Household Photovoltaic Research Articles

Research on energy storage capacity optimization of rural household photovoltaic system considering energy storage sharing.

With the promotion of the photovoltaic (PV) industry throughout the county, the scale of rural household PV continues to expand. However, due to the randomness of PV power generation, large-scale household PV grid connection has a serious impact on the safe and stable operation of the distribution network. Based on this background, this paper considers three typical scenarios, including household PV without energy storage, household PV with distributed energy storage, and household PV with centralized energy storage. Then, a calculation model for PV local consumption rate and annual net cost under different scenarios is constructed. Combined with a natural village in Shandong Province, the PV local consumption rate and annual net cost under three scenarios are compared and analyzed, and the potential of energy storage sharing in reducing storage capacity and improving PV local consumption is explored. The results show that configuring energy storage for household PV can significantly improve the power self-balancing capability. When meeting the same PV local consumption, household PV centralized energy storage can achieve smaller energy storage configuration and lower cost compared to household PV distributed energy storage. Finally, suggestions are proposed to further promote the development of household PV energy storage system. The research results can provide reference for improving the local consumption of rural household PV and accelerating the application of household PV energy storage system.

Second-Life Electric Vehicle Batteries for Home Photovoltaic Systems: Transforming Energy Storage and Sustainability

Solar-based home PV systems are the most amazing eco-friendly energy innovations in the world, which are not only climate-friendly but also cost-effective solutions. The tropical environment of Malaysia makes it difficult to adopt photovoltaic (PV) systems because of the protracted rainy monsoon season, which makes PV systems useless without backup batteries. Large quantities of lithium-ion battery (LIB) trash are being produced by the electric vehicle (EV) sector. A total of 75% of the highest capacity levels have been discarded. By 2035, it is predicted that the wasted LIBs held as a result of expensive recycling and difficult material separation would carry up to 1200 GWh. An economical and sustainable option is offered by our study, which prototypes a replicated LIB pack that is incorporated into a PV home system. This study investigates the transformational power of second-life electric vehicle batteries (SLEVBs) when incorporated into home photovoltaic (PV) systems. The concept entails reusing existing electric vehicle batteries for stationary applications, offering a unique approach to extending the life of these batteries while meeting the growing need for sustainable domestic energy storage. The study looks at the technological feasibility, economic viability, and environmental effect of introducing SLEVBs into household PV systems, giving vital insight into their role in revolutionizing energy storage techniques and promoting sustainability. In comparison to the Lead–Acid Battery (LAB) system, the SLEVB system has a cheaper total cost of ownership, with savings of 12.62% compared with new LABs. A CO2 emission reduction of at least 20% is achieved by using the SLEVB system compared with LABs. Electricity can be provided in houses in rural areas where there is no electricity. As a result, the security and superiority of the life of rural residents will improve. It is anticipated that the suggested strategy will lower EV pricing, enabling EV adoption for M40 and B40 groups. Consequently, the Malaysian and worldwide EV business will remain viable.

Mapping of Household Photovoltaic Research in Indonesia: A literature review using bibliometric analysis

This research aims to undertake a bibliometric study on household photovoltaics within the Indonesian context. The objectives include mapping the global trends in publications related to household photovoltaics, mapping the trends within the Indonesian context, analyzing the performance of authors, affiliations, sources, and papers, identifying research hot topics, and determining research themes. This study utilized 122 Scopus-indexed articles. The findings reveal an increasing trend in the number of publications on household photovoltaics both globally and within the Indonesian context. In the Indonesian context, Tarigan, E stands out as the most relevant author, the University of Indonesia emerges as the most relevant affiliation, IOP Conference Series: Earth and Environmental Science leads as the most relevant source, Renewable Energy takes the lead as the most influential source, and article title ’Energy and Economic Losses Caused by Dust on Residential Photovoltaic (PV) Systems Deployed in Different Climate Areas,’ stands out as the most influential. This study identified five themes as hot topics (Photovoltaic Quality and Performance, Economic Analysis of Photovoltaic Systems, Net Metering and Inverter of Rooftop Photovoltaic in Indonesia, Monitoring System of Residential Solar Panels, and Technical and Economics of Solar Power Plants) and four research themes (The Adoption of Household Rooftop Photovoltaics and Influencing Factors, Design and Planning for Rooftop Solar Panel Deployment, Rooftop Photovoltaics Adoption and Renewable Energy Targets, and Economic Analysis of Rooftop Photovoltaic).

