Posted on

Rapid imaging of ion dynamics in battery materials

Particles in lithium-ion batteries are crucial for releasing positively and negatively charged lithium ions. The migration of these ions is a limiting factor for the batteries’ charge and discharge cycles. To develop fast charging batteries, engineers and scientists need to understand how ions in batteries travel. Now, researchers at the University of Cambridge published in the prestigious journal Nature an imaging approach that follows ion movement in functional battery materials in real-time. This technology helps to better understand how lithium-ion batteries work at sub-micrometer sizes and ultimately to construct batteries that charge in only a few minutes.

Scientists need to understand the ion dynamics of active particles to build better batteries but also other galvanic cells such as fuel cells or electrolyzers. Hitherto, traditional approaches for studying lithium-ion dynamics could not trace the rapid changes that occur in batteries that charge in minutes at sub-micrometer precision.

The problem

In lithium-ion batteries, two porous electrodes (positive and negative) are comprised of active particles: carbon, a metal oxide and a binder. The carbon and metal oxides act as electron conductors, while the binder glues the particles to hold the materials together. An electrolyte separates the two electrodes of the battery and acts as a conduit for ions to travel from one electrode to the other.

Engineers need to image the relevant physical and chemical interactions at least ten times faster than the operation time to track the internal ion dynamics of batteries for each of these processes. This is similar to choosing a camera shutter speed appropriate for filming sports – if the shutter speed is too slow, the camera will generate hazy images. The geometry of the active particles and the structure of the porous electrodes are of particular interest for battery development.

Each battery imaging technique has a unique image capture time, defining which battery functions can be accurately recorded. Previously existing approaches take a few minutes to collect an image; therefore, they can only catch processes that take many hours to complete.

Which is the new concept?

Notably, the researchers’ novel technique takes less than a second to acquire a picture, allowing for considerably faster processes to be studied than previously feasible. As an imaging tool, it is also capable of studying batteries while in use and has a sufficient spatial resolution. This sub micrometer resolution is required to track what happens in an active particle. Furthermore, by comparing the evolution of ion concentration in active particles spatially separated in the electrode, the approach can map ion dynamics at the electrode scale.

Methodology

The research team adapted an optical microscopy approach previously used in biology to follow lithium-ion mobility in active battery materials. This method involves passing a laser beam at electrochemically active battery particles storing or releasing lithium ions and then analyzing the scattered light. As additional lithium is stored, the local concentration of electrons in these particles varies. This changes the scattering pattern. As a result, the local change in lithium concentration correlates with the time development of the scattering signals and can be used to locate the particles.

During charge-discharge cycles, ‘active’ materials in battery electrodes store and release ions. The researchers describe in their publication a real-time imaging approach that uses light scattered from active particles to follow ion concentration changes. The intensity of scattering fluctuates with local ion concentration. In their approach, the evolution of scattering patterns over time indicated the system’s ion dynamics. As additional ions are stored in a particle, the colors of the contours show the change in scattering intensity over the previous 5-second period: red denotes an increase in intensity, while blue suggests a reduction. The shifting patterns correspond to the material’s passage from one phase to the next. When a central domain of one phase shrinks and surrounding domains of another phase grows, broken black lines show phase borders.

Conclusion

The new imaging technique can be used for almost all active materials that store lithium or other ions, suffering electronic changes as the ion concentration changes. Because standard approaches cannot directly track changes in local concentration throughout a particle during fast operation, the time variation of ion concentration in active particles remains poorly understood. The new solution will enable electrochemical engineers to test proposed mechanisms of ion transport in these materials by overcoming the imaging problem.

Limitations to this approach

It should be emphasized that the spatial resolution of the authors’ imaging technique is limited by a basic restriction imposed by the wavelength of the light. Shorter wavelengths are required to resolve finer details. In the presented work, the resolution was around 300 nanometers. Another point to consider is that laser scattering is the result of light interacting with just one object. Another drawback is that scattering results from light interacting with the particle’s first couple of atomic levels. As a result, this method only catches the ion movements in the 2D plane related to these atomic layers. Slower approaches, such as X-ray tomography, can be used to gather 3D information.

