High resolution global spatiotemporal assessment of rooftop solar photovoltaics potential for renewable electricity generation

Joshi, Siddharth; Mittal, Shivika; Holloway, Paul A.; Shukla, P.R.; Gallachóir, Brian Ó; Glynn, James

doi:10.1038/s41467-021-25720-2

Cited by 112 publications

(59 citation statements)

References 58 publications

(57 reference statements)

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“…Reference [35] presented an assessment of the potential of solar rooftop photovoltaics using big data machine learning and geospatial analysis. Their results showed that the cost of attaining the potential is lowest in India (66$MWh −1 ) and China (68$MWh −1 ), with the USA (238$MWh −1 ) and UK (251$MWh −1 ) representing some of the costliest countries.…”

Section: Literature Reviewmentioning

confidence: 99%

Trends in Renewable Electricity Generation in the G20 Countries: An Analysis of the 1990–2020 Period

et al. 2022

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The use of electricity from non-renewable sources increases environmental impacts. Therefore, several countries have committed to increase the use of renewable sources. Considering the importance of the Group of Twenty (G20), this article aims to identify trends in renewable electricity supply in these countries. The data collected are from the International Energy Agency (IEA) between 1990 and 2020. The methods measured the production of each type of electricity in the G20 matrices and identified the influence of the population, Gross Domestic Product (GDP), and CO2 emissions in renewable electricity production using multiple linear regression. In terms of results, Brazil and Canada have the most renewable electricity matrices and higher per capita renewable production than non-renewable. Saudi Arabia presented the smallest renewable matrix throughout the analyzed period. All 20 countries have varied electrical production, with different amounts of solar, wind, hydro, biomass, geothermal, and tidal energy. Countries with the highest GDP are not necessarily the largest producers of renewable electricity. Hydroelectric energy, the biggest highlight in renewable production, is making room for other sources such as wind and solar, which grew the most in terms of participation in the electrical matrices. The waste, geothermal, and tidal energy participation have shown a timid but constant growth.

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Section: Literature Reviewmentioning

confidence: 99%

Trends in Renewable Electricity Generation in the G20 Countries: An Analysis of the 1990–2020 Period

et al. 2022

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“…where CVaR for a random variable is defined in (1). If W has a smooth cumulative distribution function, the above constraint imposes that the probability of violating the upper bound on voltage magnitudes is bounded above by 1 − ν and the expectation of W − W over its ν-tail is bounded above by zero.…”

Section: Cvar-sensitive Hca Problemsmentioning

confidence: 99%

“…The feasible set for this dual problem is a convex cone. 1 Call the objective function of this problem as D(λ, µ, µ 1 , µ 2 ; ψ). Then, for any feasible λ…”

Section: An Incremental Algorithm To Solve a C (ψ)mentioning

confidence: 99%

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Conditional Value at Risk-Sensitive Solar Hosting Capacity Analysis in Distribution Networks

Madavan¹,

Dahlin²,

Bose³

et al. 2022

Preprint

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Solar hosting capacity analysis (HCA) assesses the ability of a distribution network to host distributed solar generation without seriously violating distribution network constraints. In this paper, we consider risk-sensitive HCA that limits the risk of network constraint violations with a collection of scenarios of solar irradiance and nodal power demands, where risk is modeled via the conditional value at risk (CVaR) measure. First, we consider the question of maximizing aggregate installed solar capacities, subject to risk constraints and solve it as a secondorder cone program (SOCP) with a standard conic relaxation of the feasible set with power flow equations. Second, we design an incremental algorithm to decide whether a configuration of solar installations has acceptable risk of constraint violations, modeled via CVaR. The algorithm circumvents explicit risk computation by incrementally constructing inner and outer polyhedral approximations of the set of acceptable solar installation configurations from prior such tests conducted. Our numerical examples study the impact of risk parameters, the number of scenarios and the scalability of our framework.

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“…5 Globally, it has been estimated that there is 27 PWh yr -1 of rooftop electricity generation potential. 6 Research on new photovoltaic concepts 7 can open up pathways to the efficiency regime beyond the detailed-balance "barrier," enabling even more solar energy potential with less area, rooftop or land, required, and therefore less ecological and other impact. To that end, we invite submissions to our special section on Novel Photovoltaic Device Architectures, 8 which will showcase new device architectures, materials, and photon management strategies to help propel the field into a new era of high-efficiency devices.…”

mentioning

confidence: 99%

Continued Need for Higher Efficiency Photovoltaics

Shaheen

2021

J. Photon. Energy

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As reported by the EIA last year, 1 solar photovoltaics (PV) are now the cheapest form of energy in most parts of the world. PV installations continue to accelerate with a record 134 GW of capacity installed and 821 TWh of energy generated in 2020. 2 However, the Net Zero Emission by 2050 Scenario will require 7000 TWh of generation by 2030, a difficult task given that it will require an average growth rate of 24% per year for the remainder of this decade. 2 The challenges to sustaining this level of growth may come from a number of areas, including the need for continued cost reductions in PV as measured by their levelized cost of electricity, 3 development of a circular economy for PV materials and devices as they begin to age and need replaced, and build-out of the necessary electricity grid and storage capabilities on national and global scales.Underlying these broader issues is of course the power conversion efficiency of the photovoltaic device itself. Although silicon PV technology has been able to drive the tremendous progress over the last decade with module efficiencies of ∼20%, and it will continue to dominate the solar energy industry for the foreseeable future, there will be continued need to increase efficiencies to provide more power production per area from sunlight. It is a unique aspect of photovoltaic science that the efficiency limit with typical, single absorber, devices is seemingly low, ∼33% power conversion efficiency according to detailed balance of absorption and emission. 4 That large-scale, commercial silicon PV can reach reasonably close to this value is a wonder of modern technology and industry. However, what can be non-intuitive to new students in the field is that this efficiency is sufficient for a photovoltaic panel to generate 100s of watts per square meter under 1-sun illumination, making solar energy viable as a large-scale and costeffective power source. For instance, ∼40% of the electricity needs of the U.S. could be met by roof-mounted solar panels of ∼16% efficiency. 5 Globally, it has been estimated that there is 27 PWh yr -1 of rooftop electricity generation potential. 6 Research on new photovoltaic concepts 7 can open up pathways to the efficiency regime beyond the detailed-balance "barrier," enabling even more solar energy potential with less area, rooftop or land, required, and therefore less ecological and other impact. To that end, we invite submissions to our special section on Novel Photovoltaic Device Architectures, 8 which will showcase new device architectures, materials, and photon management strategies to help propel the field into a new era of high-efficiency devices. Now is the time for the field to utilize advances in our understanding of thermodynamic principles of solar energy conversion, in the synthesis and characterization of nanoscale structures, and in the use of quickly developing computational and machine learning tools, to take the field of photovoltaics to the next level.

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High resolution global spatiotemporal assessment of rooftop solar photovoltaics potential for renewable electricity generation

Cited by 112 publications

References 58 publications

Trends in Renewable Electricity Generation in the G20 Countries: An Analysis of the 1990–2020 Period

Trends in Renewable Electricity Generation in the G20 Countries: An Analysis of the 1990–2020 Period

Conditional Value at Risk-Sensitive Solar Hosting Capacity Analysis in Distribution Networks

Continued Need for Higher Efficiency Photovoltaics

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