Parameter Calibration for a TRNSYS BIPV Model Using In Situ Test Data
Installing renewable energy systems for zero-energy buildings has become increasingly common; building integrated photovoltaic (BIPV) systems, which integrate PV modules into the building envelope, are being widely selected as renewable systems. In particular, owing to the rapid growth of informatio...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-09-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/13/18/4935 |
| _version_ | 1797553140255424512 |
|---|---|
| author | Sang-Woo Ha Seung-Hoon Park Jae-Yong Eom Min-Suk Oh Ga-Young Cho Eui-Jong Kim |
| author_facet | Sang-Woo Ha Seung-Hoon Park Jae-Yong Eom Min-Suk Oh Ga-Young Cho Eui-Jong Kim |
| author_sort | Sang-Woo Ha |
| collection | DOAJ |
| description | Installing renewable energy systems for zero-energy buildings has become increasingly common; building integrated photovoltaic (BIPV) systems, which integrate PV modules into the building envelope, are being widely selected as renewable systems. In particular, owing to the rapid growth of information and communication technology, the requirement for appropriate operation and control of energy systems has become an important issue. To meet these requirements, a computational model is essential; however, some unmeasurable parameters can result in inaccurate results. This work proposes a calibration method for unknown parameters of a well-known BIPV model based on in situ test data measured over eight days; this parameter calibration was conducted via an optimization algorithm. The unknown parameters were set such that the results obtained from the BIPV simulation model are similar to the in situ measurement data. Results of the calibrated model indicated a root mean square error (RMSE) of 3.39 °C and 0.26 kW in the BIPV cell temperature and total power production, respectively, whereas the noncalibrated model, which used typical default values for unknown parameters, showed an RMSE of 6.92 °C and 0.44 kW for the same outputs. This calibration performance was quantified using measuring data from the first four days; the error increased slightly when data from the remaining four days were compared for the model tests. |
| first_indexed | 2024-03-10T16:12:10Z |
| format | Article |
| id | doaj.art-f688fc590b2442e88f7925560b056479 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T16:12:10Z |
| publishDate | 2020-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-f688fc590b2442e88f7925560b0564792023-11-20T14:26:02ZengMDPI AGEnergies1996-10732020-09-011318493510.3390/en13184935Parameter Calibration for a TRNSYS BIPV Model Using In Situ Test DataSang-Woo Ha0Seung-Hoon Park1Jae-Yong Eom2Min-Suk Oh3Ga-Young Cho4Eui-Jong Kim5Department of Architectural Engineering, Inha University, Incheon 22212, KoreaDepartment of Architectural Engineering, Inha University, Incheon 22212, KoreaR&D Division, EAGON Windows&Doors Co., Ltd., Incheon 22107, KoreaR&D Division, DAEJIN, Seoul 05839, KoreaDepartment of Smart City Research, Seoul Institute of Technology, Seoul 03909, KoreaDepartment of Architectural Engineering, Inha University, Incheon 22212, KoreaInstalling renewable energy systems for zero-energy buildings has become increasingly common; building integrated photovoltaic (BIPV) systems, which integrate PV modules into the building envelope, are being widely selected as renewable systems. In particular, owing to the rapid growth of information and communication technology, the requirement for appropriate operation and control of energy systems has become an important issue. To meet these requirements, a computational model is essential; however, some unmeasurable parameters can result in inaccurate results. This work proposes a calibration method for unknown parameters of a well-known BIPV model based on in situ test data measured over eight days; this parameter calibration was conducted via an optimization algorithm. The unknown parameters were set such that the results obtained from the BIPV simulation model are similar to the in situ measurement data. Results of the calibrated model indicated a root mean square error (RMSE) of 3.39 °C and 0.26 kW in the BIPV cell temperature and total power production, respectively, whereas the noncalibrated model, which used typical default values for unknown parameters, showed an RMSE of 6.92 °C and 0.44 kW for the same outputs. This calibration performance was quantified using measuring data from the first four days; the error increased slightly when data from the remaining four days were compared for the model tests.https://www.mdpi.com/1996-1073/13/18/4935BIPVmodel parameter calibrationparticle swarm optimizationTRNSYS |
| spellingShingle | Sang-Woo Ha Seung-Hoon Park Jae-Yong Eom Min-Suk Oh Ga-Young Cho Eui-Jong Kim Parameter Calibration for a TRNSYS BIPV Model Using In Situ Test Data Energies BIPV model parameter calibration particle swarm optimization TRNSYS |
| title | Parameter Calibration for a TRNSYS BIPV Model Using In Situ Test Data |
| title_full | Parameter Calibration for a TRNSYS BIPV Model Using In Situ Test Data |
| title_fullStr | Parameter Calibration for a TRNSYS BIPV Model Using In Situ Test Data |
| title_full_unstemmed | Parameter Calibration for a TRNSYS BIPV Model Using In Situ Test Data |
| title_short | Parameter Calibration for a TRNSYS BIPV Model Using In Situ Test Data |
| title_sort | parameter calibration for a trnsys bipv model using in situ test data |
| topic | BIPV model parameter calibration particle swarm optimization TRNSYS |
| url | https://www.mdpi.com/1996-1073/13/18/4935 |
| work_keys_str_mv | AT sangwooha parametercalibrationforatrnsysbipvmodelusinginsitutestdata AT seunghoonpark parametercalibrationforatrnsysbipvmodelusinginsitutestdata AT jaeyongeom parametercalibrationforatrnsysbipvmodelusinginsitutestdata AT minsukoh parametercalibrationforatrnsysbipvmodelusinginsitutestdata AT gayoungcho parametercalibrationforatrnsysbipvmodelusinginsitutestdata AT euijongkim parametercalibrationforatrnsysbipvmodelusinginsitutestdata |