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16,713 result(s) for "GRID SYSTEMS"
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Design and Impact Analysis of a Grid-Connected Solar Photovoltaic System in Ibri, Oman
This study investigates the feasibility of establishing a grid-connected power system in Ibri, Oman. The primary goal is to address the rising energy demands and contribute to fighting climate change. By leveraging Ibri’s resources, the research highlights the feasibility of such a system, focusing on its economic, technological, and environmental benefits. Using PVsyst software for planning and evaluation, the study assesses climate conditions, component choices, and performance predictions to ensure optimal system performance. The proposed 10.81 kWp solar power system estimates an energy production of 16,981 kWh, achieving a system efficiency of 67.2% based on the performance ratio (PR). The financial analysis estimates a payback period of 7.5 to 8.3 years, with an internal rate of return (IRR) of 11.15% and a net present value (NPV) of $32,024.28, confirming the project’s viability. The system is expected to reduce carbon emissions by 379.939 tons over its lifetime, highlighting the significant ecological benefits of adopting solar energy (SE). The research demonstrates that incorporating PV systems in regions like Ibri is technically viable, economically beneficial, and environmentally advantageous. This study is a valuable resource for energy initiatives, promoting sustainable power production methods and encouraging the broader adoption of renewable technologies for a sustainable future.
Optimal sizing and multi-energy management strategy for PV-biofuel-based off-grid systems
This study proposes a comprehensive framework for developing a multi-energy off-grid microgrid with the decoupled flow of thermal and electrical energies in a rural setting. A carbon-neutral microgrid with a hybrid generation system constituting a photovoltaic unit and a biofuel generator is proposed. In order to enhance the fuel utilisation efficiency, the biofuel generator is operated in combined cooling, heating, and power mode, and the recovered thermal energy forms the heat distribution network in the microgrid. The flexibility of system operation is improved by suitable multi-energy (electrical and thermal) storage. Firstly, an optimal sizing framework has been developed for the system as a mixed integer linear programming model. Secondly, a coordinated multi-energy management system (MEMS) has been developed for combined optimal dispatch of multiple generation and storage resources. The MEMS has been developed as a mixed integer non-linear programming model, which minimises system operational cost while considering minimum battery degradation to prolong its lifetime. Finally, a detailed economic analysis of the proposed system has been presented, highlighting the levellised cost of energy and net present value. Extensive case studies and simulation results depict the effectiveness and suitability of the proposed MEMS for the rural off-grid microgrid.
Integrating Emerging Design‐Build Technologies for Resilient Housing in the Navajo Nation
The Navajo Nation faces critical challenges in developing housing that is resilient to climate change while honoring cultural heritage. Socio‐economic disparities, limited infrastructure, and extreme environmental conditions demand innovative solutions that integrate sustainable practices with traditional Navajo values. This study critically examines the potential of smart design‐build technologies to create resilient, culturally appropriate housing tailored to the Navajo Nation’s unique needs, while interrogating the normative assumptions that often accompany Western frameworks of sustainability and innovation. This research combines a multidisciplinary literature review with a graduate‐level design studio’s explorative and applied insight. The literature review synthesizes advancements in sustainable technologies—such as off‐grid power systems, alternative materials, and participatory design methods—through a decolonial lens that challenges dominant planning paradigms. A conceptual framework was constructed to evaluate the intersection of cultural coherence, technological viability, material sustainability, socio‐environmental adaptability, and governance. Off‐grid solutions, including solar panels and wind turbines, offer clean energy alternatives, while locally sourced materials, like earth‐based and carbon‐environmentally informed additive manufacturing solutions, provide cost‐effective, low‐carbon options suitable for the arid climate. The study emphasizes participatory design, engaging local communities in developing housing solutions that align with cultural values and modern needs. By combining traditional Navajo architectural principles—such as circular forms and earthen materials—with smart technologies, the resulting designs are resilient, sustainable, and socially relevant. The design studio component enabled graduate students to explore speculative housing prototypes grounded in this framework, evaluated in dialogue with Navajo cultural liaisons and contextual constraints, thereby centering Indigenous perspectives in both process and output. The findings contribute to the broader discourse on smart, resilient infrastructure, offering insights for policymakers, designers, and funders to support localized, culturally and environmentally informed housing solutions in Indigenous communities.
