Scatter Search for Optimal Sizing of a Hybrid Renewable Energy System for Scheduling Green Hydrogen Production
At present, energy demands are mainly covered by the use of fossil fuels. The process of fossil fuel production increases pollution from oil extraction, transport to processing centers, treatment to obtain lighter fractions, and delivery and use by the final consumers. Such polluting circumstances a...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
|
| Series: | Mathematics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7390/12/23/3848 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850060389804408832 |
|---|---|
| author | Andrés Cacereño Begoña González Landín Antonio Pulido Gabriel Winter José Andrés Moreno |
| author_facet | Andrés Cacereño Begoña González Landín Antonio Pulido Gabriel Winter José Andrés Moreno |
| author_sort | Andrés Cacereño |
| collection | DOAJ |
| description | At present, energy demands are mainly covered by the use of fossil fuels. The process of fossil fuel production increases pollution from oil extraction, transport to processing centers, treatment to obtain lighter fractions, and delivery and use by the final consumers. Such polluting circumstances are aggravated in the case of accidents involving fossil fuels. They are also linked to speculative markets. As a result, the trend is towards the decarbonization of lifestyles in advanced societies. The present paper addresses the problem of the optimal sizing of a hybrid renewable energy system for scheduling green hydrogen production. A local system fully powered by renewable energies is designed to obtain hydrogen from seawater. In order to monetize excess energy, the grid connection of the system is considered under realistic energy market constraints, designing an hourly purchasing strategy. This crucial problem, which has not been taken into account in the literature, is solved by the specific dispatch strategy designed. Several optimization methods have been used to solve this problem; however, the scatter search method has not previously been employed. In this paper, the problem is faced with a novel implementation of this method. The implementation is competitive in terms of performance when compared to, on the one hand, the genetic algorithm and differential evolution methods, which are well-known state-of-the-art evolutionary algorithms, and, on the other hand, the optimal foraging algorithm (OFA), a more recent algorithm. Furthermore, scatter search outperformed all other methods in terms of computational cost. This is promising for real-world applications that require quick responses. |
| format | Article |
| id | doaj-art-e2ea25ecc5be4ffea36dde7fce448768 |
| institution | DOAJ |
| issn | 2227-7390 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj-art-e2ea25ecc5be4ffea36dde7fce4487682025-08-20T02:50:33ZengMDPI AGMathematics2227-73902024-12-011223384810.3390/math12233848Scatter Search for Optimal Sizing of a Hybrid Renewable Energy System for Scheduling Green Hydrogen ProductionAndrés Cacereño0Begoña González Landín1Antonio Pulido2Gabriel Winter3José Andrés Moreno4Instituto Universitario de Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería, Universidad de Las Palmas de Gran Canaria, 35017 Las Palmas de Gran Canaria, SpainInstituto Universitario de Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería, Universidad de Las Palmas de Gran Canaria, 35017 Las Palmas de Gran Canaria, SpainInstituto Universitario de Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería, Universidad de Las Palmas de Gran Canaria, 35017 Las Palmas de Gran Canaria, SpainInstituto Universitario de Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería, Universidad de Las Palmas de Gran Canaria, 35017 Las Palmas de Gran Canaria, SpainInstituto Universitario de Desarrollo Regional, Universidad de La Laguna, 38071 La Laguna, SpainAt present, energy demands are mainly covered by the use of fossil fuels. The process of fossil fuel production increases pollution from oil extraction, transport to processing centers, treatment to obtain lighter fractions, and delivery and use by the final consumers. Such polluting circumstances are aggravated in the case of accidents involving fossil fuels. They are also linked to speculative markets. As a result, the trend is towards the decarbonization of lifestyles in advanced societies. The present paper addresses the problem of the optimal sizing of a hybrid renewable energy system for scheduling green hydrogen production. A local system fully powered by renewable energies is designed to obtain hydrogen from seawater. In order to monetize excess energy, the grid connection of the system is considered under realistic energy market constraints, designing an hourly purchasing strategy. This crucial problem, which has not been taken into account in the literature, is solved by the specific dispatch strategy designed. Several optimization methods have been used to solve this problem; however, the scatter search method has not previously been employed. In this paper, the problem is faced with a novel implementation of this method. The implementation is competitive in terms of performance when compared to, on the one hand, the genetic algorithm and differential evolution methods, which are well-known state-of-the-art evolutionary algorithms, and, on the other hand, the optimal foraging algorithm (OFA), a more recent algorithm. Furthermore, scatter search outperformed all other methods in terms of computational cost. This is promising for real-world applications that require quick responses.https://www.mdpi.com/2227-7390/12/23/3848green hydrogenoptimizationscatter searchevolutionary algorithmsdispatch strategy |
| spellingShingle | Andrés Cacereño Begoña González Landín Antonio Pulido Gabriel Winter José Andrés Moreno Scatter Search for Optimal Sizing of a Hybrid Renewable Energy System for Scheduling Green Hydrogen Production Mathematics green hydrogen optimization scatter search evolutionary algorithms dispatch strategy |
| title | Scatter Search for Optimal Sizing of a Hybrid Renewable Energy System for Scheduling Green Hydrogen Production |
| title_full | Scatter Search for Optimal Sizing of a Hybrid Renewable Energy System for Scheduling Green Hydrogen Production |
| title_fullStr | Scatter Search for Optimal Sizing of a Hybrid Renewable Energy System for Scheduling Green Hydrogen Production |
| title_full_unstemmed | Scatter Search for Optimal Sizing of a Hybrid Renewable Energy System for Scheduling Green Hydrogen Production |
| title_short | Scatter Search for Optimal Sizing of a Hybrid Renewable Energy System for Scheduling Green Hydrogen Production |
| title_sort | scatter search for optimal sizing of a hybrid renewable energy system for scheduling green hydrogen production |
| topic | green hydrogen optimization scatter search evolutionary algorithms dispatch strategy |
| url | https://www.mdpi.com/2227-7390/12/23/3848 |
| work_keys_str_mv | AT andrescacereno scattersearchforoptimalsizingofahybridrenewableenergysystemforschedulinggreenhydrogenproduction AT begonagonzalezlandin scattersearchforoptimalsizingofahybridrenewableenergysystemforschedulinggreenhydrogenproduction AT antoniopulido scattersearchforoptimalsizingofahybridrenewableenergysystemforschedulinggreenhydrogenproduction AT gabrielwinter scattersearchforoptimalsizingofahybridrenewableenergysystemforschedulinggreenhydrogenproduction AT joseandresmoreno scattersearchforoptimalsizingofahybridrenewableenergysystemforschedulinggreenhydrogenproduction |