Way forward

It will be fascinating to follow up on the authors’ findings for individual particles and investigate porous electrodes under the far-from-equilibrium conditions of fast charging.

This approach could also investigate solid electrolytes, which are intriguing but poorly understood battery materials. Suppose light scattering from solid electrolytes varies with local ion concentration, as it does in active materials. In that case, the approach could be used to map how the ion distribution changes in such electrolytes as electric current travel through them. Other systems involving coupled ion and electron transport, such as catalyst layers in fuel cells and electrochemical gas sensors, could benefit from the optical scattering method as well.

In the future, thorough scattering tests using homogeneous particles could help to quantify the link between the scattering response and lithium-ion concentration. The scattering signals might then be converted to local concentrations using this correlation. However, the link between different materials will not always be the same. Machine-learning approaches could accelerate finding these links and automate light scattering analysis.

The authors’ imaging method also opens up the possibility of measuring chemical and physical (geometric) changes in active particles during battery operation at the same time. The difference between the scattering from a particle and that from other materials in a battery (such as the binder or electrolyte) could be used to determine the particle shape and how it evolves. The time required for light scattering a particle would reveal local changes in lithium concentration. These materials store much more energy than current active materials, and their adoption could reduce battery weight. This would be especially advantageous in electric vehicles, as it would allow for longer driving ranges.

The research provides previously unavailable insights into battery materials working in non-equilibrium situations. Their method for directly monitoring changes in active particles during operation will complement previous approaches that rely on destructive battery tests to infer internal alterations. As a result, it has the potential to transform the battery-design process.

Reference details

Merryweather, et al., 2021 “Operando optical tracking of single-particle ion dynamics in batteries”, Nature, 594, 522–528, doi:10.1038/s41586-021-03584-2

Image: Wikipedia

Posted on

Microbial Power-to-Gas in exhausted oilfields as bridge between renewable and fossil energy

An abandoned or unproductive oilfield can be reused for methane production from CO2 using renew­able electrical power. Exhausted oilfields can be reactors for the conversion of renewable energy to natural gas using microbes. To achieve this, an oilfield can be made electrically conductive and catalytically active to produce natural gas from re­newable power sources. The use of natural gas is superior to any battery because of the existing infra­structure, the use in combustion engines, the high energy density and because it can be recycled from CO2. Oil­fields are superior to any on-ground production because of the enormous storage capaci­ties. They are already well explored and these geological formations underwent environmental risk assessments. Lastly, the microbial power-to-gas technology is already available.

Process summary

Whole process (end-to-end via methane)

50% electrical efficiency

Energy density of methane

180 kWh kg1

Storage capacity per oilfield

3 GWh day1

Charge/Discharge cycles

Unlimited

Investment (electrodes, for high densities)

$51,000 MW1

Cost per kWh (>5,000 hours anode lifetime)

<$0.01 kWh1

Electrolyte

Seawater

The Problem

To address the problem of storing renewable energy, batteries have been proposed as a possible so­lution. Lithium ion batteries have a maximum energy storage capacity of 0.3 kWh kg−1. To date, this is consid­ered the best trade-off between cost and efficiency but these batteries are still too inefficient to replace gasoline, which has a capacity of about 13 kWh kg−1. This makes battery driven cars heavier than conventional cars. Lithium air batteries are considered a possible al­ternative because they can reach theoretical capacities of 12 kWh kg−1 but technical difficulties have prevented them from being used for transportation.

In contrast, methane has an energy density of 52 MJ kg−1 corresponding to 180 kWh kg−1 which is sec­ond only to hydrogen with 500 kWh kg−1, not counting in nuclear energy. This high energy den­sity of methane and other hydrocarbons along with their facile usage, is the reason why they are used in combustion and jet engines that drive nearly all transportation to date. While electrical cars seem to be a tempting green alternative, the fact that combustion engines and the fueling infrastructure are so wide-spread makes it difficult to switch.

