1. A mixed integer nonlinear programming (MINLP) supply chain optimisation framework for carbon negative electricity generation using biomass to energy with CCS (BECCS) in the UK.
- Author
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Akgul, O., Mac Dowell, N., Papageorgiou, L. G., and Shah, N.
- Subjects
MIXED integer linear programming ,SUPPLY chains ,BIOMASS energy ,FOSSIL fuels ,CARBON sequestration ,ELECTRIC power production - Abstract
The co-firing of biomass and fossil fuels in conjunction with CO
2 capture and storage (CCS) has the potential to lead to the generation of relatively inexpensive carbon negative electricity. In this work, we use a mixed integer nonlinear programming (MINLP) model of carbon negative energy generation in the UK to examine the potential for existing power generation assets to act as a carbon sink as opposed to a carbon source. Via a Pareto front analysis, we examine the technical and economic compromises implicit in transitioning from a dedicated fossil fuel only to a carbon negative electricity generation network. A price of approximately £30-50/t CO2 appears sufficient to incentivise a reduction of carbon intensity of electricity from a base case of 800 kg/MWh to less than 100 kg/MWh. However, the price required to incentivise the generation of carbon negative electricity is in the region of £120-175/t of CO2 . In order for biomass to energy with CCS (BECCS) to be commercially attractive, the power plants in question must operate at a high load factor and high rates of CO2 capture. The relative fuel cost is a key determinant of required carbon price. Increasing biomass availability also reduces the cost of generating carbon negative electricity; however one must be cognisant of land use change implications. [ABSTRACT FROM AUTHOR]- Published
- 2014
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