Optimizing Biomass Synergy: Cost-Effective Reduction of Carbon Footprint in Coal-Fired Power Plants

Subject Areas :

Edwin Saputra ¹ , Rienna Oktarina ²

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Received: 2023-11-06 Accepted : 2023-12-14 Published : 2024-09-01

Keywords: linear programming, biomass, carbon footprint, blending optimization, OR tools,

Abstract :

Biomass is a renewable energy source that is easy to find in agricultural countries and can be quickly implemented by co-combusting CFPP in an effort to reduce GHG emissions. However, the integrated optimization of the blending process involving different coal ranks and biomass synergizing has yet to be achieved in order to meet the quality requirements of a number of CFPPs. This study offers an optimization approach for synergizing blending biomass in several coal-fired power plants (CFPPs). The objective is to reduce fuel costs and carbon dioxide emissions by taking into account CFPP's fuel quality requirements as well as constraints on CFPP demand, source supply capacity, and transportation alternatives. The optimization model used is mixed integer linear programming (MILP), which leverages OR-Tools in Google Colab to provide optimal solutions for the allocation of coal and biomass, whereas in the mathematical model, the amount of biomass that can be mixed into coal is limited in the range of 5% to 10%. Case studies conducted on 17 sources of coal, 1 biomass production facility, 3 alternative transportation capacities, and 4 CFPPs show that blending biomass with coal can reduce fuel costs by 2.77% and carbon dioxide emissions by 9.99% when compared to business as usual. This model offers a practical solution to reduce costs while simultaneously tackling climate change in accordance with the objectives outlined in the Paris Agreement

References:

Adebayo, T. S., Kirikkaleli, D., Adeshola, I., Oluwajana, D., Akinsola, G. D., & Osemeahon, O. S. (2021). Coal consumption and environmental sustainability in South Africa: The role of financial development and globalization. International Journal of Renewable Energy Development, 10(3), 527–536. https://doi.org/10.14710/ijred.2021.34982

Amini, S. H., Vass, C., Shahabi, M., & Noble, A. (2022). Optimization of coal blending operations under uncertainty–robust optimization approach. International Journal of Coal Preparation and Utilization, 42(1), 30–50. https://doi.org/10.1080/19392699.2019.1574262

Arifin, Z., Insani, V. F. S., Idris, M., Hadiyati, K. R., Anugia, Z., & Irianto, D. (2023). Techno-Economic Analysis of Co-firing for Pulverized Coal Boilers Power Plant in Indonesia. International Journal of Renewable Energy Development, 12(2), 261–269. https://doi.org/10.14710/ijred.2023.48102

Aviso, K. B., Sy, C. L., Tan, R. R., & Ubando, A. T. (2020). Fuzzy optimization of carbon management networks based on direct and indirect biomass co-firing. Renewable and Sustainable Energy Reviews, 132(July). https://doi.org/10.1016/j.rser.2020.110035

Baskoro, F. R., Takahashi, K., Morikawa, K., & Nagasawa, K. (2022). Multi-objective optimization on total cost and carbon dioxide emission of coal supply for coal-fired power plants in Indonesia. Socio-Economic Planning Sciences, 81(March 2021), 101185. https://doi.org/10.1016/j.seps.2021.101185

Cardoso, J. S., Silva, V., Chavando, J. A. M., Eusébio, D., & Hall, M. J. (2022). Numerical modelling of the coal phase-out through ammonia and biomass co-firing in a pilot-scale fluidized bed reactor. Fuel Communications, 10, 100055. https://doi.org/10.1016/j.jfueco.2022.100055

Chakraborty, S., & Mitra, A. (2019). A hybrid multi-criteria decision-making model for optimal coal blending. Journal of Modelling in Management, 14(2), 339–359. https://doi.org/10.1108/JM2-08-2018-0112

Cutz, L., Berndes, G., & Johnsson, F. (2019). A techno-economic assessment of biomass co-firing in Czech Republic, France, Germany and Poland. Biofuels, Bioproducts and Biorefining, 13(5), 1289–1305. https://doi.org/10.1002/bbb.2034

Dang, Q., Mba Wright, M., & Brown, R. C. (2015). Ultra-Low Carbon Emissions from Coal-Fired Power Plants through Bio-Oil Co-Firing and Biochar Sequestration. Environmental Science and Technology, 49(24), 14688–14695. https://doi.org/10.1021/acs.est.5b03548

Djeumou Fomeni, F. (2018). A multi-objective optimization approach for the blending problem in the tea industry. International Journal of Production Economics, 205, 179–192. https://doi.org/10.1016/j.ijpe.2018.08.036

