Abstract
This study is a case study for modelling and solving a real-life problem. In this study, a practical approximation for finding an optimum location of a foundation was realized with k-means clustering and optimization. Duzce, in the northwest of Turkey, has been researched for the biogas potential to found biogas plant. With this aim, the number of poultry in Duzce has been determined and presented their potential of biogas. Since the number of poultry is quite enough to found a biogas plant, later the location of the poultry farms and their potentials has been determined. Since there are more than 400 poultry farms in Duzce, firstly locations are clustered with classical k-means algorithm. k is specified as 6–8 with an expert knowledge. Later, the nearest location for each cluster center has been attained with simulated annealing with the objective of minimizing the transportation cost. As a result, it has been determined an optimum location for probable biogas plant for Duzce.
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http://www.google.com/green/bigpicture. Latest Access date 28 May 2015
International Energy Agency. Renewable energy outlook (2012). www.worldenergyoutlook.org/media/weowebsite/2012/WEO2012_Renewables.pdf
Jebli MB, Youssef SB (2015) Output, renewable and non-renewable energy consumption and international trade: evidence from a panel of 69 countries. Renew Energy 83:799–808
Havukainen J, Uusitalo V, Niskanen A, Kapustina V, Horttanainen M (2014) Evaluation of methods for estimating energy performance of biogas production. Renew Energy 66:232–240
Ganzoury MA, Allam NK (2015) Impact of nanotechnology on biogas production: a mini-review. Renew Sustain Energy Rev 50:1392–1404
Lebuhn M, Munk B, Effenberger M (2014) Agricultural biogas production in Germany-from practice to microbiology basics. Energy Sustain Soc 4:10
Bo Z, Hongbo C (2010) Research on Chinese household or livestock farms biogas practical energy technologies. In: 2010 International conference on internet technology and applications, pp 1–4, 20–22 Aug 2010
Duan N, Lin C, Wang P, Meng J, Chen H, Li X (2014) Ecological analysis of a typical farm-scale biogas plant in China. Front Earth Sci 8(3):375–384
Khelidj B, Abderezzak B, Kellaci A (2012) Biogas production potential in Algeria: waste to energy opportunities. In: 2012 International conference on renewable energies for developing countries (REDEC), pp 1–5, 28–29 Nov 2012
Ingrao C, Rana R, Tricase C, Lombardi M (2015) Application of Carbon Footprint to an agro-biogas supply chain in Southern Italy. Appl Energy 149:75–88
Sulistyo H, Syamsiah S, Herawati DA, Wibawa AA (2012) Biogas production from traditional market waste to generate renewable energy. In: 2012 7th International forum on strategic technology (IFOST), pp 1–4, 18–21 Sept 2012. doi:10.1109/IFOST.2012.6357507
Anbu ER, Mohan P (2014) Bio-gas power plants—Green energy options for Indian villages. In: 2014 International conference on green computing communication and electrical engineering (ICGCCEE), pp 1–3, 6–8 March 2014. doi:10.1109/ICGCCEE.2014.6922457
Noorollahi Y, Kheirrouz M, Asl HF, Yousefi H, Hajinezhad A (2015) Biogas production potential from livestock manure in Iran. Renew Sustain Energy Rev 50:748–754. doi:10.1016/j.rser.2015.04.190
Igliński B, Buczkowski R, Cichosz M (2015) Biogas production in Poland—Current state, potential and perspectives. Renew Sustain Energy Rev 50:686–695. doi:10.1016/j.rser.2015.05.013
Sovacool BK, Kryman M, Smith T (2015) Scaling and commercializing mobile biogas systems in Kenya: a qualitative pilot study. Renew Energy 76:115–125. doi:10.1016/j.renene.2014.10.070
Evrendilek F, Ertekin C (2002) Agricultural sustainability in Turkey: integrating food, environmental and energy securities. Land Degrad Dev 13(1):61–67
