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Dive into the research topics where David M. Lorenzetti is active.

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Featured researches published by David M. Lorenzetti.


Building and Environment | 2002

Computational aspects of nodal multizone airflow systems

David M. Lorenzetti

Abstract The multizone approach to steady-state airflow problems models a building as a network of discrete mass flow paths. A nodal formulation of the problem writes the governing equations in terms of the unknown pressures at the points where the flow paths connect. This paper proves conditions under which the nodal equations yield symmetric positive-definite matrices, guaranteeing a unique solution to the flow network. It also establishes relaxed conditions under which a nodal airflow system yields asymmetric matrices with positive eigenvalues, guaranteeing at least one solution. Properly exploiting the system properties greatly reduces the cost of numerical solution. Thus, multizone airflow programs such as C ONTAM and C OMIS depend on symmetric positive-definite systems. However, the background literature neglects or simplifies the underlying assumptions, does not assert existence and uniqueness, and even contains factual errors. This paper corrects those errors, states the implicit assumptions made in the programs, and discusses implications for modelers and programmers.


arXiv: Computational Engineering, Finance, and Science | 2016

Cyber–Physical Modeling of Distributed Resources for Distribution System Operations

Spyros Chatzivasileiadis; Marco Bonvini; Javier Matanza; Rongxin Yin; Thierry Stephane Nouidui; Emre Can Kara; Rajiv Parmar; David M. Lorenzetti; Michael Wetter; Sila Kiliccote

Cosimulation platforms are necessary to study the interactions of complex systems integrated in future smart grids. The Virtual Grid Integration Laboratory (VirGIL) is a modular cosimulation platform designed to study interactions between demand-response (DR) strategies, building comfort, communication networks, and power system operation. This paper presents the coupling of power systems, buildings, communications, and control under a master algorithm. There are two objectives: first, to use a modular architecture for VirGIL, based on the functional mockup interface (FMI), where several different modules can be added, exchanged, and tested; and second, to use a commercial power system simulation platform, familiar to power system operators, such as DIgSILENT PowerFactory. This will help reduce the barriers to the industry for adopting such platforms, investigate and subsequently deploy DR strategies in their daily operation. VirGIL further introduces the integration of the quantized state system (QSS) methods for simulation in this cosimulation platform. Results on how these systems interact using a real network and consumption data are also presented.


international conference on hybrid systems computation and control | 2015

CyPhySim: a cyber-physical systems simulator

Christopher Brooks; Edward A. Lee; David M. Lorenzetti; Thierry Stephane Nouidui; Michael Wetter

This demo provides a preview of a pre-release version of CyPhySim, an open-source simulator for cyber-physical systems. This simulator supports discrete-event models, quantized-state simulation of continuous dynamics, the Functional Mockup Interface (FMI), classical (Runge-Kutta) simulation of continuous dynamics, modal models (hybrid systems), discrete-time (periodic) systems, and algebraic loop solvers. CyPhySim provides a graphical editor, an XML file syntax for models, and an open API for programmatic construction of models.


Other Information: PBD: 29 Jan 2003 | 2003

Protecting buildings from a biological or chemical attack: Actions to take before or during a release

Phillip N. Price; Michael D. Sohn; Ashok J. Gadgil; William W. Delp; David M. Lorenzetti; Elizabeth U. Finlayson; Tracy L. Thatcher; Richard G. Sextro; Elisabeth A. Derby; Sondra A. Jarvis

This report presents advice on how to operate a building to reduce casualties from a biological or chemical attack, as well as potential changes to the building (e.g. the design of the ventilation system) that could make it more secure. It also documents the assumptions and reasoning behind the advice. The particular circumstances of any attack, such as the ventilation system design, building occupancy, agent type, source strength and location, and so on, may differ from the assumptions made here, in which case actions other than our recommendations may be required; we hope that by understanding the rationale behind the advice, building operators can modify it as required for their circumstances. The advice was prepared by members of the Airflow and Pollutant Transport Group, which is part of the Indoor Environment Department at the Lawrence Berkeley National Laboratory. The groups expertise in this area includes: tracer-gas measurements of airflows in buildings (Sextro, Thatcher); design and operation of commercial building ventilation systems (Delp); modeling and analysis of airflow and tracer gas transport in large indoor spaces (Finlayson, Gadgil, Price); modeling of gas releases in multi-zone buildings (Sohn, Lorenzetti, Finlayson, Sextro); and occupational health and safety experience related to building design and operation (Sextro, Delp). This report is concerned only with building design and operation; it is not a how-to manual for emergency response. Many important emergency response topics are not covered here, including crowd control, medical treatment, evidence gathering, decontamination methods, and rescue gear.


