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Sustainability Assessment of Solar Technologies Based on Linguistic Information Read chapter Read first chapter

2013 | OriginalPaper | Chapter

6. Territorial Design for Matching Green Energy Supply and Energy Consumption: The Case of Turkey

Authors : Seda Uğurlu, Başar Öztayşi, Cengiz Kahraman

Published in: Assessment and Simulation Tools for Sustainable Energy Systems

Publisher: Springer London

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Abstract

Green energy (GE) refers to energy sources that have no undesired consequences such as carbon emissions from fossil fuels or hazardous waste from nuclear energy. Alternative energy sources are renewable and are thought to be “free” energy sources. These include biomass energy, wind energy, solar energy, geothermal energy, and hydroelectric energy sources. GE supply is viewed as an option for satisfying the increased energy demand with the prospect of carbon accountability. However, geographical areas have diverse GE resources and different levels of energy consumptions. Territory design is defined as the problem of grouping geographic areas into larger geographic clusters called territories in such a way that the grouping is acceptable according to the planning criteria. The aim of this study is to group geographic areas in such a way that energy requirement in a geographic cluster matches the available GE potential in the same cluster. In this way, investments may be supported through region specific policies.

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Literature
Alsamamra H, Ruiz-Arias JA, Pozo-Vazquez D, Tovar-Pescador J (2009) A comparative study of ordinary and residual kriging techniques for mapping global solar radiation over southern Spain. Agric For Meteorol 149:1343–1357CrossRef
Amarawickrama HA, Hunt LC (2008) Electricity demand for Sri Lanka: a time series analysis. Energy 33(5):724–739CrossRef
Amjady N, Keynia F (2008) Day ahead price forecasting of electricity markets by a mixed data model and hybrid forecast method. Int J Electr Power Energy Syst 30(9):533–546CrossRef
Angelis-Dimakis A, Biberacher M, Dominguez J, Fiorese G, Gadocha S, Gnansounou E, Guariso G, Kartalidis A, Panichelli L, Pinedo I, Robba M (2011) Methods and tools to evaluate the availability of renewable energy sources. Renew Sustain Energy Rev 15:1182–1200CrossRef
Arnesano M, Carlucci AP, Laforgia D (2012) Extension of portfolio theory application to energy planning problem—The Italian case. Energy 39(1):112–124CrossRef
Ayoub N, Elmoshi E, Seki H, Naka Y (2009) Evolutionary algorithms approach for integrated bioenergy supply chains optimization. Energy Convers Manage 50(12):2944–2955CrossRef
Bergey PK, Ragsdale CT, Hoskote M (2003) A simulated annealing genetic algorithm for the electrical power districting problem. Ann Oper Res 121:33–55MathSciNetMATHCrossRef
Bianco V, Manca O, Nardini S (2009) Electricity consumption forecasting in Italy using linear regression models. Energy 34(9):1413–1421CrossRef
Bitzer B, Papazoglou TM, Rosser F, (1997) Intelligent Load Forecasting for the Electrical Power System on Crete, Proceedings 33rd Universities Power Engineering Conference (UPEC), pp 891–894
BNEF (2012) The future of energy 2012 Results Book befsummit.com: Bloomberg New Energy Finance
Born FJ (2001) Aiding renewable energy integration through complimentary demand-supply matching. Ph.D. Thesis, University of Strathclyde, France
Bourjolly JM, Laporte G, Rousseau JM (1981) Decoupage electoral automatise: Application a I’Ile de Montreal. INFOR 19:113–124
Bozkaya B, Erkut E, Laporte G (2003) A tabu search heuristic and adaptive memory procedure for political districting. Eur J Oper Res 144(1):12–26MATHCrossRef
Chen WB, Liu WC, Huang LT (2012) Measurement of sediment oxygen sa for modeling the dissolved oxygen distribution in a Subalpine lake. Int J Phys Sci 7(27):5036–5048
Choi KH, Ang BW (2001) A time-series analysis of energy-related carbon emissions in Korea. Energy Policy 29(13):1155–1161CrossRef
Cormio C, Dicorato M, Minoia A, Trovato M (2003) A regional energy planning methodology including renewable energy sources and environmental constraints. Renew Sustain Energy Rev 7(2):99–130CrossRef
