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Equipo de investigación busca empresas interesadas en implementar una herramienta interactiva de optimización multiobjetivo para planificación energética

Resumen

Tipo:
Oferta Tecnológica
Referencia:
TOGR20170127001
Publicado:
31/01/2017
Caducidad:
31/01/2018
Resumen:
Un equipo de investigación griego está desarrollando un modelo que utiliza variables de tipo continuo (flujo de energía) y entero (tecnologías, capacidades distintas) para optimizar el sistema energético teniendo en cuenta múltiples objetivos que compiten entre sí. Este método es capaz de producir soluciones de Pareto óptimas (soluciones que no pueden mejorar con respecto a un objetivo sin deteriorar el rendimiento de otros objetivos) en problemas multiobjetivo. El equipo de investigación busca empresas interesadas en implementar este método en sus estrategias de ahorro energético mediante acuerdos de servicio. Asimismo busca departamentos/centros de investigación para continuar con el desarrollo de la herramienta y establecer acuerdos de cooperación técnica y en materia de investigación.


Details

Tittle:
Research team is looking to collaborate with enterprises who can benefit from an interactive multi-objective optimization tool for energy planning.
Summary:
A Greek research team is developing a model for optimizing the energy system taking into account multiple objectives that may compete with each other. The team seeks enterprises that want to implement the method as part of their energy saving strategy through a services agreement. It also seeks other research departments/bodies to further develop the tool via a research or technical cooperation agreement.
Description:
Meeting the energy demand at the national, regional or local level as well as satisfying the energy needs of distinct enterprises or building blocks can be achieved through the exploitation of different energy sources using a multiplicity of different energy technologies characterized by different technical features and capacity. The selection of the optimal mix of energy sources and technologies depends on the objectives set by energy planners or decision makers.
Nowadays, the cost can not represent the only goal governing energy planning. The goal of sustainability and the specific targets of the European energy strategy, such as the minimization of CO2 emissions, the maximization of the energy system´s security etc.
The Greek laboratory team has developed an advanced optimization method using both continuous (energy flows) and integer variables (technologies, distinct capacities) for optimizing the energy system under consideration by taking into account multiple objectives that may compete with each other (multi-objective mixed integer linear programming).
The developed method is capable of producing Pareto optimal solutions (solutions that cannot be improved with respect to one objective without deteriorating the performance of other objectives) in multi-objective problems. The information provided to the decision maker is very valuable as he/she can compare the trade-offs of the provided solutions before eventually selecting the most beneficial one.
Moreover, uncertainty regarding critical system parameters, such as energy demand, the cost of technology, etc. can be modeled by using stochastic approaches (e.g. Monte Carlo simulation) or fuzzy coefficients. The method presents excellent performance in a computational demanding problem that combines multi-objective optimization and Monte Carlo simulation. An interactive approach is also designed to help decision makers in order to identify the most beneficial among the Pareto optimal solutions. This systematic and constructive procedure supports decision making also in the presence of several decision makers with conflicting views, facilitating a consensus and the identification of a compromise solution. Moreover, recent work has examined the robustness of the obtained Pareto solutions.
The research team is looking for a service agreement with enterprises that want to implement the model, such as electricity suppliers, hotels, hospitals, etc. They are also seeking other research teams in the field who could help to develop the tool further.
Advantages and Innovations:
The multi-objective optimization tool for energy planning offers excellent performance in a computational demanding problem that combines multi-objective optimization and Monte Carlo simulation. It is fruitful because it can compare the trade-offs of the provided solutions before the user eventually selects the most beneficial one. Also, an interactive approach is designed in order to help decision makers to identify the most beneficial among the Pareto optimal solutions.
Stage of Development:
Field tested/evaluated
IPs:
Other

Partner sought

Type and Role of Partner Sought:
Service Agreement:-

Type of partner sought:
Enterprises in industries that experience varying, and even conflicting, energy demands such as electricity suppliers, hotels, hospitals, schools, but also large offices, etc.
Specific area of activity of the partner:
Any enterprise in the energy sector or one that uses large premises
Task to be performed:
- To adopt the tool in order to improve their energy planning and saving strategy


Research or Technical Cooperation Agreement:-

Type of partner sought: other universities or research bodies
Specific area of activity of the partner: modelling of utility consumption

Task to be performed: to help refine the existing algorithms for more optimal outcome.

Client

Type and Size of Client:
University
Already Engaged in Trans-National Cooperation:
No
Languages Spoken:
English
Greek

Keywords

Technology Keywords:
04007004 Aislamiento térmico
04007006 Calificación energética cero, de bajo consumo y plus
04007001 Gestión de la energía
04007003 Optimización de procesos, utilización de energía residual
04007005 Tubos de vacío