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1 ECONOMIC EVALUATION OF ENERGY SAVING MEASURES IN A COMMON TYPE OF GREEK BUILDING Yiannis Nikolaidis , Petros A. Pilavachi , * , Alexandros Chletsis Department of Mechanical Engineering University of Western Macedonia, 50100 - Kozani, Greece Department of Technology Management University of Macedonia, 59200 - Naousa, Greece ABSTRACT This paper deals with the economic analysis and evaluation of various energy saving measures in the building sector, focusing on a domestic detached house in Greece, i.e. in a typical Mediterranean climate. In order to detect the energy saving measures that, in addition to energy benefits, can also provide economic profits, the study examines the following measures: all kinds of insulation; upgrading of the heating system; use of thermal solar systems; upgrading of lighting; upgrading of electric appliances; upgrading of the cooling system. The economic evaluation methods used for ranking the energy saving measures are the Net Present Value, the Internal Rate of Return, the Savings to Investment Ratio and the Depreciated Payback Period. It has been found that amongst the most effective energy saving methods are the upgrading of lighting, the insulation of the roof of the building and the installation of an automatic temperature control system. Key words: Detached house; Energy saving measures; Economic evaluation; Ranking of measures; Greece * Corresponding author. tel: +30–24610–56640, fax: +30–24610–56641. E-mail address: [email protected]

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ECONOMIC EVALUATION OF ENERGY SAVING MEASURES IN A COMMON

TYPE OF GREEK BUILDING

Yiannis Nikolaidis , Petros A. Pilavachi , *, Alexandros Chletsis

Department of Mechanical Engineering

University of Western Macedonia, 50100 - Kozani, Greece

Department of Technology Management

University of Macedonia, 59200 - Naousa, Greece

ABSTRACT

This paper deals with the economic analysis and evaluation of various energy saving measures in

the building sector, focusing on a domestic detached house in Greece, i.e. in a typical Mediterranean

climate. In order to detect the energy saving measures that, in addition to energy benefits, can also

provide economic profits, the study examines the following measures: all kinds of insulation;

upgrading of the heating system; use of thermal solar systems; upgrading of lighting; upgrading of

electric appliances; upgrading of the cooling system. The economic evaluation methods used for

ranking the energy saving measures are the Net Present Value, the Internal Rate of Return, the Savings

to Investment Ratio and the Depreciated Payback Period. It has been found that amongst the most

effective energy saving methods are the upgrading of lighting, the insulation of the roof of the building

and the installation of an automatic temperature control system.

Key words: Detached house; Energy saving measures; Economic evaluation; Ranking of measures;

Greece

* Corresponding author. tel: +30–24610–56640, fax: +30–24610–56641.

E-mail address: [email protected]

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1. INTRODUCTION

One of the most important problems which global community has to face is the increasing rate in

the destruction of the environment, which unfortunately has reached a critical point nowadays. At the

same time, decrease in fossil fuels results in a considerable increase in the price of oil and its

derivatives. Moreover, the growing concern for the safe transportation of fossil fuels as well as the

increase in energy demand reinforce the scaling-up of oil prices, leading almost every day to

historically high levels. In Figure 1, the fluctuation of crude oil prices in the last few years is

presented.

Τhe rising price of oil, the excessive use of energy resources and the continuous decrease of

reserves of fossil fuels render imperative the need to consider ways for energy saving in the industrial,

transport and building sectors. Regarding the energy saving in the building sector, there is an ongoing

discussion in Greece on the Directive 2002/91, whose objective is to promote the improvement of the

energy performance of buildings within the EU, taking into account outdoor climatic and local

conditions, as well as indoor climate requirements and cost-effectiveness. Moreover, the feasibility of

renovation measures is also considered.

During the last 30 years, there have been a number of publications, concerning energy

conservation measures in various types of building. A small part of these publications examine the

economic dimension of energy saving measures. Freund [1] was amongst the first who addressed the

cost-effectiveness of energy saving measures in buildings and provided examples for buildings in the

United Kingdom. He mentioned that these measures can be regarded as investments, which should be

evaluated using some general indicators of cost-effectiveness. He proposed the internal rate of return

and produced a ranking by cost-effectiveness of all the measures considered.

Kellow [2] presented Kuwait’s approach and experience in the development, introduction and

implementation of energy-conservation standards in buildings. Although Kuwait is rich in energy

resources, a review of the growth in energy consumption revealed the need for energy conservation,

particularly in the building sector. The Ministry of Electricity and Water of Kuwait responded by

introducing guidelines and a set of regulations and mandatory standards for energy conservation in

3

buildings. Kellow presented the potential energy as well as economic savings of their implementation.

Borsch-Laaks and Pohlmann [3] examined the parameters for an environmentally concerned house

building practice. They developed a building system and philosophy for economic and ecological low-

energy houses. The primary energy requirement of their “Triple-E-house” was only 40% of a typical

German low-energy house, which only takes into account the reduction of the rate of space heating per

floor area.

Balaras et al. [4] investigated the potential for energy conservation in apartment buildings, in three

climatic zones of Greece. They followed the “EPIQR” methodology and used the respective software,

which includes several modules that perform energy related calculations in order to provide the user

with an initial assessment of energy consumption and savings obtained from various retrofit actions.

The proposed actions concentrated on space heating and cooling, domestic hot water production and

lighting.

Omer et al. [5] presented the monitoring of photovoltaic (PV) systems in two buildings at the

University of Nottingham. They concluded that PV systems were not cost effective. On the contrary, a

few years later Eiffert [6] showed the effectiveness of building-integrated PV (BIPV) systems, after

having identified their economic parameters. He claimed that for designing and sizing BIPV systems,

either Net Present Value or Life Cycle Cost are recommended, even if, in general, all investment

methods can be used to evaluate BIPV economics.

Papadopoulos et al. [7] examined the renovation of existing buildings for the reduction of energy

consumption and the improvement of environmental conditions in urban areas. They mentioned that,

due to low energy prices in the last 15 years and as energy saving measures demand capital-intensive

investments, small progress was noticed in the direction of applying energy saving measures. They

determined the potential of a few energy saving renovation measures (regarding central heating

systems and the buildings’ shell insulation) in a sample of buildings and evaluated the feasibility of

these measures.

