Human Centric Integrative Lighting Technology, Perception, Non-Visual Effects

by Khanh, Tran Quoc; Bodrogi, Peter; Vinh, Trinh Quang

• ISBN13: 9783527414000
• ISBN10: 3527414002
• eBook ISBN(s): 9783527831524
• Edition: 1st
• Format: Hardcover
• Copyright: 2023-08-14
• Publisher: Wiley-VCH
• More Book Details
• Purchase Benefits

Summary

Human Centric Integrative Lighting

Detailed presentation of the technical and non-technical aspects of modern lighting and its effect on humans

Human Centric Integrative Lighting provides a highly comprehensive overview of the subject, also referred to as human-centered indoor lighting technology; taking a practice-oriented approach, scientific findings in the field are condensed into models that can be directly used by developers.

Written by leading scientists in the field of lighting technology, Human Centric Integrative Lighting includes detailed information on:

• Fundamentals of lighting technology as it interacts with human perception and the current state of interior lighting today
• Basic principles of human centric integrative lighting and its various aspects, such as visual performance, color quality, emotional impact, and correlation of relevant parameters
• Comprehensive lighting quality models and subsequently derived recommendations for the practical implementation of concepts
• Relevant research findings from journals, patent specifications, and standards to provide a unified outlook on the field

Providing a comprehensive overview of the current state of development in the field, Human Centric Integrative Lighting discusses validated physiological and psychological perceptual models on which manufacturers of lighting products and suppliers of lighting technology solutions can base key design and development decisions.

lighting products; lighting technology solutions; lighting design; lighting development; human-centered indoor lighting technology; lighting color quality; lighting principles; lighting emotional impact; lighting quality; lighting research

Author Biography

Tran Quoc Khanh is University Professor and Head of the Laboratory of Adaptive Lighting Systems and Visual Processing at TU Darmstadt in Darmstadt, Germany. He received his PhD in Lighting Engineering from the TU Ilmenau, Germany. He received his Degree of Lecture Qualification (Habilitation) from the same university for his in colorimetry and color image processing. He gained industrial experience as a project manager at ARRI CineTechnik in München (Germany). Tran Quoc Khanh has authored and co-authored numerous scientific publications and invented several patents in various fields of lighting technology.

Peter Bodrogi was a Senior Research Fellow at the Laboratory of Adaptive Lighting Systems and Visual Processing at the TU Darmstadt in Darmstadt, Germany. He now works for the ERCO GmbH in Lüschenscheid, Germany, in the field of lighting engineering. He received his PhD in Information Technology. He obtained his postdoctoral qualification at the TU Darmstadt for his thesis on the optimization of modern visual technologies. He is co-author of numerous scientific publications and holds patents in the field of self-luminous display technology and lighting technology.

Trinh Quang Vinh is a Senior Research Fellow at the Laboratory of Adaptive Lighting Systems and Visual Processing at TU Darmstadt in Darmstadt, Germany. He received his M.Sc. degree in control engineering. He obtained his Dr.-Ing. degree from TU Darmstadt in 2013. His research topic is the complex mathematical modeling of high-power (phosphor-converted) LEDs, including their electrical, thermal, and optical behavior, as well as their light and color quality. He is co-author of several scientific publications and holds patents in the field of LED lighting technology.

Table of Contents

1. INTRODUCTION
History of Lighting Engineering
Illuminating Engineering: Technological Challenges and Relevance to Society
Aims and Motivations of the Present Book

2. FUNDAMENTALS OF LIGHTING ENGINEERING -
VISUAL AND NON-VISUAL ASPECTS
The Human Eye
Basic Quantities of Lighting Engineering: V(Lambda) Function, 2° and 10° Colour Matching Functions, Basics of Colorimetry, Colour Spaces, Colour Appearance Models, Colour Rendition Indices, Colour Gamut
Non-Visual Aspects: CIE 2015, DIN Spec 5031-100, Spectral Sensitivity Functions for Melanopsin, Melatonin Suppression According to Brainard and Thapan
The Metrics Amel According to DIN Spec 5031-100
Receptor Signals According to CIE 2018
Aging of the Human Eye According to DIN 5031-10

