| Full text | |
| Author(s): |
Terada, Lucas Zenichi
;
Cortez, Juan Carlos
;
Santos, Luiza Higino S.
;
Silva, Jessica Alice A.
;
Gomes, Francisca Dulcindia C.
;
Lopez, Juan Camilo
;
Rider, Marcos J.
Total Authors: 7
|
| Document type: | Journal article |
| Source: | 2024 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, PESGM 2024; v. N/A, p. 5-pg., 2024-01-01. |
| Abstract | |
An electrolyzer produces green hydrogen (H-2) using water and electricity from the main grid and local renewable energy sources (RESs). Hence, this study presents a stochastic linear programming (LP) model to efficiently sizing of distributed energy resources (DERs) for green producing and selling H-2. The proposed methodology involves a two-stage scenario reduction process, which manages computational complexities in handling numerous scenarios. The objective function aims to minimize the total average capital expenditure (CAPEX) and operating expenses (OPEX) for the project lifetime. A comprehensive test case incorporating wind, photovoltaic (PV), and battery energy storage system (BESS) is utilized to evaluate the efficacy of the model. The outcomes revealed that, for realistic investment costs and production prices, the BESS is not installed due to its high CAPEX and OPEX. (AU) | |
| FAPESP's process: | 20/13002-5 - Smart Recharge Algorithm for Electric Vehicles Considering the Integration of Distributed Electrical Resources: Microservice for IoT Electromobility Platforms |
| Grantee: | Lucas Zenichi Terada |
| Support Opportunities: | Scholarships in Brazil - Master |
| FAPESP's process: | 22/09171-1 - Design of a predictive model for electric vehicle smart charging based on cloud data |
| Grantee: | Lucas Zenichi Terada |
| Support Opportunities: | Scholarships abroad - Research Internship - Master's degree |
| FAPESP's process: | 21/11380-5 - CPTEn - São Paulo Center for the Study of Energy Transition |
| Grantee: | Luiz Carlos Pereira da Silva |
| Support Opportunities: | Research Grants - Science Centers for Development |