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Isaías Gomes is a researcher at ISQ in the Low Carbon and Resource Efficiency Unit. He is currently carrying out research in the field of modeling of sustainable energy systems, namely in the development of advanced optimization and planning tools for industries, buildings, and H2 integration in industries. Previously, he worked as a postdoctoral researcher at the University of Algarve and INESC TEC in the development of energy management systems related to energy communities and industry with renewable production. He holds a degree in Renewable Energy Engineering, a master's degree in Solar Energy Engineering and a PhD in Mechatronics and Energy Engineering. Areas of interest include modeling of sustainable energy systems, optimal planning and energy management, renewable energy, electricity markets, mathematical programming, mixed integer linear programming and stochastic programming. Skills - Strong programming skills in the field of optimization of energy systems in top languages: Python, MATLAB, and GAMS. - Strong mathematical formulation (operations research) skills in energy filed. - Proven experience in modelling and optimization of home energy management systems (HEMS) and energy management systems of energy communities. - Proven experience in the problem formulation and optimization of integrated operation of industry (manufacturing scheduling) and renewable energy. - Proven experience with MILP, MINLP, and stochastic programming applied to energy field. - Proven experience in the modeling and scheduling of operation of electrical devices: energy storage systems, electric vehicles, and electrical appliances. - Proven experience in the modeling and scheduling of operation of conventional energy systems: thermal units, gas turbines, and microturbines. - Proven experience in the mathematical formulation of demand response and flexibility. - Proven experience with solvers: CPLEX, Gurobi, GLPK, SCIP, and IPOPT. - Proven experience in modelling and optimization in electricity markets, microgrids, and virtual power plants. - Experience with modelling and optimization of gas turbines with natural gas-hydrogen blends. - Experience with modeling and optimization of heat recovery in dryers and kilns. - Experience with clustering techniques.
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Identificação

Identificação pessoal

Nome completo
ISAÍAS DA LUZ RAMOS GOMES

Nomes de citação

  • Gomes, I.L.R.

Identificadores de autor

Ciência ID
9A16-51D0-5AF9
ORCID iD
0000-0003-3110-6644
Scopus Author Id
57188648074

Domínios de atuação

  • Ciências da Engenharia e Tecnologias - Engenharia Eletrotécnica, Eletrónica e Informática
Formação
Grau Classificação
2021/03/25
Concluído
 Engenharia Mecatrónica e Energia (Doutoramento)
Especialização em Energy
Universidade de Évora, Portugal
"Microrrede no âmbito da Energia 4.0 face a incerteza e risco e ao mercado de eletricidade. Microgrid within the scope of Energy 4.0 facing uncertainty and risk and the electricity market. " (TESE/DISSERTAÇÃO)
 Approved with distinction
2016/04/27
Concluído
 Engenharia da Energia Solar (Mestrado)
Especialização em Energy
Universidade de Évora, Portugal
"Metodologia de Otimização Estocástica para Coordenação Eólico-Fotovoltaica. Stochastic Optimization Methodology for Wind-Photovoltaic Coordination. " (TESE/DISSERTAÇÃO)
 Excellent (18)
2014/07/05
Concluído
 Engenharia de Energias Renováveis (Licenciatura)
Universidade de Évora, Portugal
 14
Percurso profissional

Ciência

Categoria Profissional
Instituição de acolhimento 		Empregador
2024/04/01 - Atual Investigador (Investigação) Instituto de Soldadura e Qualidade, Portugal
2023/03/27 - 2024/03/26 Pós-doutorado (Investigação) Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
2021/07/26 - 2023/03/26 Pós-doutorado (Investigação) Universidade do Algarve Faculdade de Ciências e Tecnologia, Portugal
Projetos