Exploring the potential impact of household photovoltaic systems on low-carbon production behavior in rural areas: unveiling the pro-environmental spillover effect

Introduction: China, as the world’s largest emitter of carbon dioxide, faces significant challenges in agricultural greenhouse gas emissions. The Chinese government has been actively promoting household photovoltaic (PV) power generation, which has great potential for application in rural areas. This study aims to explore whether the promotion of household PV systems in rural areas has a positive impact on farmers’ low-carbon production behavior and to analyze the influencing factors and mechanisms. This research fills the research gap in the analysis of the promotion of household PV systems and farmers’ low-carbon production behavior, providing scientific evidence to support policymakers in promoting widespread use of household PV systems and facilitating the transition of farmers to low-carbon production methods.Methods: This study adopts a qualitative research method and analyzes interview data and semi-structured questionnaire survey data from 48 farmers. By collecting, organizing, comparing, and extracting information and employing the research process of grounded theory, the researchers summarize the model of household PV-driven low-carbon production behavior.Results: The study finds that the installation of household PV systems indeed promotes farmers to adopt more low-carbon production behaviors. Farmers who install household PV systems show a greater willingness to reduce the use of fertilizers and pesticides, conserve water resources, and improve land utilization, among others. They perceive the positive effects of household PV systems and their own capacity for environmental protection, enhancing confidence and motivation to engage in low-carbon production behaviors.Discussion: Existing research methods have mainly relied on theoretical deduction combined with quantitative empirical approaches when exploring farmers’ pro-environmental spillover behaviors. However, these methods often start from the perspectives of either egoism or altruism, resulting in biased tendencies toward negative spillover or positive spillover. Nevertheless, neither egoism nor altruism fully captures the decision-making process when deeply understanding farmers’ production, life, and decision-making processes. The installation of household PV systems can change factors such as farmers’ knowledge, skills, cognition, and resources, enhancing their green self-efficacy and helping them acquire more knowledge and skills in renewable energy. Therefore, this research adopts a qualitative research method to more accurately reflect farmers’ decision-making process and provides practical recommendations to promote farmers’ active transition to pro-environmental spillover behaviors.Conclusion: This study fills the research gap in the analysis of the promotion of household PV systems and farmers’ low-carbon production behavior, providing practical recommendations for policymakers to facilitate farmers’ positive behavioral changes. Qualitative research methods enable a more realistic understanding and promotion of farmers’ pro-environmental spillover behaviors by deeply understanding their contexts. The study offers targeted suggestions to policymakers to drive farmers’ transition to low-carbon production methods.

Planning of the Optimal Performance of Household Photovoltaics and Battery Storage within Consideration of Investment Return

Planning of the Optimal Performance of Household Photovoltaics and Battery Storage within Consideration of Investment Return

Design and application of an information interaction device for household photovoltaic inverters

The rapid growth of household photovoltaics poses a significant challenge to the safe operation of distribution networks. To enable the unified monitoring of household photovoltaic inverters by power grid companies, this paper introduces an information interaction device for household photovoltaic inverters based on high-speed power line carrier communication and high-speed radio frequency communication. The study begins by analyzing the information access architecture of the household photovoltaic inverter, followed by a presentation of the hardware and software design of the information interaction device. Subsequent experiments conducted at various photovoltaic stations demonstrate an impressive 98% success rate for information interaction, highlighting the device’s robust reliability.

