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Articles 1 - 7 of 7
Full-Text Articles in Engineering
Forecasting Nigeria's Electricity Demand And Energy Efficiency Potential Under Climate Uncertainty, Olawale Olabisi
Forecasting Nigeria's Electricity Demand And Energy Efficiency Potential Under Climate Uncertainty, Olawale Olabisi
Doctoral Dissertations
The increasing population and socio-economic growth of Nigeria, coupled with the current, unmet electricity demand, requires the need for power supply facilities expansion. Of all Nigeria’s electricity consumption by sector, the residential sector is the largest and growing at a very fast rate. To meet this growing demand, an accurate estimation of the demand into the future that will guide policy makers to adequately plan for the expansion of electricity supply and distribution, and energy efficiency standards and labeling must be made. To achieve this, a residential electricity demand forecast model that can correctly predict future demand and guide the …
Energy Efficiency: Case Of Study For An Italian Railway Station, Kliton Bylykbashi, Giuseppe Bonifazi, Riccardo Gasbarrone, Silvia Serranti
Energy Efficiency: Case Of Study For An Italian Railway Station, Kliton Bylykbashi, Giuseppe Bonifazi, Riccardo Gasbarrone, Silvia Serranti
UBT International Conference
The study will analyze the thermal and electrical energy consumption of the largest Italian railway stations, comparing the clustered data from yr. 2014 to yr. 2018, to evaluate the energy consumption trend in TOE, Tonnes of Oil Equivalent. The aim will be the electrical and thermal consumption reduction, thanks to the use of the photovoltaic technology, integrated with batteries and BACS (building automation and control system). A specific software (Termolog Design Photovoltaic and Acca Solarius PV) has been used to carry out the results; to identify improvement solutions, an algorithm made it possible to identify the best set point of …
Dynamic Hvac Energy Management Using Commercial Building Occupancy Metrics & Neural Networks, Krishna Chaitanya Jagadeesh Simma
Dynamic Hvac Energy Management Using Commercial Building Occupancy Metrics & Neural Networks, Krishna Chaitanya Jagadeesh Simma
Civil Engineering ETDs
With the rise of technology use in buildings, it is now possible to collect data that can be used to improve building energy consumption. One factor that has significant impact on building energy consumption is occupancy. Recent studies have shown promising results in obtaining occupancy information from existing infrastructure such as WiFi router networks. However, these existing frameworks require additional investments through software upgrades, added infrastructure, computational resources, and may raise occupant privacy concerns. Additionally, with occupant thermal comfort statistics being lower than ASHAREA specified standards, a novel approach for indoor climate control is needed. To address the limitations in …
Characterization Of Near Isothermal Compression And Expansion For Energy Storage, Saiid Kassaee
Characterization Of Near Isothermal Compression And Expansion For Energy Storage, Saiid Kassaee
Doctoral Dissertations
As the global share of electricity generation from intermittent renewable energy sources increases, developing efficient and scalable electricity storage technologies becomes critical to modernizing the grid, matching the supply and demand, and raising the capacity factor of renewable generation. The Ground-Level Integrated Diverse Energy Storage (GLIDES) is an efficient energy storage technology invented at Oak Ridge National Laboratory (ORNL). GLIDES stores energy by compressing gas using a liquid piston in pressure vessels benefiting from employing hydraulic turbomachinery which are more efficient than gas turbomachinery. Therefore, GLIDES has higher round-trip efficiency (RTE) than Compressed Air Energy Storage (CAES). Since GLIDES employs …
Experimental Investigation Of Spray Cooling/Heating Of A Near-Isothermal Hydro-Pneumatic Energy Storage System, Saiid Kassaee
Experimental Investigation Of Spray Cooling/Heating Of A Near-Isothermal Hydro-Pneumatic Energy Storage System, Saiid Kassaee
Masters Theses
Proposing experimental investigation of spray cooling/heating of a near-isothermal, scalable, efficient, high density, hydro-pneumatic integrated energy storage system; capable of spray cooling/heating during gas compression/expansion and capable of excess heat integration. The invented Ground-Level Integrated Diverse Energy Storage (GLIDES) is an energy storage technology capable of storing energy in high-pressure vessel using hydro-pneumatic concept. Indicated roundtrip efficiencies of 98% can be reached using the proposed technology marking an isothermal compression/expansion energy storage.
Bibliometric Analysis Of Particle Swarm Optimization Techniques Used To Enhance Low-Energy Adaptive Clustering Hierarchy Protocol For Wireless Sensor Networks, Anupkumar M. Bongale Dr.
Bibliometric Analysis Of Particle Swarm Optimization Techniques Used To Enhance Low-Energy Adaptive Clustering Hierarchy Protocol For Wireless Sensor Networks, Anupkumar M. Bongale Dr.
Library Philosophy and Practice (e-journal)
Wireless Sensor Network (WSN) is a network of tiny wireless sensor nodes. The sensor nodes sense information and transmit the sensed information to a data collection point known as Base Station. WSNs have gained massive popularity due to their incredible benefits, and active research is ongoing for the past two decades. The primary concern with WSN is that the sensor operates on a limited power supply. Due to the nature of applications of WSNs and the hostile environment where the sensors are deployed, providing unlimited power or energy supply is not an option. Hence, the research work mainly focuses on …
An Equest Based Building Energy Modeling Analysis For Energy Efficiency Of Buildings, Saroj Lamichhane
An Equest Based Building Energy Modeling Analysis For Energy Efficiency Of Buildings, Saroj Lamichhane
Graduate Theses, Dissertations, and Problem Reports
Building energy performance is a function of numerous building parameters. In this study, sensitivity analysis on twenty parameters is performed to determine the top three parameters which have the most significant impact on the energy performance of buildings. Actual data from two fully operational commercial buildings were collected and used to develop a building energy model in eQUEST. The model is calibrated using Normalized Mean Bias Error (NMBE) and Coefficient of Variation of Root Mean Square Error (CV(RMSE)) method. The model satisfies the NMBE and CV(RMSE) criteria set by the American Society of Heating, Refrigeration, and Air-Conditioning (ASHRAE) Guideline 14, …