دورية أكاديمية

Optimal Planning of Carbon Capture and Storage (CCS) Systems with Neutrosophic Uncertainties

التفاصيل البيبلوغرافية
العنوان: Optimal Planning of Carbon Capture and Storage (CCS) Systems with Neutrosophic Uncertainties
المؤلفون: John Frederick D. Tapia
المصدر: Chemical Engineering Transactions, Vol 103 (2023)
بيانات النشر: AIDIC Servizi S.r.l., 2023.
سنة النشر: 2023
المجموعة: LCC:Chemical engineering
LCC:Computer engineering. Computer hardware
مصطلحات موضوعية: Chemical engineering, TP155-156, Computer engineering. Computer hardware, TK7885-7895
الوصف: Carbon capture and storage (CCS) is an important technology that mitigates the effect of climate change. It involves the capture of CO2 from flue gas, transporting it through pipelines, and storing it underground in geological reservoirs. The characterization of the properties of geological reservoirs (i.e., storage capacity and flow rate limit) are subject to uncertainties. These uncertainties affect the planning of CCS systems, especially in determining which CO2 sources are to be matched with geological sinks subject to capacity and injectivity constraints. In this study, a Neutrosophic Linear Programming (NeLP) model is developed for optimal planning of CCS systems considering these uncertainties modeled as neutrosophic sets. The model involves taking into account the degree of satisfaction when minimizing risks, the degree of dissatisfaction when overestimating storage parameters, and the degree of indeterminacy when defining accurate storage site parameters. A case study will be used to illustrate the model. The model was able to generate insights as to how much CO2 must be injected into the geological reservoir to minimize the risks arising from uncertainty. The total CO2 stored in geological reservoirs varies from one risk behavior to another.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2283-9216
Relation: https://www.cetjournal.it/index.php/cet/article/view/13624; https://doaj.org/toc/2283-9216
URL الوصول: https://doaj.org/article/d3a81f609029428db5aa0eeee21c83a4
رقم الأكسشن: edsdoj.3a81f609029428db5aa0eeee21c83a4
قاعدة البيانات: Directory of Open Access Journals