Search NASA⌕ Search

Engineering topics

Horowitz, Kelsey A

Publications and source records attributed to Horowitz, Kelsey A.

15 records
All sourcesNASA NTRSDOE OSTI
DOE OSTI2020

Quantifying the Relationship Between Higher Photovoltaic Module Efficiency and the Adoption of Distributed Solar

The purpose of this study is understanding the relationship between module efficiency, system costs, and the economic and adoption potential of distributed rooftop solar. We use the dGen model to project the economic potential and adoption of high-efficiency photovoltaic (PV) modules across a range of efficiencies and cost scenarios in the continental United States. Our results reveal that high-efficiency modules can modestly increase the projected adoption of distributed solar, but system capital costs may play a larger role in changing the amount of projected adoption.

14 SOLAR ENERGY↗
DOE OSTI2020

Analysis of the Value Proposition of High-Efficiency, Multijunction Solar Modules for Residential Rooftop Installations

Utilizing detailed bottom-up models, we analyze the potential markets for high-efficiency photovoltaic modules in the United States. We first estimate the fraction of area-constrained residential rooftops that could benefit from increasing the availability of high-efficiency systems. We then model the impact of efficiency on installed system costs in these area-constrained scenarios. Finally, we explore the value proposition of high-efficiency, fixed-tilt micro-concentrator photovoltaic modules in a series of case studies of residential customers, modeling the levelized cost of energy, payback period, and annual bill savings. We find that efficiency can provide significant savings in installed system cost and improve value to the solar system owner. The improvement in value depends on location and the size of the rooftop, as well as the ability of a given technology to collect diffuse light and achieve low module costs.

14 SOLAR ENERGY↗
DOE OSTI2019

Quasi-Static Time-Series PV Hosting Capacity Methodology and Metrics

Distributed photovoltaic systems (DPV) can cause adverse grid impacts, including voltage or thermal violations. The installed capacity at which violations first occur and above which would require system upgrades is called the hosting capacity. Current methods for determining hosting capacity tend to be conservative by either only considering infrequent worst-case snapshots in time and/or only capturing coarse time and spatial resolution. Additionally, current hosting capacity methods do not accurately capture the time-dependence making them unable to capture the behavior of voltage regulating equipment and of some advanced controls mitigations. This can trigger delays from unnecessary engineering analysis or deter solar installations in areas that are actually suitable. We propose a quasi-static-time-series (QSTS) based PV hosting capacity methodology to address these issues. With this approach, we conduct power flow analysis over the course of a full year, to capture time-varying parameters and control device actions explicitly. We show that this approach can more fully capture grid impacts of DPV than traditional methods.

24 POWER TRANSMISSION AND DISTRIBUTION↗
DOE OSTI2019

Quantifying the Relationship Between Higher Photovoltaic Module Efficiency and the Adoption of Distributed Solar: Preprint

The purpose of this study is understanding the relationship between module efficiency, system costs, and the economic and adoption potential of distributed rooftop solar. We use the dGen model to project the economic potential and adoption of high-efficiency photovoltaic (PV) modules across a range of efficiencies and cost scenarios in the continental United States. Our results reveal that high-efficiency modules can modestly increase the projected adoption of distributed solar, but system capital costs may play a larger role in changing the amount of projected adoption.

14 SOLAR ENERGY↗
DOE OSTI2019

The International Supply Chain and Manufacturing Costs for Photovoltaic Modules, and Project Economics of Systems Including Storage

This talk will highlight the most recent efforts from the National Renewable Energy Laboratory's (NREL) Strategic Energy Analysis Center (SEAC) to track solar PV manufacturing capacities and trade flows, bottom-up manufacturing costs, and project capital costs including storage. We will begin with an overview of the global PV supply chain and the 2019 benchmark input data used to inform NREL's crystalline silicon (c-Si) and thin film module manufacturing cost models. The accounting framework that we follow and that will be reviewed during this talk provides a methodology to prepare cost models in accordance with the Generally Accepted Accounting Principles (GAAP) and the International Financial Reporting Standards (IFRS). For the polysilicon, wafer, cell conversion, and module assembly steps of the c-Si supply chain, and for thin film modules, we will review input data and methods useful for calculating the costs of goods sold (COGS); research and development (R&D) expenses; and sales, general, and business administration (S, G, &A) expenses. This 2019 benchmark analysis is compiled for state-of-the-art polysilicon-to-module manufacturing across the globe. We will also provide an overview of opportunities for solar plus storage and show our 2018 benchmark bottom-up capital cost model results for utility-scale PV systems with battery storage.