Evrendilek F, Ertekin C (2003) Assessing the potential of renewable energy sources in Turkey. Renew Energy 28:2303–2315
Melikoglu M (2013) Vision 2023: feasibility analysis of Turkey’s renewable energy projection. Renew Energy 50:570–575
Kaygusuz K, Kaygusuz A (2002) Renewable energy and sustainable development in Turkey. Renew Energy 25(3):431–453. doi:10.1016/S0960-1481(01)00075-1
Yuksel I (2012) Global warming and environmental benefits of hydroelectric for sustainable energy in Turkey. Renew Sustain Energy Rev 16(6):3816–3825
Kaygusuz K, Türker MF (2002) Biomass energy potential in Turkey. Renew Energy 26(4):661–678. doi:10.1016/S0960-1481(01)00154-9
Ozgur MA (2008) Review of Turkey’s renewable energy potential. Renew Energy 33(11):2345–2356. doi:10.1016/j.renene.2008.02.003
Yüksel I (2010) Energy production and sustainable energy policies in Turkey. Renew Energy 35(7):1469–1476. doi:10.1016/j.renene.2010.01.013
Basaran ST, Dogru AO, Balcik FB, Ulugtekin NN, Goksel C, Sozen S (2015) Assessment of renewable energy potential and policy in Turkey—toward the acquisition period in European Union. Environ Sci Policy 46:82–94. doi:10.1016/j.envsci.2014.08.016
Benli H (2013) Potential of renewable energy in electrical energy production and sustainable energy development of Turkey: performance and policies. Renew Energy 50:33–46. doi:10.1016/j.renene.2012.06.051
Toklu E (2013) Overview of potential and utilization of renewable energy sources in Turkey. Renew Energy 50:456–463. doi:10.1016/j.renene.2012.06.035
Çelik İ, Demirer GN (2015) Biogas production from pistachio (Pistacia vera L.) processing waste. Biocatal Agric Biotechnol 4(4):767–772. doi:10.1016/j.bcab.2015.10.009
Ozsoy G, Alibas I (2015) GIS mapping of biogas potential from animal wastes in Bursa, Turkey. Int J Agric Biol Eng 8(1):74–83
Coskun C, Bayraktar M, Oktay Z, Dincer I (2012) Investigation of biogas and hydrogen production from waste water of milk-processing industry in Turkey. Int J Hydrog Energy 37(21):16498–16504. doi:10.1016/j.ijhydene.2012.02.174
URL, Turkey Statistic Institute. http://tuikapp.tuik.gov.tr/hayvancilikapp/hayvancilik.zul. Access date 19 Dec 2014
Turkey Renewable Energy Directorate General. http://www.eie.gov.tr/yenilenebilir/biyogaz.aspx. Access date 30 May 2015
MacQueen J et al (1967) Some methods for classification and analysis of multivariate observations. In Proceedings of the fifth Berkeley symposium on mathematical statistics and probability, vol 1. Oakland, CA, pp 281–297
Öztürk MM, Cavusoglu U, Zengin A (2015) A novel defect prediction method for web pages using k-means++. Expert Syst Appl 42(19):6496–6506. doi:10.1016/j.eswa.2015.03.013
Al-Mohair HK, Saleh JM, Suandi SA (2015) Hybrid human skin detection using neural network and k-means clustering technique. Appl Soft Comput 33:337–347. doi:10.1016/j.asoc.2015.04.046
Isakov SV, Zintchenko IN, Rønnow TF, Troyer M (2015) Optimised simulated annealing for Ising spin glasses. Comput Phys Commun 192:265–271. doi:10.1016/j.cpc.2015.02.015
Blum C, Roli A (2001) Metaheuristics in combinatorial optimization: overview and conceptual comparasion. Technical Report, TR/IRIDIA/2001-13
http://duzce.tarim.gov.tr/Sayfalar/EN/AnaSayfa.aspx. Access date 1 July 2015
https://www.google.com/maps/place/40%C2%B053’24.0%22N+31%C2%B009’36.0%22E/@40.8874045,31.1572534,13z/data=!4m2!3m1!1s0x0:0x0. Access date 1 July 2015
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Yuruk, F., Erdogmus, P. Finding an optimum location for biogas plant: a case study for Duzce, Turkey. Neural Comput & Applic 29, 157–165 (2018). https://doi.org/10.1007/s00521-016-2424-3
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DOI: https://doi.org/10.1007/s00521-016-2424-3