1000 resultados para Church buildings
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Energy consumption data are required to perform analysis, modelling, evaluation, and optimisation of energy usage in buildings. While a variety of energy consumption data sets have been examined and reported in the literature, there is a lack of a comprehensive categorisation and analysis of the available data sets. In this study, an overview of energy consumption data of buildings is provided. Three common strategies for generating energy consumption data, i.e., measurement, survey, and simulation, are described. A number of important characteristics pertaining to each strategy and the resulting data sets are discussed. In addition, a directory of energy consumption data sets of buildings is developed. The data sets are collected from either published papers or energy related organisations. The main contributions of this study include establishing a resource pertaining to energy consumption data sets and providing information related to the characteristics and availability of the respective data sets; therefore facilitating and promoting research activities in energy consumption data analysis.
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Purpose – The purpose of this paper is to address two major challenges faced by sustainable building owners: first, address the gap between an occupant’s expectations of sustainable building outcomes and what the building actually provides and second, overcome the lack of user knowledge about sustainability design and operation for a particular with regards to performance. Design/methodology/approach – This study used a focus group approach to investigate the gap between: user expectations and sustainable building performance. The study surveyed occupants of sustainable office buildings in Melbourne, Australia. Findings – There is no significant relationship between users’ expectations and users’ experience of sustainable building performance and users’ knowledge about sustainability and the building they were worked in. Research limitations/implications – The research was limited to sustainable office buildings. New office buildings seeking to incorporate sustainability which need to focus on the needs of tenants in order to maximise value. Practical implications – There is an urgent need to ensure sustainable office buildings meet the needs of present and future occupiers without compromising short and long-term occupier satisfaction levels with regards to sustainability and operation of the building. Social implications – Increasing the level of sustainability in office buildings has been a major trend over the past decade however the tenants need to be consulted in the post-occupancy phase. Originality/value – Little attention has been given in the property management literature to sustainable office buildings and value drivers. This is an original and innovative study, partly due to the recent developments in sustainable buildings.
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This research examines an Anglican schism in Melanesia which led to the rise of a new church and argues that the new church was a response to the fundamental importance of territory. The result is a new social formation called the segmentary church society.
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Electrical load forecasting plays a vital role in order to achieve the concept of next generation power system such as smart grid, efficient energy management and better power system planning. As a result, high forecast accuracy is required for multiple time horizons that are associated with regulation, dispatching, scheduling and unit commitment of power grid. Artificial Intelligence (AI) based techniques are being developed and deployed worldwide in on Varity of applications, because of its superior capability to handle the complex input and output relationship. This paper provides the comprehensive and systematic literature review of Artificial Intelligence based short term load forecasting techniques. The major objective of this study is to review, identify, evaluate and analyze the performance of Artificial Intelligence (AI) based load forecast models and research gaps. The accuracy of ANN based forecast model is found to be dependent on number of parameters such as forecast model architecture, input combination, activation functions and training algorithm of the network and other exogenous variables affecting on forecast model inputs. Published literature presented in this paper show the potential of AI techniques for effective load forecasting in order to achieve the concept of smart grid and buildings.
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Esta pesquisa investigou as razões pelas quais gestores da empresa Sonae Sierra Brasil decidem adotar prerrogativas socioambientais; especificamente, em projetos de edificações sustentáveis (Green Building). O estudo almejou contribuir para o entendimento de quando a adoção desta modalidade de projetos gera valor na sua cadeia na percepção de diversos executivos da empresa, concorrentes e um de seus principais stakeholders: operações do varejo (lojistas). Assim, foram realizadas entrevistas que forneceram subsídios para a observação das manifestações de valor normalmente percebidas, fatores contrastantes ou limitantes destes valores e, por fim, observar se os valores percebidos por gestores da empresa são compartilhados por estes gestores externos a ela. Os resultados apontaram, principalmente, para valores intangíveis, como criação de identidade empresarial, integração empresarial e transferência de conhecimento e sinalização ao mercado, para as quais não foi observada qualquer ressalva. Relevou também que manifestações de valor, normalmente tidas como relevantes motivadores na adoção destes projetos, como diferenciação, e benefício de imagem e marca são frequentemente destacadas, mas acompanhada de questionamentos. Os resultados da pesquisa contribuem para o entendimento da forma como as organizações percebem os valores de projetos socioambientais. Com isso, auxilia administradores de empresas a tomar decisões embasadas em experiências passadas, e gestores públicos na formulação de regulamentações que visem à redução do impacto ambiental de edificações.
