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Margolis, Robert

Publications and source records attributed to Margolis, Robert.

At least 73 records · Page 4
All sourcesNASA NTRSDOE OSTI
DOE OSTI2019

SolarAPP+ ® (Solar Automated Permit Processing Plus) [SWR-19-51]

SolarAPP+ ®: Safe and affordable home solar through permitting automation. NREL has launched a collaborative effort with key code officials, authorities having jurisdiction (AHJs), and the solar industry to develop an instant online solar permitting platform for code compliant residential systems. SolarAPP (Solar Automated Permit Processing) will: -Provide a flexible, web-based PV-permitting tool for residential systems at no-cost to AHJs. -Enable standardization of instant permitting processes. -Evaluate applications for safety and code compliance. -Offer opportunities to incorporate energy storage and expand to other market segments.

Cook, Jeffrey↗
DOE OSTI2019

Rooftop Photovoltaic Technical Potential in the United States

This data submission contains a workbook with data, and three sets of shapefiles that correspond to that data. The workbook contains data that underlies the 2016 technical report Rooftop Solar Photovoltaic Technical Potential in the United States: A Detailed Assessment. This data is separated into small, medium, and large buildings. A small building is less than 5,000 square feet, a medium building is between 5,000 and 25,000 square feet, and a large building is greater than 25,000 square feet. The suitability of roof area for hosting PV was determined based on shading (energy production not less than 70% of an identical unshaded system in the same location), tilt (no greater than 60 degree tilt), azimuth (not facing north), and contiguous roof area (at least 10 square meters available) criteria. For further documentation of methods and assumptions, see the 2016 report. The tab Rooftop_PV_with_Lidar_Coverage contains estimates for zip codes where at least some lidar data was available. The zip_percentage column indicates the percentage of area of each zip code was covered by lidar data -- only buildings within the covered area are reported here, meaning that the values for incompletely covered zip codes are under-reported. The tab Small_Building_Suitability contains estimates of the number of small buildings and the percentage of those buildings that have at least some area that is suitable for rooftop PV, for all zip codes in the contiguous US. Where lidar data was not available, a model was used to estimate the data. Estimates for medium and large buildings were not produced at the zip code level, because of insufficient input data.

14 SOLAR ENERGY↗
DOE OSTI2019

2019 Annual Technology Baseline ATB Cost and Performance Data for Electricity Generation Technologies

Starting in 2015 NREL has presented the Annual Technology Baseline ATB in an Excel workbook that contains detailed cost and performance data both current and projected for renewable and conventional technologies. The workbook includes a spreadsheet for each technology. This updated version of the workbook provides data for the 2019 ATB. This year NREL is also providing a packaged Tableau workbook and structured summary csv files. A website documents this data at https://atb.nlr.gov .

13 HYDRO ENERGY↗
DOE OSTI2019

U.S. Solar Photovoltaic System Cost Benchmark Q1 2018

NREL has been modeling U.S. photovoltaic PV system costs since 2009. The U.S. Solar Photovoltaic System CostBenchmark Q1 2018 report benchmarks costs of U.S. solar PV for residential commercial and utility-scale systems built in the first quarter of 2018 Q1 2018. THE methodology includes bottom-up accounting for all system and project-development costs incurred when installing residential commercial and utility-scale systems and it models the capital costs for such systems.

14 SOLAR ENERGY↗
DOE OSTI2018

Rules of the rooftop: Platform design and price reductions in an online solar photovoltaic marketplace in the United States

Residential solar photovoltaic (PV) customers typically obtain price quotes directly from installers, a process with high consumer search costs that enable price dispersion and can discourage adoption. Recently, however, customers are increasingly shopping for PV using third-party online platforms that make it easier to obtain and compare quotes from multiple installers. While early evidence indicates that these platforms make the PV market more transparent and lower prices, the literature suggests that market outcomes are critically linked to detailed aspects of platform design. In this study, we econometrically analyze a unique dataset of quotes offered in the online PV marketplace EnergySage to investigate how four changes to the platform design have influenced quote prices and transaction prices. We find that the largest reductions in quote prices ($0.11/ W) and transaction prices ($0.15/W) were associated with the introduction of a price guidance information feature for installers. While educating and informing customers has repeatedly emerged as a policy priority for bolstering PV markets, these results suggest that the same should be true on the supply side. We also find that customers are willing to pay higher transaction prices for systems with higher-quality panels, dispelling concerns that online PV marketplaces lead to a 'race to the bottom' phenomenon by emphasizing price at the expense of quality.

