Michael Bruse

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Michael Bruse

Michael Bruse (born 1969 in Essen, West Germany) is a German geographer and professor for geoinformatics at Johannes Gutenberg University Mainz. He specializes in research on urban microclimate/climatology with a methodical focus on numerical simulation. Besides his scientific work he developed the micro-climate model ENVI-met. [1] and is founder of the company ENVI-met GmbH. [2] ENVI-met is a holistic three-dimensional non-hydrostatic model for the simulation of surface-plant-air interactions not only limited to, but very often used to simulate urban environments and to assess the effects of green architecture visions. [3]

Contents

Education

After Highschool at the Alfred-Krupp-Gymnasium in Essen, Bruse graduated in physical geography from Ruhr-Universität Bochum in 1995 with a major in climatology and a minor in botany with a focus on geobotany and oceanography. He then started to develop the micro-climate model ENVI-met, [1] completing his formal education in 1999 with a PhD from the Ruhr-Universität Bochum with a thesis on the effects of small-scale environmental design on the local microclimate. [4] In 2006 his post-doctoral habilitation thesis on "Multi-Agent systems: A new approach for assessing urban environmental conditions" was accepted on the Ruhr-Universität Bochum.

Career and research

Michael Bruse founded GeoTech in 1992 providing the software SHADOW which was one of the first computer programs allowing to calculate shadow casting through buildings in an 3D urban context at very high resolution. GeoTech then extend the scope of analysis to air pollution and surface temperatures and established the brand ENVI-met in 2004. In 2007 he became a full professor at the University of Mainz and head of the Department of Geoinformatics. [5] Since then he was as well Visiting Professor in Harvard and at the Architectural Association London (AA).  

From 2007 to 2018 he was partner of Werner Sobek Green Technologies [6] in Stuttgart, Germany. In 2014 he founded ENVI-met GmbH [3] with Daniela Bruse gathering all developed programs and modules in one place. Its core areas of expertise are microclimate and thermal comfort, solar analysis, wind flow and turbulence, Green and blue technologies, pollutant dispersion , vegetation, as well as building physics.

Development

Michael Bruse is in the scientific world known for his microclimate model ENVI-met, a holistic numerical climate model, that makes it possible to simulate the effects of architecture and landscape planning on the microclimate and air quality on a scale of up to one meter. [7] This permits to study the interactions between the climatological framework conditions, like climate change and extreme weather, and local environmental design.

ENVI-met is used worldwide, his range of application includes the evaluation of urban development projects (Melbourne 2030, [8] RE-THINK Athens [9] ) up to the design of sustainable settlement structures ("Young Cities" project Iran of the FU Berlin [10] ).

Another research focus is the analysis of urban pollution problems, [11] especially with regard to particulate matter and nitrogen dioxide pollution. [12] Numerical simulations and measurements are used to develop and evaluate urban concepts that can be used to reduce the exposure of the population to air pollutants. For example, ENVI-met [1] is the reference model of the Belgian-Dutch government initiative "Air Innovation Platform" and the Bureau of Meteorology in Melbourne, [13] Australia. On the basis of simulation calculations, together with architects, urban planners and associations, development scenarios for districts and open spaces are created with which the negative effects of climate change can be mitigated at local level (KLIMAzwei initiative of the BMBF, [14] Green Aspang Wien, [15] BUGS of the EU [16] ).

Selected publications

The main publication is in the micro-climate model ENVI-met, [1] which is not a classical publication, but a software. ENVI-met has been published in more than 100 PhD theses and more than 1,500 essays applied (Google Scholar 09/2017). The list below is a cross-section of the relevant research topics. Citation index: h = 30 (calculation method Google Scholar, accessed 10/2023). The actual citation index will be significantly higher, as the ENVI-MET model has now established itself as a brand and in many essays on the correct citation is omitted.

Related Research Articles

<span class="mw-page-title-main">Climate</span> Statistics of weather conditions in a given region over long periods

Climate is the long-term weather pattern in a region, typically averaged over 30 years. More rigorously, it is the mean and variability of meteorological variables over a time spanning from months to millions of years. Some of the meteorological variables that are commonly measured are temperature, humidity, atmospheric pressure, wind, and precipitation. In a broader sense, climate is the state of the components of the climate system, including the atmosphere, hydrosphere, cryosphere, lithosphere and biosphere and the interactions between them. The climate of a location is affected by its latitude, longitude, terrain, altitude, land use and nearby water bodies and their currents.

