the integration of social concerns into electricity power planning - fretz josue
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The Integration of Social Concerns into
Electricity Power Planning:A combined Delphi and AHP Approach
By : Fretz Josue
23210104
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Abstract
The increasing acceptance of the principle of sustainable development has been a majordriving force towards new approaches to
energy planning
Energy planning is a complex process involving
multiple and conflicting objectives such asenvironment, social and economic issues, thisis not an easy task
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Abstract
This study explores the issue of the social
impact, as a fundamental aspect of the
electricity planning process, aiming to give
measurable interpretation of the expected
social impact of future electricity scenario
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Abstract
A structured methodology, based on a
combination of the Analytic Hierarchy Process
and Delphi process
The metodology is applied for the social
evaluation of future electricity scenarios in
Portugal
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Introduction
Sustainable long-range electricity planning
involves tradeoffs between multiple goals, such
as multiple attributes of each competing and
acceptable electricity generation technology
Integrated resource planning should seek to
identify the mix of resources that can best meetthe future electricity needs of consumers, the
economy, the environment and the society
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Introduction
Environmental impacts of electricity generationactivities becomes increasingly critical
Cost minimisation is also perceived asfundamental to ensure the competitiveness of the economy.
Long-term electricity planning frequently relieson complex optimisation models drawn tominimise cost, restricted by technical andenvironmental conditions
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Introduction
The complexcity of the problem increased furtherdue to the desirable inclusion of a number of unquantifiable or subjectively valued objectives,
thus making energy planning decisions prone tosome degree of controversy.
For example, renewable energy project, and inparticular wind power plants, frequently have to
face local opposition, and the spread of theserenewable technologies may be slowed down bylow social acceptability
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Introduction
The electricity planning process needs to rely ona formal approach for the assessment of theoverall social outcome of each particular
generation mix.This work addresses this matter and deal with thecomplexcity of the social issues surroundingelectricity planning, providing guidance on how
to integrate the social dimension into thedevelopment of sustainable electricity plans forthe future
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Energy and Sustainable Development
Energy use and availability are central issues in
sustainable development. Energy is essential
for economic development and for improving
societys living standards.
Until recently, sustainable development was
perceived as an essential environmental issue,
concerning the integration of environmental
concerns into economic decision-making.
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For example, for the particular case of the role
of renewable energy sources (RES) to
sustainable development, support the view
that much emphasis is being put on the
environmental benefits, while socioeconomic
impacts have not receive a comparable
attention
Energy and Sustainable Development
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G8 Renewable Energy Task Force (2001) recognises:
Economies can only grow if they are notthreatened by environmental catastrophe orsocial unrest. Environmental quality can only beprotected if basic economic needs are fulfilledand individuals take responsibility for publicgoods. Finally, social development rest oneconomic growth as well as a healthyenvironment
Energy and Sustainable Development
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The economic, social and environmentalperspectives are all included in the keyelements of a sustainable energy system listed
by Jefferson (2006):Sufficient growth of energy supplies to meethuman needs, energy efficiency andconservation measures, addressing publichealth and safety issues and protection of thebiosphere.
Energy and Sustainable Development
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The sustainable development and sustainable
energy planning are based on three
dimensions: economic, environmental and
social.
Energy and Sustainable Development
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Achieving the goal of sustainable development
implies recognising and including the social and
environmental impacts of the energy sector in
the decision making process.
Under conditions of sustainable energy planning,
the profitability of energy companies and thefinancial viability of energy project become highly
dependent on non-financial factors.
Energy and Sustainable Development
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Energy and Sustainable Development
The simultaneuos assesment of economic, strategic,social, environmental and technical aspects isfundamental for making professionally correctinvestment in any sector.
However, it is particularly important for the energysector, traditionally associated with large-scale projectswith strong and conflicting social impacts: on the onehand, these project are absolutely indispensable forthe social welfare of the population, but on the otherhand, they are frequently associated withenvironmental problems and have to deal with socialopposition
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The evaluation of technologies and future
scenarios needs to expand beyond financial
cost alone and the appraisal process must be
based on a framework recognising full social
cost
Energy and Sustainable Development
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Electricity power planning is, using the
definition of Hobbs (1995) :
the selection of power generation and energyefficency resources to meet customer
demands of electricity over a multi-decade
time horizon
Sustainable Energy Planning
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There are three reason for the increased
complexity of the energy planning process:
�
The increasing number options� The great uncertainnty in load growth,
fuel market, technological development
and government regulation
� The inclusion of new objectives other than
cost
Sustainable Energy Planning
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The increassing use of RES in electricity systemsadds additional considerations to the traditionalplanning models, in particular the need to take
into account:1. Their frequent priority access to the grid
system
2. The impact that technologies of variable
output such as wind energy can have on theoverall operation of the electricity system
3. Public attitude towards these technologies
Sustainable Energy Planning
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The central electricity planning process basedon a single decision maker is no longeracceptable, and the importance of examining
tradeoffs amongt objectives is now wellrecognised.