In addition to the difficulty of changing habits, battery-driven electrical cars need other limited natural resources such as lithium. To equip all 94 million automobiles produced worldwide in 2017, 3 mega tons lithium carbonate would need to be mined annually⁠. This is nearly 10% of the entire recoverable lithium resources of 35 mega tons worldwide. Although lithium and other met­als can be recycled, it is clear that metal based batteries alone will not build the bridge between green en­ergy and tradi­tional ways of transportation due to the low energy densities of metals. And this does not even take into account other energy de­mands such as industrial nitrogen fixation, aviation or heating.

For Germany, with its high proportion of renewable energy, fuel for cars is not the only problem. As re­newable energy is generated in the north, but many energy consumers are in the south, the grid ca­pacity is frequently reached during peak production hours. A steadier energy output can only be ac­complished by decentralizing the production or by en­ergy storage. To decentralize production, home­owners were en­couraged to equip their property with solar panels or wind­mills. As tax incentives phase out, homeowners face the prob­lem of energy storage. The best product for this group of cus­tomers so far are again lithium ion batteries but investment costs of $0.10 kWh−1 are still unattractive espe­cially be­cause these products store the en­ergy as electricity which can only be used for a short time and is less efficient than natural gas when used for heating.

Natural gas is widely used as energy source today and the global energy infrastructure is designed for natural gas and other fossil fuels. Increasing demand and lim­ited resources for these fossil fuels were the main driv­ers of oil and gas prices during the last years, slowed by the recent economic crises and hydraulic fractur­ing (fracking). The high oil price attracted in­vestors to recover oil using techniques that be­come in­creasingly expensive and are environmental risks such as deep-sea drilling or tar sand extraction. Ironically, the high oil price made costly renew­able ener­gies an economically feasible alterna­tive and helped driving down their cost. Since habits are difficult to change and building an entirely new infrastructure only for renewable energies does not seem economically feasible today while CO2 drives global warming, a more realistic solution needs to be found.

Microbial Power-to-Gas could be a bridging technology that integrates renewable energy into the existing fossil fuel in­frastructure. It reaches break even in less than 2 years if certain preconditions are met. This is ac­complished by integrating methane produced from renewable energy into the current oil and gas pro­ducing infrastructure. The principal idea is to use carbon instead of metals as energy carrier because of its high energy density when bound to hydrogen. The benefits are:

  • High energy density of 180 kWh kg−1 methane
  • Low investments due to existing infrastructure (natural gas, oilfield equipment)
  • Carbon is not a limited resource
  • Low CO2 footprint due to CO2 recycling
  • Methane is a transportation fuel
  • Methane is the energy carrier for the Haber-Bosch process
  • Inexpensive catalysts further reduce initial investments
  • Low temperatures due to bio-catalysis
  • No toxic compounds used
  • No additional environmental burden because existing oilfields are reused

The solution

Methane can be synthesized by microbes or chemically. Naturally, methane is produced by anaerobic (oxygen-free) microbial biomass decomposition. The energy for biomass synthesis is provided by sun­light or chemical energy like hydrogen. In the case of methanogens (methane producing microbes), energy is harvested after CO2 and hydrogen were re­leased from biomass de­composition following a 1-to-4 stoichiometry:

CO2 + 4 H2 → CH4 + 2 H2O

Without microbes, methane is produced by the Nobel-prize winning Sabatier reaction and several attempts are currently underway to use it on industrial scale. It is necessary to split water into hydrogen and use this to re­duce CO2 in the gas phase. A major drawback of the Sabatier reaction is the need for high tempera­tures around 385ºC, and a nickel catalyst that becomes quickly spent. Methanogens use iron-nickel enzymes called hydro­genases to harvest energy from hydrogen, but do so at ambient tempera­tures.

