CSE_4
Photo: Haris Hameed Mian

The Computational Science and Engineering (CSE) research group at NMBU is an interdisciplinary group that utilizes cutting-edge computational and modeling techniques to tackle complex problems in the fields of science and engineering.

  • About us
    CSE_group

    The group's core expertise lies in numerical and computational fluid dynamics (CFD) simulations, with a strong emphasis on advancing energy and environmental systems. This expertise spans various applications, including offshore wind energy, solar thermal systems, building envelope optimization, heat exchangers, and double-skin facades. The group also focuses on cutting-edge areas such as supercritical CO2 systems, reduced-order modeling, and applying artificial intelligence (AI) and machine learning (ML) to engineering challenges. Through the integration of theoretical, computational, and experimental approaches, the group is dedicated to addressing complex fluid dynamics problems, enhancing the efficiency and sustainability of energy systems, and developing innovative technologies to meet future demands.

    Contact for more information

    We are on the first floor of the Realtek building (TF fløy 1)

    Find us on our interactive map

  • Group Members
    Muhammad Saeed

    Muhammad Saeed

    Postdoc

    Muhammad Sharjil

    Muhammad Sharjil

    PhD Student, Department of Engineering
    University of Agder

  • Associated Members
    nicoletta franchina

    Nicoletta Franchina Fixed term researcher at

    University of Bergamo, Italy

    Dr. Bernhard Stoevesandt

    Bernhard Stoevesandt

    Head of Department Aerodynamics, CFD and Stochastic Dynamics, Fraunhofer IWES

    Arvind Keprate

    Arvind Keprate

    Professor at OsloMet

    Liang Yang

    Liang Yang

    Lecturer in Marine Renewable Energy Systems, Cranfield University, UK

    Abdul Waheed Badar

    Abdul Waheed Badar

    Associate Professor at University of Bahrain

    My main field of research is data science and machine learning.

    Fadi Al Machot

    Associate Professor

    Habib Ullah

    Habib Ullah

    Associate Professor

    Taimoor Asim

    Taimoor Asim

    Associate Professor

    https://www.uia.no/om-uia/ansatte/faisala/

    Muhammad Faisal Aftab

    Associate Professor

    Muhammad Sharjil

    Muhammad Sharjil

    PhD Student

  • Research areas
    • Wind Energy

      Our research group is dedicated to advancing the field of wind energy through comprehensive studies on both vertical and horizontal axis wind turbines. We focus on understanding the intricate dynamics of turbine performance, aerodynamics, structural integrity, and the effects of environmental factors. Our publications highlight diverse aspects of wind energy, such as the impact of geometric approximations and turbulence intensity on turbine efficiency, the hydrodynamic response of floating offshore wind turbines, and the aerodynamic performance under various operational conditions.

      Members

      Muhammad Salman Siddiqui

      Muhammad Salman Siddiqui

      Associate Professor

      Haris Hameed Mian

      Stipendiat

      Muhammad Sharjil

      Muhammad Sharjil

      Stipendiat at UiA

      Dr. Bernhard Stoevesandt

      Bernhard Stoevesandt

      Head of Department at Fraunhofer Institute for Wind Energy Systems IWES

      nicoletta franchina

      Nicoletta Franchina

      Fixed-term university researcher at University of Bergamo, Italy

    • Solar Thermal System

      The research encompasses a wide range of solar thermal applications at both the component and system levels, including, but not limited to, solar-based space heating and cooling systems, solar thermal collectors, solar ovens and dryers, and solar stills. This work involves heat transfer and thermodynamics-based analytical modeling and programming, numerical analysis, and transient and dynamic modeling. The goal is also to simplify operation and ensure user-friendliness by reducing the complexity associated with managing multiple components and adapting to the continuously varying ambient conditions (such as solar irradiance, ambient temperatures, humidity, etc.) and load demands.

      Members

      Muhammad Salman Siddiqui

      Muhammad Salman Siddiqui

      Associate Professor

      Abdul Waheed Badar

      Abdul Waheed Badar

      Associate Professor at University of Bahrain

    • Digital Twins

      We leverage digital twin technology to address engineering challenges in energy systems and offshore FPSO cable-laying operations. Our work advances the development of intelligent physical systems and offers valuable insights and recommendations for stakeholders across diverse engineering domains. Additionally, we focus on developing physics-based and data-driven models to expedite and customize digital twins for specialized engineering applications.

