Joint Model Predictive Control of Electric and Heating Resources in a Smart Building

Liberati, Francesco; Giorgio, Alessandro Di; Giuseppi, Alessandro; Pietrabissa, Antonio; Habib, Emanuele; Martirano, Luigi

doi:10.1109/tia.2019.2932954

Cited by 31 publications

(16 citation statements)

References 53 publications

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“…When converting from internal combustion vehicles to electric vehicles in a near-zero energy building, a significant increase in energy demand must be taken into account, which, for some research [56], ranged from 27-95% while saving 11-35% total emissions within the building. Another paper [57] focused on the energy consumption of an intelligent building with a car charger, resulting in an energy management algorithm for the heat pump, electric vehicle, energy storage, and other time-varying loads.…”

Section: Discussionmentioning

confidence: 99%

Capabilities of Nearly Zero Energy Building (nZEB) Electricity Generation to Charge Electric Vehicle (EV) Operating in Real Driving Conditions (RDC)

et al. 2021

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The growing number of electric vehicles in recent years is observable in almost all countries. The country’s energy transition should accompany this rise in electromobility if it is currently generated from non-renewable sources. Only electric vehicles powered by renewable energy sources can be considered zero-emission. Therefore, it is essential to conduct interdisciplinary research on the feasibility of combining energy recovery/generation structures and testing the energy consumption of electric vehicles under real driving conditions. This work presents a comprehensive approach for evaluating the energy consumption of a modern public building–electric vehicle system within a specific location. The original methodology developed includes surveys that demonstrate the required mobility range to be provided to occupants of the building under consideration. In the next step, an energy balance was performed for a novel near-zero energy building equipped with a 199.8 kWp photovoltaic installation, the energy from which can be used to charge an electric vehicle. The analysis considered the variation in vehicle energy consumption by season (winter/summer), the actual charging profile of the vehicle, and the parking periods required to achieve the target range for the user.

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Section: Discussionmentioning

confidence: 99%

Capabilities of Nearly Zero Energy Building (nZEB) Electricity Generation to Charge Electric Vehicle (EV) Operating in Real Driving Conditions (RDC)

et al. 2021

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“…The authors in [51] have proposed a model predictive control (MPC) framework to manage the heating and electric sources in harmony in smart buildings to meet the target of nearly zero-energy and participate in demand response programs automatically while maintaining human comfort. A distributed MPC approach for Volt/VAr control using a smart building in active distribution networks has been presented to control power quality in [52].…”

Section: Literature Surveymentioning

confidence: 99%

Active Building as an Energy System: Concept, Challenges, and Outlook

et al. 2021

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Over the last decades, environmental concerns and the global tendency to reduce the use of fossil fuels and replacing them with renewable energy sources (RESs) to face the increasing rate of greenhouse gas (GHG) emissions have increased. Buildings consume a significant amount of energy and therefore, they are responsible for a noticeable part of the total GHG emission. Thus, when we talk about decarbonization of the energy systems, buildings are an important sector of the energy system that needs to be considered. Using RESs, smart technologies, and information and communication technologies along with the improvement in energy efficiency, are a number of endeavors to increase the role of building on the way toward decarbonization. In the new environment, the buildings are not passive players of the energy systems and they are able to take an active role and participate in the energy-efficient operation. While they are able to manage their resources and serve the local energy requirements of the residents in the best possible manner, they can participate in the energy and balancing markets and support the network operators as a service provider. In this paper, we present a comprehensive review of active buildings' concept, challenges and outlook to pave the way for the researchers from academia and industry who want to start working in this area.

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“…However, the EMS was so general, and it was based on a net metering scheme. In some studies [26][27][28], a predictive part has been added in the EMS design to forecast the load consumption of PV generation. Lack of predictiveness is one of the limitations of the current study.…”

Section: Literature Review and Research Gapsmentioning

confidence: 99%

Energy Management Systems for Grid-Connected Houses with Solar PV and Battery by Considering Flat and Time-of-Use Electricity Rates

et al. 2021

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This paper develops new practical rule-based energy management systems (EMSs) for typical grid-connected houses with solar photovoltaic (PV) and battery by considering different rates for purchasing and selling electricity. The EMSs are developed to supply the household’s loads and reduce operating costs of the system based on different options of flat and time-of-use (ToU) rates for buying and selling electricity prices. Four different options are evaluated and compared in this study: (1) Flat-Flat, (2) ToU-Flat, (3) Flat-ToU, and (4) ToU-ToU. The operation cost is calculated based on the electricity exchange with the main grid, the equivalent cost of PV generation, as well as the degradation cost of battery storage. The operation of the grid-connected house with rooftop solar PV and battery is evaluated for a sunny week in summer and a cloudy week in winter to investigate the proper performance for high and low generations of PV. While the developed rule-based EMS are generic and can be applied for any case studies, a grid-connected house in Australia is examined. For this purpose, real data of solar radiation, air temperature, electricity consumption, and electricity rates are used. It is found that the ToU-Flat option has the lowest operating cost for the customers.

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Joint Model Predictive Control of Electric and Heating Resources in a Smart Building

Cited by 31 publications

References 53 publications

Capabilities of Nearly Zero Energy Building (nZEB) Electricity Generation to Charge Electric Vehicle (EV) Operating in Real Driving Conditions (RDC)

Capabilities of Nearly Zero Energy Building (nZEB) Electricity Generation to Charge Electric Vehicle (EV) Operating in Real Driving Conditions (RDC)

Active Building as an Energy System: Concept, Challenges, and Outlook

Energy Management Systems for Grid-Connected Houses with Solar PV and Battery by Considering Flat and Time-of-Use Electricity Rates

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