Optimal Management of Energy Consumption and Comfort for Smart Buildings connected to a Microgrid

• Grant number: 15/18145-0
• Support Opportunities: Scholarships in Brazil - Master
• Effective date (Start): March 01, 2016
• Effective date (End): February 28, 2018
• Field of knowledge: Engineering - Electrical Engineering
• Principal Investigator: Luiz Carlos Pereira da Silva
• Grantee: Jerson Alexis Pinzon Amorocho
• Host Institution: Faculdade de Engenharia Elétrica e de Computação (FEEC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil

Abstract

This research project aims to develop a strategy to manage the energy consumption and comfort in smart buildings equipped with renewable resources such as photovoltaic generation (PV), and energy storage system (ESS). The approach considers the management of the heating, ventilation and air conditioning (HVAC) units and lighting appliances, since they represent the two largest loads in a typical building, and coordinates PV, ESS and the energy traded with the main grid. The goal is to reduce the electrical bill of the building by managing the loads, as well as scheduling of ESS, meanwhile suitable indoor conditions are ensured to guarantee the comfort of the users. In the literature there are different strategies to solve the building operation problem. Approaches based on building analysis tools can capture well the dynamics of the building but have the disadvantage of requiring a design phase to develop the model and high processing time. Some strategies are based on non-linear models that require the use of iterative methods. On the other hand, the strategies that use simpler models allow analytical optimal solution with a lower processing time but it can compromise the accuracy of the analysis. Thus, the present project combines approximated models with the accuracy of a building analysis tool, in this case EnergyPlus, in order to obtain a new mixed integer linear programing (MILP) model that can be solved using commercial solvers, which guarantee the optimality. This approach reduce the processing time since it does not use several simulations such as the co-simulation strategies, and improve the accuracy of the modeling by executing a pre-processing stage by EnergyPlus. The main objective of the project is to study the impacts of the management strategy in the indoor conditions, the energy consumption of the building and the distribution grid.

Scientific publications

(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)

PINZON, JERSON A.; VERGARA, PEDRO P.; DA SILVA, LUIZ C. P.; RIDER, MARCOS J.; IEEE. An MILP Model for Optimal Management of Energy Consumption and Comfort in Smart Buildings. 2017 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE (ISGT), v. N/A, p. 5-pg., 2017-01-01. (15/09136-8, 15/18145-0)

PINZON, JERSON A.; VERGARA, PEDRO P.; DA SILVA, LUIZ C. P.; RIDER, MARCOS J.. Optimal Management of Energy Consumption and Comfort for Smart Buildings Operating in a Microgrid. IEEE TRANSACTIONS ON SMART GRID, v. 10, n. 3, p. 3236-3247, MAY 2019. (15/09136-8, 15/18145-0)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

AMOROCHO, Jerson Alexis Pinzon. Gestão ótima do consumo de energia e do conforto em edificações inteligentes ligadas a uma microrrede. 2018. Master's Dissertation - Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia Elétrica e de Computação Campinas, SP.