Unsupervised photovoltaic installation date detection method based on interpretable characteristics

With the vigorous development of new energy, more and more distributed household photovoltaics are connected to the distribution network. However, the high proportion of household photovoltaics can have many impacts on the operation of the distribution network. The power department needs to register users who have installed photovoltaics. However, due to the large user base and the high resource consumption of existing investigative methods, this article proposes an unsupervised photovoltaic installation date detection method based on interpretable characteristics. Firstly, a set of interpretable characteristics is proposed and characteristic extraction is performed on user electricity data. Then, based on interpretable characteristics, user electricity consumption patterns are clustered. Finally, the date when the user’s electricity consumption patterns change is captured to determine the user’s photovoltaic installation date. The simulation results show that the proposed method can correctly identify all photovoltaic installation dates within 10 days, which is in line with practical applications and policy requirements. It has certain practical significance and theoretical value for the development of photovoltaic installation date detection applications.

Improved vµ-LMS-Controlled Single-Phase Grid Tied PV Powered Electric Vehicle Battery System with High Gain DC-DC Converter and Power Management

The increasing solar photovoltaic (PV) and EV charging applications create power quality issues at utility grid. It requires efficient control thus, in this paper, single-phase grid-tied PV powered electric vehicle battery (EVB) system is proposed with reliable control and power management. The presented work offers efficient EVB charging either from PV power or utility to handle PV impacts on the utility. During peak power demand, the proposed power management offers less burden on utility and allows EVB to feed increased load along with changing PV power. In work, a recent high-gain DC-DC boost converter topology is utilized thereby making smaller household PV arrays in grid-tied mode with DC-AC voltage source converter (VSC). Moreover, a new improved variable step-parameter ‘µ’ least mean square (IvµLMS) adaptive control is proposed and compared for efficient control of VSC with various nonlinear load and PV irradiance variations. The IvµLMS offers good convergence, less burden on controller and improved dynamic responses under various conditions. As per IEEE-519 standard, the PV power is fetched to grid at unity power factor (UPF) with low total harmonic distortion (THD). The proposed grid tied EVB system, and its controls are modelled in MATLAB/Simulink environment and test results are analyzed and validated on a laboratory prototype.

The role of rural cooperatives in the development of rural household photovoltaics: An evolutionary game study

Promoting photovoltaics (PV) in rural households is a crucial step towards green development and rural revitalization. The current practice negatively affects the profit margins of rural households, creating a challenge in balancing efficiency and equity. This paper utilizes evolutionary game theory to construct a bipartite evolutionary game model involving enterprise and rural households, and a tripartite model involving enterprise, rural households, and rural PV cooperatives. We then investigate the strategic behavior and choices of stakeholders and examine the evolutionary trajectory of the system under different parameters based on numerical simulations. Results show that the rural PV cooperatives can increase the strategic choices of enterprises by reducing their market entry costs. The rural PV cooperatives also increase the expected profits of enterprises, rural households, and total social welfare. Our findings suggest that rural PV cooperatives may encourage the adoption of rural household PV and provide insights to balance efficiency and equity.

Does the Pro-Environmental Behavior of Household PV Installation Contribute to the Shaping of Users' Green Purchasing Behavior?-Evidence from China.

In order to achieve the "dual carbon goal", the Chinese government is actively encouraging the adoption of household photovoltaic (PV) systems. While there has been considerable research on residents' inclination to install PV, limited attention has been given to understanding how the installation and utilization of PV systems influence pro-environmental behaviors. Therefore, this paper aims to investigate the potential impact of pro-environmental behavior resulting from household PV installation on users' green purchasing behavior. Based on the "learning by doing" theory, a survey was conducted with 1249 participants, and the generalized structural equation model was employed as our analytical approach. The findings of this research indicate that the adoption and utilization of household photovoltaic (PV) systems have a positive impact on green consumption. The test results demonstrate that the overall effect coefficient is 0.03, indicating that current PV promotion policies have an indirect impact on green consumption. Moreover, economic incentive policies have a more substantial influence than environmental publicity policies, with total indirect effect coefficients of 0.005 and 0.002, respectively. Based on the findings above, the following recommendations are proposed: (1) It is recommended to maintain stable economic incentives to promote the adoption of household PV systems. (2) Emphasizing the dissemination of knowledge and skills for promoting environmental protection should be prioritized. (3) Efforts should be made to align personal interests and societal interests with low-carbon policies.

