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Author: 陳曉薇
Hsiao-Wei Chen
Thesis Title: 運用價值鏈分析於藻類生質能源與生物科技創新整合碳捕捉技術之研究
Value chain analysis of algal bioenergy and carbon capture integrated with a biotechnology innovation
Advisor: 歐陽超
Chao Ou-Yang
Committee: 陳正綱
Cheng-Kang Chen
Pin Luarn
Yuan-Jye Tseng
Kuo-Feng Hua
Degree: 博士
Department: 管理學院 - 管理研究所
Graduate Institute of Management
Thesis Publication Year: 2018
Graduation Academic Year: 106
Language: 中文
Pages: 88
Keywords (in Chinese): 生質能源煙氣藻類光合反應器抗癌副產物綠色創新
Keywords (in other languages): Bioenergy, Flue gas, Algal photobioreactor, Cancer-fighting bioproduct, Green innovation
Reference times: Clicks: 295Downloads: 3
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  • 為減少火力發電廠的二氧化碳排放量,許多電力公司一直在積極進行關於減少溫室氣體排放相關研究。微藻,能夠利用火力發電所排放的二氧化碳快速生長,成為近來減碳技術的新方向和選項。然而,該項技術如何商業化應用一直以來是個挑戰,儘管政府提供補貼和碳價格的保障,燃煤電廠仍不能支付二氧化碳捕捉相關費用,簡單而言,若僅僅使用藻類捕捉二氧化碳很難達永續的目的。本研究以綠色創新的思維投入藻藍蛋白酶解技術的開發,證實經酶解之藻藍蛋白具有抗口腔和肺癌的潛力,若類比市售抗癌藥物價格將具高經濟價值;除此項利用之外,經光合反應器養殖出的藻體經熱值分析具有相當高的熱值,可以作為生質燃料的應用。這項研究開發出的酶解技術可生產藻藍蛋白酶解產物具有抗口腔和肺癌的潛力,將其類比市售抗癌藥物的價格,透過生物法二氧化碳的捕獲創新技術價值鏈(Bio-based CO2 capture Innovation Technology Value Chain)的模型和蒙地卡羅模擬分析,可以看出創新技術的開發的確會增加再生能源及減碳技術的應用及創造獲利,確認了以藻類作為碳捕捉並生產再生能源技術的可行性,增加投資這些技術的意願。

    Many power companies have been actively engaging in the research on reducing greenhouse gas emissions so as to reduce CO2 emissions caused by coal-fired power plants. Microalgae, with their capability of using CO2 emitted from coal-fired power generation for rapid growth of themselves, have become a new approach and option of low-carbon technology in recent years. However, it has always been challenging to commercialize this technology, despite the government’s efforts in providing subsidy and protection for carbon tax price, coal-fired power plants are still unable to afford the cost of CO2 capture. In short, it is difficult to achieve sustainability only by the way of using microalgae in CO2 capture. This study adopts green and creative thinking in the development of enzymatic hydrolysis technology and proves that the enzymatic hydrolysis C-phycocyanin has anti-oral-cancer and anti-lung-cancer potentials, as well as economic value when compared with other anti-cancer drugs on the market. Furthermore, the heating value analysis of algae masses cultured in a photobioreactor shows that such algae have relatively high heat value, which means that they can be used as a kind of biofuel. The enzymatic hydrolysis technology put forth in this study could be used to produce enzymatic hydrolysis C-phycocyanin with anti-oral-cancer and anti-lung-cancer potentials. Compared with the prices of other anti-cancer drugs, using bio-based CO2 capture innovation technology value chain model and Monte Carlo simulation, the result shows that it is profitable and productive to apply this technology in the application of renewable energy and low-carbon technology. Suffice to say that it is possible to make use of algae in the practices of carbon capture and renewable energy production, thus it increases the investors’ intention to invest in these technologies.