Ekpeni, L. E. N., Benyounis, K. Y., Nkem-Ekpeni, F., Stokes, J., & Olabi, A. G. (2014). Energy diversity through Renewable Energy Source (RES) - A case study of biomass. Energy Procedia, 61, 1740–1747. https://doi.org/10.1016/j.egypro.2014.12.202

Furubayashi, T. (2022). The role of biomass energy in a 100% renewable energy system for Akita prefecture, Japan. Energy Storage and Saving, 1(3), 148–152. https://doi.org/10.1016/j.enss.2022.04.003

Gao, S., & Li, B. (2019). Coal blending optimization for power plants with particle swarm algorithm. IOP Conference Series: Materials Science and Engineering, 569(5). https://doi.org/10.1088/1757-899X/569/5/052059

Gil, M. V., & Rubiera, F. (2018). Coal and biomass cofiring. In New Trends in Coal Conversion: Combustion, Gasification, Emissions, and Coking. Elsevier. https://doi.org/10.1016/B978-0-08-102201-6.00005-4

Hilali, H., Hovelaque, V., & Giard, V. (2023). Integrated scheduling of a multi-site mining supply chain with blending, alternative routings and co-production. International Journal of Production Research, 61(6), 1829–1848. https://doi.org/10.1080/00207543.2022.2049909

Hodžić, N., & Kadić, K. (2023). Co-firing of brown coals and woody biomass and reburning with natural gas. International Journal of Renewable Energy Development, 12(3), 440–447. https://doi.org/10.14710/ijred.2023.50250

IEA. (2013). Biomass Co- fi ring (Issue January).

IPCC. (2006). 2006 IPCC Guidelines for National Greenhouse Gas Inventories. In IGES, Japan (Vol. 2). https://doi.org/10.1016/S0167-5060(08)70670-8

Kommalapati, R. R., Hossan, I., Botlaguduru, V. S. V., Du, H., & Huque, Z. (2018). Life cycle environmental impact of biomass co-firing with coal at a power plant in the greater Houston area. Sustainability (Switzerland), 10(7). https://doi.org/10.3390/su10072193

Križan, P., Matúš, M., Šooš, L., Kers, J., Peetsalu, P., Kask, Ü., & Menind, A. (2011). Briquetting of municipal solid waste by different technologies in order to evaluate its quality and properties. Agronomy Research, 9(SPPL. ISS. 1), 115–123.

Maulidia, M., Dargusch, P., Ashworth, P., & Ardiansyah, F. (2019). Rethinking renewable energy targets and electricity sector reform in Indonesia: A private sector perspective. Renewable and Sustainable Energy Reviews, 101(October 2018), 231–247. https://doi.org/10.1016/j.rser.2018.11.005

Mehmood, S., Reddy, B. V., & Rosen, M. A. (2012). Energy analysis of a biomass co-firing based pulverized coal power generation system. Sustainability, 4(4), 462–490. https://doi.org/10.3390/su4040462

Murele, O. C., Zulkafli, N. I., Kopanos, G., Hart, P., & Hanak, D. P. (2020). Integrating biomass into energy supply chain networks. Journal of Cleaner Production, 248. https://doi.org/10.1016/j.jclepro.2019.119246

Nawaz, Z., & Ali, U. (2020). Techno-economic evaluation of different operating scenarios for indigenous and imported coal blends and biomass co-firing on supercritical coal fired power plant performance. Energy, 212(x), 118721. https://doi.org/10.1016/j.energy.2020.118721

Peng, H., Yao, Y., Chen, F., & Zhou, R. (2023). Optimization and research of the nonlinear programming model of the full cost of pre-ironmaking under carbon emission reduction constraint. Energy Reports, 9, 2247–2252. https://doi.org/10.1016/j.egyr.2022.12.150

Roni, M. S., Chowdhury, S., Mamun, S., Marufuzzaman, M., Lein, W., & Johnson, S. (2017). Biomass co-firing technology with policies, challenges, and opportunities: A global review. Renewable and Sustainable Energy Reviews, 78(January), 1089–1101. https://doi.org/10.1016/j.rser.2017.05.023

Saleem, M. (2022). Possibility of utilizing agriculture biomass as a renewable and sustainable future energy source. Heliyon, 8(2). https://doi.org/10.1016/j.heliyon.2022.e08905