Sustainable Logistics: Synergizing Passive Design and PV–Battery Systems for Carbon Footprint Reduction
As more companies strive for net-zero emissions, mitigating indirect greenhouse gas emissions embedded in value chains—especially in logistics activities—has become a critical priority. In the European logistics sector, sustainability and energy efficiency are receiving growing attention, given the sector’s intersectional role in both transportation and construction. This transition toward low-carbon logistics design not only reduces carbon emissions but also yields financial benefits, including operational cost savings and new market opportunities. This study examines the impact of passive design strategies and low-carbon technologies in a Swedish logistics center, assessed using the low-carbon design criteria from the BREEAM International standard, version 6. The findings show that passive energy-efficient measures, such as the installation of 47 skylights for natural daylighting, reduced light power density in accordance with AHSHARE 90.1-2019 and the integration of free night flushing, contribute to a 23% reduction in total energy consumption. In addition, the integration of 600 PV panels and 480 batteries with a capacity of 268 ampere-hours and 13.5 kWh storage, operating at 50 volts, delivers a further 56% reduction in carbon emissions. By optimizing the interaction between passive design and active low-carbon technologies, this research presents a comprehensive feasibility analysis that promotes sustainable logistics practices while ensuring a future-proof, low-carbon operational model.
High-performance parallel database processing and grid databases
The latest techniques and principles of parallel and grid database processing The growth in grid databases, coupled with the utility of parallel query processing, presents an important opportunity to understand and utilize high-performance parallel database processing within a major database management system (DBMS).
Capacity Optimization and Hierarchical Robust Control Verification of Wind–Solar–Diesel Hybrid Microgrid Based on Improved Multi‐Objective Grey Wolf Algorithm
Global decarbonization intensifies demand for off‐grid renewable microgrids in extreme environments like the Qinghai‐Tibet Plateau. Low atmospheric pressure, intense radiation, and diurnal temperature swings challenge capacity configuration and dynamic control. Existing hierarchical control lacks robustness against equipment degradation and load mutations, with limited high‐altitude hardware validation. This study proposes a codesign framework integrating enhanced multi‐objective grey wolf optimization and hierarchical robust control. Algorithm improvements include: tent chaotic mapping for population diversity, double clustering for solution distribution, and Gaussian–Cauchy mutation for dynamic constraints. Control innovations feature multistage convergence factors and SOC dynamic models for rapid power tracking and voltage/frequency regulation. This study addresses extreme‐environment challenges for off‐grid microgrids on the Qinghai‐Tibet Plateau through codesigned algorithmic and control innovations. We achieve multi‐objective component capacity optimization via an enhanced algorithm, while hierarchical robust control ensures operational feasibility. The upper control layer executes global scheduling based on algorithm‐optimized configurations; the lower layer enables real‐time power tracking and voltage/frequency regulation. This resolves the disconnect between traditional optimization and actual operation, enhancing adaptability to plateau‐specific disturbances (low voltage/pressure, temperature swings, renewable volatility). The improved algorithm accelerates convergence by 58.9% versus standard grey wolf optimization, maintaining > 97.1% power supply reliability. Using modular HIL platform, we simulated plateau conditions (low pressure, extreme temperatures, dust storms) to validate the algorithm‐control codesign. The results show that the improved algorithm significantly improves the global distribution uniformity of the Pareto solution set, maintains a high power supply reliability of 97.1% in the case of wind and solar energy resource fluctuations and sudden load changes, the probability of power shortage is less than 0.02, and the annual power shortage is less than 50 kW h, which fully meets the stringent reliability requirements of the plateau off‐grid system. The framework advances multi‐objective dynamic optimization codesign, accelerating renewable energy deployment in ecologically fragile regions. To address high‐altitude power transmission challenges, a composite controller was developed to suppress strong wind interference, demonstrating the effectiveness of hierarchical control in complex dynamic systems. Hardware‐in‐the‐loop experiments verified the robustness of the control algorithm, providing methodological support for developing experimental platforms for high‐altitude microgrids. Through finite element analysis and multi‐objective optimization‐driven structural parameter design, this study offers an engineering case study for designing high‐altitude microgrid architectures.
Assessing DER network cybersecurity defences in a power-communication co-simulation environment
Increasing penetrations of interoperable distributed energy resources (DER) in the electric power system are expanding the power system attack surface. Maloperation or malicious control of DER equipment can now cause substantial disturbances to grid operations. Fortunately, many options exist to defend and limit adversary impact on these newly-created DER communication networks, which typically traverse the public internet. However, implementing these security features will increase communication latency, thereby adversely impacting real-time DER grid support service effectiveness. In this work, a collection of software tools called SCEPTRE was used to create a co-simulation environment where SunSpec-compliant photovoltaic inverters were deployed as virtual machines and interconnected to simulated communication network equipment. Network segmentation, encryption, and moving target defence security features were deployed on the control network to evaluate their influence on cybersecurity metrics and power system performance. The results indicated that adding these security features did not impact DER-based grid control systems but improved the cybersecurity posture of the network when implemented appropriately.