    摘要 I Abstract II 誌謝 IV 圖目錄 VIII 表目錄 IX 第1章 緒論 1 1.1研究動機和目的 1 1.2論文架構 4 第2章 文獻回顧 6 2.1前言 6 2.2價值鏈分析 6 2.2.1價值鏈分析方法 7 2.2.2於資源分配決策的應用 8 2.2.3碳捕捉的價值鏈分析 9 2.3碳捕獲及其資源化應用 11 2.3.1生物法碳捕獲 11 2.3.2資源化應用 14 2.4影響生物法二氧化碳捕獲流程的因素 17 2.4.1財務面向 17 2.4.2能源替代面向 18 2.4.3碳稅影響 18 2.4.4政府補貼 19 2.4.5環境影響 20 第3章 研究方法 21 3.1前言 21 3.2生物法二氧化碳捕獲系統價值鏈 21 3.2.1製造鏈結 22 3.2.2能源鏈結 27 3.2.3碳稅鏈結 28 3.2.4政府補貼鏈結 28 3.2.5環境鏈結 28 3.3蒙地卡羅方法 29 3.3.1模擬參數設定 32 3.3.2模擬情境設定 38 第4章 結果與討論 40 4.1前言 40 4.2 EHCPC之抗腫瘤功效 40 4.3生物法二氧化碳捕獲系統價值鏈分析 45 4.3.1情境1分析結果 46 4.3.2情境2分析結果 48 4.3.3情境3分析結果 50 4.3.4情境4分析結果 52 4.3.5情境5分析結果 54 4.3.6情境6分析結果 56 4.3.7情境7分析結果 58 第5章 結論與未來展望 61 參考文獻 63 附錄 74

    1. Hasan, M.M.F., et al., A multi-scale framework for CO2 capture, utilization, and sequestration: CCUS and CCU. Computers & Chemical Engineering, 2015. 81: p. 2-21.
    2. Ma, L.-C., et al., Integration of membrane technology into hydrogen production plants with CO2 capture: An economic performance assessment study. International Journal of Greenhouse Gas Control, 2015. 42: p. 424-438.
    3. Gartner, W.B., The Academy of Management Review, 1985. 10(4): p. 873-875.
    4. Narula, S.A. and S. Bhattacharyya, Off-grid electricity interventions for cleaner livelihoods: A Case study of value chain development in Dhenkanal district of Odisha. Journal of Cleaner Production, 2017. 142: p. 191-202.
    5. Olson, E.L., Green Innovation Value Chain analysis of PV solar power. Journal of Cleaner Production, 2014. 64: p. 73-80.
    6. Chen, H.-W., et al., Application of power plant flue gas in a photobioreactor to grow Spirulina algae, and a bioactivity analysis of the algal water-soluble polysaccharides. Bioresource Technology, 2012. 120(0): p. 256-263.
    7. Chen, H.-W., et al., Purification and immunomodulating activity of C-phycocyanin from Spirulina platensis cultured using power plant flue gas. Process Biochemistry, 2014. 49(8): p. 1337-1344.
    8. Herrero, M. and E. Ibáñez, Green processes and sustainability: An overview on the extraction of high added-value products from seaweeds and microalgae. The Journal of Supercritical Fluids, 2015. 96(0): p. 211-216.
    9. International Organization for, S., Environmental Management: Life Cycle Assessment: Principles and Framework. Vol. 14040. 1997: ISO.
    10. Petersen, A.M., et al., Comparison of second-generation processes for the conversion of sugarcane bagasse to liquid biofuels in terms of energy efficiency, pinch point analysis and Life Cycle Analysis. Energy Conversion and Management, 2015. 91: p. 292-301.
    11. Nichols, C. and N. Victor, Examining the relationship between shale gas production and carbon capture and storage under CO2 taxes based on the social cost of carbon. Energy Strategy Reviews, 2015. 7: p. 39-54.
    12. Su, Y., P. Zhang, and Y. Su, An overview of biofuels policies and industrialization in the major biofuel producing countries. Renewable and Sustainable Energy Reviews, 2015. 50: p. 991-1003.
    13. Stabell, C.B. and Ø.D. Fjeldstad, Configuring value for competitive advantage: on chains, shops, and networks. Strategic Management Journal, 1998. 19(5): p. 413-437.
    14. Barnes, S.J., The mobile commerce value chain: analysis and future developments. International Journal of Information Management, 2002. 22(2): p. 91-108.
    15. Kaplinsky, R., Spreading the gains from globalization: what can be learned from value-chain analysis? Problems of economic transition, 2004. 47(2): p. 74-115.
    16. Gereffi, G. and K. Fernandez-Stark, Global value chain analysis: a primer. 2016.
    17. Wang, L., Value chain analysis of bio-coal business in Finland: Perspectives from multiple value chain members. Biomass and Bioenergy, 2015. 78(0): p. 140-155.
    18. Bussemaker, M.J., et al., A Value Chain Optimisation Model for a Biorefinery with Feedstock and Product Choices, in Computer Aided Chemical Engineering, J.K.H.a.R.G. Krist V. Gernaey, Editor. 2015, Elsevier. p. 1883-1888.