14 SOLAR ENERGY↗
DOE OSTI2018

Q1/Q2 2018 Solar Industry Update

Each quarter, the National Renewable Energy Laboratory (NREL) conducts a presentation of technical trends within the solar industry, which became publicly available in October 2016. Each presentation focuses on global and U.S. supply and demand, module and system price, investment trends and business models, and updates on U.S. government programs supporting the solar industry.

14 SOLAR ENERGY↗
DOE OSTI2018

Solar plus: A review of the end-user economics of solar PV integration with storage and load control in residential buildings

Batteries and load control devices can increase the value of distributed solar photovoltaics (PV) from multiple perspectives - end-user, utility, and social. This review paper summarizes the end-user economics of battery and load control technologies that increase the value of PV by controlling and temporally shifting PV output, an approach referred to as 'solar plus.' Solar plus can increase on-site PV use. The literature shows that these values justify the incremental costs of solar plus devices for a wide variety of technologies, geographies, and customer load profiles, especially for customers in three rate structure contexts: where PV is sold to the grid at a lower value than the customer's retail rate, in time-of-use rates where peak periods do not coincide with PV output, and in demand charge rates where load peaks do not coincide with PV output. Rate structure and policy reform may be necessary to ensure that increasing solar plus deployment provides both end-user and system-level benefits.

14 SOLAR ENERGY↗
DOE OSTI2018

A data mining approach to estimating rooftop photovoltaic potential in the US

This paper aims to quantify the amount of suitable rooftop area for photovoltaic (PV) energy generation in the continental United States (US). The approach is data-driven, combining Geographic Information Systems analysis of an extensive dataset of Light Detection and Ranging (LiDAR) measurements collected by the Department of Homeland Security with a statistical model trained on these same data. The model developed herein can predict the quantity of suitable roof area where LiDAR data is not available. This analysis focuses on small buildings (1000 to 5000 square feet) which account for more than half of the total available rooftop space in these data (58%) and demonstrate a greater variability in suitability compared to larger buildings which are nearly all suitable for PV installations. This paper presents new results characterizing the size, shape and suitability of US rooftops with respect to PV installations. Overall 28% of small building roofs appear suitable in the continental United States for rooftop solar. Nationally, small building rooftops could accommodate an expected 731 GW of PV capacity and generate 926 TWh/year of PV energy on 4920 km2 of suitable rooftop space which equates to 25% the current US electricity sales.

29 ENERGY PLANNING, POLICY, AND ECONOMY↗
DOE OSTI2018

2018 Annual Technology Baseline ATB Cost and Performance Data for Electricity Generation Technologies - Interim Data Without Geothermal Updates

Each year since 2015 NREL has presented Annual Technology Baseline ATB in a workbook that contains detailed cost and performance data both current and projected for renewable and conventional technologies. The workbook includes a spreadsheet for each technology. This workbook provides data for the 2018 ATB. Geothermal updates await publication of GeoVision.In this edition of the ATB two financial assumptions cases are provided 1 effects of research and development alone 2 effects of research and development as well as market conditions.

13 HYDRO ENERGY↗
DOE OSTI2018

The value of price transparency in residential solar photovoltaic markets

Installed prices for residential solar photovoltaic (PV) systems have declined significantly in recent years. However price dispersion and limited customer access to PV quotes prevents some prospective customers from obtaining low price offers. This study shows that improved customer access to prices - also known as price transparency - is a potential policy lever for further PV price reductions. We use customer search and strategic pricing theory to show that PV installation companies face incentives to offer lower prices in markets with more price transparency. We test this theoretical framework using a unique residential PV quote dataset. Our results show that installers offer lower prices to customers that are expected to receive more quotes. Our study provides a rationale for policies to improve price transparency in residential PV markets.

