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Energy storage market in the United Kingdom

The UK’s Electricity Portfolio

In our last post about the EU energy storage market we gave a brief overview of Germany’s situation. Now, we show how the United Kingdom prepared itself for its energy transition. Traditionally, the UK’s energy mix has been dominated by fossil fuels. This remains the status quo today, as approximately 60% of the electricity generated in the UK comes from fossil fuel sources, with another 20% coming from nuclear.

UK electricity production 2015 (Source: The UK Government)

While the UK has been heavily dependent on carbon-intensive sources of electricity, in 2008 they committed to a 15% renewable energy target (by 2020) and 80% reduction in CO2 emissions (by 2050; Department of Energy & Climate Change). However, the UK has stated that they will miss the 15% renewable target for 2020, due to the lack of properly designed policy measures. There has been considerable pressure to transition to a low carbon market and with one-quarter of existing generating capacity (mainly coal and nuclear) expected to close by 2021; it is expected that growth in renewable energy will lead to more energy storage capacities.

In 2011 the UK government, acknowledging that their current market structure would not be able to accommodate the scale or rate of investment in clean energy needed, proposed a shift to a capacity-based market, that is, a market in which a central agency procures capacity years in advance, in order to adequately plan for and control future generation. The proposed market reform would help drive the transition to low carbon energy by providing renewable energy producers revenue stability through carbon pricing and feed-in-tariffs (FITs). The capacity market was operational after the first energy auctions in late 2015.

The UK has made excellent progress on its short-term clean energy goals and there is optimism that this trend will continue. Large-scale development of low carbon generation technologies such as wind and solar is expected to continue.

Energy Storage Facilities – UK

As of late 2016, there were 27 non-PHS EES plants representing 430 MW of installed capacity in the UK (Sandia National Laboratories). The UK’s energy storage portfolio is dominated by electro-chemical based technologies (primarily lead-acid and lithium-ion battery installations). This is shown below.

Number of Existing & Planned Energy Storage Facilities in the UK, by Type (Source: Sandia National Laboratories)

The prevalence of electro-chemical technologies appears to be continuing the short-term as well; five of the seven energy storage projects currently under development in the UK are electro-chemical. While this is a rather small sample size, the decreasing costs of lithium-ion battery storage is a point of focus for the UK.

Service Uses of Energy Storage – UK

UK Energy Storage Facilities by Service Use Type (Source: Sandia National Laboratories)

As was shown for Germany, only a very small fraction of EES facilities are dedicated to renewables capacity firming. The existing EES capacity is almost exclusively dedicated to critical transmission support (on-site power). While nearly all of the EES capacity under development is dedicated to bulk energy storage (electric energy time shift).

There is still considerable uncertainty around the growth of EES in the UK, and with such a small sample size it is difficult to infer any correlation from the data in the figure above. According to the previous UK government, however, being geographically isolated and a net importer of electricity, one would expect the UK to place a heavier focus on renewables capacity firming in the long-term.

Energy Storage Market Outlook – UK

The UK is in the midst of a major restructuring of their electricity generating portfolio and the market under which these assets operate. With a large portion of the existing capacity due for retirement in the next 10-15 years, the UK faces challenges in meeting energy needs while balancing decarbonization efforts. As part of this, major investment is needed in all areas of the electrical grid, including energy storage.

In its Smart Power publication, the National Infrastructure Commission outlined that while the UK is being faced with challenges to cover aging infrastructure this represents an opportunity to build efficient and flexible energy infrastructure. The Commission stated that energy storage was one of the three key innovations for a “smart power revolution”.

Many other official government bodies have expressed similar thoughts regarding energy storage. In its Low carbon network infrastructure report, the Energy and Climate Change Committee stated that “storage technologies should be deployed at scale as soon as possible”, while urging the Government to eliminate the outdated and unfair regulations that have been handcuffing energy storage development in the UK (Garton and Grimwood).

In April 2016, the Government acknowledged concerns regarding the regulatory hurdles facing energy storage projects (primarily double-charging of network charges) and stated that they would begin working with the National Infrastructure Commission and ECCC to investigate the issue. While there may be regulatory hurdles hindering energy storage in the UK, the Government has shown commitment through funding. Since 2012, the government has contributed over £80 million to energy storage research. In addition to this, the Department of Energy and Climate Change have developed a new £20 million fund to help drive innovation in energy storage technologies.

