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-energy00514nas 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.pdf