To produce abiotic hydrogen, water is split using precious metal catalysts. Microbes split water using hydrogenases in reverse direction and the produced hydro­gen is oxidized by methanogens that grow in the electrolyte or on electrodes to pro­duce methane⁠. This reaction oc­curs at the correct 1-to-4 stoichiometry⁠ at potentials that are near to the theoretical hydro­gen production potential of −410 mV obtained from the Nernst equation in neutral aqueous solu­tions⁠. Methanogenic microorganisms are able to reduce the overpoten­tial.

Power-to-Gas concept for exhausted oilfields. Electrolysis catalyzes water splitting inside the oilfield producing methane gas and O2.

The future challenge will be to accelerate methane production rates as has been reported for a high tem­perature oilfield cul­tures⁠. Besides increasing the temperature, the most obvious solution is to use a higher reactive surface and bringing both electrodes closer together. Using carbon brushes that are poor hydrogen catalysts but provide a higher sur­face for microbial attachment is one possibility. Methane production correlates with microbial cell numbers in the reactors.

The number of methanogens in microbial electrolysis reactors correlates with the electrode surface.

To overcome the problem of expensive carbon (and also steel) brushes for large scale applications,exhausted gas and oilfields could be used. They provide a high surface area and are usually eco­nomic liabili­ties and not assets. Methano­gens inhabit oilfields where they carry out the final step in anaero­bic petroleum degradation⁠. Hence, oilfields can be seen as bioreactors at geological scale. Geological formations provide ideal con­ditions for produc­ing, storing and ex­tracting methane.

Open questions and potential solutions

Oilfield porespace volume

The Californian Summerland oilfield, for instance, has been abandoned and extensively studied in the past. It produced 27 billion barrels of oil and 2.8 billion m3 methane during its lifetime of 90 years. This maximum load of 3.5 billion m3 left the same volume of porespace filled with seawater behind. Only 2% of these pores are larger than 50 µm, which is necessary for microbial growth assuming dimensions of 1 x 2 µm of a methanogen cell. Experiments showed that the resulting 70 million m3 accessible porespace have a storage capacity of 35,000 TW.  That is a lot of methane assuming a solubility of 0.74 kg methane m−3 seawater at 500 m water depth⁠. All German off-shore windfarms together have a capacity of 7,000 MW. Obviously, the limiting factor is not the volumet­ric storage capacity of an oilfield.

Microbial methane production rates

But how fast can microbes produce methane in an hypothetical oilfield? Under optimal conditions, methanogens that grow on electrodes (typically the genus Methanobacterium or Methanobrevibacter) can produce methane at a rate of 100-200 nmol ml−1 day−1 (equals 2.24-4.48 ml l−1 day−1) depending on catalyst and potential. Using a produc­tion rate of 15 J ml−1 day−1 of methane (190 nmol ml−1 day−1), the en­tire microbially accessi­ble oilfield (2%) has a ca­pacity of 3.6 mil­lion MBtu per year. Mi­crobes would theoretical­ly consume 1 TWh per year for 3.6 mil­lion MBtu meth­ane pro­duction if there were no losses and elec­trical power is translate­d into methane 1-to-1. A power genera­tor of 121 MW would be suffi­cient to supply the entire oil­field at these rates. However, all Ger­man off-shore wind­farms produce 7,000 MW mean­ing that only 3% off-peak power can be cap­tured by our ex­ample oilfield. There­fore, the catalytic sur­face and activity must be in­creased to accel­erate methane conversion rates.

Since methanogens produce methane from hydrogen, not only the 2% porespace big enough for cells can be used resulting in an increased catalytic surface to nearly 60%. A hydrogen cata­lyst needs to be found that does not out-pace methanogen growth to keep the reservoir pH within the limits of 6-8 re­quired for methanogen growth. This hydrogen catalyst must be cheap and render an oilfield electrically conductive. A chemical formulation that mimics microbial hydrogen catalysis could be used. It has the potential to turn a non-conductive and non-catalytic oilfield into a con­ductive hydrogen catalyst sufficient to sustain methane produc­tion needed to store all of Germany’s electricity produced by off-shore wind­farms. This catalyst is solu­ble in water when inactive. To become active, it coats mineral surfaces by precipitation that can be triggered by indigenous microbes or by electrical polarization. The investment would be $2.3 mil­lion per MW storage capaci­ty ($16 bil­lion for the entire 7,000 MW). Due to microbial growth, the cat­alytic activity of the system improves dur­ing operation and there is no need for the second component if an immediate production is not crucial. The investments made on the cathode side would then be as low as $600 per MW ($4.2 million for 7,000 MW).

