The Human’s Comfort Mystery—Supporting Energy Transition with Light-Color Dimmable Room Lighting
Abstract
:1. Introduction
RQ: Can light-color dimmable room lighting support the energy transition and offer energy flexibility potential?
2. Theoretical Background
2.1. Sector-Coupled Energy Efficiency and Flexibility
2.2. Real Options Analysis
3. Light Color’s Effect on Human’s Comfort Perception
4. Case Study for a German Industrial Facility
4.1. Data and Simulation Object
4.2. Simulation Setup
5. Results and Discussion
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Tcvetkov, P. Climate Policy Imbalance in the Energy Sector: Time to Focus on the Value of CO2 Utilization. Energies 2021, 14, 411. [Google Scholar] [CrossRef]
- Kühn, M.; Ask, M.; Juhlin, C.; Bruckman, V.J.; Kempka, T.; Martens, S. Interdisciplinary Approaches in Resource and Energy Research to Tackle the Challenges of the Future. Energy Procedia 2016, 97, 1–6. [Google Scholar] [CrossRef]
- Hirsh, R.F.; Jones, C.F. History’s contributions to energy research and policy. Energy Res. Soc. Sci. 2014, 1, 106–111. [Google Scholar] [CrossRef]
- Rusche, S.; Rockstuhl, S.; Wenninger, S. Quantifizierung unternehmerischer Nachhaltigkeit in der Fertigungsindustrie: Entwicklung eines zielorientierten Nachhaltigkeitsindex. Z Energ. 2021, 45, 317–343. [Google Scholar] [CrossRef]
- Bachmann, A.; Bank, L.; Bark, C.; Bauer, D.; Blöchl, B.; Brugger, M.; Buhl, H.U.; Dietz, B.; Donnelly, J.; Friedl, T.; et al. Energieflexibel in Die Zukunft—Wie Fabriken zum Gelingen der Energiewende Beitragen Können; VDI Verlag: Düsseldorf, Germany, 2021. [Google Scholar]
- Bauer, D.; Hieronymus, A.; Kaymakci, C.; Köberlein, J.; Schimmelpfennig, J.; Wenninger, S.; Zeiser, R. Wie IT die Energieflexibilitätsvermarktung von Industrieunternehmen ermöglicht und die Energiewende unterstützt. HMD 2021, 58, 102–115. [Google Scholar] [CrossRef]
- Nasir, T.; Bukhari, S.S.H.; Raza, S.; Munir, H.M.; Abrar, M.; Muqeet, H.A.u.; Bhatti, K.L.; Ro, J.-S.; Masroor, R. Recent Challenges and Methodologies in Smart Grid Demand Side Management: State-of-the-Art Literature Review. Math. Probl. Eng. 2021, 2021, 1–16. [Google Scholar] [CrossRef]
- Federal Ministry for Economic Affairs and Energy. Energiedaten: Gesamtausgabe: Stand: Oktober 2019. Available online: https://www.bmwi.de/Redaktion/DE/Downloads/Energiedaten/energiedaten-gesamt-pdf-grafiken.pdf?__blob=publicationFile&v=34 (accessed on 29 August 2021).
