Passive design strategies and performance of Net Energy Plus Houses

Rodríguez-Ubiñas, Edwin; Montero, Claudio; Porteros, María; Vega, Sergio; Navarro, Iñaki; Castillo-Cagigal, Manuel; Matallanas, Eduardo; Gutiérrez, Álvaro

doi:10.1016/j.enbuild.2014.03.074

Cited by 165 publications

(88 citation statements)

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“…During the monitored period, the average consumption of the houses was 146 Wh, being the highest consumption 198 Wh. In terms of energy production, the average electrical energy production was 208 Wh, and the highest production was 421 Wh [14]. Dots in the Fig.…”

Section: Electrical Energy Balance During the Monitored Periodmentioning

confidence: 99%

“…3.1.1. SDE 2012 houses' envelope and passive strategies SDE 2012 teams, in general, selected very high performance envelope [14]. Additionally most of them work to provide an airtight construction.…”

Section: Adequate Solutions For the Competition On-site Evaluationmentioning

confidence: 99%

“…The passive strategies utilized are the base for the high efficiency performance of most of the houses. A detailed study about the SDE2012 houses was carried out by Rodriguez-Ubinas et al [14].…”

Section: Adequate Solutions For the Competition On-site Evaluationmentioning

confidence: 99%

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Energy efficiency evaluation of zero energy houses

Rodríguez-Ubiñas

Rodríguez

Voss

et al. 2014

Energy and Buildings

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a b s t r a c tGiven the global energy and environmental situation, the European Union has been issuing directives with increasingly demanding requirements in term of the energy efficiency in buildings. The international competition of sustainable houses, Solar Decathlon Europe (SDE), is aligned with these European objectives. SDE houses are low energy solar buildings that must reach the near to zero energy houses' goal. In the 2012 edition, in order to emphasize its significance, the Energy Efficiency Contest was added. SDE houses' interior comfort, functioning and energy performance is monitored. The monitoring data can give an idea about the efficiency of the houses. However, a jury comprised by international experts is responsible for carrying out the houses energy efficiency evaluation. Passive strategies and houses services are analyzed. Additionally, the jury's assessment has been compared with the behavior of the houses during the monitoring period. Comparative studies make emphasis on the energy aspects, houses functioning and their interior comfort. Conclusions include thoughts related with the evaluation process, the results of the comparative studies and suggestions for the next competitions.

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Section: Electrical Energy Balance During the Monitored Periodmentioning

confidence: 99%

Section: Adequate Solutions For the Competition On-site Evaluationmentioning

confidence: 99%

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Energy efficiency evaluation of zero energy houses

Rodríguez-Ubiñas

Rodríguez

Voss

et al. 2014

Energy and Buildings

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“…They sized solar collector systems using dynamic thermal simulation of two representative house geometries in order to meet all annual energy needs. Additionally, Rodriguez-Ubinas et al, and Song et al [13,14] provided the analysis of the passive approaches used in net energy plus homes. The contributing houses of the Solar Decathlon Europe 2012 competition were used as case studies.…”

Section: Literature Reviewmentioning

confidence: 99%

An Environmentally-Friendly Tourist Village in Egypt Based on a Hybrid Renewable Energy System––Part Two: A Net Zero Energy Tourist Village

et al. 2015

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Abstract:The main objective of this study is to discuss the economical and the environmental analysis of a net zero energy (NZE) tourist village in Alexandria, Egypt, by maximizing the renewable energy fraction and minimizing the greenhouse gases (GHG) emissions. The hybrid photovoltaics (PV)/wind/diesel/battery system is found to be the optimum hybrid renewable energy system (HRES) for the proposed tourist village under the study. The optimum HRES consists of 1600 kW of PV panels (58.09% solar energy penetration), 1000 kW of wind turbines (41.34% wind energy penetration), 1000 kW of power converters, 200 kW diesel generator (only 0.57% diesel generator penetration) in addition to 2000 batteries with the capacity of 589 Ah each. The levelized cost of energy (COE) from the optimum HRES is $0.17/kWh and the total net present cost (NPC) of this system is $15,383,360. Additionally, the maximum renewable energy fraction is 99.1% and the amount of GHG emitted from the optimum HRES is only 31,289 kg/year, which is negligible in comparison with the other system configurations, therefore the optimum HRES can be considered as a green system. In addition to this, the achieved percentage of the capacity shortage and the unmet load in the optimal HRES is only 0% for both. OPEN ACCESS

