Ning L Lu

US Patent:

6809041, Oct 26, 2004

Filed:

Jan 10, 2003

Appl. No.:

10/339336

Inventors:

Leonard Vincent Interrante - Schenectady NY
Ning Lu - Troy NY

Assignee:

Rensselaer Polytechnic Institute - Troy NY

International Classification:

H01L 2131

US Classification:

438780, 257632

Abstract:

A hybrid organic/inorganic organosilicon networked polymer material having a compositional formula [Si(O)CH ] and a dielectric constant of less than 2. 4 is provided. The material may be used as an interlayer dielectric film in a semiconductor device. The film is preferably fabricated by a sol-gel process using an alkoxy substituted hyperbranched polycarbosilane precursor material.

US Patent:

20110270452, Nov 3, 2011

Filed:

May 3, 2010

Appl. No.:

12/772954

Inventors:

Ning Lu - Richland WA, US
Pengwei Du - Richland WA, US
Xinxin Guo - Richland WA, US
Robert G. Pratt - Kennewick WA, US
Donald J. Hammerstrom - West Richland WA, US

International Classification:

G06F 1/28
G06F 1/26
G06Q 50/00
G05B 23/02
G06Q 10/00

US Classification:

700291, 340 31, 705348, 700296

Abstract:

Disclosed herein are representative embodiments of methods, apparatus, and systems for controlling and scheduling power distribution in a power network, such as household power network. One disclosed embodiment is a system comprising a central controller and a control device coupled to a household appliance. The central controller can comprise computing hardware coupled to a wireless transceiver. The central controller can be configured to generate and transmit control signals for controlling the operational state of the household appliance according to the schedule. Furthermore, the control device can be configured to receive the transmitted control signals from the central controller and to control the operational state of the household appliance in response to the control signals.

US Patent:

20120119579, May 17, 2012

Filed:

Nov 17, 2010

Appl. No.:

12/948337

Inventors:

Chunlian Jin - Richland WA, US
Ning Lu - Richland WA, US
Shuai Lu - Richland WA, US
Yuri V. Makarov - Richland WA, US

International Classification:

H02J 4/00

US Classification:

307 60

Abstract:

A controller is disclosed for hybrid systems providing power to an electrical power grid. The controller reduces wear on hybrid systems by having only a fast unit tuned to track fluctuations of a regulation signal in a normal mode of operation. By contrast, the slow unit does not track fluctuations in the regulation signal in the normal mode of operation, which reduces wear on the slow unit. The normal mode of operation is defined by an energy range of the fast unit. Energy band parameters associated with the energy range can be dynamically modified in order to optimize the efficiency of the hybrid system.

US Patent:

20130282181, Oct 24, 2013

Filed:

Apr 20, 2012

Appl. No.:

13/452340

Inventors:

Ning Lu - Richland WA, US
Yu Zhang - Richland WA, US
Pengwei Du - Richland WA, US
Yuri V. Makarov - Richland WA, US

Assignee:

BATTELLE MEMORIAL INSTITUTE - Richland WA

International Classification:

G05D 23/19

US Classification:

700275

Abstract:

A system and method of controlling aggregated thermostatically controlled appliances (TCAs) for demand response is disclosed. A targeted load profile is formulated and a forecasted load profile is generated. The TCAs within an “on” or “off” control group are prioritized based on their operating temperatures. The “on” or “off” status of the TCAs is determined. Command signals are sent to turn on or turn off the TCAs.

US Patent:

20210004720, Jan 7, 2021

Filed:

Dec 28, 2017

Appl. No.:

16/957208

Inventors:

- Courbevoie, FR
- Raleigh NC, US
Ning LU - Raleigh NC, US

Assignee:

TOTAL SOLAR INTERNATIONAL - Courbevoie
NORTH CAROLINA STATE UNIVERSITY - Raleigh

International Classification:

G06N 20/00
G06F 16/23
G06N 3/08
G06N 3/04

Abstract:

A method, system, and device for controlling energy storage devices are provided, the method including receiving a trained machine learning model from a centralized machine learning system, recording temporal data for a respective energy storage device, periodically transmitting the temporal data to the machine learning system, performing a mode prediction for controlling the energy storage device using the trained machine learning model and the temporal data, and sending a control signal to the energy storage device to operate in the predicted mode. The machine learning system aggregates the temporal data transmitted by each agent and uses the aggregated temporal data to update the machine learning model. By using aggregated temporal data, less data is needed from an individual energy storage device so that when a new energy storage device joins the machine learning system, the new energy storage device can benefit from increased performance with less computation.

