Lighting configuration plays a major role in controlling visual comfort and lighting consumption in building. Many studies have focused on the lighting energy consumption of office buildings and institutions but there is still a lack of studies that have focused on open structure buildings such as Rest and Service Areas for Highway (RSAs). RSAs are highway facility which lighting layout of the building tends to adapt conventional lighting design approaches, resulting in energy wastage. Knowing the scorching and humid climate in Malaysia throughout the year, there is a high opportunity to harvest natural daylight and reduce artificial lighting consumption. The existing lighting performance of the building showed a very high luminance levels, for which the optimum lighting illuminance should be proposed. Hence, this study aims to analyse the optimum lighting configuration of RSAs Ayer Keroh Northbound Malaysia by modify on the existing lighting’s layout of the building. The illuminance performance and lighting energy consumption is identified by using RELUX desktop and DesignBuilder software respectively. Next, the study proposed a new lighting layout for reduce energy consumption and provide an optimum visual comfort for users. The building geometry is modelled by Autodesk Revit and Building Energy Index was determined by Insight 360. The result from proposed lighting layout demonstrated significant energy saving potential, achieving a 24% reduction in total annual lighting load and RM 48,432 annually was saved from electricity cost.
REFERENCES(37)
1.
Szymczak-Graczyk, A, Kalka, J and Ksit, B 2024. Evolution of Energy Efficiency of Buildings Using the Guidelines of the European Green Deal Plan. Civil and Environmental Engineering Reports 34, 16–30.
Bulbaai, R R and Halman, J IM 2023. Standby energy consumption and saving potentials in the residential sector in tropical areas: the Caribbean island Curaçao as a case study. Energy Efficiency, 16, 34-35.
van Oorschot, JAW, Halman, JIM and Hofman, E 2021. The adoption of green modular innovations in the Dutch housebuilding sector. Journal of Cleaner Production, 319, 128524.
Romo-Martín, A and Pérez-Acebo, H 2018 Analysis of the Location of Service and Rest Areas and their facilities in Spanish paying motorways. Transportation Research Procedia, 33, 4–11.
Zakaria, R, Seng, FK, Muhd, MZ, Zin, RM, Hainin, MR, Puan, OC and Moayedi, F 2013. Energy efficiency criteria for green highways in Malaysia. Jurnal Teknologi (Sciences and Engineering), 65, 91–95.
Husin, NI, Julaihi, FA, Rais, SL, A Redzuan, AF, and Bidin, ZA 2024. an Integrated Analysis of Green Highway Assessment Criteria for Sustainable Infrastructure Development. Planning Malaysia, 22, 397–411.
Balubaid, S, Bujang, M, Aifa, WN, Seng, FK, Rooshdi, RRR, M, Hamzah, N and Ismail, HH 2015. Assessment index tool for green highway in Malaysia. Jurnal Teknologi, 77, 99–104.
Bryce, J 2008. Developing Sustainable Transportation Infrastructure. Exploring the Development and Implementation of a Green Highway Rating System, 21.
Zakaria, MNA Bin A 2020. MyGHI and PHJKR Comparison for Succeeding Criteria on Sustainable Road Design and Construction Activities of Road Green Tools.
Gavioli, M, Tetri, E, Baniya, RR and Halonen, L 2015. Lighting Retrofitting : Improving Energy Efficiency and. 28th CIE Session, June 28 – July 4, 1903–1911.
Pan, Y, Zhu, M, Lv, Y, Yang, Y, Liang, Y, Yin, R and Yuan, X 2023. Building energy simulation and its application for building performance optimization: A review of methods, tools, and case studies. Advances in Applied Energy, 10, 100135.
Yu, X, Su, Y and Chen, X 2014. Application of RELUX simulation to investigate energy saving potential from daylighting in a new educational building in UK. Energy and Buildings, 74, 191–202.
Zhu, P, Gilbride, M, Yan, D, Sun, H, and Meek, C 2017. Lighting energy consumption in ultra-low energy buildings: Using a simulation and measurement methodology to model occupant behavior and lighting controls. Building Simulation, 10, 799–810.
Ferrari, S and Beccali, M 2017. Energy-environmental and cost assessment of a set of strategies for retrofitting a public building toward nearly zero-energy building target. Sustainable Cities and Society, 32, 226–234.
Dabe, TJ and Adane, VS 2018. The impact of building profiles on the performance of daylight and indoor temperatures in low-rise residential building for the hot and dry climatic zones. Building and Environment, 140, 173–183.
Dai, Q, Huang, Y, Hao, L, Lin, Y and Chen, K 2018. Spatial and spectral illumination design for energy-efficient circadian lighting. Building and Environment, 146(August), 216–225.
Tahir, MZ, Nawi, MNM and Ibrahim, A 2016. Low-cost and no-cost practice to achieve energy efficiency of government office buildings: A case study in federal territory of Malaysia. AIP Conference Proceedings, 1761.
Maamari, F, Fontoynont, M and Adra, N 2006. Application of the CIE test cases to assess the accuracy of lighting computer programs. Energy and Buildings, 38, 869–877.
Ivanova, I, Kiesel, K and Mahdavi, A 2015. BIM-generated data models for EnergyPlus: A comparison of gbXML and IFC formats. Building Simulation Applications, 2015-Febru, 407–414.
Skiba, M and Rzeszowska, N 2017. Analysis of the Dependence between Energy Demand Indicators in Buildings Based on Variants for Improving Energy Efficiency in a School Building. Civil and Environmental Engineering Reports, 26, 31–41.
Aun, CS 2009. GREEN BUILDING INDEX – MS1525: Applying MS1525:2007 Code of Practice on Energy Efficiency and Use of Renewable Energy for Non-Residential Buildings. GBI CPD Seminar, 1–22.
Pandharipande, A and Caicedo, D 2015. Smart indoor lighting systems with luminaire-based sensing: A review of lighting control approaches. Energy and Buildings, 104, 369–377.
Fernandez-Prieto, D and Hagen, H 2017. Visualization and Analysis of Lighting Design Alternatives in Simulation Software. Applied Mechanics and Materials, 869, 212–225.
Bhavani, RG and Khan, MA 2011. Advanced Lighting Simulation Tools for Daylighting Purpose: Powerful Features and Related Issues. Trends in Applied Sciences Research, 6, 345–363.
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.