ETFOptimize | High-performance ETF-based Investment Strategies

Quantitative strategies, Wall Street-caliber research, and insightful market analysis since 1998.


ETFOptimize | HOME
Close Window

New utility-scale solar needs far less land than a decade ago, LBNL says

Improved power and energy densities mean utility-scale solar is less land-intensive than a decade ago.

Utility-scale solar energy deployments are not as land intensive as they were a decade ago, thanks to improved power and energy densities. As a result, developers and others who turn to older benchmarks for solar module power and energy density will “significantly overstate” land requirements.

Those are the findings of a new study by researchers at the U.S. Department of Energy’s Lawrence Berkeley National Laboratory and Bowdoin College.

The paper was published in the IEEE Journal on Photovoltaics and found that both power and energy density have “increased significantly” over the past decade.

Udated benchmarks as of 2019 that were established by the study are as follows:

Power density: 0.35 MWDC /acre (0.87 MWDC /hectare) for fixed-tilt and 0.24 MWDC /acre (0.59 MWDC /hectare) for tracking plants.

Energy density: 447 MWh/year/acre (1.10 GWh/year/ hectare) for fixed-tilt and 394 MWh/year/acre (0.97 GWh/year/hectare) for tracking plants.

The paper also expressed power density in AC capacity terms. Those numbers are 0.28 MWAC /acre (0.69 MWAC /hectare) for fixed-tilt and 0.18 MWAC/acre (0.45 MWAC/hectare) for tracking plants. The authors said they prefer to work in terms of DC, but offered the AC conversion for purposes of comparison against the densities of other utility-scale generation sources, which are typically expressed in AC terms.

Source: LBNL

The authors said that concerns about the land requirements and land-use impacts of utility-scale PV have grown as deployment has accelerated and as decarbonization plans call for the solar sector’s rapid expansion. Backlash has grown as utility-scale solar projects are proposed for existing farmland. Places like Virginia and Ohio have become hotbeds for rural interests that are opposed to solar power plants’ expansion.

The researchers also said the amount of land required to build a utility-scale PV plant is also an important cost consideration. Other PV plant costs (such as for modules and inverters) tend to decline with greater deployment due to learning and economies of scale.

By contrast, land costs are “perhaps more likely to increase” with greater deployment as competition for prime sites intensifies, the authors said. Both concerns—expanded land requirements and land-use impacts, as well as rising land costs—can be mitigated by increasing the power and energy densities of utility-scale PV.

The authors said their study provides what may be the first major update of utility-scale PV’s power and energy densities in nearly a decade. They based their work on a sample of ground-mounted PV plants larger than 5 MW-AC that were built in the United States from 2007-2019. The sample included 736 plants totaling 35,482 MWDC (27,001 MWAC) that came online from 2007 to 2019 across 38 states. The sample includes 92% of the total universe of utility-scale PV plants in the United States that achieved commercial operations from 2007 to 2019

The researchers used ArcGIS to draw polygons around satellite imagery of each plant within the sample, and to calculate the area occupied by each polygon. When combined with plant metadata, these polygon areas allowed the researchers to calculate power (expressed in MW/acre) and energy (MWh/year/acre) density for each plant in the sample, and to analyze density trends over time, by fixed-tilt versus tracking plants, and by plant latitude and site irradiance.

Based on their study, the authors said that the median power density increased by 52% for fixed-tilt plants and 43% for tracking plants from 2011 through 2019. Meanwhile, the median energy density rose by 33% for fixed-tilt and 25% for tracking plants over the same period.

The study may be accessed here.

Data & News supplied by www.cloudquote.io
Stock quotes supplied by Barchart
Quotes delayed at least 20 minutes.
By accessing this page, you agree to the following
Privacy Policy and Terms and Conditions.


 

IntelligentValue Home
Close Window

DISCLAIMER

All content herein is issued solely for informational purposes and is not to be construed as an offer to sell or the solicitation of an offer to buy, nor should it be interpreted as a recommendation to buy, hold or sell (short or otherwise) any security.  All opinions, analyses, and information included herein are based on sources believed to be reliable, but no representation or warranty of any kind, expressed or implied, is made including but not limited to any representation or warranty concerning accuracy, completeness, correctness, timeliness or appropriateness. We undertake no obligation to update such opinions, analysis or information. You should independently verify all information contained on this website. Some information is based on analysis of past performance or hypothetical performance results, which have inherent limitations. We make no representation that any particular equity or strategy will or is likely to achieve profits or losses similar to those shown. Shareholders, employees, writers, contractors, and affiliates associated with ETFOptimize.com may have ownership positions in the securities that are mentioned. If you are not sure if ETFs, algorithmic investing, or a particular investment is right for you, you are urged to consult with a Registered Investment Advisor (RIA). Neither this website nor anyone associated with producing its content are Registered Investment Advisors, and no attempt is made herein to substitute for personalized, professional investment advice. Neither ETFOptimize.com, Global Alpha Investments, Inc., nor its employees, service providers, associates, or affiliates are responsible for any investment losses you may incur as a result of using the information provided herein. Remember that past investment returns may not be indicative of future returns.

Copyright © 1998-2017 ETFOptimize.com, a publication of Optimized Investments, Inc. All rights reserved.