US Patent:

20210006069, Jan 7, 2021

Filed:

Mar 16, 2018

Appl. No.:

16/980568

Inventors:

- Courbevoie, FR
- Raleigh NC, US
Ning LU - Raleigh NC, US
Fuhong XIE - Raleigh NC, US

Assignee:

TOTAL SOLAR INTERNATIONAL - Courbevoie
NORTH CAROLINA STATE UNIVERSITY - Raleigh NC

International Classification:

H02J 3/00
H02J 3/14

Abstract:

A method, system, and device for managing off-grid power supply are provided. The method includes acquiring data from one or more loads. The one or more loads are connected to the off-grid power supply. The method further includes modeling the one or more loads based on the acquired data, estimating a state of charge of an energy storage device (ESD) associated with the off-grid power supply, and determining an operational status of each of the one or more loads. The operational status is based on at least the state of charge of the ESD and a category of each of the one or more loads. Each load is controlled based on the operational status.

US Patent:

20200373759, Nov 26, 2020

Filed:

Aug 7, 2019

Appl. No.:

16/534972

Inventors:

- Richland WA, US
Xinda Ke - Richland WA, US
Jesse T. Holzer - Kennewick WA, US
Renke Huang - Richland WA, US
Bharat Vyakaranam - Redmond WA, US
Mallikarjuna Vallem - Richland WA, US
Marcelo A. Elizondo - Seattle WA, US
Yuri Makarov - Richland WA, US
Ning Lu - Cary NC, US

International Classification:

H02J 3/18
H02J 3/38

Abstract:

Systems and methods are described for coordinating volt-var control between sub-transmission and distribution systems. Distributed energy resources of a distribution system are aggregated into virtual power plants from which reactive power can optimally be dispatched to the sub-transmission system. A sub-transmission controller executes a volt-var AC optimal power flow optimisation function to minimize voltage fluctuations that might otherwise occur when coordinating with a distribution system having distributed energy resources. The distribution system can use a sensitivity matrix for regulating voltage at distribution feeders while fulfilling a transmission or sub-transmission system's demand requests.

US Patent:

20200302561, Sep 24, 2020

Filed:

Oct 9, 2017

Appl. No.:

16/754267

Inventors:

- Courbevoie, FR
- Raleigh NC, US
Ning LU - Raleigh NC, US
Wente ZENG - Courbevoie, FR

Assignee:

TOTAL SOLAR INTERNATIONAL - Courbevoie
NORTH CAROLINA STATE UNIVERSITY - Raleigh NC

International Classification:

G06Q 50/06
G06Q 50/16
G05B 13/04
G01R 22/10
G01R 22/06
F24F 11/46
F24F 11/63

Abstract:

A decoupled ETP model processor is configured to store power consumption data retrieved from power systems; convert the power consumption data into power activated time cycles and power non-activated time cycles; derive a thermal resistance (R) parameter and a capacitance (C) parameter for a predetermined heat flow (Q) parameter at each of the outdoor temperatures; compare the converted power activated time cycles to the actual power activated time cycles; compare the converted power non-activated time cycles to the actual power non-activated time cycles; calculate a first improved resistance-capacitance-heat flow (RCQ) parameter set and a respective first outdoor temperature for the compared and converted power activated time cycles to the actual power activated time cycles; calculate the Q parameter at each outdoor temperature during the power activated time cycles; and calculate the R parameter and the C parameter at each outdoor temperature during the power non-activated time cycles.