A multiobjective methodology for renewable energy

• Grant number: 14/01604-0
• Support Opportunities: Scholarships abroad - Research
• Start date: August 18, 2014
• End date: July 25, 2015
• Field of knowledge: Engineering - Production Engineering - Operational Research
• Principal Investigator: Helenice de Oliveira Florentino Silva
• Grantee: Helenice de Oliveira Florentino Silva
• Host Investigator: Dylan Jones
• Host Institution: Instituto de Biociências (IBB). Universidade Estadual Paulista (UNESP). Campus de Botucatu. Botucatu , SP, Brazil
• Institution abroad: University of Portsmouth, England

Abstract

Currently over 80% of global energy comes from fossil fuels. But, the trend is that nuclear energy, fossil fuels and biomass will be abandoned in next four decades due to scarcity of sources. Will require the use of the solar, wind, ocean, hydropower and geothermal energy. The demand by renewable energy could be 95%. But the energy planning is no easy task due to its multi-objective character. There are several problem in order social, economic and environmental. Thus, the mathematical optimization techniques are excellent tools for decision making in studies and deployments of plants or renewable energy parks. This project aims at the investigation of multi-objective optimization techniques applied to logistics planning and generation of renewable energy process, with an emphasis on wind energy and biomass energy (AU)

Scientific publications

(14)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

HELENICE O. FLORENTINO; DANIELA R. CANTANE; FERNANDO L.P. SANTOS; CÉLIA A. REIS; MARGARIDA V. PATO; DYLAN JONES; MARIANNA CERASUOLO; ROGÉRIO A. OLIVEIRA; LUIZ G. LYRA. GENETIC ALGORITHM FOR OPTIMIZATION OF THE AEDES AEGYPTI CONTROL STRATEGIES. Pesquisa Operacional, v. 38, n. 3, p. 389-411, 2018-12-00. (14/01604-0, 09/15098-0, 10/07585-6, 09/14901-4)

FIORENTINO, HELENICE O.; CANTANE, DANIELA R.; SANTOS, FERNANDO L. P.; BANNWART, BETTINA F.. Multiobjective Genetic Algorithm applied to dengue control. MATHEMATICAL BIOSCIENCES, v. 258, p. 77-84, DEC 2014. (09/15098-0, 14/01604-0)

JONES, DYLAN; FLORENTINO, HELENICE; CANTANE, DANIELA; OLIVEIRA, ROGERIO. An extended goal programming methodology for analysis of a network encompassing multiple objectives and stakeholders. European Journal of Operational Research, v. 255, n. 3, p. 845-855, DEC 16 2016. (14/04353-8, 14/01604-0, 15/07293-9)

FLORENTINO, HELENICE DE OLIVEIRA; CANTANE, DANIELA RENATA; DOS REIS, CELIA APARECIDA; COLON, DIEGO; FLEURY ROSA, SUELIA RODRIGUES; HENRIQUES, J; NEVES, N; DECARVALHO, P. Exact Linearization Techniques to Analyze the Population Dynamics of the Dengue Fever Vector. XV MEDITERRANEAN CONFERENCE ON MEDICAL AND BIOLOGICAL ENGINEERING AND COMPUTING - MEDICON 2019, v. 76, p. 7-pg., 2020-01-01. (13/07375-0, 14/01604-0, 09/15098-0)

FLORENTINO, HELENICE DE O.; JONES, DYLAN F.; IRAWAN, CHANDRA ADE; OUELHADJ, DJAMILA; KHOSRAVI, BANAFESH; CANTANE, DANIELA R.. An optimization model for combined selecting, planting and harvesting sugarcane varieties. ANNALS OF OPERATIONS RESEARCH, v. 314, n. 2, p. 19-pg., 2020-04-27. (14/01604-0, 14/04353-8)

