Fuzzy optimization model for enhanced weathering networks using industrial waste

Aviso, Kathleen B.; Lee, Jui-Yuan; Ubando, Aristotle T.; Tan, Raymond R.

doi:10.1007/s10098-021-02053-8

Cited by 12 publications

(6 citation statements)

References 51 publications

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“…The potential of EW using industrial waste, including slag, combustion ash, cement kiln dust, red mud, construction waste, and mine tailings, is estimated to reach 2.9 to 8.5 Gt CO 2 per year by 2100 [12]. The large-scale implementation of EW using non-hazardous industrial waste can be facilitated through optimization models that allocate waste to specific application sites [94][95][96].…”

Section: Implementation Techniquesmentioning

confidence: 99%

Exploratory Review on Environmental Aspects of Enhanced Weathering as a Carbon Dioxide Removal Method

Vandeginste,

Lim,

2024

Minerals

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The accumulation of carbon dioxide in the atmosphere due to fossil fuel burning and deforestation has caused global warming and an increase in extreme weather events. To complement the shift towards clean energy, it is crucial to adopt methods for carbon dioxide removal, known as negative emission technologies. Enhanced weathering is one such approach that involves accelerating the natural process of rock weathering by spreading finely ground rocks over large areas, such as agricultural land or coastal areas. This exploratory review paper provides an overview of the fundamental mechanisms behind enhanced weathering, and outlines the techniques for its implementation. The environmental benefits of enhanced weathering are highlighted, including carbon dioxide removal, and improvement of soil fertility. Furthermore, potential impacts on ecosystems and biodiversity are examined, along with the effects on water, soil and air quality. The paper also considers the risks and challenges associated with large-scale implementation and long-term stability of enhanced weathering. Additionally, the integration of enhanced weathering with Sustainable Development Goals is explored, along with the potential co-benefits and trade-offs with other sustainability objectives. To conclude, this exploratory review paper summarizes the key findings and proposes avenues for further research in this field of enhanced weathering.

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Section: Implementation Techniquesmentioning

confidence: 99%

Exploratory Review on Environmental Aspects of Enhanced Weathering as a Carbon Dioxide Removal Method

Vandeginste,

Lim,

2024

Minerals

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“…An LP model for maximizing EW CDR by matching rockcrushing plants with rock application sites under temporal constraints was developed [69]. Models have also been proposed for the optimal design of EW networks using alkaline industrial waste in Taiwan [70] and mainland China [71].…”

Section: Mathematical Programming Modelsmentioning

confidence: 99%

Optimization and decision support models for deploying negative emissions technologies

Migo-Sumagang

Aviso

Foo

et al. 2023

PLOS Sustain Transform

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Negative emissions technologies (NETs) will be needed to reach net-zero emissions by mid-century. However, NETs can have wide-ranging effects on land and water availability, food production, and biodiversity. The deployment of NETs will also depend on regional and national circumstances, technology availability, and decarbonization strategies. Process integration (PI) can be the basis for decision support models for the selection, planning, and optimization of the large-scale implementation of NETs. This paper reviews the literature and maps the role of PI in NETs deployment. Techniques such as mathematical programming, pinch analysis (PA), process graphs (P-graphs), are powerful methods for planning NET systems under resource or footprint constraints. Other methods such as multi-criteria decision analysis (MCDA), marginal abatement cost curves, causality maps, and machine learning (ML) are also discussed. Current literature focuses mainly on bioenergy with carbon capture and storage (BECCS) and afforestation/reforestation (AR), but other NETs need to be integrated into future models for large-scale decarbonization.

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“…Next, the total costs of power generation by power plant i in period k (CTF k ) are calculated from Equation (24). Whereas the first term of those equations represents the operating costs, the remaining two terms constitute the capital expenditure of the mitigation technologies.…”

Section: Mathematical Formulation Of Deco2mentioning

confidence: 99%

“…Due to the uncertainties with EW networks in terms of silicate rock grinding and property variations, a fuzzy MINLP model was formulated to address these issues [23]. The fuzzy model was further enhanced to consider the uncertainties that exist within industrial supply chains and economic evaluations [24]. A recent work considered the use of non-hazardous industrial waste during EW, in which a superstructural model was developed for its evaluation and analysis [25].…”

Section: Introductionmentioning

confidence: 99%

DECO2—An Open-Source Energy System Decarbonisation Planning Software including Negative Emissions Technologies

et al. 2023

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The deployment of CO2 capture and storage (CCS) and negative emissions technologies (NETs) are crucial to meeting the net-zero emissions target by the year 2050, as emphasised by the Glasgow Climate Pact. Over the years, several energy planning models have been developed to address the temporal aspects of carbon management. However, limited works have incorporated CCS and NETs for bottom-up energy planning at the individual plant scale, which is considered in this work. The novel formulation is implemented in an open-source energy system software that has been developed in this work for optimal decarbonisation planning. The DECarbonation Options Optimisation (DECO2) software considers multiperiod energy planning with a superstructural model and was developed in Python with an integrated user interface in Microsoft Excel. The software application is demonstrated with two scenarios that differ in terms of the availabilities of mitigation technologies. For the more conservative Scenario 1, in which CCS is only available in later years, and other NETs are assumed not to be available, all coal plants were replaced with biomass. Meanwhile, only 38% of natural gas plants are CCS retrofitted. The remaining natural gas plants are replaced with biogas. For the more aggressive Scenario 2, which includes all mitigation technologies, once again, all coal plants undergo fuel substitution. However, close to half of the natural gas plants are CCS retrofitted. The results demonstrated the potential of fuel substitutions for low-carbon alternatives in existing coal and natural gas power plants. Additionally, once NETs are mature and are available for commercial deployment, their deployment is crucial in aiding CO2 removal in minimal investment costs scenarios. However, the results indicate that the deployment of energy-producing NETs (EP-NETs), e.g., biochar and biomass with CCS, are far more beneficial in CO2 removal versus energy-consuming NETs (EC-NETs), e.g., enhanced weathering. The newly developed open-source software demonstrates the importance of determining the optimal deployment of mitigation technologies in meeting climate change targets for each period, as well as driving the achievement of net-zero emissions by mid-century.

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Fuzzy optimization model for enhanced weathering networks using industrial waste

Cited by 12 publications

References 51 publications

Exploratory Review on Environmental Aspects of Enhanced Weathering as a Carbon Dioxide Removal Method

Exploratory Review on Environmental Aspects of Enhanced Weathering as a Carbon Dioxide Removal Method

Optimization and decision support models for deploying negative emissions technologies

DECO2—An Open-Source Energy System Decarbonisation Planning Software including Negative Emissions Technologies

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