- Lund, H.; Möller, B.; Mathiesen, B.V.; Dyrelund, A. The role of district heating in future renewable energy systems. Energy 2010, 35, 1381–1390. [Google Scholar] [CrossRef]
- Brambilla, A.; Hu, W.; Samangouei, R.; Cadorin, R.; Davis, W. How correlated colour temperature manipulates human thermal perception and comfort. Build. Environ. 2020, 177, 106929. [Google Scholar] [CrossRef]
- Fridgen, G.; Keller, R.; Körner, M.-F.; Schöpf, M. A holistic view on sector coupling. Energy Policy 2020, 147, 111913. [Google Scholar] [CrossRef]
- Aghniaey, S.; Lawrence, T.M. The impact of increased cooling setpoint temperature during demand response events on occupant thermal comfort in commercial buildings: A review. Energy Build. 2018, 173, 19–27. [Google Scholar] [CrossRef]
- Lindner, M.; Wenninger, S.; Fridgen, G.; Weigold, M. Aggregating Energy Flexibility for Demand-Side Management in Manufacturing Companies—A Two-Step Method. In Production at the Leading Edge of Technology; Behrens, B.-A., Brosius, A., Drossel, W.-G., Hintze, W., Ihlenfeldt, S., Nyhuis, P., Eds.; Springer International Publishing: Cham, Switzerland, 2022; pp. 631–638. ISBN 978-3-030-78423-2. [Google Scholar]
- Strüker, J.; Weibelzahl, M.; Körner, M.-F.; Kießling, A.; Franke-Sluijk, A.; Hermann, M. Dekarbonisierung durch Digitalisierung: Thesen zur Transformation der Energiewirtschaft; University Bayreuth: Bayreuth, Germany, 2021. [Google Scholar]
- Choi, W.; Yoo, E.; Seol, E.; Kim, M.; Song, H.H. Greenhouse gas emissions of conventional and alternative vehicles: Predictions based on energy policy analysis in South Korea. Appl. Energy 2020, 265, 114754. [Google Scholar] [CrossRef]
- Lund, H.; Østergaard, P.A.; Connolly, D.; Ridjan, I.; Mathiesen, B.V.; Hvelplund, F.; Thellufsen, J.Z.; Sorknæs, P. Energy Storage and Smart Energy Systems. 3-14 Pages. Int. J. Sustain. Energy Plan. Manag. 2016, 11, 3–14. [Google Scholar] [CrossRef]
- Wenninger, S.; Kaymakci, C.; Wiethe, C.; Römmelt, J.; Baur, L.; Häckel, B.; Sauer, A. How Sustainable is Machine Learning in Energy Applications?—The Sustainable Machine Learning Balance Sheet. In Proceedings of the International Conference on Wirtschaftsinformatik, Nürnberg, Germany, 21–23 February 2022. [Google Scholar]
- Kaymakci, C.; Wenninger, S.; Sauer, A. Energy Anomaly Detection in Industrial Applications with Long Short-term Memory-based Autoencoders. Procedia CIRP 2021, 104, 182–187. [Google Scholar] [CrossRef]
- Wenninger, S.; Wiethe, C. Benchmarking Energy Quantification Methods to Predict Heating Energy Performance of Residential Buildings in Germany. Bus. Inf. Syst. Eng. 2021, 63, 223–242. [Google Scholar] [CrossRef]
- Wenninger, S.; Kaymakci, C.; Wiethe, C. Explainable long-term building energy consumption prediction using QLattice. Appl. Energy 2022, 308, 118300. [Google Scholar] [CrossRef]
- Watson, R.T.; Boudreau, M.-C.; van Iersel, M.W. Simulation of greenhouse energy use: An application of energy informatics. Energy Inf. 2018, 1, 1–14. [Google Scholar] [CrossRef] [Green Version]
- The US Department of Energy. Benefits of Demand Response in Electricity Markets and Recommendations for Achieving Them. A Report of the United States Congress Pursuant to Section 1252 of the Energy Policy Act of 2005; U.S. Department of Energy: Washington, DC, USA, 2006.