CHEM, ADRIANA CRISTINA; GONCALVES VIANNA, ANDREA CARLA; RAMOS, ROMULO PIMENTEL; FIORENTINO, HELENICE DE OLIVEIRA. A methodology to determine size and shape of plots for sugarcane plantation. CIENTIA AGRICOL, v. 76, n. 4, p. 8-pg., 2019-07-01. (14/01604-0, 15/03066-8)

FLORENTINO, HELENICE DE OLIVEIRA; IRAWAN, CHANDRA; ALIANO, ANGELO FILHO; JONES, DYLAN F.; CANTANE, DANIELA RENATA; NERVIS, JONIS JECKS. A multiple objective methodology for sugarcane harvest management with varying maturation periods. ANNALS OF OPERATIONS RESEARCH, v. 267, n. 1-2, p. 25-pg., 2018-08-01. (14/01604-0, 14/04353-8, 13/06035-0)

CHEM, ADRIANA CRISTINA; GONCALVES VIANNA, ANDREA CARLA; RAMOS, ROMULO PIMENTEL; FIORENTINO, HELENICE DE OLIVEIRA. A methodology to determine size and shape of plots for sugarcane plantation. Scientia Agricola, v. 76, n. 4, p. 266-273, JUL-AUG 2019. (15/03066-8, 14/01604-0)

FLORENTINO, HELENICE DE O.; JONES, DYLAN F.; IRAWAN, CHANDRA ADE; OUELHADJ, DJAMILA; KHOSRAVI, BANAFESH; CANTANE, DANIELA R.. An optimization model for combined selecting, planting and harvesting sugarcane varieties. ANNALS OF OPERATIONS RESEARCH, APR 2020. (14/04353-8, 14/01604-0)

FLORENTINO, HELENICE DE OLIVEIRA; IRAWAN, CHANDRA; ALIANO, ANGELO FILHO; JONES, DYLAN F.; CANTANE, DANIELA RENATA; NERVIS, JONIS JECKS. A multiple objective methodology for sugarcane harvest management with varying maturation periods. ANNALS OF OPERATIONS RESEARCH, v. 267, n. 1-2, SI, p. 153-177, AUG 2018. (13/06035-0, 14/01604-0, 14/04353-8)

DOS REIS, CELIA A.; FLORENTINO, HELENICE DE O.; COLON, DIEGO; FLEURY ROSA, SUELIA R.; CANTANE, DANIELA R.. An approach of the exact linearization techniques to analysis of population dynamics of the mosquito Aedes aegypti. MATHEMATICAL BIOSCIENCES, v. 299, p. 51-57, MAY 2018. (09/15098-0, 14/01604-0)

TEIXEIRA, EDUARDO DOS SANTOS; RANGEL, SOCORRO; FLORENTINO, HELENICE DE O.; DE ARAUJO, SILVIO ALEXANDRE. A review of mathematical optimization models applied to the sugarcane supply chain. International Transactions in Operational Research, SEP 2021. (16/01860-1, 13/07375-0, 14/01604-0, 14/04353-8)

POLTRONIERE, SONIA CRISTINA; FILHO, ANGELO ALIANO; CAVERSAN, AMANDA SUELLEN; BALBO, ANTONIO ROBERTO; FLORENTINO, HELENICE DE OLIVEIRA. Integrated planning for planting and harvesting sugarcane and energy-cane for the production of sucrose and energy. COMPUTERS AND ELECTRONICS IN AGRICULTURE, v. 184, MAY 2021. (13/07375-0, 16/01860-1, 14/04353-8, 14/20853-0, 14/01604-0)

ALIANO FILHO, ANGELO; DE OLIVEIRA FLORENTINO, HELENICE; PATO, MARGARIDA VAZ; POLTRONIERE, SONIA CRISTINA; DA SILVA COSTA, JOAO FERNANDO. Exact and heuristic methods to solve a bi-objective problem of sustainable cultivation. ANNALS OF OPERATIONS RESEARCH, v. 314, n. 2, p. 30-pg., 2019-11-14. (14/01604-0, 14/04353-8, 13/07375-0)