Pre-Occupancy Evaluation in Hospital Rooms for Efficient Use of Natural Light—Improved Proposals
Author(s): |
Tiziana Ferrante
Teresa Villani |
---|---|
Medium: | journal article |
Language(s): | English |
Published in: | Buildings, 1 December 2022, n. 12, v. 12 |
Page(s): | 2145 |
DOI: | 10.3390/buildings12122145 |
Abstract: |
This paper aims to contribute to the formulation of criteria for the design of inpatient spaces through the efficient use of natural light as a factor that greatly influences human health. Specifically, it concerns the development of a methodology to assess the quality of natural light in the operating phase and demonstrate how the morphological and material characteristics of the hospital rooms can affect natural lighting. All variables affecting light in indoor spaces have been evaluated, with a focus on the photometric characteristics of finishing materials and furnishings, aimed at determining their contribution in terms of reflectance. This evaluation was based on pre-occupancy evaluation methodologies, which allow comparing actual and simulated natural light conditions, and was tested on a sample of inpatient rooms located in a hospital in Rome. Improvement design solutions were proposed and simulated through the evaluation of physical variables including daylight factor, illuminance, color rendering index, etc., selecting the ones with appreciable improvements over ante operam natural light conditions. The methodology allows control over the effects of individual interventions, specific to each variable, highlighting their impact on visual comfort and their feasibility from an economic and operational point of view. |
Copyright: | © 2022 by the authors; licensee MDPI, Basel, Switzerland. |
License: | This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met. |
7.56 MB
- About this
data sheet - Reference-ID
10700123 - Published on:
11/12/2022 - Last updated on:
15/02/2023