Indicators, Modelling, and Visualization of Islands

Indicators, Modelling, and Visualization of Islands

DOI: 10.4018/978-1-5225-6002-9.ch005
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Abstract

In this chapter, the author presents a discussion on the range and usefulness of energy models in an island context, pros and cons of the various methodologies, and selection criteria that could guide a proper model choice for further implementation. The analysis has been done considering a clustering approach. Following this, the author presents a “toy” model called ISLA (sustainable islands), which has been developed for students to evaluate energy systems in islands. The model has been tested on numerous islands so far. For demonstration purpose, Crete island has been considered as a case study to capture the model flexibility and adaptability features. The rationale of using the model is discussed, together with the data needed, the validity and usefulness of outcomes produced, and the way such tools can guide policy making. Comparing the toy model with a sophisticated approach demonstrates some interesting advantages offered by this methodology and visualization.
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Island Indicators And Criteria For Classification

Islands are all of sort of forms, shape, size and have diverse characteristics. Indicators could provide us understanding on the nature of islands and identify islands with particular characteristics. Measuring the isolation of an island from other human inhabited places, can give us an indication of isolation. Or measuring the percentage of the land area of an island above sea level can give us an indication of the risk of the sea level rise. Measuring the level of economic development and impact on the environment considering income per capita and gross domestic product can provide an indication of the wealth of the islands. However, there are no statistics to allow the calculations to be applied for islands.

The benchmarking study could be done based on the cluster methodology. For example let’s assume we have a group of seven islands with similar climatic conditions, but different socio-economic characteristics. First step is to analyse the socio-economic characteristics and organize them in a number of clusters. Let’s assume we end up with four clusters. In this case, the seven islands could belong to the same climatic cluster, but to the four different socio-economic clusters. The primary objective is to have the ability to design renewable energy systems for islands with similar conditions. Although islands have commonalities, when it comes to policy making, careful treat must be provided. The following list provides a template for classifying islands around the world to assist in policy making and planning (Sheldon, 2005):

  • Climate Characteristics (cold, temperate or tropical).

  • Proximity to the mainland, since islands that are more remote and distant are challenged to cope with their remoteness and they face complications in accessibility and connectivity

  • Size and impact on increase of number of tourisms during seasonal term

  • Proximity to other islands

  • The Governance of the island plays a role in the support of sustainable development plans. Depending on if the island is an autonomous state or they are part of larger countries and follow the same national or regional policies could impact future plans based on the applied national strategies.

  • Population levels/Economic Growth is significant in designing sustainable policies. Usually in such islands sustainable environmental practices in tourism can found prosperous ground even inside the local community while in larger islands centralized policies are required applicable to the different sub-sector of tourism

  • Homogeneity of the population and the socio-cultural sustainability of island goals affect the resilience of the locals to large tourism waves.

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Islands Studies And Models

We have reviewed some of the existing energy models and which of them have been applied to islands. This section seeks to compile together the information (Table1). The list is not exhaustive.

Table 1.
Energy models applied for islands case studies
ModelLinkReferences
EnergyPLANhttp://www.energyplan.eu Connolly et al. (2011)
H2REShttp://h2res.fsb.hr Chen et al. (2007)
MARKAL/TIMEShttp://www.iea-etsap.org/web/Markal.asp Das and Ahlgren (2007)
ENPEP-BALANCEhttp://ceeesa.es.anl.gov/news/EnpepwinApps.htmlCentre for Energy, Environmental and System Analysis
Inverthttp://www.invert.at Tsioliaridou et al. (2006)
LEAPhttp://www.energycommunity.org Giatrakos et al (2009)
SimRENhttp://www.energyplan.eu/othertools/national/simren/ Lehmann (2003)
UniSyD3.0http://www.energyplan.eu/othertools/national/unisyd3-0/ Leaver et al (2012)
WILMAR Planning Toolhttp://www.wilmar.risoe.dk/project_description.htm Mebom et al (2007)
HOMERhttp://www.homerenergy.com/index.html Demiroren and Yilmaz (2010)
RETScreenhttp://www.nrcan.gc.ca/energy/software-tools/7465 Bakos and Soursos (2002)
MESSAGEhttp://www.iiasa.ac.at/web/home/research/researchPrograms/Energy/MESSAGE.en.html International Atomic Energy Agency (2008)
TRNSYShttp://www.trnsys.com Kalogirou (2001)

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