Overall, the outlook for energy storage in the UK is positive. There is considerable pressure to begin developing energy storage facilities at scale from not only industry, but also many government bodies. Investors are ready as well. As stated by the National Infrastructure Commission: “businesses are already queuing up to invest”.

Simply put: regulatory hurdles are holding back growth in the UK energy storage market. With the Government making major strides in renewable energy development and being vocal about its commitment to making the UK a leader in energy storage technology, these regulatory hurdles will likely be relaxed and there should be considerable growth in the UK energy storage market in the near-term.

At this point, specific technology types and service uses have not been hypothesized in detail. However, with the UK being geographically isolated and a net importer of electricity, logic would suggest an emphasis on renewables capacity firming in the long-term to maximize domestic consumption of renewable energy. Rapidly decreasing costs in electro-chemical technologies, coupled with the fact that much of the existing gas-fired capacity will be reaching end of life by 2030 suggest that the UK EES market would not be ideal for P2G technologies.

(Jon Martin, 2019)

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Energy storage market in Germany

Germany’s electricity portfolio

In our last posts we introduced electrical energy storage (EES) and the EU market for EES. Now, we focus on some important EU members, beginning with Germany. The country’s electrical energy portfolio reflects its status among the most progressive countries in the world in terms of climate action. As of November 2016, Germany had produced ~35% of its 2016 electricity needs from renewable sources as outlined in the Figure below.

Electricity Production in Germany (Source: Fraunhofer ISE)

The growth of renewable energy has been driven by Germany’s strong energy transition policy – the “Energiewende” – a long-term plan to decarbonize the energy sector. The policy was enacted in late 2010 with ambitious GHG reduction and renewable energy targets for 2050 (80-95% reduction on 1990 GHG levels and 80% renewable-based electricity).
A major part of the 2010 Energiewende policy was the reliance on Germany’s 17 nuclear power plants as a “shoulder fuel” to help facilitate the transition from fossil fuels to renewables. In light of the Fukushima disaster just six months after the enactment of the Energiewende, the German government amended the policy to include an aggressive phase-out of nuclear by 2022 while maintaining the 2050 targets. This has only magnified the importance of clean, reliable electricity from alternative sources like wind and solar.

Existing Energy Storage Facilities – Germany

As of late 2016, there is 1,050 MW of installed (non-PHS) energy storage capacity in Germany. The majority of this capacity is made up of electro-mechanical technologies such as flywheels and compressed air energy storage (CAES; see figure below).

Capacities of EES Types in Germany (Source: Sandia National Laboratories)

However, these numbers are somewhat skewed based on the fact that the electro-mechanical category is essentially two large capacity CAES plants. In reality, electro-chemical projects (mainly batteries) are much more prevalent and represent the vast majority of growth in the German storage market. There are currently 11 electro-chemical type energy storage projects under development in Germany and no electro-mechanical projects under development (see figure below).

Number of EES Projects by Type (Sandia National Laboratories)

Services Uses of Energy Storage – Germany

As outlined earlier, there are a multitude of service uses for EES technologies. Currently the existing EES fleet in Germany serves grid operations and stability applications (black start, electric supply capacity), and on-site power for critical transmission infrastructure. A breakdown of service uses in the German market is shown below.

Service Uses of Energy Storage Facilities in Germany (Sandia National Laboratories)

Most notable in is the fact that renewables capacity firming only represents 0.3% of EES currently operating in Germany, excluding pumped hydro storage. In order to understand this, it must be noted that Germany is a net exporter of electricity (next figure below). Having one of the most reliable electrical grids in the world and an ideal geographical location give Germany excellent interconnection to a variety of neighboring power markets; making it easy to export any excess electricity.

This “export balancing” is a primary reason why the EES market has not seen similar growth as renewable energy in Germany − it is easy for Germany to export power to balance the system load during periods of peak renewable production. However, there are negative aspects of this energy exporting such as severe overloading of transmission infrastructure in neighboring countries.

