An optimization model for carbon capture & storage/utilization vs. carbon trading: A case study of fossil-fired power plants in Turkey.
We consider fossil-fired power plants that operate in an environment where a cap and trade system is in operation. These plants need to choose between carbon capture and storage (CCS), carbon capture and utilization (CCU), or carbon trading in order to obey emissions limits enforced by the governmen...
| Publicado en: | Journal of Environmental Management Vol. 215; pp. 305 - 316 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Academic Press Inc.
Jun2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=128826252&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 128826252 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 03014797 EMJ jtl: Journal of Environmental Management issn: 03014797 maglogo: N pubinfo: dt: Jun2018 vid: 215 pid: 735 pub: Academic Press Inc. artinfo: ui: 128826252 10.1016/j.jenvman.2018.03.054 ppf: 305 ppct: 11 formats: tig: atl: An optimization model for carbon capture & storage/utilization vs. carbon trading: A case study of fossil-fired power plants in Turkey. aug: au: Ağralı, Semra Üçtuğ, Fehmi Görkem Türkmen, Burçin Atılgan affil: MEF University, Faculty of Engineering, 34396, Maslak, İstanbul, Turkey İzmir University of Economics, Faculty of Engineering, Sakarya Caddesi No: 156, 35330, Balcova, İzmir, Turkey Bilecik Şeyh Edebali University, Department of Chemical Engineering, 11230, Gulumbe, Bilecik, Turkey su: Carbon sequestration Power plants Industrial pollution Integer programming Mathematical programming Carbon offsetting sug: subj: Power and Communication Line and Related Structures Construction Carbon sequestration Power plants Industrial pollution Integer programming Mathematical programming Carbon offsetting keyword: Carbon capture and storage Carbon capture and utilization Coal-fired power plant Mixed integer programming Optimization Turkey Carbon capture and storage Carbon capture and utilization Coal-fired power plant Mixed integer programming Optimization Turkey ab: We consider fossil-fired power plants that operate in an environment where a cap and trade system is in operation. These plants need to choose between carbon capture and storage (CCS), carbon capture and utilization (CCU), or carbon trading in order to obey emissions limits enforced by the government. We develop a mixed-integer programming model that decides on the capacities of carbon capture units, if it is optimal to install them, the transportation network that needs to be built for transporting the carbon captured, and the locations of storage sites, if they are decided to be built. Main restrictions on the system are the minimum and maximum capacities of the different parts of the pipeline network, the amount of carbon that can be sold to companies for utilization, and the capacities on the storage sites. Under these restrictions, the model aims to minimize the net present value of the sum of the costs associated with installation and operation of the carbon capture unit and the transportation of carbon, the storage cost in case of CCS, the cost (or revenue) that results from the emissions trading system, and finally the negative revenue of selling the carbon to other entities for utilization. We implement the model on General Algebraic Modeling System (GAMS) by using data associated with two coal-fired power plants located in different regions of Turkey. We choose enhanced oil recovery (EOR) as the process in which carbon would be utilized. The results show that CCU is preferable to CCS as long as there is sufficient demand in the EOR market. The distance between the location of emission and location of utilization/storage, and the capacity limits on the pipes are an important factor in deciding between carbon capture and carbon trading. At carbon prices over $15/ton, carbon capture becomes preferable to carbon trading. These results show that as far as Turkey is concerned, CCU should be prioritized as a means of reducing nation-wide carbon emissions in an environmentally and economically rewarding manner. The model developed in this study is generic, and it can be applied to any industry at any location, as long as the required inputs are available. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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