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CO2 capture, utilization, and storage (CCUS) storage site selection using DEMATEL-based Grey Relational Analysis and evaluation of carbon emissions with the ARIMA method

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Abstract

Various systems are increasing gradually to reduce environmental concerns carbon capture, use, and storage (CCUS) systems are one of the most preferred processes in this context. Special areas such as depleted oil and gas reservoirs, aquifer reservoirs, and salt cave reservoirs are required needed to use this technology and, considering various criteria to decide on these areas is necessary. In this study, the problem of choosing the most suitable CCUS site selection for Turkey is discussed. In the study, for the alternative areas (Adıyaman, Aksaray, Diyarbakır, Afyon, and Tekirdağ) determined, 11 sub-assessment criteria (cost, CO2 state, regional risk, infrastructure availability, reservoir permeability, storage capacity, thickness reservoir, porosity, transportation availability, sustainability, facilities in operation by application) were discussed under CCUS main criterias (carbon capture, carbon storage, and carbon use). The DEMATEL method was used for the weights of the evaluation criteria. Unweighted gray relational analysis (GRA) method and DEMATEL-based GRA method were used to rank the alternatives. According to unweighted GRA results, Aksaray, Adıyaman, Afyon, Tekirdağ, and Diyarbakır decisions are obtained, respectively. According to the weighted GRA results, Aksaray, Adıyaman, Tekirdağ, Afyon, and Diyarbakır decisions are obtained, respectively. Calculation results demonstrated that Aksaray region is the most suitable alternative CCUS area for both methods. The CO amount values for the next period were estimated for this area and evaluated with the auto-regressive integrated moving average (ARIMA) method by the Minitab. By considering 1013 days of CO data, according to the MA(1) model estimation results were obtained values between 410.899 (μg/m3) and 459.909 (μg/m3). With the installation of the CCUS facility, this value could be checked again by examining it. The use of real data in the study increases the effectiveness of the proposed approach.

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References

  • Alcalde J, Heinemann N, James A, Bond CE, Ghanbari S, Mackay EJ, Haszeldine RS, Faulkner DR, Worden RH, Allen MJ (2021) A criteria-driven approach to the CO2 storage site selection of East Mey for the acorn project in the North Sea. Mar Pet Geol 133:105309

    Article  CAS  Google Scholar 

  • Alfaseeh L, Tu R, Farooq B, Hatzopoulou M (2020) Greenhouse gas emission prediction on a road network using deep sequence learning. Transp Res Part D: Transp Environ 88:102593

    Article  Google Scholar 

  • Aydin G (2015) The development and validation of regression models to predict energy-related CO2 emissions in Turkey. Energy Sources, Part B: Econ Plan Policy 10(2):176–182

    Article  CAS  Google Scholar 

  • Baranitharan P, Ramesh K, Sakthivel R (2019) Multi-attribute decision-making approach for Aegle marmelos pyrolysis process using TOPSIS and Grey Relational Analysis: assessment of engine emissions through novel Infrared thermography. J Clean Prod 234:315–328

    Article  CAS  Google Scholar 

  • Carlotto V, Dueñas A, Ingol-Blanco E, Santa-Cruz S (2022) A multi-criteria approach to the selection of geological storage of CO2 sites in Peru. Int J Greenhouse Gas Control 114:103600

    Article  CAS  Google Scholar 

  • Chan JW, Tong TK (2007) Multi-criteria material selections and end-of-life product strategy: grey relational analysis approach. Mater Des 28(5):1539–1546

    Article  CAS  Google Scholar 

  • Chandrasekharam D, Baba A (2022) Carbon dioxide emissions mitigation strategy through enhanced geothermal systems: western Anatolia, Turkey. Environ Earth Sci 81(8):1–13

    Article  Google Scholar 

  • Derse O, Yılmaz E (2022) Optimal site selection for wind energy: a case study. Energy Sources, Part A: Recovery, Util Environ Effects 44(3):6660–6677

    Article  Google Scholar 

  • Derse O, Oturakci M, Dagsuyu C (2022) Risk analysis application to hazardous material transportation modes. Transp Res Rec 2676(3):586–597

    Article  Google Scholar 

  • Deveci M (2018) Site selection for hydrogen underground storage using interval type-2 hesitant fuzzy sets. Int J Hydrog Energy 43(19):9353–9368

    Article  CAS  Google Scholar 

  • Deveci M, Demirel NÇ, John R, Özcan E (2015) Fuzzy multi-criteria decision making for carbon dioxide geological storage in Turkey. J Nat Gas Sci Eng 27:692–705

    Article  CAS  Google Scholar 

  • Deveci M, Mishra AR, Gokasar I, Rani P, Pamucar D, Ozcan E (2022) A decision support system for assessing and prioritizing sustainable urban transportation in metaverse. IEEE Trans Fuzzy Syst

  • Fırtına Ertiş I (2018) Application of multi-criteria decision making for geological carbon dioxide storage in Turkey. Anadolu Univ J Sci Technol A-Appl Sci Eng 19(2):536–545