      Members

      Muhammad Salman Siddiqui

      Muhammad Salman Siddiqui

      Associate Professor

      Arvind Keprate

      Arvind Keprate

      Professor at OsloMet University

    • Computational Fluid Dynamics

      We research a broad spectrum of mechanical engineering and simulation designs using Computational Fluid Dynamics (CFD). Our expertise includes optimizing airflow in complex domains such as wind turbines, enhancing heat exchanger designs, improving ventilation in buildings and smart cities, and studying fluid-surface interactions. Additionally, we apply CFD in the design of turbomachinery, ensuring high efficiency and performance. By simulating and analyzing fluid flow, heat transfer, and related phenomena, we develop innovative and efficient engineering solutions, enabling precise performance predictions, optimized designs, and the resolution of complex engineering problems across various applications, from energy systems to urban environments.

      Members

      Muhammad Salman Siddiqui

      Muhammad Salman Siddiqui

      Associate Professor

      Haris Hameed Mian

      Stipendiat

      Taimoor Asim

      Taimoor Asim

      Associate Professor at Robert Gordon University, Aberdeen, UK

  • Ongoing Postdoc research

    Muhammaed Saeed (2024-2026), Analysis of Supercritical CO2 Cycle Using Zigzag Channel Pre-Cooler: A Design Optimization Study Based on Deep Neural Network

    Muhammad Saeed

    Muhammad Saeed

    Postdoc

  • Ongoing PhD theses

    Haris Hameed Mian (2022-present) Intelligent CFD methods for floating wind turbines aerodynamics, NMBU

    William Hyden (2022-present) Semantic Encoder-Enhanced Representations for Generalized Zero-Shot, NMBU

    William

    William Hayden

    PhD Student

    Chandler Timm Cagmat Doloriel (2024-present) Machine learning-based novel methods for fish welfare in aquaculture, NMBU

    Chandler timm cagmat doloriel

    Chandler Timm Cagmat Doloriel

    PhD Student


    Muhammed Sharjil (2021-present) Intelligent control of offshore wind farms, UIA

    Muhammad Sharjil

    Muhammad Sharjil

    PhD Student, Department of Engineering
    University of Agder (UiA)

  • Master theses (completed)

    Elias Petterse (2024): Exploring Performance Variations in Counter-Rotating Vertical Axis Wind Turbine Pairs due to Scaling and Oblique Angles using 2D and 3D CFD

    Tuva Carey Selsaas (2024): Optimizing Subsea Operations Through Digital Twin Based Monitoring of Flexible Products

    Andrea Holm Jensen and Vincent Nordby Carmona (2023): Assessment of power enhancement in counter-rotating vertical-axis wind turbine pairs using CFD in 2D and 3D

    Tiril Malmedal (2023): A Supportive Framework for the Development of a Digital Twin for Wind Turbines Using Open-Source Software

    Lars Jørgen and Håkon Lunde (2022): Optimalisering av landbasert fiskeoppdrett ved hjelp av strømningssimulering

  • Contact us

    We offer projects for students in mechanical engineering, renewable energy technology, applied machine learning, data-driven approaches etc. Get in touch early !

    Potential topics for masters theses:

    Turbulence in Multi-Rotor Wind Turbines: Atmospheric Interaction and Turbulence Analysis in Multi-Rotor Wind Turbines: A CFD Approach to Enhancing Power Generation Stability. Requires background in computational fluid dynamics, programming and mathematics.

    Machine Learning Applications: Leveraging Operational Data from Offshore Wind Farm for Machine Learning Applications. Requires background in data science, machine learning applications.

    Counter rotating VAWTs: Exploring the Aerodynamic Advantages and Performance Gains in Contra-Rotating Vertical Axis Wind Turbines Through Numerical Analysis. Requires background in computational fluid dynamics, programming and mathematics.

    Aerodynamic Optimization: Optimizing Aerodynamic Performance in Horizontal Axis Wind Turbines: A Study on Blade Design and Energy Efficiency. Requires background in computational fluid dynamics, programming and mathematics.

    Wind turbine wake and wind farm: Numerical Investigation of Wake Dynamics and Energy Loss in Horizontal Axis Wind Turbines: Insights for Improved Turbine Spacing and Farm Design. Requires background in computational fluid dynamics, programming and mathematics.

    Seeking PhD or Postdoc opportunities?

    All available positions are posted on the NMBU website, as well as on Jobbnorge and EURAXESS.

    NMBU hosts an annual 'Postdoc Masterclass' to assist in the preparation of applications for the Marie Skłodowska-Curie actions.