Net Exports of Electricity with Average Day-Ahead Market Pricing for Germany in 2015 (Source: Fraunhofer ISE)

Energy Storage Market Outlook – Germany

Logic seems to indicate that with aggressive renewable energy targets, a nuclear phase-out, and increased emphasis on energy independence Germany will need to develop more EES capacity. However, many have conjectured that the lagging expansion of EES in the short and medium term will not pose a barrier to the Energiewende. In fact, some claim that EES will not be a necessity in the next 10-20 years. For example, even when Germany reaches its 2020 wind and solar targets (46 GW and 52 GW, respectively), these would generally not exceed 55 GW of supply and nearly all of this power will be consumed domestically in real-time. Thus, no significant support from EES would be required.

The German Institute for Economy Research echos these sentiments and argue that the grid flexibility needed with significant renewable energy capacity could be provided by more cost-effective options like flexible base-load power plants and better demand side management. Additionally, innovations in power-to-heat technologies which would use surplus wind and solar electricity to feed district heating systems present significant opportunity, while creating a new market of energy service companies.

Power-to-Gas

Germany’s Federal Ministry of Transport and Digital Infrastructure found that P2G is ideally suited for turning excess renewable energy into a diverse product that can be stored for long periods of time and Germany has been the central point for P2G technology development in recent years. There are currently seven P2G projects either operating or under construction in Germany.

While there is work being done, economically feasible production of P2G is currently not achievable due to limited excess electricity and low guaranteed capacity. This limited excess electricity, is an example of the effect of power exports discussed earlier. While there may not be a significant commercial market in the short-term, introduction of P2G for transport could act as an additional driver behind continued renewable energy development in Germany.

In our next post, we cover the energy storage market of the United Kingdom.

(Jon Martin, 2019)

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Framework for a global carbon budget

Over the past decade, numerous studies have shown that global warming is roughly proportional to the concentration of CO2 in our atmosphere. In this way one can estimate our remaining carbon budget. This is the total amount of man-made carbon dioxide that can still be released into the atmosphere before reaching a set global temperature limit. The nations of the world agreed on this limit in the 2015 Paris Agreement. It should not exceed 1.5°C, and in any case be well below 2.0°C. However, diverging estimates have been made for the remaining carbon budget, which has a negative impact on policy-making. Now, an international research group of renown climate experts has published a framework for the calculation of the global CO2 budget in Nature. The researchers suggest that the application of this framework should help to overcome the differences when estimating the carbon budget, which will help to reduce uncertainties in research and policy.

Since the fifth report of the Intergovernmental Panel on Climate Change (IPCC), the concept of a carbon budget has become more important as an instrument for guiding climate policy. Over the past decade, a series of studies  has clarified why the increase in the global average temperature is roughly proportional to the total amount of CO2 emissions caused by human activity since the Industrial Revolution. In the framework, the research group cites numerous published documents that provide evidence for the linearity of this correlation. This literature has allowed scientists to define the linear relationship between warming and CO2 emissions as a transient climate response to cumulative CO2 emissions (TCRE). The linearity is an appealing concept because of the complexity of the Earth’s response to our CO2 emissions. Additional processes that affect future warming have been included in recent models, among them, for example, the thawing of the Arctic permafrost. These additional processes increase the uncertainty of current climate  models. In addition, global warming is not just caused by CO2 emissions. Other greenhouse gases, such as methane, fluorinated gases or nitrous oxide, as well as aerosols and their precursors affect global temperatures. This further complicates the relationship between future CO2.

In the case of global warming caused by CO2, every tonne contributes to warming, whether that ton is emitted in future, now or in the last century. This means that global CO2 emissions must be reduced to zero, and then remain zero. This also means that the more we emit in the next years, the faster we have to reduce our emissions later. At zero emissions, warming would stabilize, but not disappear. It may also reverse. An overdraft of the carbon budget would have to be compensated by removing the CO2 later. One way of removing CO2 from the atmosphere would be a technology called direct air capture, which we reported earlier. Ultimately, this will probably be the only way left, as carbon neutral renewable energy source sources only make up 5% of our energy mix. Establishing a global carbon budget will further highlights the urgency of our clean energy transition. Unfortunately, there is a large divergence when it comes the amount of the CO2 remaining in our carbon budget. In their framework, the researchers cite numerous studies on carbon budgets to maintain our 1.5°C target. Starting 2018, these range from 0 tonnes of CO2 to 1,000 gigatons. For the 2.0°C target, our carbon budget ranges from around 700 gigatons to nearly 2,000 gigatons of remaining CO2 emissions. The aim of the researchers is to limit this uncertainty by establishing a budget framework. The central element is the equation for calculating the remaining carbon budget:

Blim = (TlimThistTnonCO2Thist) / TCRE − EEsfb

The budget of the remaining CO2 emissions (Blim) for the specific temperature limit (Tlim) is a function of five terms that represent aspects of the geophysical and human-environment systems: the historical man-made warming (Thist), the non-CO2 contribution to the future temperature increase (TnonCO2), the zero emission commitment (TZEC), the TCRE, and an adaptation for sources from possible unrepresented Earth system feedback (EEsfb).

 

Term Key choices or uncertainties Type Level of understanding
Temperature limit Tlim Choice of temperature metrics that allow global warming, the choice of pre-industrial reference and consistency with global climate targets Choice Medium to high
Historical man-made warming Thist Incomplete data and methods for estimating the man-made component; see also Tlim Choice and uncertainty Medium to high
Non-CO2 contribution to future global warming TnonCO2 The level of non-CO2 contributions coinciding with global net zero CO2 emissions; depends on policy choices, but also on the uncertainty of their implementation Choice and uncertainty Medium
Non-CO2 contribution to future global warming TnonCO2 Climate reaction to non-CO2 forcers, such as aerosols and methane Uncertainty Low to medium
Zero-emissions commitment TZEC The extent of the decadal zero emission commitment and near-zero annual carbon emissions Uncertainty Low
Transient climate response to cumulative emissions of CO2 TCRE TCRE uncertainty, linearity and cumulative CO2 emissions that affect temperature metrics of the TCRE estimate Uncertainty Low to medium
Transient climate response to cumulative emissions of CO2 TCRE Uncertainty of the TCRE linearity, value and distribution beyond peak heating which is affected by cumulative CO2 emissions reduction
Uncertainty Low
Unrepresented Earth system feedback mechanisms EEsfb Impact of permafrost thawing and duration as well as methane release from wetlands on geomodels and feedback Uncertainty Very low

In the CO2 budget, the unrepresented Earth system feedback (EEsfb) is arguably the greatest uncertainty. These feedback processes are typically associated with the thawing of permafrost and the associated long-term release of CO2 and CH4. However, other sources of feedback have been identified as well. This include, for example, the variations of CO2 uptake by the vegetation and the associated nitrogen availability. Further feedback processes involve changes in surface albedo, cloud cover, or fire conditions.

It remains a challenge to adequately characterize the uncertainties surrounding the estimates of our carbon budget. In some cases, the reason of these uncertainties is inaccurate knowledge of the underlying processes or inaccurate measurements. In other cases the terminology is used inconsistently. For better comparability and flexibility, the researchers propose to routinely measure global surface air temperature values. This method gives robust data for models and model runs over selected time periods. More detailed comparisons between published estimates of the carbon budget are currently difficult because the original data used for publication often are missing. The researchers therefore propose to provide these in the future along with publications.

Breaking down the carbon budget into its individual factors makes it possible to identify a number of promising pathways for future research. One area of ​​research that might advance this field is to look more closely at the TCRE. Future research is expected to narrow down the range of TCRE uncertainties. Another promising area of ​​research is the study of the correlation between individual factors and their associated uncertainties, for example, between uncertainties in Thist and TnonCO2. This could be achieved by developing methods that allow a more reliable estimate of historical human-induced warming. It is also clear that less complex climate models are useful to further reduce the uncertainties of climate models, and hence the carbon budget. Currently, each factor of the framework presented by yhr researchers has its own uncertainties, and there is no method to formally combine them.

At Frontis Energy, too, we think that progress in these areas would improve our understanding of the estimates of our carbon budget. A systematic understanding of the carbon budget and is crucial for effectively addressing global warming challenges.