An energy audit in a typical military campus was conducted by Stavropoulos and Skodras [8] in

order to evaluate energy saving possibilities in such facilities. For each measure the cost of investment

was provided together with the economic evaluation, while audit results and recommendations lead to

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a series of proposals for energy saving measures.

Motivated by the worldwide requirement for substantial further reduction in gas emissions, Ecofys

for EURIMA [9] examined the economics of suitable measures for the building sector. They found

that most measures that reduce energy consumption can be carried out in a cost-effective way,

particularly in warm and moderate climatic zones.

Georgopoulou et al. [10] analysed the economic attractiveness of potential emission reduction

measures in the Greek building sector, adopting the end-user’s point of view. They proposed a

methodological framework, which incorporates crucial parameters such as local climate, use and age

of buildings, etc. that affect the potential energy conservation and consequently the economic

performance of available measures. They evaluated the various emission reduction measures using

Cost-Effectiveness Analysis, which is a special type of Cost-Benefit Analysis.

Ouyang et al. [11] use an urban existing residential building in China and analyze the economic

benefits of certain energy-saving renovation measures through the simplified Life Cycle Cost method.

Their study is based on the energy-saving effects of those measures calculated by thermal simulation,

which they finally revised by applying the actual heating and cooling loads of the subject building.

Of course, if the study is not limited to the economic evaluation of energy saving measures, but is

broadened into any type of evaluation, then a lot more studies that have been conducted for the

evaluation of the energy saving potential in the building sector will be found. An indicative list of

recent studies consists of Blok [12], Lin and Wang [13], Kaklauskas et al. [14], Sjögren et al. [15],

Yilmaz [16], Doukas et al. [17] and Ginevičius et al. [18].

The objective and at the same time the contribution of this paper is to propose a variety of energy

saving measures in an existing building with specific construction and energy characteristics, the type

of which is frequent not only in the Greek countryside but also in city suburbs, and then to study their

economic viability conducting an in-depth economic analysis. The aim is to classify the various

interventions according to their significance and to identify those which, except for the energy profit,

could also offer economic benefits. It should be noted that all prices mentioned and used at the present

evaluation, are prices of 2005.

The characteristics of the reference building and the energy saving measures that were examined

5

are presented in Section 2. A brief presentation of the evaluation methods is given in Section 3. In

Section 4, the results of the numerical investigation are analysed and, finally, the main conclusions are

presented.

2. EXAMINED ENERGY SAVING MEASURES

This paper focuses on a detached house in Central Greece, in the town of Larissa, which can be

considered as a widely met type of building especially in Greek provincial regions (Figure 2). The

reference house has a liveable surface area of 100 m2 and a pilotis, i.e. a roofed surface, which is

typically used for car parking. As far as the heating equipment is concerned, the reference house is

heated with a 20-year-old oil burner - boiler, which consumes roughly 1 m3 of oil/yr, while an electric

water heater is used to cover the need for hot water. In addition, all lamps are incandescent, while

electric appliances and the air- conditioning system are of an old technology (more than 10 years old).

Since the building is relatively old, it has no insulation (the U value of the building’s envelope is about

2.3 W/m2 oC). It also has single glazing windows and doorframes (the respective U value is about 5.6

W/m2 oC).

Although the examined building can not be considered to be a typical Greek building -

Papadopoulos et al. [19] as well as Papadopoulos et al. [20] describe the typical residential building in

Greece - some of its characteristics coincide with the main characteristics of the latter: it is built above

a pilotis, it is a detached building and its surface is approximately 100 m2. Moreover, detached houses

in Greece constitute about 30% of the entire houses’ stock and the overwhelming majority of houses in

the Greek provinces [21]. Consequently, considering the applicability of the examined energy saving

measures one can easily see the great effectiveness of a potential large - scale application of those

measures.

The energy saving measures that have been studied could be easily applied to the reference house,

while the biggest possible energy savings could be obtained, in the most economic way. These

measures are divided into five categories. Specifically:

Energy savings with insulation. Here, it is attempted to limit the negative effects of the external

environment in the desirable internal microclimate of a building with as much as possible rational

6

use of thermal or electric energy sources.

Energy savings via upgrading of heating systems. The existing burner and/or the oil boiler are

replaced with new, more economical and environmental friendly burner and/or boiler of natural

gas (NG). Furthermore, the potential use of automatic temperature control systems ensures higher

fuel savings.

Energy savings with the use of thermal solar systems and more specifically solar heaters. This is

considered to be the most economic energy saving solution in Greece since, as a Mediterranean

country, it has the privilege of sunshine almost all year round.

Energy savings from upgrading of lighting and electric home appliances. In this case, the old-

technology incandescent lamps are replaced with low energy (fluorescence) lamps. In addition, the

old electric appliances are upgraded with new, energy efficient ones, according to the European

Council Directive 92/75/EEC [22].

Energy savings from upgrading the cooling system. Here, the old air-conditioning system is

replaced by a new one of recent technology, ranked in category A, which is more effective,

economical and environmental friendly.

At this point, it is worth making the following remarks regarding energy saving in buildings:

Nowadays, the price of electricity produced by PV cells is five times higher than the price of

electricity from the grid. However, progress in PV systems has started to limit this difference. If

environmental benefits are also considered, e.g. the reduction by 1 kWh saves 1.12 kg of CO2

emissions, then the specific investment will soon be worth considering.

It is remarkable that the behaviour of the residents of buildings differentiates positively or

negatively the thermal behaviour of buildings and, consequently, the evaluation of energy saving

measures. For instance, the potential demands of residents for excessively increased internal

temperature or a thoughtless ventilation of rooms can lead to an unreasonable increase of heating

expenses. On the other hand, reduction of the required room temperature or of the frequency of

ventilation, beyond acceptable thermal limits or limits of hygiene, even if it leads to energy

saving, degrades the quality of life in buildings. Normally, the conditions of thermal comfort and

7

hygiene should not become unfavourable. Perhaps someone should only proceed in such energy

reductions in periods of intensive energy crisis and after having exhausted all other energy saving

methods.

