Browsing by Author "Tenhunen, Hannu"

Now showing 1 - 8 of 8
  • Thumbnail Image
    Item
    Active Learning through Smart Grid Model Site in Challenge Based Learning Course
    (Journal of Systemics, Cybernetics and Informatics, 2018-10) Kalinga, Ellen A.; Ibwe, Kwame S.; Mvungi, Nerey H.; Tenhunen, Hannu
    Smart Grid is a new and growing technology to developing countries. Its implementation and sustainability rely on well trained experts. Sustainability of the smart grid need local experts, hence a project named iGRID: Smart Grid Capacity Development and Enhancement in Tanzania was started. The project is running at the College of Information and Communication Technologies, University of Dar es Salaam. It intends to generate the necessary technical and scientific skills to ensure sustainable implementation of smart grid. iGRID project introduced taught PhD and Masters programs focusing on society, innovation and entrepreneurship in iGRID aspects, as well as to facilitate implementation of automation of monitoring, evaluation, analysis, control and management of electrical power system (smart grid) in order to improve delivery efficiency and to optimize operational costs in the electrical power system in Tanzania. The project made use of Challenge-Based Learning (CBL) methodology to engage students to work together with stakeholders in identifying challenges facing electrical power system in Tanzania. This paper presents the experience of using CBL methodology to achieve active learning to engineering students. The dynamicity of the teaching model, allowed students to acquire skills necessary to solve medium to high tech complex problems. The results build a continuous learning platform for students researching in electrical field.
  • Thumbnail Image
    Item
    Active Learning through Smart Grid Model Site in Challenge Based Learning Course
    (2018-07) Kalinga, Ellen A.; Ibwe, Kwame S.; Mvungi, Nerey H.; Tenhunen, Hannu
    Smart Grid is a new and growing technology to developing countries. Its implementation and sustainability rely on well trained experts. Sustainability of the smart grid need local experts, hence a project named iGRID: Smart Grid Capacity Development and Enhancement in Tanzania was started. The project is running at the College of Information and Communication Technologies, University of Dar es Salaam. It intends to generate the necessary technical and scientific skills to ensure sustainable implementation of smart grid. iGRID project introduced taught PhD and Masters programs focusing on society, innovation and entrepreneurship in iGRID aspects, as well as to facilitate implementation of automation of monitoring, evaluation, analysis, control and management of electrical power system (smart grid) in order to improve delivery efficiency and to optimize operational costs in the electrical power system in Tanzania. The project made use of Challenge-Based Learning (CBL) methodology to engage students to work together with stakeholders in identifying challenges facing electrical power system in Tanzania. This paper presents the experience of using CBL methodology to achieve active learning to engineering students. The dynamicity of the teaching model, allowed students to acquire skills necessary to solve medium to high tech complex problems. The results build a continuous learning platform for students researching in electrical field. Keywords: Active Learning, Smart Grid, Challenge-Based Learning, Tanzania.
  • Thumbnail Image
    Item
    Adopting Renewable Energy in Tanzania: Opportunities and Challenges
    (IFIP-WG8.9 Enterprise Information Systems, 2017-10-19) Shililiandumi, Naiman; Rwegasira, Diana; Kalinga, Ellen; Kondoro, Aron; Dhaou, Imed Ben; Kwame, Ibwe; Kelati, Amleset; Mvungi, Nerey H.; Tenhunen, Hannu
    Abstract: Solar energy is one of the sources of power that is obtained in a natural way. Many countries, especially developing countries are making use of the renewable energy for the benefit of their communities, however, the issue of counting the benefit of using solar energy, mainly on cost bases remained undefined to many users/consumers at their premises. In this paper, the research on how thermal solar power can effectively be used in the house to minimize the cost, its requirements and the payback money upon investing on solar power is being addressed. The scenario was based on comparing the cost spends by the residential house with thermal solar power and another house without thermal solar power. The analysis shows that the electric energy saving per year when using solar power is about 51.52% for houses and flats, with payback for the investment cost within 3-4 years. The paper also discussed the building blocks for low-cost ICT infrastructures to deploy solar technologies.
  • Thumbnail Image
    Item
    Communication and Security Technologies for Smart Grid
    (IGI Global, 2017-07) Dhaou, Imed Ben; Kondoro, Aron; Kelati, Amleset; Rwegasira, Diana; Naiman, Shililiandumi; Mvungi, Nerey H.; Tenhunen, Hannu
    Smart grid is a new paradigm that aims to modernize the legacy grid. It is based on the integration of ICT technologies, renewable energy and advanced algorithms for management and optimization. Smart grid is a system of systems in which communication technology plays a vital role. Safe operations of the smart grid need careful design of the communication protocols, cryptographic schemes and computing technology. In this article, we survey the recently proposed algorithms, technologies, protocols and architectures for secure smart grid communication network.
