Accurate evaluations of the available and technically exploitable wave energy resources are fundamental to optimise design implementation converters in marine environment. However, long-term resource assessments have been primarily conducted for large-scale devices offshore energetic locations, thus ignoring onshore sites such as harbours with easier access, installation accessibility devices. ...

Untapped pine needles with high potential for energy generation in the hilly area are not only a waste of resource but also increase the chance of environmental hazards as forest fires and GHG emission. This study is conducted to propose a new hybrid system (PV/Wind/Biomass) using abundant pine needle resource as a replacement of existing roof-mounted PV/wind hybrid system and analyse the feasi...

Untapped pine needles with high potential for energy generation in the hilly area are not only a waste of resource but also increase the chance of environmental hazards as forest fires and GHG emission. This study is conducted to propose a new hybrid system (PV/Wind/Biomass) using abundant pine needle resource as a replacement of existing roof-mounted PV/wind hybrid system and analyse the feasi...

Abstract The ability to accurately assess renewable energy resources is an essential prerequisite to integrating renewable energy technologies into the energy supply portfolio of a community. This study investigates the potential for wind energy development in Guelph, a growing mid-size city in Southern Ontario, Canada. Community awareness of energy has led to the development of a Community Ene...

Virtual power plant (VPP) is an effective approach to aggregate distributed generation resources under a central control. This paper introduces a mixed-integer linear programming model for optimal scheduling of the internal resources of a large scale VPP in order to maximize its profit. The proposed model studies the effect of a demand response (DR) program on the scheduling of the VPP. The pro...

Growing concern in the management of energy due to the increasing energy costs, has forced managers to optimize the amount of energy required to provide products and services. This research integrates an energy-based resource investment project-scheduling problem (RIP) under a multi-skilled structure of the resources. The proposed energy based multi skilled resource investment problem (EB-MSRIP...

This paper studies how to exploit the predicted information to maximize energy efficiency (EE) of a system supporting hybrid services. To obtain an EE upper bound of predictive resource allocation, we jointly optimize resource allocation for video on-demand (VoD) and real-time (RT) services to maximize EE by exploiting perfect future large-scale channel gains. We find that the EE-optimal predic...