The transition to a renewable-based economy is not going to be easy. We
shall need all the oil and gas we can get to fuel it and models show that,
even then, it is going to be hard to maintain economic growth while keeping
unemployment low.
The objective of a net energy calculation is to
determine the overall amount of primary energy
dissipated in order to bring one unit of fuel into
use. The result will vary with the energy type,
the degree of depletion of the source, and the
nature of the deposit. It will also vary with time
and technology. The approach is a uniquely
valuable concept in economic analysis, payback
time estimation, life cycle analysis and the efficient
allocation of capital resources between
competing energy technology systems.
It is also a very simple concept, though certain
procedures have to be taken if the results of
analysis are to be meaningful. The most important
of these is system boundary: this has to be
fixed to ensure that everything is taken account
of from the moment a primary resource leaves
the ground (or wherever) to its delivery to the
market as a directly usable fuel.
The first step in calculating net energy is to
determine what are all the inputs, other than
labour and management, that are drawn in when
a primary energy source is extracted and transformed
into a marketable fuel or fuels. If there
is capital stock involved, as must almost certainly
be the case, then its embodied energy,
amortised, must be included. If there are material
inputs, their embodied energy must also be
counted. Figure 2B1 offers a scheme for this
analysis.
It is clearly advantageous to have an agreed set
of conventions for such calculations so that
numbers can be compared, and conclusions
reliably drawn. In 1974, following the first
OPEC oil price hike, there was a flurry of energy
analysis calculations ranging from the energy
to produce a loaf of bread to the production
of a kWh of electricity via a nuclear reactor.
The chaos of methods at that time, not dissimilar
from the disparity of corporate accounting
conventions today, called for action. The
International Federation of Institutes of
Advanced Study (IFIAS), which was launched
in the aftermath of the Stockholm Environment
Conference in 1972, asked me to pull together a
group to work out an appropriate set of conventions.
I was given carte blanche to travel round
the world to find appropriate activists. The
group that met in Guldmedhytten, Sweden, in
1974 comprised economists, engineers, system
analysts, chemists, physicists, academics and
corporate managers. In one week of resolute
discussion they produced a set of conventions
summarised in the booklet called 'Energy
Analysis, IFIAS Report 6'. Amazingly there
was a 100% consensus.
Unfortunately this book was not given an ISBN
number and with the demise of IFIAS is now
unavailable. I am told it can be obtained from
the British Library, Boston Spa. However an
adequate summary is given in chapter 12 of my
1978 publication Energy in the Economy.1 A
less detailed but wider ranging exposition, also
published in 1978, is still available from the
International Institute for Applied Systems
Analysis.2
The IFIAS convention defined two important
units of account:
(I quote) 'The gross enthalpy of combustion
released at standard state of all the naturally
occurring energy sources which must be consumed
in order to make a good or service available'.
The standard state is the one frequently
adopted in physico-chemical texts, namely 0ºC
and 1 bar pressure.
If one now subtracts from this GER the available
enthalpy in the fuel delivered, the difference
is the net energy. IFIAS called this the
Energy Requirement for Energy, ERE.
ERE = GER per unit enthalpy of delivered fuel.
Note the use of the word 'requirement'. One
often hears the use of the word 'energy cost'
used in the sense of the amount of energy
embodied or used to in producing something.
This could also imply monetary cost, hence the
strict use of the world 'requirement' in the
IFIAS conventions.
Another convention well worth following is to
use distinct numeraires for electricity and heat
(enthalpy). Thus watt-hours or a multiple thereof
for electricity (which has high thermodynamic
potential), and an enthalpic unit for heat,
such as Mega-joule (MJ), Giga-joule (GJ),
Tonnes oil equivalent (TOE) or even barrels (of
oil). Unfortunately several statistical sources,
such as in the UK, have chosen to use watthours
as representing heat units. So if using
such sources beware. It may be seen that with such a definition ERE
is always greater than unity, and the larger the
value the poorer the yield and the more energy
that is dissipated in converting it into a fuel useable
by the market. For example the ERE of
North Sea oil is in the region of 1.03, whereas
tar sands in Canada are closer to 1.15. An
important criterion, often overlooked, is the
area requirement, that is the net energy per unit
area. This is a particularly important criterion
when evaluating biomass-to-energy proposals,
such as alcohol from maize, or heat from wood
fuel.
