Optimization of pre-treatment selection for the use of woody waste in co-combustion plants

Strategic Planning of Biomass Supply Chain Networks for Co-combustion Plants

“…The mathematical formulation of the SC design-planning problem is briefly described next. The reader is directed to Pérez-Fortes et al (2014) for further details. The variables and constraints of the model can be roughly classified into three groups.…”

“…These two works show (1) the versatility of the mathematical model developed to adapt to various biomass case studies, (2) the need to include biomass properties to take into account their changes along the whole SC, and (3) the increase in computational load that makes the second problem considerably time consuming (up to 13,971 central processing unit (CPU) seconds to reach a solution with an optimality gap of 2.5%). Therefore, the current work starts from the case study described in Pérez-Fortes et al (2014) and compares the proposed decomposition algorithm with the conventional monolithic approach. The problem statement and case study are briefly discussed since all detailed information can be found in our previous references.…”

“…This problem considers MO optimization along three criteria: economic, environmental, and social. The algorithm developed is the starting point of the work of Pérez-Fortes et al (2014): the MILP program is adapted to solve an SC problem in Spain that considers biomass waste to fulfill the biomass required to replace a portion of the power in the existing coal power plants. In this case, two objectives are optimized, net present value (NPV) and Impact 2002þ, as environmental metric.…”

Towards a Carbon-Neutral Energy Sector: Opportunities and Challenges of Coordinated Bioenergy Supply Chains-A PSE Approach

“…The developed MILP allows the selection of: (i) optimum flow rates, sites connectivity and capacity of units; and (ii) the best technology to be employed from a superstructure of technological options for biomass processing as shown in Figure 15. The algorithm developed in this work is the starting point of the work of Pérez-Fortes et al [157]. In this work, the MILP program is adapted to solve a SC problem in Spain that considers biomass waste to fulfil the biomass required to replace a portion of the power in the current coal power plants installed.…”

“…More recently, Laínez-Aguirre et al [162] propose a Lagrangian relaxation based approach, the Optimal Condition Decomposition (OCD), to tackle medium size models which require intensive computational power. The methodology is applied to solve the biomass SC case study located in Spain, previously studied in Pérez-Fortes et al [157].…”