A5088478330- Building Energy and Comfort Optimization
- Smart Grid Energy Management
- Energy Load and Power Forecasting
- Optimal Power Flow Distribution
- Energy Efficiency and Management
- Microgrid Control and Optimization
- Facilities and Workplace Management
- Fault Detection and Control Systems
- Power System Optimization and Stability
- Electric Power System Optimization
- Advanced Battery Technologies Research
- Innovative Energy Harvesting Technologies
- Power Quality and Harmonics
- Structural Health Monitoring Techniques
- Power Line Communications and Noise
- Green IT and Sustainability
- Industrial Vision Systems and Defect Detection
- Anomaly Detection Techniques and Applications
- BIM and Construction Integration
- Thermal Analysis in Power Transmission
- Electric Motor Design and Analysis
- Electromagnetic Compatibility and Noise Suppression
- Time Series Analysis and Forecasting
- Advanced Statistical Process Monitoring
- Maritime Transport Emissions and Efficiency
National Renewable Energy Laboratory
2015-2024
Pacific Northwest National Laboratory
2021
Colorado School of Mines
2011-2013
The set of optimization problems in electric power systems engineering known collectively as Optimal Power Flow (OPF) is one the most practically important and well-researched subfields constrained nonlinear optimization. OPF has enjoyed a rich history research, innovation, publication since its debut five decades ago. Nevertheless, entry into research daunting task for uninitiated—both due to sheer volume literature because OPF's ubiquity within community led authors assume great deal prior...
Bosch has developed and demonstrated a novel direct current (DC) microgrid system that maximizes the efficiency of locally generated photovoltaic energy while offering high reliability, safety, redundancy, reduced cost compared to equivalent alternating (AC) systems. Several demonstration projects validating feasibility expected gains have been completed additional ones are in progress. This paper gives an overview DC presents key results from large simulation study done estimate savings...
In conventional power flow, the system branch resistances are assumed to be constant despite fact that they sensitive temperature, and therefore loading losses. When accurate calculation of losses is important, temperature correction resistance can improve accuracy flow calculation. This paper introduces a temperature-dependent algorithm: novel approach which integrates an estimate temperatures with equations. methodology relies on creation set coupled equations solved using Newton-Raphson...
The induction motor equivalent circuit parameters are required for many performance and planning studies involving motors. These typically calculated from standardized tests, such as the no load, full locked rotor tests. However, test data is not available to end user. Alternatively, may be estimated based on published motor. This paper presents an iterative method estimating using only nameplate data.
Driven by the proliferation of DC energy sources and end-use devices (e.g., photovoltaics, battery storage, solid-state lighting, consumer electronics), power distribution in buildings has recently emerged as a path to improved efficiency, resilience, cost savings transitioning building sector. Despite these important benefits, there are several technological market barriers impeding development distribution, which have kept this technology at demonstration phase. This paper identifies...
Small commercial buildings (those with less than approximately 1000 m2 of total floor area) often do not have access to cost-effective automated fault detection and diagnosis (AFDD) tools for maintaining efficient building operations. AFDD based on machine-learning algorithms hold promise lowering cost barriers in small buildings; however, such require high-quality training data that is difficult obtain. To fill the gap this research area, study covers development (Part I) validation II)...
Empirical techniques for characterizing electrical energy use now play a key role in reducing electricity consumption, particularly miscellaneous loads, buildings. Identifying device operating modes (mode extraction) creates better understanding of both and system behaviors. Using clustering to extract from load data can provide valuable insights into behavior identify opportunities savings. We present fast effective heuristic method data.
Automated fault detection and diagnosis (AFDD) tools based on machine-learning algorithms hold promise for lowering cost barriers AFDD in small commercial buildings; however, access to high-quality training data such is often difficult obtain. To fill the gap this research area, study covers development (Part I) validation II) of models that can be used with building energy modeling software EnergyPlus® OpenStudio® generate a cost-effective set developing algorithms. Part II (this paper)...
Author(s): Granderson, Jessica; Lin, Guanjing; Singla, Rupman; Mayhorn, Ebony; Ehrlich, Paul; Vrabie, Draguna; Frank, Stephen | Abstract: It is estimated that 5%–30% energy use in commercial buildings wasted due to faults and errors operations. Automated fault detection diagnostics (AFDD) technologies can address this waste by identifying (detecting) deviations from normal or expected operation (faults), resolving (diagnosing) the type of problem its location, minimizing need for complex...
For many engineering studies involving commercial buildings, quick but reliable estimates for building electrical load characteristics are helpful. Often, little information about the is known, so such must be drawn from general knowledge or historical data. In United States, Commercial Buildings Energy Consumption Survey and Department of Reference provide simulation data, respectively, that may used to predict electricity consumption buildings. This paper develops a methodology using these...
Recently, there has been considerable research interest in the potential for DC distribution systems buildings instead of traditional AC systems. Due to need performing power conversions between and electricity, may provide electrical efficiency advantages some To support comparative evaluations AC-only, DC-only, hybrid AC/DC buildings, a new modeling toolkit called Building Electrical Efficiency Analysis Model (BEEAM) was developed is described this paper. account harmonics currents or...