Use of different methodologies for thermal load and energy estimations in buildings including meteorological and sociological input parameters

Pedersen, L.

doi:10.1016/j.rser.2005.08.005

Cited by 55 publications

(21 citation statements)

References 8 publications

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“…In addition, governments' standard assessment procedures for energy rating of dwellings were published such as SAP2005 in UK [23]. Other studies offered methods including meteorological and sociological influences on thermal load and energy estimations [24]; or impact of occupant behavior on energy consumption in dwellings [25].…”

Section: Introductionmentioning

confidence: 99%

On the relation between architectural considerations and heating energy performance of Turkish residential buildings in Izmir

Kazanasmaz

Uygun

Akkurt

et al. 2014

Energy and Buildings

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a b s t r a c tBy considering the energy efficiency legislations among the European Union, Turkey is responsible to provide regulations to comply for the latest European Energy Performance of Buildings Directive 2010/31/EC. New legislation in Turkey requires information about the evaluation of energy performance of existing buildings. This study aimed to determine energy performance of residential buildings in Izmir, regarding significant relationships between their performance and architectural configuration through statistical analysis. The focus was on the heating energy consumption due to Energy Efficiency Law (2007) and Building Energy Performance Regulation (2008), and Standard Assessment Method for Energy Performance of Dwellings (KEP-SDM). This energy performance assessment method was based on Turkish standard TS 825, and European standard EN ISO 13790. It is known that architectural configuration of buildings and design norms have impact on energy performance of buildings. However, emphasis was given on significant values of architectural considerations through certain area-based ratios. The levels of these ratios were matched with the levels of energy consumption. By this, the consideration was to take early-precautions against high energy consumptions in the early design stage and to enhance legislation by adding recommendations of concrete architectural values. These would assist to predict the level of energy performance in the early design phase. Findings would provide feedback information on the residential building stock inİzmir, Turkey.

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Section: Introductionmentioning

confidence: 99%

On the relation between architectural considerations and heating energy performance of Turkish residential buildings in Izmir

Kazanasmaz

Uygun

Akkurt

et al. 2014

Energy and Buildings

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“…In this scenario, at present there are three different approaches [4] for modelling energy consumption in buildings : Statistic Modelling (SM), Simulation Programs (SP) and Intelligent Computer Systems (ICS). The first one, known also as inverse modelling [5], is based on the building behaviour.…”

Section: Introductionmentioning

confidence: 99%

“…The first one, known also as inverse modelling [5], is based on the building behaviour. With this approach a priori hypothesis about the model structure are made and the internal model parameters are tuned up through statistical analysis methods and the most popular techniques are linear regression and multivariate analysis [4]. Therefore the structure of the models is pretty straightforward but sophisticate statistical analysis methods are needed.…”

Section: Introductionmentioning

confidence: 99%

“…All this information makes this approach computationally very expensive. The last approach, known also Artificial Intelligence (IA) approach [4], is based on Expert Systems (ES) and Artificial Neural Networks (ANN). ES are computer systems [6] that emulates the decision-making ability of a human expert.…”

Section: Introductionmentioning

confidence: 99%

“…The application of these methods depends on their own characteristics [4]. SM is mainly used in energy modelling of clusters of buildings [9,10] or in the design of areas where different end users are present.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Building lighting energy consumption modelling with hybrid neural-statistic approaches

Lauro

Meloni

Pizzuti

2012

EPJ Web of Conferences

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Abstract. In the proposed work we aim at modelling building lighting energy consumption. We compared several classical methods to the latest Artificial Intelligence modelling technique : Artificial Neural Networks Ensembling (ANNE). Therefore, in this study we show how we built the ANNE and a new hybrid model based on the statistical-ANNE combination. Experimentation has been carried out over a three months data set coming from a real office building located in the ENEA 'Casaccia' Research Centre. Experimental results show that the proposed hybrid statistical-ANNE approach can get a remarkable improvement with respect to the best classical method (the statistical one).

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Uses of dynamic simulation to predict thermal‐energy performance of buildings and districts: a review

Castaldo

Pisello

2017

WIREs Energy & Environment

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The design of sustainable constructions also resilient to climate change has become a challenging issue given the increasing greenhouse emissions rate imputable to the built environment in urban areas. In this context, dynamic simulation models represent a suitable tool to support the design from very preliminary phases, since they allow an accurate prediction of the constructions requirements, their environmental performance, and indoor comfort conditions for their occupants. Therefore, starting from specific inputs, that is, weather conditions, construction technologies, materials, energy systems, operation settings, occupancy, and so forth, it is possible to estimate the realistic building energy performance. Moreover, the calibration procedures allow making the model even more representative of the field conditions of a construction. Given the massive progress carried out by the scientific community during the last decades, this paper presents a comprehensive review of the different building dynamic simulation approaches and available tools. While previous review studies focused on single separated aspects of dynamic simulations approaches, that is, calibration methods, software, simulation of single building energy systems, the aim of the present review is to propose a more holistic approach by investigating the recent scientific progress in simulating realistic dense urban environments. In this view, the review focus bridges the gap between the simulation at single-building level and simulation at the increasingly important neighborhood scale by showing the multiple benefits deriving from using dynamic simulation tools at district level, for a more reliable investigation of building performance in their urban context, where more than 50% of the global population worldwide currently lives.

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Use of different methodologies for thermal load and energy estimations in buildings including meteorological and sociological input parameters

Cited by 55 publications

References 8 publications

On the relation between architectural considerations and heating energy performance of Turkish residential buildings in Izmir

On the relation between architectural considerations and heating energy performance of Turkish residential buildings in Izmir

Building lighting energy consumption modelling with hybrid neural-statistic approaches

Uses of dynamic simulation to predict thermal‐energy performance of buildings and districts: a review

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