Single contract power optimization: A novel business model for smart buildings using intelligent energy management

Foroozandeh, Zahra; Ramos, Sérgio; Soares, João; Vale, Zita; Dias, M.F.

doi:10.1016/j.ijepes.2021.107534

Cited by 30 publications

(16 citation statements)

References 27 publications

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“…Electric vehicles, energy storage systems, and robustness evaluation were performed through various experimental designs. Foroozandeh et al (2022) assumed the customers have flexible contract systems in smart-buildings. In this study, a mixed binary optimization problem was proposed considering photovoltaic power generation, electric vehicles, and battery energy storage systems.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal Load Scheduling of Home Appliances Considering Operation Conditions

Jin¹,

Choi²

2022

Oper. Res. Eng. Sci. Theor. Appl.

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To reduce energy consumption arising from increasing energy efficiency in response to energy depletion around the world, energy price rises, climate change, and accidents of electric power are cooperating simultaneously. Recognizing the seriousness of the above-mentioned problems, feasible and effective policies for reducing greenhouse gas have been promoted in developed countries since the 2000s. Moreover, industry and academia are actively researching to develop energy-efficient and eco-friendly technologies, respectively. This study proposes an optimal model for scheduling home appliances that minimizes power costs by assuming a smart-home environment with smart metering and advanced metering infrastructure. In addition, a case-study was performed using actual data from South Korea, and sensitivity analysis was performed according to changes in parameters. The experiment considered possible real-life situations, such as an increase and decrease in power cost and a limitation in power usage, and proved that the proposed model was excellent to establish a power schedule for home appliances. This research result seems to serve as a guideline in relation to the control of home appliances to reduce power and smart homes.

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Section: Literature Reviewmentioning

confidence: 99%

Optimal Load Scheduling of Home Appliances Considering Operation Conditions

Jin¹,

Choi²

2022

Oper. Res. Eng. Sci. Theor. Appl.

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“…Numerous previous studies have focused on reducing electricity bills through different measures: optimisation of contracted power, both at the residential level [4] and for large consumers and industries [5,6]; managing peak electricity loads on manufacturing lines [7]; automated analysis of electricity bills for large companies [8]; implementation of renewables to reduce the amount of the bill for buildings [9], etc. There are also previous works regarding the design of tariff systems [10], the effect of the subsidised electrical energy tariff on residential energy [11], and so on.…”

Section: Introductionmentioning

confidence: 99%

Influence of the New Energy Context on the Spanish Agri-Food Industry

et al. 2022

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The Spanish agri-food industries face a new energy context radically different from the one existing less than a year ago. A comparable situation is occurring in other European countries. The great variability and different seasonality of the agro-industries condition the adaptation measures to be implemented. This article quantifies the impact of the new energy context on real industries with quite different consumption patterns. More than 1000 scenarios have been analysed to determine the effectiveness of adaptation measures. The study results demonstrate the critical situation to which the sector is subjected. The new tariff system affects the agri-food sector in an unequal way, benefiting industries with marked seasonality. In just one year, the electricity bill has increased between 62% and 151%. The savings generated by implementing measures such as optimising contracted power to a new hourly discrimination system (up to 6%) or shifting consumption to lower-cost periods (up to 21%) do not seem sufficient. If prices do not fall drastically, immediate installation of generation systems, such as photovoltaic panels, appears essential to maintain the viability and competitiveness of the sector.

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“…The model is based on an MILP formulation in witch V2G and demand response strategies are considered. In paper (Zahra et al, 2020;Foroozandeh et al, 2022), an energy management system was aiming to minimize the peak load power demand in an SB where the contract for each apartment is assumed to flexible. In this work, the schedule of the EVs/BESS charge and discharge is optimized using a MBLP model in which the charging/discharging of EVs and BESS in each time period is modeled by binary variables.…”

Section: Introductionmentioning

confidence: 99%

Charge/Discharge Scheduling of Electric Vehicles and Battery Energy Storage in Smart Building: a Mix Binary Linear Programming model

Foroozandeha

Ramos

Soares

et al. 2022

ADCAIJ

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Nowadays, the buildings have an important role on high demand of electricity energy. Therefore, the energy management of the buildings may have significant influence on reducing the electricity consumption. Moreover, Electric Vehicles (EVs) have been considering as a power storage devices in Smart Buildings (SBs) aiming to reduce the cost and consuming energy. Here, an energy management framework is proposed in which by considering the flexibility of the contracted power of each apartment, an optimal charging-discharging scheduled for EVs and Battery Energy Storage System (BESS) is defined over long time period to minimize the electricity cost of the building. The proposed model is design by a Mixed Binary Linear rogramming formulation (MBLP) that the charging and discharging of EVs as well as BESS in each period is treated as binary decision variables. In order to validate the model, a case study involving three scenarios are considered. The obtained results indicate a 15% reduction in total electricity consumption cost and consumption energy by the grid over a one year. Finally, the impact of capacity and charge/discharge rate of BESS on the power cost is analyzed and the optimal size of the BESS for assumed SB in the case study is also reported.

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Single contract power optimization: A novel business model for smart buildings using intelligent energy management

Cited by 30 publications

References 27 publications

Optimal Load Scheduling of Home Appliances Considering Operation Conditions

Optimal Load Scheduling of Home Appliances Considering Operation Conditions

Influence of the New Energy Context on the Spanish Agri-Food Industry

Charge/Discharge Scheduling of Electric Vehicles and Battery Energy Storage in Smart Building: a Mix Binary Linear Programming model

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