso based approach to perform such segmentation, by studying the feature correlations in a real-world energy social game dataset. To further improve the explainability of the model, we perform causality study using grangers causality. Proposed segmentation analysis results in characteristic clusters demonstrating different energy usage behaviors. We also present avenues to implement intelligent incentive design using proposed segmentation method.

show abstract

“…Building sector accounts for about 40% of energy consumption and around 30% of greenhouse gas (GHG) emissions in the U.S. [1] and the EU statists reported similar numbers in Europe, China and India [2]. Therefore, building sector has been identified with significant potential for energy efficiency enhancement in recent studies.…”

Section: Introductionmentioning

confidence: 99%

“…have been identified and examined in previous studies [3,4]. Previous studies reported that occupants' factors such as occupancy level, window adjustment behaviors, energy system control have big effect on the energy performance and indoor comfort in buildings [1,2,[5][6][7][8][9]. In addition, regulations and policies based on occupants' factors proved their efficiency to optimize the building energy use [10].…”

Section: Introductionmentioning

confidence: 99%

“…Different approaches were applied to assess the relationship between the occupants' behaviors and energy use in buildings [1,[11][12][13][14]. However, due to the dynamic nature and complexity of the occupants' behaviors, up-to-date research outcomes have not fully filled the research gap to correlate the building occupants' behaviors, their indoor comfort and the energy consumption [2].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Occupant-Centered Building Energy Use Analysis: A Residential House Case Study

Zhao¹,

Houchati²,

Beitelman³

2017

Proceedings of the 48th International HVAC&R Congress

View full text Add to dashboard Cite

show abstract

The impact of occupants’ behaviours on building energy analysis: A research review

Cited by 386 publications

References 84 publications

Rethinking indoor thermal comfort in the era of rebound and pre‐bound effect for the developing world: A systematic review

Rethinking indoor thermal comfort in the era of rebound and pre‐bound effect for the developing world: A systematic review

A Novel Graphical Lasso Based Approach Towards Segmentation Analysis in Energy Game-Theoretic Frameworks

Occupant-Centered Building Energy Use Analysis: A Residential House Case Study

Contact Info

Product

Resources

About