The Role of Distributed Energy Resources and Associated Business Models in the Decentralised Energy Transition: A Review

Hargroves, Karlson; James, Benjamin; Lane, Julia; Newman, Peter

doi:10.3390/en16104231

Cited by 12 publications

(4 citation statements)

References 51 publications

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“…Demand response is a change in the power consumption of an electric utility customer to better match the demand for power with the supply [71]. Demand response can be used to reduce peak demand, which can help to avoid blackouts and brownouts.…”

Section: Demand Responsementioning

confidence: 99%

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Global Models of Smart Cities and Potential IoT Applications: A Review

Hassebo,

Tealab

2023

IoT

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As the world becomes increasingly urbanized, the development of smart cities and the deployment of IoT applications will play an essential role in addressing urban challenges and shaping sustainable and resilient urban environments. However, there are also challenges to overcome, including privacy and security concerns, and interoperability issues. Addressing these challenges requires collaboration between governments, industry stakeholders, and citizens to ensure the responsible and equitable implementation of IoT technologies in smart cities. The IoT offers a vast array of possibilities for smart city applications, enabling the integration of various devices, sensors, and networks to collect and analyze data in real time. These applications span across different sectors, including transportation, energy management, waste management, public safety, healthcare, and more. By leveraging IoT technologies, cities can optimize their infrastructure, enhance resource allocation, and improve the quality of life for their citizens. In this paper, eight smart city global models have been proposed to guide the development and implementation of IoT applications in smart cities. These models provide frameworks and standards for city planners and stakeholders to design and deploy IoT solutions effectively. We provide a detailed evaluation of these models based on nine smart city evaluation metrics. The challenges to implement smart cities have been mentioned, and recommendations have been stated to overcome these challenges.

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Section: Demand Responsementioning

confidence: 99%

“…DERs are becoming increasingly important as the electricity grid becomes more decentralized. As more and more people generate their own electricity, DERs will play a key role in ensuring the reliability and resilience of the grid [71].…”

Section: Distributed Energy Resources (Ders)mentioning

confidence: 99%

Global Models of Smart Cities and Potential IoT Applications: A Review

Hassebo,

Tealab

2023

IoT

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“…The aim of this work is to develop a methodology to empower domestic consumers in managing their own energy resources. The novelty lies in locating the domestic consumer at the centre of the energy transition paradigm [13,14], engaging them in first-hand management of their own energy resources, such as their home renewable generation system, modifying their energy behaviour (demand flexibility), or using a storage system.…”

Section: Introductionmentioning

confidence: 99%

Demand-Side Management Method for Households with Self-Generation and Storage of Electricity

León-Martínez,

Andrada-Monrós,

Peñalvo-López

et al. 2024

Buildings

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The main objective is to propose a calculation method for assessing the benefits of individual domestic prosumers in self-consumption and economic savings when managing their own energy resources. The paper applies the demand-side management concept in the residential sector from the individual domestic perspective so that customers can understand the value of their own sustainable energy resources, conducting self-generation and demand management. The novelty lies in allowing the prosumer to manage their own energy resources to their benefit at a reasonable cost, instead of participating in automated large residential demand-side-management programmes that respond to the means of the grid system operator or other energy service companies, such as aggregators. A methodology for calculating the self-consumption rate and the economic benefit for the consumer is proposed, including three different cases: consumer demand is higher than self-generation, and consumer demand is equal to self-generation, and consumer demand is lower than self-generation. The methodology is validated with actual data from a household in Valencia (Spain) during a complete year, obtaining an average reduction in the annual electricity bill of 70% and a demand coverage with the self-renewable system reaching values of 80% throughout the year. The significance of this methodology goes beyond the economic revenue of the individual consumer; it also aims to guide consumers towards efficient practices in the use of their available energy resources and raise awareness on their energy behaviour.

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“…This transformation is driven by several interrelated factors that are fundamentally changing the way energy is produced, distributed, and consumed [3][4][5]. One of the main drivers of this transformation is the growing adoption of distributed energy resources (DER) [6]. DER includes various energy generation, storage, and management technologies located at or near the points of consumption, such as distributed generation (DG), energy storage systems (ESS), and demand response (DR).…”

Section: Introduction 1background and Motivationmentioning

confidence: 99%

A Stochastic Decision-Making Tool Suite for Distributed Energy Resources Integration in Energy Markets

Cantillo-Luna,

Moreno-Chuquen,

Celeita

et al. 2024

Energies

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Energy markets are crucial for integrating Distributed Energy Resources (DER) into modern power grids. However, this integration presents challenges due to the inherent variability and decentralized nature of DERs, as well as poorly adapted regulatory environments. This paper proposes a medium-term decision-making approach based on a comprehensive suite of computational tools for integrating DERs into Colombian energy markets. The proposed framework consists of modular tools that are aligned with the operation of a Commercial Virtual Power Plant (CVPP). The tools aim to optimize participation in bilateral contracts and short-term energy markets. They use forecasting, uncertainty management, and decision-making modules to create an optimal portfolio of DER assets. The suite’s effectiveness and applicability are demonstrated and analyzed through its implementation with heterogeneous DER assets across various operational scenarios.

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The Role of Distributed Energy Resources and Associated Business Models in the Decentralised Energy Transition: A Review

Cited by 12 publications

References 51 publications

Global Models of Smart Cities and Potential IoT Applications: A Review

Global Models of Smart Cities and Potential IoT Applications: A Review

Demand-Side Management Method for Households with Self-Generation and Storage of Electricity

A Stochastic Decision-Making Tool Suite for Distributed Energy Resources Integration in Energy Markets

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