2.1. Energy savings with insulation

The types of insulation examined in this paper are for a) the external walls, b) the pilotis and c) the

roof. The replacement of the single glazing windows and doorframes with double glazing ones (that

have a U value of about 2.8 W/m2 oC) has also been examined. Table 1 presents the costs and the

benefits that result from the implementation of various insulation measures. For the insulation of

external walls it is necessary to cover all four sides of the reference house, namely a total area of 4x30

m2 = 120 m2. The replacement of windows and doorframes in a building such as the reference house

includes the front door, three large French windows and three windows.

Regarding the insulation - of the external walls as well as the pilotis and the roof - a novel

approach, whose application started in Greece after 2004, has also been considered. This insulation

policy which is nowadays very popular for the application of additional thermal insulation to existing

buildings’ envelopes, is based on extruded polystyrene and is described in detail by Theodosiou and

Papadopoulos [23].

An oil burner - boiler is used for heating the reference house and the energy savings are from the

oil consumed. Considering the calorific value of oil (4.29.1010 J/m3) and the annual quantity of fuel

consumed (1 m3/yr), 11,920 kWh/yr are required for heating the reference house. Taking into account

the energy savings that result from insulation (Table 1) and the average price of electricity

(approximately 0.1 €/kWh), the benefit of energy saving interventions is also presented in Table 1.

2.2. Energy savings via upgrading of heating systems

Upgrading heating systems is achieved by using more economic and simultaneously

environmental friendly fuels (for example NG), or by using an automatic temperature control system,

to regulate the temperature of rooms.

The costs and the benefit obtained from various measures of upgrading heating systems are given

8

in Table 2. If the heating systems are used exclusively for heating, it is best to replace the oil burner

only with a NG burner, and not to replace simultaneously the oil boiler with a NG boiler. The cost of

this type of upgrading includes the cost of a) the NG burner, b) the materials of internal installation

(e.g. pipes, hinges from the meter till the burner, etc.), c) the connection of the building with the NG

network, d) the guarantee and e) the monthly fixed charge. According to two Greek gas supply

companies (GSCs), namely “Gas Supply Company of Thessaly” [24] and “Attiki Gas Supply

Company” [25], if the oil burner is replaced with a NG one, in any building that is similar to the

reference house, energy savings of 94 €/yr are achieved.

However, if the heating systems are used both for heating and for hot water production, it is

advisable to replace both the oil burner and the boiler with NG ones. The respective cost includes all

costs mentioned before and in addition the cost of purchasing and installing the NG boiler. According

to the aforementioned GSCs, for a detached house such as the one examined in the present study,

which additionally uses electricity for its needs for hot water, the energy requirements are

approximately 2,000 kWh/yr, while the total of energy savings due to the use of NG equipment is

estimated to 213 €/yr.

In the most complex case, where NG is used not only for heating and hot water production, but

also for cooking, apart from the already mentioned replacement of the oil equipment, it is also

necessary to replace the electric cooker with a NG one. The additional cost in the case of this

particular upgrading is for the cost of purchasing a NG cooker. From the same GSCs, for a building

such as the reference house, the energy needs of its electric cooker are 2,000 kWh/yr, while the total

savings are 388 €/yr.

Note that in the last two choices of upgrading heating systems, the need to clean the NG burner -

boiler system from deposits every year has also been considered, mainly for safety reasons. This

maintenance costs approximately 50 €.

Finally, upgrading of heating systems can be achieved with an automatic temperature control

system. Here energy savings are about 30%, while the improvement of the burner’s efficiency is

approximately 20%. In the examined building, the aforementioned intervention leads to an annual

saving of 378 €/yr. Table 2 presents the cost of purchasing and installing an automatic temperature

9

control system.

2.3. Energy savings with the use of thermal solar systems

The use of thermal solar systems for the replacement of the electric water heater leads to saving

electricity while protecting the environment at the same time. The heater of the reference house has a

power of 4,000 W, a capacity of 0.08 m3 and consumes 2.6 kWh in order to heat the aforementioned

quantity of water to 50o C, with a cost of 0.26 € per use. An individual needs 25 to 50 litres of hot

water daily, consequently a family of four members needs to turn on the heater twice a day on average,

thus consuming 1,898 kWh/yr or equivalently meeting a cost of 190 €/yr.

The cost of solar heater equipment, together with the installation costs, is roughly 820 €. The solar

heater saves 80% of the cost of heating water, which represents approximately 152 €/yr.

2.4. Energy savings from lighting and electric appliances

Two of the easiest and most effective ways of saving energy is a) the replacement of incandescent

lamps with fluorescent (low energy) lamps as well as b) the replacement of old technology electric

appliances with new ones that consume less electricity and are more environmentally friendly. In its

general effort for energy saving, the European Union established Council Directive 92/75/EEC with a

mandatory sign (Ecolabel) that all new models of electric appliances should carry. The Ecolabel ranks

an appliance in one of the eight categories, i.e. from A (the most efficient appliance) to G (a not at all

efficient appliance) and mentions its annual energy consumption. In Greece electricity is mainly

produced from lignite or oil. Thus, energy consumption releases CO2, which causes the greenhouse

effect. Consequently, from an energy point of view, the more effective an electric home appliance is,

the more eco-friendly it is.

In the economic analysis that follows the subsequent information was taken into consideration:

first the consumption and cost of electricity, both for the incandescent lamps and for the low energy

lamps (Table 3) and second the lifetime of both types of lamp, namely 1,000 and 10,000 hours

respectively. Ιt has been assumed that every lamp is used on average for three hrs/day, i.e. for 1,095

hrs/yr. Consequently, every nine years a new fluorescent lamp should be purchased. Thus, the

10

replacement of incandescent lamps with low energy ones, apart from electricity savings, gives also a

benefit due to the longer life of the latter. For example, the annual benefit from the replacement of an

incandescent lamp of 120 W with the equivalent low energy lamp of 23 W, is around 12 €/yr.

