Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | BS 2021 - Proceedings of Building Simulation 2021 |
| Subtitle of host publication | 17th Conference of IBPSA |
| Editors | Dirk Saelens, Jelle Laverge, Wim Boydens, Lieve Helsen |
| Publisher | International Building Performance Simulation Association |
| Pages | 3276-3283 |
| Number of pages | 8 |
| ISBN (Electronic) | 9781775052029 |
| DOIs | |
| Publication status | Published - 2022 |
| Event | 17th IBPSA Conference on Building Simulation, BS 2021 - Bruges, Belgium Duration: 2021 Sept 1 → 2021 Sept 3 |
Publication series
| Name | Building Simulation Conference Proceedings |
|---|---|
| ISSN (Print) | 2522-2708 |
Conference
| Conference | 17th IBPSA Conference on Building Simulation, BS 2021 |
|---|---|
| Country/Territory | Belgium |
| City | Bruges |
| Period | 21/9/1 → 21/9/3 |
Bibliographical note
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
ASJC Scopus subject areas
- Building and Construction
- Architecture
- Modelling and Simulation
- Computer Science Applications
