01832nas a2200229 4500008004100000245007600041210006900117260001200186300001400198490000700212520112800219653001601347653001601363653001301379653001501392653002001407653003201427100001801459700001801477700002101495856008601516 2011 eng d00aCalibrating whole building energy models: An evidence-based methodology0 aCalibrating whole building energy models An evidencebased method c09/2011 a2356-23640 v433 a
This paper reviews existing case studies and methods for calibrating whole building energy models to measured data. This research describes a systematic, evidence-based methodology for the calibration of these models. Under this methodology, parameter values in the final calibrated model reference the source of information used to make changes to the initial model. Thus, the final model is based solely on evidence. Version control software stores a complete record of the calibration process, and the evidence on which the final model is based. Future users can review the changes made throughout the calibration process along with the supporting evidence. In addition to the evidence-based methodology, this paper also describes a new zoning process that represents the real building more closely than the typical core and four perimeter zone approach. Though the methodology is intended to apply to detailed calibration studies with high resolution measured data, the primary aspects of the methodology (evidence-based approach, version control, and zone-typing) are independent of the available measured data.
10acalibration10aMethodology10aretrofit10asimulation10aVersion control10aWhole building energy model1 aRaferty, Paul1 aKeane, Marcus1 aO'Donnell, James uhttps://simulationresearch.lbl.gov/publications/calibrating-whole-building-energy00559nas a2200157 4500008004100000245009200041210006900133260001200202300001400214490000700228100002100235700001800256700001800274700002100292856008800313 2011 eng d00aMulti-Criteria Optimisation using Past, Real Time and Predictive Performance Benchmarks0 aMultiCriteria Optimisation using Past Real Time and Predictive P c04/2011 a1258-12650 v191 aTorrens, Ignacio1 aKeane, Marcus1 aCosta, Andrea1 aO'Donnell, James uhttps://simulationresearch.lbl.gov/publications/multi-criteria-optimisation-using-000550nas a2200133 4500008004100000245011300041210006900154260003100223100001800254700001800272700002100290700001800311856008700329 2011 eng d00aSystematic Development of an Operational BIM Utilising Simulation and Performance Data in Building Operation0 aSystematic Development of an Operational BIM Utilising Simulatio aSydney, Australiac11/20111 aCorry, Edward1 aKeane, Marcus1 aO'Donnell, James1 aCosta, Andrea uhttps://simulationresearch.lbl.gov/publications/systematic-development-operational00396nas a2200133 4500008004100000245002700041210002700068100001800095700001800113700002100131700002000152700001500172856007500187 2010 eng d00aBuildWise Final Report0 aBuildWise Final Report1 aKeane, Marcus1 aCosta, Andrea1 aO'Donnell, James1 aMenzel, Karsten1 aDirk, Alan uhttps://simulationresearch.lbl.gov/publications/buildwise-final-report00514nas a2200133 4500008004100000245009100041210006900132260002000201100001800221700001800239700002100257700001800278856008400296 2010 eng d00aEnergy Monitoring Systems value, issues and recommendations based on five case studies0 aEnergy Monitoring Systems value issues and recommendations based aAntalya, Turkey1 aRaferty, Paul1 aKeane, Marcus1 aO'Donnell, James1 aCosta, Andrea uhttps://simulationresearch.lbl.gov/publications/energy-monitoring-systems-value01151nas a2200145 4500008004100000245008900041210006900130260002200199520065200221100001800873700001800891700001800909700002100927856005700948 2009 eng d00aKey Factors - Methodology for Enhancement and Support of Building Energy Performance0 aKey Factors Methodology for Enhancement and Support of Building aGlasgow, Scotland3 aThis paper presents the Key Factors methodology that supports energy managers in determining the optimal building operation strategy in relation to both energy consumption and thermal comfort. The methodology is supported by the utilisation of calibrated building energy simulation models that match measured data gathered by an extensive measurement framework. The paper outlines the proposed methodology defining the underpinning concepts and illustrating the performance metrics required to capture the effect of different building operation strategies. A brief case study is discussed to demonstrate the application of the methodology.