A GIS Open-Data Co-Simulation Platform for Photovoltaic Integration in Residential Urban Areas

• Advanced co-simulation of rooftop PV production and households electricity demand. • Urban Energy Systems design and RES integration in the context of future smart cities. • Enabling considerations on Demand Side Management and Demand Response strategies. • High spatio-temporal resolution (25 cm and 10 minutes respectively) • Integration in a GIS environment of open-data and models. The rising awareness of environmental issues and the increase of renewable energy sources (RES) has led to a shift in energy production toward RES, such as photovoltaic (PV) systems, and toward a distributed generation (DG) model of energy production that requires systems in which energy is generated, stored, and consumed locally. In this work, we present a methodology that integrates geographic information system (GIS)-based PV potential assessment procedures with models for the estimation of both energy generation and consumption profiles. In particular, we have created an innovative infrastructure that co-simulates PV integration on building rooftops together with an analysis of households’ electricity demand. Our model relies on high spatiotemporal resolution and considers both shadowing effects and real-sky conditions for solar radiation estimation. It integrates methodologies to estimate energy demand with a high temporal resolution, accounting for realistic populations with realistic consumption profiles. Such a solution enables concrete recommendations to be drawn in order to promote an understanding of urban energy systems and the integration of RES in the context of future smart cities. The proposed methodology is tested and validated within the municipality of Turin, Italy. For the whole municipality, we estimate both the electricity absorbed from the residential sector (simulating a realistic population) and the electrical energy that could be produced by installing PV systems on buildings’ rooftops (considering two different scenarios, with the former using only the rooftops of residential buildings and the latter using all available rooftops). The capabilities of the platform are explored through an in-depth analysis of the obtained results. Generated power and energy profiles are presented, emphasizing the flexibility of the resolution of the spatial and temporal results. Additional energy indicators are presented for the self-consumption of produced energy and the avoidance of CO 2 emissions.

Operation Simulation and Economic Analysis of Household Hybrid PV and BESS Systems in the Improved TOU Mode

With the popularization of electric vehicles and electric boilers, household electricity consumption will increase significantly. Household hybrid photovoltaic (PV) systems and battery energy storage systems (BESSs) can supply increasing household electricity consumption without expanding the existing distribution network. This paper validates the technical feasibility of connecting a large number of household power users that contain BESSs and PVs in a distribution line by a simulation in Matlab. In addition to technical feasibility, this article improves the time-of-use (TOU) form to achieve economic feasibility (covering equipment costs). In the past, the TOU was set from the perspective of the load demand of the grid, but the actual user participation would affect this effect. In this paper, based on a social science survey, a new three-level rate TOU is introduced, which has little impact on residents’ lifestyle, to effectively increase the response frequency effectively. Combined with the improved TOU and the state of PVs, the BESS control mode is set for simulation. To compare the three-tier rate TOU with the normal TOU tariff and select the best household BESS size, a MATLAB simulation is used to simulate the common household BESS capacity. The results indicate that the combination of the three-tier rate TOU with a 4 kWh household BESS can afford the investment of household PVs and BESSs. The high cost issue that previously primarily limited the true use of BESSs is expected to be resolved.

