University Campus Microgrid for Supporting Sustainable Energy Systems Operation

Moura, Pedro; Correia, Alexandre F. M.; Delgado, Joaquim; Fonseca, Paula; Almeida, Anı́bal T. de

doi:10.1109/icps48389.2020.9176755

Cited by 16 publications

(11 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This work extends to previous work regarding the implementation of a campus microgrid [11]. The microgrid is installed on a university campus, namely at the Department of Electrical and Computer Engineering of the University of Coimbra.…”

Section: Introduction 1motivationmentioning

confidence: 67%

“…In the topic of energy savings and efficiency measures, ref. [11] has shown that there is a large amount of HVAC energy demand in winter months and PV generation surplus during summer, which makes HVAC loads ideal for demand response and flexibility measures. The study developed in [12] concluded that for schools and campuses, there is potential for energy savings through the rescheduling of thermal energy loads and fans.…”

Section: Related Workmentioning

confidence: 99%

“…From the economic point-of-view, this is not attractive since the price paid for consumed energy is much higher than the price received for energy injected into the grid. Therefore, the microgrid was designed to ensure the use of flexibility options to increase the matching between generation and demand, as well as to allow the future increase in the installed power of the solar PV system [11,37]. In the effort to increase flexibility, options such as battery systems and vehicle-to-grid chargers were installed.…”

Section: Microgrid Integrationmentioning

confidence: 99%

See 2 more Smart Citations

Smart Thermostats for a Campus Microgrid: Demand Control and Improving Air Quality

et al. 2022

Self Cite

View full text Add to dashboard Cite

Achieving nearly zero-energy buildings (nZEB) is one of the main objectives defined by the European Union for achieving carbon neutrality in buildings. nZEBs are heavily reliant on distributed renewable generation energy sources, which create new challenges associated with their inherent intermittency. To achieve nZEB levels, demand management plays an essential role to balance supply and demand. Since up to two-thirds of the total consumed energy in buildings is dispended for Heating, Ventilation and Air Conditioning (HVAC) operations, intelligent control of HVAC loads is of utmost importance. The present work aims to offer a solution to improve a building microgrids’ flexibility by shifting thermal loads and taking advantage of room thermal inertia. Innovation is present in using the internet of things to link several decentralized local microcontrollers with the microgrid and in the applicability of different control algorithms, such as the pre-emptive heating/cooling of a room. The developed solution relies on smart thermostats, which can be integrated into a building management system, or in a microgrid, and are capable of fulfilling the occupants’ need for comfort while complementing the building with needed power flexibility. The equipment is capable of controlling several HVAC systems to guarantee thermal and air quality comfort, as well as coordinate with a building/microgrid operator to reduce energy costs by shifting thermal loads and enacting demand control strategies. The smart thermostat uses an algorithm to calculate room inertia and to pre-emptively heat/cool a room to the desired temperature, avoiding peak hours, taking advantage of variable tariffs for electricity, or periods of solar generation surplus. The smart thermostat was integrated into a university campus microgrid and tested in live classrooms. Since the work was developed during the COVID-19 pandemic, special attention was given to the air quality features. Results show that smart HVAC control is a viable way to provide occupant comfort, as well as contribute to the integration of renewable generation and increase energy efficiency in buildings and microgrids.

show abstract

Section: Introduction 1motivationmentioning

confidence: 67%

Section: Related Workmentioning

confidence: 99%

Section: Microgrid Integrationmentioning

confidence: 99%

See 1 more Smart Citation

Smart Thermostats for a Campus Microgrid: Demand Control and Improving Air Quality

et al. 2022

Self Cite

View full text Add to dashboard Cite

show abstract

“…When the EV and DSM plan are taken into account, the load curve is smoothed, which results in a significant amount of profit, including the efficiency of the system. However, it lacks battery degradation cost with an economic analysis to predict the battery degradation according to time and it also focuses on a two-layered hybrid ESS system which also lacks the selection of some advanced energy storage systems such as Siemens Junelight Smart Battery SB–(3,3), Battery flex AC-1 1.3 (6.0 kW, 4.8 kWh) [ 55 ], or REACT2-5.0–12 kWh–AC or DC, etc.…”