1 aCosta, Andrea1 aKeane, Marcus1 aRaferty, Paul1 aO'Donnell, James uhttp://zuse.ucc.ie/iruse/papersNew/AndreaGlasgow.pdf00500nas a2200121 4500008004100000245010400041210006900145100002100214700001800235700002100253700001800274856008600292 2009 eng d00aMulti-criteria optimisation using past, historical, real time and predictive performance benchmarks0 aMulticriteria optimisation using past historical real time and p1 aTorrens, Ignacio1 aKeane, Marcus1 aO'Donnell, James1 aCosta, Andrea uhttps://simulationresearch.lbl.gov/publications/multi-criteria-optimisation-using00577nas a2200157 4500008004100000245008700041210006900128260002100197100001500218700002300233700001700256700001800273700001800291700002100309856008900330 2009 eng d00aPervasive Knowledge-Based Networking for Maintenance Inspection in Smart Buildings0 aPervasive KnowledgeBased Networking for Maintenance Inspection i aBarcelona, Spain1 aMara, Paul1 aO'Sullivan, Declan1 aBrennan, Rob1 aKeane, Marcus1 aMcGlinn, Kris1 aO'Donnell, James uhttps://simulationresearch.lbl.gov/publications/pervasive-knowledge-based-networking00568nas a2200145 4500008004100000245009800041210006900139260002800208100001900236700002100255700002000276700001800296700001800314856009000332 2008 eng d00aIntegrating the Specification, Acquisition and Processing of Building Performance Information0 aIntegrating the Specification Acquisition and Processing of Buil aBeijing, Chinac10/20081 aKeller, Martin1 aO'Donnell, James1 aMenzel, Karsten1 aKeane, Marcus1 aGökçe, Ufuk uhttps://simulationresearch.lbl.gov/publications/integrating-specification-acquisition00539nas a2200121 4500008004100000245012700041210006900168260003100237100002100268700001800289700002300307856008700330 2008 eng d00aSpecification of an Information Delivery Tool to Support Optimal Holistic Environmental and Energy Management in Buildings0 aSpecification of an Information Delivery Tool to Support Optimal aBerkeley, CA, USAc07/20081 aO'Donnell, James1 aKeane, Marcus1 aBazjanac, Vladimir uhttps://simulationresearch.lbl.gov/publications/specification-information-delivery00514nas a2200121 4500008004100000245011700041210006900158260001700227100002100244700001800265700002300283856008600306 2008 eng d00aUtilisation of Whole Building Energy Simulation Output to Provide Optimum Decision Support for Building Managers0 aUtilisation of Whole Building Energy Simulation Output to Provid aBerkeley, CA1 aO'Donnell, James1 aKeane, Marcus1 aBazjanac, Vladimir uhttps://simulationresearch.lbl.gov/publications/utilisation-whole-building-energy02091nas a2200217 4500008004100000245011800041210006900159260001200228300001200240490000700252520134800259653003201607653003001639653001801669653001501687100002701702700001801729700002101747700002101768856008401789 2007 eng d00aUsing Indicators to Profile Energy Consumption and Inform Energy Policy in a University - A Case Study in Ireland0 aUsing Indicators to Profile Energy Consumption and Inform Energy c08/2007 a913-9220 v393 aThe services sector has the least amount of energy end use data available, which poses significant challenges to companies within the sector attempting to benchmark their energy performance and inform energy management decisions. This paper explores through a case study analysis the use of simple performance indicators and how additional data and new metrics can greatly enhance the understanding of energy trends and in particular the assessment of building energy performance. The country chosen for the analysis is Ireland, where the services sector has experienced high energy demand growth since 1990 (4.1% annually) compared with the EU-15 (1.5% annually). Despite this growth, the available energy data is poor, in particular for the public service sub-sectors. The case study chosen is an institution within the education sub-sector, University College Cork. The paper presents some simple energy performance indicators that have been used to date to inform energy policy. The paper then introduces new approaches and tools for assessing energy performance in buildings and how these may be utilised to improve the energy policy decision making and energy management. It discusses how these approaches are been implemented for buildings with separate functions, presents some initial results and discusses future planned work.
10abuilding energy performance10aEnergy in services sector10aenergy policy10aUniversity1 aGallachóir, Brian, Ó1 aKeane, Marcus1 aMorrissey, Elmer1 aO'Donnell, James uhttps://simulationresearch.lbl.gov/publications/using-indicators-profile-energy01529nas a2200145 4500008004100000245009200041210006900133260003100202520097800233100002101211700001801232700002101250700002301271856008901294 2005 eng d00aBuilding Effectiveness Communication Ratios for Improved Building Life Cycle Management0 aBuilding Effectiveness Communication Ratios for Improved Buildin aMontréal, Canadac08/20053 aMany existing building energy performance assessment frameworks, quantifying and categorising buildings post occupancy, offer limited feedback on design decisions. An environment providing decision makers with pertinent information to assess the consequences of each design decision in a timely, cost effective and practical manner is required to promote viable low-energy solutions from the outset. This paper outlines a performance-based strategy utilising building effectiveness communication ratios stored in Building Information Models (BIM). Decision makers will be capable of rating the building's energy performance throughout its natural life cycle without imposing adverse penalties on facilities located in dissimilar climatic zones subjected to stringent building codes and regulations. With this advancement in building energy assessment in place, a progressive improvement in energy efficiency for the building stock is a feasible and realistic target.
