ÌìÃÀ´«Ã½app

As a pivotal solution to energy concerns, photovoltaic energy generation has been under considerable attention over the recent decades. Our scope of research includes:

• Maximum Power Point Tracking (MPPT) techniques
• mitigation on negative impacts of partial shading conditions on efficiency of photovoltaic (PV) arrays
• forecast on weather conditions using novel techniques such as Artificial Intelligence
• development of PV-integrated buildings in residential areas

Addressing the technical and operational challenges of increased Distributed Energy Resources (DER) integration

The rise of DER in the electricity grid presents a promising path towards a more sustainable energy future. However, this transition comes with its unique set of technical and operational challenges.

At the forefront of addressing these challenges is the implementation of Demand Response (DR) solutions. In this context, the efficient scheduling of flexible loads plays a pivotal role.

Introducing our open DR model

We're excited to present our open Automated Demand Response (ADR) based model. Our innovation revolves around optimising heating, ventilation and air conditioning (HVAC) systems in two of ÌìÃÀ´«Ã½app's commercial buildings.

Multi-agent approach for efficiency

Our multi-agent Transactive Demand Response (TDR) based model optimises energy use on factors like activity, weather and occupancy. This enhances HVAC efficiency and maximises onsite renewables.

Real-life demonstration and integration

We're not just theory; we're practical. Demonstrating a novel TDR technique adhering to open ADR standards, we aim to reduce peak demand and decarbonise using renewable energy and energy storage system.

Commercialisation of intellectual property

Our research delivers tangible results. We've developed IP-driven algorithms for ÌìÃÀ´«Ã½app's commercial buildings – inviting industry partners to harness our innovations within the direct containment heating ecosystem.

Empowering microgrid management

A reusable open TDR framework for microgrid energy management is developed as an outcome of the project. Our models and algorithms enhance control in community microgrids.

Interactive control

Our web-based application empowers users to monitor and control commercial buildings' energy management systems – ensuring transparency and efficiency.

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Our projects include:

• bidirectional vehicle-to-grid (V2G) and grid-to-vehicle (G2V) system
• compensation on the intermittent nature of other renewable energy resources by integrating electric vehicles (EVs) into power grid
• adoption of EVs as dynamic storage systems for DC microgrids

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Reshaping the energy landscape for greater efficiency

In our pursuit of an energy-efficient and sustainable future, we are embarking on an exciting project focused on direct current (DC) microgrids and smart grids. These technologies are at the forefront of revolutionising how we generate, distribute and consume energy.

DC microgrids: a new paradigm

DC microgrids represent a paradigm shift in energy management. By utilising DC power distribution, we are reducing conversion losses, enhancing reliability and enabling seamless integration of renewable energy sources. Our project aims to showcase the real-world potential of DC microgrids in various settings.

Smart grids: a smarter way forward

Smart grids are the backbone of the modern energy landscape. They empower us to monitor, control and optimise energy flows in real time. Through advanced sensors, communication networks and data analytics, smart grids enhance grid resilience and enable more efficient utilisation of resources.

Key objectives

Our project is designed to achieve several critical objectives:

• Efficiency enhancement: We are committed to demonstrating how DC microgrids can significantly improve energy efficiency, reduce waste and minimise environmental impact.
  
• Reliability and resilience: Smart grid technologies play a pivotal role in ensuring a reliable power supply. We are working to enhance grid resilience against disruptions and provide uninterrupted power to critical infrastructure.
  
• Renewable integration: We are exploring innovative ways to integrate renewable energy sources seamlessly into our energy systems – making clean energy more accessible and dependable.
• Data-driven decision-making: Leveraging data analytics, we are developing tools and systems that enable data-driven decision-making – ensuring that energy resources are utilised optimally.
• Community engagement: We believe in the importance of engaging with communities to foster understanding and collaboration. Through educational outreach and partnerships, we aim to raise awareness about the benefits of DC microgrids and smart grids.
  

A Sustainable Energy Future

Our project is not just about technology; it's about creating a sustainable energy future. We invite you to join us on this journey as we explore the potential of DC microgrids and smart grids. Together, we can reshape the energy landscape, reduce carbon emissions, and build a cleaner and more efficient world for generations to come.

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Wind turbines are a reasonable solution to compensate for the lack of the predictability that arises from solar photovoltaic (PV) resources.

Due to fluctuations of air stream, the design of control circuits to mitigate and process the output power of wind turbine is of high importance.

Our research group has a special focus on this type of renewable energy since there are numerous opportunities for this technology in the perspective.

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