Working out the numbers for any particular fuel
type and source is complicated by the fact that
it almost always invokes a contribution of electricity.
Now 1 kWh of electricity has, by definition,
a heating value if 3.6 MJ. However creating
this from some heat source will require
between 2.5 and 3.5 times 3.6 MJ, according
the fuel type and technology transformation.
This is because electricity has a very high thermodynamic
work potential. The potential efficiency
of conversion of heat to work may be
determined through the Carnot equation3 .
The fuel used will also have gone through some
extraction and purification processes. The
upshot, for the case of the UK is that to deliver
1 kWh to a commercial user in the UK in year
2002 dissipates 14.3 MJ primary energy per
kWh delivered.
Two conceptual problems arise when the electricity
source is from nuclear energy or renewables.
Some international statistics attribute to
electricity a value of 3.6 MJ/kWh, while others
attribute the heat dissipated in the transition.
This latter is the more accurate representation,
but not perfect since, for example, not all
nuclear fuel is burnt. It is a reminder to us all
that energy statistics are far from precise and
are affected by a number of questionable conventions.
In the case of renewables, except for the energy
embodied in the structure (of, say, a wind or
wave turbine), there is no fuel requirement. In
my view it is correct to take the primary energy
content of the delivered electricity as being the
fossil energy embodied in manufacturing and
the delivering the turbine to site and its subsequent
maintenance. With this convention the
primary energy of wind turbine electricity in the
UK today may be said to be around 0.2
MJ/kWh.
It is not heat that drives the economy, but thermodynamic
work. In the UK about 55% of all
heat is converted to thermodynamic work, often
at very low efficiency as in a petrol engine.
Strictly speaking all energy analyses ought to
be conducted in these terms, but the data
requirements are formidable. Indeed there is
only one now famous example of this being
done, that of Berry and Fels.4 The alternative,
advised by the IFIAS group, is to express GER
and ERE in terms of energy sources of a standard
quality - the definition of this being the
extent to which the heat of combustion could be
turned into work. As it happens hard coal, natural
gas and hydrocarbons have values within
2% of each other, and since no analysis can be
that accurate, this is the adopted standard. Note
that wood fuel and alcohol fuels have considerably
lower potentials. Electricity has almost
100% availability as work.
These calculations are made vastly easier if
there is at hand an energy numeraire (i.e.
Natural Capital Accounting/ ECCO) model of
the economy. Such models are constructed to
determine the elements of each conversion and
then to assemble them as an overall system
average. This average value will change as the
energy mix changes through time.
Thus a fairly accurate value can be determined
at any moment in time for the average amount
of primary energy dissipated to deliver one unit
of marketable heat to the market. In the ECCO
model framework this is known as SYSGER -
System GER (GJ in per GJ delivered). Such
models also deliver another useful average,
FEREL: the average fuel energy required to
deliver one unit of electricity (GJ per kWh).
This can be taken back to primary energy by
multiplying FEREL by SYSGER to get
GEREL - the average primary energy input to
produce one kWh of electricity, which as
remarked above is about 14.3 for the UK in
2002.
Such models exists for the UK, Scotland and
many other countries. David Crane and Larry
Staudt have developed an ECCO model for
Ireland that is described in this book.