1 aMorrissey, Elmer1 aKeane, Marcus1 aO'Donnell, James1 aMcCarthy, John, F. uhttps://simulationresearch.lbl.gov/publications/building-effectiveness-communication00530nas a2200133 4500008004100000245008200041210006900123260003000192100002100222700002100243700001800264700002700282856008700309 2005 eng d00aReducing Building Operational Cost Through Environmental Effectiveness Ratios0 aReducing Building Operational Cost Through Environmental Effecti aMontreal, Canadac08/20051 aO'Donnell, James1 aMorrissey, Elmer1 aKeane, Marcus1 aGallachóir, Brian, Ó uhttps://simulationresearch.lbl.gov/publications/reducing-building-operational-cost00485nas a2200109 4500008004100000245010800041210006900149260003000218100002200248700001800270856008700288 2005 eng d00aSpecifiction of an IFC-Based Intelligent Graphical User Interface to Support Building Energy Simulation0 aSpecifiction of an IFCBased Intelligent Graphical User Interface aMontreal, Canadac08/20051 aO'Sullivan, Barry1 aKeane, Marcus uhttps://simulationresearch.lbl.gov/publications/specifiction-ifc-based-intelligent00508nas a2200133 4500008004100000245006300041210006200104260003600166100002100202700002100223700001800244700002300262856008900285 2004 eng d00aBuildingPI: A Future Tool for Building Life Cycle Analysis0 aBuildingPI A Future Tool for Building Life Cycle Analysis aBoulder, Colorado, USAc08/20041 aO'Donnell, James1 aMorrissey, Elmer1 aKeane, Marcus1 aBazjanac, Vladimir uhttps://simulationresearch.lbl.gov/publications/buildingpi-future-tool-building-life00587nas a2200133 4500008004100000245013700041210006900178260003600247100002100283700002100304700001800325700002300343856008700366 2004 eng d00aSpecification and Implementation of IFC Based Performance Metrics to Support Building Life Cycle Assessment of Hybrid Energy Systems0 aSpecification and Implementation of IFC Based Performance Metric aBoulder, Colorado, USAc08/20041 aMorrissey, Elmer1 aO'Donnell, James1 aKeane, Marcus1 aBazjanac, Vladimir uhttps://simulationresearch.lbl.gov/publications/specification-and-implementation-000605nas a2200145 4500008004100000050001700041245013700058210006900195260002500264100002100289700002100310700001800331700002300349856008700372 2004 eng d aLBNL/PUB-90600aSpecification and Implementation of IFC Based Performance Metrics to Support Building Life Cycle Assessment of Hybrid Energy Systems0 aSpecification and Implementation of IFC Based Performance Metric aBoulder, COc08/20041 aMorrissey, Elmer1 aO'Donnell, James1 aKeane, Marcus1 aBazjanac, Vladimir uhttps://simulationresearch.lbl.gov/publications/specification-and-implementation-100589nas a2200133 4500008004100000245013700041210006900178260003600247100002100283700002100304700001800325700002300343856008900366 2004 eng d00aSpecification and Implementation of IFC-Based Performance Metrics to Support Building Life Cycle Assessment of Hybrid Energy Systems0 aSpecification and Implementation of IFCBased Performance Metrics aBoulder, Colorado, USAc08/20041 aMorrissey, Elmer1 aO'Donnell, James1 aKeane, Marcus1 aBazjanac, Vladimir uhttps://simulationresearch.lbl.gov/publications/specification-and-implementation-ifc00567nas a2200133 4500008004100000245011600041210006900157260003600226100002100262700002100283700001800304700002300322856008800345 2004 eng d00aSpecification of IFC Based Performance Metrics to Support Building Life Cycle Analysis of Hybrid Energy Systems0 aSpecification of IFC Based Performance Metrics to Support Buildi aBoulder, Colorado, USAc08/20041 aMorrissey, Elmer1 aO'Donnell, James1 aKeane, Marcus1 aBazjanac, Vladimir uhttps://simulationresearch.lbl.gov/publications/specification-ifc-based-performance