14 SOLAR ENERGY↗
DOE OSTI2018

Solar plus: Optimization of distributed solar PV through battery storage and dispatchable load in residential buildings

As utility electricity rates evolve, pairing solar photovoltaic (PV) systems with battery storage has potential to ensure the value proposition of residential solar by mitigating economic uncertainty. In addition to batteries, load control technologies can reshape customer load profiles to optimize PV system use. The combination of PV, energy storage, and load control provides an integrated approach to PV deployment, which we call 'solar plus'. The U.S. National Renewable Energy Laboratory's Renewable Energy Optimization (REopt) model is utilized to evaluate cost-optimal technology selection, sizing, and dispatch in residential buildings under a variety of rate structures and locations. The REopt model is extended to include a controllable or 'smart' domestic hot water heater model and smart air conditioner model. We find that the solar plus approach improves end user economics across a variety of rate structures - especially those that are challenging for PV - including lower grid export rates, non-coincident time-of-use structures, and demand charges.

14 SOLAR ENERGY↗
DOE OSTI2018

Solar on the rise: How cost declines and grid integration shape solar’s growth potential in the United States

During the past decade, solar power has experienced transformative price declines, enabling it to become a viable electricity source that is supplying 1% of U.S. and world electricity. Further cost reductions are expected to enable substantially greater solar deployment, and new Department of Energy cost targets for utility-scale photovoltaics (PV) and concentrating solar thermal power are $0.03/kW h and $0.05/kW h by 2030, respectively. However, cost reductions are no longer the only significant challenge for PV - addressing grid integration challenges and increasing grid flexibility are critical as the penetration of PV electricity on the grid increases. The development of low cost energy storage is particularly synergistic with low cost PV, as cost declines in each technology are expected to support greater market opportunities for the other.

14 SOLAR ENERGY↗
DOE OSTI2017

The impact of retail electricity tariff evolution on solar photovoltaic deployment

Here, this analysis explores the impact that the evolution of retail electricity tariffs can have on the deployment of solar photovoltaics. It suggests that ignoring the evolution of tariffs resulted in up to a 36% higher prediction of the capacity of distributed PV in 2050, compared to scenarios that represented tariff evolution. Critically, the evolution of tariffs had a negligible impact on the total generation from PV $-$ both utility-scale and distributed $-$ in the scenarios that were examined.

14 SOLAR ENERGY↗
DOE OSTI2017

U.S. Solar Photovoltaic System Cost Benchmark: Q1 2017

NREL has been modeling U.S. photovoltaic (PV) system costs since 2009. This year, our report benchmarks costs of U.S. solar PV for residential, commercial, and utility-scale systems built in the first quarter of 2017 (Q1 2017). Costs are represented from the perspective of the developer/installer, thus all hardware costs represent the price at which components are purchased by the developer/installer, not accounting for preexisting supply agreements or other contracts. Importantly, the benchmark this year (2017) also represents the sales price paid to the installer; therefore, it includes profit in the cost of the hardware, along with the profit the installer/developer receives, as a separate cost category. However, it does not include any additional net profit, such as a developer fee or price gross-up, which are common in the marketplace. We adopt this approach owing to the wide variation in developer profits in all three sectors, where project pricing is highly dependent on region and project specifics such as local retail electricity rate structures, local rebate and incentive structures, competitive environment, and overall project or deal structures.

14 SOLAR ENERGY↗
DOE OSTI2017

U.S. Solar Photovoltaic System Cost Benchmark: Q1 2017

This report benchmarks U.S. solar photovoltaic (PV) system installed costs as of the first quarter of 2017 (Q1 2017). We use a bottom-up methodology, accounting for all system and projectdevelopment costs incurred during the installation to model the costs for residential, commercial, and utility-scale systems. In general, we attempt to model the typical installation techniques and business operations from an installed-cost perspective. Costs are represented from the perspective of the developer/installer; thus, all hardware costs represent the price at which components are purchased by the developer/installer, not accounting for preexisting supply agreements or other contracts. Importantly, the benchmark also represents the sales price paid to the installer; therefore, it includes profit in the cost of the hardware, 1 along with the profit the installer/developer receives, as a separate cost category. However, it does not include any additional net profit, such as a developer fee or price gross-up, which is common in the marketplace. We adopt this approach owing to the wide variation in developer profits in all three sectors, where project pricing is highly dependent on region and project specifics such as local retail electricity rate structures, local rebate and incentive structures, competitive environment, and overall project or deal structures. Finally, our benchmarks are national averages weighted by state installed capacities.

14 SOLAR ENERGY↗