Xingxing Zhang

Professor

Högskolan Dalarna
Country flag
Sweden

Research Interests

Explore related searches

Contact this professor

LinkedIn
ORCID
Google Scholar

About

Professor Xingxing Zhang is a faculty member at Högskolan Dalarna in Sweden. His research interests include explainable machine learning applications in energy systems, energy-efficient building renovation, and optimization of renewable energy technologies. Recent publications focus on various aspects of building energy performance, including thermal-hydraulic analysis, HVAC efficiency, and carbon assessment of building materials.

Articles (18)

Carbon Assessment of a Wooden Single-Family Building—Focusing on Re-Used Building Products

Previous research has shown a lack of studies with comparisons between primary (virgin) and secondary (re-used) building materials, and their embodied emissions. The creation of different scenarios comparing the environmental impact of virgin vs. re-used materials is also motivated by the scarcity of raw materials in the world and the emergency of mitigating greenhouse gas (GHG) emissions from buildings. The aim of this study was to investigate scenarios, including new vs. re-used building products, applying the LCA method for a wooden single-family building. The findings showed a 23% reduction potential for total released (positive) CO2e when comparing the Reference scenario with Scenario I, using re-used wooden-based materials. Further, Scenario II, using all re-used building materials except for installations, showed a 59% CO2e reduction potential compared to the Reference scenario. Finally, Scenario III, which assumes all re-used building products, showed a 92% decreased global warming potential (GWP) impact compared to the Reference scenario. However, when including biogenic carbon and benefits (A5 and D module), the Reference scenario, based on newly produced wooden building materials, has the largest negative GHG emissions. It can be concluded that the re-use of building products leads to significant carbon savings compared to using new building products.

Year:

2024

Collaborators (5)

Jing (Janet) Lin

Associate Professor and Docent

Luleå tekniska universitet

SWEDEN

Marita Wallhagen

University of Gävle

SWEDEN

Mengjie Han

Dalarna University

SWEDEN

Francesco Guarino

Assistant professor (RTD-B)

University of Palermo

ITALY

Paolo Civiero

Senior assistant professor - Researcher

Roma Tre University

ITALY
Social connections

How do I reach out?

Sign in for free to see their profile details and contact information.

Meet Kite AI