Aggregator’s business models in residential and service sectors: A review of operational and financial aspects

Okur, Özge; Heijnen, Petra; Lukszo, Zofia

doi:10.1016/j.rser.2020.110702

Cited by 45 publications

(17 citation statements)

References 114 publications

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“…According to Campos do Prado et al [26], considerable investments aimed at efficiency and affordability have been made worldwide fostering higher acceptance rates of RES technologies, even though RES are not the most cost-effective power source from a power system perspective. To cope with the variability of electricity generation and uncertainty in RES generation forecasting, flexibility is introduced through aggregators [27].…”

Section: Economic Factors Of Aggregator Business Modelsmentioning

confidence: 99%

Integrated Risk Analysis of Aggregators: Policy Implications for the Development of the Competitive Aggregator Industry

et al. 2022

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One of the important goals of the EU is to ensure a secure, sustainable, and competitive energy system that is less dependent on external energy supply. Greater independence is planned to be achieved by diversifying energy sources, as well as investing in renewables and energy efficiency. One of the mechanisms is the demand response (DR) that provides a high level of energy independence for the consumer. In this paper, we explore perspectives of the development of DR with a mediating effect of the independent aggregators from an EU member state standpoint. We use a hybrid research methodology that combines instruments of strategic analysis, i.e., PESTLE framework and SWOT analysis, along with the integrated risk management framework in order to identify, evaluate and rank prominent risks to which this initiative is exposed. Interdependencies between the identified risk factors are also included and efficient mitigation measures are proposed. The findings of this exploratory research are aimed at developing the policies and strategies for the aggregators’ development in the medium term. The most emphasized risks detected in analysis are the investment risk, the legal risk, the risk of substitute technologies, the consumer behavior risk, the risk of opportunistic behavior and the risk of entry barriers.

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Section: Economic Factors Of Aggregator Business Modelsmentioning

confidence: 99%

Integrated Risk Analysis of Aggregators: Policy Implications for the Development of the Competitive Aggregator Industry

et al. 2022

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“…This type of innovation differs from other technological innovations in that it involves a continuous exchange of data between the customer and the service provider (Vendrell-Herrero et al, 2021). Product-service innovation can be found in enterprises that provide financial services to individuals and companies (Ma, et al, 2020;Okur et al, 2021).…”

Section: Information Technology and Managementmentioning

confidence: 99%

Barriers to the implementation of innovations in information systems in SMEs

Kapler

2021

Production Engineering Archives

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Information management and information flow is an important element in the strategy of developing and running a company. The need to supervise information makes it necessary to implement numerous innovations that improve the method of information management correlated with the proper reception, selection and analysis - in both external and internal information flow. This paper presents the results of research that allowed for the assessment of barriers that arise during the implementation of innovative solutions in small and medium-sized enterprises (service MSEs). On the basis of the conducted research, it was found that the mental barrier is not always crucial from the point of view of modern technologies implementation. And the determination to implement information management innovations may be forced by the necessity of the document exchange acceleration. The success of innovative solutions e.g. in the financial services industry (in SMEs) is closely related to the technological capabilities of the enterprise - the technological barrier is crucial in this type of enterprises. Especially, taking into account the assumption that employees are highly motivated to implement new products.

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“…Due to physical or contractual reasons, the power exchanged between the EV aggregator and the grid is bounded. These limits must be met under any possible status: charging in (6), discharging in (7) and idle in (8) and (9).…”

Section: Decision-making Problemmentioning

confidence: 99%

“…Regarding EVs, the work in [6] presents a discussion of different optimization approaches to face the EV charging, and [7] presents the framework, benefits, and challenges of V2G technology. An insight in operational and financial aspects of aggregator's business models is provided in [8], and the potential of a fleet of EVs, managed by an EV aggregator, to provide ancillary services is described in [9]. A thorough analysis of the value of the aggregators in a power system may be found in [10], where the authors conclude that regulators or policy makers should remove barriers to aggregation in those cases in which it creates a fundamental or transitory value.…”

Section: Introductionmentioning

confidence: 99%

A Robust Optimization Model to the Day-Ahead Operation of an Electric Vehicle Aggregator Providing Reliable Reserve

Jiménez-Marín

Pérez-Ruiz

2021

Energies

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This paper presents a robust optimization model to find out the day-ahead energy and reserve to be scheduled by an electric vehicle (EV) aggregator. Energy can be purchased from, and injected to, the distribution network, while upward and downward reserves can be also provided by the EV aggregator. Although it is an economically driven model, the focus of this work relies on the actual availability of the scheduled reserves in a future real-time. To this end, two main features stand out: on one hand, the uncertainty regarding the EV driven pattern is modeled through a robust approach and, on the other hand, a set of non-anticipativity constraints are included to prevent from unavailable future states. The proposed model is posed as a mixed-integer robust linear problem in which binary variables are used to consider the charging, discharging or idle status of the EV aggregator. Results over a 24-h case study show the capability of the proposed model.

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Aggregator’s business models in residential and service sectors: A review of operational and financial aspects

Cited by 45 publications

References 114 publications

Integrated Risk Analysis of Aggregators: Policy Implications for the Development of the Competitive Aggregator Industry

Integrated Risk Analysis of Aggregators: Policy Implications for the Development of the Competitive Aggregator Industry

Barriers to the implementation of innovations in information systems in SMEs

A Robust Optimization Model to the Day-Ahead Operation of an Electric Vehicle Aggregator Providing Reliable Reserve

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