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How to get the most out of (Vegetable) Waste Oil for your Small or
Medium Business: CDA-ESM can help you to select the best option


By C. Oboni and F. Oboni, Oboni Riskope Associates Inc. www.riskope.com



Introduction

Reportedly, some fast food chains started (2007) to use their waste cooking oil to make biodiesel. In 
one example encompassing 1200 restaurants, the entire corporate truck fleet of 155 vehicles was 
converted to biodiesel, which means 6.1 million liters of waste oil put to use on the roads. Other 
sources reveal that McDonald's trucks in Austria have been using biodiesel "for a few years." 
http://green.autoblog.com/2007/07/02/mcdonalds­will­make­biodiesel­from­its­own­waste­grease­
for­tru/

Biofuels summary:
The most known form of biofuels is called Biodiesel (BD in Europe, B in the USA). Pure vegetal BD bear 
the index 100 (BD100), whereas mixes with oil derived diesel bear an index related to the ratio of vegetal 
product: thus BD20 means a diesel cut at 20% with vegetal oils.
These products have international specs (ISO 14214, ASTM D 6751, DIN in Germany).
Biodiesel is ten times less toxic, than kitchen salt. It is a better solvent than normal diesel and as a result it 
can damage some joints and pipes in older (before '92) standard diesel engines, but can also “clean­up” 
residues, scaling etc. in engines.
Biodiesel is not explosive, biodegradable and normally has lower emissions than standard diesel. 
Biodiesel reduces net emissions of Carbon Oxyde (CO) by 50% and Carbon Dyoxyde (CO2) by 78.45%, 
because the emitted carbon is the one resent in the vegetal, and not one “trapped” underground and brought 
to the surface.
Biodiesel is practically exempt of aromatic hydrocarbons, thus emissions of benzopyrens are reduced to a 
maximum of 71%; it does not emit Sulfur, as it does not contain any: it reduces fine dusts to a maximum of 
65%. However, biodiesel produces more Nitrogen Oxydes (NOx) than oil derived diesel, a problem that can 
be solved by inserting, for example, catalyzers in the exhausts of diesel engines.
Waste vegetal oils can be valued as fuel, whereas they do represent a cost if disposed of. Thus they 
overcome difficulties linked to taking away normal agricultural land use to supply the fuel industry, which 
can generate spikes in food prices, as we have seen in the last years. Therefore Waste vegetal oils constitute 
a sustainable resource.


In order to show how Comparative Decision Analysis­Economic Safety Margin (CDA­ESM) can 
help in the selection of the best Vegetal Waste Oil management alternative, we will consider as an 
example a restaurant, i.e. a commercial kitchen (for example an ”average sized” fast food restaurant, 
of roughly 150m2, or less than 500m3 construction volume) or any equivalent Medium Sized 
Business (MSB). 

The MSB's Management wants to find a better way to deal with their waste frying oils, but also 
wants to avoid the implementation of the filtering station necessary for an automotive use of its 
waste oils1. Furthermore, the MSB does not have enough vehicles to make the fleet conversion 
economically feasible/reasonable.

Management is also fully aware that, reportedly, some large chains like Burger King and 
McDonald’s would like to utilize frying oil to heat water, but has heard they don’t have the space for 
a redundant system and fast­food restaurant personnel may not have the time nor the ability to 
operate a more complex burner system. However, Management has recently learned that there are 
off­the­shelf solution with burners capable of burning waste oils that are simple to use, can even 
accommodate several fuels, and, with some restrictions, can be inserted in existing furnaces, thus 
avoiding expensive replacements.

Management has therefore to decide whether they want to maintain the status quo, i.e. the presently 
active waste frying­oil management/disposal or to switch to a new installation which would include 
a burner capable of using those waste oils to generate useful heat. The new installation should not 
be redundant (no need for extra room) with the present one, and should either use the existing 
furnace with a new burner, or replace the old system with a brand new one.

This paper shows how to set up the data necessary for the alternative selection using an innovative 
alternative evaluation methodology called CDA/ESM (Comparative Decision Analysis/Economic 
Safety Margin) (C.+F. Oboni, 2009). CDA/ESM brings to MSBs the opportunity to apply Risk 
Based Decision Making to the alternative selection process and to explore how two code compliant 
and perfectly legitimate alternatives may differ on the long term, not only in their costs, but also in 
their risk profile (upside and downside risks, i.e. opportunities and failures).

