Energy and thermal load analysis of exposed brick houses on the coast

  • Hermawan Hermawan Department of Architecture, Faculty of Engineering and Computer Science, Universitas Sains Al-Qur’an, Wonosobo 56351, Indonesia
  • Jozef Svajlenka orcid Departmen of Construction Technology and Management, Faculty of Civil Engineering, Technical University of Košice, 04200 Košice, Slovakia
  • Elina Mohd Husini orcid Faculty of Engineering and Built Environment, Universiti Sains Islam Malaysia, Nilai, Malaysia
  • Dwi Aryanto Department of Architecture, Faculty of Engineering and Computer Science, Universitas Sains Al-Qur’an, Wonosobo 56351, Indonesia
  • Annisa Nabila Arrizqi orcid Department of Civil Engineering, Faculty of Engineering and Planning, Universitas Islam Indonesia, Yogyakarta 55584, Indonesia
Article ID: 1632
Keywords: architecture, energy, beach, local, material

Abstract

Energy conservation is an issue that is still being discussed in the architectural realm to create zero-net energy buildings. Buildings are considered to be significant contributors to energy waste, so they are a concern for experts in energy conservation issues. Buildings in hot areas require large amounts of energy in building operations. One of the hot areas is the coastal area. Residential houses on the coast of Indonesia use exposed brick materials. Energy use for buildings with exposed brick walls must be studied to create energy-efficient coastal buildings. The study aims to reveal the energy use and thermal load of residential houses with exposed brick walls on the coast. The study uses a simulation method using the Revit application. Data is obtained from a combination of field data and the Revit application. The analysis uses energy use analysis and cooling load analysis. Energy use analysis includes building performance factors, energy use intensity, life cycle energy use/cost, renewable energy potential, annual carbon emissions, and annual energy use/cost. The study results show that the energy use of residential houses in Demak is more significant than in Jepara. The characteristic of Demak, which has a higher air temperature than Jepara, is the main factor causing substantial energy use. Another condition is the architectural elements in each house that affect the thermal load on the building. The main findings obtained are that high air temperatures influence significant energy use. The shape of the building and ventilation elements of houses in Demak increase the air temperature in the room compared to houses in Jepara. Recommendations that need to be made are that when making a house, it needs to be designed to suit environmental conditions. The values of local wisdom in an area need to be maintained to increase the architectural value by providing thermal comfort for its occupants.

Published
2025-07-06
How to Cite
Hermawan, H., Svajlenka, J., Husini, E. M., Aryanto, D., & Arrizqi, A. N. (2025). Energy and thermal load analysis of exposed brick houses on the coast. Building Engineering, 3(3). https://doi.org/10.59400/be1632
Section
Article

References

[1]Álvarez-Sanz M, Satriya FA, Terés-Zubiaga J, et al. Ranking building design and operation parameters for residential heating demand forecasting with machine learning. J Build Eng. 2024; 86. doi: 10.17632/pybn6gb2m6.2

[2]Liang Y, Wu H, Yang J, Huang G. Local thermal environment and thermal comfort of a novel low-temperature radiant structure using CFD simulation. Energy and Buildings. 2024; 308. doi: 10.1016/j.enbuild.2024.114007

[3]Ukey R, Rai AC. Envelope retrofits for enhancing thermal comfort in detached houses in hot semi-arid climatic conditions: A year-long monitoring and simulation study. Build Environ. 2024; 257.

[4]Thapa S, Zaki SA. Investigation of indoor thermal comfort and energy demand in different locations along the sub-Himalayan belt—A simulation based study. J Therm Biol. 2024; 120.

[5]Hu J, Wang Y, Su L, et al. Analysis of the non-uniform thermal environment of local floor and ceiling radiant heating: Numerical simulation and thermal comfort experiment. Build Environ. 2024; 262.

[6]Abdeen A, Mushtaha E, Hussien A, et al. Simulation-based multi-objective genetic optimization for promoting energy efficiency and thermal comfort in existing buildings of hot climate. Results Eng. 2024; 21.

[7]Iskandar L, Bay-Sahin E, Martinez-Molina A, Toker BS. Evaluation of passive cooling through natural ventilation strategies in historic residential buildings using CFD simulations. Energy Build. 2024; 308. doi: 10.1016/j.enbuild.2024.114005

[8]Köse ME, Manioğlu G. A simulation-based evaluation of using PCMs in buildings for energy efficiency under different climate conditions. J Energy Storage. 2024; 75.