    Potential scientific collaborator, or just interested?

    Do not hesitate to get in touch!

Collborations

CSE Group Collaborators all
CSE Group Collaborators all

News and updates

CSE visit UK

September 2024

The collaboration between Robert Gordon University (RGU) and NMBU's Computational Science and Engineering Group (CSE) has achieved a new milestone in Vertical Axis Wind Turbine (VAWT) design. During a recent visit to RGU’s Wind Tunnel Lab, joint experimental tests were conducted to enhance wind turbine designs by integrating experimental and computational methods. This partnership is paving the way for more efficient and sustainable wind energy solutions.

Advancing Controlled Environment Agriculture Using Artificial Intelligence

September 2024

The leader of CSE group, Muhammad Salman Siddiqui is part of a newly accepted Industrial Ph.D. project titled: "Advancing Controlled Environment Agriculture Using Artificial Intelligence“. This prestigious project, approved by the Norwegian Research Council, is a collaborative effort between RiftLabs, the Norwegian University of Life Sciences (NMBU).

Haris visit Fraunhofer

June 2024

Haris Hameed Mian (PhD student) successfully completed his research stay at Fraunhofer Institute for Wind Energy Systems (IWES), Oldenburg, Germany. During his tenure, he concentrated on advancing and refining floating offshore wind turbine modeling using OpenFOAM, contributing to the cutting-edge research in this critical area of renewable energy technology.

FLOW

April 2024

The CSE group has delivered a seminar on the topic of wind resource assessment for  FLOW: Flexible Learning for Offshore Wind program at UIA.  FLOW is a continuing education program at bachelor's level offered by the University of Agder, in collaboration with Equinor, GCE NODE and Windport. The program is financed by the Directorate for Higher Education and Skills (HK-dir).

CSE group visit Lakehead Canada

March 2024

The CSE group leader visited Lakehead University in Canada to develop a collaborative framework for future grant writing, focusing on student exchanges and joint research. Key areas of collaboration include renewable energy and northern climate challenges. This partnership aims to strengthen ties and secure funding for impactful research projects.

n2N

Jan 2024

The computational science and engineering research group has received N2N Mobility grant. The aim of the grant is to enhance the bilateral student mobility programs between NMBU, Canadian and  UK universities

Horizon Europe

April 2023

CSE group granted funding from Horizon Europe Marie Skłodowska-Curie Actions on the project Super-CO2: Evaluation of thermohydraulic characteristics of printed circuit heat exchangers in the pseudocritical region for supercritical CO2 cycle. The project will characterize the complex thermohydraulic behavior of CO2 in the pseudocritical region by employing a combination of experimental, numerical, and machine learning techniques.

Otman Kouaissah

Jan 2023

Otman Kouaissah from Università degli Studi di Bergam, Italy, visited CSE group as a guest researcher. His research was focused on detailed 3D CFD analysis of a straight-blade H-shaped VAWT operating in a tilted condition, typical for floating offshore platforms, focusing on performance and wake development. The findings highlight the significant impact of 3D flow effects, including strut-induced flow and finite blade effects, on the turbine's aerodynamics and energy production efficiency.

CSE_group

Dec 2022

Participated in the Forskningløft project, which aims to develop competence and strengthen collaborations across various departments to strengthen the integrated research environment. This initiative will also enhance our prospects for securing funding for top-tier research projects, including prestigious programs such as the EU's ERC and Marie Curie grants, as well as the Research Council's FriPro.

Wind turbine AI

Dec 2022

Started the PhD project: Intelligent CFD Methods for Offshore Wind Turbines; the project aims to conduct research and innovation in flow simulation in offshore wind turbines by combining high-fidelity computational fluid dynamics (CFD) models with machine learning (ML) models. The developed state-of-the-art models are expected to be integrated into future digital twin technology to fulfill the industrial needs of computationally efficient tools and form a basis for condition monitoring, prediction, analysis, and maintenance of offshore wind turbines. Key research areas that will be exploited in the Ph.D. research project will be physics-based and data-driven Reduced Order Models (ROM) to simulate and predict wind farm flows, especially in the wake region.

Realtek

Sep 2022

Oliver S. Carlo visited the CSE group from Italy, where he conducted an in-depth study on passive methods for improving air quality in urban canyons. His research focused on altering canyon geometry with porous obstacles, such as vegetation, and non-porous barriers to enhance pollutant dispersion, while also addressing the challenges in implementing these measures and contributing to the development of urban design guidelines for better air quality.

Research Projects