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Rui Carita
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This work aims to study and analyze strategies and measures to improve energy performance in residential and service buildings, in order to minimize energy losses and energy consumption. Due to the high energy dependence of European Union (EU), including Portugal and Slovenia, and high percentage of energy consumption in the building sector, there was a need to adopt strategies at European level with ambitious goals. This came to force EU - Member States to take measures to achieve the proposed targets for energy consumption reduction. To this end, EU - Member States have adapted the laws to their needs and formed specialized agencies and qualified experts on energy certification, which somehow evaluate buildings according to their performance. In this study, the external characteristics of the building in order to meet its thermal needs and from there to survey the existing and possible constructive solutions to be used at the envelope will be examined, in order to increase comfort and reduce the need of use technical means of air conditioning. The possibility of passive heating and ventilation systems also will be discussed. These techniques are developed in parallel with the deployment and design of the building. In this manner, to reduce the energy consumption, various techniques and technologies exploit natural resources. Thus, appear the more sustainable and efficient buildings, so-called Green Buildings have been appeared. The study ends with the identification of measures used in several buildings, proving the economic return in the medium to long term, as well as the satisfaction of their users.
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This article is about thermal comfort in the wearable product. The research correlates fashion and architecture, in so far as it elects the brise soleil - an architectural element capable of regulating temperature and ventilation inside buildings - as a study referential, in trying to transpose and adapt its mechanisms to the wearable apparel.
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This paper presents the results of a numerical and experimental study of phase change material (PCM) filled walls and roofs under real operational conditions to achieve passive thermal comfort. The numerical part of the study was based on a one-dimensional model for the phase change problem controlled by pure conduction. Real radiation data was used to determine the external face temperature. The numerical treatment was based upon using finite difference approximations and the ADI scheme. The results obtained were compared with field measurements. The experimental set-up consisted of a small room with movable roof and side wall. The roof was constructed in the traditional way but with the phase change material enclosed. Thermocouples were distributed across the cross section of the roof. Another roof, identical but without the PCM, was also used during comparative tests. The movable wall was also constructed as is done traditionally but with the PCM enclosed. Again, thermocouples were distributed across the wall thickness to enable measurement of the local temperatures. Another wall, identical but without the PCM, was also used during comparative tests. The PCM used in the numerical and experimental tests was composed of a mixture of two commercial grades of glycol in order to obtain the required fusion temperature range. Comparison between the simulation results and the experiments indicated good agreement. Field tests also indicated that the PCM used was adequate and that the concept was effective in maintaining the indoor temperature very close to the established comfort limits. Further economical analysis indicated that the concept could effectively help in reducing the electric energy consumption and improving the energy demand pattern. © 1997 by John Wiley & Sons, Ltd.
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Semi-automatic building detection and extraction is a topic of growing interest due to its potential application in such areas as cadastral information systems, cartographic revision, and GIS. One of the existing strategies for building extraction is to use a digital surface model (DSM) represented by a cloud of known points on a visible surface, and comprising features such as trees or buildings. Conventional surface modeling using stereo-matching techniques has its drawbacks, the most obvious being the effect of building height on perspective, shadows, and occlusions. The laser scanner, a recently developed technological tool, can collect accurate DSMs with high spatial frequency. This paper presents a methodology for semi-automatic modeling of buildings which combines a region-growing algorithm with line-detection methods applied over the DSM.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)