Measurement Science Roadmap for Net-Zero Energy Buildings

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Exhibit IV.1. Intelligent Buildings Measurement PriorityExtracting Effective Model Inputs by Mining StandardizedDataScopeAll intelligent systems for new and existing commercial and residential buildingsTechnology Innovation or ImprovementThere is currently a lack of uniformity in metrics used to quantity and monitor energysavings in buildings (e.g., kWh, dollars saved). Uniform data would provide consistentinput to energy efficiency strategies and improve the reliability of models used topredict energy savings. Both are essential to determining the performance of net-zeroenergy buildings. Models are needed to incorporate both external and human (i.e., nonenergy)parameters, such as weather and behavior patterns.Measurement Science Challenges and Potential SolutionsChallenges• Variations in cost and energy source• Need to collect cost data along withmeasurement data in real timePotential Solutions• Standardized data collectionmethods• Data analysis protocolsStakeholders and RolesGovernment . . . . . . . . . . . .National Laboratories . . . .Industry . . . . . . . . . . . . . . .Private Research InstitutesAcademia . . . . . . . . . . . . . .Standards Organizations. .Trade Groups . . . . . . . . . . .funding for mission-oriented programsmodel developmentwriting standards, arbitration for final decisionmakingaggregate data from industryR E LATIVE I MPACTS L ow Hig hImproves Energy EfficiencyAccelerates InnovationEnhances CompetitivenessProvides Societal BenefitsSupports a Healthy Environment*******************************30 Measurement Science for Net-Zero Energy Buildings
Exhibit IV.2. Intelligent Buildings Measurement PriorityAutomated Tools for Commissioning (Cx)ScopeNew and existing commercial and residential buildingsTechnology Innovation or ImprovementThere is a lack of automated commissioning (Cx) of equipment (components,subsystems, and systems) in today’s buildings. Automation would improveperformance (productivity, energy, and comfort), lower labor costs, and enablecontinuous Cx and the associated benefits. Tools that automate single or multiplephases of Cx (design, construction, performance, testing, correction,documentation), as well as tools specific to building systems (e.g., lighting, HVAC,water), are needed.Measurement Science Challenges and Potential SolutionsChallenges• Data identification, collection, andanalysis• Automated fault detection anddiagnostics (FDD), and correctivetoolsStakeholders and RolesGovernment . . . . . . . . . . . . . .National Laboratories . . . . . .Private Research Institutes. .Industry . . . . . . . . . . . . . . . . .Trade Groups . . . . . . . . . . . . .Standards Organizations . . .Academia . . . . . . . . . . . . . . . .Potential Solutions• Case studies of individual systemsand components• Test beds for testing anddeveloping tools/approaches• Models, methods, algorithms, andtools for automated FDDfunding, coordination, policy, direct research, codesapplied research, development and demonstrationproduct innovation, testing and demonstrationstandard algorithms, best practice guidelinesstandardization, information dissemination, trainingfundamental and applied research, model validationRELATIVE IMPACTS Low HighImproves Energy EfficiencyAccelerates InnovationEnhances CompetitivenessProvides Societal BenefitsSupports a Healthy Environment*****************************************Measurement Science for Net-Zero Energy Buildings 31
Page 1: NIST Technical Note 1660Measurement
Page 4 and 5: Certain commercial entities, equipm
Page 7 and 8: PREFACEThis report summarizes the r
Page 9 and 10: EXECUTIVE SUMMARYBuildings account
Page 11 and 12: I. INTRODUCTIONA. Background and Im
Page 13 and 14: • Building Envelope Energy Reduct
Page 15 and 16: advances in technology and knowledg
Page 17 and 18: Table III‐1. Onsite Energy Produc
Page 19 and 20: needs to be resolved for urban buil
Page 21 and 22: Table III‐2. Onsite Energy Genera
Page 23 and 24: Exhibit III.1. On-Site Energy Produ
Page 33 and 34: IV. INTELLIGENT BUILDINGSIntelligen
Page 35 and 36: Near Term: Systems that provide inf
Page 37 and 38: Table IV‐2. Intelligent Buildings
Page 39: E. Priorities for Measurement Scien
Page 43 and 44: Exhibit IV.4. Intelligent Buildings
Page 45 and 46: Exhibit IV.6. Intelligent Buildings
Page 47 and 48: B. Critical TechnologiesA wide vari
Page 49 and 50: difficult to efficiently integrate
Page 51 and 52: Sensors (continued)LowerPriorityBui
Page 53 and 54: Exhibit V.1. Whole Buildings Measur
Page 59 and 60: VI. BUILDING ENVELOPEBuilding energ
Page 61 and 62: Long Term: Energy efficiency rating
Page 63 and 64: Sensors (continued)LowerPriorityBui
Page 65 and 66: Exhibit VI.1. Building Envelope Mea
Page 71 and 72: B. Critical TechnologiesMore energy
Page 73 and 74: optimize and recalibrate when neces
Page 75 and 76: Table VII‐2. Building Equipment -
Page 77 and 78: Exhibit VII.1. Building Equipment M
Page 79 and 80: Exhibit VII.3. Building Equipment M
Page 81 and 82: APPENDICESMeasurement Science for N
Page 83 and 84: Whole BuildingsBill Bahnfleth Penns
Page 85 and 86: APPENDIX C: ACRONYMSANSI:ASHRAE:AST

Measurement Science Roadmap for Net-Zero Energy Buildings

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