An integrated mathematical optimisation approach to synthesise and analyse a bioelectricity supply chain network

Ling, Wen; Verasingham, Arati Banu; Andiappan, Viknesh; Wan, Yoke Kin; Chew, Irene Mei Leng; Ng, Denny K. S.

doi:10.1016/j.energy.2019.04.141

Cited by 24 publications

(20 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…( 41) will occur. Equation (43) shows the disjunction for the centralized processing facilities. It indicates the capacity limits for receiving biomass, production of intermediates and its by-products, production of final products, and power generation.…”

Section: Type Of Centralized Conversion Facilitiesmentioning

confidence: 99%

Modeling and Analysis of Organic Waste Management Systems in Centralized and Decentralized Supply Chains Using Generalized Disjunctive Programming

Mohammadi

Martín-Hernández

Martı́n

et al. 2021

Ind. Eng. Chem. Res.

View full text Add to dashboard Cite

Although the decentralized and centralized strategies are widely known in today's supply chain realm, few studies have investigated their impacts on the bio-based waste management context. This study aims to formulate a multi-echelon structure for evaluating the influence of these supply chain strategies on optimal utilization of the biomass feedstocks. The proposed supply chain models, connecting the economic, social, and environmental aspects, tend to lower the total system costs, reduce the inadvertent effects of transportation and production processes, and respond to dynamic demands. The optimization problem is formulated as a mixed-integer linear programming model using generalized disjunctive programming to select the most robust integrated supply chain strategy. The results indicate that, although the centralized model leads to higher investment and operating costs than the decentralized model, centralization is still a more profitable alternative, as well as being capable of the production of a broader portfolio of bio-based products.

show abstract

Section: Type Of Centralized Conversion Facilitiesmentioning

confidence: 99%

Modeling and Analysis of Organic Waste Management Systems in Centralized and Decentralized Supply Chains Using Generalized Disjunctive Programming

Mohammadi

Martín-Hernández

Martı́n

et al. 2021

Ind. Eng. Chem. Res.

View full text Add to dashboard Cite

show abstract

“…However, one of the limitations to implement CHP system into current palm oil mill is the high capital cost of the CHP system. An economic evaluation has been done by Ling et al [15], who analysed the economic performance of CHP system using oil palm biomass as the feedstock supplied from several palm oil mill. The feasibility of implementing the CHP system in palm oil biomass to bioelectricity supply chain had been considered.…”

mentioning

confidence: 99%

“…The feasibility of implementing the CHP system in palm oil biomass to bioelectricity supply chain had been considered. However, the technical and environmental performance of CHP system had not been considered in the study by Ling et al [15]. In order to further analyse the feasibility of implementing CHP system by using oil palm biomass to bioelectricity supply chain, this study will expand the previous work by Ling et al [15], by considering the technical and environmental performance of CHP system.…”

mentioning

confidence: 99%

“…However, the technical and environmental performance of CHP system had not been considered in the study by Ling et al [15]. In order to further analyse the feasibility of implementing CHP system by using oil palm biomass to bioelectricity supply chain, this study will expand the previous work by Ling et al [15], by considering the technical and environmental performance of CHP system. A mathematical model which acts as a decision-making tool is necessary to be developed in order to analyse the feasibility of implementing CHP system in palm oil mill.…”

mentioning

confidence: 99%

“…The data for the case study such as sago mills, efficiency of dryer and efficiency of CHP configurations is adopted from data reported by Ling et. al [15]. To conduct the economic and environmental evaluations, the emission factor of transportation, the efficiency of dryer, b and various CHP systems, e are estimated from literature as summarized in…”

mentioning

confidence: 99%

See 2 more Smart Citations

Synthesize a Sustainable Supply Chain of Biomass to Electricity via Mathematical Approach

Hew

Yoon

Wan

2021

J. Phys.: Conf. Ser.

Self Cite

View full text Add to dashboard Cite

The huge amount of biomass waste and palm oil mill effluent (POME) generated during oil extraction has prompted the need for a more sustainable framework in waste management. Since oil palm biomass waste is rich in lignocellulosic content, it can be potential to be converted into green energy such as bioelectricity via different pathway of processes such as the thermal conversion pathway and biochemical conversion pathway. This study proposes a mathematical approach to synthesise a sustainable supply chain of biomass to electricity by implementing the combined heat and power (CHP) system in palm oil mill. The optimum pathway of supply chain based on the technical, economical, and environmental aspects is generated. The purpose of this approach is to assists the industry players or owners to make decision in choosing the location of the pre-treatment technology, transportation method, location of power plant and configuration of CHP. A generic superstructure is first developed to achieve the objective. Then, a series of generic mathematical equations will then be formulated based on the pathways demonstrated in the generic superstructure. The mathematical equations involve general mass and energy balance, cost computation and carbon emission. The fuzzy optimisation concept will be adopted in this research to trade-off the conflicting objectives (maximize profit and minimize carbon footprint) in order to generate the optimum pathway. A palm oil-based bioelectricity supply chain case study in Selangor, Malaysia is solved to illustrate the presented approach. According to the optimised result in this case study, a total of 3,753.36 MW of bioelectricity can be generated per year. The result proved that the optimum pathway is feasible by comparing with the existing oil palm biomass-based power plant in Sarawak, where only 375 MW of electricity is generated by oil palm biomass. On the other hand, RM 7.25 million per year of net profit is estimated with a payback period of 2.81 years. Moreover, the CHP system is able to achieve 570 million kg CO2 per year.

show abstract

Disjunctive fuzzy optimisation of electricity generation by biomass power producers in a feed‐in tariff programme

Nair

Andiappan

Foo

et al. 2022

Asia-Pacific J Chem Eng

Self Cite

View full text Add to dashboard Cite

The global drive to achieve the climate change mitigation targets set during the Paris Agreement and COP26 necessitates sustainable electricity generation from renewable energy sources. However, renewable energy systems face economic challenges due to unattractive feed-in-tariffs (FiT). This paper presents a mathematical programming model to optimise the participation and electricity generation by biomass power plants in a FiT programme. A disjunctive fuzzy optimisation approach is adopted in this work due to the presence of several biomass power plants, thus resulting in a multi-objective optimisation.The newly developed mixed-integer linear programming (MILP) model maximises the overall satisfaction extent of biomass power plants in power generation. The optimisation model ensures the satisfaction of all biomass power plants' technical and economic constraints. A base case study of seven power plants utilising various palm biomass is used to demonstrate the disjunctive fuzzy optimisation approach for the MILP model. This is followed by a scenario investigating the impact of demand variation. The optimisation of the case studies favours the utilisation of empty fruit bunch (EFB), palm oil mill effluent (POME), and palm mesocarp fibre (PMF) for sustainable electricity generation. Palm kernel shell (PKS) is the least preferred palm biomass due to its lowest net availability of useful energy from biomass combustion. This work provides a decision tool for the selection of biomass type during electricity generation. The MILP model in this work may be readily extended for any number of power plants, handling a variety of biomass feedstocks.

show abstract

An integrated mathematical optimisation approach to synthesise and analyse a bioelectricity supply chain network

Cited by 24 publications

References 31 publications

Modeling and Analysis of Organic Waste Management Systems in Centralized and Decentralized Supply Chains Using Generalized Disjunctive Programming

Modeling and Analysis of Organic Waste Management Systems in Centralized and Decentralized Supply Chains Using Generalized Disjunctive Programming

Synthesize a Sustainable Supply Chain of Biomass to Electricity via Mathematical Approach

Disjunctive fuzzy optimisation of electricity generation by biomass power producers in a feed‐in tariff programme

Contact Info

Product

Resources

About