A5007525875- Smart Grid Energy Management
- Electric Vehicles and Infrastructure
- Building Energy and Comfort Optimization
- Landslides and related hazards
- Cryospheric studies and observations
- Energy Efficiency and Management
- Advanced Battery Technologies Research
- Electric Power System Optimization
- Climate change and permafrost
- Arctic and Antarctic ice dynamics
- Geology and Paleoclimatology Research
- Solar Radiation and Photovoltaics
- Energy and Environment Impacts
- Microgrid Control and Optimization
- Wind and Air Flow Studies
- Geological formations and processes
- Photovoltaic System Optimization Techniques
- Photovoltaic Systems and Sustainability
- Flood Risk Assessment and Management
- Power Systems and Renewable Energy
- Solar Energy Systems and Technologies
- Modeling and Simulation Systems
- Hydrology and Watershed Management Studies
- E-commerce and Technology Innovations
- Tree Root and Stability Studies
Chengdu University of Technology
2023-2025
Aalto University
2021-2023
Dalarna University
2020-2022
State Key Laboratory of Geohazard Prevention and Geoenvironment Protection
2021
Eurac Research
2016-2020
University of Trento
2018-2020
Smart grid is triggering the transformation of traditional electricity consumers into prosumers. This paper reports a case study transforming an existing residential cluster in Sweden The main energy concepts include (1) click-and-go photovoltaics (PV) panels for building integration, (2) centralized exhaust air heat pump, (3) thermal storage storing excess PV by using and (4) sharing within thermal/electrical demand (including electric vehicles load) on direct-current micro grid. For...
Proper energy storage system design is important for performance improvements in solar power shared building communities. Existing studies have developed various methods sizing the distributed batteries and batteries. For batteries, most of are based on single mismatch, but they neglect potentials sharing reducing battery capacity, thereby easily causing oversizing problem. existing a community aggregated which may avoid cause another severe problem, i.e., excessive electricity losses...
As the Third Pole of Earth and Water Tower Asia, Tibetan Plateau (TP) nurtures large numbers glacial lakes, which are sensitive to global climate change. These lakes modulate freshwater ecosystem in region but concurrently pose severe threats valley population by means sudden lake outbursts consequent floods (GLOFs). The lack high-resolution multi-temporal inventory TP hampers a better understanding prediction future trend risk lakes. Here, we created using 30-year record 42,833 satellite...
The COVID-19 outbreak is exacerbating uncertainty in energy demand. This paper aims to investigate the impact of confined measures due on demand a building mix district. Three levels confinement for occupant schedules are proposed based new district design Sweden. Urban Modeling Interface tool applied simulate performance mix. boundary conditions and input parameters set up according Swedish standards statistics. at early-design stage, which includes functions, i.e. residential buildings,...
Solar photovoltaic (PV) is becoming one of the most significant renewable sources for positive energy district (PED) in Sweden. The lack innovative business models and financing mechanisms are main constraints PV’s deployment installed local communities. This paper therefore proposes a peer-to-peer (P2P) model 48 individual building prosumers with PV Swedish community. It considers use behaviour, electricity/financial flows, ownerships trading rules electricity market. Different markets...
Attributing seismic or climatic landslide triggers in retrospect is an unresolved problem science. Particularly areas with scarce and rainfall records the case of delayed slope response to earthquakes it often difficult identify trigger. Understanding trigger mechanism however essential for tailoring risk reduction measures.We here present approach coupling geotechnical Factor Safety (FS) Newmark Displacement (ND) methods k-means clustering unsupervised machine learning technique reveal...
Urban Photovoltaic (PV) systems can provide large fractions of the residential electric demand at socket parity (i.e., a cost below household consumer price). This is obtained without necessarily installing storage or exploiting tax funded incentives. The benefits aggregating and renewable output multiple households are known established; in fact, regulations pilot energy communities being implemented worldwide. Financing managing shared urban PV system remains an unsolved issue, even when...
Abstract. Rapid and accurate mapping of landslides triggered by extreme events is essential for effective emergency response, hazard mitigation, disaster management. However, the development generalized machine learning models landslide detection has been hindered absence a high-resolution, globally distributed, event-based dataset. To address this gap, we introduce Globally Distributed Coseismic Landslide Dataset (GDCLD), comprehensive dataset that integrates multi-source remote sensing...
Abstract With global warming, changes in glaciers and glacial lakes on the Tibetan Plateau call for a serious inspection. The Southeastern (SETP) is typical monsoonal marine glacier area that extremely vulnerable to climate change. It affected by both humid warm Indian Ocean currents. Outlines of SETP have been extracted from Landsat satellite images with an automatic extraction method based image compositing Google Earth Engine Random Forest algorithm. Alongside outlines, meteorological...
Peer-to-peer (P2P) energy sharing among neighboring households is a promising solution to mitigating the difficulties of renewable power (such as solar Photovoltaics (PV)) penetration on grid. Until now, there still lack study impacts future climate change P2P trading performances. The will cause variances in production and further lead changes economic performances with various uses affect decision making PV ownership pricing strategies. Being unaware these could potentially hinder...
In terms of the failure giving considerations to both aesthetic ornamental and low-carbon function for current disaster prevention mitigation engineering. This study proposes debris-disaster baffles applicable natural scenic areas which designed based on mangroves properties, solve this problem by adopting bionic design method. The research methodology is as follows: (1) To propose a Six Elements Ten Steps Design Method extracting critical elements mangrove plants that contributes winds...
This work proposes a cluster modelling approach in Modelica language and methodology to evaluate the energy flexibility performance of building clusters during heating period. Energy is defined as capability shift according an external forcing factor that, this study, production PV plant. Accordingly, Flexibility Index (FI) designed quantify reduction demand not covered by renewables comparing reference smart operation. The focus on domain enables exploit synergies among buildings,...