Measurement Science Roadmap for Net-Zero Energy Buildings

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Exhibit III.10. On-Site Energy Production MeasurementPriorityStandard Tariff DatabaseScopeOn-site energy generation systems for new and existing commercial and residentialbuildingsTechnology Innovation or ImprovementThe existing methodology for calculating energy savings is highly variable and subjectto manipulation. A standard tariff database would enable market discounting ofsavings from on-site energy systems, particularly photovoltaics, and would reducecustomer uncertainty and perception of risk, as well as increase confidence andacceptance in the market place.Measurement Science Challenges and Potential SolutionsChallenges• Non-standardized reference data• Continually changing data setsPotential Solutions• Reference data protocols• Unbiased information modelStakeholders and RolesGovernment . . . . . . . . . . .National Laboratories . . .Industry . . . . . . . . . . . . . . .Trade Groups . . . . . . . . . . .Academia . . . . . . . . . . . . . .mandate population of databasedevelop interfaces with data; maintain databaseprovide datadevelop algorithms databaseR E LATIVE I MPACTS L ow Hig hImproves Energy EfficiencyAccelerates InnovationEnhances CompetitivenessProvides Societal BenefitsSupports a Healthy Environment*****************************22 Measurement Science for Net-Zero Energy Buildings
IV. INTELLIGENT BUILDINGSIntelligent buildings apply a range of integrated, microprocessor-basedmeasurement and control technologies to improve the building environment andfunctionality for occupants and tenants while controlling costs. An effectiveenergy management system, for example, minimizes energy use, provides lowestcostenergy, avoids energy waste by managing occupied space, and efficiently usesresources via centralized control and integration of information from differentsources. Strategies for energy reduction may include programmed or optimalstart/stop of building systems, adaptive controls, and electricity demand limiting;chiller or boiler optimization; optimized energy sourcing; and automated faultdetection and diagnostics for building equipment.This topic area focuses on the technologies and measurement science needsrelevant to computerized building systems, controls, sensors, data collection/management and applications, integration of systems, grid integration, and othertechnologies needed to support intelligent systems in new and existing buildings.A. Characteristics of the Future Built EnvironmentThe potential characteristics of future intelligent building are summarized inTable IV-I. It is expected that buildings will become intelligent shelters, whichadapt to human occupants and activities, possess the ability to learn fromexperience, and are operated with a minimum of human involvement. Ultimately,buildings will be able to seek, compare, and learn from the experiences of similarbuildings, incorporating efficient practices and predicting the outcomes.Intelligent Building SystemsTable IV‐I. Intelligent Buildings – Future Built Environment• Buildings are intelligent shelters which adapt and respond to human needs• Buildings optimize performance to minimize operation costs and energy use, maximize desiredoccupant conditions, and effectively integrate with the grid• Buildings learn⎯they seek and find similar buildings and compare operations performance, learnfrom past experience, track building activities and occupant preferences and habits, and theninteractively predict occupant energy use and needs• Integration with nearby buildings/communities enables shared resources and net‐zero communities• Sensor‐rich systems share information across multiple applications• Fully integrated, making use of wireless networks• Information systems are user‐friendly and self‐diagnostic for unskilled usersIntelligent Building Operations and Maintenance (O&M)• Building operations will become systems focused and an integral part of building design andmanagement rather than stand‐alone service functions• Buildings are operated and maintained automatically with minimum human involvement• Operation systems include more ability for interactions with and feedback to occupants• Buildings are self‐aware and able to identify primary maintenance needs• Smart integration of energy sources/end uses enables lower energy useMeasurement Science for Net-Zero Energy Buildings 23
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
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Page 35 and 36: Near Term: Systems that provide inf
Page 37 and 38: Table IV‐2. Intelligent Buildings
Page 39 and 40: E. Priorities for Measurement Scien
Page 41 and 42: Exhibit IV.2. 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
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Whole BuildingsBill Bahnfleth Penns
Page 85 and 86:
APPENDIX C: ACRONYMSANSI:ASHRAE:AST
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