14 SOLAR ENERGY↗
DOE OSTI2019

Beyond Hosting Capacity: Using Shortest-Path Methods to Minimize Upgrade Cost Pathways

This paper presents a graph-based forward looking algorithm applied to distribution planning in the context of distributed photovoltaic penetration. We study the target hosting capacity problem where the objective is to find the least-cost sequence of system upgrades to reach a predefined hosting capacity target value. We show that commonly used short-term cost minimization approaches often lead to suboptimal long-term solutions. By comparing our method against such myopic techniques on real distribution systems, we show that our algorithm is able to reduce the overall integration costs by looking at future decisions. Because hosting capacity is hard to compute, this problem requires efficient methods to search the space. We demonstrate that heuristics using domain-specific knowledge can be efficiently used to improve the algorithm performance, such that real distribution systems can be studied.

24 POWER TRANSMISSION AND DISTRIBUTION↗
DOE OSTI2019

An Overview of Distributed Energy Resource (DER) Interconnection: Current Practices and Emerging Solutions

This guidebook provides an overview of key issues for utilities and utility regulators to consider as deployments of distributed energy resources (DER) increase, including what has been tried in the field and emerging good practices. Topics covered include: Interconnection Applications and Application Processing; Interconnection Standards; Advanced Inverters; Impact Screening and Evaluation; Estimating Future DER deployments; Distribution System Upgrades and Planning in a DER context; Cybersecurity; Storage and Solar plus Storage Interconnection; and Cost Allocation.

24 POWER TRANSMISSION AND DISTRIBUTION↗
DOE OSTI2019

Quasi-Static Times Series PV Hosting Capacity Methodology and Metrics: Preprint

Distributed photovoltaic systems (DPV) can cause adverse grid impacts, including voltage or thermal violations. The installed capacity at which violations first occur and above which would require system upgrades is called the hosting capacity. Current methods for determining hosting capacity tend to be conservative by either only considering infrequent worst-case snapshots in time and/or only capturing coarse time and spatial resolution. Additionally, current hosting capacity methods do not accurately capture the time-dependence making them unable to capture the behavior of voltage regulating equipment and of some advanced controls mitigations. This can trigger delays from unnecessary engineering analysis or deter solar installations in areas that are actually suitable. We propose a quasi-static-timeseries (QSTS) based PV hosting capacity methodology to address these issues. With this approach, we conduct power flow analysis over the course of a full year, to capture time-varying parameters and control device actions explicitly. We show that this approach can more fully capture grid impacts of DPV than traditional methods.

14 SOLAR ENERGY↗
DOE OSTI2018

Sequential Mitigation Solutions to Enable Distributed PV Grid Integration

This paper presents a method to assess the technical impacts of a series of distribution system mitigations for integrating increasing penetrations of distributed generation from solar photovoltaics (DGPV). Solutions considered include distribution grid upgrades and advanced control technologies. This study helps pave the way to estimate the distribution integration costs needed to reach various PV penetration levels. The approach uses three stream-lined, bounding scenarios for increased PV penetration patterns. It begins by studying the distribution impact of PV power and quantifying the PV hosting capacity. Then, it studies multiple mitigation solutions to increase PV penetration on distribution feeders. These mitigation solutions are implemented in a sequential manner according to their typical costs. The proposed technique is demonstrated on two representative distribution feeders.

