| contributor author | Tu, Yan | |
| contributor author | Chen, Guoping | |
| contributor author | Liu, Liyi | |
| contributor author | Ma, Zhuang | |
| contributor author | Fan, Shuqin | |
| date accessioned | 2026-08-20T11:20:26Z | |
| date available | 2026-08-20T11:20:26Z | |
| date copyright | 2026/06/09 | |
| date issued | 2026 | |
| identifier other | JLEED9.EYENG-6628.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4312053 | |
| description abstract | AbstractPark-level integrated energy systems (PIESs) are critical for achieving climate goals,
but their assessment is hampered by deep uncertainty in future technologies and policies.
Conventional methods, which seek a single optimal solution, often lead ...Practical ApplicationsIndustrial park planners, energy investors, and policymakers face a critical challenge:
how to choose the right energy system when future technologies, costs, and regulations
are highly uncertain. Selecting the wrong path can lead to ... | |
| publisher | American Society of Civil Engineers | |
| title | Robust Risk Assessment for Park-Level Integrated Energy Systems: A Framework for Adaptive Governance under Deep Uncertainty | |
| type | Journal Article | |
| journal volume | 152 | |
| journal issue | 4 | |
| journal title | Journal of Energy Engineering | |
| identifier doi | 10.1061/JLEED9.EYENG-6628 | |
| journal fristpage | 04026051-1 | |
| journal lastpage | 04026051-15 | |
| page | 15 | |
| tree | Journal of Energy Engineering:;2026:;Volume ( 152 ):;issue: 004 | |
| contenttype | Fulltext | |