Considering the number of lamps that exist in any residence, one can easily see the significance of this

energy saving measure. Regarding the acquisition cost of low energy bulbs, prices vary a lot

depending on the sales outlet and on the manufacturer. Therefore, an elementary sensitivity analysis of

the economic evaluation of the specific energy saving measure was conducted by examining two

(utmost) prices - acquisition costs (Table 3) for the lamps of every examined power category.

The replacement of old electric appliances with appliances of new technology and lower electric

consumption, constitutes another efficient method for energy saving. One of the most “energy

consuming” home appliances is the refrigerator. The replacement of an old technology refrigerator,

with a mixed capacity of 365 litres (freezer and refrigerator) and a consumption of 1,432 kWh/yr, with

a refrigerator of new technology, of the same type and capacity, ranked in category A and consuming

522 kWh/yr has been examined. The benefit of this replacement is about 91 €/yr, while the cost of

purchasing a low consumption refrigerator is about 600 €.

2.5. Energy savings from upgrading the cooling system

Nowadays the most efficient modern cooling systems in the market can be up to 70% more

efficient than any conventional, old air-conditioning system already installed in buildings. Note that

the efficiency of an air conditioner depends on the dimensions of the room where it is installed, the

potential shading of the latter, the size of windows and the local climate. Moreover, the proper

positioning of an air conditioner is crucial for the efficient cooling of a room. Finally, a large cooling

system is not necessarily more efficient than a smaller one that works longer during the day.

The aforementioned factors should be examined thoroughly in order to choose an air conditioner.

It should also be considered that any cooling system needs about 2.64.105 J/hr.m2 (or equivalently 250

Btu/hr.m2).

Therefore, the replacement of the old technology air-conditioning system of the reference house

with a new technology one, ranked in category A, has been thoroughly examined. Specifically, two

11

scenarios have been studied depending on the type of air conditioners that could be used in this

replacement. According to Scenario 1, two air conditioners of 9,000 Btu and one air conditioner of

12,000 Btu are used, while according to Scenario 2 only two air conditioners of 9,000 Btu are

considered.

Considering the prices of the local market, an air conditioner of 9,000 Btu (or equivalently

9.50.106 J) ranked in category A and accompanied by an inverter costs about 700 €, while the

respective system of 12,000 Btu (or equivalently 1.27.107 J) costs about 800 €. In addition, the

consumption of electricity per hour for new technology air conditioners of 9,000 and 12,000 Btu, is

about 1 and 1.2 kW respectively, while the energy consumption of the old technology air conditioners

is about 1.7 and 2 kW respectively. Finally, considering that the air-conditioning system is used from

mid-June until mid-September, for 12 hrs/day, i.e. for 1,104 hrs/yr, it comes out that the annual profit

of Scenario 1 is about 247 €/yr, while the respective profit of Scenario 2 is about 155 €/yr.

3. EVALUATION METHODS

The methods used for the economic evaluation of energy saving measures are the Net Present

Value (NPV), the Internal Rate of Return (IRR), the Savings to Investment Ratio (SIR) and the

Depreciated Payback Period (DPP). These methods are presented in detail in many books such as the

one of Au and Au [26].

3.1. Net Present Value

The NPV sums the discounted cash flows; it integrates and converts at the same time amounts of

money (e.g. incomes, expenses, etc.) of various time periods. The formula that is used for the

determination of the NPV is:

n

tt

t

)p(FCNPV

10 1

(1)

where

t: time period, usually a year

Ft: net cash flow for year t, i.e. Ft = Bt - Ct

12

Bt: benefit (inflows) for year t

Ct: cost (outflows) for year t; the value C0 reflects the initial investment

p: cost of capital

n: number of years of the investment’s lifetime or, differently, the number of years for which the

economic evaluation is requested.

It is assumed that the various net cash flows of (1) are collected at the end of the time periods, i.e.

at the end of years.

An investment should be realised only if NPV > 0, while in case alternative investments are

compared, the best of them would be the one with the higher NPV. Finally, it is worth mentioning that

there is an inverse relation between the cost of capital p and NPV: the increase of p results in a

decrease of NPV, when all other parameters remain constant.

3.2. Internal Rate of Return

The IRR evaluation method aims at the determination of the discount rate p* that renders the

present value of future discounted net cash flows of an investment equal to the initial cash outflow

(initial investment), for the total years of evaluation. The discount rate p* is determined from the

following equation:

011

0

n

tt*

t

)p(FCNPV (2)

The IRR is the discount rate p* that renders the examined investment marginal and constitutes the

higher interest that can be paid by an investor for finding the capital that is required for an investment.

When the examined investments are economically independent, then, by evaluating them with this

method, one can find attractive all investments that present an IRR greater than the minimum

acceptable interest rate. Besides, the most attractive investment is the one that presents the higher IRR.

3.3. Savings to Investment Ratio

The SIR of an investment is calculated by dividing the present value of the future inflows for the

years of the evaluation, by the present value of the future outflows for the same period:

13

n

tt

t

n

tt

t

)p(C

)p(B

SIR

0

1

1

1 (3)

If the present value of inflows is equal to the present value of outflows, i.e. NPV = 0, then SIR = 1,

while if it is greater (smaller) than the present value of outflows, i.e. NPV > 0 (NPV < 0), then SIR > 1

(SIR < 1). When the examined investments are economically independent, then each of them

presenting an SIR > 1 is considered to be attractive. Moreover, when the investments are reciprocally

excluded, then the most attractive of them is the one with the higher SIR.

3.4. Depreciated Payback Period

The DPP constitutes a variant of the determination of the payback period of the initial investment

C0. This method determines the number of time periods (usually years) that are required until an

investor recovers the initial outflow C0 of an investment. This happens through net cash flows Ft that

are expected as a result of this investment. However, this method is unable to measure directly the

“value” of an investment; it simply aims at measuring the time that is required for the recovery of the

initial outflow of a particular investment. According to DPP, the present value of the expected net

cash flows Ft is calculated based on the cost of capital p, and then set equal to the initial investment

C0. The depreciated payback period is given by:

plnFCp

lnDPP t

1

1 0

, (4)

where it is assumed that the net cash flows Ft remain constant for every t.