Configuration optimization of energy storage and economic improvement for household photovoltaic system considering multiple scenarios

Household photovoltaic (PV) is booming in China. In 2021, household PV contributed 21.6 GW of new installed capacity, accounting for 73.8 % of the new installed capacity of distributed PV. However, due to the randomness and intermittency of PV power generation, large-scale household PV grid connection has a serious impact on the safe and stable operation of the distribution network. Based on this background, this paper considers different application scenarios of household PV, and constructs the optimization model of energy storage configuration of household PV with the annual net profit as the optimization goal. Taking a natural village in China as an example, the improved particle swarm optimization algorithm is used to solve the optimal energy storage capacity, power and typical daily energy storage output. According to the optimization results, the operation effects and economic benefit indicators of the household PV system and the household PV storage system in different scenarios are compared and analyzed. The results show that the configuration of energy storage for household PV can significantly reduce PV grid-connected power, improve the local consumption of PV power, promote the safe and stable operation of the power grid, reduce carbon emissions, and achieve appreciable economic benefits. Finally, some suggestions are put forward to further promote the development of household PV storage system. The research results can provide reference for promoting the sustainable development of household PV, ensuring the smooth implementation of distributed PV development pilot project in China, and accelerating the application of household PV storage system.

A Comparative Examination of the Electricity Saving Potentials of Direct Residential PV Energy Use in European Countries

The increasing global penetration of photovoltaic (PV) technology creates not only enormous opportunities for clean energy production but also poses challenges that put energy systems to the test. Although there are many ways of dealing with the rising share of PV energy, most of these solutions require substantial funding, time, and effort to implement, which highlights the importance of solving some of the issues at their source, i.e., through the direct use of the electricity generated at PV power plants, many of which are owned and operated by households. In recent decades, PV technology has experienced an unprecedented growth in Europe due to a range of reasons, including the nations’ policies and supporting schemes. The goal of the present research was to determine the annual consumption of electricity per capita in the households of certain European countries and how much of this can be covered by the direct use of PV energy in the case of an on-grid PV system and to show what the annual potential of the direct use of PV energy is compared to the annual energy production of the PV systems. The significance and novelty of this research is justified by the lack of comparative scientific studies related to the annual potential of the direct household use of PV energy, which could alleviate some of the problems facing electricity networks with high shares of PV energy. The novel practical benefit of the study was determining, for the examined European countries, the extent to which direct household PV energy use could lower annual electricity consumption from the grid, in the case of on-grid PV systems of different capacities. In addition, these findings also provide information related to the grid’s macro-energy systems in terms of local network load effects related to given investment sizes.

Stochastic Nonlinear Model Predictive Control for a Switched Photovoltaic Battery System

Battery systems gain popularity among users in residential household setups. In this setup, currently the main source of profitability is to increase photovoltaic (PV) self-sufficiency which is highly dependent on the battery system efficiency. We present a control approach based on stochastic dynamic programming (SDP) suitable to increase the system efficiency. The optimization framework includes a switched system with standby losses, a nonlinear modeling of the converter losses as well as a stochastic forecast model for household load and PV generation. We show in a simulation of a typical benchmark case that our approach can in fact reduce overall system losses and costs of operation. Then, the applicability in a real-world scenario is shown using a commercially available battery system in a field test.

Financial Analysis of Household Photovoltaic Self-Consumption in the Context of the Vehicle-to-Home (V2H) in Portugal

This paper focuses on the purpose to see if it is possible to increase the earnings associated to the installation of PV systems in people’s homes. In accordance with this, a different way of thinking was adopted, namely the investment in batteries to maximize the energy earnings. The main problem of this classical approach is that the investment in those batteries is important. In this way, a different perspective was taken into account, namely the use of the electrical vehicles. This kind of vehicles is starting to become a real reality. In fact, the selling of these vehicles start to become a solution for the ordinary people, and it is expected in a very near future to be a reality for most of them. Thus, this study presents the use of a storage system based on the vehicle-to-home (V2H) technology for the people’s homes. The V2H availability varies among prosumers profile regarding the daily routines, weather conditions, and business aspects, besides other aspects. These profiles were combined with different power panels with and without injection into the grid. The costs of each configuration considering a residential consumer located in Portugal, as well as, their peak solar hours in a year were estimated. From this study, it will be possible to verify that the obtained economical results show that the usage of V2H as storage system based on batteries for modern homes is very attractive.

