A post-occupancy monitored evaluation of the dimmable lighting, automated shading, and underfloor air distribution system in The New York Times Building

Coffey, Brian; McNeil, Andrew; Clear, Robert; Webster, Tom; Bauman, Fred; Dickerhoff, Darrell; Heinzerling, David; Hoyt, Tyler

doi:10.2172/1169478

Cited by 20 publications

(27 citation statements)

References 5 publications

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“…Similarly, simulation studies have shown that office workers who are proactive in saving energy (dimming lights, turning on HVAC systems only when needed, turning off plug loads and equipment when not needed) consume up to 50% less than occupants who do not [11]. Innovative research agendas, both in experimental [14] and field settings [27,[123][124][125], aim to explore and highlight occupant behavior as a fundamental influence on building energy use-an influence that can maximize energy efficiency to the same extent that technological innovation can. This is achieved by combining research and experimental activities for the development and deployment of human comfortadaptive mechanisms in indoor environments, data-driven analysis, occupancy drive model predictive controls (MPC) for the energy management and control systems (EMCS), modeling and simulation of occupant behavior in buildings, and building physics expertise [126] with social science insights to provide an interdisciplinary, innovative vision on human-centered energy efficiency in buildings [91,[127][128][129][130].…”

Section: 22supporting Research Advancementsmentioning

confidence: 99%

The human dimensions of energy use in buildings: A review

D’Oca

Hong

Langevin

2018

Renewable and Sustainable Energy Reviews

301

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The "human dimensions" of energy use in buildings refer to the energy-related behaviors of key stakeholders that affect energy use over the building life cycle. Stakeholders include building designers, operators, managers, engineers, occupants, industry, vendors, and policymakers, who directly or indirectly influence the acts of designing, constructing, living, operating, managing, and regulating the built environments, from individual building up to the urban scale. Among factors driving high-performance buildings, human dimensions play a role that is as significant as that of technological advances. However, this factor is not well understood, and, as a result, human dimensions are often ignored or simplified by stakeholders. This paper presents a review of the literature on human dimensions of building energy use to assess the state-of-the-art in this topic area. The paper highlights research needs for fully integrating human dimensions into the building design and operation processes with the goal of reducing energy use in buildings while enhancing occupant comfort and productivity. This research focuses on identifying key needs for each stakeholder involved in a building's life cycle and takes an interdisciplinary focus that spans the fields of architecture and engineering design, sociology, data science, energy policy, codes, and standards to provide targeted insights.Greater understanding of the human dimensions of energy use has several potential benefits including reductions in operating cost for building owners; enhanced comfort conditions and productivity for building occupants; more effective building energy management and automation systems for building operators and energy managers; and the integration of more accurate control logic into the next generation of human-in-the-loop technologies. The review concludes by summarizing recommendations for policy makers and industry stakeholders for developing codes, standards, and technologies that can leverage the human dimensions of energy use to reliably predict and achieve energy use reductions in the residential and commercial buildings sectors.

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Section: 22supporting Research Advancementsmentioning

confidence: 99%

The human dimensions of energy use in buildings: A review

D’Oca

Hong

Langevin

2018

Renewable and Sustainable Energy Reviews

301

View full text Add to dashboard Cite

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“…By removing the need for occupants to manually operate shading devices, it can create a more comfortable environment as well as provide a system for incorporating the savings that would have been lost if blind position were left up to erroneous manual interaction. A case study performed on the New York Times Headquarters building suggest that automated blind control systems accounted for 98% of all blind movements [11]. The other 2% were results of user adjustment once a control decision is made by the automated system.…”

Section: Shading Devices Controlmentioning

confidence: 99%

Comparing Whole Building Energy Implications of Sidelighting Systems with Alternate Manual Blind Control Algorithms

et al. 2015

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Currently, there is no manual blind control guideline used consistently throughout the energy modeling community. This paper identifies and compares five manual blind control algorithms with unique control patterns and reports blind occlusion, rate of change data, and annual building energy consumption. The blind control schemes detailed here represent five reasonable candidates for use in lighting and energy simulation based on difference driving factors. This study was performed on a medium-sized office building using EnergyPlus with the internal daylight harvesting engine. Results show that applying manual blind control algorithms affects the total annual consumption of the building by as much as 12.5% and 11.5% for interior and exterior blinds respectively, compared to the Always Retracted blinds algorithm. Peak demand was also compared showing blind algorithms affected zone load sizing by as much as 9.8%. The alternate algorithms were tested for their impact on American Society of Heating, Refrigeration and Air-Conditioning Engineers (ASHRAE) Guideline 14 calibration metrics and all models were found to differ from the original calibrated baseline by more than the recommended ±15% for coefficient of variance of the mean square error (CVRMSE) and ±5% for normalized mean bias error (NMBE). The paper recommends that energy modelers use one OPEN ACCESSBuildings 2015, 5 468 or more manual blind control algorithms during design stages when making decisions about energy efficiency and other design alternatives.

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“…The shades were adjusted on a minute-tominute basis (depending on the control algorithm) typically in widths of 9.15 m (30 ft). Additional details can be obtained from [9,12].…”

Section: Automated Shading Systemmentioning

confidence: 99%

“…This study details the research conducted to monitor and verify the energy-efficiency benefits of the dimmable lighting control system. Assessment of the energy performance of the automated shading system and underfloor-air distribution system, and occupant response to the three technologies is documented in [9].…”

Section: Introductionmentioning

confidence: 99%

Monitored lighting energy savings from dimmable lighting controls in The New York Times Headquarters Building

Fernandes

Lee

DiBartolomeo

et al. 2014

Energy and Buildings

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Digital addressable, dimmable lighting controls were introduced to the US market in the early 2000s with the promise of facilitating capture of potential energy savings with greater flexibility over their historic, typically unreliable, analog counterpart. The New York Times Company installed this emerging technology, after having tested the system thoroughly prior to procurement, in their new building in New York, New York. Four years after full occupancy in 2007, the owner agreed to participate in a postoccupancy monitored evaluation of the dimmable lighting system to verify actual performance in the field. Annual lighting energy savings from daylighting, setpoint tuning and occupancy controls were determined for the daylit, open-plan office areas on three typical floors (6, 11, and 20 th floors) of the 51-story high-rise tower. Energy savings were calculated from ballast control signal and occupancy data recorded by the manufacturer's lighting control system. The ballast data were calibrated with independent measurements of lighting energy consumption. Savings from dimming controls (daylighting and setpoint tuning) were 12.6 kWh/m 2 -yr (1.17 kWh/ft 2 -yr) for the daylit spaces on the three floors overall, or 20%, relative to ASHRAE

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A post-occupancy monitored evaluation of the dimmable lighting, automated shading, and underfloor air distribution system in The New York Times Building

Cited by 20 publications

References 5 publications

The human dimensions of energy use in buildings: A review

The human dimensions of energy use in buildings: A review

Comparing Whole Building Energy Implications of Sidelighting Systems with Alternate Manual Blind Control Algorithms

Monitored lighting energy savings from dimmable lighting controls in The New York Times Headquarters Building

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