Projeto

Designação Financiadores
2023/03/27 - 2024/03/26 BioShoes4All – Innovation and empowerment of the footwear industry for a sustainable bioeconomy
Bolseiro de Pós-Doutoramento
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Em curso
2021/07/26 - 2023/03/26 Promovendo comunidades de energia: de sistemas de gestão de energia residenciais a agregadores inteligentes de energia - HEMS2IEA
72581-HEMS2IEA/SAICT/2018
Bolseiro de Pós-Doutoramento
Universidade do Algarve Faculdade de Ciências e Tecnologia, Portugal
Concluído
Produções

Publicações

Artigo em conferência
  1. Isaías Gomes; José Paulos; Ricardo J. Bessa; Miguel Sousa; Rui Rebelo. "Energy-Efficient Manufacturing Scheduling of Footwear Industries With Onsite Photovoltaic Energy and Storage". 2024.
    10.1109/sest61601.2024.10694598
  2. Isaías Gomes; José Villar; João Sousa; Alexandre Lucas. "Virtual Batteries Business Models for Energy Suppliers". 2024.
    10.1109/eem60825.2024.10609017
  3. Gomes, I.L.R.. "Aggregation of Wind, Photovoltaic and Thermal Power with Demand Response". 2019.
    10.1109/icrera47325.2019.8996803
  4. Gomes, I.L.R.. "Stochastic Management of Bidirectional Electric Vehicles: The Case of an Electric Vehicles Aggregator". 2019.
    10.1109/eeeic.2019.8783513
  5. Gomes, I.L.R.; Laia, R.; Pousinho, H.M.I.; Melicio, R.; Mendes, V.M.F.. "Aggregation Platform for Wind-PV-Thermal Technology in Electricity Market". 2018.
    10.1109/SPEEDAM.2018.8445348
  6. Gomes, I.L.R.; Pousinho, H.M.I.; Melíco, R.; Mendes, V.M.F.. "Bidding and Optimization Strategies for Wind-PV Systems in Electricity Markets Assisted by CPS". 2016.
    10.1016/j.egypro.2016.12.109
  7. Gomes, I.L.R.; Pousinho, H.M.I.; Melicio, R.; Mendes, V.M.F.. "Stochastic optimization of coordinated wind-photovoltaic bids in electricity markets". 2016.
    10.1109/EPEPEMC.2016.7752139
Artigo em revista
  1. I.L.R. Gomes; M.G. Ruano; A.E. Ruano. "From home energy management systems to communities energy managers: The use of an intelligent aggregator in a community in Algarve, Portugal". Energy and Buildings (2023): https://doi.org/10.1016/j.enbuild.2023.113588.
    10.1016/j.enbuild.2023.113588
  2. I.L.R. Gomes; M.G. Ruano; A.E. Ruano. "MILP-based model predictive control for home energy management systems: A real case study in Algarve, Portugal". Energy and Buildings (2023): https://doi.org/10.1016/j.enbuild.2023.112774.
    10.1016/j.enbuild.2023.112774
  3. I.L.R. Gomes; M.G. Ruano; A. Ruano. "Minimizing the operation costs of a smart home using a HEMS with a MILP-based model predictive control approach". IFAC-PapersOnLine (2023): http://dx.doi.org/10.1016/j.ifacol.2023.10.054.
    10.1016/j.ifacol.2023.10.054
  4. Inoussa Habou Laouali; Isaías Gomes; M G Ruano; Saad Dosse Bennani; Hakim El Fadili; Antonio Ruano. "Energy Disaggregation Using Multi-Objective Genetic Algorithm Designed Neural Networks". Energies (2022): http://dx.doi.org/10.3390/en15239073.
    10.3390/en15239073
  5. "Recent Techniques Used in Home Energy Management Systems: A Review". Energies (2022): http://dx.doi.org/10.3390/en15082866.
    10.3390/en15082866
  6. Isaías Gomes; Rui Melicio; Victor M. F. Mendes. "Assessing the Value of Demand Response in Microgrids". Sustainability 13 11 (2021): 5848-5848. https://doi.org/10.3390/su13115848.
