Potential estimation of rooftop photovoltaic with the spatialization of energy self-sufficiency in urban areas

Sun, Lijian; Chang, Yinghui; Wu, Yuxuan; Sun, Yi; Su, Deguo

doi:10.1016/j.egyr.2022.03.035

Cited by 17 publications

(10 citation statements)

References 23 publications

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“…Jurasz et al [16] have evaluated the PV introduction potential in 1-km 2 mesh units in a city and calculated the selfsufficiency rate based on the ratio of houses and factories in each mesh. Sun et al [17] have proposed a framework for the geospatial PV potential assessment of urban buildings with geographic information. These case studies evaluated the effect of PV generation on CO 2 -emission reduction and the cost of investing in solar power generation to supply the entire city for a long period.…”

Section: Literature Reviewmentioning

confidence: 99%

“…O'Connell et al [12] have suggested that planned increases or reductions in power demand according to the demand response (DR) can enhance local energy self-sufficiency; the DR potential depends on the availability of easily controllable energy appliances such as air conditioners and lighting, and therefore, information on the pure demand may help quantify such controllability [13,14]. Additionally, information on pure power generation is useful for supporting electricity flexibility through Peer-to-Peer (P2P) trading between prosumers [4,15] and estimating the additional potential of DERs [5,[16][17][18][19]. For example, Rao et al [15] have proposed a framework for P2P power trading in a locality electricity market for self-interested smart residential prosumers.…”

Section: Introduction 1| Motivationmentioning

confidence: 99%

“…Sun et al. [17] have proposed a framework for the geospatial PV potential assessment of urban buildings with geographic information. These case studies evaluated the effect of PV generation on CO 2 ‐emission reduction and the cost of investing in solar power generation to supply the entire city for a long period.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Forecast of area‐scale behaviours of behind‐the‐metre solar power and load based on smart‐metering net demand data

et al. 2023

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Local energy self‐sufficiency, in which the supply and demand of electricity are controlled such that the generated power from distributed energy resources (DERs) is consumed locally based on a power supply‐and‐demand forecast, mitigates the burden on the power system and contributes to the efficient use of DERs in smart cities. However, widely available smart metres cannot measure behind‐the‐metre pure demand and generation from prosumers. Pure demand and generation forecasts without additional metering contribute to advanced supply‐and‐demand control in smart cities, including demand response. This study proposes a method of forecasting spatio‐temporal behaviours of behind‐the‐metre pure demand and generation by focussing on the information of net demand distribution observable from the smart metres; the proposed method initially predicts the spatio‐temporal net demand distribution with a combined forecaster based on the persistence and non‐parametric regression models, and then separately estimates the behind‐the‐metre pure demand and generation by using demand forecast result of neighbouring pure‐consumers extracted by considering the area‐scale behaviours of the smart metering data. The simulation results demonstrate that the proposed method provides accuracy comparable to forecasts conducted by directly measuring pure demand and generation, without requiring the installation of additional metres.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introduction 1| Motivationmentioning

confidence: 99%

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Forecast of area‐scale behaviours of behind‐the‐metre solar power and load based on smart‐metering net demand data

et al. 2023

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“…This paper identified five out of eight land use types, which are residential, industrial, administration, and public services, commercial and business facilities, logistics and warehouse [12], and calculated the rooftop area for each land use type, then aggregated to get the sum value for 21 cities respectively. And a 70% of rooftop area utilization rate was used to obtain the available rooftop area for PV installation [13].…”

Section: Pv Technical Potential Estimationmentioning

confidence: 99%

The Energy-Economic-Environmental Multi-benefits of Urban Rooftop Photovoltaic Integrated with Electric Vehicles System

Liya¹,

Xue²,

Liu³

et al. 2022

Preprint

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PV integrated with EVs has become a promising way of utilizing PV generation in urban areas towards low carbon future. This paper aims to evaluate the technical and economic potentials of rooftop PV system integrated with EVs in 21 cities in Guangdong province, China, as well as the energy-economic-environmental effects of the PV+EV system, and shed light on how PV+EV system can be deployed within a region. The results show that PV+EV systems are cost-effective in all cities in the Guangdong province, EVs can increase the PV utilization in each city, making cities less dependent on external energy sources, reducing costs for the whole society, and providing more CO 2 emission reductions for most cities. However, cities vary in performance of PV potential and development capabilities, which should be taken into account in overall regional development plan.

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“…In South Korea, three evaluation standards exist: building energy efficiency grades, energy self-sufficiency rates, and evaluation methods that use Building Energy Management Systems (BEMSs) or remote metering electronic meters. Many studies have used the energy self-sufficiency rate as an evaluation indicator to assess energy efficiency [23][24][25][26][27][28][29][30][31][32][33]. The energy self-sufficiency rate refers to the ability to meet the energy demand using a certain degree of local energy sources [34].…”

Section: Introductionmentioning

confidence: 99%

Comparative Analysis of Estimated and Actual Power Self-Sufficiency Rates in Energy-Sharing Communities with Solar Power Systems

Kim,

Jang,

Choi

2023

Energies

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Amid the ongoing climate crisis, the international community is enacting policies to promote low-carbon energy-sharing communities. The primary objective of such communities is to enhance community-level energy self-sufficiency. Accurate energy self-sufficiency assessments are paramount in planning energy-efficient architectural designs, urban landscapes, and communal environments. In this study, the energy self-sufficiency rate of an energy-sharing community was estimated at the design stage and compared with the actual energy self-sufficiency rate calculated based on data collected over the following year (April 2022 to March 2023). The outcomes reveal that the estimated energy self-sufficiency rate is 171%, whereas the realized rate is 133%, underscoring the disparity between the projections and outcomes. An analysis of the seasonal variations in these discrepancies elucidated a correlation between the differences in the insolation levels between standard typical meteorological year (TMY) data that are conventionally used for energy generation projections and the actual meteorological conditions. Moreover, a notable incongruity surface exists between the monthly average electricity consumption of a standard four-person household, as stipulated by the Korean Electric Power Corporation (KEPCO) at 273 kWh, and the empirical power consumption at 430 kWh, resulting in a variance of approximately 157 kWh. This study illuminates the complex relationship between variables affecting energy self-sufficiency in energy-sharing communities. It serves as a crucial step towards informed decision making and precision in sustainable urban energy solutions.

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Potential estimation of rooftop photovoltaic with the spatialization of energy self-sufficiency in urban areas

Cited by 17 publications

References 23 publications

Forecast of area‐scale behaviours of behind‐the‐metre solar power and load based on smart‐metering net demand data

Forecast of area‐scale behaviours of behind‐the‐metre solar power and load based on smart‐metering net demand data

The Energy-Economic-Environmental Multi-benefits of Urban Rooftop Photovoltaic Integrated with Electric Vehicles System

Comparative Analysis of Estimated and Actual Power Self-Sufficiency Rates in Energy-Sharing Communities with Solar Power Systems

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