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Mr. Keyu Bao
HFT Stuttgart

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Research Keywords & Expertise

0 Biomass
0 CityGML
0 urban water management
0 food water energy nexus
0 Energy system analysis, modelling and optimization

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Short Biography

Keyu Bao is currently a PhD candidate at HFT Stuttgart, University of Leipzig and Helmholz UFZ. He obtained his Master in renewable energy engineering and managment from Universtiy of Freiburg in 2018. His area of research interests is energy system simulation under Food-Water-Energy Nexus framework.

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Journal article
Published: 21 August 2021 in Land
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A quantitative assessment of food-water-energy interactions is important to assess pathways and scenarios towards a holistically sustainable regional development. While a range of tools and methods exist that assess energetic demands and potentials on a regional scale, the same is not true for assessments of regional food demand and potential. This work introduces a new food simulation workflow to address local food potential and demand at the regional level, by extending an existing regional energy-water simulation platform. The goal of this work is to develop a GIS-based bottom-up approach to simulate regional food demand that can be linked to similarly GIS-based workflows assessing regional water demands and energetic demands and potentials. This allows us to study food-water-energy issues on a local scale. For this, a CityGML land use data model is extended with a feed and animal potential raster map as well as a soil type map to serve as the main inputs. The workflow simulates: (1) the vegetal and animal product food potentials by taking climate, crop type, soil type, organic farming, and food waste parameters into account; (2) the food demand of vegetal and animal products influenced by population change, body weight, age, human development index, and other indicators. The method is tested and validated in three German counties with various land use coverages. The results show that restricting land used exclusively for energy crop production is the most effective way to increase annual food production potential. Climate change by 2050 is expected to result in annual biomass yield changes between −4% and 2% depending on the region. The amount of animal product consumption is expected to rise by 16% by 2050, while 4% fewer vegetal products are excepted to be consumed.

ACS Style

Keyu Bao; Rushikesh Padsala; Volker Coors; Daniela Thrän; Bastian Schröter. A GIS-Based Simulation Method for Regional Food Potential and Demand. Land 2021, 10, 880 .

AMA Style

Keyu Bao, Rushikesh Padsala, Volker Coors, Daniela Thrän, Bastian Schröter. A GIS-Based Simulation Method for Regional Food Potential and Demand. Land. 2021; 10 (8):880.

Chicago/Turabian Style

Keyu Bao; Rushikesh Padsala; Volker Coors; Daniela Thrän; Bastian Schröter. 2021. "A GIS-Based Simulation Method for Regional Food Potential and Demand." Land 10, no. 8: 880.

Journal article
Published: 18 May 2021 in Resources
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District heating is seen as an important concept to decarbonize heating systems and meet climate mitigation goals. However, the decision related to where central heating is most viable is dependent on many different aspects, like heating densities or current heating structures. An urban energy simulation platform based on 3D building objects can improve the accuracy of energy demand calculation on building level, but lacks a system perspective. Energy system models help to find economically optimal solutions for entire energy systems, including the optimal amount of centrally supplied heat, but do not usually provide information on building level. Coupling both methods through a novel heating grid disaggregation algorithm, we propose a framework that does three things simultaneously: optimize energy systems that can comprise all demand sectors as well as sector coupling, assess the role of centralized heating in such optimized energy systems, and determine the layouts of supplying district heating grids with a spatial resolution on the street level. The algorithm is tested on two case studies; one, an urban city quarter, and the other, a rural town. In the urban city quarter, district heating is economically feasible in all scenarios. Using heat pumps in addition to CHPs increases the optimal amount of centrally supplied heat. In the rural quarter, central heat pumps guarantee the feasibility of district heating, while standalone CHPs are more expensive than decentral heating technologies.

ACS Style

Annette Steingrube; Keyu Bao; Stefan Wieland; Andrés Lalama; Pithon Kabiro; Volker Coors; Bastian Schröter. A Method for Optimizing and Spatially Distributing Heating Systems by Coupling an Urban Energy Simulation Platform and an Energy System Model. Resources 2021, 10, 52 .

AMA Style

Annette Steingrube, Keyu Bao, Stefan Wieland, Andrés Lalama, Pithon Kabiro, Volker Coors, Bastian Schröter. A Method for Optimizing and Spatially Distributing Heating Systems by Coupling an Urban Energy Simulation Platform and an Energy System Model. Resources. 2021; 10 (5):52.