14 SOLAR ENERGY↗
DOE OSTI2018

Enabling Low-Cost III-V/Si Integration Through Nucleation of GaP on v-Grooved Si Substrates

Growth of III-V materials on Si could enable dramatic cost reduction for III-V PV by eliminating the need for expensive III-V substrates and enabling high-efficiency tandem solar cells. The direct heteroepitaxy of III-V materials on Si for high-efficiency photovoltaics has progressed greatly in recent years, but most studies have focused on off-cut wafers polished using an expensive chemical-mechanical planarization process (which is not used for commercial solar cells). Alternative growth approaches are needed that can enable the integration of high material quality III-Vs with PV-grade Si materials. Here we demonstrate the use of cost-effective patterning and etching approaches to create templates for selective area epitaxy on PV-grade Si substrates. We investigate the nucleation of III-V materials on these substrates.

14 SOLAR ENERGY↗
DOE OSTI2018

Estimating the Effects of Module Area on Thin-Film Photovoltaic System Costs

We investigate the potential effects of module area on the cost and performance of photovoltaic systems. Applying a bottom-up methodology, we analyzed the costs associated with thin-film modules and systems as a function of module area. We calculate a potential for savings of up to 0.10/Wand0.13/W in module manufacturing costs for CdTe and CIGS respectively, with large area modules. We also find that an additional 0.04/W savings in balance-of-systems costs may be achieved. Sensitivity of the /W cost savings to module efficiency, manufacturing yield, and other parameters is presented. Lifetime energy yield must also be maintained to realize reductions in the levelized cost of energy; the effects of module size on energy yield for monolithic thin-film modules are not yet well understood. Finally, we discuss possible non-cost barriers to adoption of large area modules.

14 SOLAR ENERGY↗
DOE OSTI2018

Sequential Mitigation Solutions to Enable Distributed PV Grid Integration: Preprint

This paper provides a method to assess the impact of multiple mitigation solutions including distribution grid upgrades and advanced control technologies on increasing distributed PV penetration in distribution feeders, and thus paves the way to estimate the costs needed for reaching certain PV penetration level. Based on three assumptions of creating increasing PV penetration scenarios, this paper first studies the distribution impact of PV power and quantifies the PV hosting capacity in distribution feeders. Then, it studies multiple mitigation solutions to increase PV penetration on distribution feeders. These mitigation solutions are implemented in a sequential manner according to their typical costs. The proposed study is demonstrated on two representative distribution feeders.

14 SOLAR ENERGY↗
DOE OSTI2018

SiC Power Electronics in Medium Voltage Motor Drives: Trade and Manufacturing Analysis

Wide bandgap (WBG) semiconductor devices are increasingly being considered for use in certain power electronics applications, where they can improve efficiency, performance, footprint, and, potentially, total system cost compared to systems using traditional silicon (Si) devices. Silicon carbide (SiC) devices in particular -- which are currently more mature than other WBG devices -- are poised for growth in the coming years. Today, the manufacturing of SiC wafers is concentrated in the United States, and chip production is split roughly equally between the United States, Japan, and Europe. Established contract manufacturers located throughout Asia typically carry out manufacturing of WBG power modules. We seek to understand how global manufacturing of SiC components may evolve over time by illustrating the regional cost drivers along the supply chain and providing an overview of other factors that influence where manufacturing is sited. We conduct this analysis for a particular case study where SiC devices are used in a medium-voltage motor drive.

29 ENERGY PLANNING, POLICY, AND ECONOMY↗
DOE OSTI2018

Optimizing Distributed Photovoltaic System Set Points Under Uncertainty

We explore the potential for using dynamic programming (DP) and approximate dynamic programming (ADP) techniques to optimize the set points of distributed photovoltaic (DGPV) inverters under uncertainty about future DGPV deployment. We consider a case where a large (=1MW) system is installed first, and growth in deployment of small rooftop systems is anticipated, but uncertain. We find that for a real feeder (EPRI's J1 feeder), a significant reduction in the number and severity of voltage violations can be expected when DP or ADP is used compared to selecting set points based on the current conditions (the traditional myopic approach). Additionally, we find that using a simple ADP algorithm, sampled backward induction, is more than twice as fast as DP with similar outcomes.

14 SOLAR ENERGY↗