4. NUMERICAL INVESTIGATION AND RESULTS

4.1. Economic evaluation with deterministic parameters

In Figure 3, the fluctuation of the NPV (continuous lines) and the SIR (discontinuous lines) for

various insulation measures are presented, considering a cost of capital of 4%. As shown, by replacing

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the windows and doorframes of the reference house, the necessary capital for their purchase and

installation is much greater than the benefit obtained from the total energy saved. As a result, the

specific investment is never depreciated. Furthermore, it can be seen from Figure 3 that mainly the

heat insulation of the roof and the pilotis of the reference house constitute choices that ensure return in

a relatively small time period, in comparison with their lifetime; the calculation of each intervention’s

DPP - using (4) - gives 6.16 and 7.84 years, respectively. Summarising, it is obvious that the

insulation of the roof of any building should constitute the preferable method of heat insulation, in

contrast with the replacement of windows and doorframes, which funnily enough constitutes the most

popular energy saving intervention in Greece.

In this study, all energy saving measures are evaluated by calculating the four evaluation methods

for a value of p from 4% up to 8%. The results of the evaluation according to the DPP are presented in

Table 4 and, amongst other things, reveal the sensitivity of the DPP in potential differentiations of p.

In the last column of this table, the lifetime of each alternative energy saving intervention is

mentioned, to facilitate one’s drawing of conclusions. In addition, Figure 4 presents the fluctuation of

the NPV of the external walls insulation of the reference house according to the values of p. It is

evident that the effect of p values is very important i.e. the smaller the cost of capital, the faster the

depreciation of an investment. From approximately 23 years when p = 8%, the depreciated period of

the investment is decreased to 14 years, when p = 4%.

Evaluating the various choices for upgrading heating systems (Figure 5), it is noticed that the

installation of an automatic temperature control system at the burner - boiler system constitutes the

economically most attractive option. On the contrary, the replacement of the oil burner or/and the oil

boiler with NG ones, becomes economically optimal under certain conditions. Thus, if the heating

systems are used exclusively for heating then there is no profit, while if they are used for heating, hot

water production and cooking, profit becomes important. In addition, NG involves serious

environmental advantages, e.g. reduction of CO2 emissions and reduction of oil dependence, which,

however, have not been taken into consideration in the present economic evaluation.

Furthermore, the use of solar heaters is a good solution (Figure 6). As already mentioned, the

particular energy saving method is favoured by the Greek climate. It is not accidental that Greece was

15

one of the first countries of the European Union that used solar heaters for hot water. From Figure 6

one can see that a solar heater starts being depreciated after a period of nearly six years, when p = 4%.

By examining the fourth category of energy saving measures, it becomes obvious, from Figure 6,

that an electric home appliance (i.e. a refrigerator in this study) of category A, even if it is more

expensive than an appliance of inferior category, becomes profitable very soon (the initial investment

is depreciated in less than eight years, when p = 4%), because its electric consumption is much

smaller.

Regarding the upgrading of artificial lighting, it should be pointed out that it constitutes one of the

most economic and effective investments. Taking into consideration the NPV of all four kinds of bulbs

(concerning their power), the replacement of incandescent lamps with low energy ones involves profit

9 to 15 times the initial investment according to Scenario 1 (Figure 7a), while according to Scenario 2

(Figure 7b) it involves profit 4 to 10 times the initial investment. Moreover, in most cases the

depreciation of the initial investment starts from as early as the first year of the investment.

In Figure 8, the fluctuations of the NPV and of the SIR for both scenarios of upgrading the cooling

system of the reference house are presented, considering again a cost of capital of 4%. Here it is

noticed that both investments are depreciated at approximately the same time, namely during the

twelfth year of the investment. However, the higher value of the annual net cash flow of Scenario 1

makes the latter much more profitable at the end of the investment, i.e. after 15 years.

Conclusions on various energy saving measures applied to buildings can be drawn from Table 5.

All measures are evaluated according to the IRR that is presented in the last column of this table. Note

that the various measures are ranked from the best to the worst. The second column of Table 5

displays the initial investment of each measure, while the third one presents the sum of all initial

investments mentioned earlier in the table. The data of this column can be used to choose the best

measures. For example, if someone has 5,000 € available, it is preferable to choose and realise at his

own house the first six energy saving measures.

Helcké [27] analysed a partially different variety of energy saving measures and compared the

results in order to find the most cost-effective ones. Assuming an annual interest of 8% and an annual

fuel price inflation rate of 12% (this type of rate has not been taken into consideration in the present

16

study) he concluded that the order of measures according to their cost-effectiveness is the following:

a) Insulation of roof, b) Insulation of external walls, c) Replacement of windows and doorframes and

d) Installation of solar heater. His rating is similar with the rating of the present study, except for the

differentiation in the installation of solar heater, which can be attributed to the significantly different

climate of the UK, which was the reference country for his study.

4.2. Economic evaluation with stochastic parameters

For a more advanced economic evaluation of the examined set of energy saving measures, a

sensitivity analysis on the NPV has been carried out by considering various parameters as stochastic

and not deterministic, as it was done in the first part of the numerical investigation. More specifically,

the following have been taken into account: a fluctuation of ±10% for all costs and benefits, assuming

that they all follow the uniform distribution in a width of ±10% on the values presented in Section 2;

an evaluation period of 30/10 years for all investments; a cost of capital of 4%. All stochastic

parameters have been simulated 1,000 times1 and the NPV has been calculated for all measures, 1,000

times. The results, namely the boxplots2, of all energy saving measures are presented in Figures 9 and

10, where the various measures are ranked according to their cost-effectiveness. The NPV values of all

energy saving measures are distributed according to the indicative histogram presented in Figure 11,

obviously with different mean (or generally central tendency) and standard deviation (or generally

dispersion), depending on the energy saving measure.

