TY - GEN
T1 - Design and analysis of a renewable energy network based on fuel cells in a residential community
AU - Byun, Jiwook
AU - Heo, Yeonsook
N1 - Funding Information:
This study evaluates the effect of mixing energy supply systems by creating three different network scenarios and compares their simulation results. The cases were evaluated using reliability indicators and cost indicators. Ultimately, the optimal combinations of design variables for each scenario were derived in terms of the economic value. In terms of reliability indicator for heat load, LPSPT,heat was more affected by the operational variables, whereas Difftemp were much more affected by the capacity variables in Scenario 1. In Scenario 2, the additional heat supply of GSHP improved the flexibility of heat supply and had a significant impact on both LPSPT,heat and Difftemp. In Scenario 3, the capacity of PV showed the highest effect, and unexpectedly the heat tank and set_plrall that are not related to electrical system also had a high effect on LPSPD,ele. This is due to operation duration of the fuel cell system; the larger heat tank capacity and the higher set_PLRall are, the longer the fuel cell system runs. In terms of cost analysis, the cases that satisfied the constraints (5% LPSPT,heat, 2℃ Difftemp) were analyzed. Scenario 1 resulted in the highest fuel cell capacity among all scenarios because fuel cell systems had to handle heat demand alone. In Scenario 2, the addition of GSHP reduced the fuel cell capacity and, consequently, capital cost and commercial gas billing. In Scenario 3, electrical systems (PV, battery) were added, which does not affect the heat network and the optimal values associated with heat supply systems were the same as those of Scenario 2. The total annual cost of Scenario 3 were much higher than the other scenarios because electricity load of this case study is a quarter of the heat load and electricity price in Korea is relatively cheaper than other countries. The results of cost analysis revealed that the optimal design solution of Scenario 2 was considered as the most economical design for this case study. Acknowledgement This work is supported by the Korea Agency for Infrastructure Technology Advancement (KAIA) grant funded by the Ministry of Land, Infrastructure and Transport (Grant 21HSCT-B157919-02). References Gunes, M. B., & Ellis, M. W. (2003). Evaluation of energy, environmental, and economic characteristics of fuel cell combined heat and power systems for residential applications. J. Energy Resour. Technol., 125(3), 208-220. Castañeda, M., Fernández, L. M., Sánchez, H., Cano, A., & Jurado, F. (2012). Sizing methods for stand-alone hybrid systems based on renewable energies and hydrogen. Proceedings from IEEE Mediterranean Electrotechnical Conference. Yasmine Hammamet(Tunisia), 25-28 March 2012 Askarzadeh, A., & dos Santos Coelho, L. (2015). A novel framework for optimization of a grid independent hybrid renewable energy system: A case study of Iran. Solar Energy, 112, 383-396.
Publisher Copyright:
© International Building Performance Simulation Association, 2022
PY - 2022
Y1 - 2022
N2 - This paper aims to develop a methodology to quantify the effects of different combinations of energy supply systems. A residential community with 12 households was modelled and simulated in TRNSYS to evaluate the performance of different power/heat network scenarios under dynamic electric and heat loads. The first scenario starts with gas-based fuel cell systems and heat tanks, and additional renewable energy systems such as PVs, batteries and geothermal systems were incrementally added to create different scenarios. The impact of capacity and operational variables on unmet demand was quantified by variance-based sensitivity analysis and scenario-specific optimal design, derived by economic analysis. The overall performance of the network was different depending on the scenario, but the scenario including fuel cells and GSHP system was selected as the most economical design in this case study.
AB - This paper aims to develop a methodology to quantify the effects of different combinations of energy supply systems. A residential community with 12 households was modelled and simulated in TRNSYS to evaluate the performance of different power/heat network scenarios under dynamic electric and heat loads. The first scenario starts with gas-based fuel cell systems and heat tanks, and additional renewable energy systems such as PVs, batteries and geothermal systems were incrementally added to create different scenarios. The impact of capacity and operational variables on unmet demand was quantified by variance-based sensitivity analysis and scenario-specific optimal design, derived by economic analysis. The overall performance of the network was different depending on the scenario, but the scenario including fuel cells and GSHP system was selected as the most economical design in this case study.
UR - http://www.scopus.com/inward/record.url?scp=85151509140&partnerID=8YFLogxK
U2 - 10.26868/25222708.2021.30884
DO - 10.26868/25222708.2021.30884
M3 - Conference contribution
AN - SCOPUS:85151509140
T3 - Building Simulation Conference Proceedings
SP - 3276
EP - 3283
BT - BS 2021 - Proceedings of Building Simulation 2021
A2 - Saelens, Dirk
A2 - Laverge, Jelle
A2 - Boydens, Wim
A2 - Helsen, Lieve
PB - International Building Performance Simulation Association
T2 - 17th IBPSA Conference on Building Simulation, BS 2021
Y2 - 1 September 2021 through 3 September 2021
ER -