Section: Energy Management Of Campus Microgrids With Distributed Gene...mentioning

confidence: 99%

Sustainable Solutions for Advanced Energy Management System of Campus Microgrids: Model Opportunities and Future Challenges

Muqeet

Javed

Akhter

et al. 2022

Sensors

View full text Add to dashboard Cite

Distributed generation connected with AC, DC, or hybrid loads and energy storage systems is known as a microgrid. Campus microgrids are an important load type. A university campus microgrids, usually, contains distributed generation resources, energy storage, and electric vehicles. The main aim of the microgrid is to provide sustainable, economical energy, and a reliable system. The advanced energy management system (AEMS) provides a smooth energy flow to the microgrid. Over the last few years, many studies were carried out to review various aspects such as energy sustainability, demand response strategies, control systems, energy management systems with different types of optimization techniques that are used to optimize the microgrid system. In this paper, a comprehensive review of the energy management system of campus microgrids is presented. In this survey, the existing literature review of different objective functions, renewable energy resources and solution tools are also reviewed. Furthermore, the research directions and related issues to be considered in future microgrid scheduling studies are also presented.

show abstract

“…It showed that the microgrid delivered a constant 50 kW of power between 8 am and 1 pm and it reduced the peak power flow between 5:35 pm and 10 pm in which its consumption was 90 kW. Another microgrid model is presented in [12] for the University of Coimbra, Portugal, which consisted of a PV plant, Li-ion batteries, uni/bi-directional charging of EV, and controllers. The main objective of this microgrid system was to achieve sustainable energy, install the RER resources, and maximize the economic benefit.…”

Section: Recent Research Work: a Detailed Reviewmentioning

confidence: 99%

Optimal Energy Management of a Campus Microgrid Considering Financial and Economic Analysis with Demand Response Strategies

Javed

Muqeet²,

Shehzad

et al. 2021

Energies

View full text Add to dashboard Cite

An energy management system (EMS) was proposed for a campus microgrid (µG) with the incorporation of renewable energy resources to reduce the operational expenses and costs. Many uncertainties have created problems for microgrids that limit the generation of photovoltaics, causing an upsurge in the energy market prices, where regulating the voltage or frequency is a challenging task among several microgrid systems, and in the present era, it is an extremely important research area. This type of difficulty may be mitigated in the distribution system by utilizing the optimal demand response (DR) planning strategy and a distributed generator (DG). The goal of this article was to present a strategy proposal for the EMS structure for a campus microgrid to reduce the operational costs while increasing the self-consumption from green DGs. For this reason, a real-time-based institutional campus was investigated here, which aimed to get all of its power from the utility grid. In the proposed scenario, solar panels and wind turbines were considered as non-dispatchable DGs, whereas a diesel generator was considered as a dispatchable DG, with the inclusion of an energy storage system (ESS) to deal with solar radiation disruptions and high utility grid running expenses. The resulting linear mathematical problem was validated and plotted in MATLAB with mixed-integer linear programming (MILP). The simulation findings demonstrated that the proposed model of the EMS reduced the grid electricity costs by 38% for the campus microgrid. The environmental effects, economic effects, and the financial comparison of installed capacity of the PV system were also investigated here, and it was discovered that installing 1000 kW and 2000 kW rooftop solar reduced the GHG generation by up to 365.34 kg CO2/day and 700.68 kg CO2/day, respectively. The significant economic and environmental advantages based on the current scenario encourage campus owners to invest in DGs and to implement the installation of energy storage systems with advanced concepts.

show abstract

University Campus Microgrid for Supporting Sustainable Energy Systems Operation

Cited by 16 publications

References 12 publications

Smart Thermostats for a Campus Microgrid: Demand Control and Improving Air Quality

Smart Thermostats for a Campus Microgrid: Demand Control and Improving Air Quality

Sustainable Solutions for Advanced Energy Management System of Campus Microgrids: Model Opportunities and Future Challenges

Optimal Energy Management of a Campus Microgrid Considering Financial and Economic Analysis with Demand Response Strategies

Contact Info

Product

Resources

About