  • Thumbnail Image
    Item
    A Framework for Load Shedding and Demand Response in DC Microgrid using Multi Agent System
    (FRUCT ASSOCIATION, 2017-11) Rwegasira, Diana; Dhaou, Imed Ben; Anagnoston, Anastasia; Kondoro, Aron; Shililiandumi, Naiman; Kelati, Amleset; Taylor, Simon J.E.; Mvungi, Nerey H.; Tenhunen, Hannu
    This paper presents a framework of load shedding experiment for a DC Microgrid using Multi-Agent System (MAS). The microgrid uses solar panels as source of energy to serve a community without access to electricity. The generated framework includes modelling of solar panels, battery storage and loads for effective control and better operation. The loads are classified as critical and non-critical loads. The agents are designed in a decentralized manner which include solar agent, storage agent and load agent. The load shedding experiment of the framework is mapped with the manual operation done at Kisiju village, Pwani, Tanzania. The results of the experiment focus on using accurate solar and PV panels which provide: (i) the multi agent system that runs in the DC microgrid, (ii) the controlling and monitoring of power to be used for critical and non-critical loads and (ii) the management power in the production process through selling extra power from an individual load to the storage
  • Thumbnail Image
    Item
    A Multi-Agent System for Solar Driven DC Microgrid
    ((ICCEREC, 2017-09) Rwegasira, Diana; Dhaou, Imed Ben; Kondoro, Aron; Shililiandumi, Naiman; Kelati, Amleset; Mvungi, Nerey H.; Tenhunen, Hannu
    This paper proposes a Multi-Agent System (MAS) modeling and control architecture for a solar driven DC microgrid. The microgrid consists of solar system as a source of power, energy storage system, critical and non-critical houses (loads) with their own solar and storage as well. For the proposed MAS an individual house can have the ability to sell extra power to the main solar source. The main solar source can generate power and provide to the community when needed. The MAS also controls and monitors an automatic load shedding technique to disconnect non critical loads when there is a deficiency of power supply to the system. The validity of the objectives are demonstrated by agent based system which runs under REPAST simulation tool which used successfully three loads: hospital and two houses during simulation
  • Thumbnail Image
    Item
    Simulation Tools for a Smart Micro-Grid: Comparison and Outlook
    (FRUCT ASSOCIATION, 2017-11) Kondoro, Aron; Dhaou, Imed Ben; Rwegasira, Diana; Kelati, Amleset; Shililiandumi, Naiman; Mvungi, Nerey H.; Tenhunen, Hannu
    Smart micro-grids are low voltage autonomous power systems that integrate information and communication technologies with electrical energy systems. In order to realize this, it is important to find the optimal configuration of components that will result in the most efficient and sustainable DC micro-grid. To facilitate this analysis, a number of modeling and simulation tools for power systems have been proposed. However, in practice, these tools differ widely in the features they provide and the implementation approach. In this paper, we compare the strength and weakness of four popular simulation tools for power systems: Anylogic, Repast, GridLAB-D and RAPSim. We propose a simplified model of a Photovoltaic (PV) panel for smart micro-grid which is implemented in all tools. We determine the strength and weaknesses of each tool based on ease of implementation, accuracy of the final model, and the ability to view results. We also recommend further improvements for existing tools
  • Thumbnail Image
    Item
    Telemonitoring of the PV Panels for Quality Assurance
    (IFIP-WG8.9 Enterprise Information Systems, 2017-10-19) Ibwe, Kwame; Rwegasira, Diana; Dhaou, Imed Ben; Kalinga, Ellen; Shilliandumi, Naiman; Kondoro, Aaron; Tenhunen, Hannu; Mvungi, Nerey H.
    The Tanzania’s power system master plan of 2012 targeted to increase per capita electricity consumption from 81kWh in 2011/12 to 200kWh by 2017/18, through increased generation capacity alongside renewable energy sources. To accelerate the plan solar power is the most viable solution to the 80% of Tanzanians with no access to grid power. Pilot project has been implemented at Kisiju village at the Pwani region. Photovoltaic (PV) based mini-grid has been constructed to supply electricity to village hospital, school, office, streetlights and selected residents. Telemonitoring of these PV cells is vital for better energy management, quality assurance and situation awareness. This paper proposes a system for real-time telemonitoring of PV cells for remote villages in Tanzania. The system senses, measure, process and share the power performance of the cells. The system uses Arduino and Raspberry PI for sensing, processing and networking for remote server access and for display. In this work, the Arduino board is used to monitor PV parameters such as voltage, current and temperature and to profile power generation. The Raspberry PI forms the core of the system that processes the sensed parameters and sends them through wireless network or Internet to the remote server. The information is displayed by the web application through which administrators can monitor the PV power generation status in real time. The system is configured such that data is sent only when there is a change to avoid network congestion and saving buffer space from accumulating redundant data in the server.