    19. Irvine, R.M., A conceptual study of value chain analysis as a tool for assessing a veterinary surveillance system for poultry in Great Britain. Agricultural Systems, 2015. 135(0): p. 143-158.
    20. Ramírez, T., et al., Water and carbon footprint improvement for dried tomato value chain. Journal of Cleaner Production, 2015. 104(0): p. 98-108.
    21. Shabani, N., S. Akhtari, and T. Sowlati, Value chain optimization of forest biomass for bioenergy production: A review. Renewable and Sustainable Energy Reviews, 2013. 23(0): p. 299-311.
    22. Bi, K., P. Huang, and X. Wang, Innovation performance and influencing factors of low-carbon technological innovation under the global value chain: A case of Chinese manufacturing industry. Technological Forecasting and Social Change, 2016. 111: p. 275-284.
    23. Peters, M., et al., Chemical technologies for exploiting and recycling carbon dioxide into the value chain. ChemSusChem, 2011. 4(9): p. 1216-1240.
    24. Klokk, Ø., et al., Optimizing a CO2 value chain for the Norwegian Continental Shelf. Energy Policy, 2010. 38(11): p. 6604-6614.
    25. Breyer, C., et al., Power-to-Gas as an Emerging Profitable Business Through Creating an Integrated Value Chain. Energy Procedia, 2015. 73: p. 182-189.
    26. Røkke, P.E., et al., ECCO–European value chain for CO2. Energy Procedia, 2009. 1(1): p. 3893-3899.
    27. Jakobsen, J.P., et al., A Tool for Integrated Multi-criteria Assessment of the CCS Value Chain. Energy Procedia, 2014. 63: p. 7290-7297.
    28. Samsatli, S., N.J. Samsatli, and N. Shah, BVCM: A comprehensive and flexible toolkit for whole system biomass value chain analysis and optimisation – Mathematical formulation. Applied Energy, 2015. 147: p. 131-160.
    29. Cuéllar-Franca, R.M. and A. Azapagic, Carbon capture, storage and utilisation technologies: A critical analysis and comparison of their life cycle environmental impacts. Journal of CO2 Utilization, 2015. 9: p. 82-102.
    30. Kemper, J., Biomass and carbon dioxide capture and storage: A review. International Journal of Greenhouse Gas Control, 2015. 40: p. 401-430.
    31. Cheah, W.Y., et al., Biorefineries of carbon dioxide: From carbon capture and storage (CCS) to bioenergies production. Bioresource Technology, 2016. 215: p. 346-356.
    32. Caspeta, L., N.A. Buijs, and J. Nielsen, The role of biofuels in the future energy supply. Energy & Environmental Science, 2013. 6(4): p. 1077-1082.
    33. Brennan, L. and P. Owende, Biofuels from microalgae—A review of technologies for production, processing, and extractions of biofuels and co-products. Renewable and Sustainable Energy Reviews, 2010. 14(2): p. 557-577.
    34. Naylor, R.L. and M.M. Higgins, The political economy of biodiesel in an era of low oil prices. Renewable and Sustainable Energy Reviews, 2017. 77(Supplement C): p. 695-705.
    35. Mondal, M.K., H.K. Balsora, and P. Varshney, Progress and trends in CO2 capture/separation technologies: A review. Energy, 2012. 46(1): p. 431-441.
    36. Suali, E. and R. Sarbatly, Conversion of microalgae to biofuel. Renewable & Sustainable Energy Reviews, 2012. 16(6): p. 4316-4342.
    37. Wang, M., et al., Process intensification for post-combustion CO2 capture with chemical absorption: A critical review. Applied Energy, 2015. 158: p. 275-291.
    38. García-Gusano, D., et al., Life Cycle Assessment of applying CO2 post-combustion capture to the Spanish cement production. Journal of Cleaner Production, 2015. 104: p. 328-338.
    39. Pérez-Fortes, M., et al., Methanol synthesis using captured CO 2 as raw material: techno-economic and environmental assessment. Applied Energy, 2016. 161: p. 718-732.
    40. Leibbrandt, N.H., J.H. Knoetze, and J.F. Görgens, Comparing biological and thermochemical processing of sugarcane bagasse: An energy balance perspective. Biomass and Bioenergy, 2011. 35(5): p. 2117-2126.
    41. Pettersson, K., et al., Integration of next-generation biofuel production in the Swedish forest industry – A geographically explicit approach. Applied Energy, 2015. 154: p. 317-332.