CDA/ESM eliminates the pitfalls of NPV (see below) and has been used at preliminary design level 
(Oboni and Oboni 2007, 2008; Oboni 1999­2000, 2005) to support decisions in many 
industries/situations by comparing alternatives in financial terms, including:
a) life’s cycle economic balance encompassing internal and external risks and 
b) project implementation and demobilization costs and risks.

CDA/ESM has been successfully applied to date to industrial alternatives such as: rope v.s. road 
transportation, surface v.s. underground solutions, environmental rehabilitation projects, water 
treatments alternatives, transportation networks and go/no­go decisions.

CDA/ESM   is   particularly   useful   when   comparing   long   term   projects,   as   its   “risks   included” 
cumulative cost evaluation eliminates the “zeroing effect” and the “rosy scenario syndrome” linked 
to NPV (See Web Pages in References). It has already been shown in many instances that attempts 
to tweak the NPV to include risks are generally misleading (C.+F. Oboni, 2009).




1Vegetable oils have to be treated, reducing their viscosity, in order to be used in modern diesel 
engines without damage. Old diesel engines worked with more viscous fuels and thus would still 
run undamaged with untreated vegetal oils. 
Description of the Case Study

The Medium Sized Business (MSB) under consideration has to dispose of appx. 5,000 liters of 
waste vegetal (frying) oil per year. The MSB could be a commercial kitchen (for example an 
”average sized” fast food restaurant, of roughly 150m2, or less than 500m3 construction volume).
The MSB's Management is examining various alternatives to its waste oil management, such as:

1) Maintaining the status quo (disposal and using mineral oils/gas to provide heat and hot water).
2) Replacing the furnace/boiler with a new model allowing to burn the vegetal waste oil.
3) Replacing only the burner with a new one capable of burning vegetal oils.

Of course in case of the last two alternatives' selection the new burner will have to be compliant 
with environmental protection regulations, using vegetal waste oils. Alternatives 2,3 would allow 
the MSB to stop the long term contract they have with a waste oil disposal company and 
reduce/eliminate their use of mineral oil/gas. 
The selected time horizon for the analysis is twenty years.

The Status Quo alternative (1) encompasses a contractual arrangement with a company that picks 
up and legally disposes the waste for the MSB for a given lump sum annual fee. The contract 
foresees penalties if the volume is larger/smaller than ±5% than the contractual value. There is also 
an exit fee if the contract is stopped by the MSB before its term.

Burning waste oil on site (2,3) will generate heat that can be used for sanitary/process water and 
heat. In this case MSB will have to pay the early stop penalty.

Of course, each one of the paths, including Status Quo, has its own risks that should be considered 
in the decision making process/ alternatives' evaluation.


Classic decision making

In a case like the one under consideration, the MSB's Management would likely make the decision 
based on “guts feelings”, or, at best, use the Net Present Value (NPV) to compare alternatives.
NPV is a very widely used evaluation technique which uses a number of assumptions, including a 
major one on the financial discount rate, to define a number, the NPV, which represents the amount 
of money one would have to put in the bank to obtain the same final result (gain or loss) than one's 
project, at the end of its life. NPV, by its own nature, underestimates anything that happens far away 
in the future ­to cover a large expense twenty years from now, one could invest a small amount and 
let it grow, so the NPV of that future expense is minuscule compared to expenses that will happen at 
the beginning of the project's life (Answers Corporation. 2009. http://www.answers.com/topic/net­
present­value#Common_pitfalls) .

There is one additional major problem with NPV: in its classic implementation people insert yearly 
expenses, yearly income, and NO risks! Thus the alternative displaying the best NPV may turn out 
to be a ruinous one on real life!
Risk Based Decision Making: preparing the data for CDA/ESM

Before being able to evaluate alternatives with CDA/ESM, thus avoiding the NPV pitfalls (see 
above), we need to perform a hazard identification on the three alternatives, and evaluate the 
probability (likelihood) of occurrence of each hazard, together with the cost of consequence of an 
occurrence of that hazard, thus leading to a summarized risk evaluation.