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“…In Matallanas et al (2014), the electrical contest is analyzed and the different results of the participants teams were shown. Finally, in Rodriguez-Ubiñas et al (2014), the paper addresses the use of passive techniques, broadly architectonics techniques, to reduce the energy consumption in the electrical grid.…”

Section: Discussionmentioning

confidence: 99%

Artificial recurrent neural networks for the distributed control of electrical grids with photovoltaic electricity

Avila¹

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Realizando el acto de defensa y lectura de la Tesis en la E.T.S.I.T., Madrid, el día de de 2016.Acuerdan otorgar la calificación de:Y, para que conste, se extiende firmada por los componentes del tribunal, la presente diligencia ResumenEl sistema eléctrico actual no ha evolucionado desde sus orígenes. Esto ha hecho que emerjan diferentes problemas los cuales son necesarios afrontar para incrementar el rendimiento de las redes eléctricas. Uno de estos problemas es el crecimiento de la demanda, mientras que otros, como las Tecnologías de la Información y las Comunicaciones (TIC) o la Generación Distribuida (GD), se han desarrollado dentro de la red eléctrica recientemente sin ser propiamente integradas dentro de ella. Esta Tesis afronta los problemas derivados del manejo y la operación de las redes eléctricas existentes y su evolución hacia lo que se considera la red eléctrica del futuro o Smart Grid (SG).El SG nace de la convergencia de cinco aspectos: i) la red eléctrica, ii) TICs, iii) energías renovables, iv) almacenamiento eléctrico y v) Gestión de la Demanda Eléctrica (GDE). Esta Tesis consiste en un primer paso hacia el SG uniendo e integrando los cinco aspectos claves para su desarrollo y despliegue en el futuro cercano. Para ello, la mejora del estado de la red eléctrica se consigue a través del suavizado del consumo agregado. Para lograr este objetivo, se propone el uso de un algoritmo que procese la información proveniente de las TICs para que todas las partes de la red eléctrica se puedan beneficiar. Algunos de estos beneficios son: mejor uso de las infraestructuras, reducción de su tamaño, mayor eficiencia, reducción de costes e integración de GD, entre otros. El algoritmo propuesto está basado en una aproximación distribuida en la que los usuarios son hechos partícipes de sus decisiones, siendo capaces de manejar sus flujos de potencia con este objetivo. El algoritmo se ha implementado siguiendo una estrategia basada en la GDE combinada con el control automático de la demanda que ayude a integrar los Recursos Energéticos Distribuidos (RED) (energías renovables y sistemas de almacenamiento eléctrico), que lo conducen hacia un concepto innovador denominado Gestión de la Activa de la Demanda Eléctrica (GADE).En esta Tesis, una aproximación basada en la Inteligencia Artificial (IA) ha sido utilizada para implementar el algoritmo propuesto. Este algoritmo ha sido construido utilizando Redes Neuronales Artificiales (RNAs), más concretamente Redes Neuronales Recurrentes (RNRs). El uso de RNAs ha sido motivado por las ventajas de trabajar con sistemas distribuidos, adaptativos y no lineales. Y la elección de las RNRs se ha basado en sus propiedades dinámicas, las cuales encajan perfectamente con el comportamiento dinámico no lineal de la red eléctrica. Además, un controlador neural es utilizado para manejar cada elemento de la red eléctrica, incrementado la eficiencia global a través del suavizado del consumo agregado y maximizando el autoconsumo de los RED disponibles. Sin embargo, no existe ningún tipo de...

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Passive design strategies and performance of Net Energy Plus Houses

Cited by 165 publications

References 24 publications

Energy efficiency evaluation of zero energy houses

Energy efficiency evaluation of zero energy houses

An Environmentally-Friendly Tourist Village in Egypt Based on a Hybrid Renewable Energy System––Part Two: A Net Zero Energy Tourist Village

Artificial recurrent neural networks for the distributed control of electrical grids with photovoltaic electricity

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