Availability assessment of bioenergy and power plant location optimization: A case study for Pakistan

Biberacher, Markus; Tum, Markus; Günther, Kurt P.; Gadocha, Sabine; Zeil, Peter; Jilani, Rehmatullah; Mansha, Muhammad

doi:10.1016/j.rser.2014.10.036

Cited by 9 publications

(2 citation statements)

References 31 publications

(35 reference statements)

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“…Moreover, because of the deficiency in technologies and facilities for processing and using straw, the amount of straw discarded in fields and openly burned has been gradually rising each year, resulting in a tremendous waste of resources and a serious problem for air quality and health [1,2]. With the development and maturation of straw-based electricity generation technology, the use of agricultural straw to generate electricity has become one of the main directions of combination with the grain-to-straw ratio coefficient [9,16,19,21,26,32]. However, land-use data-based models do not consider the differences in production capability between different lands.…”

Section: Introductionmentioning

confidence: 99%

A Spatially Explicit Optimization Model for Agricultural Straw-Based Power Plant Site Selection: A Case Study in Hubei Province, China

Xiang

Wang

et al. 2017

Sustainability

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Using agricultural straw to generate electricity is an effective approach for relieving the pressure of procuring a reliable energy supply and reducing environmental pollution. Because the locations of the power plants have a significant impact on the supply of raw materials and the cost of transportation, it is important to choose reasonable locations for power plants. To solve the problem of straw-based power plant site selection (SPPSS), in this paper, a spatially explicit optimization model is proposed. Compared to the existing research, the present study makes the following major contributions: (1) The agricultural land quality evaluation dataset, combined with the cropping system and theoretical yield information, is used as the basic data to estimate agricultural straw yields, thereby increasing the accuracy of the straw yield and spatial distribution estimates. (2) Geographic information system (GIS) techniques are employed to improve an artificial immune system (AIS), which is an effective and flexible approach for solving optimization problems. The Chinese province of Hubei is selected as the experimental area to evaluate the effectiveness of the proposed model. The experimental results demonstrate that of the 34.89 million tons of agricultural straw produced in Hubei Province each year, 17.45 million tons can be used for electricity generation. The optimization schemes generated by the proposed model are feasible. Our results are expected to provide an important decision-making basis for straw-based power plant (SPP) development planning in Hubei Province.

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Section: Introductionmentioning

confidence: 99%

A Spatially Explicit Optimization Model for Agricultural Straw-Based Power Plant Site Selection: A Case Study in Hubei Province, China

Xiang

Wang

et al. 2017

Sustainability

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“…These natural resources, however, are limited and will be depleted in the future. Biomass as a renewable energy source can be an alternative to fossil fuels [1][2][3][4][5]. Biomass resources are abundant and can be derived from many sectors such as agricultural residues, food waste, and industrial by-products [6].…”

Section: Introductionmentioning

confidence: 99%

Three-dimensional full-loop simulation of a dual fluidized-bed biomass gasifier

et al. 2015

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h i g h l i g h t sCFD simulation of biomass gasification in a dual fluidized-bed. The CFD model predicts the gas composition and the reactor temperature distribution. The CFD model has been validated by experimental data. The effects of the particle size distribution and drag models have been investigated. a r t i c l e i n f o t r a c tA three-dimensional CFD model was developed to simulate the full-loop of a dual fluidized-bed biomass gasification system consisting of a gasifier, a combustor, a cyclone separator, and a loop-seal. This fullloop simulation includes the chemical kinetic modeling of biomass drying and pyrolysis, heterogeneous char reactions, and homogeneous gas-phase reactions. In the model, the gas phase is described using Large Eddy Simulation (LES) and the particle phase is described with the Multiphase Particle-In-Cell (MP-PIC) method. The simulation was performed using the GPU-accelerated computing and the simulation results were compared with the gas composition and temperature measurements from a pilot-scale biomass gasification power plant (1 MW th , 6 tons biomass/day). The independence of the accuracy of the model on mesh resolution and computational particle number was determined. The impacts of the particle size distributions (PSD) and drag models on the reactive flows were also investigated.

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Optimizing sustainable biomass–coal co-firing power plant location problem under ambiguous supply

Chen

Liu

2023

Computers & Industrial Engineering

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Availability assessment of bioenergy and power plant location optimization: A case study for Pakistan

Cited by 9 publications

References 31 publications

A Spatially Explicit Optimization Model for Agricultural Straw-Based Power Plant Site Selection: A Case Study in Hubei Province, China

A Spatially Explicit Optimization Model for Agricultural Straw-Based Power Plant Site Selection: A Case Study in Hubei Province, China

Three-dimensional full-loop simulation of a dual fluidized-bed biomass gasifier

Optimizing sustainable biomass–coal co-firing power plant location problem under ambiguous supply

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