3. CONVENTIONAL INTERIOR LIGHTING PRINCIPLES
Design Recommendations According to CIE and DIN EN 12464
Lighting Quality Criteria, Specifications About Cri, Glare, Modelling Index, Homogeneity, Luminous Efficacy, Shifts of White Point, Illuminance, Luminance

4. HCL PRINCIPLES FOR INTERIOR LIGHTING
What Is HCL: Definition with Three Components (Visual Performance, Psychological-Emotional Aspects and Non-Visual Aspects)
Visual and Non-Visual Mechanisms
Input and Output Parameters of the HCL System
Influencing Factors of the Effect of Light on Humans (Time of the Day, Time of the Year, Weather, Age, Gender) from the Lighting Engineer's Point of View

5. VISUAL PERFORMANCE
Visual Performance with the V(Lambda) Function: Relative Visual Performance (RVP) Model, Luminance Contrast, Reaction Time, Effect of Age
Modern Aspects of Brightness and Visual Clarity: New Experiments About Brightness and Visual Clarity, Models of Brightness and Visual Clarity, Comparison of Brightness Models

6. COLOUR QUALITY AND EMOTIONAL ASPECTS
Colour Quality: Colour Quality and Chroma Enhancement, Visual Experiments in a Viewing Booth and in a Real Room, Modelling of Colour Quality, Modelling of Colour Quality According to Luo, Houser, Wei, Royer, Effect of Red Oversaturation
Preferred White Points
Preferred Correlated Colour Temperatures
Preferred Ranges of Colour Temperature and Illuminance

7. CORRELATION ANALYSIS OF THE NUMERIC METRICS OF HCL
Mathematical Analysis of the Correlations Between the Three Groups of Metrics: Visual Performance, Colour Quality Metrics and the Descriptors of Non-Visual Effects
the Um Numeric Method (Um1-Um2) Characterizing the Usefulness of Light Sources
Correlation Between Brightness Metrics and Cs

8. NEW MODELS OF LIGHTING QUALITY FOR VISUAL AND NON-VISUAL EFFECTS
New Models of Lighting Quality of the Tu Darmstadt 2019 Predicting Visual Clarity, Colour Preference and Scene Preference from Illuminance Level, Correlated Colour Temperature, Circadian Stimulus and A Measure of Object Chroma Enhancement

9. CAUSE-EFFECT RELATIONSHIPS IN HUMAN CENTRIC LIGHTING
Evaluation of HCL Literature from 1990 Until Today
Analysis and Summary of Field Studies About HCL in Offices, Schools, Hospitals, Industrial Lighting and the Practice of Light Therapy
Identification of Relevant Cause-Effect Relationships
Recommendations for Practical Lighting Engineering Design

10. PRACTICAL LIGHT MEASUREMENT METHODS FOR HCL APPLICATIONS
Computational Method for the Value of the Circadian Stimulus (Cs) from Conventional Illuminance, Tristimulus and Correlated Colour Temperature Measurements
Personal Dosimetry: Measurement of Cs with Colorimeters
Spatially Resolved Light Measurements in Interior Space

11. DAYLIGHT
Exterior Measurements -
Spectral Distribution of Radiation As A Function of Time of the Day and Time of the Year
Dynamics, Colorimetric and Circadian Characteristics
Effect of Daylight on Sleeping Quality, Alertness and Vitality
Detection and Reconstruction of Daylight
Daylight Compensation in Interior Space in Case of Different Weather Conditions
Studies Investigating the Effect of the Possibility of Seeing Exterior Space Through Windows

12. HCL TECHNOLOGY IN BUILDINGS
Full Spectrum and Sunlight Spectrum: A Spectral Analysis
Spectral Optimisation for Best Colour Quality and Optimum Total HCL Effect
Smart Lighting, Connectivity
Principles of Data Semantics to Process Different Formats to Achieve A Unique Computational Method in Cloud Servers
Network Architecture to Integrate Luminaire Systems with Other Building Systems
Building Sensor Technology: Co2 Sensors, Light and Colour Sensors, Motion Sensors, Ir Sensor Array, Weather Data
User Preference of Temperature and Air Quality in Interior Spaces
Dynamic Light and Lighting Control in Buildings

13. SUMMARY AND OUTLOOK