Considering the three dimensions of sustainable development has graduallyincreased the importance of the social aspectin the decision process
Sustainable Energy Planning
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Importance of the Social Dimension
The thinking about social sustainability is not yetas advanced as for the other two pillars (worldbank 2003).
However, the Brundtland Report (WorldCommision on Environment and Development1987) made clear the need to expand thesustainable development concept beyondecological concerns and fully recognise and
integrate the social dimensions of sustainability,reflecting the need to ensure equitable socialprogress and overall social welfare
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The question of public acceptance is now
generally viewed as a fundamental aspect to
be included in the social dimension of
sustainable energy planning process,
frequently addressed by participatory
methods.
Importance of the Social Dimension
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The consultation of relevant experts andcompetent authorities is an essential element inthe decision process, and multi criteria
applications frequently involve a large andinterdisciplinary group of stakeholders
The assessment of a project sustainability should
focus not only on the impact of the proposal, butalso on how this impact is perceived by the localpopulation.
Importance of the Social Dimension
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The acceptance or rejection of a renewable
energy project by the local population can
make its implementation and its contribution
to local sustainability either a succes or a
failure
Importance of the Social Dimension
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The creation of clear energy strategiesmerging cost effectiveness with environmentaland social issues is the main challenge for
energy planners. Cost oriented approaches,where the monetary assessment is the onlybasis for the decision making, are no longer anoption, and information on the ecological and
social impacts of possible energy plans needto be combined with traditional economicmonetary indicators.
Importance of the Social Dimension
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Sustainable energy planning should now be
seen as a multidisciplinary process, where the
economic, environmental and social impacts
must be taken into consideration, at local and
global level, and where the participatory
approaches can bring considerable benefits.
Importance of the Social Dimension
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The social dimension of sustainable
development is much more elusive and
recognizably difficult to analyse quantitatively.
The social analysis cannot be addressed with
the same analytic toolbox as the environment
and economic.
Importance of the Social Dimension
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Methodology
The core elements of the proposed methodologyare Delphi and the AHP analysis.
By subdividing the problem into its constituent parts
(Analytic Hierarchy), the problem is simplified andallows information on each separate issue to beexamined.
The relative strength or priority of each objective
can be established (Delphi process) and the resultssynthesised to drive a single overall priority for allactivities.
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The user chooses weights by comparing
attributes two at a time, assesing the ratios for
their importance. These ratios are used not
only to compute the weights of individual
attributes, but also to measure the
consistency of the users assesment.
Methodology
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In this case we deal with the complecxity of
the social issues surrounding electricity
planning. A methodology is proposed
establishing a possible way of allocating
weights to the major social impacts and
resulting in a final scoring of the electricity
generation options
Methodology
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The process involved the following steps:
1. The identification of difficult to quantifyattributes and options to analyse. This step
corresponds to the definition of the socialcriteria to select the best electricity generationoptions.
2. The establishment of hierarchical structure. The
top of the hierarcy is the main goalcorresponding to the social index and the lowerlevels describe the criteria.
Methodology
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3. Selection of a group of experts and establishment of
the pairwise comparison of the elements of the
hierarchical structure.
4. Testing the consistency of data collected from theexperts.
5. Aggregation of the scores collected from the expert.
6. Combine the relative weights of the elements of each level of the hierarchical structure
Methodology
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The analytical hierarchy process wasdeveloped by Saaty (1980) and is based on theformulation of the decision problem in a
hierarchical structure.Typically, the overall objectives or goal of thedecision-making process is represented at thetop level, criterion or attribute elementsaffecting the decision at the intermediate leveland the decision options at the lower level.
Suitability of the AHP Approach
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AHP Process
The Process involves the following main steps:1. Subdividing the problem into a hierarcy, with the
main objective placed in the top, the criteria andsub-criteria placed in the intermediaate levels
and the alternatives placed on the bottom levelFigure represent an exampleof a simple hierarcy tree,where X.1, and X.2 are two
criteria, X1.1, X1.2 and X1.3are sub-criteria associatedwith X1 and A1, and A2 arethe alternatives
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2. Pairwise comparison of the elements in each
level with respect to their importance to
each of the higher-level elements to which
they re linked. For example elements, X1.1,
X1.2 and X1.3 are pairwise compared
concerning their importance with regards to
X1 criterion and the proces will be repeatedat each level until reaching the top of
hierarchy.
