A5022594750- Integrated Energy Systems Optimization
- Building Energy and Comfort Optimization
- Hybrid Renewable Energy Systems
- Smart Grid Energy Management
- Energy and Environment Impacts
- Global Energy Security and Policy
- Global Energy and Sustainability Research
- Water-Energy-Food Nexus Studies
- Maritime Transport Emissions and Efficiency
- Microgrid Control and Optimization
- Sustainable Building Design and Assessment
- Energy Load and Power Forecasting
- Disaster Management and Resilience
- Advanced battery technologies research
- Electric Power System Optimization
- Electric Vehicles and Infrastructure
- Energy Efficiency and Management
- Catalytic Processes in Materials Science
- Public Relations and Crisis Communication
- Wind Energy Research and Development
- Flood Risk Assessment and Management
- Advanced Battery Technologies Research
- Environmental Impact and Sustainability
- Solar Radiation and Photovoltaics
- Spacecraft and Cryogenic Technologies
Energy Institute
2015-2025
University College London
2016-2025
University of Nottingham
2010-2011
Centre for Sustainable Energy
2010-2011
Loughborough University
2009
Climate data can be used in simulations to estimate the output of wind turbines locations where meteorological observations are not available. We perform most comprehensive evaluation NCEP CFSR reanalysis model hourly speed hindcasts date, and first for UK, by correlating against 264 onshore 12 offshore synoptic weather stations, over a period 30 years. The correlation situ measurements is similar alternative approaches other studies both offshore. investigate impact topography, land use...
Medium Neural Networks (MNN), Whale Optimization Algorithm (WAO), and Support Vector Machine (SVM) methods are frequently used in the literature for estimating electricity demand. The objective of this study was to make an estimation demand Turkey’s mainland with use mixed MNN, WAO, SVM. Imports, exports, gross domestic product (GDP), population data based on input from 1980 2019 Turkey, demands up 2040 forecasted as output value. performance analyzed using statistical error metrics Root...
Results are presented from a field study that deployed demand-shifting technology on sample of 28 homes connected to district heating (DH) network in England over the winter 2015/16. The study's aim was improve load factor participating households. This has potential attractiveness DH and accelerate roll out networks. Capital costs lowered by reducing required boiler capacity pipework sizes. Operational reduced increasing coverage primary plant heat losses pumping energy. interventions were...
This research compares the potential environmental impacts of heat pumps with gas boilers and scenario analysis through utilising life cycle approach. The study analyses current situation baseline model assesses future applications Circular Economy (CE), Resource Efficiency (RE) Limited Growth (LG) scenarios. Then, hybrid low-carbon technologies different manufacturing scenarios are investigated according to CE Our results show that use phases responsible for 74% 14% all on average as...
This study reviews a selection of approaches that have used Artificial Neural Networks (ANN), Particle Swarm Optimization (PSO), and Multi Linear Regression (MLR) to forecast electricity demand for Gokceada Island. Networks, Optimization, methods are frequently in the literature. Imports, exports, car numbers, tourist-passenger numbers as based on input values from 2014 2020 Island, energy demands up 2040 estimated an output value. The results obtained were analyzed using statistical error...
Accurate instantaneous electricity peak load prediction is crucial for efficient capacity planning and cost-effective network establishment. This paper aims to enhance the accuracy of forecasting by employing models incorporating various optimization machine learning (ML) methods. study examines impact independent inputs on estimation through combinations subsets using multilinear regression (MLR) equations. research utilizes input data from 1980 2020, including import export data,...
Abstract. The insurance of green economy assets against natural hazards is a growing market. This study explores whether currently available published knowledge adequate for the vulnerability assessment these to hazards. A matrix constructed demonstrate functional loss 37 asset classes in renewable energy, construction, resource management, carbon capture and storage, energy sustainable transportation sectors. 28 adopted range from environmental geophysical events oceanic, coastal, space...
The increasing level in renewable energy capacity presents new challenges. In essence, renewables are weather-dependent and inputs such as solar radiation or wind not constantly available. integration of storage technologies important to improve the potential for flexible demand ensure that excess can be stored use at a later time. This paper will explore various types physical currently employed worldwide. Such examples include direct electrical batteries, thermal storages hot water tanks...
The construction and subsequent analysis of scenarios using energy systems models is an essential tool in policy making. This paper presents two descriptive for the development UK system to 2050, four decadal time-slices. scenarios, K_Scenario Z_Scenario, were modelled with use Department Energy Climate Change (DECC) 2050 Pathways Calculator. a scenario which fossil fuels carbon capture storage (CCS) are prominent power sector, while Z_Scenario focuses on renewables nuclear power. Both seek...