A new approach to sizing the photovoltaic generator in self-consumption systems based on cost–competitiveness, maximizing direct self-consumption

Talavera, D.L.; Muñoz-Rodríguez, Francisco José; Jiménez-Castillo, Gabino; Rus-Casas, C.

doi:10.1016/j.renene.2018.06.088

Cited by 86 publications

(35 citation statements)

References 31 publications

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“…The LCOE (€/kWh) is defined as the constant cost of generating a unit of PV elecricity, levelled throughout its entire life cycle and referenced to the year in wich the investment is made [19,25]. The LCOE approach considers overall installation costs occurring during the project lifespan (the initial investment cost and the annual operation and maintenance costs) and the associated energy production [26].…”

Section: Levelised Cost Of Electricitymentioning

confidence: 99%

Assessing E3 impacts of RES integration using residential consumer’s willingness to invest in PV systems

Figueira¹,

Coelho²,

Lopes³

2020

EAI Endorsed Transactions on Energy Web

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This paper presents an assessment of the Economic, Energy and Environmental (E3) impacts of different scenarios related to the penetration of renewable energy systems in an urban context. For this purpose, Coimbra, a medium sized Portuguese city, has been chosen as decision-making set. The results of a survey aiming at analysing and evaluating the perceptions and willingness to invest in residential photovoltaic systems, along with a technical and economic evaluation of different photovoltaic systems focusing on the installed power, together with the data characterizing the housing stock of the city, have been used for the definition and analysis of three scenarios. The obtained results, pointing to a relatively small contribution from the photovoltaic component to the overall city residential electricity consumption, may be considered by electricity operators and can help policy-makers to define stronger measures to support the installation of residential renewable energy systems.

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Section: Levelised Cost Of Electricitymentioning

confidence: 99%

Assessing E3 impacts of RES integration using residential consumer’s willingness to invest in PV systems

Figueira¹,

Coelho²,

Lopes³

2020

EAI Endorsed Transactions on Energy Web

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“…Therefore, it is This growing inclusion of photovoltaic self-consumption systems in the electricity market must be supported by monitoring systems which check the performance analysis of this type of system in real time, providing end-users with confidence in this technology. This task will be performed by monitoring systems that must provide detailed information on the operation of the system [31][32][33][34].…”

Section: Introductionmentioning

confidence: 99%

Development of a Prototype for Monitoring Photovoltaic Self-Consumption Systems

et al. 2020

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Currently, the increasing energy consumption around the world and the environmental impact resulting from the use of fossil fuel-based energy have promoted the use of renewable energy sources such as photovoltaic solar energy. The main characteristic of this type of energy is its unpredictability, as it depends on meteorological conditions. In this sense, monitoring the power generation of photovoltaic systems (PVS) in order to analyze their performance is becoming crucial. The purpose of this paper is to design a monitoring system for a residential photovoltaic self-consumption system which employs an Internet of Things (IoT) platform to estimate the photovoltaic power generation according to solar radiation and temperature. The architecture of the developed prototype will be described and the benefits of providing the use of IoT for monitoring will be highlighted, since all data collected by the data acquisition system (DAS) may be stored in the Cloud. The comparison of the results with those of other monitoring systems was very positive, with an uncertainty that complies with the IEC61724 standard.

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“…Based on the state-queuing model, a renewable energy output tracking control algorithm was put forward in [16] to consume renewable energy. To maximize the direct self-consumption of photovoltaic power, [17] proposed a new method to determine the power generation of photovoltaic generators based on the cost-competitiveness. A logarithmic mean divisia index method was proposed in [18], proving that urbanization had a positive effect on the growth of renewable energy consumption.…”

Section: Introductionmentioning

confidence: 99%

Smart Community Energy Cost Optimization Taking User Comfort Level and Renewable Energy Consumption Rate into Consideration

Shi

Gong

et al. 2019

Processes

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With the rapid development of smart community technologies, how to improve user comfort levels and make full use of renewable energy have become urgent problems. This paper proposes an optimization algorithm to minimize daily energy costs while considering user comfort level and renewable energy consumption rate. In this paper, the structure of a typical smart community and the output models of all components installed in the community are introduced first. Then, the characteristics of different types of loads are analyzed, followed by defining the coefficients of user comfort level. In this step, the influence of load-scheduling on user comfort level and the renewable energy consumption rate is emphasized. Finally, based on the time-of-use gas price, this paper optimizes the daily energy costs for an off-grid community under the constraints of the comfort level and renewable energy consumption rate. Results show that scheduling transferable loads and interruptible loads are not independent to each other, and improving user comfort level requires spending more money as compensation. Moreover, fully consuming renewable energy has side effects on energy bills and battery lifetime. It is more conducive to system economy and stability if the maximum renewable energy consumption rate is restricted to 95%.

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A new approach to sizing the photovoltaic generator in self-consumption systems based on cost–competitiveness, maximizing direct self-consumption

Cited by 86 publications

References 31 publications

Assessing E3 impacts of RES integration using residential consumer’s willingness to invest in PV systems

Assessing E3 impacts of RES integration using residential consumer’s willingness to invest in PV systems

Development of a Prototype for Monitoring Photovoltaic Self-Consumption Systems

Smart Community Energy Cost Optimization Taking User Comfort Level and Renewable Energy Consumption Rate into Consideration

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