@article {30484, title = {Human-building interaction at work: Findings from an interdisciplinary cross-country survey in Italy}, journal = {Building and Environment}, volume = {132}, year = {2018}, abstract = {

This study presents results from an interdisciplinary survey assessing contextual and behavioral factors driving occupants{\textquoteright} interaction with building and systems in offices located across three different Mediterranean climates in Turin (Northern), Perugia (Central), and Rende (Southern) Italy. The survey instrument is grounded in an interdisciplinary framework that bridges the gap between building physics and social science environments on the energy- and comfort-related human-building interaction in the workspace. Outcomes of the survey questionnaire provide insights into four key learning objectives: (1) individual occupant{\textquoteright}s motivational drivers regarding interaction with shared building environmental controls (such as adjustable thermostats, operable windows, blinds and shades, and artificial lighting), (2) group dynamics such as perceived social norms, attitudes, and intention to share controls, (3) occupant perception of the ease of use and knowledge of how to operate control systems, and (4) occupant-perceived comfort, satisfaction, and productivity. This study attempts to identify climatic, cultural, and socio-demographic influencing factors, as well as to establish the validity of the survey instrument and robustness of outcomes for future studies. Also, the paper aims at illustrating why and how social science insights can bring innovative knowledge into the adoption of building technologies in shared contexts, thus enhancing perceived environmental satisfaction and effectiveness of personal indoor climate control in office settings and impacting office workers{\textquoteright} productivity and reduced operational energy costs.

}, keywords = {Human-building interaction, indoor environmental comfort, interdisciplinary framework, occupant behavior, office buildings, questionnaire survey}, doi = {10.1016/j.buildenv.2018.01.039}, author = {Simona D{\textquoteright}Oca and Anna Laura Pisello and Marilena De Simone and Verena M. Barthelmes and Tianzhen Hong and Stefano P. Corgnati} } @article {29898, title = {The Human Dimensions of Energy Use in Buildings: A Review}, year = {2017}, abstract = {

The "human dimensions" of energy use in buildings refer to the energy-related behaviors of key stakeholders that affect energy use over the building life cycle. Stakeholders include building designers, operators, managers, engineers, occupants, industry, vendors, and policymakers, who directly or indirectly influence the acts of designing, constructing, living, operating, managing, and regulating the built environments, from individual building up to the urban scale. Among factors driving high-performance buildings, human dimensions play a role that is as significant as that of technological advances. However, this factor is not well understood, and, as a result, human dimensions are often ignored or simplified by stakeholders. This paper presents a review of the literature on human dimensions of building energy use to assess the state-of-the-art in this topic area. The paper highlights research needs for fully integrating human dimensions into the building design and operation processes with the goal of reducing energy use in buildings while enhancing occupant comfort and productivity. This research focuses on identifying key needs for each stakeholder involved in a building{\textquoteright}s lifecycle and takes an interdisciplinary focus that spans the fields of architecture and engineering design, sociology, data science, energy policy, codes, and standards to provide targeted insights. Greater understanding of the human dimensions of energy use has several potential benefits including reductions in operating cost for building owners;enhanced comfort conditions and productivity for building occupants;more effective building energy management and automation systems for building operators and energy managers; and the integration of more accurate control logic into the next generation of human-in-the-loop technologies. The review concludes by summarizing recommendations for policy makers and industry stakeholders for developing codes, standards, and technologies that can leverage the human dimensions of energy use to reliably predict and achieve energy use reductions in the residential and commercial buildings sectors.

}, author = {Simona D{\textquoteright}Oca and Tianzhen Hong and Jared Langevin} } @proceedings {219, title = {High performance computing for indoor air}, year = {2009}, pages = {244-249}, address = {Glasgow, U.K.}, author = {Wangda Zuo and Qingyan Chen} } @proceedings {2789, title = {Halfway to Zero Energy in a Large Office Building}, year = {2006}, month = {08/2006}, address = {Pacific Grove, CA, USA}, author = {Mark Hanson and Steven Carlson and Dan Sammartano and Thomas Taylor} } @conference {231, title = {A hygrothermal building model based on the object-oriented modeling language Modelica}, booktitle = {Ninth International IBPSA Conference}, year = {2005}, month = {2005}, address = {Montreal, Canada}, isbn = {2-553-01152-0}, author = {Christoph Nytsch-Geusen and Thierry Stephane Nouidui and Andreas Holm and Wolfram Haupt} } @article {278, title = {Heat transfer and natural ventilation from single-sided heated solar chimney for buildings}, journal = {Journal of Asian Architecture and Building Engineering}, volume = {3}, year = {2004}, author = {Angui Li and Phillip Jones and Pingge Zhao and Liping Wang} } @proceedings {297, title = {HVAC Component Data Modeling Using Industry Foundation Classes}, year = {2002}, month = {12/2002}, address = {Li{\`e}ge, Belgium}, abstract = {

The Industry Foundation Classes (IFC) object data model of buildings is being developed by the International Alliance for Interoperability (IAI). The aim is to support data sharing and exchange in the building and construction industry across the life-cycle of a building.

This paper describes a number of aspects of a major extension of the HVAC part of the IFC data model. First is the introduction of a more generic approach for handling HVAC components. This includes type information, which corresponds to catalog data, occurrence information, which defines item-specific attributes such as location and connectivity, and performance history information, which documents the actual performance of the component instance over time. Other IFC model enhancements include an extension of the connectivity model used to specify how components forming a system can be traversed and the introduction of time-based data streams.

This paper includes examples of models of particular types of HVAC components, such as boilers and actuators, with all attributes included in the definitions. The paper concludes by describing the on-going process of model testing, implementation and integration into the complete IFC model and how the model can be used by software developers to support interoperability between HVAC-oriented design and analysis tools.

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