Now showing 1 - 10 of 55
  • Publication
    Scenario modelling: A holistic environmental and energy management method for building operation optimisation
    Building managers have specific duties and certain outputs that are required of them. Without the necessary data, information, tools, and time, they are unable to adequately meet their organisational goals. Scenario modelling enables explicit and unambiguous coupling of building functions with other pivotal aspects of building operation in a method that specifically considers the education and technical expertise of building managers. This new method captures, transforms, and communicates the complex interdependencies of environmental and energy management in buildings through an easily navigable, holistic, and reproducible checking mechanism that compares actual performance with predicted performance and completes the “plan-do-check-act” cycle for building managers. Most important, the structured nature of this method caters to the diverse profile of building managers, making it applicable for widespread deployment. This paper demonstrates the benefit of using the new method by examining its application to a performance analysis of two existing buildings.
    Scopus© Citations 20  1152
  • Publication
    A statistically-based fault detection approach for environmental and energy management in buildings
    Commercial buildings during operation are dynamic environments where changes to control strategies and space usage regularly occur. As a result of these and other issues, a performance gap between design intent and actual building performance emerges. This paper seeks to address the operational performance gap and enhance operational building performance through statistically-based fault detection. Additionally, this paper seeks to remedy the knowledge gap building managers face in the identification of key building faults based on minimal quantities and streams of time-series building data. A new methodology is presented that incorporates simulation and breakout detection to address these issues. Residual based exponentially weighted moving average (EWMA) charts and Shewhart charts are compared against a breakout detection algorithm to identify shifts or faults in building performance data. Artificial faults are introduced into the measured time-series data to test the validity of the chosen statistical techniques. Statistical metric sensitivity and precision are calculated to quantify the performance of the new methodology. A summary of results demonstrate that the breakout detection algorithm was the most effective method in detecting meaningful faults in building performance data, followed by residual based EWMA and Shewhart models.
      719Scopus© Citations 20
  • Publication
    BIM - Geometry modelling guidelines for building energy performance simulation
    (International Building Performance Simulation Association (IBPSA), 2013-11-04) ; ; ;
    Building Information Models (BIM) are increasingly used as a central data repository from which designers transfer data from 3D CAD applications to building performance simulation (BPS) tools. For a widespread use of BIMs for this purpose, these models need to comply with a certain data quality standard. Based on a thermal viewpoint and underlying physical principles the authors develop data requirements for these models. These requirements are used to evaluate current data standards and to develop guidelines for the creation of these models. This paper will also describe several case studies and problems found in models that did not comply with those guidelines. Finally, the authors describe current limitations of tools and processes and propose future developments.
  • Publication
    Building Manager Requirement Specifications for Efficient Building Operation
    Building management plays a significant role in an organisation aiming to achieve an energy efficient status. In this context, there is growing pressure on building managers to provide not only high-quality building services, but to run and manage buildings as economically and efficiently as possible. As such, management activities require a comprehensive data management system to capture, retrieve and put to optimal use, information related to building performance. In this scenario, Building Information Modelling (BIM) can play the role of data repository and provide easy access to information pertaining to precise equipment locations, equipment affected by a system failure, maintenance history information, etc. Therefore, this paper uses building manager’s business processes and associated information identified throughout the paper to propose a BIM-based building management framework that enables accumulation and management of energy life-cycle data based on Industry Foundations Classes (IFC).
  • Publication
    Bridging the environmental and energy performance gap in buildings through simulation, measurement and data analysis
    Buildings during operation are dynamic environments where changes to control strategies and space usage regularly occur. As a result of these and other issues a performance gap between design intent and actual building performance emerges. This paper seeks to address the operational performance gap and optimise building performance by identifying inconsistencies in building operation. This is achieved through the combined use of a calibrated simulation model output data and the implementation of a breakout detection algorithm based on measured time-series building data. A number of alternative breakout detection algorithms are reviewed in comparison to the chosen technique in this paper. This paper outlines a statistically robust methodology to identify breakouts for measured time-series building performance data. Time-series data from the sports centre within University College Dublin (UCD) swimming pool hall were analysed. Unintended shifts in swimming pool return humidity levels above an acceptable level of 70% were identified by the breakout detection algorithm. A calibrated simulation model is referred to and the building system or zone set-point is reset to the recommended optimal value. The engineering value of this process is that it can be run in real time, as time-series data is produced, to accurately identify shifts in performance for building managers and reduce the performance gap.