CRA (2005) Primer on demand-side management, with an emphasis on price-responsive programs. Charles River Associates California (USA)
Dagdougui H, Ouammia A, Sacile R (2011) A regional decision support system for onsite renewable hydrogen production from solar and wind energy sources. Int J Hydrogen Energy 36:14324–14334CrossRef
Drozdz M (2003) An optimisation model of geothermal-energy conversion. Appl Energy 74(1–2):75–84CrossRef
Easingwood C (1973) Heuristic approach to selecting sales regions and territories. Oper Res Q 24:527–534CrossRef
EPDK (2010) Elektrik Piyasası Raporu 2010, Enerji piyasası düzenleme kurumu, Turkey
Fleischrnann B, Paraschis JN (1988) Solving a Large Scale Districting Problern: A Case Report. Computers and Operations Research 15:521–533
Forman SL, Yue Y (2003) Congressional districting using a TSP–based genetic algorithm. In: Cant u-Paz E et al (eds) Genetic and evolutionary computation—GECCO 2003. Genetic and evolutionary computation conference, Chicago, IL, (USA)
Frei CW, Haldi PA, Sarlos G (2003) Dynamic formulation of a top-down and bottom-up merging energy policy model. Energy Policy 31(10):1017–1031CrossRef
George JA, Larnar BW, Wallace CA (1997) Political district determination using large-scale network optimization. Socio-Econ Plann Sci 31(11):28
Giatrakos GP, Tsoutsos TD, Mouchtaropoulos PG, Naxakis GD, Stavrakakis G (2009) Sustainable energy planning based on a stand-alone hybrid renewableenergy/hydrogen power system: Application in Karpathos island, Greece. Renewable Energy 34(12):2562–2570CrossRef
Hess SW, Weaver JB, Siegfeldt HJ, Whelan JN, Zitlau PA (1965) Nonpartisan political redistricting by computer. Oper Res 13:998–1008CrossRef
Hess SW, Samuels SA (1971) Experiences with a sales districting model: criteria and implementation. Manage Sci 18:41–54CrossRef
Hiremath RB, Kumar B, Balachandra P, Ravindranath NH (2010) Bottom-up approach for decentralised energy planning: case study of Tumkur district in India. Energy Policy 38(2):862–874CrossRef
Howick RS, Pidd M (1990) Sales force deployment models. Eur J Oper Res 48(295):310
Hutchingson A (2011) The new energy fixes: 10 fixes. Popular mechanics. June 2011: 73. Print
IEA (2005) Energy statistics manual. International Energy Agency
IEA (2010) Trends in photovoltaic applications—Survey report of selected IEA countries between 1992 and 2009. International Energy Agency
IPCC (2012) Special report of the intergovernmental panel on climate change. In: Ottmar Edenhofer O, Madruga RP, Sokona Y, Seyboth K, Eickemeier P, Matschoss P, Hansen G, Kadner S, Schlömer S, Zwickel T, Von Stechow C (eds) Renewable energy sources and climate change mitigation. Intergovernmental panel on climate change
Kalcsics J, Melo T, Nickel S, H Gundra (2001) Planning sales territories—A facility location approach. Operations Research Proceedings 2001, pp 141–148
Kalcsics J, Nickel S, Schrsder M (2005) "Towards a Unified Territorial Design Approach - Applications, Algorithms and GIS Integration." Sociedad de Estadlstica e Investigación Operativa Top 13(1):1–74
Kermanshahi B, Akiyama Y, Yokoyama R, Asari M, Takahashi K (1997) Recurrent Neural Network for Forecasting Next 10 Years Loads of 9 Japanese Utilities, Proceedings 33rd Universities Power Engineering Conference (UPEC)
Lin QG, Huang GH (2010) An inexact two-stage stochastic energy systems planning model for managing greenhouse gas emission at a municipal level. Energy 35(5):2270–2280CrossRef
Lodish LM (1975) Sales territory alignment to maximize profit. J Mark Res 12:30–36CrossRef
Lodish LM (1976) Assigning salesmen to accounts to maximize profit. J Mark Res 8:440–444CrossRef
Marlin PG (1981) Application of the transportation model to a large scale districting problem. Comput Oper Res 8:83–96CrossRef
Matthews RW (2001) Modelling of energy and carbon budgets of wood fuel coppice systems. Biomass Bioenergy 21(1):1–19MathSciNetCrossRef
Mazur A (1994) How does population growth contribute to rising energy consumption in America? Popul Environ: J Interdiscip Stud 15(5):371–378CrossRef
Midilli A, Dincer I, Ay M (2006) Green energy strategies for sustainable development. Energy Policy 34(18):3623–3633CrossRef