- Müller, T.; Möst, D. Demand Response Potential: Available when Needed? Energy Policy 2018, 115, 181–198. [Google Scholar] [CrossRef]
- Bank, L.; Wenninger, S.; Köberlein, J.; Lindner, M.; Kaymakci, C.; Weigold, M.; Sauer, A.; Schilp, J. Integrating Energy Flexibility in Production Planning and Control—An Energy Flexibility Data Model-Based Approach. In Proceedings of the Conference on Production Systems and Logistics: CPSL 2021, Hannover, Germany, 10–11 August 2021; pp. 668–677. [Google Scholar]
- Murthy Balijepalli, V.S.K.; Pradhan, V.; Khaparde, S.A. Review of Demand Response under Smart Grid Paradigm; IEEE: Kollam, India, 2011; ISBN 9781467303156. [Google Scholar]
- Buhl, H.U.; Gabrek, N.; Gerdes, J.-N.; Kaymakci, C.; Rauland, K.; Richter, F.; Sauer, A.; Schneider, C.; Schott, P.; Seifermann, S.; et al. Industrial Flexibility Options and Their Applications in A Future Energy System; White Paper; Federal Ministry of Education and Research: Sankt Augustin, Germany, 2021. [Google Scholar]
- Kogut, B.; Kulatilaka, N. Operating Flexibility, Global Manufacturing, and the Option Value of a Multinational Network. Manag. Sci. 1994, 40, 123–139. [Google Scholar] [CrossRef]
- Schwartz, E.S.; Trigeorgis, L. (Eds.) Real Options and Investment under Uncertainty: Classical Readings and Recent Contributions; MIT Press: Cambridge, MA, USA, 2004; ISBN 0262194465. [Google Scholar]
- Dixit, A.K.; Pindyck, R.S. Investment under Uncertainty; Princeton University Press: Princeton, NJ, USA, 1994. [Google Scholar]
- Cox, J.C.; Ross, S.A.; Rubinstein, M. Option pricing: A simplified approach. J. Financ. Econ. 1979, 7, 229–263. [Google Scholar] [CrossRef]
- Te Kulve, M.; Schlangen, L.; van Marken Lichtenbelt, W. Interactions between the perception of light and temperature. Indoor Air 2018, 28, 881–891. [Google Scholar] [CrossRef] [Green Version]
- Mahmoud, S.; Zayed, T.; Fahmy, M. Development of sustainability assessment tool for existing buildings. Sustain. Cities Soc. 2019, 44, 99–119. [Google Scholar] [CrossRef]
- Bellia, L.; d’Ambrosio Alfano, F.R.; Fragliasso, F.; Palella, B.I.; Riccio, G. On the interaction between lighting and thermal comfort: An integrated approach to IEQ. Energy Build. 2021, 231, 110570. [Google Scholar] [CrossRef]
- Fanger, P.O.; Breum, N.O.; Jerking, E. Can colour and noise influence man’s thermal comfort? Ergonomics 1977, 20, 11–18. [Google Scholar] [CrossRef] [PubMed]
- Albers, F.; Maier, J.; Marggraf-Micheel, C. In search of evidence for the hue-heat hypothesis in the aircraft cabin. Lighting Res. Technol. 2015, 47, 483–494. [Google Scholar] [CrossRef] [Green Version]
- Winzen, J.; Albers, F.; Marggraf-Micheel, C. The influence of coloured light in the aircraft cabin on passenger thermal comfort. Lighting Res. Technol. 2014, 46, 465–475. [Google Scholar] [CrossRef] [Green Version]
- Toftum, J.; Thorseth, A.; Markvart, J.; Logadóttir, Á. Occupant response to different correlated colour temperatures of white LED lighting. Build. Environ. 2018, 143, 258–268. [Google Scholar] [CrossRef]
- Baniya, R.R.; Tetri, E.; Virtanen, J.; Halonen, L. The effect of correlated colour temperature of lighting on thermal sensation and thermal comfort in a simulated indoor workplace. Indoor Built Environ. 2018, 27, 308–316. [Google Scholar] [CrossRef]
- DIN V 4108-6:2003-06, Wärmeschutz und Energie-Einsparung in Gebäuden_-Teil_6: Berechnung des Jahresheizwärme- und des Jahresheizenergiebedarfs; Beuth Verlag GmbH: Berlin, Germany, 2003.
- DIN V 4701-10:2003-08, Energetische Bewertung Heiz- und Raumlufttechnischer Anlagen_- Teil_10: Heizung, Trinkwassererwärmung, Lüftung; Beuth Verlag GmbH: Berlin, Germany, 2003.
- Federal Ministry for Economic Affairs and Energy. Erneuerbare Energien in Zahlen: Nationale und Internationale Entwicklung im Jahr 2019. Available online: https://www.bmwi.de/Redaktion/DE/Publikationen/Energie/erneuerbare-energien-in-zahlen-2019.pdf?__blob=publicationFile&v=6 (accessed on 30 August 2021).
- Deutscher Wetterdienst. Weather data of Augsburg (Germany) in hourly resolution. 2022. Available online: https://opendata.dwd.de/climate_environment/CDC/observations_germany/climate/hourly/air_temperature/historical/stundenwerte_TU_00232_19550101_20201231_hist.zip. (accessed on 10 January 2022).