    42. Shafiei, E., et al., Comparative analysis of hydrogen, biofuels and electricity transitional pathways to sustainable transport in a renewable-based energy system. Energy, 2015. 83: p. 614-627.
    43. Mondal, M., et al., Production of biodiesel from microalgae through biological carbon capture: a review. 3 Biotech, 2017. 7(2): p. 99.
    44. Zhao, B. and Y. Su, Process effect of microalgal-carbon dioxide fixation and biomass production: A review. Renewable and Sustainable Energy Reviews, 2014. 31: p. 121-132.
    45. Cardoso, S.M., et al., Bioproducts from Seaweeds: A Review with Special Focus on the Iberian Peninsula. Current Organic Chemistry, 2014. 18(7): p. 896-917.
    46. Borowitzka, M., High-value products from microalgae—their development and commercialisation. Journal of Applied Phycology, 2013. 25(3): p. 743-756.
    47. Gong, J. and F. You, Value-added Chemicals from Microalgae: A Sustainable Process Design Using Life Cycle Optimization, in Computer Aided Chemical Engineering, J.K.H.a.R.G. Krist V. Gernaey, Editor. 2015, Elsevier. p. 1403-1408.
    48. Rosen, A.M., The wrong solution at the right time: The failure of the kyoto protocol on climate change. Politics & Policy, 2015. 43(1): p. 30-58.
    49. e Silva, E.F., et al., C-Phycocyanin: Cellular targets, mechanisms of action and multi drug resistance in cancer. Pharmacological Reports, 2017.
    50. Minic, S.L., et al., Digestion by pepsin releases biologically active chromopeptides from C-phycocyanin, a blue-colored biliprotein of microalga Spirulina. Journal of proteomics, 2016. 147: p. 132-139.
    51. Bahadar, A. and M. Bilal Khan, Progress in energy from microalgae: A review. Renewable and Sustainable Energy Reviews, 2013. 27(0): p. 128-148.
    52. Razzak, S.A., et al., Integrated CO2 capture, wastewater treatment and biofuel production by microalgae culturing—A review. Renewable and Sustainable Energy Reviews, 2013. 27: p. 622-653.
    53. Robertson, B.A. and P.J. Doran, Biofuels and Biodiversity: The Implications of Energy Sprawl, in Encyclopedia of Biodiversity (Second Edition), A.L. Editor-in-Chief: Simon, Editor. 2013, Academic Press: Waltham. p. 528-539.
    54. Speranza, L.G., A. Ingram, and G.A. Leeke, Assessment of algae biodiesel viability based on the area requirement in the European Union, United States and Brazil. Renewable Energy, 2015. 78: p. 406-417.
    55. Kosinkova, J., et al., Measuring the regional availability of biomass for biofuels and the potential for microalgae. Renewable and Sustainable Energy Reviews, 2015. 49: p. 1271-1285.
    56. Sticklen, M.B., H.F. Alameldin, and H.F. Oraby, Towards Cellulosic Biofuels Evolution: Using the Petro-Industry Model. Adv Crop Sci Tech, 2014. 2(131): p. 2.
    57. Delrue, F., et al., An economic, sustainability, and energetic model of biodiesel production from microalgae. Bioresource Technology, 2012. 111: p. 191-200.
    58. Ghasemi, Y., et al., Microalgae biofuel potentials (Review). Applied Biochemistry and Microbiology, 2012. 48(2): p. 126-144.
    59. Meier, L., et al., Photosynthetic CO2 uptake by microalgae: An attractive tool for biogas upgrading. Biomass and Bioenergy, 2015. 73: p. 102-109.
    60. Lee, O.K., et al., Sustainable production of liquid biofuels from renewable microalgae biomass. Journal of Industrial and Engineering Chemistry, 2015. 29: p. 24-31.
    61. Lipponen, J., et al., The Politics of Large-scale CCS Deployment. Energy Procedia, 2017. 114(Supplement C): p. 7581-7595.
    62. Stanger, R., et al., Oxyfuel combustion for CO2 capture in power plants. International Journal of Greenhouse Gas Control, 2015. 40: p. 55-125.
    63. van den Broek, M., N. Berghout, and E.S. Rubin, The potential of renewables versus natural gas with CO2 capture and storage for power generation under CO2 constraints. Renewable and Sustainable Energy Reviews, 2015. 49: p. 1296-1322.
    64. Luis Míguez, J., et al., Evolution of CO2 capture technology between 2007 and 2017 through the study of patent activity. Applied Energy, 2018. 211: p. 1282-1296.