Chicago/Turabian Style

Annette Steingrube; Keyu Bao; Stefan Wieland; Andrés Lalama; Pithon Kabiro; Volker Coors; Bastian Schröter. 2021. "A Method for Optimizing and Spatially Distributing Heating Systems by Coupling an Urban Energy Simulation Platform and an Energy System Model." Resources 10, no. 5: 52.

Journal article
Published: 08 December 2020 in Energies
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The assessment of regional bioenergy potentials from different types of natural land cover is an integral part of simulation tools that aim to assess local renewable energy systems. This work introduces a new workflow, which evaluates regional bioenergy potentials and its impact on water demand based on geographical information system (GIS)-based land use data, satellite maps on local crop types and soil types, and conversion factors from biomass to bioenergy. The actual annual biomass yield of crops is assessed through an automated process considering the factors of local climate, crop type, soil, and irrigation. The crop biomass yields are validated with historic statistical data, with deviation less than 7% in most cases. Additionally, the resulting bioenergy potentials yield between 10.7 and 12.0 GWh/ha compared with 13.3 GWh/ha from other studies. The potential contribution from bioenergy on the energy demand were investigated in the two case studies, representing the agricultural-dominant rural area in North Germany and suburban region in South Germany: Simulation of the future bioenergy potential for 2050 shows only smaller effects from climate change (less than 4%) and irrigation (below 3%), but the potential to cover up to 21% of the transport fuels demand in scenario supporting biodiesel and bioethanol for transportation.

ACS Style

Keyu Bao; Rushikesh Padsala; Volker Coors; Daniela Thrän; Bastian Schröter. A Method for Assessing Regional Bioenergy Potentials Based on GIS Data and a Dynamic Yield Simulation Model. Energies 2020, 13, 6488 .

AMA Style

Keyu Bao, Rushikesh Padsala, Volker Coors, Daniela Thrän, Bastian Schröter. A Method for Assessing Regional Bioenergy Potentials Based on GIS Data and a Dynamic Yield Simulation Model. Energies. 2020; 13 (24):6488.

Chicago/Turabian Style

Keyu Bao; Rushikesh Padsala; Volker Coors; Daniela Thrän; Bastian Schröter. 2020. "A Method for Assessing Regional Bioenergy Potentials Based on GIS Data and a Dynamic Yield Simulation Model." Energies 13, no. 24: 6488.

Journal article
Published: 28 October 2020 in ISPRS International Journal of Geo-Information
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Humans’ activities in urban areas put a strain on local water resources. This paper introduces a method to accurately simulate the stress urban water demand in Germany puts on local resources on a single-building level, and scalable to regional levels without loss of detail. The method integrates building geometry, building physics, census, socio-economy and meteorological information to provide a general approach to assessing water demands that also overcome obstacles on data aggregation and processing imposed by data privacy guidelines. Three German counties were used as validation cases to prove the feasibility of the presented approach: on average, per capita water demand and aggregated water demand deviates by less than 7% from real demand data. Scenarios applied to a case region Ludwigsburg in Germany, which takes the increment of water price, aging of the population and the climate change into account, show that the residential water demand has the change of −2%, +7% and −0.4% respectively. The industrial water demand increases by 46% due to the development of economy indicated by GDP per capita. The rise of precipitation and temperature raise the water demand in non-residential buildings (excluding industry) of 1%.

ACS Style

Keyu Bao; Rushikesh Padsala; Daniela Thrän; Bastian Schröter. Urban Water Demand Simulation in Residential and Non-Residential Buildings Based on a CityGML Data Model. ISPRS International Journal of Geo-Information 2020, 9, 642 .

AMA Style

Keyu Bao, Rushikesh Padsala, Daniela Thrän, Bastian Schröter. Urban Water Demand Simulation in Residential and Non-Residential Buildings Based on a CityGML Data Model. ISPRS International Journal of Geo-Information. 2020; 9 (11):642.

Chicago/Turabian Style

Keyu Bao; Rushikesh Padsala; Daniela Thrän; Bastian Schröter. 2020. "Urban Water Demand Simulation in Residential and Non-Residential Buildings Based on a CityGML Data Model." ISPRS International Journal of Geo-Information 9, no. 11: 642.