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A. Ahmed, J. Ploennigs, Y. Gao & K. Menzel

Analyse building performance data for energy-efficient building operation

Abstract: Modern buildings will contain an increasing number of wireless sensors and meters to monitor the building performance. This data allows improved analysis of building performance to increase the energyefficiency along with user comfort. This paper presents two approaches to analyse building performance data. One solution uses data warehouse techniques to create sophisticated energy consumption aggregations. A second approach implements data mining techniques to estimate the thermal comfort of occupants with a reduced number of sensors. This paper interprets the knowledge gained using, as an example, University College Cork’s building of the Environmental Research Institute to demonstrate the feasibility of this approach.

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Series: w78:2009 (browse)
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D Browne, K Menzel

Method for Validation of Building Simulation Results using Sensor Data

Abstract: In general, current Building Energy Simulation Tools are used for pre-construction design and comparison of designs rather than a full exact varying representation of reality. To provide the best level of detail full CFD analysis for the entire building would be required. However this is currently by far outside the scope of current computing power for a building energy system. Because these simulation tools are designed for comparison of potential designs and because of the difficulty in predicting occupant behaviour, very often the predicted results do not correlate with the real actual performance when buildings are in operation. From project experience encountered in the EU FP7 IntUBE project, a deficit has been encountered whereby the correlation between simulation results and real measured data is not entirely accurate. This paper discusses a method of validation, which will provide a means of comparing measured data (e.g. sensors and weather data), and simulated data (e.g. near future simulations). This method for validation of building simulation results initially involves a comparison of data from building simulation and respective measured sensor readings. From this comparison, value is added from correction of simulation results, and/or input to simulation parameters. Further worth can also be provided by gaining knowledge for creation of simulation profiles which are difficult to predict before construction & operation. Additional value can also be derived from identifying conditions of poor results and relevant factors which can be corrected. Simulation data and actual data is available from a housing unit in Barcelona Spain and research building in Cork Ireland.The expected result to be derived from this method is to give an indication of quality of simulated data results and provide feedback. If the difference between simulated and real data is too large, steps to improve results will be suggested. In future it is envisioned that automated adjustments may performed to simulation inputs to correct results. Aside from near future simulation validation, the tool may be able to provide long term commissioning feedback to detect and alert users to long term degradation of systems and possible maintenance or repair remedies.

Keywords: Simulation, Data Modelling, Validation

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Series: w78:2011 (browse)
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E Tobin,H Yin, K Menzel

Analysis of Performance Data from HVAC Components for Prediction of Maintenance Requirements

Abstract: This paper describes a methodology which manages a building’s maintenance activities by focusing on the timing of maintenance activities. Its goal is to optimise the trade-off between cost, which is incurred through maintenance activities, and the components health, which varies as a result of maintenance frequency. Here existing data from a BMS is utilises and analysis is performed on this data, with the objective of scheduling maintenance for a component, based on the measured performance of that component. This paper will investigate which data analysis technique provides the most certainty when determining the expected performance level. The major outcome of this paper is to present the certainty levels for each data analysis technique and illustrate how the analysis can be used for predicting maintenance requirements. Also this paper will have presented a methodology for managing maintenance activities and an implementation of these results using a Decision Support Framework for maintenance management. This research is performed as part of a nationally funded project ‘Information Technology for Optimised Building Operation’ (ITOBO).

Keywords: Energy-efficient buildings, Maintenance Management, Performance Based Maintenance, Performance Data Analysis, ITOBO.

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Series: w78:2011 (browse)
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H. Yin, M. Otreba, L. Allan, K. Menzel

A Concept for IT-Supported Carbon Neutral Renovation

Abstract: Building renovation supports excellent opportunities to reduce energy consumption in buildings or reduce their CO2 emissions by making smart energy-saving choices to achieve carbon neutrality of buildings. The challenge is to achieve 'zero energy' and carbon neutral buildings by focusing not only on new designs but also primarily on old structures. However, to achieve effective carbon-neutral building renovation substantial financial investments are required. Therefore, it is important to provide a detailed decision support which informs the selection process which building elements should be considered in the renovation process. In this paper we present a simple energy simulation model used for the analysis of energy consumption and carbon dioxide emissions. The model was used to produce an energy consumption report to assist us in the initial phases of a renovation project to evaluate the impact of design alternatives on energy conservation, investment, running costs, reduced CO2 emissions and further environmental impacts.