From both Figures 9 and 10, it can be noticed that the ranking of the examined energy saving

measures differs significantly from the ranking that arises considering IRR (Table 5). This difference

can be attributed to the combination of (some times large and some other times small) values of the

cash flows of every energy saving measure combined with the evaluation period that is used in both

cases: in order to compute the IRR of the measures their lifetime is used, while in order to compute the

NPV a specific interval of time is used, i.e. 30/10 years respectively. Concisely, it can be seen from

both Figures 9 and 10 that two types of insulation are between the most cost-effective energy saving 1 using “Crystal Ball”, which is a special add-in software of Microsoft Office Excel 2 which have been developed using MINITAB 15

17

measures, while the replacement of windows and doorframes is, once again, the worst energy saving

measure. Another interesting observation has to do with the significant decline of the replacement of

incandescent lamps, which can be attributed to the small absolute size of the annual net cash flow of

this investment and the large evaluation period, which offers advantage to other energy saving

measures that have large annual net cash flows.

Since the stochasticity of the parameters (costs and benefits) introduces a dispersion of the NPV

values, a differentiation of the ranking in practice should not be excluded: every NPV value depends

on the specific values of the stochastic parameters that are taken into consideration for its calculation.

Therefore, an overlap of NPV values is frequently noticed. For instance, considering the NPV of 30

years, some combinations of parameter values can lead to the superiority of the insulation of pilotis -

which fluctuates between 4099.27 € and 4936.32 € - while some other combinations of values can lead

to the dominance of the use of a temperature control system - which fluctuates between 4041.65 € and

4836.91 € (Figure 9, encircled area).

5. CONCLUSIONS

In this study, many energy saving measures that can be realised in a common Greek type of

building have been evaluated from an economic point of view. The four most popular evaluation

methods have been used, while results have been presented in tables and figures. Using the IRR as

evaluation criterion it has been shown that the upgrading of artificial lighting is the most effective

investment, while the insulation as well as the installation of an automatic temperature control system

at the burner - boiler system follow next. The use of solar heaters is economic enough and profitable,

contrary to the replacement of windows and doorframes and the partial upgrading of heating systems

that constitute very low return investments.

Using the NPV as evaluation criterion and a uniform evaluation period, it becomes evident that the

insulation of the roof or the pilotis of the building constitute the most effective interventions. The

replacement of windows and doorframes are once again very low return investments.

18

Acknowledgment

The authors would like to thank Lecturer Theodore Theodosiou and Mrs Elsa Plakida for their

valuable contribution to this study.

19

References

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[2] Kellow, M., 1989, Kuwait's Approach to Mandatory Energy-Conservation Standards for

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Eco-Energy House, ETSU S/P2/00325/REP1, 2000.

[6] Eiffert, P., Guidelines for the Economic Evaluation of Building-Integrated Photovoltaic Power

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Renovation Measures in Urban Buildings. The Impact of Energy Prices and the Acceptable Pay

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OPET Special Issue No. 1 of “Energy Engineering”, 2003.

[9] Ecofys for EURIMA, 2005, Cost-Effective Climate Protection in the EU Building Stock.

[10] Georgopoulou, E., Sarafidis, Y., Mirasgedis, S., Balaras, C.A., Gaglia, A., and Lalas, D.P.,

Evaluating the need for economic support policies in promoting greenhouse gas emission

reduction measures in the building sector: The case of Greece, Energy Policy, 2006;34(15):2012-

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[11] Ouyang, J., Ge, J., and Hokao, K., Economic analysis of energy-saving renovation measures for

urban existing residential buildings in China based on thermal simulation and site investigation,

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Energy Policy, 2009;37(1):140-149.

[12] Blok, K., Improving energy efficiency by 5% and more per year, Journal of Industrial Ecology,

2004;8(4):87-99.

[13] Lin, W.-B., and Wang, L., Evaluation of energy-saving benefits for green buildings using natural

daylight strategy, Series on Energy and Power Systems, PES 2005, no. 492-062:246-250.

[14] Kaklauskas, A., Zavadskas, E.K., Raslanas, S., Ginevicius, R., Komka, A., and Malinauskas, P.,

Selection of low-e windows in retrofit of public buildings by applying multiple criteria method

COPRAS: A Lithuanian case, Energy and Buildings, 2006:38(5);454-462.

[15] Sjögren, J.-U., Andersson, S., and Olofsson, T., An approach to evaluate the energy performance

of buildings based on incomplete monthly data, Energy and Buildings, 2007;39(8):945-953.

[16] Yilmaz, Z., Evaluation of energy efficient design strategies for different climatic zones:

comparison of thermal performance of buildings in temperate-humid and hot-dry climate,

Energy and Buildings, 2007; 39(3):306-316.

[17] Doukas, H., Nychtis, C., and Psarras, J., Assessing energy-saving measures in buildings through

an intelligent decision support model, Building and Environment, 2009;44(2):290-298.

[18] Ginevičius, R., Podvezko, V., and Raslanas, S., Evaluating the alternative solutions of wall

insulation by multicriteria methods, Journal of Civil Engineering and Management,

2008;14(4):217-226.

[19] Papadopoulos, A.M., Oxizidis, S., and Papandritsas, G., Energy, economic and environmental

performance of heating systems in Greek buildings, Energy and Buildings, 2008;40(3):224-230.

[20] Papadopoulos, A.M., Oxizidis, S., and Papathanasiou, L., Developing a new library of materials

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of buildings with double brick wall constructions, Energy and Building, 2008;40(11):2083-2089.

[24] Gas Supply Company of Thessaly S.A., 2007 - www.epathessalia.gr

[25] Attiki Gas Supply Company S.A., 2007 - www.aerioattikis.gr

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Newton, MA, 1983.

[27] Helcké, G., The Energy Saving Guide, Pergamon, Oxford, England, 1981.