The tables below summarize the data for each alternative. 

The column “Cost of consequence” defines, when needed, several magnitude scenarios. 
For example the first line of Alternative 1 displays the maintenance/replacement of the traditional 
burner: Scenario (1) depicts the “normal wear and tear” covered by the “normal maintenance” costs 
(which will be inserted in the analysis not as a single value, but as a average, min­max cost range), 
whereas scenario (2) depicts the possible need for full replacement (which will again be inserted as 
a min­max range and an average cost).
In the “Likelihood” column, each scenario and cost of consequence will be paired with a 
probability/likelihood which will be determined quantitatively using for example the technique 
described in http://foboni.wordpress.com/2009/11/04/easy­way­to­defining­probability­of­a­fire­in­
a­residential­area­of­vancouver/ 

                                 Alternative 1: Status Quo
Element/Hazard                     Cost of consequence                Likelihood
Burner to maintain/replace with  1)Yearly maintenance costs           1) almost certain, yearly
standard one if need be          range
                                 2) Replacement cost                  2) depends on the present state
Furnace replacement                Replacement costs                  Depends on the present state
Fuel costs variations              Could go up:                       Decreasing likelihoods:
                                   1) 50% (average, min­max)          1) 
                                   2) 100% (average, min­max)         2)
                                   3) 300% (average, min­max)         3)
Penalties if variaton of volume  Based on contract                    Based on business volumes 
to dispose                                                            forecast
Escalation of price to dispose     Use various scenarios              Based on scenarios
Etc.

Running costs to be inserted in the analysis of Alternative 1 will of course be the “usual” cost of 
fuel, and “usual” cost of disposal.

In Alternatives 2,3, there will be no “usual” cost of fuel unless future legislation would forbid the 
use of waste oils completely (there are scenarios for legislative changes that would enforce the 
implementation of catalytic converters or pre­treatment of the waste oil).

Also, in alternative 2,3 the possible need to install an additional tank to allow feeding the system 
with an “emergency” fuel, in case the business would not be self­sufficient have been taken into 
consideration.
Alternative 2: Furnace and Burner Replacement
Element/Hazard                    Cost of consequence                     Likelihood
Furnace and Burner                Average, min­max estimates              Certainty: it will be done if 
Implementation                                                            alternative is selected!
Penalty for stopping the          See contract                            Certainty: it will be done if 
disposal contract                                                         alternative is selected!
New burner maintenance            1)Yearly maintenance costs              1) almost certain, yearly
                                  range
                                  2) Replacement cost                     2) extremely unlikely
Implementation of special          Average, min­max estimates             Based on business volumes 
fixture (additional outside tank)  including possible cost of the         forecast
to cope with possible deficit of  “emergency” fuel
waste oil
Overcosts in case future laws     Scenario:                               Likelihood:
prohibit waste oil burning as     1) preliminary treatment                will require discussion with 
foreseen today                    2) need a catalytic converter           local authorities to allow 
                                  3) requires switching to other          determination of likelihood
                                  fuel (NB: this is a catastrophic 
                                  scenario, as it means reverting to a 
                                  waste oil disposal through a 
                                  company, buying fuel etc.)
Furnace replacement               Replacement costs                       Extremely low (new furnace)




    Alternative 3: Burner Replacement (implemented in old furnace)
Element/Hazard                    Cost of consequence                     Likelihood
New burner implementation         Average, min­max estimates              Certainty: it will be done if 
                                                                          alternative is selected!
Penalty for stopping the          See contract                            Certainty: it will be done if 
disposal contract                                                         alternative is selected!
New burner maintenance            1)Yearly maintenance costs              1) almost certain, yearly
                                  range
                                  2) Replacement cost                     2) extremely unlikely
Implementation of special          Average, min­max estimates             Based on business volumes 
fixture (additional outside tank)  including possible cost of the         forecast
to cope with possible deficit of  “emergency” fuel
waste oil
Overcosts in case future laws     Scenario:                               Likelihood:
prohibit waste oil burning as     1) preliminary treatment                will require discussion with 
foreseen today                    2) need a catalityc converter           local authorities to allow 
                                  3) requires switching to other          determination of likelihood
                                  fuel (NB: this is a catastrophic 
                                  scenario, as it means reverting to a 
waste oil disposal through a 
                                       company, buying fuel etc.)
Furnace replacement                    Replacement costs                      Depends on the present state
Etc.