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Full text: content.pdf (292,889 bytes) (available to registered users only)

Series: w78:2009 (browse)
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H.U. Gökçe, K.U. Gökçe, Donal Browne, Karsten Menzel

Dynamic System Architecture for Energy Efficient Building Operation: A Case Study of Kiptas Residential Building

Abstract: Buildings account for almost 40 percent of total energy in Europe. Holistic monitoring and analysis methodologies can reduce this by up to 30%. However, the adoption of monitoring and control systems for building management and control applications is hampered by the unavailability of appropriate tool environments. In this paper an integrated model-driven approach that automates the design from component to application level will be presented to provide optimized building operations. The aim is to create a holistic environment for wireless embedded monitoring and control systems to increase the efficiency of the overall system development process and to exploit their potential for reduction of building energy consumption. To reach this objective, new methods, tools and equipments were researched and integration methods covering integrated design, energy simulation models and data warehouse technologies were developed. The findings were applied to a residential building of Kiptas in Istanbul, Turkey and possible energy saving improvements were suggested.

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H.U. Gökçe, P. Stack, K.U. Gökçe, K. Menzel

Maintenance Scheduling based on the Analysis of Building Performance Data

Abstract: Many efforts are invested in the facility management (FM) of buildings. This can be a major contributor to the reduction of the overall energy consumption and the reduction of CO2 emissions. Sophisticated Building Services Systems are available, integrating conventional energy systems with renewable energy systems. However, the performance of installed systems is insufficiently monitored and analysed leading to a slow degradation of the system performance and finally to increased energy consumption and CO2 emissions. This paper introduces an Information Technology (IT) based solution to assist the maintenance process.

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H.U. Gökçe, Y. Wang, K.U. Gökçe, K. Menzel

A Data-Warehouse Architecture supporting Energy Management of Buildings

Abstract: Environmental legislative and economical drivers require more efficient and accurate energy management of buildings. Current building management systems do not have the capabilities of energy specific monitoring and management. Therefore, this paper addresses this deficit by introducing a holistic N-dimensional information management system. The proposed system consists of: a data warehouse core to store, integrate and analyse the complex data sets, an extraction, transformation, loading tool and context sensitive information representation components for decision support and monitoring. The proposed system is implemented in a test building at University College Cork, Ireland.

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K Eisenblätter & K Menzel

Implantation strategy of mobile technologies in construction

Abstract: Small and medium sized enterprises in the AEC sector most often are lacking human and financial resources to implement and test mobile technologies within their businesses. Consequently, SME do not benefit from the various advantages of integrating field personnel into the company's IT-infrastructure. To foster the adoption of mobile technologies by SME in the AEC sector we have developed an implantation strategy as part of the research project called IuK-System Bau. The strategy provides a structured and user-oriented guideline concerning the introduction of mobile devices, wireless networks and mobile services into the individual company's specializations. This paper describes the various steps we have taken to develop the implantation strategy. One special focus of the paper concentrates on the presentation and analysis of the field tests conducted within our research project to evaluate the prototypes developed, namely the Extended Construction Diary and the Mobile Errors and Omissions Management application. The outcome of the field test has significantly determined the development of our implantation strategy.

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Permission to reproduce these papers has been graciously provided by the Technische Universität Dresden.


K Mo, K Menzel, S Hoerster

Development of an IFC-compatible Data Warehouse for Building Performance Analysis

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Series: w78:2013 (browse)
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M Otreba, D Brennan,K Menzel

Knowledge Management for Integrated Energy Demand, Supply in Buildings ,Campus and District

Abstract: The aim of this research is to produce, from an energy management perspective, a detailed description of the University College Cork, (UCC), campus district heating network. Based on the detailed description of the Campus Network and gathered data, multiple simulations will be carried out to test behavior of three selected buildings with regard to the network’s and buildings’ performance. This paper introduce to the exercise of data collection of existing network. It also defines how to use simulation where some data is missing. Finally it proposes a general idea for knowledge management system that could compile all the information that is necessary to determine campus performance.

Keywords: District energy management, performance analysis, building stock, Building Information Modeling.

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Series: w78:2011 (browse)
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