[9]Cheng Z, Xu J, Lu Y. Heat transfer simulation of electric heating fabric system and parametric design: Towards human thermal comfort and energy efficiency. Energy Build. 2024; 306(10): 113917. doi: 10.1016/j.enbuild.2024.113917

[10]Velashjerdi FA, Jokisalo J, Korhonen N, et al. Simulation analysis of Finnish residential buildings’ resilience to hot summers under a changing climate. J Build Eng. 2024; 82(6): 108348. doi: 10.1016/j.jobe.2023.108348

[11]Mahlan S, Francis A, Thumuganti V, et al. An integrated life cycle assessment and energy simulation framework for residential building walling systems. Build Environ. 2024; 257:111542. doi: 10.1016/j.buildenv.2024.111542

[12]Hu Y, Ai Z, Wargocki P, et al. Ventilative cooling of residential buildings in China: A simulation-based evaluation of lightweight modular integrated constructions considering climate change. Energy Build. 2024; 317:114382. doi: 10.1016/j.enbuild.2024.114382

[13]Hermawan, Sunaryo, Kholil A. A thermal performance comparison of residential envelopes at the tropical highland for occupants’ thermal comfort. IOP Conf Ser Earth Environ Sci. 2018; 200(1). doi: 10.1088/1755-1315/200/1/012034

[14]Oh G, Yang M, Choi JI. Large-eddy simulation-based wind and thermal comfort assessment in urban environments. J Wind Eng Ind Aerodyn. 2024; 246: 105682.

[15]Antoniou N, Montazeri H, Blocken B, Neophytou M. On the impact of climate change on urban microclimate, thermal comfort, and human health: Multiscale numerical simulations. Build Environ. 2024; 260: 111690.

[16]Banerjee S, Pek RXY, Yik SK, et al. Assessing impact of urban densification on outdoor microclimate and thermal comfort using ENVI-met simulations for Combined Spatial-Climatic Design (CSCD) approach. Sustain Cities Soc. 2024; 105: 105302.

[17]Feng L, Shuai L, Zhou Y, et al. Improving the green space arrangement in residential areas from the perspective of tree leaf temperature utilizing scenario simulation in ENVI-met. Sci Total Environ. 2024; 918: 170650. doi: 10.1016/j.scitotenv.2024.170650

[18]Abdolvand M, Nezhad A, Bambach M, Dias-da-Costa D. Integrated climate-responsive thermal load ML model and cost/embodied energy estimate from a preliminary building design. Energy Build. 2024; 304: 113837. doi: 10.1016/j.enbuild.2023.113837

[19]Cirocco L, Pudney P, Riahi S, et al. Thermal energy storage for industrial thermal loads and electricity demand side management. Energy Convers Manag. 2022; 270: 116190. doi: 10.1016/j.enconman.2022.116190

[20]Kong G, Chen Y, Wang L, et al. Seasonal performance of an energy pile heat pump system and prediction of building thermal load. Appl Therm Eng. 2024; 241(8): 122359. doi: 10.1016/j.applthermaleng.2024.122359

[21]de Azevedo CCM, Amorim CND, Santamouris M. Use of passive cooling techniques and super cool materials to minimize cooling energy and improve thermal comfort in Brazilian schools. Energy Build. 2024; 312.

[22]Chiesa M, Urgnani R, Marzuoli R, et al. Site- and house-specific and meteorological factors influencing exchange of particles between outdoor and indoor domestic environments. Build Environ. 2019; 160:106181. doi: 10.1016/j.buildenv.2019.106181

[23]Es-sakali N, Idrissi KS, Ait LI, et al. Static and dynamic glazing integration for enhanced building efficiency and indoor comfort with thermochromic and electrochromic windows. Therm Sci Eng Prog. 2024; 52: 102681. doi: 10.1016/j.tsep.2024.102681

[24]Ezeh CI, Hong Y, Deng W, Zhao H. High rise office building makeovers—Exploiting architectural and engineering factors in designing sustainable buildings in different climate zones. Energy Reports. 2022; 8: 6396–6410. doi: 10.1016/j.egyr.2022.04.075

[25]Naldi C, Dongellini M, Morini GL, di Schio ER. The adoption of pressure independent control valves (PICVs) for the simultaneous optimization of energy consumption and comfort in buildings. Energy Build [Internet]. 2023; 287: 112969. doi: 10.1016/j.enbuild.2023.112969

[26]Yu FW, Ho WT. Optimizing hybrid ventilation and daylight-linked dimming control for carbon reduction and thermal comfort in a subtropical high-rise office building. Clean Energy Syst. 2024; 7. doi: 10.1016/j.cles.2023.100096

[27]Li R, Luo L, Li X, et al. Multi-objective optimization for generative morphological design using energy and comfort models with a practical design of new rural community in China. Energy Build. 2024; 313: 114282. doi: doi.org/10.1016/j.enbuild.2024.114282