Frontiers in Business Innovations and Management

Smart and Sustainable Building Systems: Integrating Renewable Energy and MEP Technologies for Energy-Efficient Built Environments

Articles Vol. 3 No. 10 (2026): Volume 03 Issue 10 Pages: 08-16

Authors

  • Dr. Emre Yılmaz Department of Business Administration, Faculty of Economics and Administrative Sciences, Marmara University, Istanbul, Turkey

DOI

Keywords

Smart buildings Sustainable buildings Renewable energy MEP systems Building energy efficiency Building automation Energy management Energy storage Artificial intelligence Hybrid energy systems

Abstract

The increasing energy demand of buildings, rapid urbanization, climate-related pressures, and growing requirements for occupant comfort have intensified the need for building systems that integrate energy efficiency, renewable energy, mechanical, electrical, and plumbing (MEP) technologies, and intelligent control. Conventional building services are frequently designed as relatively independent subsystems, which can limit opportunities for coordinated energy management and reduce the effectiveness of renewable energy integration. This study develops an integrated analytical framework for smart and sustainable building systems by synthesizing research on smart buildings, renewable-energy technologies, hybrid energy systems, building automation, artificial intelligence, energy storage, and multi-energy building design. The methodology consists of a structured thematic synthesis of the supplied literature followed by a systems-level analysis of the interactions among building envelope and loads, renewable generation, MEP systems, storage, sensing, automation, and occupant-oriented control. The analysis identifies five central integration requirements: demand reduction, distributed renewable generation, flexible MEP operation, intelligent energy management, and storage-enabled coordination. The findings indicate that renewable generation alone does not constitute a smart or sustainable building; performance depends on the ability of building systems to coordinate generation, demand, thermal services, electrical services, and occupant requirements. Solar photovoltaic systems, hybrid renewable configurations, energy storage, smart HVAC operation, advanced building automation, and data-driven control can collectively improve system flexibility, but their benefits are constrained by site conditions, capital cost, interoperability, user preferences, and implementation barriers. The study proposes an integrated building-energy architecture in which MEP systems operate as active components of an intelligent energy ecosystem rather than as isolated technical services. The resulting framework provides a theoretical and practical basis for designing energy-efficient buildings capable of responding dynamically to renewable availability, occupancy, environmental conditions, and energy demand.

References

Abbass, K., Qasim, M. Z., Song, H., Murshed, M., Mahmood, H., & Younis, I. (2022). A review of the global climate change impacts, adaptation, and sustainable mitigation measures. Environmental Science and Pollution Research, 29(28), 42539-42559. https://doi.org/10.1007/s11356-022-19718-6

Abolarin, S. M., Shitta, M. B., Emmanuel, M. A., Nwosu, B. P., Aninyem, M. C., & Lagrange, L. (2022, February). An impact of solar PV specifications on module peak power and number of modules: A case study of a five-bedroom residential duplex. In IOP Conference Series: Earth and Environmental Science (Vol. 983, No. 1, p. 012056). IOP Publishing. https://doi.org/10.1088/1755-1315/983/1/012056

Addae, B. A., Zhang, L., Zhou, P., & Wang, F. (2019). Analyzing barriers of Smart Energy City in Accra with two-step fuzzy DEMATEL. Cities, 89, 218-227. https://doi.org/10.1016/j.cities.2019.01.043

Ahmadi-Karvigh, S., Ghahramani, A., Becerik-Gerber, B., & Soibelman, L. (2017). One size does not fit all: Understanding user preferences for building automation systems. Energy and Buildings, 145, 163-173. https://doi.org/10.1016/j.enbuild.2017.04.015

Akorede, M. F. (2022). Design and performance analysis of off-grid hybrid renewable energy systems. In Hybrid Technologies for Power Generation (pp. 35-68). Academic Press. https://doi.org/10.1016/B978-0-12-823793-9.00001-2

Alanne, K., & Sierla, S. (2022). An overview of machine learning applications for smart buildings. Sustainable Cities and Society, 76, 103445. https://doi.org/10.1016/j.scs.2021.103445

Ali, M. M., & Al-Kodmany, K. (2012). Tall buildings and urban habitat of the 21st century: a global perspective. Buildings, 2(4), 384-423. https://doi.org/10.3390/buildings2040384

Asaleye, D. A., Breen, M., & Murphy, M. D. (2017). A decision support tool for building integrated renewable energy microgrids connected to a smart grid. Energies, 10(11), 1765. https://doi.org/10.3390/en10111765

Avtar, R., Tripathi, S., Aggarwal, A. K., & Kumar, P. (2019). Population–urbanization–energy nexus: a review. Resources, 8(3), 136. https://doi.org/10.3390/resources8030136

Benavente-Peces, C. (2019). On the energy efficiency in the next generation of smart buildings—Supporting technologies and techniques. Energies, 12(22), 4399. https://doi.org/10.3390/en12224399