- Federal Institute for Occupational Safety and Health. Technische Regeln für Arbeitsstätten: ASR A3.5 Raumtemperatur; 2021. Available online: https://www.baua.de/DE/Angebote/Rechtstexte-und-Technische-Regeln/Regelwerk/ASR/ASR-A3-5.html (accessed on 10 January 2022).
- Miller, N.J.; Leon, F.A. OLED Lighting Products: Capabilities, Challenges, Potential; 2016. Available online: https://www.osti.gov/biblio/1374109 (accessed on 10 January 2022).
- Rockstuhl, S.; Wenninger, S.; Wiethe, C.; Häckel, B. Understanding the risk perception of energy efficiency investments: Investment perspective vs. energy bill perspective. Energy Policy 2021, 159, 112616. [Google Scholar] [CrossRef]
- Ahlrichs, J.; Rockstuhl, S.; Tränkler, T.; Wenninger, S. The impact of political instruments on building energy retrofits: A risk-integrated thermal Energy Hub approach. Energy Policy 2020, 147, 111851. [Google Scholar] [CrossRef]
Source | Study’s Focus | Implications/Recommendations for Energy Savings |
---|---|---|
[10] | Investigation of the influence of light color on human temperature perception in an office-like laboratory climate chamber at the University of Sydney with 45 subjects. | Reductions in energy consumption might results due to higher heating, ventilation, and air conditioning (HVAC) set-points in summer. No further quantification of savings in energy consumption. |
[33] | Verification of the effect of light color on thermal perception and indoor environmental quality in a mechanically conditioned test room and 163 volunteers. | Notable savings in energy consumption might result and influence indoor environment quality. No further quantification of savings in energy consumption. |
[34] | Investigation of the influence of light color and noise und humans’ thermal comfort. | The effect of light color may be too small for practical significance. |
[35] | Examination of the influence of colored light on aircraft passengers’ temperature perception with 199 subjects in a single-aisle aircraft test environment. | The savings can be quite substantial when accumulated over multiple aircrafts. No further quantification of savings in energy consumption. |
[36] | Examination of the influence of colored light on aircraft passengers’ temperature perception in a mock-up cabin of a single-aisle aircraft with 59 subjects. | Light color might help to improve passengers’ overall comfort and result in energy savings. No further quantification of savings in energy consumption. |
[37] | Investigation of the effect of light color on temperature perception in a controlled environment chamber at the Technical University of Denmark with 44 subjects. | Changing light color might reduce energy consumption of an office building by around 8%. |
[38] | Investigation of the influence of light color on temperature perception in a test room at Aalto University in Finland with 16 subjects. | The effect found in the previously listed studies was not confirmed. Energy savings may not be possible without compromising thermal comfort. |
Parameter | Value |
---|---|
Method | Real Options Analysis based on Binomial Trees |
Electricity price data | German Day-Ahead spot market prices (2017/2018) |
Temperature data | Deutscher Wetterdienst (DWD): Location Augsburg [42] |
Industrial production facility data: Coefficient of performance | 3.76 |
Industrial production facility data: Production area | 600 m2 |
Industrial production facility data: Heat transmission coefficient | = 1/6 |
Simulation Run (I) | Simulation Run (II) | Simulation Run (III) | |
---|---|---|---|
Heating cost | EUR 22,213.96 | EUR 20,800.08 | EUR 19,454.68 |
CO2-eq emission savings of simulation run (III) per year | 34,205.23 tons | 17,811.85 tons | 0.0 tons |
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Wenninger, S.; Wiethe, C. The Human’s Comfort Mystery—Supporting Energy Transition with Light-Color Dimmable Room Lighting. Sustainability 2022, 14, 2311. https://doi.org/10.3390/su14042311
Wenninger S, Wiethe C. The Human’s Comfort Mystery—Supporting Energy Transition with Light-Color Dimmable Room Lighting. Sustainability. 2022; 14(4):2311. https://doi.org/10.3390/su14042311
Chicago/Turabian StyleWenninger, Simon, and Christian Wiethe. 2022. "The Human’s Comfort Mystery—Supporting Energy Transition with Light-Color Dimmable Room Lighting" Sustainability 14, no. 4: 2311. https://doi.org/10.3390/su14042311