AHP Process
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3. Estimation of the global contribution of each
alternative to the main objective, by the
aggregation of the comparison levels
identified in step (2)
AHP Process
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The values used for the pairwise comparison
are usually based on saaty scale of preferences
score Pairwise evaluation
9 A absolutely more important than B
7A is very strongly more important than B
5 A is strongly more important than B
3 A is moderately more important than B
1 A is equally important to B
1/9, 1/7, 1/5,1/3, 1 Reciprocal values
AHP Process
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For this paricular research, the aim was to address the
negative social impact of each generating technology. For
the comparison a scale based on Saaty (1980) proposal
was used, detailed in following Table
Range Category
Superior Absolutely superior
Very strongly superior
Strongly superior
Moderately superior
Equal Equal
Inferior Absolutely inferior
Very strongly inferior
Strongly inferior
Moderately inferior
AHP Process
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Coal Gas Wind
Coal 1 1 1/3
Gas 1 1 1/5
Wind 3 5 1
Table represent a pairwise comparison matrix, with the elements
representing the quantified judgment on a pair of solutions. The
matrix was drawn from the result obtained for the pairwise of the
three possible generation technologies againts noise impact,
provided by one of the experts. The matrix show the noise impactof coal solution is equal to the noise impact of gas solution. The
noise impact of the wind solution is strongly superior to the noise
impact of the gas solution and moderately superior to the coal
solution
AHP Process
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Computation of the weights AHP using theeigenvector analysis. After decision maker makingpairwise comparison between alternatives(A1,A2,....An) these may be represented as in thefollowing matrix :
A1 A2 ... An
A1 a11 a12 ... a1n
A = A2 a21 a22 ... a2n.. ... ... ... ...
An an1 an2 ... ann
AHP Process
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The values assigned to aij are usually in accordancewith Saaty scale. A is then a consistent matrix of judgment and Saatys method computes K (vector of weights) as the principal right eigenvector of thematrix A:
a11 a12 ... a1n W1 W1
a21 a22 ... a2n W2 = W2 or AK = K
... ... ... ... ... ...
an1 an2 ... ann Wn Wn
(A-max Z)K = 0
Where max is the largest possible value of an eigenvalue () of matrix A and Z is the identity matrix and K is the eigenvector
AHP Process
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If the pairwise matrix is perfectly consisten then will be equal to the number of alternatives underconsideration (n). The consistency index (CI) andthe random consistency index/consistency ratio
(CR) may be computed by:
CI = max- n CR = CI / RI
n - 1
AHP Process
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The consistency ration is measure of how a
given matrix compares to a purely random
matrix in terms of their consistency indices.
The value of the random index (RI) may be
obtained from published tables for each of the
matrix, n. In practice if CR 0.10, the
consistency of this matrix is acceptable.
AHP Process
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For the computation of the weights and the
consistency ranking, the software package
Super Decision was used. This software was
available in the internet
(http://www.superdecisions.com)
AHP Process
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For the particular example of matrix A, Saatys
method may be applied to derive the vector of
weights along with the consistency ratio:
1 1 1/3 Wcoal Wcoal
1 1 1/5 Wgas = Wgas
3 5 1 Wwind Wwind
Vector of weights of the alternatives with respect to the noise impact
Noise Impact
Gas 0.156
Coal 0.185
Wind 0.659
CR 0.0280
AHP Process
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As result gas is the most desirable solution,
followed by coal generation plants with wind
generation being the least desirable.
AHP Process
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Suitability of the Delphi Approach
The main objective of the Delphi technique is to
describe a variety of alternatives and to provide a
constructive forum in which consensus may
occur (Rayens and Hahn, 2000).
The three basic conditions of the process are:
1. anonymity of the respondents
2. statistical treatment of the responses3. controlled feedback in subsequent rounds.
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Delphi Process
Choice of thesubject
Choice of the
topic
Selection of
the expert
Writing of the
questionnaire
First round
Statistical analysisof the result
Re-writing of the
questionnaire
New round
Statistical analysis
of the result
Consensus or
stability
No Consensus or
stability
Consensus orstability
Conclusion
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The first phase is characterised by the
description of the subject to study and the
objectives of the research. Based on this , the
expert are chosen.
The selection of the expert is crucial phase
because the quality of the result depends
heavily on the knowledge and commitment of the participant.
Delphi Process
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The reseach team explaining the experts aboutthe basis of the Delphi technique, the objective of the research and their role in the process.
The responses of this first round are collectedand the research team process to the statisticalanalysis.
The new questionnaire presents the results of thefirst round; it frequently includes comments
received during the first round, new questionmay be added and some other questions may beeliminated
Delphi Process
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The approach to measuring consensus variesfrom study to study. Rayens and Hahn (2000)present some examples of measure used in
past studies such as:The frequency distributions. The criterion of atleast 51% reesponding to a certain categorymay be used to determine consensus, or least
67% in a yes-no study, as presented in thefollowing example for two possible questions.