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Energy storage in the European Union

Grid integration of renewables

In our previous post of this blog series on Electrical Energy Storage in the EU we briefly introduced you to different technologies and their use cases. Here, we give you a short overview over the EU energy grid.  Supplying approximately 2,500 TWh annually to 450 million customers across 24 countries, the synchronous interconnected system of Continental Europe (“the Grid”) is the largest interconnected power network in the world. The Grid is made up of transmission system operators (TSOs) from 24 countries stretching from Greece to the Iberic Peninsula in the south, Denmark and Poland in the north, and up to the black sea in the east. The European Network of Transmission System Operators (ENTSO-E) serves as the central agency tasked with promoting cooperation between the TSOs from the member countries in the Grid. The ENTSO-E, in essence, acts as the central TSO for Europe. With over 140 GW of installed wind and solar PV capacity, the EU trails behind only China in installed capacity. A breakdown of the individual contributions of EU member states is shown below in the figure above.

Energy Storage in the EU

For this study a number of European countries were selected for more detailed investigation into energy storage needs. These countries were selected based on a combination of existing market size, intentions for growth in non-dispatchable renewable energy and/or energy storage, and markets with a track record of innovation in the energy sector.

On a total capacity basis (installed and planned MW) the top three energy storage markets within the EU are: Italy, the UK, and Germany. These countries were selected on the basis of these existing market sizes.

Spain and Denmark were selected based on their large amounts of existing renewable energy capacity and − in the case of Denmark − the forecasted growth in renewable energy and energy storage capacity.

While still lagging behind the rest of the EU in terms of decarbonization efforts and having a small portion of their energy from renewable sources, the Netherlands were also selected for further investigation.

Each of the selected countries (Germany, UK, Italy, Spain, Denmark, Netherlands) are discussed in the proceeding sections, providing a more detailed overview outlining their current electricity portfolios and decarbonization efforts, current energy storage statistics, and a brief discussion on market outlook.

Pumped Hydro Storage

With over 183 GW of installed capacity worldwide, pumped hydro storage is the most widely implemented and most established form of energy storage in the world. Due its extensive market penetration, technology maturity, and the fact that this blog is aimed at emerging new storage technologies, the data presented in the following posts excludes this technology.

Find more details about the energy storage market of selected European countries in our next postings.

(Jon Martin, 2019)

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Electrical energy storage

Electrical Energy Storage (EES) is the process of converting electrical energy from a power network into a form that can be stored for converting back to electricity when needed. EES enables electricity to be produced during times of either low demand, low generation cost, or during periods of peak renewable energy generation. This allows producers and transmission system operators (TSOs) the ability to leverage and balance the variance in supply/demand and generation costs by using stored electricity at times of high demand, high generation cost, and/or low generation capacity.
EES has many applications including renewables integration, ancillary services, and electrical grid support. This blog series aims to provide the reader with four aspects of EES:

  1. An overview of the function and applications of EES technologies,
  2. State-of-the-art breakdown of key EES markets in the European Union,
  3. A discussion on the future of these EES markets, and
  4. Applications (Service Uses) of EES.

Table: Some common service uses of EES technologies

Storage Category

Storage Technology

Pumped Hydro

Open Loop

Closed Loop

Electro-chemical

Batteries

Flow Batteries

Capacitors

Thermal Storage

 

Molten Salts

Heat

Ice

Chilled Water

Electro-mechanical

Compressed Air Energy Storage (CAES)

Flywheel

Gravitational Storage

Hydrogen Storage

 

Fuel Cells

H2 Storage

Power-to-Gas

Unlike any other commodities market, electricity-generating industries typically have little or no storage capabilities. Electricity must be used precisely when it is produced, with grid operators constantly balancing electrical supply and demand. With an ever-increasing market share of intermittent renewable energy sources the balancing act is becoming increasingly complex.

While EES is most often touted for its ability to help minimize supply fluctuations by storing electricity produced during periods of peak renewable energy generation, there are many other applications. EES is vital to the safe, reliable operation of the electricity grid by supporting key ancillary services and electrical grid reliability functions. This is often overlooked for the ability to help facilitate renewable energy integration. EES is applicable in all of the major areas of the electricity grid (generation, transmission & distribution, and end user services). A few of the most prevalent service uses are outlined in the Table above. Further explanation on service use/cases will be provide later in this blog, including comprehensive list of EES applications.

