Storage Futures Study: Distributed Solar and Storage Outlook: Methodology and Scenarios

Prasanna, Ashreeta; McCabe, Kevin; Sigrin, Ben; Blair, Nate

doi:10.2172/1811650

Cited by 14 publications

(22 citation statements)

References 17 publications

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“…The technical potential for rooftop PV is 1,118 GW (Gagnon et al 2016), so there may be additional opportunities beyond the 190 GW deployed in this study (Prasanna et al 2021). Distributed wind has a similarly large technical and economic potential (McCabe et al 2022), as well as the potential to scale to 40 GW (Lantz et al 2016) from the 1.1 GW installed in 2020 (Orrell, Kazimierczuk, and Sheridan 2021).…”

Section: Text Box 4 the Role Of Distributed Resourcesmentioning

confidence: 94%

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Examining Supply-Side Options to Achieve 100% Clean Electricity by 2035

Denholm

Brown

Cole

et al. 2022

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This report is available at no cost from the National Renewable Energy Laboratory at www.nrel.gov/publications. 100% Clean Electricity by 2035 ScenariosWe evaluated four main 100% clean electricity scenarios, which were each compared to two reference scenarios: one with "current policy" electricity demand (Reference-AEO) 2 and a second with much higher load growth through accelerated demand electrification (Reference-ADE). The Reference-ADE case includes rapid replacement of fossil fuel use with low-carbon alternatives across all sectors, including electrified end uses and low-carbon fuels and feedstocks, Annual Energy Outlook (AEO) and the U.S. Long-Term Strategy (LTS) demand cases Supply-side sensitivities include renewable energy costs, storage costs, nuclear costs, electrolyzer costs, CCS cost and performance, transmission constraints, new natural gas restriction, natural gas fuel costs, expanded biomass supply, low-cost geothermal, and allowing DAC in the Infrastructure Renaissance and Constrained cases. xvThis report is available at no cost from the National Renewable Energy Laboratory at www.nrel.gov/publications. This report is available at no cost from the National Renewable Energy Laboratory at www.nrel.gov/publications.14 Given the reduction in motor gasoline and diesel fuels in the transportation sector under the ADE and LTS scenarios, this demand would likely decline over time. Hydrogen production to serve these needs is also expected to transition to lower-emissions pathways given the overall economywide decarbonization trajectory modeled under the scenarios. These dynamics are not modeled explicitly in our analysis.

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Section: Text Box 4 the Role Of Distributed Resourcesmentioning

confidence: 94%

“…Distributed batteries can also provide many of the grid services offered by storage located in the bulk system, as well as additional distribution system and resilience benefits (Prasanna et al 2021).…”

Section: Text Box 4 the Role Of Distributed Resourcesmentioning

confidence: 99%

Examining Supply-Side Options to Achieve 100% Clean Electricity by 2035

Denholm

Brown

Cole

et al. 2022

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“…Scenarios (Prasanna et al 2021) Assesses the customer adoption of distributed diurnal storage for several future scenarios and the implications for the deployment of distributed generation and power system evolution.…”

Section: Distributed Storage Customer Adoptionmentioning

confidence: 99%

Storage Futures Study: Key Learnings for the Coming Decades

Blair¹,

Augustine²,

Cole³

et al. 2022

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“…The semi-autonomy of these devices leads to more complex electric network operation scenarios as it implies the very likelihood of their sudden connection or disconnection that consequently causes a powerflow redistribution or momentary disequilibrium which could gradually intensify and eventually cause instability. Hence, extensive utility-scale battery energy storage systems (BESSs) are envisioned for voltage and frequency support [3], and some work with aggregated units have been carried out [4], [5]. To gain an accurate This work is supported by the Natural Science and Engineering Research Council of Canada (NSERC).…”

Section: Introductionmentioning

confidence: 99%

Massively Parallel Modeling of Battery Energy Storage Systems for AC/DC Grid High-Performance Transient Simulation

Lin

Cao

Dinavahi

2023

IEEE Trans. Power Syst.

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Extensive integration of power electronics apparatuses complicates the modern power grid and consequently necessitates time-domain transients study for its planning and operation. In this work, a heterogeneous computing architecture utilizing the CPU and graphics processing unit (GPU) is proposed for the efficient study of interactions between a power grid network and massive utility-scale battery energy storage systems (BESSs). The device-level electromagnetic transient (EMT) simulation aiming at enhanced fidelity of the BESS is conducted simultaneously with electro-mechanical transient stability (TS) simulation which suffices system-level dynamic security assessment. Since the reservation of a large amount of energy storage units is computationally intensive for the CPU, the concurrent multi-streaming, multi-threading capability of GPU is exploited to achieve asynchronous sequential-parallel processing, so that the proposed EMT-TS co-simulation can flexibly harness all available computing resources. The multi-rate scheme is adopted for further computational burden alleviation in addition to achieving timely information exchange. It shows that the heterogeneous computation of an IEEE 118-bus system integrated with a substantial number of distributed batteries becomes feasible following the achievement of a remarkable speedup of over 200, and the device-as well as system-level accuracy are validated by MATLAB/Simulink ® and DSATools TM /TSAT simulation, respectively.

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Storage Futures Study: Distributed Solar and Storage Outlook: Methodology and Scenarios

Abstract: U.S. Department of Energy (DOE) reports produced after 1991 and a growing number of pre-1991 documents are available free via www.OSTI.gov.

Cited by 14 publications

References 17 publications

Examining Supply-Side Options to Achieve 100% Clean Electricity by 2035

Examining Supply-Side Options to Achieve 100% Clean Electricity by 2035

Storage Futures Study: Key Learnings for the Coming Decades

Massively Parallel Modeling of Battery Energy Storage Systems for AC/DC Grid High-Performance Transient Simulation

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