Leadership in Energy and Environmental Design

Résumé

Le Leadership in Energy and Environmental Design (LEED) est un système nord-américain de standardisation de bâtiments à haute qualité environnementale créé par le en 1998, semblable à Haute qualité environnementale en France. Un bâtiment peut atteindre quatre niveaux : certifié, argent, or ou platine. Les critères d'évaluation incluent : l'efficacité énergétique, l'efficacité de la consommation d'eau, l'efficacité du chauffage, l'utilisation de matériaux de provenance locale et la réutilisation de leur surplus. Historique et définition Initialement créé par le U.S. Green Building Council (USGBC), le système a été adapté aux marchés canadiens par le Conseil du bâtiment durable du Canada (CBDCa). Depuis, ses principes : la distribution de points dans cinq catégories pour obtenir une certification ou un niveau supérieur de statut écologique. En , l'Université d'East Anglia dénombrait plus de certifiés BREEAM dans le monde pour certifiés LEED. En ce sens, LEED est aujou

Source officielle

https://fr.wikipedia.org/wiki/Leadership_in_Energy_and_Environmental_Design

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Séances de cours associées (19)

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Building performance simulation (BPS) is the basis for informed decision-making of Net Zero Energy Buildings (NZEBs) design. This paper aims to investigate the use of building performance simulation tools as a method of informing the design decision of NZEBs. The aim of this study is to evaluate the effect of a simulation-based decision aid, ZEBO, on informed decision-making using sensitivity analysis. The objective is to assess the effect of ZEBO and other building performance simulation tools on three specific outcomes: (i) knowledge and satisfaction when using simulation for NZEB design; (ii) users’ decision-making attitudes and patterns, and (iii) performance robustness based on an energy analysis. The paper utilizes three design case studies comprising a framework to test the use of BPS tools. The paper provides results that shed light on the effectiveness of sensitivity analysis as an approach for informing the design decisions of NZEBs.

Tsinghua Univ Press2013

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This paper summarizes a study that was undertaken to reveal potential challenges and opportunities for integrating optimisation tools in Net/Nearly Zero Energy Buildings (NZEB) Design. The paper reviews current trends in simulation-based Building Performance Optimisation (BPO) and outlines major criteria for optimisation tools selection and evaluation. This is based on analyzing users’ needs for tools capabilities and requirement specifications. The review is carried out by means of interviews with 28 optimisation experts. The findings are based on an inter-group comparison between experts. The aim is to assess the gaps and needs for integrating BPO tools in NZEB Design. The findings indicate existing limitations including model uncertainty, computation time, difficulty of implementation and steep learning curve. Future directions anticipated or needed for improvement of current tools are presented.

2013

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On the Influence of Thermal Mass and Natural Ventilation on Overheating Risk in Offices

Jérôme Philippe Bonvin, Arianna Brambilla, Flourentzos Flourentzou, Thomas Bernard Paul Jusselme

Free cooling strategies are gaining importance in design practice due to the increased risk of overheating in well-insulated buildings with high internal loads such as offices. The state of the art highlights that the most efficient passive solution for indoor temperature stabilization and control is the integration of thermal mass with an optimized ventilative cooling profile to enhance the thermal cycle of heat storage. Due to its cyclical behavior, thermal mass effects are difficult to predict and quantify with the traditional steady-state approach to building thermal performance. Dynamic thermal simulations help to assess a building’s behavior under transient situations, including the thermal mass influence. However, building codes usually include thermal simulations based on standard assumptions: typical meteorological year (TMY), standard occupancy, standard daily-based lighting and appliances profiles, and standard weekly-based occupancy. Thus, when assumptions change, the actual behavior of the building may vary consistently from the predicted conditions. In this paper, we focused on the ability of thermal mass to contrast the influence of variations from the standard assumptions, especially in relation to climate and ventilation profiles. The results show the necessity of encompassing different risk scenarios when evaluating a free cooling solution performance. Among the different scenarios simulated, natural ventilation misuse shows greater influence on the thermal indoor environment, especially if coupled with low thermal mass.

2018

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