22

Table 1: Costs and benefits for various energy saving insulation measures

Cost

Type of insulation M

ater

ials

(€)

Seco

ndar

y m

ater

ials

(€)

Labo

ur (€

)

Tota

l ini

tial

inve

stm

ent (

€)

Ener

gy sa

ving

s (%

)

Ben

efits

from

in

vest

men

t (€/

yr)

Insulation of external walls 620 70 2,160 2,850 23.0 274 Insulation of pilotis 770 50 1,980 2,800 35.5 423 Insulation of roof 715 50 1,440 2,205 34.5 411

Replacement of windows and doorframes 2,8551 - 45 2,900 7.0 84

1 One front door costs 1,070 €, three large French windows cost 1,070 € totally and three windows cost 715 € totally.

23

Table 2: Costs and benefits from upgrading of heating systems

Cost

Type of upgrading of heating systems N

G b

urne

r – b

oile

r (€

)

Seco

ndar

y m

ater

ials

(€)

Con

nect

ion

(€)

Gua

rant

ee a

nd

fixed

cha

rge

for 1

2 m

onth

s (€)

Tota

l ini

tial

inve

stm

ent (

€)

Ben

efits

from

in

vest

men

t (€/

yr)

Use: heating => replacement of oil burner with a NG burner 810 475 525 135 1,945 94

Use: heating & hot water production => replacement of both oil burner -

boiler with NG ones 1,725 475 525 135 2,860 213

Use: heating, hot water production & cooking => replacement of a) both oil burner - boiler with NG ones and b) the electric cooker with a NG one

1,725 1,190 525 135 3,575 388

Installing an automatic temperature control system - 2,100 - - 2,100 378

24

Table 3: Acquisition cost of lamps, consumption and cost of electricity, for the two types of lamp,

and benefits from their replacement

Incandescent lamps Fluorescent lamps Po

wer

(W)

Acq

uisi

tion

cost

(€)

Con

sum

ptio

n (k

Wh)

Cos

t of e

lect

ricity

(€)

Pow

er (W

)

Acq

uisi

tion

cost

(€) –

Sc

enar

io 1

Acq

uisi

tion

cost

(€) –

Sc

enar

io 2

Con

sum

ptio

n (k

Wh)

Cos

t of e

lect

ricity

(€)

Ben

efits

from

in

vest

men

t (€/

yr)

60 0.68 0.06 0.006 11 4.50 8.35 0.011 0.0011 6 75 0.75 0.075 0.0075 15 4.50 8.20 0.015 0.0015 7

100 0.83 0.10 0.01 20 5.50 8.30 0.02 0.002 10 120 1.05 0.12 0.012 23 6.00 8.50 0.023 0.0023 12

25

Table 4: DPP for all energy saving measures for various values of p

DPP (yrs) Energy saving measure

p = 4% p = 5% p = 6% p = 7% p = 8 % Life

time

(yrs

)

Insulation of external walls 13.72 15.05 16.79 19.25 23.19 30

Insulation of pilotis 7.84 8.24 8.69 9.20 9.80 30

Insulation of roof 6.16 6.40 6.67 6.96 7.29 30 Replacement of windows and doorframes - - - - - 30

Replacement of oil burner with a NG burner => use: heating 44.83 - - - - 30

Replacement of both oil burner and boiler with NG ones => use: heating & hot water

production 19.64 22.81 28.11 41.56 - 30

Replacement of a) both oil burner - boiler with NG ones and b) the electric cooker

with a NG one => use: heating, hot water production & cooking

11.72 12.66 13.81 15.31 17.36 30

Installation of an automatic temperature control system 6.41 6.67 6.96 7.28 7.64 30

Installation of solar heater 6.20 6.44 6.71 7.01 7.34 10 Replacement of an incandescent lamp (60 W) with a low energy one (11 W)

2.03 2.06 2.10 2.13 2.16 10

Replacement of an incandescent lamp (75 W) with a low energy one (15 W)

1.89 1.92 1.94 1.97 2.00 10

Replacement of an incandescent lamp (100 W) with a low energy one (20 W)

1.36 1.38 1.39 1.41 1.43 10

Replacement of an incandescent lamp (120 W) with a low energy one (23 W)

1.31 1.32 1.34 1.35 1.37 10

Replacement of old technology electric appliances, with new ones of category Α

(refrigerator) 7.81 8.20 8.64 9.15 9.74 12

Replacement of old technology cooling system, with new one of category Α

(Scenario 1) 11.23 12.08 13.12 14.44 16.20 15

Replacement of old technology cooling system, with new one of category Α

(Scenario 2) 11.43 12.31 13.40 14.79 16.66 15

26

Table 5: Ranking of energy saving measures according to IRR

Energy saving measure Initial investment (€)

Sum of initial investments (€) IRR (%)

Replacement of an incandescent lamp (120 W) with a low energy one (23 W) 15.00 15.00 79.54

Replacement of an incandescent lamp (100 W) with a low energy one (20 W) 13.00 28.00 76.40

Replacement of an incandescent lamp (75 W) with a low energy one (15 W) 12.50 40.50 54.58

Replacement of an incandescent lamp (60 W) with a low energy one (11 W) 11.50 52.00 50.45

Insulation of roof 2,205 2,257 18.53 Installing an automatic temperature control

system 2,100 4,357 17.87

Insulation of pilotis 2,800 7,157 14.87 Installation of solar heater 820 7,977 13.15

Replacement of old technology electric appliances, with new ones of category Α

(refrigerator) 600 8,577 10.68

Replacement of a) both oil burner - boiler with NG ones and b) the electric cooker with a NG one => use: heating, hot water production &

cooking

3,575 12,152 10.28

Insulation of external walls 2,850 15,002 8.86 Replacement of old technology cooling system,

with new one of category Α (Scenario 1) 2,200 17,202 7.36

Replacement of old technology cooling system, with new one of category Α (Scenario 2) 1,400 18,602 7.13

