Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 7 Affordable and Clean Energy -
SDG 11 Sustainable Cities and Communities -
SDG 13 Climate Action
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Dive into the research topics where Ute Poerschke is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Variations of Energy Storage across Building Types in Building-Integrated Photovoltaic-Regenerative Proton Exchange Membrane Fuel Cell Facades: A Study of ASHRAE 2B Hot-Dry Climate Zone (Phoenix, AZ)
Zhang, J., Azari, R. & Poerschke, U., 2025, In: IOP Conference Series: Earth and Environmental Science. 1554, 1, 012033.Research output: Contribution to journal › Conference article › peer-review
Open Access -
A novel parametric workflow for simulating urban heat island effects on residential building energy use: Coupling local climate zones with the urban weather generator a case study of seven U.S. cities
Hashemi, F., Mills, G., Poerschke, U., Iulo, L. D., Pavlak, G. & Kalisperis, L., Sep 1 2024, In: Sustainable Cities and Society. 110, 105568.Research output: Contribution to journal › Article › peer-review
39 Link opens in a new tab Citations (SciVal) -
A Review of Potential Electrochemical Applications in Buildings for Energy Capture and Storage
Zhang, J., Azari, R., Poerschke, U. & Hall, D. M., Dec 2023, In: Micromachines. 14, 12, 2203.Research output: Contribution to journal › Review article › peer-review
Open Access15 Link opens in a new tab Scopus citations -
A Review of the Energy Performance Gap between Predicted and Actual Use in Buildings
Li, J., Iulo, L. D. & Poerschke, U., 2023, In: Building Simulation Conference Proceedings. 18, p. 1973-1980 8 p.Research output: Contribution to journal › Conference article › peer-review
Open Access8 Link opens in a new tab Scopus citations -
The Application of Statistical and Machine Learning Techniques in Building Performance Assessment and Prediction: A Review
Li, J. & Poerschke, U., 2023, 2023 ASHRAE Annual Conference. American Society of Heating Refrigerating and Air-Conditioning Engineers, p. 673-682 10 p. (ASHRAE Transactions; vol. 129).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution