Optimal biorefinery product allocation by combining process and economic modeling

A Review of Process Systems Engineering (PSE) Tools for the Design of Ionic Liquids and Integrated Biorefineries

In this review paper, a brief overview of the increasing applicability of Process Systems Engineering (PSE) tools in two research areas, which are the design of ionic liquids and the design of integrated biorefineries, is presented. The development and advances of novel computational tools and optimization approaches in recent years have enabled these applications with practical results. A general introduction to ionic liquids and their various applications is presented followed by the major challenges in the design of optimal ionic liquids. Significant improvements in computational efficiency have made it possible to provide more reliable data for optimal system design, minimize the production cost of ionic liquids, and reduce the environmental impact caused by such solvents. Hence, the development of novel computational tools and optimization tools that contribute to the design of ionic liquids have been reviewed in detail. A detailed review of the recent developments in PSE applications in the field of integrated biorefineries is then presented. Various value-added products could be processed by the integrated biorefinery aided with applications of PSE tools with the aim of enhancing the sustainability performance in terms of economic, environmental, and social impacts. The application of molecular design tools in the design of integrated biorefineries is also highlighted. Major developments in the application of ionic liquids in integrated biorefineries have been emphasized. This paper is concluded by highlighting the major opportunities for further research in these two research areas and the areas for possible integration of these research fields.

Developing Process Designs for Biorefineries—Definitions, Categories, and Unit Operations

In this review, we focus on the literature that described the various unit operations in a process design flowsheet of biorefineries. We begin by establishing the accepted definitions of a biorefinery, go on to describe how to categorize biorefineries, and finally review the literature on biorefinery process designs by listing the unit operation in each process design. Distinguishing biorefineries based on feedstock, the types of processing units, and the products emanating from the biorefinery are discussed.

A lignocellulosic ethanol strategy via nonenzymatic sugar production: process synthesis and analysis

The work develops a strategy for the production of ethanol from lignocellulosic biomass. In this strategy, the cellulose and hemicellulose fractions are simultaneously converted to sugars using a γ-valerolactone (GVL) solvent containing a dilute acid catalyst. To effectively recover GVL for reuse as solvent and biomass-derived lignin for heat and power generation, separation subsystems, including a novel CO2-based extraction for the separation of sugars from GVL, lignin and humins have been designed. The sugars are co-fermented by yeast to produce ethanol. Furthermore, heat integration to reduce utility requirements is performed. It is shown that this strategy leads to high ethanol yields and the total energy requirements could be satisfied by burning the lignin. The integrated strategy using corn stover feedstock leads to a minimum selling price of $5 per gallon of gasoline equivalent, which suggests that it is a promising alternative to current biofuels production approaches.

Optimal planning for the sustainable utilization of municipal solid waste

The increasing generation of municipal solid waste (MSW) is a major problem particularly for large urban areas with insufficient landfill capacities and inefficient waste management systems. Several options associated to the supply chain for implementing a MSW management system are available, however to determine the optimal solution several technical, economic, environmental and social aspects must be considered. Therefore, this paper proposes a mathematical programming model for the optimal planning of the supply chain associated to the MSW management system to maximize the economic benefit while accounting for technical and environmental issues. The optimization model simultaneously selects the processing technologies and their location, the distribution of wastes from cities as well as the distribution of products to markets. The problem was formulated as a multi-objective mixed-integer linear programing problem to maximize the profit of the supply chain and the amount of recycled wastes, where the results are showed through Pareto curves that tradeoff economic and environmental aspects. The proposed approach is applied to a case study for the west-central part of Mexico to consider the integration of MSW from several cities to yield useful products. The results show that an integrated utilization of MSW can provide economic, environmental and social benefits.

Waste reduction algorithm used as the case study of simulated bitumen production process

Waste reduction algorithm - WAR is a tool helping process engineers for environmental impact assessment. WAR algorithm is a methodology for determining the potential environmental impact (PEI) of a chemical process. In particular, the bitumen production process was analyzed following three stages: a) atmospheric distillation unit, b) vacuum distillation unit, and c) bitumen production unit. Study was developed for the middle sized oil refinery with capacity of 5000000 tones of crude oil per year. Results highlight the most vulnerable aspects of the environmental pollution that arise during the manufacturing process of bitumen. The overall rates of PEI leaving the system (PEI/h) - Iout PEI/h are: a) 2.14105, b) 7.17104 and c) 2.36103, respectively. The overall rates of PEI generated within the system - Igen PEI/h are: a) 7.75104, b) -4.31104 and c) -4.32102, respectively. Atmospheric distillation unit have the highest overall rate of PEI while the bitumen production unit have the lowest overall rate of PEI. Comparison of Iout PEI/h and Igen PEI/h values for the atmospheric distillation unit, shows that the overall rate of PEI generated in the system is 36.21% of the overall rate of PEI leaving the system. In the cases of vacuum distillation and bitumen production units, the overall rate of PEI generated in system have negative values, i.e. the overall rate of PEI leaving the system is reduced at 60.11% (in the vacuum distillation unit) and at 18.30% (in the bitumen production unit). Analysis of the obtained results for the overall rate of PEI, expressed by weight of the product, confirms conclusions.