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| Author(s): |
Jerson Alexis Pinzon Amorocho
Total Authors: 1
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| Document type: | Master's Dissertation |
| Press: | Campinas, SP. |
| Institution: | Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia Elétrica e de Computação |
| Defense date: | 2018-02-26 |
| Examining board members: |
Luiz Carlos Pereira da Silva;
Daniel Dotta;
José Luiz Pereira Brittes
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| Advisor: | Luiz Carlos Pereira da Silva |
| Abstract | |
Buildings consume about 32% of the total electrical energy and are responsible for approximately 30% of CO2 emissions worldwide. These facts have promoted the development of building energy management systems (BEMS), which integrate distributed generation (DG), demand response (DR) schemes and management of indoor conditions, to reduce energy consumption guaranteeing comfort requirements of the occupants. Additionally, if the BEMS operation is coordinated in conjunction with the electrical grid, events such as insufficient renewable-based generation, energy price fluctuations, voltage limits violations, among others, can be mitigated. Thereby, this master's dissertation presents a strategy to coordinate, in a centralized fashion, the operation of multiple buildings in a microgrid. Initially, a BEMS to coordinate the operation of a smart building is developed, based on a mixed integer non-linear programming (MINLP) model, considering the management of heating, ventilation and air conditioning (HVAC) units, lighting appliances, photovoltaic generation (PV) and energy storage system (ESS), in order to minimize the total cost of energy consumption. Comfortable indoor conditions for the occupants are ensured by a set of mathematical constraints. Then, the mathematical representation of the electrical grid is integrated into the proposed MINLP model to extend the strategy to allow a central operator to manage the power consumption and generation of multiple buildings in a microgrid, with the aim of minimizing the total cost of the energy imported from the main utility, while operational constraints of the electrical grid are guaranteed. Additionally, a strategy that simplifies the original non-linear proposed model is presented, based on a set of linearization techniques and equivalent representations, obtained through a pre-processing stage executed in EnergyPlus. This strategy allows approximating the proposed MINLP model into a mixed integer linear programming (MILP) formulation, that can be solved using commercial solvers. In the First scenario of study, the proposed approach was tested individually in three buildings with different characteristics, without considering the electrical grid. The Second scenario of study included the entire model, analyzing a 13-bus microgrid with non-manageable loads and smart buildings. Finally, a rolling horizon (RH) strategy is proposed to address the uncertainty of the data, as well as reduce the amount of forecasting data required. Thus, in the Third scenario of study, the proposed RH scheme was tested in the same 13-bus microgrid, comparing the results with the solution found through the deterministic approach of the Second scenario (AU) | |
| FAPESP's process: | 15/18145-0 - Optimal Management of Energy Consumption and Comfort for Smart Buildings connected to a Microgrid |
| Grantee: | Jerson Alexis Pinzon Amorocho |
| Support Opportunities: | Scholarships in Brazil - Master |