Other Information: PBD: 1 Nov 2004 | 2004

Coupled model for simulation of indoor airflow and pollutant transport

Buvana Jayaraman; David M. Lorenzetti; Ashok J. Gadgil

Understanding airflow in buildings is essential for improving energy efficiency, controlling airborne pollutants, and maintaining occupant comfort. Recent research on whole-building airflow simulation has turned toward protecting occupants from threats of chemical or biological agents. Sample applications include helping design systems to reduce exposure, and selecting optimal sensor locations. Multizone models and computational fluid dynamics (CFD) provide complementary approaches to predicting airflows in buildings. Multizone models treat a building as a collection of well-mixed zones, connected by flow paths such as doors, windows, etc. These zone-to-zone airflows carry contaminants around the building. However, the multizone formulation assumes that pollutants mix perfectly and instantaneously within each zone. For large spaces that take a long time to mix, these models cannot assess occupant exposures, or guide decisions about sensor placement or ventilation strategy. Furthermore, since the airflow in most large spaces couples tightly to the rest of the building (through doors and ventilation systems), errors due to neglecting the room details eventually propagate to the rest of the solution.


Archive | 2018

Pollutant Concentrations and Emission Rates from Scripted Natural Gas Cooking Burner Use in Nine Northern California Homes

Brett C. Singer; William W. Delp; David M. Lorenzetti; Randy L. Maddalena

Author(s): Singer, Brett C.; Delp, William W.; Lorenzetti, David M.; Maddalena, Randy L. | Abstract: METHODS: Combustion pollutant concentrations were measured during the scripted operation of natural gas cooking burners in nine homes. In addition to a base condition of closed windows, no forced air unit (FAU) use, and no mechanical exhaust, additional experiments were conducted while operating an FAU and/or vented range hood. Test homes included a 26m2 two-room apartment, a 134m2 first floor flat, and seven detached homes of 117–226m2. There were four single-story, four two-story and one 1.5 story homes. Cooktop use entailed boiling and simmering activities, using water as a heat sink. Oven and broiler use also were simulated. Time-resolved concentrations of carbon dioxide (CO2), nitric oxide (NO), nitrogen oxides (NOX), nitrogen dioxide (NO2), particles with diameters of 6 nm or larger (PN), carbon monoxide (CO), and fine particulate matter (PM2.5) were measured in the kitchen (K) and bedroom area (BR) of each home. CO2, NO, NO2, and PN data from sequential experiments were analyzed to quantify the contribution of burner use to the highest 1h and 4h time-integrated concentrations in each room. RESULTS: Four of the nine homes had kitchen 1h NO2 exceed the national ambient air quality standard (100 ppb). Two other homes had 1h NO2 exceed 50 ppb in the kitchen, and three had 1h NO2 above 50 ppb in the bedroom, suggesting substantial exposures to anyone at home when burners are used for a single substantial event. In all homes, the highest 1h kitchen PN exceeded 2 x105 cm-3-h, and the highest 4h PN exceeded 3 x105 cm-3-hr in all homes. The lowest 1h kitchen/bedroom ratios were 1.3–2.1 for NO in the apartment and two open floor plan homes. The largest K/BR ratios of 1h NO2 were in a two-story 1990s home retrofitted for deep energy savings: ratios in this home were 3.3 to 6.6. Kitchen 1h ratios of NO, NO2 and PN to CO2 were used to calculate fuel normalized emission factors (ng J-1). Range hood use substantially reduced cooking burner pollutant concentrations both in the kitchen and bedroom of several homes. A hood with large capture volume and a measured flow of 108 L/s reduced concentrations 80-95%. IMPLICATIONS: These measurements demonstrate that operation of natural gas cooking burners without venting can cause short-term kitchen concentrations of NO2 to exceed the US outdoor health standard, and can elevate concentrations of NO, NO2, and ultrafine particles throughout the home. Results are generally consistent with a recent simulation study that estimated widespread 1h NO2 exposures exceeding 100 ppb in homes that use gas burners without venting. While operating a venting range hood can greatly reduce pollutant levels from burner use (and presumably from cooking as well), performance varies widely across hoods. Increased awareness of the need to ventilate when cooking would substantially reduce in-home exposure to NO2 and ultrafine particles in California homes. Helping consumers select effective hoods, for example by publishing capture efficiency performance ratings, also would help reduce exposure.


Archive | 2002

MODELING THE SPREAD OF ANTHRAX IN BUILDINGS

Richard G. Sextro; David M. Lorenzetti; Tracy L. Thatcher


Building and Environment | 2014

Implementing state-space methods for multizone contaminant transport

Simon Parker; David M. Lorenzetti; Michael D. Sohn


Lawrence Berkeley National Laboratory | 2002

Assessing multizone airflow simulation software

David M. Lorenzetti


Building and Environment | 2013

A stiff, variable time step transport solver for CONTAM

David M. Lorenzetti; W. Stuart Dols; Andrew K. Persily; Michael D. Sohn

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Michael D. Sohn

Lawrence Berkeley National Laboratory

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Michael Wetter

Lawrence Berkeley National Laboratory

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Richard G. Sextro

Lawrence Berkeley National Laboratory

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Thierry Stephane Nouidui

Lawrence Berkeley National Laboratory

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William W. Delp

Lawrence Berkeley National Laboratory

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Ashok J. Gadgil

Lawrence Berkeley National Laboratory

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Brett C. Singer

Lawrence Berkeley National Laboratory

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Edward A. Lee

University of California

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Randy L. Maddalena

Lawrence Berkeley National Laboratory

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