  • Publication
    Requirements specification to support BIM-based Thermal Comfort analysis
    Traditionally and during a building's operation, thermal comfort levels are often evaluated using equipment that is expensive to purchase and maintain. Through advanced technologies, Building Information Model (BIM) and energy simulation tools, thermal comfort and its impacts can be evaluated at the conceptual and early design stages. The development of Building Energy Performance Simulation (BEPS) tools, through the implementation of BIM, will provide design teams with rich, comprehensive data to evaluate indoor thermal conditions in order to provide acceptable comfort levels. Current energy simulation models focus on entering data manually, increasing time and cost. BIM-based energy and thermal comfort analysis provides designers with the means to explore a variety of design alternatives, as well as avoiding the time-consuming process of re-entering all of the building's geometry and HVAC specifications to perform an analysis. However, integrating BEPS with BIM-based building design tools is still limited, with one of the key obstacles being the lack of standardised methods for information exchange between the two domains. To address the needs and bridge the gaps, this paper aims to improve the information exchange process by describing data and information needed to perform thermal comfort simulation using a standardised format in order to develop a Model View Definition (MVD) for thermal comfort. This approach represents the data needed by building designers or operators to provide an acceptable level of thermal comfort in a typical small, single occupant office. Through analysis of the performance of the proposed approach, this work provides a standardised exchange of data from BIM to BEPS tools, such as EnergyPlus, using the Industry Foundation Classes (IFC) standard.
  • Publication
    A Review on Country Specific Data Availability and Acquisition Techniques for City Quarter Information Modelling for Building Energy Analysis
    (Verlag der Technischen Universität Graz, 2020-09-25) ; ; ; ;
    This paper addresses the increasing number of disparate data resources used for urban modelling. The objective of this work is to provide a standardized approach for processing these resources for urban energy modelling studies. This paper details the approach of a collaborative project to standardize categorization, acquisition and processing of diverse datasets for energy modelling and simulations are explained. Furthermore, based on the data categorization, this research provides an overview of the country-specific data availability and sources (for Austria, Germany and Switzerland) required for urban energy simulations. The result is a standardized structure for information exchange which is published in an extendable online template.
  • Publication
    BuildingPI: A Future Tool for Building Life Cycle Analysis
    Traditionally building simulation tools are used at the design phase of the building project. These models are used to optimise various design alternatives, reduce energy consumption and cost. Building performance assessment for the operational phase of a buildings life cycle is sporadic, typically working from historical metered data and focusing on bulk energy assessment. Building Management Systems (BMS) do not explicitly incorporate feedback to the design phase or account for any changes, which have been made to building layout or fabric during construction. This paper discuses a proposal to develop an Industry Foundation Classes (IFC) compliant data visualisation tool Building Performance Indicator (BuildingPI) for performance metric and performance effectiveness ratio evaluation.
  • Publication
    Application Of Intelligent Algorithms For Residential Building Energy Performance Rating Prediction
    Energy Performance Certificates (EPC) provide an indication of buildings’ energy use. The creation of an EPC for individual building requires information surveys. Hence, these ratings are typically non-existent for entire building stock. This paper addresses these information gaps using machine-learning models. Developed models were evaluated with Irish EPC data that included approximately 650,000 residential buildings with 199 inputs variables. Results indicate that the deep learning algorithm produces results with highest accuracy level of 88% when only 82 input variables are available. This identified approach will allow stakeholders such as authorities, policy makers and urban-planners to determine the EPC rating for the rest of the building stock using limited data.
  • Publication
    Development of a Model View Definition for Environmental and Energy Performance Assessment
    Very often, building managers face the challenge of having to operate a building in the absence of the appropriate information about how it should function. This problem is one of the many reasons why buildings operate inefficiently and tend to consume excessive amounts of energy. Building Information Modelling (BIM) is an emerging technology which addresses the management of information throughout the Building Life-Cycle (BLC). Industry Foundation Classes (IFC) is a non-proprietary data model of BIM that enables effective data integration over the BLC. IFC is a rich data model which may represent the entire building, however most applications are interested in a subset of this model. Hence, it is necessary to filter the information exchange between different applications and Model View Definitions (MVD) is the methodology to define such subsets. This paper presents the development of a MVD for environmental and energy performance assessment to support building managers during operation.