Posts mit dem Label pumped hydro werden angezeigt. Alle Posts anzeigen
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Dienstag, 2. Januar 2018

LCOS Levelized Cost Of Storage

LCOS the price for stored Energy

Comparison of storage costs


Comparing the costs of energy storage is anything but easy. This is because known storage media such as batteries, pumped storage, gravity storage or compressed air have very different prices and efficiencies.
In this post, I would like to explain the LCOS comparison procedure, which is used internationally, and point out the calculation problems.

Where the costs arise

A webinar about LCoS and bulk storage.

At first glance, many people see only the purchase price (CAPEX) for a storage device. But even this is not a trivial decision, let's just think of a pumped storage reservoir that needs to be built. Perhaps ten years from the investment decision to the first electricity supply, a time when a lot of money is spent. Wouldn't it have been possible to invest the money better during this time, perhaps with a 5% interest rate?
To take this effect into account, the discounted price for the future is determined. In a simple case, a storage device that costs 1000 dollars, but can first be used after one year, would cost ~1050 euros.

When the storage facility is in operation, running costs (OPEX) are incurred, e.g. for maintenance and operation, but also for renting the space. If there is a battery storage unit in the house and requires 1 m² of space, you have to allocate the rental costs per month, about $5/m², so that the storage unit alone causes 5*12 = $60 rental costs per year!

A power storage device is never 100% efficient. Since the electricity that is stored is not free of charge, even if the opposite is often claimed, the costs of electricity lost during storage must be considered. For example, if you have a LiIon battery that takes electricity from your own PV system, you can charge assuming 10 ct/kWh for the electricity and a storage efficiency of 90%, measured on the alternating current side. As a result, 10 ct costs are incurred per storage cycle in a 10 kWh storage system due to the internal power loss.

For many calculations, however, the lost interest rate is one of the most expensive but also the most difficult to understand parameter. When making an investment decision, every company wants a return on investment that is higher than the return it would receive from the bank. Since every investment is supposed to generate a profit and is subject to uncertainties, a calculated return is assumed, which appears to be relatively high, currently often 8%.
Consider that a storage facility could break down, in the future, there could be another demand or a much cheaper storage facility could come onto the market. In each of these cases, the expected repayment would be risking and the entrepreneur would be "insured" with a planned return.

Exact calculation 


For an exact calculation of the costs of storing one kWh of electricity (or 1 MWh, the usual unit in the electricity market) one must, therefore, know many factors in advance. The most important ones are:
  • Electricity price of the electricity to be stored (P_elec-in)
  • The efficiency of the storage system (u (DOD))
  • The purchase price of the storage system (CAPEX)
  • Storage device lifetime (N Storage device lifetime in years)
  • Number of storage cycles (#cycles)
  • Expected return (r interest rate)
  • Operating costs (O&M

If you have all these figures collected, you can make a first simple calculation:

                   All costs
Costs per kWh = --------------- 
                  stored power

As simple as this formula may seem, it becomes complicated if future revenues and expenses are used correctly from a financial point of view. Then, for example, a kWh that you store in 5 years becomes smaller than expected, since you have to discount everything for the future (keyword: interest rate).

This discounting can be described by a sum formula which reads as follows:

The detailed formula for calculating the storage costs according to the Apricum calculation.
I assume that most people will be awed by the sight of this formula. But, strictly speaking, it does not say more than I have mentioned so far, only in one, for mathematically experienced people, plain way


Evaluation of LCOS with examples


Practically speaking, you can enter such a formula in Excel with a little patience and then start to calculate. I did this together with experts from the Imperial College in London, especially Mr. Schmidt[1], and determined the results for some systems.

Comparing important storage systems gives the following results:


Comparison of LCOS for different storage systems[1]
The graph shows that Gravity Storage and Compressed Air storage have almost the same initial cost (CAPEX) but the storage costs for a Gravity Storage System are lower because the efficiency is higher there and therefore less power (P-elec) has to be stored in the system to have the same amount of power available later.

The following assumptions were made for the estimation above:

Data used for the calculation above (click to magnify). [1]

How strong the impact of the yield (interest rate) is, can be seen if you calculate with 4% interest rate instead of 8% interest rate as shown above.

Change in LCOS at 4% interest rate. [1]

Although all other costs are unchanged, the storage costs for some systems, such as Pumped Hydro are significantly lower. However, the costs of batteries remain relatively high. What is the reason for this? The reason for this is due to the construction period, while battery systems can be connected to the grid within one year, systems with a construction period of several years require a lot of capital upfront until the first revenues are generated. If interest rates are low, this is less important.