<span class="mw-page-title-main">Urban heat island</span> Urban area that is significantly warmer than its surrounding rural areas

Urban areas usually experience the urban heat island (UHI) effect, that is, they are significantly warmer than surrounding rural areas. The temperature difference is usually larger at night than during the day, and is most apparent when winds are weak, under block conditions, noticeably during the summer and winter. The main cause of the UHI effect is from the modification of land surfaces while waste heat generated by energy usage is a secondary contributor. A study has shown that heat islands can be affected by proximity to different types of land cover, so that proximity to barren land causes urban land to become hotter and proximity to vegetation makes it cooler. As a population center grows, it tends to expand its area and increase its average temperature. The term heat island is also used; the term can be used to refer to any area that is relatively hotter than the surrounding, but generally refers to human-disturbed areas. Urban areas occupy about 0.5% of the Earth's land surface but host more than half of the world's population.

<span class="mw-page-title-main">Climate model</span> Quantitative methods used to simulate climate

Numerical climate models are mathematical models that can simulate the interactions of important drivers of climate. These drivers are the atmosphere, oceans, land surface and ice. Scientists use climate models to study the dynamics of the climate system and to make projections of future climate and of climate change. Climate models can also be qualitative models and contain narratives, largely descriptive, of possible futures.

<span class="mw-page-title-main">Microclimate</span> Local set of atmospheric conditions that differ significantly from the surrounding area

A microclimate is a local set of atmospheric conditions that differ from those in the surrounding areas, often slightly but sometimes substantially. The term may refer to areas as small as a few square meters or smaller or as large as many square kilometers. Because climate is statistical, which implies spatial and temporal variation of the mean values of the describing parameters, within a region there can occur and persist over time sets of statistically distinct conditions, that is, microclimates. Microclimates can be found in most places but are most pronounced in topographically dynamic zones such as mountainous areas, islands, and coastal areas.

<span class="mw-page-title-main">Ruhr</span> Urban area in North Rhine-Westphalia, Germany

The Ruhr, also referred to as the Ruhr area, sometimes Ruhr district, Ruhr region, or Ruhr valley, is a polycentric urban area in North Rhine-Westphalia, Germany. With a population density of 2,800/km2 and a population of over 5 million (2017), it is the largest urban area in Germany. It consists of several large cities bordered by the rivers Ruhr to the south, Rhine to the west, and Lippe to the north. In the southwest it borders the Bergisches Land. It is considered part of the larger Rhine-Ruhr metropolitan region of more than 10 million people, which is the third largest in Western Europe, behind only London and Paris.

<span class="mw-page-title-main">Computer simulation</span> Process of mathematical modelling, performed on a computer

Computer simulation is the process of mathematical modelling, performed on a computer, which is designed to predict the behaviour of, or the outcome of, a real-world or physical system. The reliability of some mathematical models can be determined by comparing their results to the real-world outcomes they aim to predict. Computer simulations have become a useful tool for the mathematical modeling of many natural systems in physics, astrophysics, climatology, chemistry, biology and manufacturing, as well as human systems in economics, psychology, social science, health care and engineering. Simulation of a system is represented as the running of the system's model. It can be used to explore and gain new insights into new technology and to estimate the performance of systems too complex for analytical solutions.

<span class="mw-page-title-main">Rhine-Ruhr metropolitan region</span> Urban area in Germany

The Rhine-Ruhr metropolitan region is the largest metropolitan region in Germany, with over ten million inhabitants. A polycentric conurbation with several major urban concentrations, the region covers an area of 7,110 square kilometres (2,750 sq mi), entirely within the federal state of North Rhine-Westphalia. The Rhine-Ruhr metropolitan region spreads from the Ruhr area (Dortmund-Bochum-Essen-Duisburg) in the north to the urban areas of the cities of Mönchengladbach, Düsseldorf, Wuppertal, Leverkusen, Cologne, and Bonn in the south. The location of the Rhine-Ruhr at the heart of the European Blue Banana makes it well connected to other major European cities and metropolitan areas such as the Randstad, the Flemish Diamond and the Frankfurt Rhine Main Region.