Area

Service Use / Case

Discharge Duration in h

Capacity in MW

Examples

Generation

Bulk Storage

4 – 6

1 – 500

Pumped hydro, CAES, Batteries

Contingency

1 – 2

1 – 500

Pumped hydro, CAES, Batteries

Black Start

NA

NA

Batteries

Renewables Firming

2 – 4

1 – 500

Pumped hydro, CAES, Batteries

Transmission & Distribution

Frequency & Voltage Support

0.25 – 1

1 – 10

Flywheels, Capacitors

Transmission Support

2 – 5 sec

10 – 100

Flywheels, Capacitors

On-site Power

8 – 16

1.5 kW – 5 kW

Batteries

Asset Deferral

3 – 6

0.25– 5

Batteries

End User Services

Energy Management

4 – 6

1 kW – 1 MW

Residential storage

Learn more about EES in the EU in the next post.

(Jon Martin, 2019)

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Semiconductive nanotubes with photovoltaic effect

Cost-effective and efficient methods for converting sunlight into electricity are the focus of green energy research. Solar cells developed for this purpose are currently made of semiconductors such as silicon. Electrical energy is generated at the junction between two different semiconductors. However, the efficiency of these solar cells has almost reached its theoretical limit. New methods of converting sunlight into electricity must be found if solar energy is to be used as a major source of electricity. An international research team from Germany, Japan and Israel has now made important progress in this direction. Zhang and colleagues recently published their findings in the prestigious journal Nature. They demonstrate a transition-free solar cell that can be made by applying a more atomic semiconductor layer into a nanotube.

In a conventional solar cell, two regions of a semiconductor are doped with different chemical elements. The electrical current is generated by the negatively charged electrons of a region and by the positively charged electron holes (holes). At the junction between these two areas, an electric field is created. When sunlight is absorbed at this junction, electron-hole pairs are formed. The electrons and holes are then separated by the resulting electric field, generating an electric current. This conversion of solar energy into electricity is called photovoltaic effect. This photovoltaic effect is particularly important for green energy production. Its efficiency has almost reached the theoretical limit as mentioned above.

In technical terms, the photovoltaic effect occurs at traditional pn junctions, where a p-type material (with an excess of holes) adjoins an n-type material (with an excess of electrons). Current is generated in the photo-induced generation of electron-hole pairs and their subsequent separation. Further advances are expected through the use of other photovoltaic effects that do not require transition and only occur in crystals with broken inversion symmetry. However, the practical implementation of these effects is impeded by the low efficiency of the materials. Semiconductors with reduced dimensionality or smaller band gap have shown to be more efficient. Transition metal dichalcogenides (TMDs) are, for example, two-dimensional small-bandgap semiconductors in which various effects were observed by breaking the inversion symmetry in their bulk crystals.

The reported bulk photovoltaic effect (BPVE) is based on tungsten disulfide, a member of the TMD family. Crystals of this material have a layered structure and can be stratified in layers similar to graphite. The resulting atomic sheets can then be rolled into tubes of 100 nanometers by chemical methods. The authors produced photovoltaic devices from three types of tungsten disulfide: a monolayer, a bilayer and a nanotube.

A systematic reduction in crystal symmetry has been achieved beyond mere fractional symmetry inversion. The transition from a two-dimensional monolayer to a nanotube with polar properties has been significantly improved. The photovoltaic current density produced is orders of magnitude greater than that of other comparable materials. The results not only confirm the potential of TMD-based nanomaterials, but also the importance of reducing crystal symmetry for improving the BPVE.

While the nanotube devices had a large BPVE, the single-layer and two-layer devices produced only a negligible electric current under illumination. The researchers attribute the different performance characteristics of the solar cells to their pronounced crystal symmetry. This way, one can spontaneously generate a current in uniform semiconductors, without a transition.

The BPVE was first observed in 1956 at Bell Labs, New Jersey, just two years after the invention of modern silicon solar cells. The effect is limited to non-centrosymmetric materials characterized by a lack of symmetry in spatial inversion. That is, the combination of a 180° rotation and a reflection. The effect has two attractive properties: the current generated by light depends on the polarization of the incident light and the associated voltage is greater than the band gap of the material. This is the energy required to excite conducting free electrons. However, the effect typically has a low conversion efficiency and was therefore of rather academic than industrial interest.