Bhuiyan, M. A., Zhang, Q., Khare, V., Mikhaylov, A., Pinter, G., & Huang, X. (2022). Renewable energy consumption and economic growth nexus—a systematic literature review. Frontiers in Environmental Science, 10, 878394. https://doi.org/10.3389/fenvs.2022.878394

Buckman, A.H., Mayfield, M., & Beck, B.M. (2014). What is a Smart Building? Smart and Sustainable Built Environment, 3(2), 92-109. https://doi.org/10.1108/SASBE-01-2014-0003

Canale, L., Di Fazio, A. R., Russo, M., Frattolillo, A., & Dell’Isola, M. (2021). An overview on functional integration of hybrid renewable energy systems in multi-energy buildings. Energies, 14(4), 1078. https://doi.org/10.3390/en14041078

Chanchangi, Y. N., Adu, F., Ghosh, A., Sundaram, S., & Mallick, T. K. (2023). Nigeria's energy review: Focusing on solar energy potential and penetration. Environment, Development and Sustainability, 25(7), 5755-5796. https://doi.org/10.1007/s10668-022-02308-4

Chatzigeorgiou, E., & Martinopoulos, G. (2023, June). Solar cadastre for assessment of near-zero energy districts. In IOP Conference Series: Earth and Environmental Science (Vol. 1196, No. 1, p. 012003). IOP Publishing. https://doi.org/10.1088/1755-1315/1196/1/012003

Chen, M., Zhang, H., Liu, W., & Zhang, W. (2014). The global pattern of urbanization and economic growth: evidence from the last three decades. PloS One, 9(8), e103799. https://doi.org/10.1371/journal.pone.0103799

Chen, Y. Y., Chen, M. H., Chang, C. M., Chang, F. S., & Lin, Y. H. (2021). A smart home energy management system using two-stage non-intrusive appliance load monitoring over fog-cloud analytics based on Tridium’s Niagara framework for residential demand-side management. Sensors, 21(8), 2883. https://doi.org/10.3390/s21082883

Chisale, S. W., & Lee, H. S. (2023). Evaluation of barriers and solutions to renewable energy acceleration in Malawi, Africa, using AHP and fuzzy TOPSIS approach. Energy for Sustainable Development, 76, 101272. https://doi.org/10.1016/j.esd.2023.101272

Choi, Y., Lee, C., & Song, J. (2017). Review of renewable energy technologies utilized in the oil and gas industry. International Journal of Renewable Energy Research, 7(2), 592-598. https://www.researchgate.net/publication/317949875_Review_of_renewable_energy_technologies_utilized_in_the_oil_and_gas_industry/link/599edfa0a6fdcc500355dc1f/download

Crawford, M. (2022, July 7). 8 hot applications of solar thermal power. American Society of Mechanical Engineers. https://www.asme.org/topics-resources/content/8-hot-applications-of-solar-thermal-power

Dresselhaus, M. S., & Thomas, I. L. (2001). Alternative energy technologies. Nature, 414(6861), 332-337. https://doi.org/10.1038/35104599

Dunn, B., Kamath, H., & Tarascon, J. M. (2011). Electrical energy storage for the grid: a battery of choices. Science, 334(6058), 928-935. https://doi.org/10.1126/science.1212741

Dweik, W., Abdalla, M., AlHroob, Y., AlMajali, A., Mustafa, S. A., & Abdel-Majeed, M. (2022). Skeleton of Implementing Voice Control for Building Automation Systems. Scientific Programming, 2022, 1-15. https://doi.org/10.1155/2022/6886086

Fabrizio, E., Corrado, V., & Filippi, M. (2010). A model to design and optimize multi-energy systems in buildings at the design concept stage. Renewable Energy, 35(3), 644-655. https://doi.org/10.1016/j.renene.2009.08.012

Farzaneh, H., Malehmirchegini, L., Bejan, A., Afolabi, T., Mulumba, A., & Daka, P. P. (2021). Artificial intelligence evolution in smart buildings for energy efficiency. Applied Sciences, 11(2), 763. https://doi.org/10.3390/app11020763

Firas, G., Maysoleen, A. A., & Rahdi, A. R. M. (2022). Adopting smart building concept in historical building: Case of Abu Jaber museum, Jordan. Architecture and Engineering, 7(3), 3-12. https://doi.org/10.23968/2500-0055-2022-7-3-03-12

Downloads

Published

2026-10-23

How to Cite

Yılmaz, D. E. (2026). Smart and Sustainable Building Systems: Integrating Renewable Energy and MEP Technologies for Energy-Efficient Built Environments. Frontiers in Business Innovations and Management, 3(10), 08–16. https://doi.org/10.64917/fbim/Vol3Iss10-02