Anwar, Muhammad Bashar
Anwar, Muhammad Bashar
Anwar, Muhammad Bashar
Now showing 1 - 4 of 4
- PublicationOptimal charging schedules for thermal electric storage in the absence of communicationThermal Electric Storage (TES) has emerged as a promising power-to-heat technology with the potential of enabling active Demand Side Management (DSM). Optimal exploitation of the DSM capability of TES devices requires twoway communication with the grid. However, several contingencies and/or limitations on communication capabilities would render these storage devices incapable of being of any service to the system. This study presents the development of optimal charging schedules for the distributed TES devices which would determine the operation of these devices in the absence of communication. Different strategies are proposed which determine optimal TES charging dependence on local parameters including time of the day, household power consumption and outside temperature. Performance of the proposed charging schedules is then compared to the optimal communication-enabled and the conventional night-time charging scenarios for the All-Island Power System (AIPS). The results demonstrate the superiority of the proposed strategies as compared to the conventional night-time charging in terms of significant reduction in annual generation costs and energy consumption. Additionally, charging based on the proposed strategies can achieve up to 43% of the total cost savings potential of the communication-enabled scenario.
- PublicationAn integrated Building-to-Grid model for evaluation of energy arbitrage value of Thermal StorageThermal Electric Storage (TES) has emerged as a promising technology for enhancing the flexibility of the built environment to participate in active Demand Side Management (DSM). These devices allow the decoupling of intra-day scheduling of electric power demand from the time of thermal energy end-use. Therefore, if enabled with communication with the grid, these devices can facilitate load shifting and energy arbitrage. This study evaluates the energy arbitrage value of smart TES devices in residential buildings across Ireland. A Building-to-Grid (B2G) model has been developed which integrates the buildings thermal dynamics and end-use constraints with the power systems economic dispatch model. The thermal behavior of the houses and the TES space heater and hot water tank is modeled through linear state space models for three different mid-flat archetypes. The optimization results show the load shifting and arbitrage potential of TES and its impacts on wind curtailment considering various penetration levels of these devices.
- PublicationReview of Strategies for the Geometric Creation and Population of Urban Microclimate ModelsHeightened demand for larger and more accurate microclimate models for heat transfer, pollution accumulation, and wind level prediction has posed new challenges for researchers working in wind tunnels, as well as those employing computational fluid dynamics modeling. Namely, the problem is how to generate geometrically accurate and up to date models inexpensively and quickly without compromising potentially critical details. The problem is an important and growing one, as there is an increased tendency to use such models as the basis for planning permission and long-term policy decisions in urban areas. This review paper traces the recent evolution in the size and detail-level of microclimate models (both physical and numerical) and explains the difficulties of applying the existing technology traditionally adopted in virtual city model creation. Finally, the paper provides an overview of recent innovations in the geometric creation and population of microclimate models to overcome existing documented deficiencies in an absence of architectural detailing in the investigated models through use of aerial laser scanning data.
- PublicationEvaluation of Flexibility Impacts of Thermal Electric Storage Using an Integrated Building-to-Grid ModelDemand Side Management (DSM) using Thermal Electric Storage (TES) presents a promising opportunity for enhancing the system flexibility, resulting in reliable and economic operation of future low-carbon power systems. Systemwide analysis of the flexibility potential of TES necessitates representation of dynamic thermal models in large-scale power systems models. Therefore, this study presents a novel Buildingto- Grid (B2G) model integrating buildings’ thermal dynamics and end-use constraints with a security-constrained unit commitment model for energy and reserve scheduling. The behaviour of residential thermal demand is represented through linear state space (RC-equivalent) models for different residential archetypes. The B2G model is subsequently used to evaluate the energy arbitrage and reserve provision potential of TES for a test system and various sensitivity analyses for wind penetration levels and presence of other flexibility options have been conducted. The optimisation results highlight the significant value of TES in terms of annual generation cost savings, reserve provision, peak load reduction and utilization of wind energy. The findings also emphasize the importance of co-optimising energy arbitrage and reserve provision from TES devices vis-a-vis system performance and household energy consumption scheduling
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