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Start Over Search Limiters Available in Library Collection Topic energy management Publication Type Electronic Resources
5 results

1. Reduce Operating Costs with an EnergySmart School Project

Author

US Department of Energy, Office of Energy Efficiency and Renewable Energy

Abstract

Energy costs are a school district's second highest expenditure after personnel. Public schools currently spend more than $8 billion per year for energy. School energy expenditures rose, on average, 20 percent per year between 2000 and 2002--and the costs continue to rise. Natural gas prices alone increased 14 percent annually between 2003 and 2006. Improving a school's energy efficiency doesn't have to cost millions. In fact, schools can cut their energy expenses by 5 to 20 percent simply by efficiently managing and operating physical plants. This holds true regardless of the age of a school building. This paper offers tips for improving a school's energy efficiency.

Published
2008

2. Situation Awareness for Smart Distribution Systems.

Author

Ge, Leijiao, Ge, Leijiao, Sun, Yonghui, Wang, Zhongguan, and Yan, Jun

Subjects
History of engineering & technology, Technology: general issues, CNN, DC series arc fault, LSTM neural network, REDD dataset, TraceBase dataset, Wasserstein distance, attention mechanism, attentional mechanism, capacity configuration, carbon emission, climate factors, community integrated energy system, comprehensive framework, conditional value-at-risk, convolutional neural network, correlation analysis, critical technology, denoising auto-encoder, distributionally robust optimization (DRO), electric heating, electric vehicle, energy management, high-quality operation and maintenance, inertia security region, integrated energy system (IES), joint chance constraints, lightweight convolutional neural network, linear decision rules (LDRs), load disaggregation, load forecasting, machine learning, multi-objective optimization, n/a, photovoltaic (PV) system, power spectrum estimation, power-to-hydrogen, receding horizon optimization, secondary equipment, short text classification, short-term load forecasting, situation awareness, smart distribution network, storage, sustainable wind-PV-hydrogen-storage microgrid, temporal convolutional network, thermal comfort, user dominated demand side response, wind-photovoltaic-thermal power system
Abstract

Summary: In recent years, the global climate has become variable due to intensification of the greenhouse effect, and natural disasters are frequently occurring, which poses challenges to the situation awareness of intelligent distribution networks. Aside from the continuous grid connection of distributed generation, energy storage and new energy generation not only reduces the power supply pressure of distribution network to a certain extent but also brings new consumption pressure and load impact. Situation awareness is a technology based on the overall dynamic insight of environment and covering perception, understanding, and prediction. Such means have been widely used in security, intelligence, justice, intelligent transportation, and other fields and gradually become the research direction of digitization and informatization in the future. We hope this Special Issue represents a useful contribution. We present 10 interesting papers that cover a wide range of topics all focused on problems and solutions related to situation awareness for smart distribution systems. We sincerely hope the papers included in this Special Issue will inspire more researchers to further develop situation awareness for smart distribution systems. We strongly believe that there is a need for more work to be carried out, and we hope this issue provides a useful open-access platform for the dissemination of new ideas.

3. Advances in Intelligent Vehicle Control.

Author

Cabrera, Juan A. and Cabrera, Juan A.

Subjects
History of engineering & technology, Technology: general issues, 3D multiple object detection, ADAS, EV charging scheduling, GNSS receivers, Internet of Things, Internet of connected vehicles, Kalman filter, LQR controller, RTK corrections, VMS, active air suspension, binary linear programming, binary quadratic programming, controller area network, curriculum learning, cybersecurity, deep learning, discrete-time sliding-mode current control (DSMCC), disturbance observer design, double lane change, driver vehicle system, dynamic SLAM, electric vehicle (EV), electric vehicles, electrical vehicles, energy management, environment perception, heterogeneous networking, heterogeneous vehicular communication, high efficiency, image processing, in-vehicle network, inertial sensors, intelligent mobility, intrusion detection, machine learning, model-based control, motorcycle lean angle, multiple object tracking, n/a, noninverting buck-boost converter, nonlinear height control, output constraints, random road excitation, reinforcement learning, roll angle estimator, safety optimization, semantics, sensor redundancy, sim-to-real world, transfer learning, tyre thermodynamics, tyre wear, vehicle control, vehicle dynamic potential, vehicle localization, vehicle safety, vehicular ad hoc networks, weather influence, wide bandwidth control
Abstract

Summary: This book is a printed edition of the Special Issue Advances in Intelligent Vehicle Control that was published in the journal Sensors. It presents a collection of eleven papers that covers a range of topics, such as the development of intelligent control algorithms for active safety systems, smart sensors, and intelligent and efficient driving. The contributions presented in these papers can serve as useful tools for researchers who are interested in new vehicle technology and in the improvement of vehicle control systems.

