Economic energy supply using renewable sources such as solar and wind in hard-to-reach areas of Iran with two different geographical locations

Energy Strategy Reviews, Journal Year: 2024, Volume and Issue: 55, P. 101494 - 101494

Published: Aug. 29, 2024

Language: Английский

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Optimal design and energy management in isolated renewable sources based microgrid considering excess energy and reliability aspects

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 103, P. 114320 - 114320

Published: Oct. 30, 2024

Language: Английский

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ScaleNex: A Scalable Blockchain-Powered Electricity Market Implementation for Smart Grid Environment

Smart Grids and Sustainable Energy, Journal Year: 2024, Volume and Issue: 9(2)

Published: Nov. 25, 2024

Decentralized electricity markets in the smart grid environment enable energy exchange among prosumers, but current blockchain solutions face significant challenges related to scalability and privacy. Public blockchains raise privacy concerns, while permissioned often struggle scale. This paper presents ScaleNex, a novel blockchain-based market framework designed overcome these limitations. Leveraging Hyperledger Fabric, ScaleNex employs hierarchical multi-blockchain architecture that distributes operations across multiple blockchains, enhancing preserving end-user is achieved by assigning users implementations at three different jurisdictional levels geographical areas, utilizing aggregated orders are efficiently scaled using fuzzy logic facilitate transactions between thereby concealing information. A performance evaluation with 1,056 prosumers demonstrates throughput improvements of 5.7% 82% latency reductions up 50%, along enhanced compared existing solutions. These findings underscore potential for broader implementation offering an effective solution critical scalability, decentralized markets.

Language: Английский

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Load Scheduling Using Demand Response for Demand-Side Management in Smart Grid

Published: March 6, 2024

The advent of smart grids (SG) has provided residents the opportunity to incorporate renewable energy and demand response (DR) into electricity market for optimal demand-side management (DSM). This study introduces a generic DSM model featuring an Energy Consumption Scheduler (ECS) optimally schedule operation appliances. ECS leverages various optimization algorithms, including Particle Swarm Optimization (PSO), Genetic Algorithm (GOA), Wind-Driven (WDO), our developed Hybrid (HGWDO) algorithm, appliances under real-time DR. One key challenges in efficiently integrating RESs SG is their time varying intermittent nature. employs batteries smooth out fluctuations RE generation. Simulation results demonstrate that proposed approach solves achieves desired objectives utility bill payment, peak-to-average ratio (PADR) minimization compared existing models.

Language: Английский

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Operation optimization and performance evaluation of a ventilated heating floor in a nearly-zero-energy building with mixed power

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 90, P. 111804 - 111804

Published: April 29, 2024

Language: Английский

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