By Triantafyllia Nikolaou, Dionysia Kolokotsa, George Stavrakakis, Apostolos Apostolou, Corneliu Munteanu
That includes an in depth research and presentation of leading edge researches, equipment, algorithms and applied sciences that care for built-in clever structures for the effective administration of strength and indoor surroundings in constructions, this e-book encompasses the laws, directives and criteria concerning the power and the indoor setting of structures in addition to a literature evaluate and dialogue at the present cutting-edge for constructions’ power potency type. Maximizing reader perception into this subject through simulation types for constructions and effort audits at place of work constructions are awarded together with tables and figures with the specified information about the parameters, inputs, outputs and the results of the surveys. This e-book additionally outlines the improvement of a digital development Dataset (VBD) of place of work structures as an leading edge benchmarking and class software. The proposed method overcomes the problems and time required for gathering the required enormous construction constructional and effort accounts info by way of growing them nearly utilizing effective stochastic simulation and by way of bearing in mind all parameters which can impact the strength functionality and indoor thermal convenience of place of work structures. the data and ideas conveyed by means of the ebook are supported with equations and algorithms and 137 coloured figures and fifty five tables, and lines a wealthy bibliography, references and internet assets. The e-book includes the fundamental wisdom undergraduate and particularly postgraduate classes at the emergent topic of power administration and saving in constructions. The leading edge facets and publications of the e-book provide severe possibilities to the postgraduate scholars during this medical sector to additional strengthen their learn talents and services.
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Extra info for Managing Indoor Environments and Energy in Buildings with Integrated Intelligent Systems (Green Energy and Technology)
J. (2000). Energy benchmarks for public sector buildings in Northern Ireland. In Proceedings of CIBSE National Conference, Dublin. , & Geros, V. (2006). Modeling and predicting building’s energy use with electric neural networks: Methods and results. Energy and Buildings, 38, 949–958. , & Piette, M. A. (2002). Development of California commercial building benchmarking database. In ACEEE 2002 Summer Study on Energy Efﬁciency in Buildings, 12–23 August 2002. California: Alisomar Conference Center.
An energy performance assessment for indoor environmental quality (IEQ) acceptance in air-conditioned ofﬁces. Energy Conversion and Management, 50, 1362–1367. -P. (2011a). Review on the research of indoor environment quality and building energy consumption. Applied Mechanics and Materials, 90– 93, 3043–3046. , & Ji, Y. (2011b). Indoor thermal comfort and its effect on building energy consumption. Applied Mechanics and Materials, 71–78, 3516–3519. Zmeureanu, R. (1992). A new method for evaluating the normalized energy consumption of buildings.
Energy and Buildings, 17, 235–346. , & Fazio, P. (1992). Analysis of the energy performance of ofﬁce buildings in Montreal in 1998. Energy and Buildings, 17, 63–74. 1 Introduction The energy requirements of a building depend on the performance of the envelope components (walls, openings, and roof), the lighting and HVAC systems, the local climate, the building orientation, the building surroundings, as well as the behavior of building users. To analyze all these interdependent parameters, especially when large buildings are involved, building simulation is required (Fabrizio and Monetti 2015; Hsu 2014; Kreider et al.