4. Biomass for Sustainability. Resource, Technology Conversion and Energy Management.

Author

López-Ochoa, Luis M., López-Ochoa, Luis M., and Paredes-Sánchez, José P.

Subjects
History of engineering & technology, Technology: general issues, Kissinger method, SciMAT, Shuffled Complex Evolution, anaerobic digestion, analysis of science mapping, bibliometric analysis, biogas, biomass, biomass combustion, biomass cooking stoves, circular economy, clean technology, decentralized biowaste management, domestic heating, energetic densification, energy conversion, energy management, energy transition, green tide, life cycle assessment, local circularity, municipal solid waste, olive waste, optimisation, organic fraction, parameter optimization, particle emission, pretreatment, pyrolysis kinetics, renewable energy, resource recovery, sustainability, sustainable cities, systematic literature review, technology, thermal system, torrefaction, waste treatment, water hyacinth, zero discharge
Abstract

Summary: The decarbonization of all sectors is essential in addressing the global challenge of climate change. Bioenergy can contribute to replacing our current dependence on fossil fuels and offers significant possibilities in many conventional and advanced applications, from power to heating and cooling installations. Energy systems in the building and industrial sectors can convert biomass to other usable forms of energy and improve energy performance. Moreover, bioenergy sustainability means energy can be managed for an extended period of time. Further research is needed to develop better green energy production methods and new procedures to evaluate and valorize biomass in a circular economy context. Some of the most critical bottlenecks to increase the use of bioenergy are energy conversion and management from resource to final energy. The countries where this source is strengthened can achieve security of energy supply and energy independence. In addition, biomass boilers and biomass district heating systems are interesting options to achieve nearly zero-energy buildings, contributing the needed biomass harvesting to rural development and to improve resource planning and distribution. The aim of this book is to present a comprehensive overview and in-depth technical research papers addressing recent progress in biomass-based systems and innovative applications.

5. Grid-Connected Renewable Energy Sources.

Author

Hernandez, J. C. and Hernandez, J. C.

Subjects
Research & information: general, Technology: general issues, DC-DC power converter, DG placement, Europe, FSWT-SCIG, IEC standards, LC impedance source converter, MPPT, advanced metering infrastructure, alternating current networks, ancillary services, battery storage system, bi-directional converter, bi-directional power flow, computations methods, control of power electronic converters, control strategies, coordinated control, data acquisition, direct current networks, discrete-sine cosine algorithm, distributed generation, electric vehicle charging, energy management, energy management systems, energy storage, evolutionary algorithms, frequency stabilization, fuzzy controller, high-fidelity battery model, hybrid system, interconnected power systems, latencies, low-cost, metaheuristic optimization, mixed-integer nonlinear programming, monitoring, non-linear optimization, open source, optimal power flow, passivity-based control, photovoltaic emulator, photovoltaic panel, power conditioning devices, power measurement, power quality, power system stability, power systems analysis, prognostic and diagnostic, proportional-integral control, releasable and absorbable energy, renewable energy conversion, renewable energy integration, renewable energy policies, second-cone programming, single diode model, smart meter, solar energy, synchronous generator, time-delay effects, uncertainty evaluation, voltage regulation, voltage source converter, wide area monitoring systems, wind energy, wind turbine generator
Abstract

Summary: The use of renewable energy sources (RESs) is a need of global society. This editorial, and its associated Special Issue "Grid-Connected Renewable Energy Sources", offers a compilation of some of the recent advances in the analysis of current power systems that are composed after the high penetration of distributed generation (DG) with different RESs. The focus is on both new control configurations and on novel methodologies for the optimal placement and sizing of DG. The eleven accepted papers certainly provide a good contribution to control deployments and methodologies for the allocation and sizing of DG.