Models for generating place and time dependent urban energy demand profiles

Mikkola, Jani; Lund, Peter

doi:10.1016/j.apenergy.2014.05.039

Cited by 47 publications

(41 citation statements)

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“…Urban form and land use pattern, and impact of urbanization on energy demand are also important issues to be considered when designing urban energy systems [70][71][72]. There have been studies working on developing an energy structure of compact energy demand and reasonable energy supply to achieve low energy consumption in the urban planning stage [7,8,73].…”

Section: Policy Implication and Limitationmentioning

confidence: 99%

Urban energy consumption: Different insights from energy flow analysis, input–output analysis and ecological network analysis

Chen

2015

Applied Energy

310

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Section: Policy Implication and Limitationmentioning

confidence: 99%

Urban energy consumption: Different insights from energy flow analysis, input–output analysis and ecological network analysis

Chen

2015

Applied Energy

310

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“…La energía solar recibida en las edificaciones es variable durante el día y el año, al igual que el consumo local (Lund, 2012;Mikkola y Lund, 2014). Lograr comunidades urbanas de bajo consumo energético en las que estén contenidas edificaciones, redes de transporte y demás funciones públicas implica abastecer distintas demandas temporales, suponiendo además una distribución y almacenamiento energético inteligente denominado Smart Grid.…”

Section: Introductionunclassified

Influencia de la geometría de techumbres de vivienda unifamiliar para integración de energía solar activa (BIPYTA)

Zalamea¹,

García²,

Arriagada³

2016

ACE: Architecture, City and Environment

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Se revisa la integración arquitectónica de sistemas de energía solar activa (colectores híbridos con aire) en techumbres de viviendas unifamiliares recientes en Concepción, Chile, determinando la influencia de la composición volumétrica de faldones captadores. Se descifra la incidencia de orientación e inclinación respecto a trayectoria solar, considerando que si bien es recomendable enfrentar al ecuador, permite desviaciones importantes (hasta de 50 º e incluso en 90 º en azimut, dependiendo de inclinación). Se concluye que, la irradiación recolectada en invierno, satisface entre 73 % y 39 % de la demanda doméstica total con irradiación presente en faldones promedio de Ala de Mayor Dimensión (AMD) y Segunda Ala de Mayor Dimensión (SAMD). Luego se revisa la posible implementación Colectores Híbridos Térmicos Fotovoltaicos con fluido aire (BIPVTa) en casos extremos de capacidad por tamaño y geometría de los faldones. En la techumbre de mayor capacidad el abastecimiento alcanza el 585 % de la demanda eléctrica en verano y 41 % en invierno. Contrariamente, la configuración menos favorable en día promedio de verano, abastece el 185 % de la demanda eléctrica y en invierno se prevé solo un 10 %. Se encuentra finalmente que una vivienda con costados extensos, promueven faldones más amplios y aptos para captación solar activa. Architectural integration of active solar energy systems (hybrid collectors with air) on dwelling´s roofs is reviewed, in recent single housing of Concepcion, Chile. Influence of volumetric configuration of roof and sides is identified. Also roof azimuth incidence was reviewed establishing that considerable deviations are allow without losing high irradiation rates. It is concluded that irradiation levels between 73% and 39% of the domestic demand in a winter day is available on average Largest Roof Section (LRS) or Second Larger Roof Section (SLRS) indexes. Then, Building Integration Photovoltaic & Thermal with Air Cooling technology was hypothetically displayed in the highest LRS house and in the lower SLRS house. These analysis showed that, LRS case production reach a 585% of the electricity demand an average day of summer and 41% in winter. Considering the SLRS case, energy production of 185% of the electricity demand is expected an average day of summer, but in a winter day only 10%. Finally, a relationship between long sides of building to get larger roof sections for active solar potential was found. Es revisa la integració arquitectònica de sistemes d'energia solar activa (col·lectors híbrids amb aire) als sostres d'habitatges unifamiliars recents a Concepción, Xile, determinant la influència de la composició volumètrica de faldons captadors. Es desxifra la incidència d'orientació i inclinació respecte a trajectòria solar, considerant que si bé és recomenable enfrontar a l'equador, permet desviacions importats (fins a 50º i inclús 90º d'azimut, depenent d'inclinació). Es conclou que la irridiació col·lectada a l'hivern satisfà entre 73% i 39% de la demanda domèstica total amb irridiació present a faldons promig d'Ala de Major Dimensió (AMD) i Segona Ala de Major Dimensió (SAMD). Després es revisa la possible implementació de Col·lectors Híbrids Tèrmics Fotovoltaics amb fluïd d'aire (BIPVTa) en casos extrems de capacitat per mida i geometria dels faldons. Als sostres de major capacitat l'abastiment arriba al 585% de la demanda elèctrica a l'estiu i al 41% a l'hivern. Contràriament, la configuració menys favorable en un dia promig d'estiu abasteix el 185% de la demanda elèctrica i a l'hivern es preveu només un 10%. Es troba, finalment, que un habitatge amb costats extensos, promouen faldons més amplis i aptes per captació solar activa.

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“…To improve forecast performance, reduce uncertainties and generate value in the new data-intensive environment, forecasters must be able to decide which specific factors affect the load, and what are their characteristics in time and space? For example, spatiotemporal load profiles are analyzed in Finland, where characteristics for different regions in the city of Helsinki are obtained, and one illustrative example is given in the Figure 2 [6]. Graphs show that power demand peaks in the city center are at noon or in the early afternoon, whereas in the outer suburbs of the city with high share of residential buildings, the peak occurs around 7-8 pm.…”

Section: Introductionmentioning

confidence: 99%

“…Graphs show that power demand peaks in the city center are at noon or in the early afternoon, whereas in the outer suburbs of the city with high share of residential buildings, the peak occurs around 7-8 pm. [6].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Improved Short Term Energy Load Forecasting Using Web-Based Social Networks

Kantardzic¹,

Gavranovic²,

Gavranović³

et al. 2015

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In this article, we are initiating the hypothesis that improvements in short term energy load forecasting may rely on inclusion of data from new information sources generated outside the power grid and weather related systems. Other relevant domains of data include scheduled activities on a grid, large events and conventions in the area, equipment duty cycle schedule, data from call centers, real-time traffic, Facebook, Twitter, and other social networks feeds, and variety of city or region websites. All these distributed data sources pose information collection, integration and analysis challenges. Our approach is concentrated on complex non-cyclic events detection where detected events have a human crowd magnitude that is influencing power requirements. The proposed methodology deals with computation, transformation, modeling, and patterns detection over large volumes of partially ordered, internet based streaming multimedia signals or text messages. We are claiming that traditional approaches can be complemented and enhanced by new streaming data inclusion and analyses, where complex event detection combined with Webbased technologies improves short term load forecasting. Some preliminary experimental results, using Gowalla social network dataset, confirmed our hypothesis as a proof-of-concept, and they paved the way for further improvements by giving new dimensions of short term load forecasting process in a smart grid.

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Models for generating place and time dependent urban energy demand profiles

Cited by 47 publications

References 30 publications

Urban energy consumption: Different insights from energy flow analysis, input–output analysis and ecological network analysis

Urban energy consumption: Different insights from energy flow analysis, input–output analysis and ecological network analysis

Influencia de la geometría de techumbres de vivienda unifamiliar para integración de energía solar activa (BIPYTA)

Improved Short Term Energy Load Forecasting Using Web-Based Social Networks

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