“…La rentabilidad de los proyectos de rehabilitación con mejoramiento de envolvente e incorporación de espacios intermedios ha sido estimada con un período de retorno de 10 años (Ferrante y Semprini, 2011). Mientras, en las propuestas que consideran la densificación de los conjuntos se ha determinado que la alta inversión inicial puede ser compensada por medio de la venta de las nuevas unidades (Paiho, Ketomaki, Kannari, Hakkinen y Shameikka, 2019). Se estima que, en Europa, la rehabilitación de 10 millones de viviendas hasta 2050 podría crear más de 150.000 empleos, un mercado de entre 2.000 y 10.000 millones de euros anuales y una revalorización de la vivienda de hasta un 10% (Cuchí y Sweatman, 2013).…”
Section: Figura 2 Levantamiento De Condominios Socialesunclassified
Habitacionales (PRCH) del MINVU ha venido a hacerse cargo de la necesidad urgente de reducir el déficit cualitativo de la vivienda social y mejorar los edificios de condominios en altura. A partir del aprendizaje de las primeras experiencias se elaboró un modelo de gestión donde se pueden constatar una serie de problemáticas derivadas de los largos plazos de ejecución de estos proyectos. El presente estudio identifica las dimensiones de la gestión, diseño e implementación de procesos que permitirían reducir sus plazos de aplicación,
“…La rentabilidad de los proyectos de rehabilitación con mejoramiento de envolvente e incorporación de espacios intermedios ha sido estimada con un período de retorno de 10 años (Ferrante y Semprini, 2011). Mientras, en las propuestas que consideran la densificación de los conjuntos se ha determinado que la alta inversión inicial puede ser compensada por medio de la venta de las nuevas unidades (Paiho, Ketomaki, Kannari, Hakkinen y Shameikka, 2019). Se estima que, en Europa, la rehabilitación de 10 millones de viviendas hasta 2050 podría crear más de 150.000 empleos, un mercado de entre 2.000 y 10.000 millones de euros anuales y una revalorización de la vivienda de hasta un 10% (Cuchí y Sweatman, 2013).…”
Section: Figura 2 Levantamiento De Condominios Socialesunclassified
Habitacionales (PRCH) del MINVU ha venido a hacerse cargo de la necesidad urgente de reducir el déficit cualitativo de la vivienda social y mejorar los edificios de condominios en altura. A partir del aprendizaje de las primeras experiencias se elaboró un modelo de gestión donde se pueden constatar una serie de problemáticas derivadas de los largos plazos de ejecución de estos proyectos. El presente estudio identifica las dimensiones de la gestión, diseño e implementación de procesos que permitirían reducir sus plazos de aplicación,
“…CityGML is an open semantic data model designed for representing 3D urban information across a wide range of uses and enabling interoperability between systems that support it. The relevance of 3D modelling to building energy analyses has led to CityGML playing an important role in supporting these objectives [7,13,[18][19][20][21]. For example, solar irradiance may be estimated using surface geometry extracted from CityGML [19], but additional modelling is required for heating demand estimation.…”
Section: The Citygml Standard and Energy Modellingmentioning
Understanding the energy demand of a city’s housing stock is an important focus for local and national administrations to identify strategies for reducing carbon emissions. Building energy simulation offers a promising approach to understand energy use and test plans to improve the efficiency of residential properties. As part of this, models of the urban stock must be created that accurately reflect its size, shape and composition. However, substantial effort is required in order to generate detailed urban scenes with the appropriate level of attribution suitable for spatially explicit simulation of large areas. Furthermore, the computational complexity of microsimulation of building energy necessitates consideration of approaches that reduce this processing overhead. We present a workflow to automatically generate 2.5D urban scenes for residential building energy simulation from UK mapping datasets. We describe modelling the geometry, the assignment of energy characteristics based upon a statistical model and adopt the CityGML EnergyADE schema which forms an important new and open standard for defining energy model information at the city-scale. We then demonstrate use of the resulting urban scenes for estimating heating demand using a spatially explicit building energy microsimulation tool, called CitySim+, and evaluate the effects of an off-the-shelf geometric simplification routine to reduce simulation computational complexity.
“…However, the combination and integration of HP and PV technologies in residential sectors have not been widely investigated, and the research has been mostly focused on the single building-level [19], with limited focus on district-scale applications [20]. In this research, the energy and economic evaluations of some promising integration of renewable energy technologies and energy efficiency measures at the district level are performed using a novel transient simulation tool.…”
In this research, a technoeconomic comparison of energy efficiency options for energy districts located in different climatic areas (Naples, Italy and Fayoum, Egypt) is presented. A dynamic simulation model based on TRNSYS is developed to evaluate the different energy efficiency options, which includes different buildings of conceived districts. The TRNSYS model is integrated with the plug-in Google SketchUp TRNSYS3d to estimate the thermal load of the buildings and the temporal variation. The model considers the unsteady state energy balance and includes all the features of the building’s envelope. For the considered climatic zones and for the different energy efficiency measures, primary energy savings, pay back periods and reduced CO2 emissions are evaluated. The proposed energy efficiency options include a district heating system for hot water supply, air-to-air conventional heat pumps for both cooling and space heating of the buildings and the integration of photovoltaic and solar thermal systems. The energy actions are compared to baseline scenarios, where the hot water and space heating demand is satisfied by conventional natural gas boilers, the cooling demand is met by conventional air-to-air vapor compression heat pumps and the electric energy demand is satisfied by the power grid. The simulation results provide valuable guidance for selecting the optimal designs and system configurations, as well as suggest guidelines to policymakers to define decarbonization targets in different scenarios. The scenario of Fayoum offers a savings of 67% in primary energy, but the associated payback period extends to 23 years due to the lower cost of energy in comparison to Naples.
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