    Google Scholar 

  • Gabus A, Fontela E (1972) World problems, an invitation to further thought within the framework of DEMATEL. Battelle Geneva Research Center, Geneva, pp 1–8

    Google Scholar 

  • Gough C, Shackley S (2006) Towards a multi-criteria methodology for assessment of geological carbon storage options. Clim Chang 74(1):141–174

    Article  CAS  Google Scholar 

  • Guo J, Yin J, Zhang L, Lin Z, Li X (2020) Extended TODIM method for CCUS storage site selection under probabilistic hesitant fuzzy environment. Appl Soft Comput 93:106381

    Article  Google Scholar 

  • Holubnyak E, Hasiuk F, Meng J, Mohammadi S, Hollenbach J, Wreath D, Smith M, Smith C, Raines J (2020) CCUS storage site selection for a hub concept in Southwestern Kansas. GCAGS Trans 70(1):243–244

    Google Scholar 

  • Hosseini SM, Saifoddin A, Shirmohammadi R, Aslani A (2019) Forecasting of CO2 emissions in Iran based on time series and regression analysis. Energy Rep 5:619–631

    Article  Google Scholar 

  • Hsu CW, Chen LT, Hu AH, Chang YM (2012) Site selection for carbon dioxide geological storage using analytic network process. Sep Purif Technol 94:146–153

    Article  CAS  Google Scholar 

  • International Energy Agency (2021) https://www.iea.org/data-and-statistics/data. Accessed 30 Dec 2021

  • Iqbal N, Bakhsh KHUDA, Maqbool ASIF, Ahmad AS (2005) Use of the ARIMA model for forecasting wheat area and production in Pakistan. J Agric Soc Sci 1(2):120–122

    Google Scholar 

  • Julong D (1982) Control problems of grey systems. Syst Control Lett 5:288–294

    Article  Google Scholar 

  • Julong D (1989) Introduction to Grey System Theory. J Grey Syst 1(1):1–24

    Google Scholar 

  • Köne AÇ, Büke T (2010) Forecasting of CO2 emissions from fuel combustion using trend analysis. Renew Sust Energ Rev 14(9):2906–2915

    Article  Google Scholar 

  • Kuo Y, Yang T, Huang GW (2008) The use of grey relational analysis in solving multiple attribute decision-making problems. Comput Ind Eng 55(1):80–93

    Article  Google Scholar 

  • Li Q, Liu G, Leamon G, Liu LC, Cai B, Chen ZA (2017) A national survey of public awareness of the environmental impact and management of CCUS technology in China. Energy Procedia 114:7237–7244

    Article  Google Scholar 

  • Lin Y, Chen MY, Liu S (2004) Theory of grey systems: capturing uncertainties of grey information. Kybernetes 33(2):196–218

    Article  Google Scholar 

  • Llamas B, Cámara A (2014) Application of multicriteria algorithm to select suitable areas for storing CO2: CO2SiteAssess software. Energy Procedia 63:4977–4986

    Article  CAS  Google Scholar 

  • Llamas B, Cienfuegos P (2012) multicriteria decision methodology to select suitable areas for storing CO2. Energy Environ 23(2-3):249–264

    Article  Google Scholar 

  • Lotfalipour MR, Falahi MA, Bastam M (2013) Prediction of CO2 emissions in Iran using grey and ARIMA models. Int J Energy Econ Policy 3(3):229

    Google Scholar 

  • Mulyasari F, Harahap AK, Rio AO, Sule R, Kadir WGA (2021) Potentials of the public engagement strategy for public acceptance and social license to operate: case study of carbon capture, utilisation, and storage Gundih pilot project in Indonesia. Int J Greenhouse Gas Control 108:103312

    Article  CAS  Google Scholar 

  • Ning L, Pei L, Li F (2021) Forecast of China’s carbon emissions based on Arima method. Discrete Dyn Nat Soc 2021:12

    Article  Google Scholar 

  • Núñez-López V, Gil-Egui R, Hosseini SA (2019) Environmental and operational performance of CO2-EOR as a CCUS technology: A Cranfield example with dynamic LCA considerations. Energies 12(3):448

    Article  Google Scholar 

  • Nyoni T, Bonga WG (2019) Prediction of CO2 emissions in India using ARIMA models. DRJ-J Econ Finance 4(2):01–10

    Google Scholar 

  • Pamucar D, Deveci M, Canıtez F, Paksoy T, Lukovac V (2021) A novel methodology for prioritizing zero-carbon measures for sustainable transport. Sustain Prod Consump 27:1093–1112

    Article  Google Scholar 

  • Pamucar D, Torkayesh AE, Deveci M, Simic V (2022) Recovery center selection for end-of-life automotive lithium-ion batteries using an integrated fuzzy WASPAS approach. Expert Syst Appl 206:117827