    65. Venkata Mohan, S., et al., A Circular Bioeconomy with Biobased Products from CO2 Sequestration. Trends in Biotechnology, 2016. 34(6): p. 506-519.
    66. Pérez-Arévalo, J.J. and B. Velázquez-Martí, Evaluation of pruning residues of Ficus benjamina as a primary biofuel material. Biomass and Bioenergy, 2018. 108: p. 217-223.
    67. Chandel, A.K., et al., Biofuel Policy in Indian Perspective: Socioeconomic Indicators and Sustainable Rural Development, in Sustainable Biofuels Development in India. 2017, Springer. p. 459-488.
    68. Gerbelová, H., et al., Potential of CO2 (carbon dioxide) taxes as a policy measure towards low-carbon Portuguese electricity sector by 2050. Energy, 2014. 69: p. 113-119.
    69. Arlinghaus, J., Impacts of carbon prices on indicators of competitiveness. 2015.
    70. Dong, H., et al., Exploring impact of carbon tax on China’s CO2 reductions and provincial disparities. Renewable and Sustainable Energy Reviews, 2017. 77: p. 596-603.
    71. Gegg, P., L. Budd, and S. Ison, The market development of aviation biofuel: Drivers and constraints. Journal of Air Transport Management, 2014. 39: p. 34-40.
    72. Longstaff, H., et al., Fostering citizen deliberations on the social acceptability of renewable fuels policy: The case of advanced lignocellulosic biofuels in Canada. Biomass and Bioenergy, 2015. 74: p. 103-112.
    73. Mofijur, M., et al., Energy scenario and biofuel policies and targets in ASEAN countries. Renewable and Sustainable Energy Reviews, 2015. 46: p. 51-61.
    74. Zhang, H., et al., Subsidy modes, waste cooking oil and biofuel: Policy effectiveness and sustainable supply chains in China. Energy Policy, 2014. 65: p. 270-274.
    75. Dai, Z., et al., Uncertainty quantification for CO2 sequestration and enhanced oil recovery. Energy Procedia, 2014. 63: p. 7685-7693.
    76. Wang, J., et al., Application potential of solar-assisted post-combustion carbon capture and storage (CCS) in China: A life cycle approach. Journal of Cleaner Production, 2017. 154(Supplement C): p. 541-552.
    77. Kwan, T.H., et al., Techno-economic analysis of a food waste valorization process via microalgae cultivation and co-production of plasticizer, lactic acid and animal feed from algal biomass and food waste. Bioresource Technology, 2015. 198: p. 292-299.
    78. Moncada, J., C.A. Cardona, and L.E. Rincón, Design and analysis of a second and third generation biorefinery: The case of castorbean and microalgae. Bioresource Technology, 2015. 198: p. 836-843.
    79. Khoo, H.H., et al., Life cycle energy and CO2 analysis of microalgae-to-biodiesel: Preliminary results and comparisons. Bioresource Technology, 2011. 102(10): p. 5800-5807.
    80. Liao, P.-C., et al., Anti-inflammatory activity of neral and geranial isolated from fruits of Litsea cubeba Lour. Journal of Functional Foods, 2015. 19: p. 248-258.
    81. Nordhaus, W.D., Optimal Greenhouse-Gas Reductions and Tax Policy in the "DICE" Model. The American Economic Review, 1993. 83(2): p. 313-317.
    82. Ramseur, J.L. and L. Parker, Carbon tax and greenhouse gas control: Options and considerations for congress. 2009.
    83. Zehetmeier, M., et al., The impact of uncertainties on predicted greenhouse gas emissions of dairy cow production systems. Journal of Cleaner Production, 2014. 73: p. 116-124.
    84. Noe, R.R., et al., Assessing uncertainty in the profitability of prairie biomass production with ecosystem service compensation. Ecosystem Services, 2016. 21: p. 103-108.
    85. Pereira, E.J.d.S., et al., Methodology of risk analysis by Monte Carlo Method applied to power generation with renewable energy. Renewable Energy, 2014. 69: p. 347-355.
    86. Schmitz, M. and R. Madlener, Economic Feasibility of Kite-Based Wind Energy Powerships with CAES or Hydrogen Storage. 2012.
    87. Løvseth, S.W. and P.E. Wahl, ECCO Tool: Analysis of CCS value chains. Energy Procedia, 2012. 23(0): p. 323-332.
    88. Yi, Q., et al., Carbon cycle in advanced coal chemical engineering. Chemical Society Reviews, 2015. 44(15): p. 5409-5445.