Anodes

As the cathodic side of the reaction can be excluded as limiting factor, the anode needs to be de­signed. Several commercially available anodes such as mixed metal oxides (up to 750 A m−2) with platinum on carbon black or niobium anodes (Pt/C, 5-10 kA m−2) could be used. Anodes based on platinum are the most cost-efficient material available on the market. Invest­ments made for Pt/C (10%, 6 mg cm−2) anodes will amount to $50,000 per MW ($350 million for 7,000 MW). How­ever, the exact amount of Pt needed for the reaction still needs to be evaluated in an experiment be­cause the corrosion rate at 2 V cell voltage is unknown. An often cited value for the life­time of fuel cells is 5,000 hours and is used here to determine the costs per kWh. For 5,000 hours life­time, the costs per kWh will be at the targeted limit of $0.01 but may be well below that because Pt/C anodes can be re­cycled and the Pt load may be reduced to 3 mg cm−2 (5%). Alternatively, steel anodes (SS316, 2.5 kA m−2, $54,000 per MW) can be used but it is unclear when steel anodes fail to elec­trolyze. In conclusion, the anodic side is the cost-driving factor. Hope­fully, better water splitting anodes will lower these costs in future.

Cost estimation summary

Windfarms

Already in place

CO2 injection

Already occurred

Natural gas capturing equipment

Already in place

Microbial seed

Wastewater from oil rig

Cathode costs

$600 MW1

Anode costs

$50,000 MW1

Electrolyte (seawater)

Free

Total (>5,000 hours anode lifespan)

<$0.01 kWh1

Energy and conversion efficiencies

The whole cell voltage for microbial power-to-gas reactions varies from 0.6 to 2.0 V, depending on ca­thodic rates, anodic corrosion and the presence of a membrane. Higher voltages will accelerate an­ode corrosion, again, making anodes the limiting factor. As the voltage decreases, methane production rates become slower but also more efficient. The voltage also depends on the pH of the oil­field. An oil­field that underwent CO2 injection as enhanced recovery method will have a low pH, provid­ing better condi­tions for hydrogen production but not for microbial growth and must be neutralized using seawa­ter. As stated above, the oilfield, being the cathode, is not limiting the the sys­tem. The use of Pt/C an­odes eliminates the overpotential problem on the anode side. Hence, we can assume an ideal system that splits water at 1.23 V. However, the voltage is often 2 V due to anode and cathode overpotentials. Optimized cul­tures and cathodes produce about 190 nmol ml−1 day−1 methane which equals 0.15 J ml−1 day−1 using the energy of combustion of 0.8 MJ mol−1. The same electrolysis cell consumes 0.2 mW at a cell voltage of 2 V which equals 0.17 J ml−1 day−1 and the resulting energy effi­ciency is 91%. The anodes can be simple carbon brushes and the two cham­bers of the cell are separated by a Nafion™ membrane. The system can still be optimized by using Pt/C anodes and by avoiding mem­branes.

The overall electricity-methane-electricity efficiency also depends on the consumption side efficiency where methane is used in com­bustion engines and gas fired power plants. Such power plants fre­quently operate at efficiencies of 40- 60%. Assuming a reasonable power efficiency of 80% (see above), the overall electrical power recov­ery using gas fired power plants will be up to 50%. Besides the high efficiency of gas fired power plants, they are also easy to build and therefore contribute the a better power grid efficiency. Coal fired power plants can be upgraded to gas fired power plants.