Replacement of both oil burner - boiler with NG ones => use: heating & hot water

production 2,860 21,462 6.23

Replacement of oil burner with a NG burner => use: heating 1,945 23,407 2.59

Replacement of windows and doorframes 2,900 26,307 -0.88

27

Figure 1: Fluctuation of crude oil prices from November 2003 till February 2009

20

40

60

80

100

120

140

160N

ovem

ber 2

003

Mar

ch 2

004

July

200

4

Nov

embe

r 200

4

Mar

ch 2

005

July

200

5

Nov

embe

r 200

5

Mar

ch 2

006

July

200

6

Nov

embe

r 200

6

Mar

ch 2

007

July

200

7

Nov

embe

r 200

7

Mar

ch 2

008

July

200

8

Nov

embe

r 200

8

Months

Cru

de o

il pr

ice

($ p

er b

arel

l)

28

Figure 2: Recent photo of the reference house (after some renovations)

29

Figure 3: Fluctuation of the NPV and the SIR for the insulation interventions, for p = 4%

-3000

-2000

-1000

0

1000

2000

3000

4000

5000

1 3 5 7 9 11 13 15 17 19 21 23 25 27 29

Years

NPV

(€)

0

0,5

1

1,5

2

2,5

3

3,5

SIR

Insulation of external walls

Replacement of windows and doorframes

Insulation of roof

Insulation of pilotis

NPV SIR

DPP = 6.16

DPP = 7.84

30

Figure 4: Fluctuation of the NPV for the insulation of external walls according to the values of p

-3000

-2500

-2000

-1500

-1000

-500

0

500

1000

1500

2000

1 3 5 7 9 11 13 15 17 19 21 23 25 27 29

Years

NPV

(€)

p = 4%

p = 6%p = 7%

p = 8%

p = 5%

31

Figure 5: Fluctuation of the NPV and the SIR for upgrading of heating systems, for p = 4%

-4000

-3000

-2000

-1000

0

1000

2000

3000

4000

1 3 5 7 9 11 13 15 17 19 21 23 25 27 29

Years

NPV

(€)

0

0,5

1

1,5

2

2,5

3

3,5

SIR

Automatic temperature control system

Heating, hot water and cooking

Heating and hot water

Heating

NPV SIR

32

Figure 6: Fluctuation of the NPV and the SIR for the use of solar heater and the upgrading of an

electric home appliance (refrigerator), for p = 4%

-700

-600

-500

-400

-300

-200

-100

0

100

200

300

400

500

1 2 3 4 5 6 7 8 9 10 11 12

Years

NPV

(€)

0

0,2

0,4

0,6

0,8

1

1,2

1,4

1,6

SIR

Solar heater

Upgrade of an electric appliance (refrigerator)

NPV SIR

DPP = 6.20

DPP = 7.81

33

Figure 7a: Fluctuation of the NPV and the SIR for upgrading of artificial lighting, for p = 4% -

Scenario 1

0

10

20

30

40

50

60

70

80

90

1 2 3 4 5 6 7 8 9 10

Years

NPV

(€)

0

2

4

6

8

10

12

14

16

SIR

Low energy lamp-11W

Low energy lamp-15W

Low energy lamp-20W

Low energy lamp-23W

NPV SIR

34

Figure 7b: Fluctuation of the NPV and the SIR for upgrading of artificial lighting, for p = 4% -

Scenario 2

-10

0

10

20

30

40

50

60

70

80

90

1 2 3 4 5 6 7 8 9 10

Years

NPV

(€)

-1

1

3

5

7

9

11

SIR

Low energy lamp-11W

Low energy lamp-15W

Low energy lamp-20W

Low energy lamp-23W

NPV SIR

35

Figure 8: Fluctuation of the NPV and the SIR for the upgrading of the cooling system, for p = 4%

-2500

-2000

-1500

-1000

-500

0

500

1000

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

Years

NPV

(€)

0.1

0.3

0.5

0.7

0.9

1.1

1.3

SIR

NPV SIR

Upgrade of cooling system(Scenario 1)

Upgrade of cooling system(Scenario 2)

DPP = 11.23

DPP = 11.43

36

Figure 9: Ranking of energy saving measures according to the NPV for 30 years, for p = 4%

Insulatio

n of ro

of

Insulat

ion of pilo

tis

Temperat

ure contro

l syste

m

Heating sy

stems-S

cenario

3

Cooling sy

stem-Sce

nario 1

Insulat

ion of exte

rnal wall

s

Solar heate

r

Cooling s yste

m-Scena

rio 2

Upgrade of re

frigerator

Hea ting sy

stems-S

cenari

o 2

Lamp 23W

-Scenario

1

Lamp 20

W-Sce

nario 1

Lamp 15W

-Scen

ario 1

Lamp 11W

-Scenari

o 1

Heating sy

s tems-Sce

nario

1

Replace

ment of w

indows/doors

6000

5000

4000

3000

2000

1000

0

-1000

-2000

NPV (€)

37

Figure 10: Ranking of energy saving measures according to the NPV for 10 years, for p = 4%

Insulatio

n of ro

of

Tempera

ture contro

l s ystem

Insulat

ion of pilo

tis

Sola r heate

r

Upgrade o

f refrig

erator

Lamp 23

W-Sc

enari

o 1

Lamp 20

W-Sce

nario 1

Lamp 15 W

-Scena

rio 1

Lamp 11

W-Scen

ario 1

Cooling sy

stem-Sce

nario 2

Cooling sy

s tem-Sce

nario 1

Heating s ys

tems-S

cenari

o 3

Insulat

ion of exte

rnal wall

s

Heating sy

stems-S

cenari

o 2

Heating sy

s tems-Sce

nario

1

Replace

ment of w

indows/doors

2000

1000

0

-1000

-2000

-3000

NPV (€)

38

Figure 10: Histogram of the NPV (€) for 30 years for the insulation of the roof, for p = 4

Trials 1,000 Mean 4,903 €

Median 4,898 € Standard Deviation 155 €

Variance 24,091 €2 Skewness 0.0203 Kurtosis 2.31

Coefficient of Variability 0.0317 Minimum 4,502 € Maximum 5,307 €

Mean Std. Error 5

NPV €