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Dive into the research topics where Mary Ann Piette is active.

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Featured researches published by Mary Ann Piette.


Other Information: PBD: Jan 1997 | 1997

User guide to power management for PCs and monitors

Bruce Nordman; Mary Ann Piette; Kris Kinney; Carrie A. Webber

Power management of personal computers (PCs) and monitors has the potential to save significant amounts of electricity as well as deliver other economic and environmental benefits. The Environmental Protection Agency`s ENERGY STAR{reg_sign} program has transformed the PC market so that equipment capable of power management is now widely available. However, previous studies have found that many Energy Star compliant computer systems are not accomplishing energy savings. The principal reasons for this are systems not being enabled for power management or a circumstance that prevents power management from operating. This guide is intended to provide information to computer support workers to increase the portion of systems that successfully power manage. The guide introduces power management concepts and the variety of benefits that power management can bring. It then explains how the parts of a computer system work together to enter and leave power management states. Several common computer system types are addressed, as well as the complications that networks bring to power management. Detailed instructions for checking and configuring several system types are provided, along with trouble shooting advice. The guide concludes with a discussion of how to purchase Energy Star compliant systems and future directions for power management of PCs and related equipment.


Archive | 2017

Costs to Automate Demand Response - Taxonomy and Results from Field Studies and Programs

Mary Ann Piette; Oren Schetrit; Sila Kiliccote; Iris Cheung; Becky Z Li

Author(s): Piette, Mary A; Schetrit, Oren; Kiliccote, Sila; Cheung, Iris; Li, Becky Z | Abstract: During the past decade, the technology to automate demand response (DR) in buildings and industrial facilities has advanced significantly. Automation allows rapid, repeatable, reliable operation. This study focuses on costs for DR automation in commercial buildings with some discussion on residential buildings and industrial facilities. DR automation technology relies on numerous components, including communication systems, hardware and software gateways, standards-based messaging protocols, controls and integration platforms, and measurement and telemetry systems. This report compares cost data from several DR automation programs and pilot projects, evaluates trends in the cost per unit of DR and kilowatts (kW) available from automated systems, and applies a standard naming convention and classification or taxonomy for system elements. Median costs for the 56 installed automated DR systems studied here are about


Archive | 2015

Green, Clean, & Mean: Pushing the Energy Envelope in Tech Industry Buildings

Evan Mills; Jessica Granderson; Rengie Chan; Richard Diamond; Philip Haves; Bruce Nordman; Paul Mathew; Mary Ann Piette; Gerald Robinson; Stephen Selkowitz

200/kW. The deviation around this median is large with costs in some cases being an order of magnitude great or less than the median. This wide range is a result of variations in system age, size of load reduction, sophistication, and type of equipment included in cost analysis. The costs to automate fast DR systems for ancillary services are not fully analyzed in this report because additional research is needed to determine the total cost to install, operate, and maintain these systems. However, recent research suggests that they could be developed at costs similar to those of existing hot-summer DR automation systems. This report considers installation and configuration costs and does include the costs of owning and operating DR automation systems. Future analysis of the latter costs should include the costs to the building or facility manager costs as well as utility or third party program manager cost.


Archive | 2017

Demand Response Potential for California SubLAPs and Local Capacity Planning Areas: An Addendum to the 2025 California Demand Response Potential Study – Phase 2

Peter Alstone; Jennifer Potter; Mary Ann Piette; Peter Schwartz; Michael A. Berger; Laurel N. Dunn; Sarah J. Smith; Michael D. Sohn; Arian Aghajanzadeh; Sofia Stensson; Julia Szinai

Author(s): Mills, Evan; Granderson, Jessica; Chan, Rengie; Diamond, Richard; Haves, Philip; Nordman, Bruce; Mathew, Paul; Piette, Mary Ann; Robinson, Gerald; Selkowitz, Stephen | Abstract: When it comes to innovation in energy and building performance, one can expect leading-edge activity from the technology sector. As front-line innovators in design, materials science, and information management, developing and operating high-performance buildings is a natural extension of their core business. The energy choices made by technology companies have broad importance given their influence on society at large as well as the extent of their own energy footprint. Microsoft, for example, has approximately 250 facilities around the world (30 million square feet of floor area), with significant aggregate energy use of approximately 4 million kilowatt-hours per day (Figure 1).


Archive | 2004

The Cost-Effectiveness of Commissioning New and Existing Commercial Buildings: Lessons from 224 Buildings

Evan Mills; Norman Bourassa; Mary Ann Piette; Hannah Friedman; Tehesia Powell; D. E. Claridge

Author(s): Alstone, P; Potter, J; Piette, MA; Schwartz, P; Berger, MA; Dunn, LN; Smith, SJ; Sohn, M; Aghajanzadeh, A; Stensson, S; Szinai, J


Archive | 1998

It's midnight -- Is your copier on?: Energy Star copier performance

Bruce Nordman; Mary Ann Piette; Brian Pon; Kristopher L. Kinney


Archive | 2016

Can We Practically Bring Physics-based Modeling Into Operational Analytics Tools?:

Jessica Granderson; Marco Bonvini; Mary Ann Piette; Janie Page; Guanjing Lin; R. Lilly Hu


Archive | 2015

Diffusion of Automated Grid Transactions Through Energy Efficiency Codes

Girish Ghatikar; Ella Hae Yeong Sung; Mary Ann Piette


Archive | 2015

Design of an Open Smart Energy Gateway for Smart Meter Data Management

Janie Page; Chuck McParland; Mary Ann Piette; Stephen Czarnecki


Archive | 2015

Development of Diagnostic and M&V Agents, and Implementation in an Occupied Office Environment

Jessica Granderson; Phillip Price; Stephen Czarnecki; Janie Page; Rich Brown; Mary Ann Piette

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Bruce Nordman

Lawrence Berkeley National Laboratory

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Jessica Granderson

Lawrence Berkeley National Laboratory

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Evan Mills

Lawrence Berkeley National Laboratory

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Philip Haves

Lawrence Berkeley National Laboratory

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Arian Aghajanzadeh

Lawrence Berkeley National Laboratory

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Girish Ghatikar

Lawrence Berkeley National Laboratory

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Sila Kiliccote

Lawrence Berkeley National Laboratory

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Sofia Stensson

Lawrence Livermore National Laboratory

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Aimee McKane

Lawrence Berkeley National Laboratory

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