Experimental approach

The conversion efficiencies of charge (Coulombs) transported across the circuit are usually between 70-100% in these systems depending on the electrode material⁠. Another efficien­cy limitation could arise from mass transport inhibition. Mass transport can be improved by pump­ing electrolyte adding more costs for pumping which still have to be de­termined. However, since most oil­fields undergo seawater injection for enhanced oil recovery the addi­tional cost may be negligi­ble. The total efficiency has yet to be determined in scale-up experiments and will depend on the fac­tors men­tioned above.

The reactor simulates oilfield conditions using sand as filling material under continuous flow of electrolyte.

Controlling the pH is crucial. Alkaline pHs significantly impede hydrogen pro­duction and therefore methanogenesis. This can be addressed by a software that monitors the pH and adjusts the po­tential accordingly. Addition of acids is not desired as this drives the costs. The software can also act as potentiostat that then fully controls the methane production process. To test the process under more realistic conditions, a drill core from an oilfield must be obtained.

Results show methane production in the simulation reactor. The appearance of methane in the anode compartment was a result of flow from the cathode to the anode, carrying produced methane with it.

Return of investment of the microbial power-to-gas process

The the microbial power-to-gas process in unproductive oilfields is economically superior to all other storage strategies because of the low start-up and operating costs. This is achieved because the ma­jor investments are the installation of oil- and gas production equipment and renewable power plants which are already in place as a precondition. These investments break even in a short amount of time.

But how can the microbial Power-to-Gas process accelerate the return of investment in renewable en­ergy? Only 8 out of 28 active off-shore windfarms reported their investment costs. These 8 produce roughly half the overall power of 1,600 MW corresponding to $7 billion. While the maximum production of an oilfield with unlimited supply of elec­tricity would yield hypothetical 3.6 million MBtu natural gas per year resulting a return of $13 million per year the real production is limited by off-peak power gener­ated by re­newable energy production. Assuming that the maximum annual methane production corresponds to 10% excess electrical power, $15 million per year can by gener­ated by selling 4.3 million MBtu meth­ane per year on the market. These are $15 million that are not lost during off-peak shutdowns. Clearly, this conservative estimate can help to compensate the invest­ment in renewable energy earlier. It also decreases the investment risk because the investment calcu­lations for new wind farms can be made on a more reliable basis.

In the example using all German windfarms (7,000 MW) this compensation roughly doubles. Using the $60 million generated by methane sales per year, the investment of $4 million for the cathodic cata­lyst and the $36 million for the Pt/C anodes are compensated for within less than a year. No other invest­ments are required because the target oilfield already produced oil and gas and all necessary installa­tion are in working condition. The target oilfield is swept using seawater as sec­ondary extraction method. Electrical installations are in place for cathodic protection of production equipment in order to prevent microbial corrosion, which, however, may need to be upgraded to pass the now higher power densities. Moreover, CO2 is used from CO2 injection as tertiary enhanced oil re­covery method. Only the pH may then need to be adjusted to sustain life by sweeping with seawater.

And this is not the end of oilfield storage capacity. In theory, an oilfield can store the entire amount of renewable energy produced in one year globally, allowing more than enough head room for future development and CO2 sequestration.

Posted on

EU market summary for energy storage

Electrical energy storage (EES) is not only a vital component in the reliable operation of modern electrical grids, but also a focal point of the global renewable energy transition. It has been often suggested that EES technologies could be the missing piece to eliminating the technical hurdles facing the implementation of intermittent renewable energy sources. In the following blog posts, selected EES markets within the European Union will be evaluated in detail.

With over 80 MW of installed wind and solar capacity, Germany is by far the leading EU nation in the renewable energy transition. However, experts have argued that Germany’s need for widespread industrial scale energy storage is unlikely to materialize in any significant quantity for up to 20-years. This is due to a number of factors. Germany’s geographic location and abundance of connections to neighbouring power grids makes exporting any electricity fluctuations relatively easy. Additionally, when Germany reaches its 2020 targets for wind and solar capacity (46 GW and 52 GW, respectively) the supply at a given time would generally not exceed 55 GW. Nearly all of this would be consumed domestically, with no/little need for storage.

