Matching
electrical supply with demand is an important aspect of reliably powering
homes and industry; electric renewable sources make this issue more
problematic. Hybrid utilization of
sustainable technologies when used optimally can help alleviate stress on the
grid during peak usage. This post will
look at a study which uses computer analysis to maximize the return from hybrid
systems, both in terms of finances, as well as CO2 emissions. The article is titled “A New Method for
Energy Saving in a Micro Grid”, published in the journal “Sustainability”. The
link as well as citation can be found at the bottom of the post.
Why is this important?
Using
carbon free technology is the cleanest way to meet our electrical needs. The generation of electricity from wind
turbines and photovoltaic cells make carbon free energy generation
possible. The inherent indeterminacy with
these technologies makes matching demand a challenging problem.
When
electrical supply is insufficient to meet demand on the grid, blackouts and
brownouts occur. Due to the variability
in renewable electric sources of energy, careful management must be used to
ensure the correct amount of power is being generated. Unlike combustion applications, renewable
sources of electric energy are not varied by factors humans control. When the wind is slow, or when the day is
cloudy, electricity must be supplied by other means. Besides the intermittency of sustainable sources,
there is the issue with storage. Unlike
liquid, solid and gaseous fuels, electricity is not commonly stored. Using hybrid multi-energy configurations,
demand can be matched easier which would lead to stabilization in the
electrical grid. As we transition to
more sustainable sources, the problems associated with instability will become
much more pronounced, and smaller scale stabilization, will become more
important.
Use
of sustainable electric technologies on small scales is generally done with a
single system. The need for meeting peak
power usage, requires large systems, which incur hefty capital costs when
building a system to handle peak power requirements. Very little attention has been paid to using
multiple sources in conjunction with storage due to the inherent complexity. Case studies have been analyzed where small
scale hybrid technologies have been utilized, and they have shown to be more
cost effective than standalone technologies.
As
developed as most of the earth is, there is still a large portion of the world
for which electricity is not accessible.
Besides regional poverty, another issue that makes connecting to the
grid lies in the remote areas of many communities. Using transmission lines connecting to
existing power grids is highly unfeasible, so other solutions must be
constructed. As mentioned before, when
designing a simple sustainable system (single power generating technology) the
station must be built to withstand high demand, which in areas where cost is of
the utmost importance, leads to difficulties.
Mitigating capital costs, as well as operational expenses must be done
effectively.
The Experiment
What they did
Using
a computer simulation to model a real building with large power usage, a model was analyzed; two separate software packages were used.
TRNSYS was used to model the thermodynamics of the various components of
power generation, distribution (as process heat and electricity), and
simulating building energy flow. HOMER
(which is widely used in research) was used to optimize the system
configuration with a time varying approach.
It works with time steps of an hour, and for each step solves for the
necessary power from each component.
Using considerations for cost of energy production, cost of investment,
maintenance and fuel purchase, the software decides which conditions are
optimal to minimize financial expenditure.
The building previously contained a large diesel boiler (400 kW) which
was used for hot water as well as heating, as well as two large refrigeration
units (140 kW each). Using
previous transient analysis of this specific building, the thermal and cooling
loads of the system were identified for an entire year.
For
the simulations, a multi-energy system was implemented to compare costs as well
as CO2 emissions to the current system.
The energy generation implemented in the simulation (for heat and
electricity) included three items. A combined heat and power internal
combustion engine was used, which was fueled by natural gas (100 kW, 150 kW and
200 kW options were explored) was utilized for electricity as well as heat. Photovoltaic solar panels with peak power of
100 kW were also used for electricity. A
natural gas boiler was also used for heat generation. The systems were
evaluated on a 20-year scenario so the factors such as capital cost could be
considered more accurately than simply by using marginal cost.
Six
different configurations for energy production were explored. The
configurations had varying amount of power produced from the CHP station, as
well as supplemental grid power. Data
was collected for each run pertaining to net present cost of operation,
proportional quantity of electricity from each source, thermal load
distribution, cost of energy, and CO2 emissions.
For
the analysis of energy storage, three systems were looked at. Battery storage (Pb-Ac), flywheel, as well as
compressed air (Caes).