CDA/ESM Analysis

Once all the data for the three alternatives are ready, the CDA­ESM application can be launched.
The result will be a detailed year by year evaluation of the performances of each alternative, 
including their specific risks, leading to a sensible comparison thus enabling a rational and a 
sustainable Risk Based Decision Making.


Conclusions

The aim of this paper is to show how innovative evaluations techniques can be used by small and 
medium sized business to select among alternatives.
Thanks to CDA­ESM the power of Risk Based Decision Making is now available to small and 
medium sized businesses. 


References

F. Oboni. 1999­2000. Risk/Crisis Management Systems Design, University of British Columbia
F. Oboni. 2005. Do Risk Assessments Really Add Value To Projects?. CIM, Ottawa
F.   Oboni   and   C.   Oboni.   2007.   “Improving   Sustainability   through   Reasonable   Risk   and   Crisis 
Management”. ISBN 978­0­9784462­0­8
F. Oboni and C. Oboni. 2008. Oboni, Risk and Decision Making. www.edumine.com
C.   Oboni,   F.   Oboni,   2009,   Stop   Procrastinating!   NPV   is   Dead:  Use   Risk   as   a   Key   Decision 
Parameter, CLRA Meeting, Quebec City.




                                                 APPENDIX
This Appendix is based on recent research from one of the leading technical universities of Italy 
(Zecchinato, L., Utilizzo di olii vegetali a scopo energetico, Politecnico di Torino, Facoltà di 
Ingegneria Chimica, 3­2008). 
The research report states that “for the tests we have used a burner AR­CO BR5, a low pressure 
burner built to burn Naphta, Fuel, Vegetal Oils, or Wasted Oils (mineral or vegetal), pure or in 
mixes, as needed (www.arcobruciatori.it ). The burner works under the principle of low pressure 
and emulsioning, i.e. by mixing a part of the primary combustion air with the fuel. Thanks to this 
principle, with a good air­fuel mixing already in the compressor and with the spraying through a 
specially made nozzle, the burner produces very low emissions with any of the tested fuels, in 
compliance with the Italian and most emission codes.”
The figure below summarizes the reasearch results for combustion tests of Refined ­R­ or Unrefined 
Canola oil in a AR­CO BR5 burner, with various levels of pre­heating (55 0C, or 90 0C). In 
addition, the same plot depicts the results of tests performed on a modified AR­CO BR5, to 
cope with countepressures ranging from 0mb to 3.35mb, burning waste frying oil ­F­. Le prove 
sono state effettuate da noi e la contropressioni di 3.5 viene vinta anche dal non modificato BR5
It can be seen from the plots (CO, NOx expressed in ppm as a function of the excess air applied to 
each text) that the burner is perfectly capable of burning waste frying oils, with low emissions even 
with fairly high counter pressures common to modern furnaces.


                          Canola OIl Combustion Tests (R=refined, F=Fried), AR­CO Burner BR5
                          For F tests, burner is modified to be used with counterpressures at marked values

                                                    2117


                                                        1000           966
                                                          810793
                                                              781                1158               CO55
                                                                       861 912                      CO90
                                                             713
                                                      678 658492                                    CO90R
                                                        600                                         F CO counterpressure=0
                                                         391
                                                     332 420                                        F CO counterpressure=0.85­1.3
 PPM (CO, NOx)




                                                                                                    F CO counterpressure=2.5­3.35
                                                    302 286                                         NO x 55
                                                                                                    NO x 90
                                                                                                    NO x 90R
                                                                                                    NO x counterpressure=0
                                                                                                    NO x counterpressure=0.85­1.3
                                                                                                    NO x counterpressure=2.5­3.35
                                                    64 65 59
                                                        62
                                                    53 53 56 52
                                                                       36 33
                                                      42 40
                                                              36
                                                           3534                  28
                                                                        29
                 20
                      0         0.5             1               1.5                2          2.5

                                                    Excess Air Index

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