To achieve high efficiency, a photovoltaic material must have high light absorption and low internal symmetry. However, these two properties usually do not exist simultaneously in a given material. Semiconductors that absorb most of the incident sunlight generally have high symmetry. This reduces or even prevents the effect. Low-symmetry materials, such as perovskite oxides, absorb little sunlight due to their large band gap. To circumvent this problem, efforts have been made to improve light absorption in low-symmetry materials, for example by using the mentioned doping. Meanwhile, it has been shown that the effect can occur in semiconductors by using mechanical fields to adjust the crystal symmetry of the material.

The newly discovered solution is encouraging with regard to the production of high absorption semiconducting nanotubes. In the case of tungsten disulfide, the crystal symmetry of the nanotubes is reduced compared to the mono- and bilayers due to the curved walls of the tube. The combination of excellent light absorption and low crystal symmetry means that the nanotubes have a significant photovoltaic effect. The current density exceeds that of materials which are inherently low in symmetry. Nevertheless, the conversion efficiency achieved is still much lower than that of the photovoltaic effect in conventional junction-based solar cells.

The authors’ findings demonstrate the great potential of nanotubes in solar energy production and raise various technological and scientific challenges. From an application’s perspective, it would be useful to produce a solar cells that consists of a large arrays of semiconductor nanotubes to check whether the approach is scalable. The direction of the generated current would be largely determined by the internal symmetry of the material. Therefore, uniform symmetry across the nanotube array would be required to create a collective current. These currents could cancel each other out.

At Frontis Energy, we wonder if the method described could work with the classic photovoltaic effect in the same solar cell. That would possibly increase overall efficiency. The two effects could use the solar energy consecutively. Despite the remaining challenges, the presented work offers a possibility for the development of highly efficient solar cells.

(Photo: Wikipedia)

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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)

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Hydropower

Hydropower is electricity generated by the movement of water.

In the late 19th century, hydropower became an industrially efficient method of generating electricity. Waters falling from high altitudes, e.g. mountain streams or rivers, as well as strong currents are the best candidates for generating electricity from hydropower. This electricity is a considerable global energy source. It is generated by water entering a turbine which then rotates. When this turbine is connected to an electric generator, this mechanical energy is converted into electrical energy. The Niagara Falls and the Hoover Dam are two examples of electricity produced in this way.

Hydropower provides about 20% of the world’s electricity.

Hydropower has recently gained popularity. The World Bank called it a workable solution to keep up with growing energy needs while avoiding CO2 emissions.

(Photo: Wikipedia)

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Machine learning makes smarter batteries

Renewable energies, such as wind and solar energy are naturally intermittent. To balance their demand and supply, batteries of, for example, electric vehicles can be charged and act as an energy buffer for the power grid. Cars spend most of their time idle and could, at the same time, feed their electricity back into the grid. While this is still a dream of the future, commercialization of electric and hybrid vehicles is already creating a growing demand for long-lasting batteries, both for driving as well as grid buffering. Consequently, methods for evaluating the state of the battery will become increasingly important.

The long duration of battery health tests is a problem, hindering the rapid development of new batteries. Better battery life forcasting methods are therefore urgently needed but are extremely difficult to develop. Now, Severson and her colleagues report in the journal Nature Energy that machine learning can help to predict computer battery life by creating computer models. The published algorithms use data from early-stage charge and discharge cycles.

Normally, a figure of merit describes the health of a battery. It quantifies the ability of the battery to store energy relative to its original state. The health status is 100% when the battery is new and decreases with time. This is similar to the state of charge of a battery. Estimating the state of charge of a battery is, in turn, important to ensure safe and correct use. However, there is no consensus in the industry and science as to what exactly a battery’s health status is or how it should be determined.

The state of health of a battery reflects two signs of aging: progressive capacity decline and impedance increase (another measure of electrical resistance). Estimates of the state of charge of a battery must therefore take into account both the drop in capacity and the increase in impedance.