When evaluating energy storage in the UK, a different story emerges. Being an isolated island nation there is considerably more focus on energy independence to go along with their low-carbon energy goals. However, the existing regulatory environment is cumbersome, and poses barriers significant enough to substantially inhibit the transition to a low-carbon energy sector – including EES. The UK government has acknowledged the existence of regulatory barriers and pledged to address them. As part of this effort, a restructuring of their power market to a capacity-based market is already underway. The outlook for EES in the UK is promising, there is considerable pressure from not only industry, but also the public and the government to continue developing EES facilities at industrial scale.

Italy, once heavily hydro-powered, has grown to rely on natural gas, coal, and oil for 50% of it’s electricity (gas representing 34% alone). The introduction of a solar FIT in 2005 lead to significant growth in the solar industry (Italy now ranks 2nd in per capita solar capacity globally) before the program ended in July 2014. In recent years there has been notable growth in electro-chemical EES capacity (~84 MW installed), primarily driven by a single large-scale project by TERNA, Italy’s transmission system operator (TSO). This capacity has made Italy the leader in EES capacity in the EU, however the market is to-date dominated by the large TSOs.

However, the combination of a reliance on imported natural gas, over 500,000 PV systems no longer collecting FIT premiums, and increasing electricity rates presents a unique market opportunity for residential power-to-gas in Italy.
Denmark is aggressively pursing a 100-percent renewable target for all sectors by 2050. While there is still no official roadmap policy on how they will get there, they have essentially narrowed it down to one of two scenario: a biomass-based scenario, or a wind + hydrogen based scenario. Under the hydrogen-based scenario there would be widespread investment to expand wind capacity and couple this capacity with hydrogen power-to-gas systems for bulk energy storage. With the Danish expertise and embodied investment in wind energy, one would expect that the future Danish energy system would be build around this strength, and hence require significant power-to-gas investment.

The renewable energy industry in Spain has completed stagnated due to retroactive policy changes and taxes on consumption of solar generated electricity introduced in 2015. The implementation of the Royal Decree 900/2015 on self-consumption has rendered PV systems unprofitable, and added additional fees and taxes for the use of EES devices. No evidence was found to suggest a market for energy storage will materialize in Spain in the near future.

The final country investigated was the Netherlands, which has been criticized by the EU for its lack of progress on renewable energy targets. With only 10% of Dutch electricity coming from renewable sources, there is currently little demand for large-scale EES. While the Netherlands may be lagging behind on renewable electricity targets, they have been a leader in EV penetration; a trend that will continue and see 1-million EVs on Dutch roads by 2025. In parallel with the EV growth, there has been a large surge in sub-100kW Li-ion installations for storing energy at electric vehicle (EV) charging stations. It is expected that these applications will continue to be the primary focus of EES in the Netherlands.

Similar to Italy, the Dutch rely heavily on natural gas for energy within their homes. This fact, coupled with an ever-increasing focus on energy independent and efficient houses could make the Netherlands a prime market for residential power-to-gas technologies.

Read more about electrical energy storage here.

Jon Martin, 2019

(Photo: NASA)

Posted on

Cobalt Nanocrystals Make Lithium-Ion Batteries Age More Slowly

In todays Li-ion batteries, cobalt oxide cathodes improve performance and durability. While, such cobalt cathodes show the same performance as nickel oxide cathodes, they come at a higher price. Nickel cathodes, in turn, crack and dissolve quickly, which reduces their lifespan. Nevertheless, nickel cathodes are very popular because they are so cheap.

Now, the research team led by Jaephil Cho of the Ulsan National Institute of Science and Technology in South Korea has developed a cathode made of more than 80% nickel. The researchers reported in the journal Energy & Environmental Science that a cathode coated with nanocrystals of cobalt aged more slowly than conventional nickel cathodes. After recharging 400 times at room temperature, the battery was able to retain 86% of its original capacity.

The novel nickel cathodes could help meet the growing demand for rechargeable batteries in electric vehicles if cobalt prices rise in the future.

(Photo: Wikipedia)