    10.3390/su13115848
  7. Duarte P. Pereira; Isaias L. R. Gomes; Rui Melicio; Victor M. F. Mendes. "Planning of Aircraft Fleet Maintenance Teams". Aerospace 8 5 (2021): 140-140. https://doi.org/10.3390/aerospace8050140.
    10.3390/aerospace8050140
  8. Gomes, I.L.R.. "A novel microgrid support management system based on stochastic mixed-integer linear programming". Energy 223 (2021): 120030-120030. http://dx.doi.org/10.1016/j.energy.2021.120030.
    10.1016/j.energy.2021.120030
  9. Gomes, I.L.R.. "Comparison between Inflexible and Flexible Charging of Electric Vehicles—A Study from the Perspective of an Aggregator". Energies 13 20 (2020): 5443-5443. http://dx.doi.org/10.3390/en13205443.
    10.3390/en13205443
  10. Gomes, I.L.R.. "Wind Power with Energy Storage Arbitrage in Day-ahead Market by a Stochastic MILP Approach". Logic Journal of the IGPL 28 4 (2020): 570-582. http://dx.doi.org/10.1093/jigpal/jzz054.
    10.1093/jigpal/jzz054
  11. Gomes, I.L.R.. "Dust effect impact on PV in an aggregation with wind and thermal powers". Sustainable Energy, Grids and Networks 22 (2020): 100359-100359. http://dx.doi.org/10.1016/j.segan.2020.100359.
    10.1016/j.segan.2020.100359
  12. Gomes, I.L.R.; Melicio, R.; Mendes, V.M.F.; Pousinho, H.M.I.. "Decision making for sustainable aggregation of clean energy in day-ahead market: Uncertainty and risk". Renewable Energy (2019): 692-702. http://www.scopus.com/inward/record.url?eid=2-s2.0-85056202632&partnerID=MN8TOARS.
    10.1016/j.renene.2018.10.054
  13. Gomes, I.L.R.; Pousinho, H.M.I.; Melício, R.; Mendes, V.M.F.. "Stochastic coordination of joint wind and photovoltaic systems with energy storage in day-ahead market". Energy 124 (2017): 310-320. http://www.scopus.com/inward/record.url?eid=2-s2.0-85013471846&partnerID=MN8TOARS.
    10.1016/j.energy.2017.02.080
Capítulo de livro
  1. Gomes, I.L.R.. "Scenario Reduction for Stochastic Optimization Applied to Short-Term Trading of PV Power". 246-255. Springer International Publishing, 2020.
    10.1007/978-3-030-45124-0_23
  2. Gomes, I.L.R.. "Electric Vehicles Aggregation in Market Environment: A Stochastic Grid-to-Vehicle and Vehicle-to-Grid Management". 343-352. Springer International Publishing, 2019.
    10.1007/978-3-030-17771-3_30
Livro
  1. Gomes, I.L.R.; Pousinho, H.M.I.; Melício, R.; Mendes, V.M.F.. Optimization of wind power producer participation in electricity markets with energy storage in a way of Energy 4.0. 2018.
    10.1007/978-3-319-67180-2_9
  2. Gomes, I.L.R.; Laia, R.; Pousinho, H.M.I.; Melicio, R.; Mendes, V.M.F.. Wind-PV-thermal power aggregator in electricity market. 2018.
    10.1007/978-3-319-78574-5_10
  3. Gomes, I.L.R.; Pousinho, H.M.I.; Melício, R.; Mendes, V.M.F.. Stochastic optimization for the daily joint operation of wind/PV and energy storage. 2017.
    10.1007/978-3-319-56077-9_27
  4. Laia, R.; Gomes, I.L.R.; Pousinho, H.M.I.; Melício, R.; Mendes, V.M.F.. Self-scheduling of wind-thermal systems using a stochastic MILP approach. 2017.
    10.1007/978-3-319-56077-9_23
  5. Gomes, I.L.R.; Pousinho, H.M.I.; Melício, R.; Mendes, V.M.F.. Optimal wind bidding strategies in day-ahead markets. 2016.
    10.1007/978-3-319-31165-4_44