Conclusion


I hope it has become clear at this point that the calculation of storage costs, especially if they are an investment of a company, is not easy to determine, but that there are known procedures for accurately calculating these costs.

Many private users of battery systems will rarely make such a calculation, it is often about the good "feeling" to have a store for one's own electricity, but unfortunately, this cannot be reflected in an investment decision.


Comments:

CAPEX = capital expenditures (capital costs)
LCOS = Levelized Cost of Storage
OPEX = operating expenditures (operating costs)

Sources:

[1] Schmidt, 2017, report: Levelized cost of storage.

Montag, 24. Oktober 2016

Global Demand for Energy Storage

Energy Storage Demand in a Sustainable World

The global transition to renewable energy production is in progress. Last year, 2015, more renewable power capacity, like solar and wind power, was installed as conventional capacity like coal and nuclear. Besides this nice development, there is a weak spot, the installed solar and wind capacity produce only when the sun is shining or the wind is blowing. For a full change to an emission-free world, we need energy storage.

How big is the storage demand on a global scale, this is hard to guess, because it depends on a lot of assumptions. I will try to make a good guess within this post.

The Global "Energiewende" 

I will not describe the "Energiewende" (change of the energy system) in Germany, I will focus on the global change. This makes sense because we have to change the energy system on the global scale to stop the carbon problem and limit the exhaustion of the scare fossil fuels. 

The strong growth of PV installations, about 70 GW are expected for 2016, continues the long-term trend of constant fast growing installations over the last decades. 

This trend will change the energy system as we know it today within two decades, to understand these let's look into the near history.

The growth of the energy consumption and the installed renewable energy production.
Consider the logarithmic axis of the installed power. Data source BP 
The first thing is, the electric power demand has a constant annual global growth of 3%. The installation of wind and solar power combined grows every year with 22%. The result will be, that somewhere around 2025, more fluctuating renewable energy is installed as conventional power plants. 

But be careful, the produced energy of wind and sun will still not match the demand, because they only produce energy when sunlight or wind is available. Resulting in the green line, which represents the mean renewable power generation. This line hits around 2030 the demand.

The result is, the next century will be dominated by the installation of storage to match the fluctuating production at any time with the global demand.

Influence to the Storage Demand

The main impact for the storage demand has the electric grid infrastructure. The reason is, that the grid is the most efficient way to transport the electric power from the source to the customer. Is the sun shining in the southern part of a country, it is efficient to bring the energy to the cloudy northern part. And similar, if the northern part has a lot of wind during the night it makes sense to bring the energy with the same grid to the customers in the southern part.

This results in a competition between grid and storage.

To find the economic optimum between power grid size and storage is complex
Theoretical, it would be possible, to span a global grid around the globe and connect this grid with all solar power plants. This would result in a perfect 24-hour solar power supply without any energy storage at all because the sun shines always at some places on our earth.

The main problem seems the high price of such a grid and the energy loss in the power line. The other extreme case is a power storage at home with a seasonal capacity (only necessary in the northern region) of 1000 kWh for every person in the house. Then we can go off grid, sufficient PV on the rooftop assumed. The price for the batteries may reach a million dollars, not affordable.

If we dive into detailed computer simulations as done by J. Tambke und L. Bremen [1] we learn, that a country like Germany needs a storage capacity of seven days after a complete conversion to wind and solar has happened and there is a perfect power grid, often called a copper plate. 

Expanding the area of the perfect grid connection to an area like Europe only two days of storage is necessary. If we are optimistic and assume a perfect grid of this semi continental scale we need only a storage capacity of two days.

Further Chances to Optimize

Besides the grid, another chance to minimize the storage demand is the so-called smart grid. Whenever possible, an energy consuming element in the grid goes offline if the power price is high or goes online if the price is low.

We don't know the exact possible amount of energy demand that can be shifted to other times but an optimistic guess might be, that 50% of the demand can be shifted in a way that the storage demand is halved.

Assuming this, we need only one day of storage if a smart grid and a continent-size grid is available.

Adding up the Numbers

The energy consumption in the world in the year 2030 will be around 4,000 GW. To store this energy over one day, we need a 24h storage system with a capacity of 96,000 GWh. Keep in mind, the Gigafactory of Elon Musk may produce 100 GWh per year. If all the storage is used for the global Energiewende, the production for this demand needs about 1000 years.

But be careful, other solutions may be available.  The energy stored in the lakes of Norway contains an astonishing amount of 80,000 GWh, although there is no pump, the stored volume can only be used once in a year and has to be refilled by natural perception.
Pumped hydro technology may be a good solution, especially the Gravity Storage system, a typical site can store about 8 GWh. We still need 10,000 Sites, but this seems to be more within practical reach, than a bure battery solution.  


References