What they found
Energy production
The
first important result is that every single configuration used in the model was
more cost effective than the current situation.
Part
of the efficacy of these scenarios came from more efficiently meeting thermal
load requirements. Process heat from the
CHP unit was almost sufficient to meet all of the requirements of the
building. Even in the configuration with
the smallest CHP unit, there was less than 20% thermal load being generated
from the boiler. It was noted that the
boiler was generally used when the need for electricity was so low that the CHP
generator was not running.
On
a per unit basis, the cost of energy reduced from 0.17 €/kWh
(present configuration) to as low as 0.133 €/kWh, which was achieved with the largest CHP unit (200kw). This situation is extremely dependent upon
the price of natural gas.
Three
of the scenarios were highly dependent on the price of electricity, two were
highly dependent on the price of natural gas, and one was a more balanced
situation. It turned out the balanced
scenario was less than 2% more expensive per kWh than the cheapest (which, as
noted above, was highly dependent on natural gas prices).
When
looking at CO2 production, all of the situations
explored were significantly lower than the current configuration. There were three main reasons for this. Using natural gas instead of diesel fuel
produces significantly less carbon dioxide per unit electricity produced. Another key factor in reducing emissions was
the solar panels which are generated carbon free energy. Finally, using process heat from the CHP unit
is much more efficient than blowing hot exhaust gasses directly through exhaust
without utilizing some of the heat.
Energy storage
Due
to the short lifespan of the batteries, the cost of energy they produce,
operating costs were the most expensive for the batteries. The flywheel had the highest capital
investment, it has a very long lifespan, as well as a high conversion
efficiency. Compressed air was the least
expensive to operate, however, it has a very low conversion efficiency.
The
energy storage mechanism had the effect lowering demand on the grid during peak
times. This has a positive effect on
main grid stability, as lowering demand during peak hours helps maintain a
smaller gap between base and peak strain.
Thoughts
Although
the energy storage helped take strain off the grid (by moving peak usage away
from peak grid demand) it did not seem to be nearly as cost effective as
creating the electricity on demand (although this was dependent on current
natural gas prices). The cost was about
30% higher, which becomes more economically feasible in situations where a
significant price gap exists between peak and off peak electricity. As intermittent power generation supplies a
larger chunk of electrical production, the importance of reducing peak
fluctuations will become of the utmost importance. The inherent economic losses that are involved
with electrical storage (both by capital investment as well as system inefficiencies)
make it somewhat unattractive for individual micro grids to take on the
costs. It will be important to legislate
such a difference in prices to make these technologies more viable.
Although
it is not new information, this study helps show the importance of using
process heat. By using natural gas
(which burns hotter than diesel), the exhaust is able to be effectively
utilized as heat. Unfortunately mining
for natural gas is highly destructive to local ecosystems and is known to
contaminate groundwater heavily.
Although fracking is not done everywhere, it is a very common procedure
which does not seem to be ending soon. This
seems highly applicable to rural communities without access to a main grid for
a couple reasons. Besides the obvious
reasons about supplying electricity to areas where there is a lack, using a
gaseous fuel as wells photovoltaic cells as a means to generate electricity
areas can locally utilize available resources.
For most rural areas, even where natural gas would be difficult to obtain,
biomass could be gasified and used in such a system.
It
would be interesting to see the results of this study carried out using values
for biogas. Even though it has a lower
methane content, it would likely still be highly effective in a CHP system. This could also be highly applicable to rural
areas, which commonly have access to biomass.
Combining gasification of biomass in this approach would be a great way
to mitigate costs as well as atmospheric carbon generation. Even
if biomass is used (with a near net zero carbon emission) it could be taken one
step further. Although this seems more
applicable to larger scale operations, if waste treatment is processed locally
to the generation, algal farming can be done as a means to process waste, and
sequester carbon; for now, however, it may be best to expand the processes one
step at a time.
What do you think?
Any comments or thoughts are appreciated!
Andrea
Vallati, Stefano Grignaffini, and Marco Romagna. “A New Method to Energy
Savings In a Micro Grid” Sustainability
7 (2015) 13904-13919. doi:10.3390/su71013904