<span class="mw-page-title-main">Computational sociology</span> Branch of the discipline of sociology

Computational sociology is a branch of sociology that uses computationally intensive methods to analyze and model social phenomena. Using computer simulations, artificial intelligence, complex statistical methods, and analytic approaches like social network analysis, computational sociology develops and tests theories of complex social processes through bottom-up modeling of social interactions.

An agent-based model (ABM) is a computational model for simulating the actions and interactions of autonomous agents in order to understand the behavior of a system and what governs its outcomes. It combines elements of game theory, complex systems, emergence, computational sociology, multi-agent systems, and evolutionary programming. Monte Carlo methods are used to understand the stochasticity of these models. Particularly within ecology, ABMs are also called individual-based models (IBMs). A review of recent literature on individual-based models, agent-based models, and multiagent systems shows that ABMs are used in many scientific domains including biology, ecology and social science. Agent-based modeling is related to, but distinct from, the concept of multi-agent systems or multi-agent simulation in that the goal of ABM is to search for explanatory insight into the collective behavior of agents obeying simple rules, typically in natural systems, rather than in designing agents or solving specific practical or engineering problems.

<span class="mw-page-title-main">Numerical weather prediction</span> Weather prediction using mathematical models of the atmosphere and oceans

Numerical weather prediction (NWP) uses mathematical models of the atmosphere and oceans to predict the weather based on current weather conditions. Though first attempted in the 1920s, it was not until the advent of computer simulation in the 1950s that numerical weather predictions produced realistic results. A number of global and regional forecast models are run in different countries worldwide, using current weather observations relayed from radiosondes, weather satellites and other observing systems as inputs.

Urban climatology is the study of urban climate. It is a branch of climatology that concerns interactions between urban areas and the atmosphere, the effects they have on one another, and the varying spatial and temporal scales at which these processes occur.

<span class="mw-page-title-main">Building science</span>

Building science is the science and technology-driven collection of knowledge in order to provide better indoor environmental quality (IEQ), energy-efficient built environments, and occupant comfort and satisfaction. Building physics, architectural science, and applied physics are terms used for the knowledge domain that overlaps with building science. In building science, the methods used in natural and hard sciences are widely applied, which may include controlled and quasi-experiments, randomized control, physical measurements, remote sensing, and simulations. On the other hand, methods from social and soft sciences, such as case study, interviews & focus group, observational method, surveys, and experience sampling, are also widely used in building science to understand occupant satisfaction, comfort, and experiences by acquiring qualitative data. One of the recent trends in building science is a combination of the two different methods. For instance, it is widely known that occupants' thermal sensation and comfort may vary depending on their sex, age, emotion, experiences, etc. even in the same indoor environment. Despite the advancement in data extraction and collection technology in building science, objective measurements alone can hardly represent occupants' state of mind such as comfort and preference. Therefore, researchers are trying to measure both physical contexts and understand human responses to figure out complex interrelationships.

Downscaling is any procedure to infer high-resolution information from low-resolution variables. This technique is based on dynamical or statistical approaches commonly used in several disciplines, especially meteorology, climatology and remote sensing. The term downscaling usually refers to an increase in spatial resolution, but it is often also used for temporal resolution. This is not to be confused with image downscaling which is a process of reducing an image from a higher resolution to a lower resolution.

A tax-benefit model is a form of microsimulation model. It is usually based on a representative or administrative data set and certain policy rules. These models are used to cost certain policy reforms and to determine the winners and losers of reform. One example is EUROMOD, which models taxes and benefits for 27 EU states, and its post-Brexit offshoot, UKMOD.

