An interval-based nested optimization framework for deriving flexibility from smart buildings and electric vehicle fleets in the TSO-DSO coordination

Applied Energy, Journal Year: 2023, Volume and Issue: 341, P. 121062 - 121062

Published: April 19, 2023

Language: Английский

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A review of distributed energy system optimization for building decarbonization

Journal of Building Engineering, Journal Year: 2023, Volume and Issue: 73, P. 106735 - 106735

Published: May 9, 2023

Language: Английский

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Intelligent decision support systems in construction engineering: An artificial intelligence and machine learning approaches

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 249, P. 123503 - 123503

Published: Feb. 23, 2024

Language: Английский

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A novel forecast-based operation strategy for residential PV-battery-flexible loads systems considering the flexibility of battery and loads

Energy Conversion and Management, Journal Year: 2023, Volume and Issue: 278, P. 116705 - 116705

Published: Jan. 27, 2023

Language: Английский

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Scenario-based multi-objective optimization strategy for rural PV-battery systems

Applied Energy, Journal Year: 2023, Volume and Issue: 345, P. 121314 - 121314

Published: June 1, 2023

Language: Английский

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Demand Side Management in Industrial, Commercial, and Residential Sectors: A Review of Constraints and Considerations

Energies, Journal Year: 2023, Volume and Issue: 16(13), P. 5155 - 5155

Published: July 4, 2023

Demand Side Management (DSM) is a cost-effective approach to managing electricity networks, aimed at reducing capacity requirements and costs, increasing the penetration of renewable generation, power system emissions. This review article explores distinctive characteristics demand in industrial, commercial, residential sectors, their relationship successful implementation DSM. The constraints considerations for DSM are characterized as technical, economic, behavioral factors, such process requirements, business operation constraints, consumer decisions, respectively. By considering all three types factors impacts each sector, this contributes novel insights that can inform future industrial commercial sectors found be primarily constrained by technical considerations, while sector also subject economic constraints. Conversely, human behavior outcomes, highly variable, largest contributor peak demand. identifies sector-specific opportunities enhance uptake. Industrial uptake will benefit from technological improvements; enhanced incentivization; improved understanding interactions between behavior, energy use. Finally, investigates models concludes agent-based best suited integrating these into models, thereby driving DSM, particularly important sector.

Language: Английский

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Comparative study on electricity transactions between multi-microgrid: A hybrid game theory-based peer-to-peer trading in heterogeneous building communities considering electric vehicles

Applied Energy, Journal Year: 2024, Volume and Issue: 367, P. 123459 - 123459

Published: May 17, 2024

Language: Английский

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Model predictive control for demand flexibility of a residential building with multiple distributed energy resources

Energy and Buildings, Journal Year: 2024, Volume and Issue: 305, P. 113884 - 113884

Published: Jan. 5, 2024

Language: Английский

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Dynamic building thermal mass clustering for energy flexibility assessment: An application to demand response events

Energy and Buildings, Journal Year: 2024, Volume and Issue: 308, P. 114011 - 114011

Published: Feb. 20, 2024

Demand response programs encompass a range of externally control strategies designed to modify consumer end-use load according specific grid demands. In the current renewable integration context, power systems need implement such demand provide energy flexibility during stress periods. Nevertheless, extensive adoption initiatives in building sector is confronted by notable obstacles, mainly due absence standardized assessment methods and metrics, lack established regulatory frameworks, all which hinder formation competitive asset portfolios. Indeed, quantification frameworks are not unified usually based on objectives indicators. this framework, paper proposes methodology cluster residential buildings analytical their dynamic thermal response, regardless boundary conditions (i.e., weather data, occupancies, …) type event. The proposed provides quick simple how expected respond under different events durations, critical for both customers agents decide select involvement each event potentially design personalized building. An analysis was conducted evaluate 28 real buildings, whose data were presented previous study. Results potential effectiveness application purposes clustering. Moreover, it can be concluded that possible deduce inertia available classification exclusively geometric characteristics building; being necessary consider duration involvement, since they highly influence behavior, thus, corresponding

Language: Английский

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Peer-to-peer energy sharing with demand-side management for fair revenue distribution and stable grid interaction in the photovoltaic community

Journal of Cleaner Production, Journal Year: 2022, Volume and Issue: 383, P. 135271 - 135271

Published: Nov. 25, 2022

Language: Английский

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