The Experts below are selected from a list of 309 Experts worldwide ranked by ideXlab platform
Stephen Whitely - One of the best experts on this subject based on the ideXlab platform.
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the technical economic and commercial viability of the vehicle to grid concept
Energy Policy, 2012Co-Authors: Jonathan Mullan, David Harries, Thomas Braunl, Stephen WhitelyAbstract:The idea that electric vehicles can be used to supply power to the grid for stabilisation and Peak time supply is compelling, especially in regions where traditional forms of storage, back up or Peaking supply are unavailable or expensive. A number of variants of the vehicle-to-grid theme have been proposed and prototypes have proven that the technological means to deliver many of these are available. This study reviews the most popular variants and investigates their viability using Western Australia, the smallest wholesale electricity market in the world, as an extreme test case. Geographical and electrical isolation prevents the trade of Energy and ancillary services with neighbouring regions and the flat landscape prohibits hydroelectric storage. Hot summers and the widespread use of air-conditioning means that Peak Energy Demand is a growing issue, and the ongoing addition to already underutilised generation and transmission capacity is unsustainable. The report concludes that most variants of vehicle-to-grid currently require too much additional infrastructure investment, carry significant risk and are currently too costly to implement in the light of alternative options. Charging electric vehicles can, however, be added to planned Demand side management schemes without the need for additional capital investment.
Lachlan Blackhall - One of the best experts on this subject based on the ideXlab platform.
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Network-Aware Demand-side Management Framework with A Community Energy Storage System Considering Voltage Constraints
IEEE Transactions on Power Systems, 2020Co-Authors: Chathurika P. Mediwaththe, Lachlan BlackhallAbstract:This paper studies the feasibility of integrating a community Energy storage (CES) system with rooftop photovoltaic (PV) power generation for Demand-side management of a neighbourhood while maintaining the distribution network voltages within allowed limits. To this end, we develop a decentralized Energy trading system between a CES provider and users with rooftop PV systems. By leveraging a linearized branch flow model for radial distribution networks, a voltage-constrained leader-follower Stackelberg game is developed wherein the CES provider maximizes revenue and the users minimize their personal Energy costs by trading Energy with the CES system and the grid. The Stackelberg game has a unique equilibrium at which the CES provider maximizes revenue and the users minimize Energy costs at a unique Nash equilibrium. A case study, with realistic PV power generation and Demand data, confirms that the Energy trading system can reduce Peak Energy Demand and prevent network voltage excursions, while delivering financial benefits to the users and the CES provider. Further, simulations highlight that, in comparison with a centralized system, the decentralized Energy trading system provides greater economic benefits to the users with less Energy storage capacity.
Byard D. Wood - One of the best experts on this subject based on the ideXlab platform.
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Feasibility of lowering the condenser's inlet water temperature of a chiller using thermal water storage
Applied Energy, 2000Co-Authors: J. Asrael, Patrick E. Phelan, Byard D. WoodAbstract:Abstract A novel approach is proposed for applying cool thermal storage to reduce the on-Peak Demand of a water-cooled chiller. By charging the store at night via a cooling tower, and using this water to supply the condenser of a chiller during on-Peak hours, cooler than normal water is supplied to the chiller. A feasibility study of this system was conducted using TRNSYS — a transient simulation modeling program examining varying capacities of cooling tower and thermal store volumes. These systems were tested using geographic weather data that demonstrated conducive diurnal changes in wet-bulb temperature ( T wet ). Results suggest that the use of cool water thermal storage in this way can reduce both on-Peak Energy Demand and on-Peak power use by as much as 35%. System optimization is dependent on the thermal storage efficiency, the capacity of the cooling tower, and the diurnal change in T wet .
Richa Kothari - One of the best experts on this subject based on the ideXlab platform.
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Thermal performance assessment of encapsulated PCM based thermal management system to reduce Peak Energy Demand in buildings
Energy and Buildings, 2016Co-Authors: Vineet Veer Tyagi, D. Buddhi, A K Pandey, Richa KothariAbstract:This communication presents the thermal performance and economic evaluation of the thermal management system (TMS) for cooling applications using calcium chloride hexahydrate as a phase change material. This experimental work was done to shift the Peak time cool Energy Demand for off Peak time. The PCM was selected for TMS on the basis of availability in the desired temperature range and long term thermal behavior. The designed system was tested with air conditioning system for cool Energy storage and discharged with three heating loads (1 kW, 2 kW and 3 kW) for the real life application. The energetic and exergetic efficiencies were also calculated and found to be highest for 1 kW and lowest for 3 kW heating load. The economic evaluation of the TMS has been carried with respect of per unit cost of electricity generated by coal, diesel and solar Energy and found that payback time is low for solar based generation in comparison to electricity generation by other sources. The results of this study were also compared with those of the theoretical values and are found in good agreement with each other.
Diane S Henshel - One of the best experts on this subject based on the ideXlab platform.
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Visualizing building Energy Demand for building Peak Energy analysis
Energy and Buildings, 2015Co-Authors: Ian Yarbrough, D.c. Reeves, Kwame Hackman, R. Bennett, Diane S HenshelAbstract:Abstract To better identify how to reduce Peak Demand charges for a university campus, we investigated the relationship between individual building Peak Demand and the campus Peak Energy use by evaluating the pattern of Energy use across time and day. To facilitate this evaluation, we developed a pivot table analysis tool that enables ready cross-building comparisons in a visually intuitive display. We used a university campus as an example to facilitate potential Peak Demand charge savings based on analysis of which buildings contribute to Peak Energy Demand, and understanding the factors contributing to that building-dependent Energy Demand.