Impacts of different data averaging times on statistical analysis of distributed domestic photovoltaic systems

Widén, Joakim; Wäckelgård, Ewa; Paatero, Jukka; Lund, Peter

doi:10.1016/j.solener.2010.01.011

Cited by 50 publications

(26 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…These differences are higher for minimum values (up to 63%), delivered energy, than for the maximum values (up to 15%), exported energy. These results are consistent with previous findings showing that averaging has higher impacts on delivered than exported energy [25]. The explanation for this is that for PV power generation the fluctuations are deviations (due to cloud movements) from a well-defined maximum clear-sky radiation.…”

Section: Grid Citizenship Toolsupporting

confidence: 92%

“…Averaging move these high peaks closer to the base load. The results in [25] also shows that despite high impacts of averaging on individual building loads, the impacts on the aggregate load of a building cluster are lower (mainly for net delivered power), since random coincidence smoothens the load. It was found that in simulations of a distribution grid, the simulated voltage levels were robust to averaging of individual load profiles since the voltages depend mainly on the total power flow, to which a big cluster of buildings contributes.…”

Section: Grid Citizenship Toolmentioning

confidence: 87%

See 1 more Smart Citation

Analysis Of Load Match and Grid Interaction Indicators in NZEB with High-Resolution Data

Salom¹,

Marszal²,

Candanedo³

et al. 2014

Self Cite

View full text Add to dashboard Cite

A Net Zero Energy Building (Net ZEB) is succinctly described as a grid-connected building that generates as much energy as it uses over a year. The "Net Zero" balance is attained by applying energy conservation and efficiency measures and by incorporating renewable energy systems. The main objective of this report is to analyze the usefulness and relevance of proposed Load Match and Grid Interaction (LMGI) for Net Zero Energy Buildings. The methodology is based in the analysis of available high-resolution data (mainly hourly) both from simulated and monitored Net ZEBs (Net Zero Energy Buildings) or nZEB (nearly Zero Energy Buildings). The central question is to find a limited set of indicators which provide relevant information to building owners, local grid Distribution System Operators (DSO) when information from building simulations are available at design stage.The first two sections of the report introduces why load matching and grid interaction are key aspects to be analysed in Net ZEBs together with the fulfilment of the yearly energy balance between on-site generation and buildings load. Buildings will play a significant role as part of an energy system based on DER -Distributed Energy Resources. Section two analyses the subject from several perspectives from the operators of national energy grids to the building owners and users. More details and references to previous studies are given when the conditions for the distribution grids are discussed, as the buildings are mostly connected to the medium and low-voltage grid. Analysis concludes that an accurate analysis will need detailed information of the grid topologies, which in most of the cases is not the case when Net ZEBs are being planned. Also, it is highlighted that grid interaction is an aspect that should be analysed in the framework of urban planning (at the cluster of buildings level) more than at individual building level. IEA Joint Project SHC Task 40 / ECBCS Annex 52 Load Match and Grid Interaction in NZEBPage 6 of 102The third chapter of the report defines the load match and grid interaction indicators that should be computed with the case studies, together with describing the terminology. This is defined in coherence with the framework for Net ZEBs definition established in this current IEA Task IEA Joint Project SHC Task 40 / ECBCS Annex 52 Load Match and Grid Interaction in NZEBPage 7 of 102 A novel form of graphical representation using normalized load duration curve for net exported energy is proposed in this report. This graphical representation (see figure below) allows identifying the peak values of the net exported energy in a Net ZEB together with the profile of the grid interaction during the whole year knowing the percentage of time when the building is exporting energy. In the same graph, also the relation with the peak load, peak on-site generation and connection capacity are shown.The report concludes that load and supply cover factor, together with the loss of load probability are enough indexes to describe the relationship...

show abstract

Section: Grid Citizenship Toolsupporting

confidence: 92%

Section: Grid Citizenship Toolmentioning

confidence: 87%

Analysis Of Load Match and Grid Interaction Indicators in NZEB with High-Resolution Data

Salom¹,

Marszal²,

Candanedo³

et al. 2014

Self Cite

View full text Add to dashboard Cite

show abstract

“…La revisión de áreas construidas se concentra usualmente en la capacidad de recolección solar de las cubiertas de edifi cios, estimando magnitudes generales por sectores (Izquierdo, 2008), aunque sin considerar fachadas o patios, como tampoco la estructura urbana. Una revisión más detallada del potencial solar de las edifi caciones requiere la información volumétrica de las construcciones y el cálculo de radiación recibida por cada frente o lugares anexos, que luego se puede grafi car e implementar en sistemas catastrales (UPM & POLIS, 2010). En un reciente proyecto de investigación desarrollado en Europa, se evaluó el potencial solar en tres ciudades: Lisboa, París y Vitoria-Gateiz.…”