The application of the above principles to
renewable energy sources is simple. The inputs
are human-made capital, that is to say output of
the manufacturing system, its delivery to site
and erection and its expected lifetime maintenance
and the infrastructure of delivery. This
input can then be set against the output expected
over its anticipated lifetime. Since most
renewable systems deliver electricity how does
one measure the net energy? Well, let us suppose
that a particular wind farm cost £700,000
per MW capacity (1.05 million Euros). Using
UK data, from the UK ECCO model we know
that the energy intensity of human-made capital
in a given year was (18MJ/£). Hence an approximate
value for the energy embodied in the turbines,
etc. will be 12,600 GJ. Let us add another
20% for lifetime maintenance, making
15,000 GJ over its lifetime of, say, 30 years.
The potential yield from a one MW turbine is
8760 MWh/year (8760 hours in a year) or 283
thousand kWh over 30 years. However the wind
does not always blow. UK averages are about
28% (load factor 0.28) of this potential. Thus
the yield over its lifetime is about 75 million
kWh. That makes the energy embodied about
0.2 MJ/kWh.
Taking UK figures, as remarked above, the
GEREL for the UK is 14.3 MJ/kWh. Hence had
these 75 million kWh been generated from fossil
or nuclear sources, the equivalent of 1.05
million GJ of primary energy would have been
required. The initial energy investment, therefore
is returned within 15,000/1,005,000 = 0.43
of a year or 5 months.
From this data set it is easy to calculate how
much carbon dioxide will be reduced. If one has
an ECCO model this data will be generated
automatically
Note, however, that as the fossil or nuclear sector
becomes more thermodynamically efficient,
or as renewables penetrate, the relative advantages
will diminish. That is, the payback time
will increase. Eventually with a 100% renewable
electricity there is potential for, as it were,
energy breeding.
There are other renewable energy systems such
as photo-voltaics where the pay-back times are
not so favourable. The energy embodied in
these devices depends on the type of cells.
There are highly efficient cells used in space
satellites, whose net energy is certainly negative,
but in such a situation this is not the important
criterion. However for terrestial uses, there
is no point in a negative net energy system. It
would be like a farmer having to use all his crop
to plant next year's crop and have to buy in
more seed as well. The energy embodied in
photo-voltaic cells is certainly falling. A recent
figure quoted in then literature was 100,000
GJ/MW. Such cells tend to have lower load factor
than wind turbine. 13% is often quoted. On
this basis the pay-back time would be about 6
years.
The Achilles heel of renewable-generated electricity
is the variable output and low load factor,
which means that if there were ever to be a high
degree of replacement of conventional means of
generation, some means of storage are needed.
Two obvious ones spring to mind: pumped storage
and conversion of electricity of hydrogen
by electrolysis of water, a well developed technology.
It takes 385 kWh to create one GJ of
hydrogen, but at low voltage. As a renewable
based economy develops one assumes that it
will become more and more electrically driven,
but storage will remain expensive in net energy
terms. The single greatest problem will be in
transport fuels, where fuels cells will be the
dominant device using methanol or hydrogen.
The key thing to look at here is that the supply
train will now be reversed. Instead as now, of a
flow from primary energy to fuels to electricity,
we shall have electricity to hydrogen to fuel
cells.
The transition to a renewable-based economy is
not going to easy or cheap. We shall need all the
oil and gas we can get to fuel it. A recent study
I helped to carry out for the European
Commission6 showed that for the European
Union to switch to a renewable energy economy
was not going to easy, especially if we
expect to hold on to what seems to me to be
three entrenched criteria:
In fact the study, which used an ECCO model
of the European-15 showed that all three
criteria could not be met simultaneously.
Compromises on material welfare - the growth
rate - were inevitable. In fact the three targets
set for us by the European Commission were to
Each of these targets requires a set of policies to
achieve it. According to conventional thinking
the policies might be as follows:
To avoid burdening the reader with a torrent of
results, the effectiveness of each set of policies
in attaining its aims was judged by comparing it
with a benchmark called business-as-usual
(BAU). Here we assumed that all current policies
and trends in the European Union continued
unchanged over the next fifteen years to
2015.
Of course, such an unchanging evolution of the
economy will not happen. As events unfold,
new initiatives, new technologies and new
options will be grasped. However it is useful to
be informed of what might happen if nothing is
done because then politicians can take time by
the forelock and obviate some of pitfalls lying
ahead!