Lithium ion batteries, however, are complex systems in which both capacity fade and impedance increase are caused by multiple interacting processes. Most of these processes cannot be studied independently since they often occur in simultaneously. The state of health can therefore not be determined from a single direct measurement. Conventional health assessment methods include examining the interactions between the electrodes of a battery. Since such methods often intervene directly in the system “battery”, they make the battery useless, which is hardly desired.

A battery’s health status can also be determined in less invasive ways, for example using adaptive models and experimental techniques. Adaptive models learn from recorded battery performance data and adjust themselves. They are useful if system-specific battery information are not available. Such models are suitable for the diagnosis of aging processes. The main problem, however, is that they must be trained with experimental data before they can be used to determine the current capacity of a battery.

Experimental techniques are used to evaluate certain physical processes and failure mechanisms. This allows the rate of future capacity loss to be estimated. Unfortunately, these methods can not detect any intermittent errors. Alternative techniques use the rate of voltage or capacitance change (rather than raw voltage and current data). In order to accelerate the development of battery technology, further methods need to be found which can accurately predict the life of the batteries.

Severson and her colleagues have created a comprehensive data set that includes the performance data of 124 commercial lithium-ion batteries during their charge and discharge cycles. The authors used a variety of rapid charging conditions with identical discharge conditions. This method caused a change of the battery lives. The data covered a wide range of 150 to 2,300 cycles.

The researchers then used machine learning algorithms to analyze the data, creating models that can reliably predict battery life. After the first 100 cycles of each experimentally characterized battery their model already showed clear signs of a capacity fade. The best model could predict the lifetime of about 91% data sets studied in the study. Using the first five cycles, batteries could be classified into categories with short (<550 cycles) or long lifetimes.

The researchers’ work shows that data-driven modeling using machine learning allows forecasting the state of health of lithium-ion batteries. The models can identify aging processes that do not otherwise apparent in capacity data during early cycles. Accordingly, the new approach complements the previous predictive models. But at Frontis Energy, we also see the ability to combine generated data with models that predict the behavior of other complex dynamic systems.

(Photo: Wikipedia)

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Faster photoelectrical hydrogen

Achieving high current densities while maintaining high energy efficiency is one of the biggest challenges in improving photoelectrochemical devices. Higher current densities accelerate the production of hydrogen and other electrochemical fuels.

Now a compact, solar-powered, hydrogen-producing device has been developed that provides the fuel at record speed. In the journal Nature Energy, the researchers around Saurabh Tembhurne describe a concept that allows capturing concentrated solar radiation (up to 474 kW/m²) by thermal integration, mass transport optimization and better electronics between the photoabsorber and the electrocatalyst.

The research group of the Swiss Federal Institute of Technology in Lausanne (EPFL) calculated the maximum increase in theoretical efficiency. Then, they experimentally verified the calculated values ​​using a photoabsorber and an iridium-ruthenium oxide-platinum based electrocatalyst. The electrocatalyst reached a current density greater than 0.88 A/cm². The calculated conversion efficiency of solar energy into hydrogen was more than 15%. The system was stable under various conditions for more than two hours. Next, the researchers want to scale their system.

The produced hydrogen can be used in fuel cells for power generation, which is why the developed system is suitable for energy storage. The hydrogen-powered generation of electricity emits only pure water. However, the clean and fast production of hydrogen is still a challenge. In the photoelectric method, materials similar to those of solar modules were used. The electrolytes were based on water in the new system, although ammonia would also be conceivable. Sunlight reaching these materials triggers a reaction in which water is split into oxygen and hydrogen. So far, however, all photoelectric methods could not be used on an industrial scale.

2 H2O → 2 H2 + O2; ∆G°’ = +237 kJ/mol (H2)

The newly developed system absorbed more than 400 times the amount of solar energy that normally shines on a given area. The researchers used high-power lamps to provide the necessary “solar energy”. Existing solar systems concentrate solar energy to a similar degree with the help of mirrors or lenses. The waste heat is used to accelerate the reaction.

The team predicts that the test equipment, with a footprint of approximately 5 cm, can produce an estimated 47 liters of hydrogen gas in six hours of sunshine. This is the highest rate per area for such solar powered electrochemical systems. At Frontis Energy we hope to be able to test and offer this system soon.

(Photo: Wikipedia)