Ogston E, Zeman A, Prokopenko M, James G (2007) Clustering distributed energy resources for large-scale demand management. First international conference on self-adaptive and self-organizing systems, IEEE
Özveren CS, Fayall L, Birch AP (1997) A Fuzzy Clustering and Classification Technique For Customer Profiling. Proceedings of the 32nd University Power Engineering Conference. pp 906–909
Papadopoulos A, Karagiannidis A (2008) Application of the multi-criteria analysis method Electre III for the optimisation of decentralised energy systems. Omega 36(5):766–776CrossRef
Parikh JK, Painuly JP (1994) Population, consumption patterns and climate change: A socioeconomic perspective from the South. Ambio 23(7):434–437
Persaud AJ, Kumar U (2001) An eclectic approach in energy forecasting: a case of Natural Resources Canada’s (NRCan’s) oil and gas outlook. Energy Policy 29(4):303–313CrossRef
Poggi P, Muselli M, Notton G, Cristofari C, Louche A (2003) Forecasting and simulating wind speed in Corsica by using an autoregressive model. Energy Convers Manage 44(20):3177–3196CrossRef
Ricca F, Simeone B (1997) Political districting: traps, criteria, algorithms and trade off. Ricerca Operativa AIRO 27(81):119
Ricca F (1996) Algorthmi di ricerca locale per la distrettizzazione elettorale. Atti Giornate AIRO 634–637
Sadeghi M, Hosseini HM (2008) Integrated energy planning for transportation sector—A case study for Iran with techno-economic approach. Energy Policy 36(2):850–866CrossRef
Saito H, McKenna SA, Zimmerman DA, Coburn TC (2005) Geostatistical interpolation of object counts collected from multiple strip transects: Ordinary kriging versus finite domain kriging. Stoch Env Res Risk Assess 19(1):71–85MATHCrossRef
Scott JA, Ho W, Dey PK (2012) A review of multi-criteria decision-making methods for bioenergy systems. Energy 42(1):146–156CrossRef
Shafie-Khah M, Moghaddam MP, Sheikh-El-Eslami MK (2011) Price forecasting of day-ahead electricity markets using a hybrid forecast method. Energy Convers Manage 52(5):2165–2169CrossRef
Shen YC, Chou CJ, Lin GTR (2011) The portfolio of renewable energy sources for achieving the three E policy goals. Energy 36(5):2589–2598CrossRef
Shrestha, Lie TT, (1993) Qualitative use of Forecast Variables in Hybrid Load Forecasting Techniques, IEE 2nd International Conference in Power System Control, Operation and Management
Silva Herran D, Nakata T (2012) Design of decentralized energy systems for rural electrification in developing countries considering regional disparity. Appl Energy 91(1):130–145CrossRef
Terrados J, Almonacid G, Perez-Higueras P (2009) Proposal for a combined methodology for renewable energy planning. Application to a Spanish region. Renew Sustain Energy Rev 13:2022–2030CrossRef
Tsoutsos T, Drandaki M, Frantzeskaki N, Iosifidis E, Kiosses I (2009) Sustainable energy planning by using multi-criteria analysis application in the island of Crete. Energy Policy 37(5):1587–1600CrossRef
Weber C, Koyama M, Kraines S (2006) CO2-emissions reduction potential and costs of a decentralized energy system for providing electricity, cooling and heating in an office-building in Tokyo. Energy 31(14):3041–3061CrossRef
Weisser D (2003) A wind energy analysis of Grenada: an estimation using the ‘Weibull’ density function. Renewable Energy 28(11):1803–1812CrossRef
Wiser R, Bolinger M (2007) Annual report on U.S. Wind power installation, cost, and performance trends: 2007. Lawrence Berkeley National Laboratory
Wüstenhagen R, Menichetti E (2012) Strategic choices for renewable energy investment: conceptual framework and opportunities for further research. Energy Policy 40:1–10CrossRef
Yüksel İ, Kaygusuz K (2011) Renewable energy sources for clean and sustainable energy policies in Turkey. Renew Sustain Energy Rev 15:4132–4144CrossRef
Zoltners AA, Sinha P (1983) Sales territory alignment: a review and model. Manage Sci 29:1237–1256MATHCrossRef
Metadata
Title
Territorial Design for Matching Green Energy Supply and Energy Consumption: The Case of Turkey
Authors
Seda Uğurlu
Başar Öztayşi
Cengiz Kahraman
Copyright Year
2013
Publisher
Springer London
Book
Assessment and Simulation Tools for Sustainable Energy Systems

Print ISBN: 978-1-4471-5142-5

Electronic ISBN: 978-1-4471-5143-2

Copyright Year: 2013

DOI
https://doi.org/10.1007/978-1-4471-5143-2_6