Optimal Model for Energy Management Strategy in Smart Building with Energy Storage Systems and Electric Vehicles
Francisco David Moya,
José Luis Torres-Moreno and
José Domingo Álvarez
Additional contact information
Francisco David Moya: GESETIC Research Group, School of Electrical Engineering, Universidad Distrital Francisco José de Caldas, 111711 Bogotá, Colombia
José Luis Torres-Moreno: CIESOL Joint Center University of Almería-CIEMAT, 04120 Almería, Spain
José Domingo Álvarez: CIESOL Joint Center University of Almería-CIEMAT, 04120 Almería, Spain
Energies, 2020, vol. 13, issue 14, 1-18
Abstract:
The aim of this work was to develop an optimal model for an energy management strategy in a real micro-grid, which involves a smart building, a photovoltaic system with storage, and a plug-in full electric vehicle. A controller based on a mathematical algorithm was the core of each strategy, which directly acted on a relay board managing the interconnection between the different elements comprising the micro-grid. The development of an optimization model involving binary variables required an efficient code that achieved solutions in a short time. The analyzed case-study corresponded to the solar energy research center (CIESOL) smart building, a bioclimatic building, that is located at the University of Almería (Spain), designated to research in renewable energies. Using the methodologies described in this work, the total cost of the smart building energy consumption was minimized by decreasing the power supplied from the grid, especially at peak hours. Highlighting the use of a simple model that provided better performance than the current state of the art methodologies. The optimal model for energy management strategy demonstrated the advantages of using classical optimization techniques to solve this specific optimization problem, compared to a rule-based controller. The linear modeling was capable of producing a simple algorithm with less code development and a reduction in the computational effort.
Keywords: smart building; building energy management; demand response (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
https://www.mdpi.com/1996-1073/13/14/3605/pdf (application/pdf)
https://www.mdpi.com/1996-1073/13/14/3605/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:13:y:2020:i:14:p:3605-:d:383924
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().