Here is the business-as-usual (BAU) outcome
for the European Union's current fifteen countries
(EU-15) for the year 2015 compared to
1999:
If we adopt Keynesian policies and borrow to
make the economy expand faster to reduce
unemployment, we calculated the results in
2015 would be:
However the cost of all this was a huge rise in
EU-15 external debt. Moreover the employment
objective was met at the expense of reduced
environmental and physical sustainability. We
concluded that non-indigenous growth was not
a sustainable path, nor the right way to reduce
unemployment.
What happens if we concentrate on cutting carbon
dioxide emissions by massive investment in
energy efficiency measures? Here is the outcome
by 2015.
In short, this strategy shows a huge improvement
in output per unit energy use and a significant
reduction in carbon dioxide, meeting EU
commitments. However it does nothing for the
curse of unemployment and the material standard
of living falls.
So what happens then if we make greater energy
self-sufficiency the priority since, in both
tests described so far, the EU-15 became
increasingly dependent on fuel imports even
with a major effort towards conservation?
Could a fast track investment programme in
renewable energies improve matters? To investigate,
we assumed a deliberate government-led
programme of investment in renewable energy
systems: a mix of wind turbine and photovoltaic.
Such a policy would be considered wildly
uneconomic, at least in the early stages. We
assumed too that the resulting growth in renewables
would be accompanied by a learning
curve resulting in an eventual halving of the
amount of human-made capital required per
unit of power over the trial period. This was the
outcome by 2015:
So, although self-sufficiency in energy was
improved, the other outcomes made this an
unattractive policy. The reduced output and
increased unemployment were directly due to
the massive diversion of capital to investment in
renewables which, because of their low load
factors, require about three times as much
investment per unit output as conventional or
nuclear energy sources.
What was clear from these trials is that though
it is possible to solve one problem, all three
cannot simultaneously be solved. This is an
important insight and leads to a search for a set
of policies that better meets one's aims.
A renewable-based economy is certainly possible
so far as the supply side - nature - is concerned.
The investment requirements are going
to be formidable - greater than with nuclear
power. The transition will take time and require
the embodiment of much energy. To make this
transition we shall need all the fossil fuels we
can get. And the sooner we start the easier it
will be. We certainly will have to start before it
becomes 'economic' using that word in its traditional
sense. This is where examining new
energy proposals in the light of net energy are
immensely valuable.
1. Slesser, M, (1978), Energy in the Economy, Macmillan, London, ISBN 0-333-21495; chapter 12 This is one of almost 50
chapters and articles in the 336-page large format book, Before the Wells
Run Dry. Copies of the book are available for £9.95 from Green Books.DOING THE SUMS
GROSS ENERGY REQUIREMENT (GER)
ENERGY REQUIREMENT FOR ENERGY
HEAT AND WORK
MODELS
RENEWABLE ENERGY SOURCES
ENERGY STORAGE
EXAMPLE
CONCLUSION
REFERENCES
2. Slesser, M (1978), Energy Analysis: its utility and limits, RM-78-46, IIASA, 2361, Laxenburg, Austria
3. The Carnot equation states that the maximum fraction of a quantity of heat that can be turned into work (in
the thermodynamic sense) is given the ratio (temperature of the heat source - temperature of surroundings (sink)) / temp of heat source, in units of absolute temperature. Thus 100% efficiency of conversion is
unattainable.
4. Berry, S & Fels, M (1973), 'the energy cost of automobiles', Science and Public Affairs, Dec. issue.
5. That is Gibbs Free Energy. These data were published by the American Physical Society in 1974
6. Modelling a socially and environmentally sustainable Europe, Contract SOE1-CT96-1018, under the
Targeted socio-economic research programme (TSER), technical report published by the Wuppertal Institute,
Germany, 1998. In this study the European Union 15 countries are treated as a single entity.