Section: Catastros Energéticos Y Captación Solar Urbanaunclassified

“…La captación de energía solar para consumo directo en el lugar (on-site), permite prescindir de redes de transporte y distribución, evita la construcción, mantención y contaminación espacial de grandes sistemas (Widén, 2010). El presente estudio pretende entonces promover la aplicación de energías renovables en las ciudades, específi camente en el uso residencial, determinando la zonificación de sus requerimientos y posibilidades de captación solar.…”

unclassified

Mapa energético-solar de Concepción: cartografía urbana del consumo energético y captación solar en edificaciones residenciales de Concepción, Chile

Álvarado¹,

Wegertseder²,

Baeriswyl³

et al. 2014

Rev. geogr. Norte Gd.

View full text Add to dashboard Cite

RESUMENCon el fi n de promover el uso de la energía solar en las ciudades, se presenta una metodología de catastro urbano del consumo energético y captación solar, aplicada para distintas tipologías residenciales, categorizadas por manzanas, en Concepción, Chile. La categorización se realiza mediante encuestas, registros socioeconómicos, fotos aéreas, tipologías de edifi cación y simulaciones, que se implementan en un Sistema de Información Geográfi co (SIG). Se identifi can rangos y zonas, que entregan como primer resultado, una distribución diferenciada de consumos y potencialidades solares, que constituyen la base para implementar una matriz de energía renovable. El estudio muestra que en Concepción los sectores de alta densidad presentan menor potencial de captación solar, y los sectores con baja densidad muestran un sobrepotencial, que permitiría alcanzar un equilibrio en la matriz energética solar de la ciudad, mediante la transferencia entre los sectores.Palabras clave: Energía solar, consumo energético, mapas urbanos, tipologías residenciales, Chile. ABSTRACTWith the aim of promoting solar energy use in cities, this paper presents an urban assessment of energy consumption and incident solar radiation, applied to different residential typologies, categorized by block in Concepción, Chile. The categorization was done through surveys, socioeconomic records, aerial photographs, building typologies and simulations, which were implemented in a Geographic Information System (GIS). The identifi ed ranges and zones give, as a fi rst result, the differential distribution of energy consumption and solar potential, which constitute the basis for implementing an array of renewable energy. This work shows that high-density sectors have less solar potential in Concepción, whereas low-density sectors show a surplus, which could allow achievement of a balance in the solar energy matrix by energy transfer between sectors of the city.

show abstract

“…Between all the different alternatives, those modeling techniques that provide a high-temporal resolution are regarded as the most suitable ones due to the random nature of the end users' consumption and the renewable sources [12,13].…”

Section: Introductionmentioning

confidence: 99%

PV Hosting Capacity Analysis and Enhancement Using High Resolution Stochastic Modeling

et al. 2017

View full text Add to dashboard Cite

Reduction of CO 2 emissions is a main target in the future smart grid. This goal is boosting the installation of renewable energy resources (RES), as well as a major consumer engagement that seeks for a more efficient utilization of these resources toward the figure of 'prosumers'. Nevertheless, these resources present an intermittent nature, which requires the presence of an energy storage system and an energy management system (EMS) to ensure an uninterrupted power supply. Moreover, network-related issues might arise due to the increasing power of renewable resources installed in the grid, the storage systems also being capable of contributing to the network stability. However, to assess these future scenarios and test the control strategies, a simulation system is needed. The aim of this paper is to analyze the interaction between residential consumers with high penetration of PV generation and distributed storage and the grid by means of a high temporal resolution simulation scenario based on a stochastic residential load model and PV production records. Results of the model are presented for different PV power rates and storage capacities, as well as a two-level charging strategy as a mechanism for increasing the hosting capacity (HC) of the network.

show abstract

Impacts of different data averaging times on statistical analysis of distributed domestic photovoltaic systems

Cited by 50 publications

References 11 publications

Analysis Of Load Match and Grid Interaction Indicators in NZEB with High-Resolution Data

Analysis Of Load Match and Grid Interaction Indicators in NZEB with High-Resolution Data

Mapa energético-solar de Concepción: cartografía urbana del consumo energético y captación solar en edificaciones residenciales de Concepción, Chile

PV Hosting Capacity Analysis and Enhancement Using High Resolution Stochastic Modeling

Contact Info

Product

Resources

About