Optimization and dynamic techno-economic analysis of a novel PVT-based smart building energy system

Amirmohammad Behzadi*, Ahmad Arabkoohsar, Yongheng Yang

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

28 Citations (Scopus)


There is a variety of solar-based energy system designs for buildings. Although these systems are economically profitable, reducing the energy cost of the buildings over time, their penetration has not been that impressive yet due to their high initial cost. In this study, an energy system comprising a few PVT panels (without any batteries) and a heat storage tank is proposed and investigated for smart buildings with two-way interactions with both heat and electricity grids. Removing the battery from the system would result in a sharp reduction of the cost of the system and, thereby, will make incentives for the end-users to adopt the solution. This novel system will not only supply the buildings’ real-time electricity and domestic hot water needs but also will compensate for a significant portion of the buildings’ energy expenses by selling the surplus generations to the electricity and heat networks. The dynamic model of the proposed system is comprehensively analyzed from thermodynamic and economic points of view using TRNSYS software. Additionally, defining the overall annual exergy efficiency, and the total product cost as the objective functions, optimization of the design and size of the system employing the TRNOPT tool has been done. It is shown that the optimized system results in 16.7 €/MWh and 7.7 €/MWh lower energy costs for electricity and heat of the buildings compared to when the buildings’ demand is only supplied by heat and electricity grids.
Original languageEnglish
Article number115926
JournalApplied Thermal Engineering
Number of pages12
Publication statusPublished - Nov 2020


  • Dynamic simulation
  • Exergy and cost optimization
  • PVT panels
  • Smart building energy systems
  • Thermodynamic analysis


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