<span class="mw-page-title-main">Christoph M. Schmidt</span> German economist

Christoph Matthias Schmidt is a German economist. He has been President of RWI - Leibniz Institute for Economic Research in Essen since 2002 and also holds the Chair for Economic Policy and Applied Econometrics at the Faculty of Management and Economics at the Ruhr-Universität Bochum. He was a member of the German Council of Economic Experts from 2009 to 2020 and its chairman from 2013 to 2020. Since 2019 he has been a member, and since 2020 co-chairman, of the Franco-German Council of Economic Experts. From 2011 to 2013, he was a member of the Enquete Commission "Growth, Prosperity, Quality of Life" of the German Bundestag. From 2020 to 2021 he was a member of the "Corona-Expertenrat" of the Minister President of North Rhine-Westphalia. He has been a member of acatech – Deutsche Akademie der Technikwissenschaften since 2011, a member of the presidium since 2014, and vice president since 2020. He is a member of the National Academy of Sciences Leopoldina, the Mainz Academy of Sciences and Literature and the North Rhine-Westphalian Academy of Sciences and Arts.

Biosphere3D is an open-source project that targets interactive landscape scenery rendering based on a virtual globe. The software system supports multiple scales but focuses primarily on the creation of realistic views from eye-level or near ground level. The software is released under the MPL license and developed by Zuse Institute Berlin, Lenné3D and the open-source community for use on personal computers.

<span class="mw-page-title-main">Ardeshir Mahdavi</span> Austrian architect

Ardeshir Mahdavi is an expert in building physics, architectural science, and human ecology.

WindStation is a wind energy software which uses computational fluid dynamics (CFD) to conduct wind resource assessments in complex terrain. The physical background and its numerical implementation are described in. and the official manual of the software.

<span class="mw-page-title-main">Urban flooding</span> Management of flood events in cities and surrounding areas

Urban flooding is the inundation of land or property in cities or other built environment, caused by rainfall overwhelming the capacity of drainage systems, such as storm sewers. Urban flooding can happen regardless of whether or not affected communities are located within designated floodplains or near any body of water. It is triggered for example by an overflow of rivers and lakes, flash flooding or snowmelt. During the flood, stormwater or water released from damaged water mains may accumulate on property and in public rights-of-way. It can seep through building walls and floors, or backup into buildings through sewer pipes, cellars, toilets and sinks.

ENVI-met is a microscale three-dimensional software model for simulating complex urban environments based on the fundamental laws of fluid mechanics, thermodynamics and general atmospheric physics. Unlike models that focus on individual aspects such as mean radiant temperature or wind flows and turbulence, ENVI-met is the first software of its kind to simulate all interactions between building and ground surfaces, plants and ambient air. Typical areas of application are architecture, landscape architecture and urban planning.

References

  1. 1 2 3 4 "start [A holistic microclimate model]". www.envi-met.info. Retrieved 2018-05-24.
  2. "ENVI_MET Info".
  3. 1 2 "Learn & Discover". ENVI_MET (in German). Retrieved 2018-05-24.
  4. Dissertation Michael Bruse
  5. Mainz, Johannes Gutenberg-Universität. "Geographisches Institut". www.geo.uni-mainz.de (in German). Retrieved 2018-05-24.
  6. "WSGreenTechnologies | Werner Sobek". Werner Sobek. Archived from the original on 2018-08-14. Retrieved 2018-05-24.
  7. "ENVI_MET Introduction". Archived from the original on 2018-08-21.
  8. "Melbourne 2030". doi:10.1016/j.solener.2017.01.023.{{cite journal}}: Cite journal requires |journal= (help)
  9. "Rethink Athens". www.wanurbanchallenge.com. Retrieved 2018-05-24.
  10. Sodoudi, Sahar; langer, ines; Cubasch, Ulrich (2012-01-01). "Using the ENVI-MET program to simulate the micro climate in new Town HASHTGERD". doi:10.13140/2.1.1739.2005.{{cite journal}}: Cite journal requires |journal= (help)
  11. "Effects of Vegetation". doi:10.1016/j.ufug.2014.03.003.{{cite journal}}: Cite journal requires |journal= (help)
  12. EPA, OAR, US. "Nitrogen Dioxide". doi:10.1016/j.buildenv.2010.09.006.{{cite journal}}: Cite journal requires |journal= (help)
  13. "Case Study in Melbourne". www.bom.gov.au. Retrieved 2018-05-24.
  14. "Klimazwei BMBF" (PDF). Forschung für Nachhaltige Entwicklung (FONA) (in German). Retrieved 2018-05-24.
  15. "Green Aspang Wien" (PDF).
  16. "BUGS" (PDF).