Shading Fault Detection Method for Household Photovoltaic Power Stations Based on Inherent Characteristics of Monthly String Current Data Mapping

Shading Fault Detection Method for Household Photovoltaic Power Stations Based on Inherent Characteristics of Monthly String Current Data Mapping

Consumers’ Willingness to Pay for the Solar Photovoltaic System in the Post-Subsidy Era: A Comparative Analysis under an Urban-Rural Divide

Concerns about the environment and renewable energy are growing. Improving the perception of renewable energy in urban and rural households is required to promote green development and to learn about consumer preferences for renewable energy based on the gradual reduction in financial subsidies for photovoltaic (PV) power generation. This paper aims to estimate the willingness of consumers to pay for a Household PV system and explores the factors that affect consumers’ product selection, which is conducive to optimizing Household PV products and policies and is important for achieving the carbon peaking and carbon neutrality goals. Using a discrete choice model, this paper surveyed 765 urban and rural residents without installing Household PV systems in Tianjin, China. Subsequently, the respondents’ attribute preferences and willingness to pay (WTP) for a Household PV system were analyzed using a logit regression analysis model. The influence of respondents’ socio-economic characteristics on WTP was analyzed. The empirical results showed that (1) price significantly impacts consumers’ PV adoption behaviors and consumers tend to choose cheaper PV products; (2) consumers are more willing to pay for the after-sales service (3959 USD/level) and traceable information (2176 USD/level), indicating their preference for these two attributes when considering options; (3) socio-economic variables, including gender and the number of minor children (i.e., children under the age of 18) at home, significantly impact consumers’ PV adoption behaviors. Males and consumers without minor children at home will pay more attention when selecting the products. Our research findings will provide valuable insights into policy making and the wide-ranging use of Household PV systems.

A two‐stage energy management strategy for household microgrids considering the influence of electric vehicle travel characteristics and daylight hours

AbstractWe propose a two‐stage energy management strategy for household microgrids to improve their operational efficiency and economic benefits by making full use of the time‐of‐use electricity price and considering the impact of temporal and spatial uncertainty of electric vehicles (EVs) and different sunshine hours on household photovoltaic (PV). The strategy combines the time‐sharing tariff period and the travel time of EVs to make full use of the dual attributes of EVs as both load and generation units. Particle swarm algorithm is used to optimize the household PV output, EV and storage system charging/discharging strategies, and the energy interaction between the microgrid and the main network. This algorithm guides the household microgrid to achieve the optimal economic operation while cutting the peaks and filling the valleys of the main network to realize the efficient allocation of power resources. Finally, three typical scenarios are used for optimization, and the results show that the proposed energy management strategy can provide savings of 1,413.02, 1,026.94 and 929.19 yuan per day under the three scenarios analyzed, respectively, which verifies the effectiveness and rationality of the model. A sensitivity analysis is also conducted.

Characterizing the Danish energy prosumer: Who buys solar PV systems and why do they buy them?

Lower costs and stop-go policy around 2012 created two distinct groups of households with solar photovoltaics (PVs) in Denmark – a large group of early adopters (annually metered), and a smaller group of later adopters (hourly/real-time metered).This paper analyses these groups to characterize Danish PVs prosumer households and identify why they bought PVs.A comparison of a full population of 73,974 Danish household PVs owners (registered as of 2015) with other households shows that adopters tended to have higher incomes, be older, live in rural areas, have newer houses, and use individual heating (e.g. heat pumps). Moreover, the registered owners of PVs tended to be technically educated men.A 2018 survey of 2505 PVs owners indicates that later adopters were slightly more inspired by peers, whereas early adopters were more inspired by news articles and sales drives. Moreover, independence, financial gains, and displaying proenvironmental action are identified as motivations to adopt PVs.This paper concludes that technically educated men seem to dominate the decisionmaking process and that Danish energy prosumers seem to share (more or less) the same characteristics and motivations as PVs adopters in other contexts despite the distinct diffusion pattern in Denmark.