A multi-service approach for planning the optimal mix of energy storage technologies in a fully-renewable power supply

2018 ◽  
Vol 178 ◽  
pp. 355-368 ◽  
Author(s):  
J. Haas ◽  
F. Cebulla ◽  
W. Nowak ◽  
C. Rahmann ◽  
R. Palma-Behnke
Keyword(s):  
Energy Storage ◽  
Power Supply ◽  
Renewable Power ◽  
Optimal Mix ◽  
Storage Technologies

Optimal Energy Storage Portfolio for High and Ultrahigh Carbon-Free and Renewable Power Systems

2021 ◽  
Author(s):  
Omar J Guerra ◽  
Joshua Eichman ◽  
Paul Denholm
Keyword(s):  
Energy Storage ◽  
Power Systems ◽  
Short Duration ◽  
Current Literature ◽  
Optimal Energy ◽  
Renewable Power ◽  
Long Duration ◽  
Storage Technologies

Achieving 100% carbon-free or renewable power systems can be facilitated by the deployment of energy storage technologies at all timescales, including short-duration, long-duration, and seasonal scales; however, most current literature...

scholarly journals Interaction of Electrical Energy Storage, Flexible Bioenergy Plants and System-friendly Renewables in Wind- or Solar PV-dominated Regions

Energies ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1133 ◽  
Author(s):  
Philip Tafarte ◽  
Annedore Kanngießer ◽  
Martin Dotzauer ◽  
Benedikt Meyer ◽  
Anna Grevé ◽  
...  
Keyword(s):  
Energy Storage ◽  
Power Supply ◽  
Time Series Data ◽  
Electrical Energy ◽  
Series Data ◽  
Optimization Approach ◽  
Solar Pv ◽  
Electrical Energy Storage ◽  
Renewable Power ◽  
Generation Capacity

Wind and solar PV have become the lowest-cost alternatives for power generation in many countries and are expected to dominate the renewable power supply in many regions of the world. The temporal volatility in power production from these sources leads to new challenges for a stable and secure power supply system. Possible technologies to improve the integration of wind and solar PV are electrical energy storage and the flexible power provision by bioenergy. A third option is the system-friendly layout of wind and solar PV systems and the optimized mix of wind and solar PV capacities. To assess these different options at hand, a case study was conducted covering various scenarios for a regional power supply based on a high share of wind and solar PV. State-of-the-art concepts for all the stated technologies are modelled and a numerical optimization approach is applied on temporally-resolved time series data to identify the potential role of each option and their respective interactions. Power storage was found to be most relevant in solar dominated systems, due to the diurnal generation pattern, whereas bioenergy is more suitably combined with high wind power shares due to the less regular generation pattern. System-friendly wind and solar power can reduce the need for generation capacity and flexible options by fitting generation and demand patterns better.

scholarly journals A General Model for Estimating Emissions from Integrated Power Generation and Energy Storage. Case Study: Integration of Solar Photovoltaic Power and Wind Power with Batteries

Processes ◽  
2018 ◽  
Vol 6 (12) ◽  
pp. 267 ◽  
Author(s):  
Ian Miller ◽  
Emre Gençer ◽  
Francis O’Sullivan
Keyword(s):  
Power Generation ◽  
Energy Storage ◽  
Wind Power ◽  
Ghg Emissions ◽  
Lithium Ion ◽  
Storage Technology ◽  
Renewable Power ◽  
Variable Nature ◽  
Storage Technologies

The penetration of renewable power generation is increasing at an unprecedented pace. While the operating greenhouse gas (GHG) emissions of photovoltaic (PV) and wind power are negligible, their upstream emissions are not. The great challenge with the deployment of renewable power generators is their intermittent and variable nature. Current electric power systems balance these fluctuations primarily using natural gas fired power plants. Alternatively, these dynamics could be handled by the integration of energy storage technologies to store energy during renewable energy availability and discharge when needed. In this paper, we present a model for estimating emissions from integrated power generation and energy storage. The model applies to emissions of all pollutants, including greenhouse gases (GHGs), and to all storage technologies, including pumped hydroelectric and electrochemical storage. As a case study, the model is used to estimate the GHG emissions of electricity from systems that couple photovoltaic and wind generation with lithium-ion batteries (LBs) and vanadium redox flow batteries (VFBs). To facilitate the case study, we conducted a life cycle assessment (LCA) of photovoltaic (PV) power, as well as a synthesis of existing wind power LCAs. The PV LCA is also used to estimate the emissions impact of a common PV practice that has not been comprehensively analyzed by LCA—solar tracking. The case study of renewables and battery storage indicates that PV and wind power remain much less carbon intensive than fossil-based generation, even when coupled with large amounts of LBs or VFBs. Even the most carbon intensive renewable power analyzed still emits only ~25% of the GHGs of the least carbon intensive mainstream fossil power. Lastly, we find that the pathway to minimize the GHG emissions of power from a coupled system depends upon the generator. Given low-emission generation (<50 gCO2e/kWh), the minimizing pathway is the storage technology with lowest production emissions (VFBs over LBs for our case study). Given high-emission generation (>200 gCO2e/kWh), the minimizing pathway is the storage technology with highest round-trip efficiency (LBs over VFBs).

Flexible Natural Gas/Intermittent Renewable Hybrid Power Plants

2017 ◽  
Author(s):  
Michael Welch ◽  
Andrew Pym
Keyword(s):  
Power Generation ◽  
Energy Storage ◽  
Power Plant ◽  
Natural Gas ◽  
Gas Turbines ◽  
Fossil Fuel ◽  
Power Transmission ◽  
Hybrid Power ◽  
Renewable Power ◽  
Storage Technologies

Increasing grid penetration of intermittent renewable power from wind and solar is creating challenges for the power industry. There are times when generation from these intermittent sources needs to be constrained due to power transmission capacity limits, and times when fossil fuel power plant are required to rapidly compensate for large power fluctuations, for example clouds pass over a solar field or the wind stops blowing. There have been many proposals, and some actual projects, to store surplus power from intermittent renewable power in some form or other for later use: Batteries, Compressed Air Energy Storage (CAES), Liquid Air Energy Storage (LAES), heat storage and Hydrogen being the main alternatives considered. These technologies will allow power generation during low periods of wind and solar power, using separate discrete power generation plant with specifically designed generator sets. But these systems are time-limited so at some point, if intermittent renewable power generation does not return to its previous high levels, fossil fuel power generation, usually from a large centralized power plant, will be required to ensure security of supplies. The overall complexity of such a solution to ensure secure power supplies leads to high capital costs, power transmission issues and potentially increased carbon emissions to atmosphere from the need to keep fossil fuel plant operating at low loads to ensure rapid response. One possible solution is to combine intermittent renewables and energy storage technologies with fast responding, flexible natural gas-fired gas turbines to create a reliable, secure, low carbon, decentralized power plant. This paper considers some hybrid power plant designs that could combine storage technologies and gas turbines in a single location to maximize clean energy production and reduce CO2 emissions while still providing secure supplies, but with the flexibility that today’s grid operators require.

Energy Storage, Renewable Power Generation, and the Grid: NREL Capabilities Help to Develop and Test Energy-Storage Technologies

2015 ◽  
Vol 3 (3) ◽  
pp. 30-40 ◽  
Author(s):  
Zhiwen Ma ◽  
Ahmad Pesaran ◽  
Vahan Gevorgian ◽  
Don Gwinner ◽  
William Kramer
Keyword(s):  
Power Generation ◽  
Energy Storage ◽  
Renewable Power ◽  
Renewable Power Generation ◽  
Storage Technologies
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