Investigation on window opening and closing behavior in schools through measurements and surveys: A case study in Budapest

In this study, a multidisciplinary approach has been adopted to observe and investigate window opening and closing behavior in two classrooms of a Hungarian school. Surveys and measurements have been used to identify environmental, contextual or habitual drivers of window use. For this purpose, 8-months long time-series datasets and qualitative teacher interviews were the tools used to investigate behavior. The two classrooms have identical boundary conditions; however, drivers for window adjustments were observed to be different. In one case, window use is primarily triggered by habits and time-dependent actions, whereas, in the second one, environmental parameters are the key drivers. In the latter case, stochastic behavioral models have been developed aiming at a future implementation in energy simulations. In the literature, few studies focused on analyzing these phenomena, resorting to interdisciplinary methods to reach a comprehensive understanding of occupants' behavior. Moreover, assessing behavior can lead to an optimization of the indoor environment, which is of primary importance in school buildings both in terms of energy use and pupils' health

Occupants in building design decision-making

Building occupants affect building performance in many ways, depending on how the building design responds to what occupants need, the amount of control that building designers have afforded them, and how well the design team has anticipated the way they will want to interact with the building and its systems in the future. This chapter discusses the challenge of integrating considerations related to building occupancy and occupant behavior into the decision-making process of building designers. It outlines the role of information management in coordinating information needed by designers at different design stages and contexts, and the range of occupancy-related factors to be considered in design practice, to facilitate performance and risk assessment in relation to legislation, regulations, and the interests of the client. This practice-based context forms the background for a discussion on how information and decisions about occupants could flow throughout the design process in a coherent and coordinated way. It concludes by proposing a knowledge management template for recording and supporting information transfer regarding occupancy throughout the design decision-making process, which can fit within and support current industry tools such as building information modeling and building performance simulation

An international review of occupant-related aspects of building energy codes and standards

In light of recent research, it is evident that occupants are playing an increasingly important role in building energy performance. Despite the important role of building energy codes and standards in design, the occupant-related aspects are typically simple and have not kept up with the leading research. This paper reviews 23 regions’ building energy codes and standards by first comparing their quantitative aspects and then analyzing their mandated rules and approaches. While the present paper focuses on offices, general recommendations are applicable to other building types as well. The review revealed a wide range of occupant-related values, approaches, and attitudes. For example, code-specified occupant density varies by nearly a factor of three between different codes. This underlines the need for development of advancement in occupant behavior modeling approaches for future occupant-centric building performance codes and standards. Moreover, occupants are often referred to only implicitly; underlying expectations about energy-saving occupant behavior from building occupants varies greatly; and, only a few codes address occupant feedback and system usability. Based on the findings of the review, a set of initial recommendations for future building energy codes is proposed

Smart building management vs. intuitive human control—Lessons learnt from an office building in Hungary

Smart building management and control are adopted nowadays to achieve zero-net energy use in buildings. However, without considering the human dimension, technologies alone do not necessarily guarantee high performance in buildings. An office building was designed and built according to state-of-the-art design and energy management principles in 2008. Despite the expectations of high performance, the owner was facing high utility bills and low user comfort in the building located in Budapest, Hungary. The objective of the project was to evaluate the energy performance and comfort indices of the building, to identify the causes of malfunction and to elaborate a comprehensive energy concept. Firstly, current building conditions and operation parameters were evaluated. Our investigation found that the state-of-the-art building management system was in good conditions but it was operated by building operators and occupants who are not aware of the building management practice. The energy consumption patterns of the building were simulated with energy modelling software. The baseline model was calibrated to annual measured energy consumption, using actual occupant behaviour and presence, based on results of self-reported surveys, occupancy sensors and fan-coil usage data. Realistic occupant behaviour models can capture diversity of occupant behaviour and better represent the real energy use of the building. This way our findings and the effect of our proposed improvements could be more reliable. As part of our final comprehensive energy concept, we proposed intervention measures that would increase indoor thermal comfort and decrease energy consumption of the building. A parametric study was carried out to evaluate and quantify energy, comfort and return on investment of each measure. It was found that in the best case the building could save 23% of annual energy use. Future work includes the follow-up of: occupant reactions to intervention measures, the realized energy savings, the measurement of occupant satisfaction and behavioural changes

A library of building occupant behaviour models represented in a standardised schema

Over the past four decades, a substantial body of literature has explored the impacts of occupant behaviour (OB) on building technologies, operation, and energy consumption. A large number of data-driven behavioural models have been developed based on field data. These models lack standardisation and consistency, leading to difficulties in applications and comparison. To address this problem, an ontology was developed using the drivers-needs-actions-systems (DNAS) framework. Recent work has been carried out to implement the theoretical DNAS framework into an eXtensible Markup Language (XML) schema, titled ‘occupant behaviour XML’ (obXML) which is a practical implementation of OB models that can be integrated into building performance simulation (BPS) programs. This paper presents a newly developed library of OB models represented in the standardised obXML schema format. This library provides ready-to-use examples for BPS users to employ more accurate occupant representation in their energy models. The library, which contains an initial effort of 52 OB models, was made publicly available for the BPS community. As part of the library development process, limitations of the obXML schema were identified and addressed, and future improvements were proposed. Authors hope that by compiling this library building, energy modellers from all over the world can enhance their BPS models by integrating more accurate and robust OB patterns