| Title | Sustainable electricity supply planning: A nexus-based optimization approach |
|---|---|
| ID_Doc | 74144 |
| Authors | Jafar, HT; Tavakoli, O; Bidhendi, GRN; Alizadeh, M |
| Title | Sustainable electricity supply planning: A nexus-based optimization approach |
| Year | 2024 |
| Published | |
| Abstract | The shift of CO2 emissions responsibility from industrialized to developing nations during the last decade highlights the necessity of providing tailored energy planning tools, addressing data limitations, which leads to fostering sustainability efforts on a global scale. This study introduces a scenario-based energy system optimization model that examines the energy-water-emissions nexus within an electricity supply chain. Through a bottom-up method, a conceptual framework first qualitatively represents the interrelationships among the nexus, followed by mathematical formulations expanded explicitly. To evaluate the model's practicability, it is applied to Iran's electricity supply system as a case study. Beyond the business-as-usual scheme, two distinct scenarios are proposed to investigate a transition towards sustainable future pathways from 2020 to 2050. The optimal results reveal remarkable reductions in carbon intensity, water intensity, and primary energy factor of electricity supply under the low-carbon scenario. By 2050, these reductions average 58%, 16%, and 49% compared to the business-as-usual scheme. The less water-intensive scenario similarly witnesses substantial decreases of 43%, 74%, and 44% in the associated indicators. The findings confirm that improving energy efficiency and increasing renewable energy integration is pivotal in reshaping the system, reducing emissions and primary energy use. However, such measures alone do not guarantee reduced water consumption. Therefore, a hybrid index is devised, allowing for a nexus-based comparison of scenarios and facilitating overall sustainability assessment at the end of the planning horizon. |
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