San Juan, J. L. G., Aviso, K. B., Tan, R. R., & Sy, C. L. (2019). A multi-objective optimization model for the design of biomass co-firing networks integrating feedstock quality considerations. Energies, 12(11). https://doi.org/10.3390/en12122252

San Juan, J. L. G., Sy, C. L., & Tan, R. R. (2018). A multi-objective optimization model for the design of a biomass Co-firing supply network. Chemical Engineering Transactions, 70, 223–228. https://doi.org/10.3303/CET1870038

Sloss, L. (2014). Blending of coals to meet power station requirements. IEA Clean Coal Centre, July, 68. https://doi.org/10.13140/RG.2.2.33471.46242

Smith, J. S., Safferman, S. I., & Saffron, C. M. (2019). Development and application of a decision support tool for biomass co-firing in existing coal-fired power plants. Journal of Cleaner Production, 236, 117375. https://doi.org/10.1016/j.jclepro.2019.06.206

Tchapda, A. H., & Pisupati, S. V. (2014). A review of thermal co-conversion of coal and biomass/waste. Energies, 7(3), 1098–1148. https://doi.org/10.3390/en7031098

Wander, P. R., Bianchi, F. M., Caetano, N. R., Klunk, M. A., & Indrusiak, M. L. S. (2020). Cofiring low-rank coal and biomass in a bubbling fluidized bed with varying excess air ratio and fluidization velocity. Energy, 203. https://doi.org/10.1016/j.energy.2020.117882

Xu, J., Dai, J., Xie, H., & Lv, C. (2017). Coal utilization eco-paradigm towards an integrated energy system. Energy Policy, 109(June), 370–381. https://doi.org/10.1016/j.enpol.2017.06.029

Xu, J., Huang, Q., Lv, C., Feng, Q., & Wang, F. (2018). Carbon emissions reductions oriented dynamic equilibrium strategy using biomass-coal co-firing. Energy Policy, 123(July), 184–197. https://doi.org/10.1016/j.enpol.2018.08.043

Xu, S., & Ge, J. (2020). Sustainable shifting from coal to gas in North China: An analysis of resident satisfaction. Energy Policy, 138(November 2019), 111296. https://doi.org/10.1016/j.enpol.2020.111296

Xu, Y., Yang, K., Zhou, J., & Zhao, G. (2020). Coal-biomass co-firing power generation technology: Current status, challenges and policy implications. Sustainability (Switzerland), 12(9). https://doi.org/10.3390/su12093692

Yin, C., Luo, Z., Zhou, J., & Cen, K. (2000). A NOVEL NON-LINEAR PROGRAMMING-BASED COAL BLENDING TECHNOLOGY FOR POWER PLANTS. Trans IChemE, 78(January).

Yorukoglu, M. (2017). Coal blending for power stations. Madencilik, 56(3), 109–116.

Yu, S., Zheng, S., Zhang, X., Gong, C., & Cheng, J. (2018). Realizing China’s goals on energy saving and pollution reduction: Industrial structure multi-objective optimization approach. Energy Policy, 122(July), 300–312. https://doi.org/10.1016/j.enpol.2018.07.034

Yuan, Y., Qu, Q., Chen, L., & Wu, M. (2020). Modeling and optimization of coal blending and coking costs using coal petrography. Information Sciences, 522(388), 49–68. https://doi.org/10.1016/j.ins.2020.02.072

Yudiartono, Y., Windarta, J., & Adiarso, A. (2023). Sustainable Long-Term Energy Supply and Demand: The Gradual Transition to a New and Renewable Energy System in Indonesia by 2050. International Journal of Renewable Energy Development, 12(2), 419–429. https://doi.org/10.14710/ijred.2023.50361

Zhang, X., Zeng, R., Mu, K., Liu, X., Sun, X., & Li, H. (2019). Exergetic and exergoeconomic evaluation of co-firing biomass gas with natural gas in CCHP system integrated with ground source heat pump. Energy Conversion and Management, 180(October 2018), 622–640. https://doi.org/10.1016/j.enconman.2018.11.009

Zhao, F., Li, Y., Zhou, X., Wang, D., Wei, Y., & Li, F. (2023). Co-optimization of decarbonized operation of coal-fired power plants and seasonal storage based on green ammonia co-firing. Applied Energy, 341. https://doi.org/10.1016/j.apenergy.2023.121140

Zhao, Y., Wang, G., Hu, Q., & Zhou, Y. (2019). Coal blending optimization model for reducing pollutant emission costs based on Support Vector Machine. IOP Conference Series: Earth and Environmental Science, 300(3). https://doi.org/10.1088/1755-1315/300/3/032086