Delphi Process
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Question A
Response % of responses Response % of responses
Strongly agree 20% Agree 80%Agree 58% Disagree 20%
Neither agree or
Disagree 4%
Disagree 15%
Strongly disagree 3%
Consensus Achieved Consensus Achieved
Delphi Process
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Hierarchical structure formulation
� Options or alternatives
The process started with the identification of the
options to be analysed. There three electricity
generation options were included: coal, gas andwind.
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� Criteria
The next step was the identification of the criteria
to be included in the evaluation process.
Negative impact of wind power: the impact on
wild life, the noise pollution, negative
visulaimpact on the landscape.
Negative impact of coal and gas power dealmainly with the cost and environmental
emissiona
Hierarchical structure formulation
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� Criteria ( Semi-structured interview with experts)
Following literatur analysis, semi-structured
interview were conducted with experts from the
academic field, energy consultant, member of
environmental associations and reseachers.
Hierarchical structure formulation
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�Criteria ( Semi-structured interview with experts)The interview addreesd the following issues:
The general public reaction towards wind power, coaland natural gas power lants and the opinion of localpopulations.
The major complains expressed by the population inwhat concerns wind, coal, and natural gas power plant.
The major benefits that new power plants may bring tolocal populations
The most important aspect to be taken into accountfor the electricity planning in Portugal
What the expert felt would be the desirable andexpected future scenarios for electricity power sectorin Portugal
Hierarchical structure formulation
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� Criteria ( Selection of the criteria)
Base on the literature and on the interview, the
following non quantitative criteria were chosen
for the social evaluation process: Noise impact
Impact on birds and wildlife
Visual Impact The social acceptance
Hierarchical structure formulation
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Combining the options and the criteria , thehierarchical structure of the problem may be
represented :
Hierarchical structure formulation
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Delphi Implementation
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� First questionaireThe questionnaire asks the experts to assume the need to increase theavailable power by about 1000MW. This may be done by increasing thenumber of coal, natural gas or wind power plants, described as follows:
Coal solution
Description 2 new coal power plants, one with installed capacity equal
to7
00M
W and another one with installed capacity equal to450MW.
Placement Close to large electricity consumption centres.
Characteristics In each power station there will be one chimney 225 mhigh and one cooling tower. Each power plant may occupyan area of about 1.5 ha (0.015 km2) and burns imported
coal.Examples Presently two power stations operate in Portugal: one in
Sines and another one in Pego.
Delphi Implementation
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Gas solution
Description 2 new combined cycle natural gas power plants, one with
installed capacity equal to 660MW and another one with
installed capacity equal to 400MW.
Placement Close to large electricity consumption centres.
Characteristics The 660MW power station will have two chimneys. The 400MW power station will have 1 chimney. All the chimneys will
be 80 m high. Each power station will have a cooling
tower. Each power station may occupy an area of
about 1.5 ha (0.015 km2). It burns imported natural gas.
Examples Presently two CCGT operate in Portugal: one in Ribatejo(Carregado) and another one inTapada do Outerio
(Gondomar).
Delphi Implementation
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Wind solution
Description 250 new wind farms, with total installed capacity equal to
3800MW.
Placement Spread across the country, but with higher concentration in
the inland North hills.Characteristics Each wind farm will have between 10 and 15 turbine, about
65 m high and may occupy an area of about 100 ha (1 km2).
Examples Presently there are about 1000 turbines operating in the
mainland, some examples may be seen inMarão, Açor,
Barroso among many others.
Delphi Implementation
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A brief definition of these social criteria was also included in the questionnaire, as follows:
DefinitionVisual impact This criterion is difficult to quantify and depends heavily on individual
perception. It is associated with the aesthetic aspect, and it will be necessaryto assess if the
project will bring significant changes to the landscape and if these changes will
reduce the visual quality of the region.
Noise level This criterion is usually associated with sleeping disorders, interference with
learning activities and general annoyance, caused by undesirable noise. It willbe necessary to assess if the project will change the noise levels in the region.
Impact on This criterion is associated with problems like bird electrocution, collision
birds and mortality, reduction of available habitat, disturbance of nesting, alteration of
Wildlife migration habits and general habitat disturbances due the increase of humanactivity.
Social This criterion is associated with the way the project will be seen and accepted
Acceptance bythe population in general. It may generate some resistance or on the otherhand may be considered desirable.
Delphi Implementation
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Determination of weights for the electricity
generation options
Delphi Implementation
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Determination of weights for the electricity
generation options
Delphi Implementation
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Incorporating the social index into the
electricity planning model
Integrated Electricity PlanningModel (IEPM)
non-linear electricity planning model (NLEPM)