A New Earth System Spatial Grid Extending the Great Circle Arc QTM: The Spherical Geodesic Degenerate Octree Grid
An Earth system spatial grid (ESSG) is an extension of a discrete global grid system (DGGS) in the radial direction. It is an important tool for organizing, representing, simulating, analyzing, sharing, and visualizing spatial data. The existing ESSGs suffer from complex spatial relationships and significant geometric distortion. To mitigate these problems, a spherical geodesic degenerate octree grid (SGDOG) and its encoding and decoding schemes are proposed in this paper. The SGDOG extends the great circle arc QTM in the radial direction and adopts different levels of the great circle arc QTM at different radial depths. The subdivision of SGDOG is simple and clear, and has multi-level characteristics. The experimental results demonstrate that the SGDOG has advantages of simple spatial relationships, convergent volume distortion, and real-time encoding and decoding. The SGDOG has the potential to organize and manage global spatial data and perform large-scale visual analysis of the Earth system.
A Cost-Effective Methodology for Sizing Solar PV Systems for Existing Irrigation Facilities in Chile
In the last five years, the Chilean Ministries of Agriculture and Energy developed a national strategy to incorporate renewable energies into various economic sectors. Since 2013, more than 1500 off-grid solar photovoltaic (PV) systems, with power ranging from 1 kW to 3 kW, were installed to drive existing irrigation systems in small and medium-sized farms for the exportation of fresh fruit. A net billing regulation was also implemented in 2014. This study shows a cost-effective methodology for the sizing of solar PV systems for existing irrigation facilities in Chile, in an effort to improve the competitiveness of the fresh-fruit industry. The same methodology may also be implemented in other Latin American countries. The article presents the analysis of four projects (two in the Atacama Region, and two in the Maule Region). The baseline situation of the four units was studied, as well as the energy-efficient actions that may be applied, in addition to the recommended characteristics of the selected PV system to drive the irrigation systems of small fresh-fruit farms. Off-grid and on-grid solar PV systems were analyzed, including some particularities of the Chilean regulations. The required water demand of the irrigation systems and their corresponding pressure heads were also determined. The electricity demand of the system was calculated, and the PV system was designed for an optimal irrigation system. Additionally, an economical assessment was made for two years. In the first year, the cost effectiveness of energy-efficient actions was evaluated for the irrigation system, and it was found that they had paybacks of approximately two years. In the second year, the implementation of a PV system in each demonstrative unit was evaluated. The on-grid solar PV system performed better than the off-grid system, with evaluated paybacks of approximately 12 years. Finally, some recommendations for a well-designed on-grid solar PV system were made on the basis of it lasting over 25 years, with an adequate operation and maintenance plan.
Transportation and Power Grid in Smart Cities
<p><b>PROVIDES POWERFUL INSIGHTS INTO THE COMMUNICATION NETWORKS AND SERVICES NEEDED TO MAKE SMART CITIES A REALITY</b> <p>With the increasing worldwide trend in population migration into urban centers, we are beginning to see the emergence of the kinds of mega&#45;cities which were once the stuff of science fiction. It is clear to most urban planners and developers that accommodating the needs of the tens of millions of inhabitants of those megalopolises in an orderly and uninterrupted manner will require the seamless integration of, and real&#45;time monitoring and response services for public utilities and transportation systems. Part speculative look into the future of the world&#39;s urban centers, part technical blueprint, this visionary book helps lay the groundwork for the communication networks and services on which tomorrow&#39;s &#34;smart cities&#34; will run. <p>Written by a uniquely well&#45;qualified author team, this book provides detailed insights into the technical requirements for the wireless sensor and actuator networks required to make smart cities a reality. A comprehensive guide for researchers, industrial planners, development engineers, and urban planners, among others, <i>Transportation and Power Grid in Smart Cities: Communication Networks and Services</i>: <ul> <li>Uniquely covers both transport systems and electricity grids as they relate to communication networking</li> <li>Discusses the technologies required for the integration of smart city power grids and intelligent transportation systems in a coherent and consistent manner</li> <li>Addresses an array of smart city building blocks, including smart power grids, intelligent transportation systems, internet&#45;of&#45;things, electric vehicles, and wireless sensor networks</li> <li>Bridges the divide between the fields of power systems, wireless communication, and city planning</li> </ul> <p>Its broad, yet in&#45;depth coverage makes <i>Transportation and Power Grid in Smart Cities: Communication Networks and Services</i> required reading for researchers, development engineers, urban planners, and public policymakers, as well as undergraduate and graduate students of electrical power systems, transportation management, wireless communication, civil engineering, and sustainable urban planning.