Fuzzy optimization of carbon management networks based on direct and indirect biomass co-firing. (October 2020)

• Record Type: Journal Article
• Authors: Aviso, K.B.; Sy, C.L.; Tan, R.R.; Ubando, A.T.
• Is Part Of: Renewable & sustainable energy reviews. Volume 132(2020)
• Publication Date: 2020-10
• Subjects: Biomass Co-Firing -- Biochar -- Negative emissions technology (NET) -- Carbon management network (CMN) -- Fuzzy optimization; AI Artificial Intelligence -- CCS Carbon Capture and Storage -- CFB Circulating Fluidized Bed -- CFD Computational Fluid Dynamics -- CMN Carbon Management Network -- EFB Empty Fruit Bunch -- GHG Greenhouse Gas -- GIS Geographic Information Systems -- IGCC Integrated Gasification Combined Cycle -- LCA Life Cycle Assessment -- LCOE Levelized Cost of Electricity -- MILP Mixed Integer Linear Program -- MP Mathematical Programming -- MSW Municipal Solid Waste -- NET Negative Emissions Technology -- NGCC Natural Gas Combined Cycle -- PA Pinch Analysis -- PC Pulverized Coal -- PI Process Integration -- PKS Palm Kernel Shell -- ROI Return on Investment; Renewable energy sources -- Periodicals; Power resources -- Periodicals; Énergies renouvelables -- Périodiques; Ressources énergétiques -- Périodiques; 333.794
• DOI: 10.1016/j.rser.2020.110035
• Languages: English
• ISSNs: 1364-0321

Abstract

Abstract: A drastic reduction in greenhouse gas emissions from electricity generation will be needed to mitigate climate change to a safe level. Residual biomass from agriculture is an underutilized energy source that can contribute to the needed emissions cut, but its geographic dispersion presents logistical problems. Direct and indirect co-firing of biomass in existing power plants presents a flexible means of utilizing this resource. Indirect co-firing of biomass with biochar co-production can even give greater reduction in greenhouse gas emissions if the biochar is applied to soil as a form of carbon sequestration. In this paper, a fuzzy linear programming model is developed for optimizing a carbon management network based on direct and indirect biomass co-firing, coupled with biochar application to soil for the latter case. The model can match biomass sources to power plants; the power plants that use indirect co-firing are also matched to biochar application sites. The model is illustrated using a case study representative of a developing country with an agriculture-intensive economy. Results show that not all powerplants need to implement co-firing to reach a balance between reducing GHG emissions and the risk of introducing contaminants in soil. The model provides effective decision support for decarbonizing power generation, particularly in developing countries that still make use of coal-fired power plants and which have abundant biomass resources in the form of agricultural waste. Highlights: Residual biomass is an underutilized energy source for electricity generation. Indirect biomass co-firing with biochar output gives partial carbon sequestration. A model is developed to optimize indirect biomass co-firing with biochar output. A case study based on a region in the Philippines illustrates this concept. Optimal co-firing of residual biomass can reduce emissions from power plants.