    Article  Google Scholar 

  • Promentilla MAB, Tapia JFD, Arcilla CA, Dugos NP, Gaspillo PD, Roces SA, Tan RR (2013) Interdependent ranking of sources and sinks in CCS systems using the analytic network process. Environ Model Softw 50:21–24

    Article  Google Scholar 

  • Ramírez A, Hagedoorn S, Kramers L, Wildenborg T, Hendriks C (2010) Screening CO2 storage options in the Netherlands. Int J Greenhouse Gas Control 4(2):367–380

    Article  Google Scholar 

  • Ratanavaraha V, Jomnonkwao S (2015) Trends in Thailand CO2 emissions in the transportation sector and Policy Mitigation. Transp Policy 41:136–146

    Article  Google Scholar 

  • Raza A, Rezaee R, Gholami R, Bing CH, Nagarajan R, Hamid MA (2016) A screening criterion for selection of suitable CO2 storage sites. J Nat Gas Sci Eng 28:317–327

    Article  CAS  Google Scholar 

  • Republic of Turkey Ministry of Environment, Urbanization and Climate Change (2021a) Air quality - station data download, https://sim.csb.gov.tr/STN/STN_Report/StationDataDownloadNew. Accessed 9 Mar 2022

  • Republic of Turkey Ministry of Environment, Urbanization and Climate Change (2021b) https://www.havaizleme.gov.tr/. Accessed 29 Dec 2021

  • Shen JL, Liu YM, Tzeng YL (2012) The cluster weighted DEMATEL with ANP method for supplier selection in food industry. J Adv Comput Intell Intell Inform 16(5):567–575

    Article  Google Scholar 

  • Sun X, Alcalde J, Gomez-Rivas E, Struth L, Johnson G, Travé A (2020) Appraisal of CO2 storage potential in compressional hydrocarbon-bearing basins: global assessment and case study in the Sichuan Basin (China). Geosci Front 11(6):2309–2321

    Article  CAS  Google Scholar 

  • Tapia JFD, Lee JY, Ooi RE, Foo DC, Tan RR (2018) A review of optimization and decision-making models for the planning of CO2 capture, utilization, and storage (CCUS) systems. Sustain Prod Consump 13:1–15

    Article  Google Scholar 

  • Tian C, Feng G, Li S, Xu F (2019) Scenario analysis on energy consumption and CO2 emissions reduction potential in building heating sector at community level. Sustainability 11(19):5392

    Article  CAS  Google Scholar 

  • Turkish Statistical Institute (TURKSTAT), (2021). https://biruni.tuik.gov.tr/ilgosterge/?locale=tr. Accessed 29 Dec 2021

  • Uliasz-Misiak B, Lewandowska-Śmierzchalska J, Matuła R (2021) Criteria for selecting sites for integrated CO2 storage and geothermal energy recovery. J Clean Prod 285:124822

    Article  CAS  Google Scholar 

  • Uygun Ö, Kaçamak H, Kahraman ÜA (2015) An integrated DEMATEL and fuzzy ANP techniques for evaluation and selection of outsourcing provider for a telecommunication company. Comput Ind Eng 86:137–146

    Article  Google Scholar 

  • Von Rothkirch J, Ejderyan O (2021) Anticipating the social fit of CCS projects by looking at place factors. Int J Greenhouse Gas Control 110:103399

    Article  Google Scholar 

  • Xu S, Dai S (2021) CCUS as a second-best choice for China’s carbon neutrality: an institutional analysis. Clim Pol 21(7):927–938

    Article  Google Scholar 

  • Yang CC, & Chen BS (2006). Supplier selection using combined analytical hierarchy process and grey relational analysis. J Manuf Technol Manag

  • Yang H, O’Connell JF (2020) Short-term carbon emissions forecast for aviation industry in Shanghai. J Clean Prod 275:122734

    Article  CAS  Google Scholar 

  • Yazdi M, Khan F, Abbassi R, Rusli R (2020) Improved DEMATEL methodology for effective safety management decision-making. Saf Sci 127:104705

    Article  Google Scholar 

  • Yong X, Chen W, Wu Y, Tao Y, Zhou J, He J (2022) A two-stage framework for site selection of underground pumped storage power stations using abandoned coal mines based on multi-criteria decision-making method: an empirical study in China. Energy Convers Manag 260:115608

    Article  Google Scholar 

  • Zhang S, Zhuang Y, Tao R, Liu L, Zhang L, Du J (2020) Multi-objective optimization for the deployment of carbon capture utilization and storage supply chain considering economic and environmental performance. J Clean Prod 270:122481

    Article  Google Scholar 

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  1. Department of Industrial Engineering, Faculty of Engineering, Tarsus University, 33400, Tarsus, Mersin, Turkey

    Onur Derse

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Derse, O. CO2 capture, utilization, and storage (CCUS) storage site selection using DEMATEL-based Grey Relational Analysis and evaluation of carbon emissions with the ARIMA method. Environ Sci Pollut Res 30, 14353–14364 (2023). https://doi.org/10.1007/s11356-022-23108-3

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