Assessing CO2 Mitigation Options Utilizing Detailed Electricity Characteristics and Including Renewable Generation

2nd International Conference on Green Energy Technology

能源学;生态环境科学

Bensaida, K.^1,2 ; Alie, Colin^1 ; Elkamel, A.^1,3 ; Almansoori, A.^3

Department of Chemical Engineering, University of Waterloo, 200 University Avenue W, Waterloo

ON

N2L, Canada^1

Department of Mechanical Engineering, National Engineering School of Sfax, Tunisa, Tunisia^2

Department of Chemical Engineering, Petroleum Institute, Khalifa University, United Arab Emirates^3

关键词: Electricity characteristics;    Electricity generation;    Electricity system;    Optimization problems;    Reducing co2 emissions;    Renewable energy generation;    Renewable generation;    Techno-economics;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/83/1/012019/pdf
DOI  :  10.1088/1755-1315/83/1/012019

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

This paper presents a novel techno-economic optimization model for assessing the effectiveness of CO2mitigation options for the electricity generation sub-sector that includes renewable energy generation. The optimization problem was formulated as a MINLP model using the GAMS modeling system. The model seeks the minimization of the power generation costs under CO2emission constraints by dispatching power from low CO2emission-intensity units. The model considers the detailed operation of the electricity system to effectively assess the performance of GHG mitigation strategies and integrates load balancing, carbon capture and carbon taxes as methods for reducing CO2emissions. Two case studies are discussed to analyze the benefits and challenges of the CO2reduction methods in the electricity system. The proposed mitigations options would not only benefit the environment, but they will as well improve the marginal cost of producing energy which represents an advantage for stakeholders.